测试土耳其的肥胖库兹涅茨曲线

Q2 Medicine

Obesity Medicine Pub Date : 2024-02-19 DOI:10.1016/j.obmed.2024.100537

Muhammed Benli , Yasin Acar , Semih Baş

{"title":"测试土耳其的肥胖库兹涅茨曲线","authors":"Muhammed Benli , Yasin Acar , Semih Baş","doi":"10.1016/j.obmed.2024.100537","DOIUrl":null,"url":null,"abstract":"<div><h3>Aim</h3><p>This paper tests for the existence of Obesity Kuznets Curve (OKC); that is, an inverse U-shape pattern between income and obesity (as measured by Body Mass Index).</p></div><div><h3>Methods</h3><p>We employ linear probability model and logistic regression using cross-sectional data obtained from “2019 Türkiye Health Research” provided by the Turkish Statistical Institute (TUIK).</p></div><div><h3>Results</h3><p>Our findings reveal that OKC hypothesis holds for Türkiye such that the likelihood of obesity first increases as income rises and after reaching a maximum point, it starts to decrease. Furthermore, the study reveals that obesity differs according to gender, so women are more likely to be obese than men. Our empirical study also reveals that marriage, education, age, and physical activity are closely associated with the likelihood of being obese in Türkiye.</p></div><div><h3>Conlusions</h3><p>There is a non-linear relationship between income and obesity. The study also reveals that obesity differs according to gender and marriage, education, age, and physical activity are closely associated with the likelihood of being obese in Türkiye.</p></div>","PeriodicalId":37876,"journal":{"name":"Obesity Medicine","volume":"47 ","pages":"Article 100537"},"PeriodicalIF":0.0000,"publicationDate":"2024-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Testing obesity Kuznets curve for Türkiye\",\"authors\":\"Muhammed Benli , Yasin Acar , Semih Baş\",\"doi\":\"10.1016/j.obmed.2024.100537\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Aim</h3><p>This paper tests for the existence of Obesity Kuznets Curve (OKC); that is, an inverse U-shape pattern between income and obesity (as measured by Body Mass Index).</p></div><div><h3>Methods</h3><p>We employ linear probability model and logistic regression using cross-sectional data obtained from “2019 Türkiye Health Research” provided by the Turkish Statistical Institute (TUIK).</p></div><div><h3>Results</h3><p>Our findings reveal that OKC hypothesis holds for Türkiye such that the likelihood of obesity first increases as income rises and after reaching a maximum point, it starts to decrease. Furthermore, the study reveals that obesity differs according to gender, so women are more likely to be obese than men. Our empirical study also reveals that marriage, education, age, and physical activity are closely associated with the likelihood of being obese in Türkiye.</p></div><div><h3>Conlusions</h3><p>There is a non-linear relationship between income and obesity. The study also reveals that obesity differs according to gender and marriage, education, age, and physical activity are closely associated with the likelihood of being obese in Türkiye.</p></div>\",\"PeriodicalId\":37876,\"journal\":{\"name\":\"Obesity Medicine\",\"volume\":\"47 \",\"pages\":\"Article 100537\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-02-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Obesity Medicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2451847624000071\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Obesity Medicine","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2451847624000071","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}

引用次数: 0

摘要

目的本文检验肥胖库兹涅茨曲线（OKC）是否存在，即收入与肥胖（以身体质量指数衡量）之间是否存在反 U 型模式。方法我们利用土耳其统计研究所（TUIK）提供的 "2019 Türkiye Health Research "横截面数据，采用线性概率模型和逻辑回归。结果我们的研究结果表明，OKC 假设在土耳其成立，即随着收入的增加，肥胖的可能性首先增加，在达到最高点后，肥胖的可能性开始下降。此外，研究还发现，肥胖因性别而异，女性比男性更容易肥胖。我们的实证研究还显示，在土耳其，婚姻、教育、年龄和体育活动与肥胖的可能性密切相关。结论收入与肥胖之间存在非线性关系。研究还显示，在土耳其，肥胖因性别而异，婚姻、教育、年龄和体育活动与肥胖的可能性密切相关。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Testing obesity Kuznets curve for Türkiye

Aim

This paper tests for the existence of Obesity Kuznets Curve (OKC); that is, an inverse U-shape pattern between income and obesity (as measured by Body Mass Index).

Methods

We employ linear probability model and logistic regression using cross-sectional data obtained from “2019 Türkiye Health Research” provided by the Turkish Statistical Institute (TUIK).

Results

Our findings reveal that OKC hypothesis holds for Türkiye such that the likelihood of obesity first increases as income rises and after reaching a maximum point, it starts to decrease. Furthermore, the study reveals that obesity differs according to gender, so women are more likely to be obese than men. Our empirical study also reveals that marriage, education, age, and physical activity are closely associated with the likelihood of being obese in Türkiye.

Conlusions

There is a non-linear relationship between income and obesity. The study also reveals that obesity differs according to gender and marriage, education, age, and physical activity are closely associated with the likelihood of being obese in Türkiye.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Obesity Medicine Medicine-Public Health, Environmental and Occupational Health

CiteScore

5.50

自引率

0.00%

发文量

审稿时长

40 days

期刊介绍： The official journal of the Shanghai Diabetes Institute Obesity is a disease of increasing global prevalence with serious effects on both the individual and society. Obesity Medicine focusses on health and disease, relating to the very broad spectrum of research in and impacting on humans. It is an interdisciplinary journal that addresses mechanisms of disease, epidemiology and co-morbidities. Obesity Medicine encompasses medical, societal, socioeconomic as well as preventive aspects of obesity and is aimed at researchers, practitioners and educators alike.