International Journal of Health Management and Tourism

2458-9608

Dilaver TENGİLİMOĞLU

10.31201/ijhmt.1123098

THE EFFECTS OF HEALTH BEHAVIORS ON SELECTED HEALTH INDICATOR

https://orcid.org/0000-0002-3134-8830

Çıraklı

Ümit

IZMIR BAKIRCAY UNIVERSITY

https://orcid.org/0000-0003-4326-2070

Çetin

Emine

IZMIR BAKIRCAY UNIVERSITY

07 27 2022

7 2 217 230 05 29 2022 07 01 2022

2016

International Journal of Health Management and Tourism

Aim: This study was conducted with the aim of investigating the effects of health behaviors onhealth indicators.Methods: In this context, data of 38 OECD countries between 2005-2018 were analyzed by PanelARDL cointegration analysis. Crude mortality rate, infant mortality rate, cancer mortality rate andlow birth weight rate were used as health indicators, while calorie, protein, sugar and fat supplyand alcohol consumption were used as independent variables.Results: As a result of the analysis, it was found that calorie supply affected positively the cancermortality and low birth weight rate and the crude mortality rate negatively; protein supply affectscrude mortality rate positively and others negatively; sugar supply positively affects all 4 healthindicators; fat supply affects cancer mortality and low birth weight rate negatively and infant mortality rate positively; alcohol consumption negatively affects crude mortality and infantmortality 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.

health behaviors health indicators OECD countries Panel ARDL Model

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