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Regular Articles

Vol. 22 No. 3 (2020)

Examining the Prevalence of Obesity in Croatia: The Story of the Mediterranean Diet

DOI
https://doi.org/10.3280/ecag3-2020oa11036
Submitted
aprile 13, 2020
Published
2020-12-31

Abstract

The objective of this study is to establish a causal relationship between the Mediterranean diet (MD) and various measures of overweightness using the Croatian Adult Health Survey 2003 data. Our results show that among three measures of obesity (body mass index, waist-to-hip ratio (WHR) and obesity (BMI ≥ 30), we found statistically the most convincing relationship between the BMI and the MD. Our results show that an increase in the Mediterranean diet aggregate index by 10% reduces the BMI by about 0.9%. When the MD10 index is replaced with the set of its ten constituent food groups, as a group, these food variables are jointly statistically significant, most of them have expected (negative) signs, and some of them are also individually significant. For the other two overweight measurements (WHR and obesity) we found that the impact of MD aggregate index is insignificant but when the index is replaced by its ten constituent food elements, these are jointly statistically significant in explaining the variation in the obesity measures.

References

  1. Afshin, A. et al. (2019). Health effects of dietary risks in 195 countries, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Institute of Health Metrics and Evaluation, doi: 10.1016/S0140-6736(19)30041-8.
  2. Akerlof, G.A. & Kranton, R.E. (2000). Economics and Identity. Quarterly Journal of Economics, 115, 715-754.
  3. Atkin, D. (2013). Trade, Tastes, and Nutrition in India. American Economic Review, 103(5), 1629-63, doi: 10.1257/aer.103.5.1629.
  4. Bimbo, F., Bonanno, A., Nardone, G. & Viscecchia, R. (2015). The Hidden Benefits of Short Food Supply Chains: Farmers’ Markets Density and Body Mass Index in Italy. International Food and Agribusiness Management Review, 18(1), 1-16, doi: 10.22004/ag.econ.197756.
  5. Buckland, G., Bach, A. & Serra-Majem, L. (2008). Obesity and the Mediterranean diet: a systematic review of observational and intervention studies. Obesity Reviews, 9, 582-593, doi: 10.1111/j.1467-789X.2008.00503.x.
  6. Cawley, J. (2015). An economy of scales: A selective review of obesity’s economic causes, consequences, and solution. Journal of Health Economics, 43, 244-268.
  7. Costa-Font, J., Fabbri, D. & Gil, J. (2010). Decomposing cross-country differences in levels of obesity and overweight: Does the social environment matter? Social Science and medicine, 70, 1185-1193.
  8. Cutler, D.M., Glaeser, E.L. & Shapiro, J.M. (2003). Why Have Americans Become More Obese? Journal of Economic Perspectives, 17(3), 93-118.
  9. Dubois, P., Griffith, R. & Nevo, A. (2014). Do Prices and Attributes Explain International Differences in Food Purchases? American Economic Review, 104(3), 832-867.
  10. Eurostat - Statistics Explained: “Overweight and Obesity – BMI Statistics”. -- http://ec.europa.eu/eurostat/statistics-explained/index.php/Overweight_and_obesity_-_BMI_statistics; accessed February 2018.
  11. Kahneman, D. (2011). Thinking Fast and Slow. New York: Farrar, Straus and Giroux.
  12. Keys, A., Menotti, A., Karvonen, M.J., Aravanis, C., Blackburn, H., Buzina, R., Djordjevic, B.S., Dontas, A.S., Fidanza, F., Keys, M.H., Kromhout, D., Nedeljkovic, S., Punsar, S., Seccareccia, F. & Toshima, H. (1986). The diet and 15-year death rate in the seven countries study. American Journal of Epidemiology, 124, 903-915.
  13. Levinson, A. (2016). How Much Energy Do Building Energy Codes Save? Evidence from California Houses. American Economic Review, 106(10), 2867-2894.
  14. MarketData Enterprises (2009). The Weight Loss and Diet Control Market. 10th edition. Farmington, CT.: MarketData Enterprises, Inc.
  15. Music Milanovic, S., Uhernik, A.I., & Fister, K. (2009). Health Behavior Factors Associated with Obesity in the Adult Population in Croatia. Collegium Antropologicum, 33, Suppl. 1, 67-73.
  16. National Institute of Diabetes and Digestive and Kidney Diseases (2008). Longitudinal Assessment of Bariatric Surgery (labs). NIH Publication, 4-5573, November.
  17. Ogden, C.L., Carroll, M.D., Kit, B.K. & Flegal, K.M. (2014). Prevalence of childhood and adult obesity in the United States, 2011-2012. Journal of American Medical Association, 311(8), 806-814.
  18. Ruhm, C.J. (2012). Understanding Overeating and Obesity. Journal of Health Economics, 31, 781-796.
  19. Serra-Majem, L. & Helsing, E. (1993). Changing patterns of fat intake in Mediterranean countries. European Journal of Clinical Nutrition, 47(Suppl. 1), S13-20.
  20. STATA (2013). STATA Treatment-Effects Reference Manual: Potential Outcomes/Counterfactual Outcomes, Release 13, StataCorp, College Station TX, 2013.
  21. Swinburn, B., Sacks, G. & Ravussin, E. (2009). Increased food energy supply is more than sufficient to explain the US epidemic of obesity. American Journal of Clinical Nutrition, 90, 1453-1456.
  22. Traversy, G. & Chaput, J.-P. (2015). Alcohol Consumption and Obesity: An Update. Current Obesity Reports, 4(1), 122-130, doi: 10.1007/s13679-014-0129-4.
  23. Uhernik, A.I., Vuletic, S., Kern, J., Deckovic-Vukres, V., Mihel, S., Erceg, M. & Pristas I. (2012). The Croatian Adult Health Cohort Study (CroHort) – Background, Methodology & Perspectives. Collegium Antropologicum, 36, Suppl. 1, 3-7.
  24. Vuletic, S., Polašek, O., Kern, J., Strnad, M. & Baklaić, Ž. (2009). Croatian Adult Health Survey – A Tool for Periodic Cardiovascular Risk Factors Surveillance. Collegium Antropologicum, 33, Suppl. 1, 3-9.
  25. World Health Organization (2008). Waist Circumference and Waist to Hip Ratio: Report of a WHO Expert Consultation. Geneva: World Health Organization; December.

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