The association between body mass index and the risk of endometriosis: A meta-analysis

子宫内膜异位症 医学 优势比 置信区间 体重不足 体质指数 超重 荟萃分析 出版偏见 肥胖 风险因素 内科学 妇科
作者
Ensiyeh Jenabi,Salman Khazaei,Yousef Veisani
出处
期刊:Journal of endometriosis and pelvic pain disorders [SAGE Publishing]
卷期号:11 (2): 55-61 被引量:11
标识
DOI:10.1177/2284026519832814
摘要

Background: Many epidemiologic studies have been conducted to assess factors that were associated to endometriosis, but there is no consistency in results. Therefore, we conducted this meta-analysis to investigate the association between body mass index and the risk of endometriosis. Methods: In this meta-analysis, relevant studies that published in major international electronic bibliographic databases of PubMed, Scopus and Web of Science were systematically searched during November 2017. The Begg and Egger’s test was used to investigate publication bias in included studies. The Q-statistic and I 2 tests were carried out for measuring heterogeneity. The random-effects model was conducted to obtain pooled odds ratio. Results: Our results showed a direct association between underweight and endometriosis in woman (odds ratio = 1.41, 95% confidence interval = 1.16–1.66), so underweight woman had 41% higher chance for endometriosis. However, we did not find linear association between overweight and endometriosis (odds ratio = 0.95; 95% confidence interval: 0.72–1.18) and obesity and endometriosis (odds ratio = 0.88; 95% confidence interval: 0.54–1.21), respectively. Conclusions: Our results suggested that underweight was a risk factor for the endometriosis, while overweight and obesity were not protective factors for endometriosis.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
桐桐应助一只绒可可采纳,获得10
1秒前
打打应助小王采纳,获得10
1秒前
克里斯蒂龙完成签到,获得积分20
1秒前
kommon发布了新的文献求助10
2秒前
沈括完成签到,获得积分10
2秒前
2秒前
成就飞莲发布了新的文献求助30
3秒前
mneos发布了新的文献求助10
3秒前
Ava应助paperneedddddd采纳,获得10
3秒前
Viola发布了新的文献求助10
4秒前
坦率从云完成签到,获得积分10
4秒前
4秒前
邵shuo完成签到,获得积分10
4秒前
害怕的鞯发布了新的文献求助10
4秒前
4秒前
zjh发布了新的文献求助10
5秒前
5秒前
wyy发布了新的文献求助10
5秒前
5秒前
哈尼完成签到,获得积分10
5秒前
6秒前
小二郎应助杨羕采纳,获得10
6秒前
雪吖头完成签到,获得积分10
6秒前
bkagyin应助顺利的奇异果采纳,获得10
6秒前
潇洒的夜云完成签到,获得积分10
6秒前
6秒前
6秒前
科目三应助ll采纳,获得10
6秒前
桓桓桓桓发布了新的文献求助10
7秒前
开放明雪完成签到,获得积分10
7秒前
zxs666完成签到,获得积分10
8秒前
趣趣完成签到,获得积分10
8秒前
8秒前
ryan完成签到,获得积分10
8秒前
高高以松完成签到 ,获得积分10
9秒前
赘婿应助kommon采纳,获得10
9秒前
9秒前
Mon完成签到,获得积分10
9秒前
ldhtata发布了新的文献求助20
9秒前
Qz完成签到,获得积分10
9秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
CLSI M100 Performance Standards for Antimicrobial Susceptibility Testing 36th edition 400
How to Design and Conduct an Experiment and Write a Lab Report: Your Complete Guide to the Scientific Method (Step-by-Step Study Skills) 333
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6364007
求助须知:如何正确求助?哪些是违规求助? 8178020
关于积分的说明 17236187
捐赠科研通 5419114
什么是DOI,文献DOI怎么找? 2867526
邀请新用户注册赠送积分活动 1844503
关于科研通互助平台的介绍 1692118