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1

Marks, James S., Gary C. Hogelin, Eileen M. Gentry, Jack T. Jones, Karen L. Gaines, Michele R. Forman, and Frederick L. Trowbridge. "The Behavioral Risk Factor Surveys: I. State-Specific Prevalence Estimates of Behavioral Risk Factors." American Journal of Preventive Medicine 1, no. 6 (November 1985): 1–8. http://dx.doi.org/10.1016/s0749-3797(18)31371-0.

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2

Schmid, Thomas L. "Monitoring Behavioral Risk Factors for Cardiovascular Disease in Russia." Circulation 103, suppl_1 (March 2001): 1345. http://dx.doi.org/10.1161/circ.103.suppl_1.9999-8.

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Анотація:
0008 The purpose of the project was to provide assistance to Russia in establishing a national surveillance system for monitoring CVD risk factors. The Behavioral Risk Factor Surveillance System, which was developed in the US and is used by all State Health Departments, served as a template for the Russian system. Personal interviews, mail-based and telephone-based surveys were reviewed and considered. Questions were taken from previous Russian, European, and US surveys to collect information on smoking, alcohol use, fruit and vegetable consumption, physical activity, blood pressure, self-reported CVD symptoms and previously diagnosed diseases. This was the first Russian phone-based health survey and was piloted in Moscow where a random sample of 6065 was selected from the 2,560,633 private phone listings. Initial analysis found that in general, prevalence of CVD risk factors was higher than in similar American surveys. The current smoking rate reached 52%, 30% had a BMI below 24 kg/m 2 , 60% reported average daily fruit consumption of less then 1/4 of a pound (200 g) per person in the summer, elevated, untreated blood pressure (more then 140/90 mm Hg) was reported by 25 % while another 10 % received medication for hypertension, 18% of men and 4% of women reported heavy drinking. Though duration of walking was rather high compared with the US (about 90 min per day), only 5 % engaged in other moderate physical activity on a regular basis; 20% of respondents said that they experienced CVD symptoms or were diagnosed with CVD. In general, CVD risk factors were more prevalent among men. Next year 11 additional sites will conduct the survey. These data help fill the gap in public health knowledge related to prevalence of CVD risk factors in Russia and demonstrate the value of establishing a monitoring system. They also indicate that immediate preventive measures are needed to improve the health status of the population.
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3

Marks, James S., Gary C. Hogelin, Eileen M. Gentry, Jack T. Jones, Karen L. Gaines, Michele R. Forman, and Frederick L. Trowbridge. "REPRINT OF: The Behavioral Risk Factor Surveys: I. State-Specific Prevalence Estimates of Behavioral Risk Factors." American Journal of Preventive Medicine 59, no. 6 (December 2020): 779–86. http://dx.doi.org/10.1016/j.amepre.2020.10.007.

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4

Ssemugabo, Charles, Elizeus Rutebemberwa, Dan Kajungu, George W. Pariyo, Adnan A. Hyder, and Dustin G. Gibson. "Acceptability and Use of Interactive Voice Response Mobile Phone Surveys for Noncommunicable Disease Behavioral Risk Factor Surveillance in Rural Uganda: Qualitative Study." JMIR Formative Research 3, no. 4 (December 3, 2019): e15000. http://dx.doi.org/10.2196/15000.

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Background There is need for more timely data to inform interventions that address the growing noncommunicable disease (NCD) epidemic. With a global increase in mobile phone ownership, mobile phone surveys can bridge this gap. Objective This study aimed to explore the acceptability and use of interactive voice response (IVR) surveys for surveillance of NCD behavioral risk factors in rural Uganda. Methods This qualitative study employed user group testing (UGT) with community members. The study was conducted at the Iganga-Mayuge Health and Demographic Surveillance Site (IM-HDSS) in Eastern Uganda. We conducted four UGTs which consisted of different categories of HDSS members: females living in urban areas, males living in urban areas, females living in rural areas, and males living in rural areas. Participants were individually sent an IVR survey, then were brought in for a group discussion using a semistructured guide. Data were analyzed thematically using directed content analysis. Results Participants perceived that IVR surveys may be useful in promoting confidentiality, saving costs, and raising awareness on NCD behavioral risk factors. Due to the clarity and delivery of questions in the local language, the IVR survey was perceived as easy to use. Community members suggested scheduling surveys on specific days and sending reminders as ways to improve their use for surveillance. Social issues such as domestic violence and perceptions toward unknown calls, technological factors including poor network connections and inability to use phones, and personal issues such as lack of access to phones and use of multiple networks were identified as barriers to the acceptability and use of mobile phone surveys. However, incentives were reported to motivate people to complete the survey. Conclusions Community members reflected on contextual and sociological implications of using mobile phones for surveillance of NCD behavioral risk factors. The opportunities and challenges that affect acceptability and use of IVR surveys should be considered in designing and implementing surveillance programs for NCD risk factors.
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5

Zubkova, T. S., E. S. Zamiatnina, and D. A. Khalturina. "The system of indicators of behavioral risk factors in Russia at the national and regional levels." Public Health 1, no. 4 (January 3, 2022): 56–67. http://dx.doi.org/10.21045/2782-1676-2021-1-4-56-67.

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Анотація:
Introduction. Behavioral risk factors are associated with 47% of all-cause mortality in Russia.The goal of this study was to assess and to select the available data sources on the burden of behavioral risk factors in Russia and its regions.Methods included collection and systematization of medical, demographic and survey which reflected the burden of behavioral risk factors in Russia.Results. The spectrum of sources of the data on behavioral risk factors among adults in Russia has significantly expanded in recent years. Rosstat agency provided regional survey data on prevalence of consumption of tobacco and other nicotine-containing products, physical activity, overweight and obesity. The survey results may underestimate alcohol and tobacco consumption due to the sensitivity of these questions. Therefore, the use of morbidity and mortality data is needed well. Detailed regional data on food product consumption in Russia are available, but the list of food groups needs to be updated to reflect current scientific knowledge. At the same time, there is no monitoring of the consumption of table salt and iodine by the Russian citizens. The data from Rosstat surveys on physical activity is available by the regions, and it provides more reliable results in comparison with the reports of sports organizations. Monitoring of behavioral risk factors among children and adolescents in Russia has yet to be organized.Conclusions. A number of data sources have been identified that can be used to assess the burden of behavioral risk factors in Russia and the regions, and ways to improve such monitoring are proposed.
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6

Bradstock, M. K., J. S. Marks, M. R. Forman, E. M. Gentry, G. C. Hogelin, N. J. Binkin, and F. L. Trowbridge. "Drinking-driving and health lifestyle in the United States: Behavioral Risk Factors Surveys." Journal of Studies on Alcohol 48, no. 2 (March 1987): 147–52. http://dx.doi.org/10.15288/jsa.1987.48.147.

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7

Родіка, Ігнат. "CARDIOVASCULAR RISK FACTORS IN GROUP AGED 18-29 YEARS." Молодий вчений, no. 4 (92) (April 30, 2021): 133–38. http://dx.doi.org/10.32839/2304-5809/2021-4-92-29.

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Cardiovascular risk factors are the triggers of cardiovascular diseases. Early identification of cardiovascular risk factors in young people is of major importance, as most of these factors are reversible and therefore, their effects can be reduced by preventive interventions. The study includes the analysis of WHO official documents on chronic non-communicable diseases, behavioral and metabolic risk factors of these pathologies, as well as WHO STEPS reports on the results of cross-sectional studies for behavioral risk factors of non-communicable diseases. Prevalence of cardiovascular risk factors in young population aged 18-29 years varies in the analyzed surveys. Records show the presence of cardiovascular risk factors in the respective age group. Identification of cardiovascular risk factors in young people and early preventive interventions can reduce cardiovascular diseases in old age.
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8

Mukora-Mutseyekwa, Fadzai, Hajo Zeeb, Lydia Nengomasha, and Nicholas Kofi Adjei. "Trends in Prevalence and Related Risk Factors of Overweight and Obesity among Women of Reproductive Age in Zimbabwe, 2005–2015." International Journal of Environmental Research and Public Health 16, no. 15 (August 2, 2019): 2758. http://dx.doi.org/10.3390/ijerph16152758.

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Background: The prevalence of non-communicable diseases is rising in low and middle-income countries (LMICs) such as Zimbabwe, yet, the risk factors associated with overweight and obesity among women in the country have not been explored. This study investigated the trends in prevalence and demographic, socioeconomic and behavioral risk factors of overweight and obesity among Zimbabwean women of reproductive age (15–49 years) from 2005–2015. Methods: Data from the 2005/2006, 2010/2011 and 2015 Zimbabwe Demographic and Health Survey (ZDHS) were analyzed. Multiple logistic regression models were used to examine the associations between demographic, socioeconomic, behavioral risk factors and obesity and overweight (body mass index (BMI) ≥ 25.0 kg/m2). We further estimated the prevalence of overweight and obesity over the period covered by the surveys. Results: The prevalence of overweight and obesity increased substantially from 25.0% in 2005 to 36.6% in 2015. Some of the risk factors for overweight and obesity were older age (40+) (adjusted odds ratio (aOR) = 4.73; 95% confidence interval (CI) = 3.73–6.01) in 2015, being married, high economic status, being employed, residence in urban areas and alcohol use. Educational attainment and smoking status were not associated with overweight and obesity across all surveys. Conclusions: We provide the first detailed analysis of trends and risk factors for overweight and obesity between 2005 and 2015 among women in Zimbabwe. The findings indicate that women of reproductive age are at high, and increasing, risk of excess weight. Thus, prevention and control measures are needed to address the high prevalence of overweight and obesity in Zimbabwe.
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9

Jeong, Nam Jeong, Eunil Park, and Angel P. del Pobil. "Effects of Behavioral Risk Factors and Social-Environmental Factors on Non-Communicable Diseases in South Korea: A National Survey Approach." International Journal of Environmental Research and Public Health 18, no. 2 (January 12, 2021): 612. http://dx.doi.org/10.3390/ijerph18020612.

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Non-communicable diseases (NCDs) are one of the major health threats in the world. Thus, identifying the factors that influence NCDs is crucial to monitor and manage diseases. This study investigates the effects of social-environmental and behavioral risk factors on NCDs as well as the effects of social-environmental factors on behavioral risk factors using an integrated research model. This study used a dataset from the 2017 Korea National Health and Nutrition Examination Survey. After filtering incomplete responses, 5462 valid responses remained. Items including one’s social-environmental factors (household income, education level, and region), behavioral factors (alcohol use, tobacco use, and physical activity), and NCDs histories were used for analyses. To develop a comprehensive index of each factor that allows comparison between different concepts, the researchers assigned scores to indicators of the factors and calculated a ratio of the scores. A series of path analyses were conducted to determine the extent of relationships among NCDs and risk factors. The results showed that social-environmental factors have notable effects on stroke, myocardial infarction, angina, diabetes, and gastric, liver, colon, lung, and thyroid cancers. The results indicate that the effects of social-environmental and behavioral risk factors on NCDs vary across the different types of diseases. The effects of social-environmental factors and behavioral risk factors significantly affected NCDs. However, the effect of social-environmental factors on behavioral risk factors was not supported. Furthermore, social-environmental factors and behavioral risk factors affect NCDs in a similar way. However, the effects of behavioral risk factors were smaller than those of social-environmental factors. The current research suggests taking a comprehensive view of risk factors to further understand the antecedents of NCDs in South Korea.
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10

Low, Man, Chan, and Alabdulkarim. "Construction Worker Risk-Taking Behavior Model with Individual and Organizational Factors." International Journal of Environmental Research and Public Health 16, no. 8 (April 13, 2019): 1335. http://dx.doi.org/10.3390/ijerph16081335.

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Behavioral-based safety is an important application of behavioral science that can be used to address safety problems in the construction sector. An understanding of construction worker risk-taking behavior is deemed to be a crucial basis on which concerned authorities and construction companies can develop effective safety interventions to reduce construction accidents. However, no studies have been conducted to examine the effects of safety climate, work condition, attitude toward risk, cognitive bias, and risk perception on construction worker risk-taking behavior through a quantitative approach. Accordingly, this study aims to propose a research model that explains construction worker risk-taking behavior. A total of 188 valid datasets were obtained through a series of questionnaire surveys conducted in representative construction projects in Hong Kong. Confirmatory factor analysis with structural equation modeling was adopted to validate the hypothesized research model. Results show that attitudes toward risk and cognitive bias have a positive influence, whereas risk perception and work conditions have a negative influence on construction worker risk-taking behavior. In addition, safety climate was negatively correlated with construction worker risk-taking behavior. Practical recommendations for reducing construction worker risk-taking behavior are also discussed in this paper.
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11

Rodgers, Gregory B. "Factors Contributing to Child Drownings and Near-Drownings in Residential Swimming Pools." Human Factors: The Journal of the Human Factors and Ergonomics Society 31, no. 2 (April 1989): 123–32. http://dx.doi.org/10.1177/001872088903100201.

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This article examines and quantifies factors affecting the risk of child drowning and near-drowning accidents in residential swimming pools. Two surveys were conducted. One survey provided information on children and pools involved in accidents; the other provided information on children exposed to the risk of drowning and their swimming environment. A logit regression model was used to analyze the survey results. The accident determinants were estimated, and risk factors calculated. The results are analyzed within the context of the child drowning and child development literature. Possible intervention strategies are discussed.
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12

Lowenstein, Steven R., Jane Koziol-McLain, Michael Thompson, Edward Bernstein, Karen Greenberg, Lowell W. Gerson, Paul Buczynsky, and Michelle Blanda. "Behavioral Risk Factors in Emergency Department Patients: A Multisite Survey." Academic Emergency Medicine 5, no. 8 (August 1998): 781–87. http://dx.doi.org/10.1111/j.1553-2712.1998.tb02504.x.

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13

Korotkova, Ekaterina O., and Natalia N. Kamynina. "Monitoring non-communicable diseases risk factors in national adult health surveys – a review of international experience." City Healthcare 3, no. 1 (April 10, 2022): 94–105. http://dx.doi.org/10.47619/2713-2617.zm.2022.v3i1;94-105.

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Анотація:
Introduction. Monitoring is an important tool for managing the epidemic of noncommunicable diseases. The insufficiency of the measures taken to create and strengthen national systems of epidemiological surveillance for noncommunicable diseases is recognized. In this regard, the search and development of rapid and cost-effective approaches to monitoring risk factors for noncommunicable diseases continues. Objective. To explore an approach to developing a national monitoring system for risk factors for noncommunicable diseases based on population health surveys in some countries of the world. Materials and methods. A content analysis of the documents of the World Health Organization, open data, scientific publications, regulations and reports of countries (India, USA, European countries, including Belgium and Finland) on the study of public health and risk factors for non-communicable diseases was carried out. Results. The possibility of incorporating elements of a monitoring study into population health surveillance systems that already exist at the national level is an important advantage for developing approaches to monitoring risk factors for noncommunicable diseases. In this regard, the World Health Organization's STEPS stepwise approach to risk factor surveillance has evolved. National population health surveys that include risk factor monitoring can be divided into health surveys and health surveys. There are also separate national studies (surveys and surveys) that focus on several behavioral risks or individual risk factors. Some monitoring systems that measure progress towards global noncommunicable disease targets also additionally cover late issues and emerging risk factors. Discussion. The studied international experience of national systems of research on public health and epidemiological surveillance of noncommunicable diseases indicates trends towards standardization and unification of tools for monitoring risk factors for noncommunicable diseases.
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14

MILLER–JOHNSON, SHARI, DONNA–MARIE WINN, JOHN COIE, ANNE MAUMARY–GREMAUD, CLAIRE HYMAN, ROBERT TERRY, and JOHN LOCHMAN. "Motherhood during the teen years: A developmental perspective on risk factors for childbearing." Development and Psychopathology 11, no. 1 (March 1999): 85–100. http://dx.doi.org/10.1017/s0954579499001960.

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The role of peer relations in childhood and behavioral and family characteristics in early adolescence as risk factors for adolescent childbearing was investigated. Sociometric surveys across third, fourth, and fifth grade and parent and child measures of behavioral and family functioning at sixth and eighth grade were collected in a lower income, urban sample of 308 African American females. Results replicated earlier findings on the role of childhood aggression as a predictor of teen motherhood. In addition, girls who displayed stable patterns of childhood aggression were at significantly higher risk not only to have children as teenagers but to have more children and to have children at younger ages. Results also indicated that females who were depressed in midadolescence were at greater risk to become parents between age 15 and 19 years. These findings demonstrate the need to take a differentiated approach to understanding teen childbearing and varying developmental pathways in the prediction of teen motherhood.
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Raghunath, K. Madhu Kishore, S. Lakshmi Tulasi Devi, and Chandra Sekhar Patro. "An Empirical Take on Qualitative and Quantitative Risk Factors." International Journal of Risk and Contingency Management 6, no. 4 (October 2017): 1–15. http://dx.doi.org/10.4018/ijrcm.2017100101.

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Companies face a great challenge of balancing both risk and return on par. In today's volatile economic environment, success depends on strategically managing risks. All organisations accept risk in every decision that they take and risk management is therefore it is strategic when done proactively. Some risks are financial or quantitative and others are associated with behavioral factors or qualitative. Effective strategic risk management must address both quantitative and qualitative factors. Some factors are difficult to quantify or even identify. This study develops a framework from a literature review to identify most relevant quantitative and qualitative risks affecting public as well as private organisations. Risk planning, analysis and mitigation techniques are then proposed along with guidelines for matching each to a specific contest. Surveys are used to collect evidence from educational institutions, hospitals, banks, and manufacturing organizations to build the model. Non-paramateric statistical methods are used to validate the most significant combination of risk factors.
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16

Bowlin, Steven J., Barbara D. Morrill, Anne N. Nafziger, Paul L. Jenkins, Carol Lewis, and Thomas A. Pearson. "Validity of cardiovascular disease risk factors assessed by telephone survey: The behavioral risk factor survey." Journal of Clinical Epidemiology 46, no. 6 (June 1993): 561–71. http://dx.doi.org/10.1016/0895-4356(93)90129-o.

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17

Oakley-Girvan, Ingrid, Juan M. Lavista, Yasamin Miller, Sharon Davis, Carlos Acle, Jeffrey Hancock, and Lorene M. Nelson. "Evaluation of a Mobile Device Survey System for Behavioral Risk Factors (SHAPE): App Development and Usability Study." JMIR Formative Research 3, no. 1 (January 11, 2019): e10246. http://dx.doi.org/10.2196/10246.

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Background Risk factors, including limited exercise, poor sleep, smoking, and alcohol and drug use, if mitigated early, can improve long-term health. Risk prevalence has traditionally been measured using methods that now have diminished participation rates. With >75% of American citizens owning smartphones, new data collection methods using mobile apps can be evaluated. Objective The objective of our study was to describe the development, implementation, and evaluation of a mobile device–based survey system for behavioral risk assessment. Specifically, we evaluated its feasibility, usability, acceptability, and validity. Methods We enrolled 536 students from 3 Vermont State Colleges. Iterative mobile app development incorporated focus groups, extensive testing, and the following 4 app versions: iOS standard, iOS gamified, Android standard, and Android gamified. We aimed to capture survey data, paradata, and ambient data such as geolocation. Using 3 separate surveys, we asked a total of 27 questions that included demographic characteristics, behavioral health, and questions regarding the app’s usability and survey process. Results Planned enrollment was exceeded in just a few days. There were 1392 “hits” to the landing page where the app could be downloaded. Excluding known project testers and others not part of the study population, 670 participants downloadeded the SHAPE app. Of those, 94.9% of participants (636/670) agreed to participate by providing in-app consent. Of the 636 who provided consent, 84.3% (536/636) were deemed eligible for the study. The majority of eligible respondents completed the initial survey (459/536, 85.6%), whereas 29.9% (160/536) completed the second survey and 28.5% (153/536) completed the third survey. The SHAPE survey obtained 414 participants on the behavioral risk items in survey 1, which is nearly double the 209 participants who completed the traditional Vermont College Health Survey in 2014. SHAPE survey responses were consistent with the traditionally collected Vermont College Health Survey data. Conclusions This study provides data highlighting the potential for mobile apps to improve population-based health, including an assessment of recruitment methods, burden and response rapidity, and future adaptations. Although gamification and monetary rewards were relatively unimportant to this study population, item response theory may be technologically feasible to reduce individual survey burden. Additional data collected by smartphones, such as geolocation, could be important in additional analysis, such as neighborhood characteristics and their impact on behavioral risk factors. Mobile tools that offer rapid adaptation for specific populations may improve research data collection for primary prevention and could be used to improve engagement and health outcomes.
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Barg, Anastasiya O. "Peculiarities of behavioral risk factors for health in workers of industrial enterprises." Hygiene and sanitation 95, no. 1 (October 28, 2019): 48–53. http://dx.doi.org/10.18821/0016-9900-2016-95-1-48-53.

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There is actualized the problem of the needfor the awareness of the peculiarities of the subjective perception of health risks in the particular social group as the first step towards the construction of an effective system for the provision of information about risks. There was noted the presence of the gap between expert and everyday knowledge about risk. On the base of materials of two representative sociological surveys of working population of the Perm region with the use of the author tools of the research, there was performed in-depth analysis of the perception of risks and were shown the features of subjective assessment of health risks related to nutrition, smoking and alcohol consumption in workers of industrial enterprises. The empirical analysis of perception of risks related to peculiarities of individual behavior of employees was pointed to be performed extremely rare. The perception of the industrial workers of the health risks related to behavioral factors was revealed to have a multilevel structure. Under the high level of awareness about behavioral health risk factors, self-protection modes of behavior were established to fail to occur widely among employees. Workers in industrial enterprises were determined to be characterized by the overestimation of the impact of environmental and occupational factors on health along with the underestimating of the significance of individual behavior. There was proved the low efficiency of the linear model for the provision of information about risks. The proposed principles of the construction of risk communications in the field of health, ensuring the successful management of the risk perception by workers in the form of transition from provision of information to communication, that means the reliance on dialogue, the abandonment of unilateral translation of knowledge from the leaders (experts) in favor of regular exchange of information with the aim of shaping of consensus on what risk factors are significant, how they influence on the human health and what should be done to minimize them.
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Singh, Ram B., Aminat Magomedova, Agnieszka Wilkzynska, Jan Fedacko, M. Arif Niaz, and Ghizal Fatima. "Development and validation of a questionnaire for assessment of happiness with reference to behavioral determinants of health. The Indian happiness rating scale III." MOJ Public Health 12, no. 3 (November 9, 2023): 137–43. http://dx.doi.org/10.15406/mojph.2023.12.00423.

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Background: Recent surveys indicate that the prevalence of happiness is more common in developed countries compared to developing countries, which is considered due to better availability of affordable medical care, more satisfaction in life and economic development. It is possible that chronic anxiety, aggression and depression may be associated with lack of happiness which may predispose poor social, and physical health, leading to unhappiness. This study aims to develop and validate questionnaire for assessment of happiness with greater accuracy, in the behavioral risk factors, so that the same can be used as a tool in the population studies. Subjects and methods: This cross-sectional survey was conducted at Halberg Hospital and Research Institute, Moradabad, India. All subjects; 980 urban (495 men and 485 women), 900 rural (510 men and 390 women) above 25 years of age were randomly selected and recruited from urban and rural populations. Clinical data as well as risk factors were recorded with the help of case record form using the validated questionnaires. Assessment of happiness was made by a new more detailed modified questionnaire involving happiness of mind by including questions related to social, emotional and psychological health behaviours with reference to behavioural risk factors. Results: The prevalence of happiness was 62.2% (n=612) among urban and 63.2% (n=569) among rural subjects. The prevalence of very happy and satisfied (20.2 vs 22.2 %), moderately happy and satisfied (23.7 vs 22.9 %) and the modestly happy and satisfied (18.4 vs 17.9 %) were not significantly different among urban and rural subjects. It seems that the accuracy of the Indian Happiness Rating Scale III is good enough to assess happiness in other populations. The prevalence of behavioral risk factors; alcoholism, alcohol intake in moderation, sedentary behavior, western type diet intake, sleep disorders, emotional stress disorders, breakfast missing, late night dinner, night shift work, were significantly greater among urban subjects compared with rural subjects. However, among subjects with happiness, the frequency of moderate alcohol intake was significantly greater compared to subjects with no happiness among urbans. There were no gender differences in happiness. Conclusions: It is possible that this modified questionnaire with 16 attributes, may accurately assess the status of happiness and successfully used for assessment of happiness rates in urban and rural populations. The questionnaire allowed us to identify approximately two third subjects with happiness, among both urban and rural populations. Similar prevalence of happiness among urban and rural subjects, despite more behavioral risk factors among urbans, indicate that economic development may not be necessary for happiness. Further studies are necessary to find out the role of happiness in relations to health and behavioral risk factors.
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Pengpid, Supa, and Karl Peltzer. "Prevalence and Correlates of Behavioral Non-Communicable Diseases Risk Factors among Adolescents in the Seychelles: Results of a National School Survey in 2015." International Journal of Environmental Research and Public Health 16, no. 15 (July 25, 2019): 2651. http://dx.doi.org/10.3390/ijerph16152651.

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Анотація:
The aim of this study was to investigate the prevalence and correlates of behavioral non-communicable disease (NCD) risk factors among a national sample of school-going adolescents in the Seychelles. Cross-sectional data were analyzed from 2540 school adolescents (median age 14 years, interquartile range = 2), in the Seychelles “Global School-Based Student Health Survey (GSHS)” in 2015. Behavioral NCD risk factors (current tobacco use, current alcohol use, inadequate fruit and vegetable consumption, soft drink consumption, overweight or obesity, physical inactivity, and leisure-time sedentary behavior) were assessed by self-report. Among the seven individual behavioral risk factors, the highest prevalence was physical inactivity (82.7%), followed by daily soft drink consumption (68.3%), inadequate fruit and vegetable consumption (60.9%), leisure-time sedentary behavior (51.0%), current alcohol use (47.6%), overweight or obesity (28.2%), and current tobacco use (23.4%). The total mean number of behavioral NCD risk factors was 3.6 (Standard Deviation = 1.3), and the proportion of co-occurrence of having three or more behavioral NCD risk factors was 80.7%. In adjusted linear regression analysis, male sex, older age, and psychological distress were positively, and school attendance and peer support were negatively associated with the total number of behavioral NCD risk factors. A high prevalence of multiple behavioral NCD risk factors were found and several associated factors were identified, such as male sex, older age, psychological distress, school truancy, and lack of peer support, which may help in aiding intervention programs in this population.
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Oladeji, Olubusola, Chi Zhang, Tiam Moradi, Dharmesh Tarapore, Andrew C. Stokes, Vukosi Marivate, Moinina D. Sengeh, and Elaine O. Nsoesie. "Monitoring Information-Seeking Patterns and Obesity Prevalence in Africa With Internet Search Data: Observational Study." JMIR Public Health and Surveillance 7, no. 4 (April 29, 2021): e24348. http://dx.doi.org/10.2196/24348.

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Background The prevalence of chronic conditions such as obesity, hypertension, and diabetes is increasing in African countries. Many chronic diseases have been linked to risk factors such as poor diet and physical inactivity. Data for these behavioral risk factors are usually obtained from surveys, which can be delayed by years. Behavioral data from digital sources, including social media and search engines, could be used for timely monitoring of behavioral risk factors. Objective The objective of our study was to propose the use of digital data from internet sources for monitoring changes in behavioral risk factors in Africa. Methods We obtained the adjusted volume of search queries submitted to Google for 108 terms related to diet, exercise, and disease from 2010 to 2016. We also obtained the obesity and overweight prevalence for 52 African countries from the World Health Organization (WHO) for the same period. Machine learning algorithms (ie, random forest, support vector machine, Bayes generalized linear model, gradient boosting, and an ensemble of the individual methods) were used to identify search terms and patterns that correlate with changes in obesity and overweight prevalence across Africa. Out-of-sample predictions were used to assess and validate the model performance. Results The study included 52 African countries. In 2016, the WHO reported an overweight prevalence ranging from 20.9% (95% credible interval [CI] 17.1%-25.0%) to 66.8% (95% CI 62.4%-71.0%) and an obesity prevalence ranging from 4.5% (95% CI 2.9%-6.5%) to 32.5% (95% CI 27.2%-38.1%) in Africa. The highest obesity and overweight prevalence were noted in the northern and southern regions. Google searches for diet-, exercise-, and obesity-related terms explained 97.3% (root-mean-square error [RMSE] 1.15) of the variation in obesity prevalence across all 52 countries. Similarly, the search data explained 96.6% (RMSE 2.26) of the variation in the overweight prevalence. The search terms yoga, exercise, and gym were most correlated with changes in obesity and overweight prevalence in countries with the highest prevalence. Conclusions Information-seeking patterns for diet- and exercise-related terms could indicate changes in attitudes toward and engagement in risk factors or healthy behaviors. These trends could capture population changes in risk factor prevalence, inform digital and physical interventions, and supplement official data from surveys.
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Charmaraman, Linda, Amanda M. Richer, and Megan A. Moreno. "Social and Behavioral Health Factors Associated with Violent and Mature Gaming in Early Adolescence." International Journal of Environmental Research and Public Health 17, no. 14 (July 11, 2020): 4996. http://dx.doi.org/10.3390/ijerph17144996.

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We examined how risk level of video games, measured by maturity and violence level, was associated with behavioral health, social impacts, and online social interactions. School-based surveys in two different cohorts assessed self-reported gaming behaviors, health, and social media use. For Study 1, our 700 participants were 52% female and 48% White (mean age 12.7). Middle school students who played the high-risk games reported higher depressive symptoms and problematic internet behaviors, less sleep, more time spent playing games, and higher frequency of checking social media than non-gaming students. Those who played high-risk games were less likely to play alone and to play with strangers than those who played minimal-risk games. For Study 2, our 772 participants were 50% female and 57% White (mean age 12.6). Similar to Study 1, we found that those who played the high-risk games spent significantly more time playing games, were more interactive with other players, and had poorer sleep outcomes than non-high-risk gamers. Additionally, playing high-risk games had significantly different social impacts of gaming compared to less-risky gaming, including spending more money on games, spending less time on homework and with family or skipping meals due to gaming. Mature and violent content of video games and amount of online social interaction associated with gaming play a strong role in behavioral health and social impacts within families. These results can inform guidelines to intervene when problematic behaviors emerge.
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Dixita, Lonim, Hyder M. Khurshid, and Ehsanullah Tarin. "Risk Factors Associated with Non-Communicable Diseases: Trends and Policy Implications in Nepal." Annals of King Edward Medical University 28, no. 4 (February 25, 2023): 449–56. http://dx.doi.org/10.21649/akemu.v28i4.5312.

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Objective: To determine the trends in the prevalence of non-communicable diseases associated risk factors and implications for policies and strategies. Background: Non-Communicable Diseases (NCDs) contribute increasingly to disease burden in Nepal. The main drivers to this situation are the NCD related risk factors; and to determine their prevalence the Nepal Ministry of Health and Population conducted WHO Stepwise Approach to NCD Risk Factor Surveillance (STEPS) surveys in 2007, 2012 and 2019. This paper, by using results of STEPS surveys, explores the trends of NCD related risk factors and their implications for policies and strategies. Methods: This paper relies on the desk review of literature and secondary data, collected from the unpublished grey literature, mainly reports of the STEPS surveys. In addition, to corroborate findings, the evidence and experience from other countries available as published literature was brought. The data were analysed manually. Findings: Overall, during the period from first survey in 2007 to the last survey in 2019, there has been an increasing prevalence of NCDs associated lifestyle and behavioural, physical, and biochemical risk factors. Taking cognisance of these, several policies, and strategic documents, some of which generic, while others targeting the specific risk factors were produced. However, indicators and techniques used, across three STEPS surveys, were not consistent, thus limiting the comparison and analysis of data. Conclusions: The study concludes that different STEPS surveys did not use standard set of indicators and techniques. Yet, an increased prevalence of NCDs associated risk factors was noted. Several policies and strategic documents, generic as well as specific, were produced. But there is a need to define methodology, as to how results feed into the framing of policies and strategic, and their impact is monitored.
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Han, Claire J., Fode Tounkara, Matthew Kalady, Anne M. Noonan, Natasha R. Burse, Electra D. Paskett, and Diane Von Ah. "Risk Factors of Health-Related Quality of Life among Gastrointestinal Cancer Survivors in the U.S.: With a Focus on Social and Behavioral Determinants of Health (SBDH)." International Journal of Environmental Research and Public Health 20, no. 17 (August 29, 2023): 6676. http://dx.doi.org/10.3390/ijerph20176676.

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Background: Increasing numbers of long-term gastrointestinal (GI) cancer survivors highlight the importance of understanding the factors contributing to their health-related quality of life (HRQoL). We investigated the risk factors of HRQoL, including demographics, clinical characteristics, and social and behavioral determinants of health (SBDH). Methods: Data on adult GI cancer survivors (n = 3201) from the Behavioral Risk Factors Surveillance System (BRFSS) surveys from 2014–2021 (except for 2015) were analyzed. Unadjusted/adjusted logistic regression was used. Results: The majority were women (54%) and white (78%), with a median age of 67. Survivors who were 65 years or older, diagnosed with colorectal cancer, or who had fewer comorbidities were more likely to report significantly better HRQoL. Significant social factors of poor HRQoL included unmarried, racial and ethnic minorities, poor socioeconomic status, and poor healthcare access. Significant behavioral factors of poor HRQoL were lack of physical activity, heavy alcohol consumption, and current smoking, with lack of physical activity being the most significant factor. Conclusions: The SBDH has a critical role in HRQoL. Future studies are warranted to develop a tailored survivorship intervention, such as physical rehabilitation, and to explore machine learning/artificial intelligence-based predictive models to identify cancer survivors at a high risk of developing poor HRQoL.
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Bell, Teresa M., Christopher A. Harle, Dennis P. Watson, and Aaron E. Carroll. "2170 Risk factors for prescription opioid misuse after traumatic injury in adolescents." Journal of Clinical and Translational Science 2, S1 (June 2018): 87. http://dx.doi.org/10.1017/cts.2018.302.

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OBJECTIVES/SPECIFIC AIMS: The objective of this study is to determine predictors and motives for sustained opioid use, prescription misuse, and nonmedical opioid use in the adolescent trauma population. METHODS/STUDY POPULATION: This is a prospective cohort study that will follow patients for 1 year and administer surveys to patients on prescription opioid usage; substance use; utilization of pain management and mental health services; mental and physical health conditions; and behavioral and social risk factors. Patient eligibility criteria include: (1) patient is 12–18 years of age; (2) admitted for trauma; (3) english speaking; (4) resides within Indianapolis, IN metropolitan area; and (5) consent can be obtained from a parent or guardian. Patients with severe brain injuries or other injuries that prevent survey participation will be excluded. The patient sample will comprise of 50 traumatically injured adolescents admitted for trauma who will be followed for 12 months after discharge. RESULTS/ANTICIPATED RESULTS: We expect that the results of this study will identify multiple risk factors for sustained opioid use that can be used to create targeted interventions to reduce opioid misuse in the adolescent trauma population. Clinical predictors such as opioid type, dosage, and duration that can be modified to reduce the risk of long-term opioid use will be identified. We expect to elucidate clinical, behavioral, and social risk factors that increase the likelihood adolescents will misuse their medication and initiate nonmedical opioid use. DISCUSSION/SIGNIFICANCE OF IMPACT: Trauma is a surgical specialty that often has limited collaboration with behavioral health providers. Collaborative care models for trauma patients to adequately address the psychological impact of a traumatic injury have become more common in recent years. These models have primarily been concerned with the prevention of post-traumatic stress disorder. We would like to apply the findings of our research to better understand what motivates adolescents to misuse pain medications as well as how clinical, individual, behavioral, and social factors affect medication usage. This may help identify patients at greater risk of developing a SUD by asking questions not commonly addressed in the hospital setting. For example, similar to how trauma centers have mandated brief interventions on alcohol use be performed for center verification, screening patients’ on their social environment may identify patients at greater risk for SUD than assumed. The long-term goal would be to prevent opioid use disorders in injured adolescents by providing better post-acute care support, possibly by developing and implementing a collaborative care model that addresses opioid use. Additionally, we believe our findings could be applied in the acute care setting as well to help inform opioid prescribing and pain management methods in the acute phase of an injury. Genetic testing to determine which opioid to prescribe pediatric surgical patients is starting to be done at some pediatric hospitals. Certain genes determine which specific opioid is most effective in controlling a patient’s pain and, further, using the optimal opioid medication can also reduce overdose. Our findings may help refine prescribing patterns that could increase or decrease the likelihood of developing SUD in patients with certain genetic, clinical, behavioral, and social characteristics.
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Panjaitan, Felisia, Servatia Mayang Setowati, and Yoshia Christian Mahulete. "PEER TO PEER LENDING : GENERATION Z ATTRACTION FACTORS AND FUTURE IMPLICATIONS." TRANSEKONOMIKA: AKUNTANSI, BISNIS DAN KEUANGAN 4, no. 4 (July 19, 2024): 422–37. http://dx.doi.org/10.55047/transekonomika.v4i4.678.

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This study is about the factors of behavioral intention to borrow from the perspective of Generation Z toward peer-to-peer lending. This study applied primary data by collecting surveys distributed to Gen Z on Java Island. The sample used was 44 male respondents and 110 female respondents. Factors that influence borrowing intention were tested with SEM PLS 4.0. The research shows that the variables of utilitarian value, risk perception, and financial literacy are significant to the behavioral intention of Peer To Peer Lending. In addition, the findings show that the variables of convenience and safety do not determine behavioral intention in Peer To Peer Lending. This research also explores how financial technology, such as peer-to-peer lending, can facilitate Generation Z's access to finance. The implications of this research highlight the importance of financial knowledge and planning for Gen Z for its future. These findings provide insights for fintech companies to design products and services that suit Generation Z's specific preferences and needs. The target market for peer-to-peer lending companies needs to be adjusted in their marketing strategies.
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Andersson, Claes, and Anders Håkansson. "Associations between Risk Factors in Late Adolescence and Problem Behaviors in Young Adulthood: A Six-Year Follow-Up of Substance Related and Behavioral Addictions in Swedish High School Seniors." International Journal of Environmental Research and Public Health 18, no. 23 (December 3, 2021): 12766. http://dx.doi.org/10.3390/ijerph182312766.

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Introduction: Risk factors of traditional substance use related problems in young adults are more well-known than for behavioral addictions such as gambling and gaming problems. The present study aims to provide knowledge about the longitudinal patters of substance use related and behavioral addictions in early adulthood. Methods: Using self-report surveys, substance-related, psychiatric, and demographic predictors were assessed in Swedish high school seniors and re-assessed six years later along with gambling and gaming problems, n = 800. Associations (Risk Ratios) between risk factors in late adolescence and problem behaviors in young adulthood were analyzed. Results: Tobacco use, illicit drug use, and hazardous drinking in young adulthood were associated with tobacco use, illicit drug use, alcohol use, conduct problems, and impaired impulse control in late adolescence. Gambling problems in young adulthood were only associated with heredity of alcohol problems, while gaming was not associated to any problem behavior in late adolescence. Conclusion: It is concluded that predictors for traditional substance-related addictions differ from predictors for behavioral addictions, and that this difference is more pronounced for gaming problems than for gambling problems.
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Sabogal, Fabio, and Joseph A. Catania. "HIV Risk Factors, Condom Use, and HIV Antibody Testing among Heterosexual Hispanics: The National AIDS Behavioral Surveys (NABS)." Hispanic Journal of Behavioral Sciences 18, no. 3 (August 1996): 367–91. http://dx.doi.org/10.1177/07399863960183007.

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Nordstrom, D. L. "Rural population survey of behavioral and demographic risk factors for loaded firearms." Injury Prevention 7, no. 2 (June 1, 2001): 112–16. http://dx.doi.org/10.1136/ip.7.2.112.

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Dieci, Maria, Juan J. Llibre-Rodriguez, Daisy Acosta, and William H. Dow. "Cuba’s cardiovascular risk factors: International comparison of levels and education gradients." PLOS ONE 16, no. 3 (March 4, 2021): e0247831. http://dx.doi.org/10.1371/journal.pone.0247831.

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Background Cuba’s life expectancy at 79 is third highest in Latin America. Many attribute this to social investments in health and education, but comparative research is sparse, thus we compare Cuba with neighboring Dominican Republic, Costa Rica due to its strong social protections, and the U.S. Given high cardiovascular mortality, we focus on cardiovascular risk factor levels. To assess the role of health care, we distinguish medically amenable biomarkers from behavioral risk factors. To assess the role of Cuba’s focus on equity, we compare education gradients in risk factors. Methods We analyze Cuban data from the 10/66 Dementia Research Group baseline survey of urban adults ages 65 plus. Comparison samples are drawn from the Dominican Republic 10/66 survey, the Costa Rican CRELES, and U.S. NHANES. We analyze cross-country levels and education gradients of medically amenable (hypertension, diabetes, hypercholesterolemia, access to health care) and behavioral (smoking, obesity) risk factors,–using sex-stratified weighted means comparisons and age-adjusted logistic regression. Results Neither medically amenable nor behavioral risk factors are uniformly better in Cuba than comparison countries. Obesity is lower in Cuba, but male smoking is higher. Hypertension, diabetes, and hypercholesterolemia levels are high in all countries, though Cuba’s are lower than Costa Rica. Hypertension awareness in Cuba is similar to Costa Rica. Cuba has a higher proportion of hypertensives on treatment than Costa Rica, though lower than the U.S. Comparative gradients by education are similarly mixed. For behavioral factors, Cuba shows the strongest gradients (primarily for men) among the countries compared: smoking improves, but obesity worsens with education. Hypertension awareness also improves with education in Cuba, but Cuba shows no significant differences by education in hypertension treatment. Conclusion Smoking is comparatively high in Cuba, but obesity is low, and the resulting biomarkers show comparatively mixed patterns. Cuba’s social protections have not eliminated strong educational gradients in behavioral risk factors, but the healthcare system appears to have eliminated disparities such as in hypertension treatment.
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Viguier, Jerome, François Eisinger, Sebastien Couraud, Lysel Guibaudet, Jean-Yves Blay, Laurent Greillier, Christine Lhomel, Alexis B. Cortot, Jean F. Morere, and Xavier B. Pivot. "Awareness and misconceptions of colorectal cancer risk factors among laypersons and physicians." Journal of Clinical Oncology 35, no. 4_suppl (February 1, 2017): 536. http://dx.doi.org/10.1200/jco.2017.35.4_suppl.536.

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536 Background: The aim of EDIFICE surveys is to improve insight into the behavior of the French population with regard to cancer prevention and participation in screening programs. The colorectal cancer (CRC) screening program is in place and targets the 50-74-yr age group. CRC prevention also relies on increased awareness of known risk factors (behavioral [BRF] or non-behavioral [NBRF]). This analysis focuses on awareness of CRC risk factors among the lay population and physicians. Methods: The 4th nationwide observational survey was conducted by phone interviews using the quota method. A representative sample of 1463 individuals with no history of cancer (age, 40-75 yrs) was interviewed between June 12 and July 10, 2014. A mirror survey on a representative sample of 301 physicians was conducted between July 9 and August 8, 2014. Interviewees were asked to cite the five main RF for CRC. Results: Heredity/family history of CRC was widely cited by physicians but far less by laypersons (LP) (95.3% vs. 26.1%, P < 0.01). Digestive disorders, age, polyps and Crohn’s disease were also cited as NBRF by 38.2%, 22.9%, 15.3% and 12.3% of physicians, respectively. In comparison, these RF were very rarely cited by LP (5.4%, 1.5%, 1.7% and 0.1%, respectively, P < 0.01). Unhealthy-lifestyle RF were cited by 86.4% and 52.7% of physicians and LP, respectively (P < 0.01): poor eating habits, ranked first for both physicians and LP (80.1 vs 46.8%, P < 0.01), including unbalanced or excessively rich diet (52.8% vs. 41.2%, P < 0.01) and excessive quantities of red meat (12.6% vs. 2.2%, P < 0.01). Among unhealthy-lifestyle RF, after poor eating habits, physicians cited first tobacco (24.3%), then alcohol (19.9%), and lack of exercise (14.6%) as other BRF. These were cited by 12.2% (P < 0.01), 16.0% (NS) and 4.7% (P < 0.01) of LP, respectively. Overweight/obesity was cited by 19.6% of physicians but by only 1.8% of LP. Conclusions: Overall, there is a lower level of awareness of CRC risk factors in lay persons than in physicians. Physicians are generally aware that heredity/family history and unhealthy lifestyle are the major RF for CRC, in line with the widely recognized RF. In contrast, lay persons rank BRF highest, and notably those related to poor eating habits.
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Orlov, A. V., O. P. Rotar', M. A. Boyarinova, A. S. Alieva, E. A. Dudorova, E. P. Kolesova, E. V. Moguchaya, et al. "Gender Differences of Behavioral Risk Factors in Saint-Petersburg Inhabitants." Annals of the Russian academy of medical sciences 70, no. 5 (December 3, 2015): 585–91. http://dx.doi.org/10.15690/vramn.v70.i5.1446.

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Background: In developed countries there are significant gender differences in lifetime expectancy that can be explained by behavioral risk factors (RF).Objective: The aim of our study was to estimate gender features of behavioral RF in general population of Saint-Petersburg, Russia.Methods: As a part of all-Russian epidemiology survey ESSE-RF a random sampling of 1600 Saint-Petersburg inhabitants (25-64 y.o.) stratified by age and sex was performed. All participants filled in the questionnaire. Anthropometry (weight, height, body-mass index (BMI), waist circumference (WC)) and fasting blood-tests (lipids, glucose by Abbott Architect 8000 (USA)) were performed.Results: There were examined 573 (36%) men and 1027 (64%) women. No gender differences in obesity were found according to BMI criteria — in 178 (31.2%) women and 352 (35.1%) men. Obesity was more often detected in females according to WC criteria: АТРIII — 44.1 vs 30.3%; IDF 51.2 vs 66.4% (p 0.001 for both). Linear regression analysis was performed and age was associated with BMI — 1.6 kg/m2/decade, WC in women — 5,2 cm/decade and WC in men — 2.8 cm/decade, р 0.001 for all anthropometric parameters. Optimal level of physical activity was equally documented in both genders — 540 (61.2%) women and 286 (58.9%) men. Daily intake of sweets was lower in men — 228 (39.8%) vs 539 (52.5%) in women (p 0.001). 810 (50,6%) of trial subjects were non-smokers, 395 (24,7%) were former smokers, and 395 (24,7%) were smokers at the moment of trial. The higher number of female smokers was observed — 194 (19.1%).Conclusion: A high prevalence of obesity is observed in sample of Saint-Petersburg inhabitants — it is higher among women according to WC criteria regardless of menopause, possibly due to bigger sweets consumption. Males smoke more often and consume less fresh fruits and vegetables which is accompanied by a higher prevalence of hyperglycemia and hypertriglyceridemia.
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Jang, Cho, Jang, Kim, Jung, Lee, and Eun. "Preventive Behavioral Responses to the 2015 Middle East Respiratory Syndrome Coronavirus Outbreak in Korea." International Journal of Environmental Research and Public Health 16, no. 12 (June 18, 2019): 2161. http://dx.doi.org/10.3390/ijerph16122161.

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This study examined the public’s preventive behavioral responses during the 2015 Middle East respiratory syndrome coronavirus (MERS-CoV) outbreak in Korea and the influencing factors. Two cross-sectional telephone surveys were conducted by Gallup Korea using random digit dialing in June 2015 (n = 2004). The main outcome variables were nonpharmaceutical preventive measures (survey (1): Measures for reducing transmission (handwashing, face masks); and survey (2): Measures for avoiding contact with others). Multiple logistic regression was used to identify the factors influencing preventive behaviors. In survey (1), 60.3% of respondents reported more frequent handwashing and 15.5% reported wearing face masks at least once due to the MERS-CoV epidemic. In survey (2), 41–56% of respondents reported practicing avoidance measures. The concerned group was more likely to practice reducing transmission measures (odds ratio (OR) 4.5; 95% confidence interval (CI) 3.3–6.1) and avoidance measures (OR = 9.6; 95% CI, 6.4–14.4). The respondents who had low trust in president or ruling party had a higher practice rate of reducing transmission measures (OR = 1.7; 95% CI, 1.2–2.6) and avoidance measures (OR = 2.1; 95% CI, 1.2–3.5). Cooperative prevention measures need appropriated public concern based on effective risk communication.
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Dai, Hongying, Brian R. Lee, and Jianqiang Hao. "Predicting Asthma Prevalence by Linking Social Media Data and Traditional Surveys." ANNALS of the American Academy of Political and Social Science 669, no. 1 (December 20, 2016): 75–92. http://dx.doi.org/10.1177/0002716216678399.

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Asthma is one of the most common chronic diseases that has a profound impact on people’s well-being and our society. In this study, we link multiple large-scale data sources to construct an epidemiological model to predict asthma prevalence across geographic regions. We use: (1) the Social Media Monitoring (SMM) data from Twitter ( N = 500 million tweets/day), (2) the 2014 Behavioral Risk Factor Surveillance System (BRFSS) ( N = 464,664), and (3) the 2014 American Community Survey (ACS) conducted by the U.S. Census Bureau ( N = 3.5 million per year). We predict asthma prevalence in the traditional survey (BRFSS) using social media information collected from Twitter and socioeconomic factors collected from ACS. The evidence suggests that monitoring asthma-related tweets may provide real-time information that can be used to predict outcomes from traditional surveys.
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Pholpark, Aungsumalee, Aekplakorn, Wichai, and 신혜리. "Association between Behavioral Risk Factors and Self-Rated Health: Data from National Health Surveys in South Korea and Thailand." Health and Social Welfare Review 37, no. 2 (June 2017): 498–524. http://dx.doi.org/10.15709/hswr.2017.37.2.498.

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Veldheer, Susan, Wen-Jan Tuan, Martha Wadsworth, Lawrence Sinoway, Christopher Sciamanna, and Xiang Gao. "Gardening and Cardiovascular Disease Risk Factors in the 2019 Behavioral Risk Factor Surveillance System (BRFSS) Survey." Current Developments in Nutrition 5, Supplement_2 (June 2021): 1100. http://dx.doi.org/10.1093/cdn/nzab053_093.

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Abstract Objectives Gardeners may have better health outcomes, and consume more fruits and vegetables (F&V), than non-gardeners. However, this evidence is mainly based on small, non-representative samples. The purpose of this study was to understand differences in dietary and health outcomes between gardeners and non-gardeners using physical activity data from the 2019 Behavioral Risk Factor Surveillance System (BRFSS). Methods Adults (age 18+) with complete self-reported physical activity (PA) data were included. Participants were grouped as those who: (1) did not engage in any PA (non-exercisers), (2) reported gardening as their first or second PA (gardeners), or (3) reported any PA other than gardening (exercisers). Logistic and linear regression models identified associations between cardiovascular disease risk factors (self-reported, yes/no for body mass index (BMI)≥ 25 kg/m2, high cholesterol, or hypertension) or F&V intake (times/day, continuous) and group after controlling for age, race, sex, and education level. Results The sample (n = 396,261) was 55% women, majority white (81%), with more than a high school education (66%), and a mean age of 51 years. It was 7.6% gardeners, 65.2% other exercisers, and 27.2% non-exercisers. Gardeners were significantly more likely than exercisers or non-exercisers to be women (60.7% v. 49.3% and 53.4%, P &lt; 0.001), white (85.2% v. 74.7% and 71.2%, P &lt; 0.001), and aged 65+ (36.9% v. 18.8%, 25.9%, P &lt; 0.001). Gardeners consumed more F&V than exercisers and non-exercisers (3.0, v. 2.9, 2.2 times/day, respectively, P &lt; 0.01). Similar significant differences were observed when we further adjusted for aforementioned covariates. Compared to gardeners, non-exercisers were more likely to have a BMI ≥ 25 (adjusted OR (aOR) = 1.2, P &lt; 0.01), high cholesterol (aOR = 1.1, P &lt; 0.01), and hypertension (aOR = 1.2, P &lt; 0.01). Exercisers were less likely than gardeners to have each of these conditions (aOR = 0.93 for BMI ≥ 25; aOR = 0.88 for high cholesterol; and aOR = 0.87 for hypertension; all P &lt; 0.01). Conclusions Gardeners consume F&V more frequently than both exercisers and non-exercisers and they have fewer CVD risk factors than non-exercisers. Given these CVD preventative benefits, gardening should be recommended as a PA particularly for those with diet-related chronic diseases. Funding Sources None.
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Banga, Poonam, Tarundeep Singh, and Rajesh Kumar. "Rapid screening for behavioral risk factors in adolescents in North India." International Journal Of Community Medicine And Public Health 6, no. 8 (July 26, 2019): 3343. http://dx.doi.org/10.18203/2394-6040.ijcmph20193452.

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Background: Habits get established during the transitional age of adolescence making it important to conduct surveillance to detect high risk behaviours at an early age. Feasibility of such a surveillance system was tested for monitoring the risk factors in schools.Methods: A cross sectional survey was conducted in randomly selected schools of Chandigarh in India, by enrolling 226 students of class V to XII. A pretested structured questionnaire on dietary pattern, physical activity, tobacco and alcohol consumption, drug abuse, mental health, sexual behaviour etc., was administered after ensuring privacy and confidentiality.Results: A total of 226 students with a mean age of 14years (range 10 to 19years) participated in the study. The prevalence of tobacco use was 8%, alcohol consumption was 3%, and drug abuse was 4%. About 47% were involved in a physical fight. Around 7% students were overweight. About 50% of the students skipped breakfast during previous week, and 6% had no intake of fruits and vegetables in last one month. Only 53% reported consistent use of seat belts.Conclusions: Several behavioral risk factors were prevalent among school children in Chandigarh. Behaviour surveillance to monitor trends should be conducted at regular intervals.
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Akushevich, Igor, Julia Kravchenko, Lucy Akushevich, Svetlana Ukraintseva, Konstantin Arbeev, and Anatoliy Yashin. "Cancer Risk and Behavioral Factors, Comorbidities, and Functional Status in the US Elderly Population." ISRN Oncology 2011 (July 12, 2011): 1–9. http://dx.doi.org/10.5402/2011/415790.

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About 80% of all cancers are diagnosed in the elderly and up to 75% of cancers are associated with behavioral factors. An approach to estimate the contribution of various measurable factors, including behavior/lifestyle, to cancer risk in the US elderly population is presented. The nationally representative National Long-Term Care Survey (NLTCS) data were used for measuring functional status and behavioral factors in the US elderly population (65+), and Medicare Claims files linked to each person from the NLTCS were used for estimating cancer incidence. The associations (i.e., relative risks) of selected factors with risks of breast, prostate, lung and colon cancers were evaluated and discussed. Behavioral risk factors significantly affected cancer risks in the US elderly. The most influential of potentially preventable risk factors can be detected with this approach using NLTCS-Medicare linked dataset and for further deeper analyses employing other datasets with detailed risk factors description.
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Sarkar, Shoman, Raju Dey, Bidhan Roy Chowdhury, Shahryar Ahmed, and Sagar Chowdhury. "Pattern of Self-Reported Behavioural Risk Factors of Non-Communicable Diseases among Doctors Working in a Tertiary Care Hospital." Chattagram Maa-O-Shishu Hospital Medical College Journal 21, no. 2 (December 8, 2022): 14–17. http://dx.doi.org/10.3329/cmoshmcj.v21i2.63088.

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Background: Behavioural risk factors reduction is a key to Non-Communicable Diseases (NCDs) control. The doctors are educated and aware of society, yet their lifestyle and work habits have led them to suffer from NCDs. This study was carried out to determine the prevalence of the behavioral risk factors of major NCDs among doctors working at Chittagong Medical College Hospital (CMCH). Materials and methods: This cross-sectional study included 145 doctors working at CMCH from April 2020 to September 2020. A structured self-administered questionnaire based on the WHO STEPS instrument for NCDs risks factors surveys was used to collect data. Results: Out of 145 respondents, 104 doctors (71.7%) were males, and 41 doctors (28.3%) were females. Most doctors (50.3%) were aged 23 to 35 years and 29.7% were 35-44 years. The proportion of doctors currently smoking tobacco, drinking alcohol, being sedentary in daily life, and taking low vegetables and fruits was 8.3%, 8.3%, 18.6%, and 72.4%, respectively. No female doctor reported smoking or drinking. Ninety-one (62.8%) of doctors had one risk habit and 17.2% with two risk habits. Conclusion: It is desirable that doctors voluntarily strive to have a favourable lifestyle and that medical institutions actively enlighten doctors’ working at their institutions about this issue. Chatt Maa Shi Hosp Med Coll J; Vol.21 (2); July 2022; Page 14-17
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40

Latyshevskaya, N. I., V. V. Mirochnik, and L. A. Davydenko. "Behaver and risk factors for health of operators employed in oil production and preparation enterprises." Medical Herald of the South of Russia 11, no. 4 (December 20, 2020): 107–12. http://dx.doi.org/10.21886/2219-8075-2020-11-4-107-112.

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Objective: to evaluate the behavioral risk factors of the workers of the primary oil refining workshop with the aim of using them as a tool for substantiating management decisions and forming vectors of preventive measures.Materials and methods: the method of active survey investigated the prevalence of behavioral risk factors among operators in two age groups (20 – 35 and 36 – 60 years old).Results: the main vectors of behavioral risks for operators of different age groups were established: lack of motor activity, smoking, low medical activity, low perception of behavioral risks. Violations of lifestyle are predominantly combined (violations by 2 – 4 indicators). For older operators are more characterized by low motor and medical activity, disturbances in diet, an overestimation of the degree of influence of environmental and occupational factors on health when the significance of individual behavior is underestimated.Conclusions: Social policy at the enterprise should take into account the main vectors of behavioral risks, lower motivation and the implementation of a healthy style of behavior typical of older workers.
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41

Ochi, Sae, Mirai So, Sora Hashimoto, Kenzo Denda, and Yoichi Sekizawa. "Behavioral Factors Associated with COVID-19 Risk: A Cross-Sectional Survey in Japan." International Journal of Environmental Research and Public Health 18, no. 22 (November 20, 2021): 12184. http://dx.doi.org/10.3390/ijerph182212184.

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Background: Behaviors to avoid infection are key to minimizing casualties of the COVID-19 pandemic, as well as to avoid excessive interventions that are less effective. This study aims to identify behavioral patterns associated with SARS-CoV-2 infection in the real world. Methods: A questionnaire-based cross-sectional study was conducted targeting a research panel of NTTCom Online Marketing Solutions Corporation or its affiliates. Data were extracted so that their demographic composition ratios matched the population estimates. Individuals who answered with consistency to have been diagnosed with SARS-CoV-2 at a medical facility were categorized into a SARS-CoV-2 group. Differences in lifestyles were compared using multiple regression and inverse probability weighing. Results: In total 13,277 participants were included, of whom 44 (0.33%) were categorized as the SARS-CoV-2 group. Diagnosis of SARS-CoV-2 was negatively correlated with crowd avoidance, mask wearing, and hand-washing behavior. On the contrary, the diagnosis was positively correlated with some behaviors that appear to be preventive actions against the infection, such as changing clothes frequently, sanitizing belongings, and remote working. Conclusions: It is important to conduct evidence-based intervention on people’s behaviors and to avoid excessive interventions that are less effective, so that people can minimize the indirect harm, such as exhaustion and economic loss.
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O'Keefe, Ryan M., Michael Joseph Lariviere, Isabella Amaniera, Carolyn Vachani, Margaret K. Hampshire, Christina Bach, Karen Arnold-Korzeniowski, James M. Metz, and Christine E. Hill-Kayser. "Family history (FH) of gastrointestinal (GI) cancer and behavioral risks: Analysis of an Internet-based risk assessment tool." Journal of Clinical Oncology 38, no. 4_suppl (February 1, 2020): 807. http://dx.doi.org/10.1200/jco.2020.38.4_suppl.807.

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807 Background: Certain behaviors are known modifiable risk factors for development of GI cancers. The relationship between family history (FH) of GI cancers and individuals’ behaviors is not well understood, but is important for risk assessment/ counseling. Methods: The OncoLink “Reduce My Risk” tool is a publicly available online survey created in 2009 to provide customized information regarding cancer risk. Details of this survey have been reported; research is IRB-approved. Differences between those with v. without FH of GI cancers were analyzed using chi-square test. Results: 28,001 surveys were submitted. Median age was 26y (18-101), 60% female, 87% lived in North America, 76% White/Non-Hispanic, 64% reported FH of cancer. Individuals with FH of CRC reported eating less red meat (31% v. 34%, p = 0.007), processed grains (55% v. 59%, p < 0.001), or charred meats (14% v. 19%, p < 0.001), but were equally likely to be vegetarian (9% v. 10%, p = 0.059). Those with FH of esophageal cancer were more likely to have GERD (16% v. 9%), smoke > = 1 pack per day (7% vs. 4%) and drink alcohol (63% v. 55%) (p < 0.001 for all). Those with FH of gastric cancer were more likely to have H. Pylori or gastric ulcers (5% v. 3%, p < 0.001), but no difference in the consumption of smoked/salted foods (27% v. 25%, p = 0.20). Those with FH of HCC reported no differences in alcohol consumption (56% v. 55%, p = 0.41) or hepatitis B virus (HBV) vaccination (62% v. 62%, p = 0.66). Those with FH of anal cancer were more likely to have receptive anal intercourse (26% v. 16%, p < 0.001) but showed no differences in human papillomavirus (HPV) vaccination (21% v. 22%, p = 0.91). Those with FH of HCC (15% v. 13%, p = 0.035), gastric (16% v. 13%, p = 0.001), esophageal (17% v. 13%, p < 0.001), and anal (21% vs. 13%, p < 0.001) cancers were more likely to be smokers; those with a FH of CRC were less likely (11% v. 13%, p = 0.006), and those with FH of pancreatic (12% vs. 13%, p = 0.71) or cholangiocarcinoma (15% vs. 13%, p = 0.59) showed no difference. Conclusions: Many individuals with a FH of GI cancers engage in behavioral and other modifiable risk factors that increase risk for GI and other cancers. Future work should explore utility of targeted intervention and screening.
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43

Gao, Shan, Weimin Li, Shuang Ling, Xin Dou, and Xiaozhou Liu. "An Empirical Study on the Influence Path of Environmental Risk Perception on Behavioral Responses In China." International Journal of Environmental Research and Public Health 16, no. 16 (August 10, 2019): 2856. http://dx.doi.org/10.3390/ijerph16162856.

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In recent years, the outbreak of numerous environmental risk incidents aroused widespread public concern about the amplification mechanism of environmental risk in China. However, few studies have investigated the influence path of environmental risk perception on behavioral responses in Chinese context from a micro perspective. In this article, we develop a multidimensional path model from environmental risk perception to behavioral responses, which aims to investigate how the public’s environmental risk perception influence its different behavioral responses, including environmental radical behavior, environmental concern behavior and environmental protection behavior. A survey data from Chinese General Social Survey 2013 (CGSS2013), was used to test the model, including questions related to information channel (e.g., media use, interpersonal network), cognitive evaluation (e.g., environmental value, public’s evaluation of environmental governance) and environmental knowledge. The results indicate that both information channel factors and cognitive evaluation factors can significantly influence the progress that from environmental risk perception to behavioral responses, of which both media use and environmental value play the amplification role in the transform process, while interpersonal network and public’s evaluation of environmental governance would inhibit public’s risk perception transforming into environmental behavior. Besides, environmental knowledge displays a key bridge role between information channel factors and cognitive evaluation factors. This research findings also demonstrated the evolution paths of three environmental behaviors under the same level of risk perception, namely, risk transformation and diffusion, risk perception enhancement and risk attenuation respectively.
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44

Pirrallo, Ronald G., Roger Levine, and Philip D. Dickison. "Behavioral Health Risk Factors of United States Emergency Medical Technicians: The LEADS Project." Prehospital and Disaster Medicine 20, no. 4 (August 2005): 235–42. http://dx.doi.org/10.1017/s1049023x00002594.

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AbstractObjective:Personal risk behaviors are modifiable. This report describes the 2002 national baseline of behavioral health risk factors of US emergency medical technicians (EMTs) that can guide policy and program development in improving EMT well-being.Methods:A 19-item Health Behavioral Risk Survey (Appendix) was added to the 2002 Longitudinal Emergency Medical Technician Demographic Study mail survey. Risk survey questions covering physical activity, tobacco use, and alcohol use were modeled after the Centers for Disease Control and Prevention 2002 Behavioral Risk Factor Surveillance System (BRFSS) questionnaire. Personal, non-work related seatbelt use and motor vehicle driving questions were adopted from the 2002 US National Highway Traffic Safety Administration (NHTSA) Motor Vehicle Occupant Safety Survey (MVOSS). Post-stratification adjustment factors were used to allow comparisons with BRFSS and MVOSS national estimates.Results:A total of 1,919 EMT respondents were compared with 239,866 BRFSS and 5,220 MVOSS respondents. These comparisons indicate that EMT-Basics drove more slowly than paramedics; male EMTs drove faster, drank more, and wore their seatbelts less often than did female EMTs; female EMTs smoked more and engaged in vigorous exercise less than males. Those EMTs who reported to be in fair or poor health, smoked more and exercised less than those who reported to be in good or excellent health. Regardless of gender, age, or race, EMTs, on average, wore their seatbelts less often, drove faster than, and were less likely to engage in moderate physical exercise, compared to US adults.Conclusion:Stereotypical gender differences in risk behaviors exist among EMTs. An EMT's self-reported health positively correlates with smoking and exercising. Compared to US national estimates, except for smoking and vigorous exercise, EMTs have increased risk behaviors.
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45

Strang, Abigail, David Gao, Seema Rani, Frances Pasquale, Lauren Covington, Freda Patterson, and Aaron Chidekel. "0493 Daytime Sleepiness in Children with Asthma: Is it really the lungs?" Sleep 45, Supplement_1 (May 25, 2022): A218—A219. http://dx.doi.org/10.1093/sleep/zsac079.490.

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Abstract Introduction Insufficient nocturnal sleep is the most common reason of excessive daytime sleepiness. Children with asthma are at increased risk for sleep disruption secondary to nocturnal respiratory symptoms and medication effects, as well as more common behavioral pediatric sleep challenges. Not yet clear is the relative contribution of asthma severity versus behavioral factors to daytime sleepiness in a sample of children (8-17 years) with asthma. Methods This survey-based study was conducted in the outpatient pulmonology clinic at Nemours Children’s Hospital, Delaware between 2018-2021. Children with asthma were eligible if they had a diagnosis of asthma, spoke English, and did not have a developmental disorder. Participants completed four surveys: Pediatric Daytime Sleepiness Scale (PDSS, higher scores=more sleepiness), Pediatric Quality of Life Inventory (PEDS-QL, higher scores=better quality of life), PROMIS Pediatric Anxiety short form (higher scores=more anxiety symptoms), and an investigator-designed survey assessing sleep-related technology use. Asthma factors (e.g., asthma severity, lung function [FEV1], number of prescribed asthma medications) were obtained from the electronic medical record. Descriptives and multiple regression analyses were conducted to identify asthma severity and behavioral predictors of daytime sleepiness, controlling for demographics. Results Study participants (N=100) were mean age 12.1 years [SD=2.6], 54% male, and 45% Black. Persistent asthma was common (87%), with a mean of 4.2 (SD=2.5) prescribed asthma medications, and mean FEV1 of 97% (SD=17.8). On behavioral surveys patients scored: PDSS (M=14.13; range=0-31; SD=6.7), PEDS-QL (M=77.38; range=15.6-100; SD=18.6), and PROMIS (M=14.92; range=8-35; SD=7.2). 74% reported cell phone usage within 1 hour of bedtime. Multiple regression models showed that an increased number of prescribed medications (beta=0.168, p=0.042), lower patient-reported quality of life (beta=-0.310, p=0.004), increased anxiety symptoms (beta=0.203, p=0.05) and bedtime cellphone use (beta=0.290, p=0.003) were significantly associated with daytime sleepiness in children with asthma. Conclusion A greater number of behavioral than asthma severity factors related to daytime sleepiness in children with asthma. Strategies to reduce anxiety and bedtime cellphone use may be plausible behavioral targets to improve sleep in children with asthma. Further research to examine these associations longitudinally, and in children with more severe asthma, is warranted. Support (If Any) None
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46

Pang, Zengchang, Feng Ning, Jennifer Unger, C. Anderson Johnson, Shaojie Wang, Qian Guo, Weihua Cao, and Liming Lee. "The Qingdao Twin Registry: A Focus on Chronic Disease Research." Twin Research and Human Genetics 9, no. 6 (December 1, 2006): 758–62. http://dx.doi.org/10.1375/twin.9.6.758.

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AbstractWith the changing patterns of morbidity and mortality in China, noncommunicable chronic diseases have become the major threats to the health of the Chinese population. The causes of chronic diseases include genetic factors and behavioral risk factors such as the use of tobacco, alcohol, and other drugs, unhealthy dietary behaviors, and lack of physical activity. Twin studies offer a unique opportunity to disentangle the genetic and environmental risk and protective factors for chronic disease. The Qingdao Twin Registry (QTR) was initiated in 1998 as part of the National Chinese Twin Registry. Over 11,000 pairs of twins and multiples of all ages have been recruited into the registry. Several studies of physical and mental health are underway. Many of the adult twins have completed health and behavioral risk factor surveys, and the adolescent twins are participating in a study of gene–environment interactions in tobacco and alcohol use. Studies of the heritability of personality factors have been conducted. In 2002, Qingdao established the Qingdao Twin Health Promotion Association, a nonprofit organization that supports health services for twins and their parents, organizes special events and health-related activities for twins, and raises funds to conduct twin health examinations. The QTR will be a useful resource for future studies of population genetics in human health and disease.
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Asmaa, Ani, Norfaiezah Norfaiezah, and Ram Al Jaffri. "BEHAVIORAL FACTORS IN DETERMINING INTENTION TOWARDS INDEBTEDNESS AMONG GOVERNMENT SERVANTS." Advanced International Journal of Business, Entrepreneurship and SMEs 5, no. 18 (December 31, 2023): 353–68. http://dx.doi.org/10.35631/aijbes.518028.

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Malaysian households’ indebtedness has nearly RM1.38 trillion worth which is a symptom as opposed to a cause. Undoubtedly, Malaysia's household debtto-GDP ratio of 89% is among the highest. Indeed, worsen debt trend among the government servants are significantly pop up this issue of borrowing. The purpose of this research is to look into the influence of behavioral factors on intention towards indebtedness by using Theory of Planned Behavior. Using the partial least square (SmartPLS) technique, a survey of 377 government employees in Northern Malaysia was conducted using the exploratory method. Respondents completed a self-administered questionnaire regarding behavioural factors. The findings validated two out of the three proposed hypotheses. Among those variables, intention towards indebtedness had an extremely significant relationship with both attitude towards indebtedness and subjective norm. The results may assist the government agencies in formulating saving strategy that will lessen Malaysian government servants’ risk of financial ruin. Previous studies on indebtedness have been conducted using survey approach among individuals by using self-constructed model. Meanwhile, this study focuses on the government servant by applying the theory of Planned Behaviour.
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48

Asmaa, Ani, Norfaiezah Norfaiezah, and Ram Al Jaffri. "BEHAVIORAL FACTORS IN DETERMINING INTENTION TOWARDS INDEBTEDNESS AMONG GOVERNMENT SERVANTS." Advanced International Journal of Business, Entrepreneurship and SMEs 5, no. 18 (December 31, 2023): 353–68. http://dx.doi.org/10.35631/aijbes.51802.

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Анотація:
Malaysian households’ indebtedness has nearly RM1.38 trillion worth which is a symptom as opposed to a cause. Undoubtedly, Malaysia's household debt-to-GDP ratio of 89% is among the highest. Indeed, worsen debt trend among the government servants are significantly pop up this issue of borrowing. The purpose of this research is to look into the influence of behavioral factors on intention towards indebtedness by using Theory of Planned Behavior. Using the partial least square (SmartPLS) technique, a survey of 377 government employees in Northern Malaysia was conducted using the exploratory method. Respondents completed a self-administered questionnaire regarding behavioural factors. The findings validated two out of the three proposed hypotheses. Among those variables, intention towards indebtedness had an extremely significant relationship with both attitude towards indebtedness and subjective norm. The results may assist the government agencies in formulating saving strategy that will lessen Malaysian government servants’ risk of financial ruin. Previous studies on indebtedness have been conducted using survey approach among individuals by using self-constructed model. Meanwhile, this study focuses on the government servant by applying the theory of Planned Behaviour.
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49

Chauhan, Rahul, and Neerav Patel. "Unraveling Investor Behavior: Exploring the Influence of Behavioral Finance on Investment Decision-Making." Journal of Economics, Assets, and Evaluation 1, no. 4 (May 30, 2024): 1–13. http://dx.doi.org/10.47134/jeae.v1i4.292.

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The primary objective of this study is to gain a comprehensive understanding of how behavioral biases and psychological factors impact investment choices in a real-world context, with a specific focus on Baroda City. By analyzing awareness, innovation, purchasing power, online purchasing, and internet usage, the research aims to offer insights into the motivations and challenges faced by investors. A sample of 98 respondents is selected, and data is collected through surveys and interviews. The survey questionnaire assesses various behavioral finance factors, including the awareness of investment opportunities, innovative financial instruments, purchasing power, online investment behavior, and internet usage. Smart PLS is utilized for structural equation modeling and path analysis, while SPSS is employed for descriptive and inferential statistical analysis. The collected data undergoes thorough analysis to uncover the relationships between awareness, innovation, purchasing power, online investment behavior, and internet usage, and their impact on investment decisions. Smart PLS aids in examining structural relationships, and SPSS is instrumental in conducting statistical tests to validate the research hypotheses. The study reveals valuable insights into how behavioral biases and psychological factors shape investment decisions. It provides an understanding of the significance of awareness, innovation, purchasing power, online investment behavior, and internet usage in influencing investment choices and risk-taking behavior. The research findings indicate that awareness of investment opportunities and innovative financial instruments significantly affect investment decisions. Purchasing power emerges as a crucial determinant, and online investment behavior and internet usage exhibit positive relationships with investment choices in Baroda City. The study acknowledges certain limitations, including the sample size and geographical scope, which may restrict the generalizability of the findings. Additionally, behavioral finance is a complex field, and the study may not encompass all possible behavioral biases and psychological factors affecting investment decisions.
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Bundela, Manoj, Jayant Kumar, ND Soni, Raghuveer Choudhary, and Rajnee. "Assessment of cardiovascular behavioural risk factors in medical student." Bangladesh Journal of Physiology and Pharmacology 30, no. 2 (March 25, 2015): 1–8. http://dx.doi.org/10.3329/bjpp.v30i2.22675.

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It is an established fact that life-style related behavioral factors are mainly responsible for cardiovascular diseases. Doctors are playing very important role in imparting knowledge to the society as to how to stay away from diseases by adopting preventive measures. We studied the prevalence of life-style related risk behavior in medical students and to determine the effect of these factors on blood pressure. The study was conducted on 249 medical students, from which 182 were boys and 67 were girls of age group 16-29 years. In a random cross-sectional survey of medical students were interviewed for anthropometric measurements, BMI, dietary habits, physical activity and cardiovascular parameters. Cardiovascular risk factors in boys of medical college are more than girls. Out of 182 boys studied 48 [26.37%] were having their blood pressure values higher than 130/90 mm Hg. because of their faulty living/eating habits. Junk food, cola, alcohol and smoking is on rising trend with predominance of physical inactivity and overweight and as a consequence rise in the blood pressure. Dietary and exercise counseling is required for such students. DOI: http://dx.doi.org/10.3329/bjpp.v30i2.22675 Bangladesh J Physiol Pharmacol 2014; 30(2):1-8
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