Relevant bibliographies by topics / Health behavior

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Health behavior'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 August 2024

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Journal articles on the topic "Health behavior"

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Kulbok, Pamela A., Kimberly F. Carter, Joan H. Baldwin, Mattia J. Gilmartin, and Bessie Kirkwood. "The Multidimensional Health Behavior Inventory." Journal of Nursing Measurement 7, no. 2 (January 1999): 177–95. http://dx.doi.org/10.1891/1061-3749.7.2.177.

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Gaps in knowledge about what constitutes healthy and risky behaviors for young people hinder successful health promotion intervention strategies. With the development of appropriate instruments, behaviors can be measured and interventions can be implemented to improve health outcomes. The structure of a new health behavior instrument, the Multidimensional Health Behavior Inventory (MHBI), was explored with data from 1,077 college students, ages 18 to 24 years. Factor analysis of 116 health behavior questions yielded 7 factor-based scales with 57 items: diet (13 items), substance use (10 items), safety (9 items), checkup (9 items), social (6 items), stress (6 items), and exercise (4 items). Evaluation of the 7 behavior scales of the MHBI using subgroups defined by age, gender, and race will contribute to an understanding of health behaviors of older adolescents and young adults and will provide directions for research and clinical interventions.
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Sobota, Kristen Finley, Joshua Blackwell, Brittany Dye, Kanika Kapoor, Elizabeth Roediger, and Micah Jared Sobota. "Mental Health Outreach at Community Behavior Health Centers." Health 06, no. 07 (2014): 531–40. http://dx.doi.org/10.4236/health.2014.67072.

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Chin, Jessie, Ece Üreten, and Catherine Burns. "Health Behavior Nudging Through Health Information Exposure and Information Search." Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 8, no. 1 (September 2019): 126. http://dx.doi.org/10.1177/2327857919081029.

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As the Internet has become one of the dominant sources of health information, online health information plays an important role for patients to acquire health knowledge and regulate their health behavior (European Commission, 2014). Researchers suggested different ways to nudge public health behavior through environments and policies (Marteau et al., 2011); few studies had explored the potential to use online health information environment to nudge health behavior. While there was established evidence showing the individual differences in online health information search behavior across the lifespan (e.g., Chin et al., 2009; Sharit et al., 2008), the current study was to examine the nudging effects on health behavior through online health information exposure and search. An online mixed-factor-design experiment was conducted on 136 adults across the lifespan (Mean age=49.79, SD=16.00). We examined two kinds of nudging routes, (1) health information exposure (manipulated by the experimenters), and (2) health information search (decided by the participants), on two kinds of health behaviors varying in the costs of taking these health behaviors. Target health behaviors included, (1) self-related health behavior: participants were asked to take a break for doing a stretch (low cost) or a walk (high cost) after long sitting; (2) self-unrelated health behavior: participants were asked to have researchers to donate to the rare disease association through writing down the date (low cost) or a 100-word endorsement article (high cost). In the experiment, each participant was assigned to read four topics (3 articles under each topic) and answer the questions after each health topic. The questions varied in difficulties, which participants could decide to answer the questions based on their own knowledge, their memory from reading, or searching the answers online. To manipulate health information exposure, half of the participants were assigned to read the online articles related to the target health behaviors (such as the harms of long sitting and the target rare disease). Participants were not disclosed about the study goals at the beginning. They were not told that the study goal was to examine whether they took the target health behaviors or not, but to examine how adults learn from online health information. To measure the actions of target health behaviors, for the self-related health behavior, after roughly 40 minutes of the study, participants were requested to take a break for 10 minutes. For the self-unrelated health behavior, at the end of the study, participants were asked whether they would like to show their support to a rare disease association. The manipulations in the costs of health behaviors were assigned in counterbalanced order. Logistic regressions were used to examine the effects of nudging routes and costs of actions on two kinds of target health behaviors. Results suggested that mere information exposure did not affect the likelihood to take the target health behaviors regardless of its relatedness to self-interests or costs of actions. Further, for self-related health behavior, adults were more likely to take actions after a more deliberate engagement with the information - through information search. For health behavior that was unrelated to self-interests, participants were more likely to take actions after they searched the information about this rare disease and only when the costs of actions were low. This study has shown the potentials and limitations of health nudging in different health behaviors, and has its implications on designing effective health nudging strategies on different health behaviors.
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Turunen, Kaisa, Kristiina Helander, Kari J. Mattila, and Markku Sumanen. "Health behavior after intrahepatic cholestasis of pregnancy." Health 05, no. 01 (2013): 96–101. http://dx.doi.org/10.4236/health.2013.51013.

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Neumann, Till, Nico Reinsch, Stefan Esser, Peter Krings, Thomas Konorza, Tanja Woiwoid, Michael Miller, Norbert Brockmeyer, and Raimund Erbel. "Smoking behavior of HIV-infected patients." Health 02, no. 08 (2010): 913–18. http://dx.doi.org/10.4236/health.2010.28135.

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Graham, Rodger Gary, and Gareth I. Martin. "Health Behavior." American Journal of Preventive Medicine 43, no. 4 (October 2012): 451–55. http://dx.doi.org/10.1016/j.amepre.2012.06.016.

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Choi, Seung Hee, and Sonia A. Duffy. "Analysis of Health Behavior Theories for Clustering of Health Behaviors." Journal of Addictions Nursing 28, no. 4 (2017): 203–9. http://dx.doi.org/10.1097/jan.0000000000000195.

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Lippke, Sonia, and Jochen P. Ziegelmann. "Health Behavior and Health Behavior ChangeTheories and Evidence." Applied Psychology 57, no. 4 (October 2008): 541–43. http://dx.doi.org/10.1111/j.1464-0597.2008.00338.x.

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Stanojević, Dragana, Miljana Pavićević, Tijana Živković, Olivera Radović, and Biljana Jaredić. "Health beliefs and health anxiety as predictors of COVID-19 health behavior: Data from Serbia." Zbornik radova Filozofskog fakulteta u Pristini 52, no. 3 (2022): 301–16. http://dx.doi.org/10.5937/zrffp52-38184.

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The end of 2019 and the beginning of 2020 were marked by the appearance of the virus SARS-CoV-2, which led to a health crisis around the world. Health preventive behavior was highlighted as, at that time, the only form of prevention of the spread of the disease. Factors that will lead people to adhere to the recommended forms of behavior have become the subject of research in various scientific disciplines. The Model of Health Belief is one of the dominant frameworks for studying health behaviors, and thus behaviors related to COVID-19. Health anxiety and beliefs about illness and preventive behavior are the starting point for considering the level at which individuals adhere to the recommended measures. The main goal of this research was to examine a model in which health anxiety and health beliefs are predictors of preventive health behavior in relation to COVID-19. The sample consisted of 420 respondents, 66.3% of whom were women. They completed an online questionnaire comprising the following instruments: Short Health Anxiety Inventory, COVID-19 Health Belief Scale, and COVID-19 Health Behavior Scale with two subscales-Protection in Social Contacts and Hygiene. After controlling for effects of gender and presence of chronic disease, perceived benefit of preventive behavior and the observed barrier can predict protection in social contacts. Hygiene can be predicted by the perceived benefit of preventive behavior and the perceived barrier. Health anxiety has not been shown to be a significant predictor of health behavior. The paper discusses the theoretical and practical implications of the obtained results. The obtained results partially support the Model of Health Beliefs. In order to increase the degree to which individuals adhere to health behaviors, the benefits of preventive behaviors should be emphasized while the barriers should be reduced.
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Whitehead, Brenda R. "Health behaviors in older adults: Considering age, affect, and attitudes." Journal of Health Psychology 22, no. 13 (February 29, 2016): 1652–57. http://dx.doi.org/10.1177/1359105316631814.

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Identifying psychological factors associated with engagement in healthy behaviors in later life is a key to effective behavior interventions. In all, 204 adults ( Mage = 80) took a questionnaire assessing objective and perceived health, positive affect and negative affect, aging attitudes, and three classes of health behaviors: eating/nutrition, exercise, and general health behavior. Regression models found better eating behavior was best explained by older age, more exercise was best explained by more positive affect, and better general lifestyle behavior was best explained by worse perceived health. Programs promoting health behaviors in older adults can utilize the findings to tailor interventions to the health behavior of interest.
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Dissertations / Theses on the topic "Health behavior"

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Baej, Khalifa Ali. "Social structure, health orientation and health behavior." PDXScholar, 1985. https://pdxscholar.library.pdx.edu/open_access_etds/3426.

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An attempt has been made to examine the relationship between social structure and medical factors in a framework which links cosmopolitanism to health orientation and behavior. Specifically, this study has attempted to investigate the variations in health knowledge, beliefs, attitudes and behavior among individuals whose social structure varies in terms of cosmopolitanism.
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KELLY, CYNTHIA WEEKS. "MEASURING HEALTH BEHAVIOR CHANGE." University of Cincinnati / OhioLINK, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1006199575.

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Bolin, Rachel C. "Mobile Health Technology and Health Behavior: A Look into the Workplace Setting." UKnowledge, 2013. http://uknowledge.uky.edu/cld_etds/5.

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Obesity is a widespread topic across the country as healthcare costs continue to rise. The field of health communication encompasses many efforts made by scholars and those working in health education and promotion to help individuals live healthier lives. As technology continues to evolve, e-health and mobile health programs are being explored as creative avenues for this endeavor. This study takes a mixed methods approach consisting of an experiment and a series of in-depth interviews. Based on the Theory of Planned Behavior, the experiment examines the effects of a popular mobile phone application, “my fitness pal,” on the users’ attitude, subjective norms and perceived behavioral control of health behaviors. The interviews investigate how and why the mobile application has health benefits. There were 35 University of Kentucky employees who participated, and then a few follow-up interviews were conducted. Although, several hypotheses were not supported by the data, the results show there was an increase in the overall health statuses of participants encouraged to interact with co-workers about the mobile application through social media as well as face-to-face communication. Several applications can be taken from this study in order to improve future mobile health applications and workplace health and wellness programs.
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Gipson-Kendrick, Zoe Elizabeth. "Parents and Health Behavior Change: A Review of the Role of Parents’ Behavioral Intentions for Health Behavior Change in Their Children." UNF Digital Commons, 2019. https://digitalcommons.unf.edu/etd/906.

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Objective: To examine the existing literature on the relation between contextual and health factors that influence parent intention for child health behavior change, focusing on the importance of a strong theoretical background and measures that match the proposed theory, and to determine the use of intention in the proposed sample of articles. Method: A preliminary search was conducted, seeking out interventions and programs that target nutrition and/or physical activity in relation to childhood obesity prevention using PsycINFO and MedLine databases. This search totaled 29 studies to be included in the final review. Results: Ten articles studied intention as a dependent variable, twelve with intention as in independent variable, and seven with intention as a mediating variable. A majority of the articles included a theoretical background (86.2%), while 13.8% of the articles did not include any. Seven overall constructs of interest were established: intention/goal, attitudes, self-efficacy, behavior, social support, knowledge/awareness, and norms. Effect sizes for significant pathways were collected/calculated for the specified variables. Finally, behavioral intention was measured inconsistently in each article, some providing reliability, validity, and/or references for the scales measuring intention, while some did not. Conclusions: Childhood obesity prevention and intervention literature is inconsistent in the use of theory, strong measurement, and incorporation of other fields of psychology.
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Kamanga, Ursula. "Investigating how health apps influence college students’ health behavior." Thesis, Kansas State University, 2016. http://hdl.handle.net/2097/32942.

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Master of Science
Department of Journalism and Mass Communications
Louise Benjamin
This study examined how health apps influence college students’ health behavior, because about 50 percent of college students do not comply with physical activity recommendations. Because mobile applications (apps) are popular among college students, they hold promise for promoting behavior change in physical activity. This research was conducted through an online questionnaire distributed to a randomized sample of 18-35 year-old Mid-Western university students. Questionnaire data were analyzed from 237 surveys using Pearson’s Product Moment correlation (r) and Pearson’s chi-square test (χ2). This study showed that college students generally perceived health apps to be useful with slightly over half of the participants using health apps (52.3 percent). Bivariate analysis indicated positive attitudes towards health apps and positive attitudes towards physical activity (p < .001). The amount of experience using health apps yielded a positive relationship with attitudes towards physical activity (p = .008). In addition, having strong beliefs towards physical activity indicated a positive correlation with engaging in physical activity (p < .001). This study provides valuable information regarding attitudes towards health apps and the intention to use health apps for physical activity. While health apps do not trigger an intention to do physical activity, having “belief strength” and positive attitudes towards physical activity increases the likelihood for engaging in physical activity. Health communication intervention strategies and health practitioners can use this information to educate individuals about the advantages for their health that can be associated with using health apps.
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Sato, Chisaki. "Social and behavioral aspect of mother's health behaviors and neonatal health." Scholar Commons, 2004. http://scholarcommons.usf.edu/etd/2972.

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The results of this study indicate that two groups of mothers share a relatively similar socioeconomic status, knowledge of health and hygiene, and have similar health-seeking behaviors. The mothers' lack of knowledge and their local view of illnesses seemed to embody questionable newborn care related to breastfeeding practices and oil applications to newborns. Three psychosocial factors that appeared to contribute to the mother's health-seeking behaviors were attitudinal factors (this consisted of favorable or unfavorable perceptions toward services based on the mother's prior experiences or familiarity with service), social pressures (opinions from others and the mother's competing responsibilities), and self-efficacies accessibility, availability, and affordability). In addition, the external factor of poverty in the slum settlements was also a significant factor which determined the mother's health seeking behaviors. The implications of these findings are discussed in further detail, which are then followed by a set of recommendations for future health interventions designed to reduce the risk of sepsis neonatorum in urban communities. This study underscores the benefits of integrating the perspectives of anthropology and public health to further the understanding of the neonatal health problem. Finally, the need for future studies is addressed as it is necessary to further understand the existing local practices and beliefs in relation to the risks of sepsis neonatorum.
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Webb, Jon R., Jameson K. Hirsch, Preston L. Visser, and Kenneth G. Brewer. "Forgiveness and Health: Assessing the Mediating Effect of Health Behavior, Social Support, and Interpersonal Functioning." Digital Commons @ East Tennessee State University, 2013. https://dc.etsu.edu/etsu-works/669.

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Religiousness and spirituality are important to most Americans and while beneficial associations between forgiveness and health are consistently observed, little is known regarding the mechanism of association. Cross-sectional multiple mediation-based analyses of associations between dimensions of forgiveness and physical and mental health were conducted using a sample of 363 undergraduate students from rural Southern Appalachia. Controlling for demographic variables (i.e., gender, age, education, ethnicity, and marital status) and lifetime religiousness, multivariable analyses reflected associations of forgiveness of self and forgiveness of others, but not feeling forgiven by God, with physical health status, somatic symptoms, mental health status, and psychological distress. All such associations operated through health behavior and/or social support; however, only in the context of forgiveness of self did such associations also operate through interpersonal functioning (problems). While forgiveness of self and forgiveness of others each appear to have a robust indirect relationship with health, mediation-based associations involving forgiveness of self were nearly twice as frequent. It may be that forgiveness of self is relatively more important to health-related outcomes.
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Lee, Sang Tak. "Understanding Customers\' Healthy Eating Behavior in Restaurants using the Health Belief Model and Theory of Planned Behavior." Diss., Virginia Tech, 2013. http://hdl.handle.net/10919/50580.

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A large portion of the American public is overweight and many are classified as being obese.  Obesity and unhealthy eating behavior are partially related to the increase in our society""s consumption of foods away from home. Accordingly, the Food and Drug Administration (FDA) has suggested new menu labeling regulations to help educate customers on healthy items among menu selections. Few studies have tried to understand customers"" healthy eating behavior in restaurants. Therefore, the purpose of this study was to understand and to predict customers"" healthy eating behavior in casual dining restaurants, using the theory of planned behavior and the health belief model.
The results showed that attitude toward healthy eating behavior and subjective norm positively influenced intention to engage in healthy eating behavior in casual dining restaurants while perceived behavioral control did not. For healthy eating behavior in casual dining restaurants, perceived threat, self-efficacy, response to provision of nutrition information (cue to action) were significant predictors. However, perceived benefits and barriers were not statistically significant. Also, the study found that subjective nutrition knowledge influenced customers"" response to provision of nutrition information whereas objective nutrition knowledge did not. Customers"" healthy eating behavior positively influenced their willingness to patronize a restaurant that offers healthy menu items, which means that those who try to eat healthy menu items in casual dining restaurants are willing to revisit restaurants where healthy menu choices are available and to recommend the restaurants to others. Finally, this study generated socio-demographic profiles related to healthy eating behavior in casual dining restaurants and willingness to patronize a restaurant that provides healthy menu choices. The results revealed that education levels and BMI (Body Mass Index) status influenced customers"" healthy eating behavior. Also, customers"" willingness to patronize a restaurant that provides healthy menu items differed based on gender, marital status, and education levels.

Ph. D.
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Sirois, Fuschia M., A. Wood, and Jameson K. Hirsch. "Gratitude and Health Behaviors: The Role of Future Orientation." Digital Commons @ East Tennessee State University, 2016. https://dc.etsu.edu/etsu-works/610.

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Background: Gratitude is an orientation towards the positive in life that increasingly is shown to have relevance for physical health. Less is known about how gratitude relates to health behaviours. The self-regulation resource model (SRRM) posits that future-orientation is a resource that promotes selfregulation of health behaviours. Accordingly, we meta-analytically tested whether gratitude was associated with the practice of health-promoting behaviours, and if future-orientation explained the association. Methods: Data from 14 samples (N = 4,111) from our labs were included in the meta-analysis as there was no published data. All samples completed measures of state or trait gratitude, and a measure of health behaviour frequency; six samples completed a measure of future orientation/self-continuity. Random effects metaanalysis was conducted on the correlations of gratitude with health behaviours, with subgroup analyses. Indirect effects through FO were tested and meta-analysed. Findings: Across all 14 samples, gratitude was significantly associated with more frequent health behaviours, avg. r = .261, [.22, .31]. The effects did not vary significantly across sample type (student/community), or gratitude measure (state/trait). Mediation analyses revealed significant indirect effects of gratitude on health behaviours through future-orientation in the six samples tested (N = 2,828), with an average index of mediation of beta = .068 [.05, .08]. The direct effects remained significant. Discussion: Findings are consistent with the SRRM and demonstrate that gratitude is associated with the practice of health-promoting behaviours, due in part to future-orientation. Further research is warranted to more fully investigate the potential of gratitude for promoting health behaviours.
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Rimstad, Kathryn O'Regan. "Health Behavior among College Students: Assessing Help-Seeking Behaviors in University Wellness Center Clients." Available to subscribers only, 2009. http://proquest.umi.com/pqdweb?did=1967969451&sid=2&Fmt=2&clientId=1509&RQT=309&VName=PQD.

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Books on the topic "Health behavior"

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Gochman, David S., ed. Health Behavior. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4899-0833-9.

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Dorothy, Dusek, ed. Changing health behavior. Scottsdale, Ariz: Gorsuch Scarisbrick, 1988.

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P, Elder John, ed. Motivating health behavior. Albany, N.Y: Delmar Publishers, 1994.

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A, Krasnegor Norman, Arasteh Josephine D. 1925-, and Cataldo Michael F, eds. Child health behavior: A behavioral pediatrics perspective. New York: Wiley, 1986.

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Iorio, Colleen Konicki Di. Measurement in Health Behavior. New York: John Wiley & Sons, Ltd., 2006.

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Hillbrand, Marc, and Reuben T. Spitz, eds. Lipids, health, and behavior. Washington: American Psychological Association, 1997. http://dx.doi.org/10.1037/10259-000.

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National Institutes of Health (U.S.). Behavior patterns and health. Bethesda, Md: U.S. Department of Health and Human Services, Public Health Service, National Institutes of Health, 1985.

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B, Anderson Norman, ed. Encyclopedia of health & behavior. Thousand Oaks, Calif: Sage Publications, 2004.

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National Institutes of Health (U.S.), ed. Behavior patterns and health. Bethesda, Md: U.S. Dept. of Health and Human Services, Public Health Service, National Institutes of Health, 1985.

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ERIC Clearinghouse on Teaching and Teacher Education., ed. Promoting health behavior change. [Washington, DC: ERIC Clearinghouse on Teaching and Teacher Education, American Association of Colleges for Teacher Education, 1998.

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Book chapters on the topic "Health behavior"

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Gochman, David S. "Health Behavior." In Health Behavior, 3–17. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4899-0833-9_1.

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Feuerstein, Michael, Elise E. Labbé, and Andrzej R. Kuczmierczyk. "Health Behavior." In Health Psychology, 237–77. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4899-0562-8_8.

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Weiss, Gregory L., and Denise A. Copelton. "Health Behavior." In The Sociology of Health, Healing, and Illness, 138–64. 10th edition. | New York, NY : Routledge, 2020.: Routledge, 2020. http://dx.doi.org/10.4324/9780429279447-6.

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Weiss, Gregory L., and Lynne E. Lonnquist. "Health Behavior." In The Sociology of Health, Healing, and Illness, 141–70. Ninth edition. | New York, NY : Routledge, 2017.: Routledge, 2017. http://dx.doi.org/10.4324/9781315626901-ch6.

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Copelton, Denise A., and Gregory L. Weiss. "Health Behavior." In The Sociology of Health, Healing, and Illness, 108–38. 11th ed. New York: Routledge, 2023. http://dx.doi.org/10.4324/9781003359838-5.

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Feuerstein, Michael, Elise E. Labbé, and Andrzej R. Kuczmierczyk. "Illness Behavior." In Health Psychology, 279–314. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4899-0562-8_9.

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Gochman, David S. "Health Behavior Research." In Health Behavior, 409–24. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4899-0833-9_23.

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Kirscht, John P. "The Health Belief Model and Predictions of Health Actions." In Health Behavior, 27–41. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4899-0833-9_2.

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Baumgart, Alice J., and Edith A. Costello. "Health Behavior Research and the Training of Health Professionals." In Health Behavior, 363–79. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4899-0833-9_20.

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Wolinsky, Fredric D. "Sick-Role Legitimization." In Health Behavior, 181–92. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4899-0833-9_10.

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Conference papers on the topic "Health behavior"

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Luo, YeJiao, and RenGuo Gong. "CHINESE ELDERLY HEALTH BEHAVIOR AND ORAL HEALTH." In World Congress on Medical and Pharmaceutical Research (WCMPR 2017). Volkson Press, 2018. http://dx.doi.org/10.26480/wcmpr.01.2018.32.33.

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Eka Fayuning Tjomiadi, Cynthia, and Pattama Surit. "Health Seeking Behavior: Concept Analysis." In 2nd Sari Mulia International Conference on Health and Sciences 2017 (SMICHS 2017) � One Health to Address the Problem of Tropical Infectious Diseases in Indonesia. Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/smichs-17.2017.46.

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YANG, TIANZHI, and PETER HAGEDORN. "Dynamical Behavior of a Metamaterial Beam." In Structural Health Monitoring 2017. Lancaster, PA: DEStech Publications, Inc., 2017. http://dx.doi.org/10.12783/shm2017/14069.

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Indriani, Frida, Pawito Pawito, and Eti Poncorini Pamungkasari. "Factors Affecting Healthy Behavior among Primary School Children: Application of Health Belief Model." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.02.63.

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Background: Schools can be an effective institution for developing healthy practices in children. Children in primary schooling age can learn and get used to specific healthy behaviors, such as washing hands, brushing teeth, eating vegetables, etc. This study aimed to determine factors affecting healthy behavior among primary school children using Helth Belief Model. Subjects and Method: A cross-sectional study was conducted at 25 primary schools in Nganjuk, East Java, from August to December 2019. A sample of 200 primary school students aged 6-12 years was selected by stratified random sampling. The dependent variable was healthy behavior. The independent variables were perceived susceptibility, perceived seriousness, perceived benefit, cues to action, and self-efficacy. The data were collected by questionnaire and analyzed by a multiple linear regression run on Stata 13. Results: Healthy behavior in primary school students was improved by high perceived susceptibility (b= 1.11; 95% CI= 0.36 to 1.85; p= 0.004), high perceived seriousness (b= 0.66; 95% CI= -0.06 to 1.38; p= 0.075), strong perceived benefit (b= 0.64; 95% CI= -0.86 to 1.36; p= 0.084), cues to action (b= 0.98; 95% CI= 0.26 to 1.71; p= 0.008), and strong self-efficacy (b= 1.4; 95% CI= 0.74 to 2.20; p<0.001). Conclusion: Healthy behavior in primary school students is improved by high perceived susceptibility, high perceived seriousness, strong perceived benefit, cues to action, and strong self-efficacy. Keywords: clean and healthy behavior, health belief model Correspondence: Frida Indriani. Masters Program in Public Health, Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta 57126, Central Java, Indonesia. Email: nersfrida15@gmail.com. Mobile: 082226327646 DOI: https://doi.org/10.26911/the7thicph.02.63
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Ramli, Abdul Haeba. "Employee Innovation Behavior in Health Care." In International Conference on Management, Accounting, and Economy (ICMAE 2020). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/aebmr.k.200915.008.

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Banos, Oresti, Jaehun Bang, Taeho Hur, Muhammad Hameed Siddiqi, Huynh-The Thien, Le-Ba Vui, Wajahat Ali Khan, Taqdir Ali, Claudia Villalonga, and Sungyoung Lee. "Mining human behavior for health promotion." In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2015. http://dx.doi.org/10.1109/embc.2015.7319529.

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Panduwinata, Annisa Widya, Bhisma Murti, and Pawito Pawito. "Theory of Planned Behavior on the Determinants of Smoking Behavior among Adolescents." In The 5th Intenational Conference on Public Health 2019. Masters Program in Public Health, Universitas Sebelas Maret, 2019. http://dx.doi.org/10.26911/theicph.2019.02.10.

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Putri, Santy Irene, Dian Jayantari Putri K. Hedo, and Rayi Apriananda. "The Theory of Planned Behavior on Adolescents Sexual Behavior in Malang, East Java." In The 8th International Conference on Public Health 2021. Masters Program in Public Health, Universitas Sebelas Maret, 2021. http://dx.doi.org/10.26911/icphpromotion.fp.08.2021.05.

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TOPAC, O. TANAY, CODY GRAY, AMRITA KUMAR, and FU-KUO CHANG. "IFLYNET: INFERRING UAV FLIGHT FROM WING BEHAVIOR." In Structural Health Monitoring 2023. Destech Publications, Inc., 2023. http://dx.doi.org/10.12783/shm2023/36894.

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We introduce iFlyNet, a novel flight state awareness system that is robust, lowprofile, and more reliable in harsh conditions than conventional methods. The system interprets the global flight state of a UAV by monitoring multimodal structural characteristics of its wings, where aerodynamics are predominant. A microfabricated transducer array consisting of temperature compensated strain and piezoelectric sensors captures the wing’s static and dynamic stress profiles at multiple spatial locations. This data informs our deep one-dimensional convolutional neural network-based sensor fusion algorithm designed to run on flight vehicle computer at near real-time speeds. Wind tunnel experiments with the sensors installed on a single wing demonstrate that iFlyNet can accurately predict the flight state variables of airspeed and angle of attack across the flight envelope of the UAV. In addition, we also show the benefits of our system compared to status-quo techniques through accurate predictions of lift and drag forces and high-precision tracking of stall occurrence at highly variable environmental conditions. By nearly matching the readings of traditional state measurement devices at a fraction of weight as well as providing accurate predictions of flight performance and safety-critical metrics, our system offers a unique paradigm for aircraft state identification.
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Ibrahim Ali, Alaa. "Health behavior evaluation in women with multiple pregnancies." In The 8th International Conference of Biotechnology, Environment and Engineering Sciences. SRO media, 2020. http://dx.doi.org/10.46617/icbe8004.

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Objective: The main purpose of this study is to evaluate the impact of the health behavior in pregnant Iraqi women in multiple pregnancies, and which one had characteristic influence in examined Iraqi women. Patients and Methods:The study was carried out in Al-Yermook Hospital for a period of one year from July 2019 to July 2020. It was included 40 pregnant women in multiple pregnancies, completed the 22 weeks gestational age, with taking their verbal consent for the participation in this investigation. Selected questioner used to collect data, as well as using Juczyński’s Health Behavior Inventory questionnaire to evaluate the health behaviors of recruited women involved in this study. Results:The heath behaviors rate was high particularly for Iraqi pregnant women in multiple pregnancies, as the health behaviors indicators were high among all the identified categories. Conclusion: The higher health behavior rate of pregnant women in multiple pregnancies, as the preventative behaviors had the highest rate.
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Reports on the topic "Health behavior"

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Mocan, Naci, and Duha Tore Altindag. Education, Cognition, Health Knowledge, and Health Behavior. Cambridge, MA: National Bureau of Economic Research, March 2012. http://dx.doi.org/10.3386/w17949.

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Baej, Khalifa. Social structure, health orientation and health behavior. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.5305.

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Capdevila, Lluis, Josep-Maria Losilla, Carla Alfonso, Tony Estrella, and Jaume F. Lalanza. Physical Activity and Planetary Health: a scoping review protocol. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, June 2022. http://dx.doi.org/10.37766/inplasy2022.6.0028.

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Review question / Objective: The aim of this scoping review is to scope the body of literature, clarify concepts, investigate research conduct and to identify knowledge gaps about the physical activity (PA) behavior in a context of planetary health. The proposed study will review the existing literature considering PA beyond the scope of mere health behaviour, focusing on its potential impacts on planetary health and sustainable development. We will differentiate the PA behavior of the PA facilities or context like green-space or blue-space. Specific objectives are to provide knowledge about: 1. Which PA behaviors are sustainable for the planet and which are not. 2. What are the characteristics of sustainable PA behaviors. 3. What are the positive and negative impacts of PA behaviors on planetary health. Condition being studied: In this case, it is studied how the active lifestyle and the practice of physical activities, exercise or sports of people affect planetary health.
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Conti, Gabriella, and Pamela Giustinelli. For better or worse? Subjective expectations and cost-benefit trade-offs in health behavior-offs in health behaviour-offs in health behaviour. The IFS, May 2023. http://dx.doi.org/10.1920/wp/ifs.2023.1923.

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Darden, Michael, and Mario Macis. Trust and Health Care-Seeking Behavior. Cambridge, MA: National Bureau of Economic Research, January 2024. http://dx.doi.org/10.3386/w32028.

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Von Mering, Otto. Army Family Health Seeking Behavior and Satisfaction. Fort Belvoir, VA: Defense Technical Information Center, July 1988. http://dx.doi.org/10.21236/ada206144.

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Arduini, Tiziano, Alberto Bisin, Onur Özgür, and Eleonora Patacchini. Dynamic Social Interactions and Health Risk Behavior. Cambridge, MA: National Bureau of Economic Research, September 2019. http://dx.doi.org/10.3386/w26223.

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Gustman, Alan, and Thomas Steinmeier. Employer Provided Health Insurance and Retirement Behavior. Cambridge, MA: National Bureau of Economic Research, March 1993. http://dx.doi.org/10.3386/w4307.

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Von Mering, Otto. Army Family Health Seeking Behavior and Satisfaction. Fort Belvoir, VA: Defense Technical Information Center, August 1989. http://dx.doi.org/10.21236/ada226452.

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Von Mering, Otto. Army Family Health Seeking Behavior and Satisfaction. Fort Belvoir, VA: Defense Technical Information Center, August 1990. http://dx.doi.org/10.21236/ada229131.

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