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Determinants of the Obesity ofAdults in Turkey: An Empirical Study

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  • Seda Åžengul
  • Kenan Lopcu
  • Salih Cam

Abstract

Obesity is arapidly increasing health problem in Turkey.In this study, it was aimed to determine how adults who are obese in Turkey are affected by variables such as age, gender, marital status, education, income, as well as health status, physical activity time, adult diabetes, emotion, depressive, exercise, walking, cycling. The used econometric model is a two-stage Heckman model.While the probit model in the first stage of the model is estimated for specifying the variables which affect the probability of adults being obese/overweight, the Tobitmodel in the second stage is estimated to determine the effects of these variables on the adult body mass index (BMI). Data from Health Surveys of the Turkish Statistical Institute for the year 2016 are used in the study.The results show that the probability of being obese and BMI increase in age at a decreasing rate. On the other hand, the level of education decreases the probability of being obese and body mass index. Males are more likely to be overweight and obese thanfemales, whereas the BMI of overweight-obese females is higher than the BMI of overweight-obese males. Inaddition,being marriedbeingmiddleorhighincome,beingdiabetic,beingdepressedandfeelingworthlessincrease the probability of being overweight-obeseandcausean increaseinBMI level,whilephysicalactivitiessuchasdailyexercisesandtaking regular walkscauseadecreaseinthe likelihoodof beingoverweight-obeseand BMI in Turkey

Suggested Citation

  • Seda Åžengul & Kenan Lopcu & Salih Cam, 2020. "Determinants of the Obesity ofAdults in Turkey: An Empirical Study," Review of Applied Socio-Economic Research, Pro Global Science Association, vol. 20(2), pages 60-71, December.
    • Handle: RePEc:rse:wpaper:v:20:y:2020:i:2:p:60-71
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    References listed on IDEAS

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    1. Karaoglan, Deniz & Tansel, Aysit, 2017. "Determinants of Obesity in Turkey: A Quantile Regression Analysis from a Developing Country," MPRA Paper 76250, University Library of Munich, Germany.
    2. Steven T. Yen, 2012. "Gender differences, physical activity and body weight," Applied Economics, Taylor & Francis Journals, vol. 44(30), pages 3921-3934, October.
    3. Tomas J. Philipson & Richard A. Posner, 1999. "The Long-Run Growth in Obesity as a Function of Technological Change," Working Papers 9912, Harris School of Public Policy Studies, University of Chicago.
    4. García Villar, Jaume & Quintana-Domeque, Climent, 2009. "Income and body mass index in Europe," Economics & Human Biology, Elsevier, vol. 7(1), pages 73-83, March.
    5. Tansel, Aysit & Karaoglan, Deniz, 2014. "Health behaviors and education in Turkey," MPRA Paper 57322, University Library of Munich, Germany, revised 15 Jul 2014.
    6. Darius Lakdawalla & Tomas Philipson, 2007. "Labor Supply and Weight," Journal of Human Resources, University of Wisconsin Press, vol. 42(1).
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Body mass index; Health; Heckman Model; Obesity; Physical activity; Sample selection bias; Socio-economic factors; Turkey;
    All these keywords.

    JEL classification:

    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • D01 - Microeconomics - - General - - - Microeconomic Behavior: Underlying Principles
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

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