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2
Sleep, Lifestyle Behaviors, and Cardiometabolic Health Markers in Overweight/Obese Young Adults: A Pilot Study Using the SenseWear® Armband.超重/肥胖青年成人的睡眠、生活方式行为与心脏代谢健康指标:一项使用SenseWear®臂带的初步研究
Biol Res Nurs. 2018 Oct;20(5):541-548. doi: 10.1177/1099800418791047. Epub 2018 Aug 2.
3
Dietary Patterns and Overweight/Obesity: A Review Article.饮食模式与超重/肥胖:一篇综述文章。
Iran J Public Health. 2017 Jul;46(7):869-876.
4
Dietary fiber sources consumption and overweight among Polish male students. A cross-sectional study.波兰男学生膳食纤维来源的摄入量与超重情况。一项横断面研究。
Rocz Panstw Zakl Hig. 2017;68(2):131-141.
5
Normal weight adiposity in a Swedish population: how well is cardiovascular risk associated with excess body fat captured by BMI?瑞典人群中的正常体重肥胖:体重指数(BMI)对与体脂过多相关的心血管风险的反映程度如何?
Obes Sci Pract. 2015 Oct;1(1):50-58. doi: 10.1002/osp4.4. Epub 2015 Sep 15.
6
Health Behavior and Metabolic Risk Factors Associated with Normal Weight Obesity in Adolescents.青少年正常体重肥胖相关的健康行为与代谢风险因素
PLoS One. 2016 Aug 25;11(8):e0161451. doi: 10.1371/journal.pone.0161451. eCollection 2016.
7
Obesity Among Young Adults in Developing Countries: A Systematic Overview.发展中国家青年成年人中的肥胖问题:系统综述
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8
Does Fish Oil Have an Anti-Obesity Effect in Overweight/Obese Adults? A Meta-Analysis of Randomized Controlled Trials.鱼油对超重/肥胖成年人有抗肥胖作用吗?一项随机对照试验的荟萃分析。
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9
Impact of snacking pattern on overweight and obesity risk in a cohort of 11- to 13-year-old adolescents.零食模式对一组11至13岁青少年超重和肥胖风险的影响。
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Physical activity and inactivity patterns in India - results from the ICMR-INDIAB study (Phase-1) [ICMR-INDIAB-5].印度的身体活动与不活动模式 - ICMR-INDIAB 研究(第 1 阶段)[ICMR-INDIAB-5]的结果。
Int J Behav Nutr Phys Act. 2014 Feb 26;11(1):26. doi: 10.1186/1479-5868-11-26.

年轻成年人中的肥胖患病率及其决定因素,特别关注正常体重肥胖;孟买的一项横断面研究。

Obesity Prevalence and Determinants among Young Adults, with Special Focus on Normal-Weight Obesity; A Cross-Sectional Study in Mumbai.

作者信息

Hadaye Rujuta Sachin, Manapurath Rukman Mecca, Gadapani Barsha Pathak

机构信息

Department of Community Medicine, Seth GSMC and KEM, Mumbai, Maharashtra, India.

出版信息

Indian J Community Med. 2020 Jul-Sep;45(3):358-362. doi: 10.4103/ijcm.IJCM_408_19. Epub 2020 Sep 1.

DOI:10.4103/ijcm.IJCM_408_19
PMID:33354019
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7745795/
Abstract

BACKGROUND

India has >135 million obese individuals at present. Body mass index (BMI) has been used to assess obesity until recent times. Later, studies have shown that central body fat (BF) measurements as a reliable predictor of metabolic diseases. Hence, normal-weight obesity (NWO) is defined. Those with a normal range of BMI but increased fat percentage are found to be having metabolic syndromes at a very early life. The young adult group is specifically focused on the study with diet and physical activity as potential determinants; as an intervention at the right time can prevent the development of many noncommunicable diseases.

OBJECTIVES

The aim of this study is to estimate the prevalence of obesity and its determinants with special reference to NWO.

MATERIALS AND METHODS

A cross-sectional study was conducted based on diet, physical activity, and other lifestyle factors on a sample of 269 young adults. Using Harpenden skinfold calipers, BF percentage was calculated based on Jackson and Pollock and Siri's equation. Binary logistic regression was also applied appropriately.

RESULTS

The proportion of obesity was 42.01%, and that of NWO was 16.1%. Sex, high protein diet, number of restaurant visits, less homemade tiffin intake, heavy physical activity, alcohol intake were found to be significantly associated with obesity. Intake of fish, physical activity, protein diet, day-time sleep were found to be significantly associated with NWO.

CONCLUSION

The study emphasizes the need for including BF percentage in addition to BMI in regular clinical practice. It may help in preventive and promotive efforts.

摘要

背景

目前印度有超过1.35亿肥胖个体。直到最近,体重指数(BMI)一直被用于评估肥胖情况。后来,研究表明中心体脂(BF)测量是代谢疾病的可靠预测指标。因此,定义了正常体重肥胖(NWO)。那些BMI在正常范围内但体脂百分比增加的人在很年轻时就被发现患有代谢综合征。青年成人组特别关注饮食和身体活动作为潜在决定因素的研究;因为在合适的时间进行干预可以预防许多非传染性疾病的发生。

目的

本研究的目的是估计肥胖及其决定因素的患病率,特别参考正常体重肥胖情况。

材料与方法

基于饮食、身体活动和其他生活方式因素对269名青年成人样本进行了横断面研究。使用哈彭登皮褶厚度仪,根据杰克逊和波洛克以及西里的公式计算体脂百分比。还适当应用了二元逻辑回归。

结果

肥胖比例为42.01%,正常体重肥胖比例为16.1%。性别、高蛋白饮食、外出就餐次数、较少食用自制午餐、高强度身体活动、饮酒被发现与肥胖显著相关。鱼类摄入、身体活动、蛋白质饮食、白天睡眠被发现与正常体重肥胖显著相关。

结论

该研究强调在常规临床实践中除BMI外还需纳入体脂百分比。这可能有助于预防和促进工作。