Türkiye'de Farklı Obezite Prevalans Grupları ve Risk Faktörleri Arasındaki İlişkinin Panel Rastgele Etki Sıralı Probit Modeli ile Belirlenmesi


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Baygutalp F., Kılıç Baygutalp N., Bilgiç A., Urak F.

Pharmata, cilt.3, sa.2, ss.41-49, 2023 (Hakemli Dergi)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 3 Sayı: 2
  • Basım Tarihi: 2023
  • Doi Numarası: 10.5152/pharmata.2023.1271131
  • Dergi Adı: Pharmata
  • Sayfa Sayıları: ss.41-49
  • Atatürk Üniversitesi Adresli: Evet

Özet

Objective: The aim of this study was to analyze the sociodemographic and economic characteristics

of families or individuals that can affect the normal weight, overweight, obesity, and severe

obesity of the individual determined by the body mass index using the panel random-effect

ordered probit model in Turkey.

Methods: The analysis used the survey data from the 2016 Turkey Health Research created by the

Turkish Statistical Institute. The choice of the random-effect model was confirmed by a statistical

test.

Results: We found that many sociodemographic and economic factors of family members or

family significantly affect the probability of obesity groups. For example, considering the change

in the age scale of obesity, the probability of being at normal weight decreases as the ages of

family members increase, and this condition triggers being overweight, obese, and severe obese

as the age progresses. As the family income increases, the individuals become more obese, while

the education level of the individuals and the time devoted to walking for more than an hour a day

show that the individuals are successful in their maintaining a normal weight.

Conclusion: Obesity is an important problem in Turkey and should be tackled effectively. It has

been determined that the sociodemographic and economic factors of the individual significantly

affect the probability of obesity. Social risk groups that are positively associated with obesity

should be identified, and awareness training should be given to each group with appropriate

methods.