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Автор: Grafiati
Опубліковано: 26 липня 2024
Оновлено: 27 липня 2024

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Статті в журналах з теми "Behavioral Risk Factors Surveys"

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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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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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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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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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Анотація:
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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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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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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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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Анотація:
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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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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Анотація:
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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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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Анотація:
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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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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Більше джерел

Дисертації з теми "Behavioral Risk Factors Surveys"

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Mao, Limin. "Gay Asian and Caucasian men in Sydney : cultural, social and cognitive factors associated with sex practices /." Connect to this title online, 2002. http://www.library.unsw.edu.au/~thesis/adt-NUN/public/adt-NUN20030303.112942/index.html.

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Azeredo, Catarina Machado. "Características individuais e contextuais associadas ao bullying entre escolares no Brasil." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/5/5137/tde-23092015-142247/.

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O bullying escolar é um importante problema de saúde pública que vem sendo extensivamente estudado em países de alta renda. Nos países de baixa e média renda, características individuais e contextuais associadas ao bullying são pouco conhecidas. A presente tese é composta por três estudos. O estudo 1 objetivou realizar revisão sistemática sobre fatores contextuais associados ao bullying escolar. A busca utilizou as bases de dados MEDLINE, PsychInfo, Web of Knowledge e SciELO. Trinta e um estudos foram incluídos. Resultados sugerem associação entre maior desigualdade de renda em classes, escolas e países e maior risco de bullying. A relação entre tamanho da classe e da escola com bullying foi inconclusiva; escolas sem normas anti-bullying, com menor apoio e pior gestão da classe pelo professor tiveram maior risco de bullying. O estudo 2 visou identificar características individuais e contextuais associadas ao bullying verbal na escola, entre adolescentes brasileiros. Utilizou-se dados da Pesquisa Nacional de Saúde do Escolar (PeNSE) 2009, com estudantes do 9º ano escolar. Realizou-se modelos de regressão logística multinível para identificar associações com variáveis de três níveis (indivíduo, escolas, cidades). A prevalência de bullying verbal em adolescentes brasileiros foi 14,2%. Somente 1,8% e 0,3% da variância do bullying verbal ocorreu nos níveis de escola e capital, respectivamente. Nenhuma característica das cidades se associou ao bullying. Escolas privadas apresentaram mais bullying que escolas públicas. Desigualdade de renda não se associou ao bullying. Meninos, os mais jovens, os que não moravam com pai e mãe, os expostos à violência doméstica, os com baixo peso ou sobrepeso sofreram mais bullying. O estudo 3 objetivou identificar padrões de comportamento relacionados a saúde, incluindo bullying, entre adolescentes brasileiros. Utilizou-se dados da segunda edição da PeNSE, coletados em 2012. Realizou-se análise fatorial exploratória e confirmatória, além de regressão linear para descrever características socio-demográficas associadas a cada padrão. Identificou-se três padrões de comportamento: o padrão \"comportamento problema\", compreendeu comportamento agressivo (incluindo bullying), consumo de álcool, cigarro e drogas e sexo não seguro; o padrão \"comprometedor da saúde\" incluiu indicadores de alimentação não saudável e comportamento sedentário; e o padrão \"promotor da saúde\" incluiu indicadores de alimentação saudável e atividade física. Os padrões \"comportamento problema\" e \"comprometedor da saúde\" se associaram aos mais velhos e aos residentes em regiões mais desenvolvidas, sendo o primeiro associado a escolas públicas e ao sexo masculino, enquanto o segundo ao sexo feminino. O padrão \"promotor da saúde\" se associou ao sexo masculino e aqueles com mães com maior nível educacional. Concluiuse que contextos de desigualdade parecem mais propícios à ocorrência de bullying de acordo com a revisão. Entretanto, dados do Brasil não corroboram essa hipótese para bullying verbal. Ambiente escolar com adoção de regras anti-bullying e professores mais solidários devem ser estimulados. As características das escolas e cidades estudadas explicaram pouco o bullying verbal. Características individuais sugerem sub-grupos de maior risco, podendo subsidiar políticas anti-bullying. Perpetrar bullying compôs o padrão de \"comportamento problema\", indicando que as intervenções devem ser mais amplas e direcionadas a múltiplos comportamentos
School bullying is an important public health problem, which has been extensively studied among high-income countries. In low- middle-income countries, there is a lack of information about associations between both individual-level and contextual-level characteristics with bullying. The aim of Study 1 was to carry out a systematic review of contextual factors associated with school bullying. Searches were performed in MEDLINE, PsychInfo, Web of Knowledge and SciELO. 31 studies were included. Results suggested that greater income inequality in schools, classes and countries is associated with increased risk of bullying. The influence of class and school size on bullying was inconclusive; schools without anti-bullying rules, with less support and poorer classroom management by the teacher had a higher risk of bullying. The aim of study 2 was to identify individual and contextual characteristics associated with verbal bullying, among Brazilian adolescents. We used data from the National Survey of School Health (PeNSE 2009) on students in 9th grade. We performed multilevel logistic regression models to identify associations with variables from three levels (individual, school, city). The prevalence of verbal bullying among Brazilian adolescents was 14.2%. Only 1.8% and 0.3% of the bullying variance occurred at school and capital levels, respectively. No city characteristic was associated with bullying. Private schools showed more bullying than public. Income inequality was not associated with bullying in Brazil. Boys, those of younger age, those not living with both parents, those exposed to domestic violence, those underweight or overweight suffered more bullying. The aim of Study 3 was to identify health-related behavior patterns, including bullying, among Brazilian adolescents. We used data from the second edition of PeNSE, carried out in 2012. We conducted exploratory and confirmatory factor analysis to identify behavior patterns, and linear regression models to describe sociodemographic characteristics associated with each pattern. We identified three behavior patterns; the problem-behavior pattern, which comprised aggressive behavior (including bullying), alcohol drinking, smoking, drugs use and unsafe sex; the health-compromising pattern, which included unhealthy diet indicators and sedentary behavior; and the health-enhancing pattern, which included healthy diet indicators and physical activity. The problembehavior and health-compromising patterns were associated with older age and from more developed regions. The former was associated with male gender and attending public school, while the latter was associated with female gender and more educated mothers. The health-enhancing pattern was associated with male gender and more educated mothers. In conclusion, the review suggested that bullying is more likely to occur in unequal contexts, but we could not confirm this hypothesis for verbal bullying in the Brazilian setting. Schools should be encouraged to adopt anti-bullying rules and to train teachers in bullying prevention. Among Brazilian adolescents the school and city variables explained litle of verbal bullying victimization. Individual characteristics indicated high risk sub-groups, which could be used to support anti-bullying policies. Bullying perpetration comprised part of the problem behavior pattern, suggesting that interventions should be more broaden
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Serrano, Triana Christian Felipe <1990&gt. "Behavioral factors that trigger Systemic Risk." Master's Degree Thesis, Università Ca' Foscari Venezia, 2015. http://hdl.handle.net/10579/6938.

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Анотація:
Since the last financial crisis many new approaches have emerged in an attempt to explain it. Nevertheless, little has been said about the co-evolution of systemic risk and market behavior. A brief introduction to both theories will conduct through a better understanding of the patterns behind the crisis. A comparison between some systemic risk measures and the sentiment experienced by the market give raise to a statistical relationship.
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Finley, Patrick L. "The impact of social marketing on a web-based behavioral risk factor surveillance survey." College Park, Md. : University of Maryland, 2004. http://hdl.handle.net/1903/1553.

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Анотація:
Thesis (Ph. D.) -- University of Maryland, College Park, 2004.
Thesis research directed by: Public and Community Health. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Costello, Sadie Cash. "Environmental, behavioral and familial risk factors for Parkinson's disease." Diss., Restricted to subscribing institutions, 2008. http://proquest.umi.com/pqdweb?did=1679291501&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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6

Holt, Nicole, Shimin Zheng, Jodi L. Southerland, Yan Cao, Deborah L. Slawson, and Lori Paisley. "Prevalence of and Risk Factors for Childhood Obesity in Tennessee Using the 2010 Youth Risk Behavior Survey (YRBS) Data: a Multilevel Analysis." Digital Commons @ East Tennessee State University, 2015. https://dc.etsu.edu/etsu-works/100.

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Анотація:
Introduction: Childhood obesity has more than quadrupled in the last 30 years, with the prevalence in adolescents aged 12-17 years increasing from 5% in 1980 to 21% in 2012. The purpose of this study was to estimate the extent to which childhood obesity in Tennessee is associated with between-context differences (districts, schools and classes) and to identify factors at the district, school, class, and individual level that influence the individual weight status among 64,790 Tennessee children and adolescents. Methods: Crosssectional data from the Youth Risk Behavior Survey (YRBS) conducted in Tennessee (2010) were used to conduct multilevel analyses that account for the nesting of students in classes, classes in schools and schools in districts. The outcome variable was childhood obesity (>95th percentile). Explanatory variables included district-level factors (the proportion of children wearing seat belts or helmets in district and the proportion of being asked to show proof of age), school-level factors (current tobacco use in school, and HIV/AIDS education in school), class-level factors (the average of smoking days in past 30 days and the proportion of ever having exercised to lose weight in class) and individual-level factors (state geographical regions, age, gender, grade, ever ridden in a car driven by someone who had been drinking alcohol, ever carried a weapon, made a plan to kill yourself, ever used or early onset use of tobacco, alcohol, marijuana, exercised to control weight, school day television time, days of physical education (PE) classes. Odds ratios (ORs) and corresponding 95% confidence intervals (CIs) were reported. Results: Multilevel analyses indicate that 0.90%, 0.08%, and 0.45% of the variation in obesity is associated with class, school and district differences, respectively. Male middle schoolers were at greater risk for obesity [OR: 1.82, C.I. (1.75, 1.89)] compared to females. For every one year increase in age, the relative odds of obesity increased by 11% (OR 0.89, 95% CI 0.88-0.91). Students with worse grades were more likely to have obesity [OR: 1.33, C.I. (1.13, 1.56)]. Students who watched TV 3 hours or more per day were more likely to be obese [OR: 1.31, C.I. (1.23, 1.40)] compared to those who did less than 3 hours per day. Similarly students who ever tried cigarettes were more likely to be obese [OR: 2.15, C.I. (1.62, 2.85)] compared to those students who did not. Students who reported wearing seat belts [OR: 0.05, C.I. (0.02, 0.16)] were less likely to be obese. Conclusions: This study highlights a number of modifiable factors on multiple levels associated with child and adolescent obesity in the state of Tennessee. The results emphasize the importance of targeting programs beyond individual adolescent factors to the child’s classes, schools, and school districts, to reduce the prevalence of obesity among Tennessee adolescents.
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Pérez-Bonaventura, Iris. "Overweight in preschool children: behavioral problems and early risk factors." Doctoral thesis, Universitat Autònoma de Barcelona, 2016. http://hdl.handle.net/10803/385210.

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Анотація:
El sobrepès en la infància s’ha convertit en un problema de salut pública ja que està relacionat amb importants comorbiditats mèdiques i cada cop nens més petits tenen sobrepès. Objectius: Examinar de manera transversal i longitudinal les associacions entre problemes de conducta i el sobrepès, i identificar els factors de risc pel sobrepès. Mètode: Una mostra comunitària de n=622 nens de 3 anys va ser seguida fins als 5 anys, registrant anualment l’altura, el pes i la psicopatologia. Els següents instruments van ser administrats als pares: el Qüestionari de Fortaleses i Dificultats, l’Entrevista Diagnostica per Nens i Adolescents i l’Entrevista de Factors de Risc. L’anàlisi del pes i l’altura va considerar l’índex de massa corporal (IMC) i el sobrepès definit segons els estàndards de l’Organització Mundial de la Salut. Els anàlisis estadístics van incloure els models generals lineals i regressions binaries logístiques. Resultats: Els nens que tenien sobrepès i un IMC més elevat, tenien més risc de tenir problemes amb els companys i símptomes del trastorn de dèficit d’atenció amb hiperactivitat (TDAH). L’anàlisi longitudinal va mostrar que un major IMC als 3 anys era predictiu de puntuacions més elevades en la dimensió problemes amb els companys als 4 i 5 anys i majors puntuacions en la dimensió d’hiperactivitat i TDAH als 4 anys. Addicionalment, els resultats van mostrar dos factors de risc pel sobrepès i l’IMC en l’etapa preescolar: nivell socioeconòmic baix i major pes al néixer. Conclusions: Aquest estudi és el primer, que usant un instrument psicològic de diagnòstic, mostra una relació entre el IMC/sobrepès i el TDAH en preescolars. Els nens que tenen sobrepès, ja des de ben petits, podrien beneficiar-se del cribratge per problemes de conducta i problemes de relació amb els companys. A més, la identificació en una etapa primerenca dels nens amb un major risc de tenir sobrepès ofereix el potencial per l’elaboració de programes de prevenció de sobrepès.
Childhood overweight is a public health concern that poses serious threats to children’s health and is being found at ever younger ages. Objectives: To examine cross-sectional and longitudinal associations between behavioral problems and weight status, and to identify risk factors in early life for overweight in preschoolers. Methods: A community sample of n=622 three-year-olds was followed until the age of 5, their height and weight and psychopathology were registered annually. The Strengths and Difficulties Questionnaire, the Diagnostic Interview for Children and Adolescents, and the Schedule of Risk Factors were administered to their parents. Weight status considered body mass index (BMI) and overweight status defined by World Health Organization standards. Statistical analysis included general linear models and binary logistic regressions. Results: Children who were overweight and had a higher BMI were at increased risk of having peer problems and attention-deficit/hyperactivity disorder (ADHD) symptoms. Prospective analyses showed that a higher BMI at the age of 3 years was predictive of higher scores in the peer problems dimension at ages 4 and 5 years and higher scores in the hyperactivity dimension and ADHD symptoms at the age of 4 years. Furthermore, two strong risk factors for overweight and a higher z-BMI in the preschool years were a family’s low socioeconomic status and high birth-weight. Conclusions: This is the first study using a psychological diagnostic-based instrument that shows a relationship between weight status and ADHD symptoms in preschoolers. Overweight children might benefit from screening for behavioral disorders and peer relationship problems. Moreover, identification in early life of groups of children at higher risk of becoming overweight offers the potential for early prevention programs.
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O'Leary, Suzanne R. "Are behavioral factors associated with a woman's risk of endometriosis? /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 1998. http://wwwlib.umi.com/cr/ucsd/fullcit?p9834971.

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Nicholas, Rena A. "Workstyle intervention for the prevention of work-related upper extremity problems : a randomized controlled trial /." Download the dissertation in PDF, 2005. http://www.lrc.usuhs.mil/dissertations/pdf/Nicholas2005.pdf.

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Ogbu, Chukweumeka, Sheryl Strasser, Casey Morrell, Nicole Holt, and Shimin Zheng. "Association Between Physical Fighting and Risk Factors in Middle School Students in Tennessee: Data from the 2013 Tennessee Youth Risk Behavior Survey." Digital Commons @ East Tennessee State University, 2016. https://dc.etsu.edu/etsu-works/116.

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Книги з теми "Behavioral Risk Factors Surveys"

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Stein, Aryeh D. Behavioral risk factors and preventive health measures: The Massachusetts behavioral risk factor surveys, 1986-1990. Boston, MA (150 Tremont St., Boston 02111): Massachusetts Dept. of Public Health, 1992.

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Adams, Mary L. Cancer risk factors in Wyoming: Results from the 2003 Wyoming behavioral risk factor surveillance system. Cheyenne, Wyo.]: Published by the Preventive Health and Safety Division, 2004.

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Adams, Mary L. Cardiovascular disease risk factors in Wyoming: Results from the 2003 Wyoming behavioral risk factor surveillance system. Cheyenne, Wyo.]: Published by the Preventive Health and Safety Division, 2004.

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Service, Oklahoma Chronic Disease, ed. Behavioral risk factors among American Indians in Oklahoma. Oklahoma City, OK: Oklahoma State Dept. of Health, Chronic Disease Service, 2004.

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Maine. Bureau of Health. Division of Health Promotion & Education., ed. Maine behavioral risk factor survey, 1989. [Augusta]: Maine Dept. of Human Services, Bureau of Health, Division of Health Promotion & Education, 1991.

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New York (State). Dept. of Health, ed. New York State behavioral risk factor surveillance system, 1983 and 1985. Albany, N.Y: New York State Dept. of Health, 1987.

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Dodge, Richard. Montana behavioral health risk survey: Statewide analysis of selected health risk factors, 1990 annual report. Helena: Montana Dept. of Health and Environmental Sciences, Behavorial Risk Factor Surveillance System, Chronic Disease Prevention and Health Promotion Program, 1991.

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Montana. Department of Health and Environmental Sciences. Montana behavioral health risk survey: Statewide analysis of selected health risk factors, 1991 annual report. Helena, Mont: Dept. of Health and Environmental Sciences, 1992.

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Massachusetts. Chronic Disease Surveillance Program. Health risks & preventive behavior among Massachusetts adults, 1996: Results from the behavioral risk factor surveillance system. [Boston, Mass.]: Chronic Disease Surveillance Program, Massachusetts Department of Public Health, 1999.

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Oregon Center for Health Statistics. Research and Statistics Unit., ed. Reducing risk behaviors that affect health: The 1988 Oregon survey from behavioral risk factor surveillance. [Portland, OR]: Oregon Dept. of Health Human Resources, Health Division, Health Status Monitoring Center for Health Statistics, 1990.

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Частини книг з теми "Behavioral Risk Factors Surveys"

1

Morabia, Alfredo, Mary E. Northridge, Sigrid Beer-Borst, and Serge Hercberg. "Harmonising Local Health Survey Data." In Global Behavioral Risk Factor Surveillance, 133–54. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0071-1_11.

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Molina, Kristine M., Kristine M. Molina, Heather Honoré Goltz, Marc A. Kowalkouski, Stacey L. Hart, David Latini, J. Rick Turner, et al. "Risk Factors." In Encyclopedia of Behavioral Medicine, 1684. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_101495.

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Thiriet, Marc. "Behavioral Risk Factors." In Biomathematical and Biomechanical Modeling of the Circulatory and Ventilatory Systems, 549–94. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89315-0_6.

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Gidron, Yori. "Multiple Risk Factors." In Encyclopedia of Behavioral Medicine, 1434–35. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39903-0_1441.

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Bronson, Caitlin A., Rachel S. Rubinstein, and Richard J. Contrada. "Cardiovascular Risk Factors." In Encyclopedia of Behavioral Medicine, 383–91. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39903-0_1612.

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Khanfer, Riyad, John Ryan, Howard Aizenstein, Seema Mutti, David Busse, Ilona S. Yim, J. Rick Turner, et al. "Multiple Risk Factors." In Encyclopedia of Behavioral Medicine, 1274–75. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_1441.

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Rubinstein, Rachel S., and Richard J. Contrada. "Cardiovascular Risk Factors." In Encyclopedia of Behavioral Medicine, 343–50. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_1612.

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Gidron, Yori. "Multiple Risk Factors." In Encyclopedia of Behavioral Medicine, 1–2. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4614-6439-6_1441-2.

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Bronson, Caitlin A., Rachel S. Rubinstein, and Richard J. Contrada. "Cardiovascular Risk Factors." In Encyclopedia of Behavioral Medicine, 1–8. New York, NY: Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4614-6439-6_1612-2.

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Gidron, Yori. "Suicide Risk, Suicide Risk Factors." In Encyclopedia of Behavioral Medicine, 2201–2. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39903-0_1517.

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Тези доповідей конференцій з теми "Behavioral Risk Factors Surveys"

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Win, Alexander, Dylan Richards, Matthew Pearson, and Protective Strategies Study Team. "Cannabis Protective Behavioral Strategies: Moderating the Effects of Antecedents on Consequences?" In 2020 Virtual Scientific Meeting of the Research Society on Marijuana. Research Society on Marijuana, 2021. http://dx.doi.org/10.26828/cannabis.2021.01.000.15.

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The purpose of the present study was to replicate and extend tests of interaction effects between cannabis protective behavioral strategies use and a wide range of risk/protective factors for cannabis-related consequences. We recruited 2,226 college students (Mage = 20.28, SD = 3.37; 68.8% female; 75.4% white) from 10 universities throughout the U.S. who reported using cannabis in the past month to complete an online survey. Measures included in the survey assessed cannabis use, cannabis-related consequences, cannabis protective behavioral strategies use, and 35 risk/protective factors (including socio-demographic characteristics [e.g., biological sex]). Cannabis protective behavioral strategies use was negatively correlated with cannabis-related consequences while controlling for the risk/protective factors. Most importantly, 33% and 54% of the interaction effects tested were statistically significant, depending on the covariates entered into the model. The interaction effects had a consistent pattern such that the positive association between greater risk and cannabis-related consequences was weaker as cannabis protective behavioral strategies use increased. These findings suggest that none of these interaction effects are particularly specific for any given risk/protective factor. We draw parallels to research on alcohol protective behavioral strategies and offer suggestions for moving the cannabis protective behavioral strategies field forward.
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Maksimov, S. A., Mikhail Kurakin, Natalya Kostina, and M. B. Kotova. "ASSESSMENT OF BEHAVIORAL RISK FACTORS AS A WAY OF DESIGNING NEW PRODUCTS OF SPECIALIZED NUTRITION." In I International Congress “The Latest Achievements of Medicine, Healthcare, and Health-Saving Technologies”. Kemerovo State University, 2023. http://dx.doi.org/10.21603/-i-ic-79.

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The aspects of designing new products are considered. The relevance of socio-demographic data of the consumer is noted. A developed questionnaire consisting of 10 modules is proposed to obtain data on behavioral risk factors of students of a higher educational institution. The survey will allow a comprehensive assessment of the contextual impact on students of environmental conditions and their individual eating patterns and habits.
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Kong, Ivan, and Masooda Bashir. "A Closer Look at Insider Threat Research." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002198.

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Insider threats are a danger to organizations everywhere and no organization is immune to the effects of an insider incident. Organizations suffer from individuals whose actions expose the organization to risk or harm in some ways. This situation includes insiders who intentionally or unintentionally cause actions that bring harm or significantly increases risk to the organization. Insider security breaches have been identified by organizations as a pressing problem with no simple solution. This paper presents a systematic literature review of published, scholarly articles on insider threat research from 2010 to 2020. The focus of this literature review is to survey the topics, methodologies, and theories of current insider threat research. The goal of this literature review is to provide an overview of the trends in insider threat research. Fifty-two studies were identified, and about half the papers dealt with identifying potential insiders through machine learning techniques. The most popular trend was the use of learning-based algorithms, such as neural networks and support vector machines, that classified a user as an insider versus a non-insider. Aside from the popular modeling approach, the other publications included in our review focused on human factors related to insider threat and the common methodology for these papers were the use of surveys and questionnaires. Another trend identified in the literature was the use of behavioral patterns as an insider threat indicator. Lastly, researchers identified best practices for organizations to address insider threats. The outcome of this literature review identified trends, best practices, and knowledge that can be used to further develop insider threat frameworks and methodologies. Furthermore, this literature review presents implications for researchers including challenges, issues, and future research directions.
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Lambrecht, Franz, and Carsten Sommer. "SafeBike - a road safety programme for young adolescent cyclists." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002428.

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In 2019, approximately 29,000 children (up to 15 years of age) were involved in road traffic accidents in Germany. The cohorts with the most accident victims are the 11- to 14-year-olds, about half of whom (approx. 6,000 children) were involved in accidents by bicycle. The number of cyclists involved in accidents rises sharply after the transition from primary to secondary school. This is due to a change in driving behavior after the change of school compared to the primary school period. Many pupils start cycling to school after changing to secondary school. Furthermore, extensive behavioral changes occur with the onset of puberty, which, for example, increases the willingness to take risks in road traffic. SafeBike is a road safety program for the particularly vulnerable target group of 11 to 14-year-old cyclists based on observation procedures, self-reflection and personal responsibility. The basic aim of SafeBike is to raise students' awareness of danger perception when cycling, leading to an increased sense of safety in the short term, so that in the long term the number of cycling accidents in the target group will decrease. After participating in the program, students are expected to be more critical of their own behavior, among other things. SafeBike consists of three components: a self-assessment of one's own driving behavior in terms of safety, the treatment of several subject areas in which driving errors and traffic conflicts occur more frequently, and a final re-assessment of one's own driving behavior.The traffic effects of the program were surveyed and evaluated in a pilot test at two different schools in Germany. In the post-surveys, the test group committed about 50% fewer traffic conflicts and driving errors than the control group, which attests to the very high short-term effectiveness of SafeBike. In the control group, who did not complete the program, no significant improvements occurred in comparison to the before survey, in contrast to the subject group. In the test group, there were significant positive effects, especially in the case of driving errors that occurred particularly frequently in the pre-surveys and were correspondingly addressed in the program and discussed by the students. Particularly high positive effects were achieved with conversations while driving, at the pedestrian crossing and using the pavement on the wrong side of the road. Medium effects were achieved with hand signals and looking around. This means that the road safety program can be used in road safety education throughout the country. However, long-term effects are not yet available and must be determined in further studies.
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Bialorudzki, Maciej, Arkadiusz Nowak, Joanna Mazur, Alicja Kozakiewicz, and Zbigniew Izdebski. "Willingness to Test for HIV among the Population of Adults in Relation to their Sexual Activity and Opinions." In XIV Congresso da Sociedade Brasileira de DST - X Congresso Brasileiro de AIDS - V Congresso Latino Americano IST/HIV/AIDS. Zeppelini Editorial e Comunicação, 2023. http://dx.doi.org/10.5327/dst-2177-8264-202335s1019.

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Introduction: Surveys concerning sexual life were conducted in Poland five times between 1997–2017. Within that period, the proportion of respondents who declared oral and anal contacts grew significantly. The decreasing proportion of people who consider having an HIV blood test (dropped by 6% from 2011 to 2017) was alarming. Objective: To identify the main factors related to willingness to test for HIV. Methods: The data pertain to 1,746 persons aged 18–49 years, surveyed in 2017 (49.1% males, average age 31.8±9.7). Twenty socio-demographic and behavioral independent variables were considered, including sexual behaviors and related opinions. Apart from the univariate analysis, a multi-factor logistic regression model was estimated for 1,364 sexually active persons. Results: Of the total respondents, 15.8% had considered HIV screening, and 10.3% had made it. The analyzed proportion grew up to 34.0% among people who had bisexual experience and up to 48.3% in case of only homosexual contact, and up to 29.1% and 21.5% in case of anal and oral contacts, respectively. Among others, the increase in HIV screening intent was related to the growing role of sex in life, a higher number of partners, being single, preferring sex without love, understanding HIV risk, and a positive attitude towards homosexuality. In the multi-factor analysis, in order of importance, the following predictors remained in the final model (coefficient of determination [R2]=0.140): residing in a big city (odds ratio [OR]=2.52), anal contact (OR=1.72), maintaining homosexual contact only (OR=6.33), oral contact (OR=2.03), considering homosexuality as nothing wrong (OR=1.61), perception of HIV hazard (OR=1.45), and allowing sex without love (OR=1.40). Conclusion: HIV screening is still not a common practice in Poland. Stigmatization and limited access to screening centers may be the barrier, which was proven by the dominant influence of the domicile, even when adjusted for behavioral and cultural factors.
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El-Shamouty, Basma, Samuel Osisanya, Md Motiur Rahman, Bisweswar Ghosh, Mark De Athe, and Bekheet Al Jasmi. "An Engineer's Systematic Approach to Achieving Superior Safety Performances on Drilling Rigs." In Middle East Oil, Gas and Geosciences Show. SPE, 2023. http://dx.doi.org/10.2118/213263-ms.

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Abstract Safety on the rig floor must be addressed habitually to avoid tragic fatalities and environmental crises. The objectives of this study were: (1) creating an engineer's system approach named "" to achieve a superior drilling rig safety performance by changing the Health Safety and Environment (HSE) culture and worksite behavior, (2) ensuring proper engagement and commitment of the workforce from the top to the bottom of the hierarchy and (3) to provide a tool that can be utilized on any rig floor. This tool assists in evaluating the risk from three different perspectives: People, Equipment, and Process (PEP). The research covered surveys of offshore oil companies in the Middle East. A total of 16 sites, which included four jack-ups, eight island rigs, and four service areas (mud and cementing units). The feedbacks from the surveys were used to create a risk model and a risk assessment tool, which evaluates the risk factor of hazards resulting from the interaction between people and equipment. Based on the risk factor value and each survey feedback, an episode is created to deliver a very attractive and methodical safety message for the rig-floor workforce. The crew's safety performance has been monitored on a monthly basis to test the impact on the company's’ HSE performance. The results show that had a significant positive impact. A total of 335 days of an injury-free environment was achieved in 2018 while delivering several wells with a lateral length of 25,000 feet in a total of 66 days. Additionally, the number of incidents was reduced by 85% by the end of 2018. The survey data also show insightful analysis: 50% of the incidents are due to lack of situational awareness; the rig floor equipment that exhibits the highest risk are top drive, iron roughneck, manual tongs, air wench, and lifting gears. The humane factors that indicate the highest risk on the rig floor are people's attitude, awareness, communication, driller's influence, and green hands. The identified opportunity areas of major concern are the Red zone, functional Iron-Roughneck, and regular equipment maintenance. The six by four weeks’ work-leave rotation cycle results in more incidents compared to the four-by-four weeks’ rotation cycle.
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Mugharbil, Mohammed, and Mohammed Al Khunaizi. "Significance of Smart and Integration System Solutions in Maintaining Well Integrity." In SPE Middle East Oil & Gas Show and Conference. SPE, 2021. http://dx.doi.org/10.2118/204574-ms.

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Abstract Well integrity is one of the most critical elements for extending the producible life of a well. A healthy well enables optimization of productivity, enhanced oil recovery, trial tests of new technologies, and much more. Factors such as external corrosive aquifers, internal corrosion, corrosive hydrocarbons, cement bond damage, solids and sand production, and others are considered the main integrity dangers worldwide. When well integrity is affected, not only economic risks but also risks to health, environment and safety are probable. Well integrity is an objective achieved by optimum design and construction of the well after studying and assessing all possible hazards; effective monitoring of the well behavior while it's under production; and timely intervention when an integrity problem is detected. Evaluating all the aspects of well integrity during well operation is crucial. Cyclic surveillance is important to be followed, including wellhead pressures/annuli surveys, temperature surveys, corrosion logs, wellbore clearance, and well fluid samples, among other activities. With the help of smart and integrated systems, production engineers can have much better control over well integrity and be proactive in making timely decisions prior to any unforeseen events. The smart system keeps the well surveillance records, risk-rank the wells, and sets KPIs to tackle necessary actions wherever applicable. The developed system immediately triggers any threat on well integrity when it occurs.
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Sotelo, Melissa, Dylan Richards, Matthew Pearson, and Protective Strategies Study Team. "Self-Reported Symptoms of Cannabis Use Disorder (SRSCUD): Psychometric Testing and Validation." In 2020 Virtual Scientific Meeting of the Research Society on Marijuana. Research Society on Marijuana, 2021. http://dx.doi.org/10.26828/cannabis.2021.01.000.16.

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Findings from national surveys demonstrate that cannabis use peaks in young adulthood and that the annual prevalence of marijuana use among young adults (34.0%) is the highest it has been in decades (Johnston et al., 2016). We developed a 13 item measure designed to characterize the 11 symptoms of CUD as described in the DSM 5 (APA, 2013). To evaluate the performance of this Self Reported Symptoms of Cannabis Use Disorder (SRSCUD) measure, we examined its associations with other measures of CUD symptoms, negative cannabis related consequences, and other known risk factors for CUD (i.e., coping motives). Colleges students (n =7000) recruited from 9 universities in 9 states throughout the U.S. Our analyses focus on past month cannabis users (n = 2077). We split our sample in half to conduct exploratory factor analysis (EFA,n = 1011) and confirmatory factor analysis (CFA, n = 1012). All items loaded saliently on a single factor of CUD symptoms in both EFA (.553 = λ = 805) and CFA models (.524 = λ = 830) (see Table 1). In our final model, we allowed correlated errors between the two indicators of tolerance (items 10 and 11) and the two indicators of withdrawal (items 12 and 13), and obtained acceptable model fit across most indices: CFI = .941, TLI = .927, RMSEA = .059, SRMR = .042. As shown in Table 2, the total score of the SRSCUD was strongly correlated with other CUD symptoms measures (.617 < r s < .697), demonstrating convergent validity. SRSCUD was moderately positively correlated with a well known risk factor for CUD (coping motives) and moderately negative correlated with a well known protective (cannabis protective behavioral strategies). We conducted receiver operator characteristic (ROC) curve analyses to identify well how our continuous measure of CUD symptoms could identify individuals who exceed the cutoffs for probable CUD on these other symptom measures. For the most well validated measure (CUDIT R), we had excellent sensitivity/specificity (mean score of 1.5 on SRSCUD) for predicting probable CUD. Although more research evaluating performance of the SRSCUD compared to a clinical diagnosis is needed, we have preliminary evidence for construct validity of this measure.
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Johnson, Julie, and Samantha Doonan. "Risk and Protective Factors Associated with Cannabis Use in Massachusetts Youth." In 2020 Virtual Scientific Meeting of the Research Society on Marijuana. Research Society on Marijuana, 2021. http://dx.doi.org/10.26828/cannabis.2021.01.000.2.

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Cannabis policies are continuously evolving, over half of U.S. youth now live in a state with a form of legalized cannabis. Monitoring risk and protective factors is critical to ensure evidence-based youth prevention in this post cannabis-prohibition era. Massachusetts has enacted and implemented three forms of legalization: (1) Decriminalization (2008), (2) medical cannabis (2012), and (3) adult-use cannabis (2016). This study used state Youth Risk Behavior Survey (YRBS) data of participants in grades 9-12 from 2007-2017 (N=17,691). Logistical regression models were run to assess effects of varying cannabis policy and risk or protective behaviors on cannabis use outcomes: (1) Lifetime use; (2) Past 30-day; and (3) Past 30-day heavy use. The enactment of cannabis policies was not associated with greater odds of youth reporting Lifetime and Past 30-day cannabis use behaviors. Any adult-support [heavy use OR=0.43 (95% CI=0.37,0.50), p<.001], better grades [heavy use OR=0.25 (95% CI=0.21,0.29), p<.001], and being heterosexual [heavy use OR=0.42 (95% CI=0.34,0.51), p<.001] were associated with lower odds of all cannabis use outcomes. Multiple risk factors broadly categorized under: risky sexual behaviors, non-heterosexual orientation, weapon carrying/exposure, hopelessness and suicidality behaviors, driving behaviors, and disability were associated with greater odds of cannabis use. Sensitivity analyses showed only one risk behavior was moderate by cannabis policy enactment. Results suggest that cannabis prevention efforts should not occur in a silo, rather evidence-based models for reducing risky behaviors generally may have the largest impact. Building and supporting relationships with trusted adults for youth at higher risk should be emphasized.
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Birnbaum, Benjamin, Gaetano Borriello, Abraham D. Flaxman, Brian DeRenzi, and Anna R. Karlin. "Using behavioral data to identify interviewer fabrication in surveys." In CHI '13: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2013. http://dx.doi.org/10.1145/2470654.2481404.

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Звіти організацій з теми "Behavioral Risk Factors Surveys"

1

Agüero, Jorge M., and Verónica Frisancho. Systematic Bias in Sensitive Health Behaviors and Its Impact on Treatment Effects: An Application to Violence against Women. Inter-American Development Bank, April 2017. http://dx.doi.org/10.18235/0007031.

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Violence against women takes place mainly in the private sphere and isperpetrated by people close to the victim. These features can introduce large biases into its reporting in specialized surveys as well as to the authorities. We test for the existence of measurement error in the reporting of such violence using experimental methods in Peru, a country with several specialized surveys but one lacking reliable administrative data. We ask women to report past experiences of violent acts by randomly assigning them one of two questionnaires, one that replicates current surveys and another that relies on list experiments to provide a more private setting. We find no significant reporting bias on average. However, we uncover strong evidence of non-random measurement error by education level. For highly educated women, an increase in privacy leads to higher reporting of violence, while no change is observed for the less educated. The increase is large enough to reverse the education gradient in violence. We discuss how nonclassical error in the outcome variable affects the estimation of the role of risk factors on violence. In particular, randomized controlled trials underperform instrumental variables estimates and, under certain conditions, the former could lead to even larger biases compared to cross-sectional studies.
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2

Lichtenberg, Frank. The Quality of Medical Care, Behavioral Risk Factors, and Longevity Growth. Cambridge, MA: National Bureau of Economic Research, June 2009. http://dx.doi.org/10.3386/w15068.

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3

Brittain, Stuart. PPR2024 - Calculation of Local Equilibrium Correction Factors for the 2022 Skid Resistance Surveys. TRL, January 2024. http://dx.doi.org/10.58446/rhnm7278.

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National Highways manages skid resistance on their network by carrying out single annual skid resistance surveys. This data is used to identify sites where there is a need for an investigation to identify if a resurfacing treatment would help mitigate the risk of skidding collisions. This data also feeds into the KPI for Pavement Condition. This document discusses the calculation of the correction factors to seasonally correct the 2022 surveys.
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4

Kolencik, Marian. A critical evaluation of the risk indicators of criminal conduct involving CBRN and explosive materials - Behavioural and observational analysis in crime detection and investigation. ISEM Institute, n.p.o., October 2023. http://dx.doi.org/10.52824/vzrb5079.

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Terrorist attacks using explosives and CBRN (Chemical, Biological, Radiological and Nuclear) materials have been present throughout history. While the frequency of CBRN terrorist attacks is relatively low compared to those with explosives and other types of weapons, it is crucial to treat the efforts of both terrorist organizations and individuals with appropriate gravity in order to avert catastrophic consequences. Identifying warning signs that indicate criminal behaviour is crucial for preventing planned crimes or terrorist attacks, and there is a need for more precise coverage of potential risk indicators related to CBRN and explosive crimes. This research aimed at examining and scrutinizing possible warning signs associated with planning and conducting terrorist attacks using CBRN and explosive materials. The research was implemented in three phases. First, comprise the systematic literature review. In the second phase, the case studies and CCTV records from past cases from Europe, USA, Australia and Asia were analysed and the aim was to create a list of risk indicators and categories for future reference by developing a methodological tool. The last phase represented a survey in which the practitioners from European Law enforcement and Intelligence Agencies critically assessed the list of risk indicators and their categories created based on the previous two steps of the research. The last goal was to gain the agreement and endorsement of law enforcement officials from different European nations regarding the validity and importance of recognized risk indicators and their categories, as well as their ranking for use in operational tasks, investigations, and training. The majority of the respondents found the identified categories and risk indicators as reliable and relevant for their operational activities and investigations. For the second research question, the survey results prioritized categories of risk indicators that are most suitable for the detection tactics of investigators and intelligence officers. The third research question examined the ease of observing identified risk indicators, with the category of technological detection/air sampling alarm risk indicators ranking as the easiest to detect. Finally, the survey found that the identified risk indicators are useful for training activities of security entities. Several final comments and recommendations from participants were also discussed, emphasizing the importance of considering multiple factors when identifying risk indicators and the value of the comprehensive list of identified risk indicators. The publication also examines some terrorist theories, the advantages, limitations, and the ongoing debate surrounding the use of profiling in protective security.
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5

Rancans, Elmars, Jelena Vrublevska, Ilana Aleskere, Baiba Rezgale, and Anna Sibalova. Mental health and associated factors in the general population of Latvia during the COVID-19 pandemic. Rīga Stradiņš University, February 2021. http://dx.doi.org/10.25143/fk2/0mqsi9.

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Description The goal of the study was to assess mental health, socio-psychological and behavioural aspects in the representative sample of Latvian general population in online survey, and to identify vulnerable groups during COVID-19 pandemic and develop future recommendations. The study was carried out from 6 to 27 July 2020 and was attributable to the period of emergency state from 11 March to 10 June 2020. The protocol included demographic data and also data pertaining to general health, previous self-reported psychiatric history, symptoms of anxiety, clinically significant depression and suicidality, as well as a quality of sleep, sex, family relationships, finance, eating and exercising and religion/spirituality, and their changes during the pandemic. The Center for Epidemiologic Studies Depression scale was used to determine the presence of distress or depression, the Risk Assessment of Suicidality Scale was used to assess suicidal behaviour, current symptoms of anxiety were assessed by the State-Trait Anxiety Inventory form Y. (2021-02-04) Subject Medicine, Health and Life Sciences Keyword: COVID19, pandemic, depression, anxiety, suicidality, mental health, Latvia
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6

Olson, Hannah, Madeleine Haas, and Megan L. Kavanaugh. State-Level Contraceptive Use and Preferences: Estimates from the US 2022 Behavioral Risk Factor Surveillance System. Guttmacher Institute, March 2024. http://dx.doi.org/10.1363/2024.300488.

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Contraception plays a key role in people’s realization of their sexual and reproductive health and well-being. The factors that shape contraceptive behaviors are complex and dynamic, and there is growing recognition among reproductive health service providers and advocates that contraceptive service delivery must prioritize patients’ values and preferences to help them exercise their reproductive autonomy.1 Similarly, research and public health surveillance systems that measure not only contraceptive use and method selection but also contraceptive preferences are best suited to evaluate service quality and track progress toward meeting the needs of reproductive-aged people. Building on findings from two previous Guttmacher Institute reports describing Behavioral Risk Factor Surveillance System (BRFSS) data on contraceptive use in 20172 and 2019,3 this report uses data from the 2022 BRFSS to provide an expanded set of state-level estimates of contraceptive use and preferences. In 2022, scientists at Guttmacher collaborated with the Centers for Disease Control and Prevention (CDC) to modify existing questions and include additional questions in the BRFSS family planning module. The resulting data set allows analysis not only of people’s primary contraceptive method use but also of multiple method use, overall contraceptive preferences and method-specific contraceptive preferences. Data collection for the 2022 BRFSS occurred during a pivotal time for reproductive health and rights due to the US Supreme Court’s June 2022 ruling in Dobbs v. Jackson Women’s Health Organization, which overturned the federal right to abortion. A wave of restrictive state laws and policies have followed, and as legislation concerning sexual and reproductive health care becomes increasingly politicized, state-level policies are key determinants of the quality and accessibility of contraceptive care.4 In this environment, state-level data, especially on person-centered measures of contraceptive preferences, are of paramount importance in understanding how shifts in reproductive health policy and service delivery are felt in the population. This report finds that contraceptive use is high across all reporting jurisdictions, but there is considerable variation in whether people are realizing preferences for which contraceptives they use or whether to use at all. People who report having used a method that requires some interaction with a provider, for example, are more likely than people using exclusively provider-independent or over-the-counter methods to report their current method as their preferred method of contraception. Throughout this report, we will explore how patterns of contraceptive use and preferences vary by type of method or combination of methods and jurisdiction. Given the elevated barriers to contraception that young people have historically experienced,5,6 we also highlight differences between two age-groups (18–24 and 25–49) where possible.*
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7

Gao, Hui, Chen Gong, Shi-chun Shen, Jia-ying Zhao, Dou-dou Xu, Fang-biao Tao, Yang Wang, and Xiao-chen Fan. A systematic review on the associations between prenatal phthalate exposure and childhood glycolipid metabolism and blood pressure: evidence from epidemiological studies. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, June 2022. http://dx.doi.org/10.37766/inplasy2022.6.0111.

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Review question / Objective: The present systematic review was performed to obtain a summary of epidemiological evidence on the relationships of in utero exposure to phthalates with childhood glycolipid metabolism and blood pressure. Condition being studied: Childhood cardiovascular risk factors including blood pressure, lipid profile (e.g., triglycerides, total cholesterol, HDL−C, LDL−C) and glucose metabolism (e.g., insulin, insulin resistance, insulin sensitivity, glucose) were the interested outcomes. Eligibility criteria: In brief, epidemiological studies including cohort study, case-control study and cross-sectional survey were screened. Studies regarding relationships between human exposure to organophosphate esters and neurotoxicity were possible eligible for the present systematic review. The adverse neurodevelopmental outcomes included development of cognition, behavior, motor, brain change, emotion, etc. Studies that did not meet the above criteria were not included in this systematic review.
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8

Axenrot, Thomas, Erik Degerman, and Anders Asp. Seasonal variation in thermal habitat volume for cold-water fish populations : implications for hydroacoustic survey design and stock assessment. Department of Aquatic Resources, Swedish University of Agricultural Sciences, 2023. http://dx.doi.org/10.54612/a.5i05rb1iu1.

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For accurate stock assessment, survey design must consider fish behavior and ecology. Yearlings and older individuals of the commercially exploited cold-water species vendace (Coregonus albula) are found below the metalimnion through periods of thermal stratification. These stratification periods generally last for 3-4 months, from the middle of summer to early autumn. In lakes with heterogeneous distribution of depths, the habitat volume for vendace vary drastically within and across years, which affects the distribution and population densities. Variable thermal habitat volumes, with food and oxygen depletion in the hypolimnion through the period of stratification, may act as a population size-regulating factor. Using hydroacoustics in combination with trawl data and temperature profiles, we examined the distribution of vendace through annual periods of thermal stratification. We found that yearling and older vendace these periods were confined to cold-water habitat volumes representing less than 10 % of the total water volume of Lake Mälaren, the third largest lake in Sweden. By introducing stratification to the design of hydroacoustic surveys supported by midwater trawling, seasonal aggregations of fish in temporally restricted thermal habitat volumes can be used to lower survey effort and improve the precision in estimates of population size. Temporally restricted habitat volumes may induce risks for the populations to over-fishing and sensitivity to environmental changes that potentially may call for directed management.
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9

Orlando, María Beatriz, and Molly Pollack. Microenterprises and Poverty: Evidence from Latin America. Inter-American Development Bank, February 2000. http://dx.doi.org/10.18235/0008864.

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This study assesses poverty in the microenterprise sector in Latin America, presenting stylized facts on potential poverty risk factors at the household and individual levels. The goal of the paper is to describe the main trends in the region and the scope of the paper is limited to a descriptive analysis of poverty risk factors based on the nature of the data set (household surveys). Therefore, the study does not explore the causes of poverty in the MIC sector or the factors that determine whether an individual works in a microenterprise. The end result is a comparison of poverty rates in the MIC sector with the rest of the economy; and also the determination of the poverty rate of households with microenterprise income, as compared to the poverty rate of other households.
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10

RRS/Schirmer. PR-339-093708-R01 Survey for Control Room Operators and Operations Specialists Usability Study. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), June 2010. http://dx.doi.org/10.55274/r0010714.

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The purpose of the Human Factors Analysis of Pipeline Monitoring and Control Operations project (Battelle, 2008) was to develop procedures that could be used by liquid pipeline operators to assess and manage the human factors risks in their control rooms that may adversely affect pipeline monitoring and control operations. Two paper surveys were developed: 1. A survey for Control Room Operators (CROs) that consists of 138 questions designed to understand the human factors that affect the CRO�s ability to safely and efficiently monitor and control pipeline operations in the control room. The survey asks CROs to estimate how frequently each of the 138 issues occur in the control room environment. The results of the survey are intended to identify issues that require improvement. 2. A survey for Operations Specialists (OSs) that ranks the �Risk Likelihood� of each of the same 138 questions. A process was developed that multiplies the median scores from the CRO and OS survey questions to provide a risk score for each of the 138 questions.
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