Türkiye’de Cinsiyetlere Göre Eğitim ve Gelir Seviyesinin Vücut Kitle İndeksine Etkisi: Kantil Regresyon Yöntemi

Year 2024, , 357 - 375, 31.05.2024

Bahadır Köseoğulları , Halil Tunca

https://doi.org/10.29023/alanyaakademik.1243496

Abstract

Çalışmanın amacı Türkiye’de eğitim ve gelir seviyesinin obezite üzerindeki etkisini araştırmak ve bu etkinin cinsiyetlere göre farklılaşıp farklılaşmadığını tespit etmektir. Bunun için TÜİK tarafından yayımlanan 2019 yılına ait Türkiye Sağlık Araştırmaları anket verileri kullanılmıştır. Kantil regresyon yöntemleriyle bulunan tahmin sonuçlarına göre alt kantillerde kadınların Vücut Kitle İndeksi (VKİ) daha düşükken üst kantillerde bu durum tersine dönmektedir. Eğitim düzeyi arttıkça VKİ azalmakta, gelir artıkça VKİ artmaktadır. Ancak değişkenler arasındaki bu ilişki doğrusal değildir. Modele kontrol değişkenleri olarak katılan medeni durum, çalışma durumu ve yaş değişkenleri de anlamlı bulunmuştur. Eğitim kadınların Vücut Kitle İndeksi (VKİ) değerleri üzerinde düşürücü bir etkiye sahip iken erkeklerin VKİ değerlerini etkilememektedir. Gelir seviyesinde yaşanan artışların ise her iki cinsiyet grubunda da obeziteye yakalanma ihtimalini arttırdığı tespit edilmiştir.

Keywords

Eğitim, Gelir, Obezite, Kantil Regresyon, Türkiye

The Effect of Education and Income Level According to Gender on Body Mass Index in Turkey: Quantile Regression Method

Abstract

The aim of the study is to investigate the effect of education and income levels on obesity in Turkey and to determine whether this effect differs according to the gender. For this purposes, 2019 Turkey Health Research Survey data published by TURKSTAT was used. According to the estimation results of quantile regression, being a woman has lowering effect on Body Mass Index (BMI) in the lower quantiles, while this situation is reversed in the upper quantiles. As education level increases BMI decreases, and as income increases BMI increases. However, this relationship between variables is not linear. Marital status, employment status, and age variables, which were included in the model as control variables, were also found to be significant. While education has a reducing effect on woman’s BMI values, it does not affect men’s BMI values. It has been determined that increases in income level increase the likelihood of obesity in both gender groups.

Keywords

Education, Income, Obesity, Quantile Regression, Turkey

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