Determinants of obesity in Turkey: appetite or disease?

Aim: This study examines the factors affecting obesity prevalence among adult individuals in Turkey using data obtained from the National Health Survey of the Turkish Statistical Institute (TSI). Subjects and methods: Nowadays obesity is one of the world's major health problems. Although the proport...

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Publicado en:Journal of Public Health: From Theory to Practice (2198-1833) Vol. 27; no. 2; pp. 151 - 162
Autores principales: Demir, Okan, Demir, Nuray, Bilgic, Abdulbaki
Formato: Artículo
Publicado: Springer Nature Apr2019
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Apr2019
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      pub: Springer Nature
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        135796607
        10.1007/s10389-018-0940-6
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        atl: Determinants of obesity in Turkey: appetite or disease?
      aug:
        au:
          Demir, Okan
          Demir, Nuray
          Bilgic, Abdulbaki
        affil: Faculty of Agriculture, Department of Agricultural Economics, Atatürk University, 25240, Erzurum, Turkey
      su:
        Türkiye
        Obesity risk factors
        Age distribution
        Mental depression
        Food habits
        Marital status
        Metropolitan areas
        Obesity
        Sex distribution
        Educational attainment
        Prevention of obesity
        Chi-squared test
        Diet
        Probability theory
        Statistics
        Secondary analysis
        Sedentary lifestyles
        Statistical models
        Descriptive statistics
      sug:
        subj:
          Obesity risk factors
          Age distribution
          Mental depression
          Food habits
          Marital status
          Metropolitan areas
          Obesity
          Sex distribution
          Educational attainment
          Türkiye
          Prevention of obesity
          Chi-squared test
          Diet
          Probability theory
          Statistics
          Secondary analysis
          Sedentary lifestyles
          Statistical models
          Descriptive statistics
      keyword:
        Bivariate probit model
        Households
        Turkey
        Bivariate probit model
        Households
        Turkey
      ab: Aim: This study examines the factors affecting obesity prevalence among adult individuals in Turkey using data obtained from the National Health Survey of the Turkish Statistical Institute (TSI). Subjects and methods: Nowadays obesity is one of the world's major health problems. Although the proportion of young people remains very high in Turkey, the prevalence of obesity is increasing daily. In this study, we used the National Health Survey data collected by the TSI in 2012. The research was carried out on 14,400 households in 12 regions of Turkey. The study covered socio-demographic characteristics of families and household heads, but included only observations made by household heads. We tested a bivariate probit model with sample selection, which was compatible with the data-generating process to exclude the inherent selection problem. We then applied a simple binary probit model to assess the likelihood of being obese among those who reported their body measures (height and weight). Results: The results indicated that living in a city, getting married, being female, being middle-aged, being depressed and having lower education levels increased the probability of obesity prevalence among Turkish subjects, while less obesity prevalence was associated with being male, being well educated, being a regular walker, being a smoker and living in a rural area. Conclusions: When combating obesity in Turkey, social risk groups that are more likely to be obese should be identified and awareness training should be carried out for each group with suitable objectives and programs. The aim of such programs should be to encourage adequate and balanced nutrition and regular physical activity and to teach individuals about the adverse effects of obesity on health (cardiovascular disease, diabetes, some types of cancer, hypertension, etc.).
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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