Verma Aditi, Malhotra Anita, Ranjan Piyush, Kumari Archana, Chopra Sakshi, Khan Maroof A, Kaloiya Gauri Shanker, Singh Amandeep, Prakash Bindu, Ahuja Maninder
Department of Home Science, University of Delhi, New Delhi, India.
Lakshmibai College, Department of Home Science, University of Delhi, New Delhi, India.
Diabetes Metab Syndr. 2024 Jan;18(1):102933. doi: 10.1016/j.dsx.2023.102933. Epub 2023 Dec 23.
Obesity during perimenopausal transition can be attributed to various factors. Identifying these factors is crucial in preventing obesity and developing effective strategies to manage weight during this phase. This review aimed to systematically understand predictors of obesity during menopausal transition.
The review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and searched databases like PubMed, Wiley Online Library, and Cochrane Reviews. Cohort and cross-sectional studies in English language assessing obesity among menopausal women were included. The methodological quality was assessed using Joanna Briggs Checklist for critical appraisal. Risk of Bias (RoB) was generated using Review Manager 5.4.1 (RevMan). Identified predictors were assessed for overall quality of evidence using adopted Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach.
This review encompassed 42 studies, (21 cross-sectional and 21 cohort) with sample ranging from 164 to 107,243 across studies. Higher parity( ≥ 3 children) emerged as a strong predictor of obesity across seven studies, with good-quality evidence. Lower physical activity was another predictor, supported by eight studies with good-quality evidence. Sociodemographic factors like lower education(<8 years or < than college degree), socioeconomic background, menopausal transition, and older age at menarche showed associations with weight gain, with moderate-quality evidence. Lifestyle factors (high-fat consumption, sedentariness, active smoking status, and psychological difficulties) also showed moderate-quality evidence.
This review underscores the multifaceted factors associated with obesity during the perimenopausal transition. Identifying these factors will be helpful in prevention and management of obesity among these women.
围绝经期过渡期间的肥胖可归因于多种因素。识别这些因素对于预防肥胖以及制定在此阶段有效管理体重的策略至关重要。本综述旨在系统地了解绝经过渡期间肥胖的预测因素。
本综述遵循系统评价和荟萃分析的首选报告项目（PRISMA）指南，并检索了如PubMed、Wiley在线图书馆和Cochrane综述等数据库。纳入了以英语进行的评估绝经后妇女肥胖情况的队列研究和横断面研究。使用乔安娜·布里格斯批判性评价清单评估方法学质量。使用Review Manager 5.4.1（RevMan）生成偏倚风险（RoB）。使用采用的推荐分级评估、制定和评价（GRADE）方法评估已识别的预测因素的总体证据质量。
本综述涵盖42项研究（21项横断面研究和21项队列研究），各研究样本量从164至107,243不等。在七项研究中，较高的产次（≥3个孩子）成为肥胖的有力预测因素，证据质量良好。较低的身体活动是另一个预测因素，有八项研究提供了质量良好的证据支持。社会人口学因素，如较低的教育水平（<8年或低于大学学历）、社会经济背景、绝经过渡以及初潮年龄较大，与体重增加有关，证据质量中等。生活方式因素（高脂肪摄入、久坐不动、当前吸烟状态和心理困扰）也显示出中等质量的证据。
本综述强调了围绝经期过渡期间与肥胖相关的多方面因素。识别这些因素将有助于预防和管理这些女性的肥胖问题。
