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Sex/Gender Differences in Obesity Prevalence, Comorbidities, and Treatment
Journal article   Peer reviewed

Sex/Gender Differences in Obesity Prevalence, Comorbidities, and Treatment

Ashley J. Cooper, Sapana R. Gupta, Afaf F. Moustafa and Ariana M. Chao
Current obesity reports, v 10(4), pp 458-466
01 Dec 2021
PMID: 34599745

Abstract

Endocrinology & Metabolism Life Sciences & Biomedicine Nutrition & Dietetics Science & Technology ESI Highly Cited Paper (Incites)
Purpose of Review Obesity is a heterogeneous condition, yet sex/gender is rarely considered in the prevention or clinical care of this disease. This review examined and evaluated recent literature regarding the influence of sex and gender on obesity prevalence, comorbidities, and treatment in adults. Recent Findings Obesity is more prevalent in women than men in most countries, but in some countries and population subgroups, this gap is more pronounced. Several obesity-related comorbidities, including type 2 diabetes and hypertension, demonstrate sex-specific pathways. Women, compared to men, are more likely to be diagnosed with obesity and seek and obtain all types of obesity treatment including behavioral, pharmacological, and bariatric surgery. Men tend to have greater absolute weight loss, but this difference is attenuated once accounting for baseline weight. Summary Obesity is a multifactorial condition with complex interactions among sex/gender, sociocultural, environmental, and physiological factors. More sex/gender research is needed to investigate mechanisms underlying sex/gender differences in prevalence, comorbidities, and treatment, identify ways to increase men's interest and participation in obesity treatment, and examine differences in obesity prevalence and treatments for transgender and gender non-conforming individuals.

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296 citations in Scopus

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UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

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Highly Cited Paper 
Collaboration types
Domestic collaboration
Web of Science research areas
Endocrinology & Metabolism
Nutrition & Dietetics
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