THE EFFECTS OF HEALTH BEHAVIORS ON SELECTED HEALTH INDICATOR
THE EFFECTS OF HEALTH BEHAVIORS ON SELECTED HEALTH INDICATOR
Aim: This study was conducted with the aim of investigating the effects of health behaviors on
health indicators.
Methods: In this context, data of 38 OECD countries between 2005-2018 were analyzed by Panel
ARDL cointegration analysis. Crude mortality rate, infant mortality rate, cancer mortality rate and
low birth weight rate were used as health indicators, while calorie, protein, sugar and fat supply
and alcohol consumption were used as independent variables.
Results: As a result of the analysis, it was found that calorie supply affected positively the cancer
mortality and low birth weight rate and the crude mortality rate negatively; protein supply affects
crude mortality rate positively and others negatively; sugar supply positively affects all 4 health
indicators; fat supply affects cancer mortality and low birth weight rate negatively and infant mortality rate positively; alcohol consumption negatively affects crude mortality and infant
mortality rates, and positively affects cancer mortality and low birth weight rates.
Conclusion: As a result, it was concluded that the effects of health behaviors on health indicators,
except for sugar supply, are mixed.
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- Adler, N. E., Cutler, D. M., University, H., Fielding, J. E., & Koh, H. K. (2016). Addressing Social
Determinants of Health and Health Disparities A Vital Direction for Health and Health Care
About the Vital Directions for Health and Health Care Series. In Perspectives.
- Adler, N. E., & Stead, W. W. (2015). Patients in context — EHR capture of social and behavioral
determinants of health. New England Journal of Medicine, 372(8), 698–701.
https://doi.org/10.1056/NEJMp1413945
- Ahn, H., & Kyoung Park, Y. (2021). Sugar-sweetened beverage consumption and bone health: a
systematic review and meta-analysis. Nutrition Journal, 20, 1–16.
https://doi.org/10.1186/s12937-021-00698-1
Barton, L. R., Parke, K. A., & White, C. L. (2019). Screening for the Social and Behavioral
Determinants of Health at a School-Based Clinic. Journal of Pediatric Health Care, 33(5),
537–544. https://doi.org/10.1016/J.PEDHC.2019.02.002
- Berkowitz, S. A., Seligman, H. K., Meigs, J. B., & Basu, S. (2018). Food Insecurity, Healthcare
Utilization, and High Cost: A Longitudinal Cohort Study. The American Journal of
Managed Care, 24(9), 399–404.
- Binukumar, B., & Mathew, A. (2005). Dietary fat and risk of breast cancer. World Journal of
Surgical Oncology, 3(1), 1–7. https://doi.org/10.1186/1477-7819-3-45/COMMENTS
- Bray, G. A., & Popkin, B. M. (2014). Dietary sugar and body weight: Have we reached a crisis in
the epidemic of obesity and diabetes?: Health be damned! Pour on the sugar. Diabetes Care,
37(4), 950–956. https://doi.org/10.2337/dc13-2085
- Choi, I. (2001). Unit root tests for panel data. Journal of International Money and Finance, 20(2),
249–272. https://doi.org/10.1016/S0261-5606(00)00048-6
- Choudhary, A. K., Choudhary, A., Tiwari, S. C., & Dwivedi, R. (2013). Factors associated with
low birth weight among newborns in an urban slum community in Bhopal. Indian Journal
of Public Health, 57(1), 20–23. https://doi.org/10.4103/0019-557X.111362
- Christensen, O., & Christensen, E. (1988). Fat consumption and schizophrenia. Acta Psychiatrica
Scandinavica, 78(5), 587–591.
- Cirakli, U., Dogan, I., & Gozlu, M. (2021). The Relationship Between COVID-19 Cases and
COVID-19 Testing: a Panel Data Analysis on OECD Countries. Journal of the Knowledge
Economy. https://doi.org/10.1007/S13132-021-00792-Z
- Çıraklı, Ü., & Yıldırım, H. H. (2019). The Impacts of Economic Crisis on The Public Health in
Turkey: An ARDL Bounds Testing Approach. Hacettepe Sağlık İdaresi Dergisi, 22(2),
259–280.
- Clancy, H. A., Zhu, Z., Gordon, N. P., Kipnis, P., Liu, V. X., & Escobar, G. J. (2022). Prospective
evaluation of social risks, physical function, and cognitive function in prediction of nonelective rehospitalization and post-discharge mortality. BMC Health Services Research,
22(1), 1–11. https://doi.org/10.1186/S12913-022-07910-W
- Denton, M., & Walters, V. (1999). Gender differences in structural and behavioral determinants of
health: an analysis of the social production of health. Social Science & Medicine, 48(9),
1221–1235. https://doi.org/10.1016/S0277-9536(98)00421-3
- Healthy People. (2022). Determinants of Health. Healthy People 2020.
- Hoffman, J. R., & Falvo, M. J. (2004). Protein – Which is Best? Journal of Sports Science &
Medicine, 3(3), 118.
- Im, K. S., Pesaran, M. H., & Shin, Y. (2003). Testing for unit roots in heterogeneous panels.
Journal of Econometrics, 115(1), 53–74. https://doi.org/10.1016/S0304-4076(03)00092-7
- Levin, A., Lin, C. F., & Chu, C. S. J. (2002). Unit root tests in panel data: asymptotic and finitesample properties. Journal of Econometrics, 108(1), 1–24. https://doi.org/10.1016/S0304-
4076(01)00098-7
- Lustig, R. H., Schmidt, L. A., & Brindis, C. D. (2012). The toxic truth about sugar. Nature, 482,
27–29. https://doi.org/10.1038/482027a
- Maddala, G. S., & Wu, S. (1999). A Comparative Study of Unit Root Tests with Panel Data and a
New Simple Test. Oxford Bulletin of Economics and Statistics, 61(S1), 631–652.
- McGinnis, J. M., Williams-Russo, P., & Knickman, J. R. (2002). The case for more active policy
attention to health promotion. Health Affairs, 21(2), 78–93.
https://doi.org/10.1377/hlthaff.21.2.78
- Mokdad, A. H., Marks, J. S., & Stroup, D. F. (2004). Actual Causes of Death in the United States,
2000 Topic collections The Immediate vs the Important Related Letters. Journal of the
American Medical Association, 291(10), 1238–1245.
https://doi.org/10.1001/jama.291.10.1238
- Na, M., Dou, N., Liao, Y., Rincon, S. J., Francis, L. A., Graham-Engeland, J. E., Murray-Kolb, L.
E., & Li, R. (2022). Daily Food Insecurity Predicts Lower Positive and Higher Negative
Affect: An Ecological Momentary Assessment Study. Frontiers in Nutrition, 9, 1–11.
https://doi.org/10.3389/fnut.2022.790519
- O’Flanagan, C. H., Smith, L. A., McDonell, S. B., & Hursting, S. D. (2017). When less may be
more: Calorie restriction and response to cancer therapy. BMC Medicine, 15(1), 1–9.
https://doi.org/10.1186/s12916-017-0873-x
- Pedroni, P. (1999). Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple
Regressors. Oxford Bulletin of Economics and Statistics, 61(S1), 653–670.
- Pesaran, M. H., Shin, Y., Smith, R. P., & Hashem, M. (1999). Pooled Mean Group Estimation of
Dynamic Heterogeneous Panels. Journal of the American Statistical Association, 94, 621–
634. https://doi.org/10.1080/01621459.1999.10474156
- Pickens, C. M., Pierannunzi, C., Garvin, W., & Town, M. (2019). Surveillance for Certain Health
Behaviors and Conditions Among States and Selected Local Areas — Behavioral Risk
Factor Surveillance System, United States, 2015. In Morbidity and mortality weekly report.
Surveillance summaries (Vol. 67, Issue 9). Centers for Disease Control and Prevention
(CDC). https://doi.org/10.15585/MMWR.SS6709A1
- Room, R., Babor, T., & Rehm, J. (2005). Alcohol and public health. The Lancet, 365(9458), 519–
530. https://doi.org/10.1016/S0140-6736(05)17870-2
- Wahrburg, U. (2004). What are the health effects of fat? European Journal of Nutrition,
43(SUPPL. 1), 6–11. https://doi.org/10.1007/s00394-004-1103-9
WHO. (2017). Determinants of health.
- Wilkinson, R., & Marmot, M. (2003). Social determinants of health: the solid facts, 2nd ed (en)
- World Health Organization Regional Office for Europe. (2001). The First action plan for food and
nutrition policy : WHO European Region 2000-2005.
- Yılmaz, M. S., & Atak, N. (2014). The evaluation of risk of breast cancer from the perspective of
nutritional factors. Türkiye Halk Sağlığı Dergisi, 12(1), 51