Osteoporosis and depression in perimenopausal women: From clinical association to genetic causality

医学 骨质疏松症 骨量减少 重性抑郁障碍 孟德尔随机化 内科学 萧条(经济学) 骨矿物 遗传学 生物 基因 基因型 宏观经济学 经济 扁桃形结构 遗传变异
作者
Xiang‐Yun Guo,Ying-Jun She,Qingqing Liu,Jiong Qin,Charles Wang,XU Ai-li,Baoyu Qi,Chuanrui Sun,Yan-Ming Xie,Yan Ma,Liguo Zhu,Weiwei Tao,Wei Xu,Yili Zhang
出处
期刊:Journal of Affective Disorders [Elsevier]
标识
DOI:10.1016/j.jad.2024.04.019
摘要

Osteoporosis and major depressive disorder (MDD) represent two significant health challenges globally, particularly among perimenopausal women. This study utilizes NHANES data and Mendelian randomization (MR) analysis to explore the link between them, aiming to provide a basis for intervention strategies for this group.The study analyzed NHANES 2007-2018 data using weighted logistic regression in R software to evaluate the link between MDD and osteoporosis risk. Then, a two-sample MR analysis with GWAS summary statistics was performed, mainly using the IVW method. Additional validation included MR Egger, Weighted Median, Mode, and MR-PRESSO methods.The research analysis indicated a significant link between MDD and the risk of osteopenia/osteoporosis. Our analysis revealed a significant positive relationship between MDD and both femoral neck osteoporosis (OR = 6.942 [95 % CI, 1.692-28.485]) and trochanteric osteoporosis (OR = 4.140 [95 % CI, 1.699-10.089]). In analyses related to osteopenia, a significant positive correlation was observed between MDD and both total femoral osteopenia (OR = 3.309 [95 % CI, 1.577-6.942]) and trochanteric osteopenia (OR = 2.467 [95 % CI, 1.004-6.062]). Furthermore, in the MR analysis, genetically predicted MDD was causally associated with an increased risk of osteoporosis via the IVW method (P = 0.013).Our study was limited by potential selection bias due to excluding subjects with missing data, and its applicability was primarily to European and American populations.Integrating NHANES and MR analyses, a robust correlation between MDD and osteoporosis was identified, emphasizing the significance of addressing this comorbidity within clinical practice and meriting further investigation.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
wang发布了新的文献求助10
刚刚
刚刚
刚刚
可爱的函函应助小呆采纳,获得10
3秒前
科研小白发布了新的文献求助30
3秒前
12345完成签到,获得积分10
4秒前
czx发布了新的文献求助10
5秒前
hsyp发布了新的文献求助10
6秒前
8秒前
西红柿炒番茄应助小可采纳,获得10
9秒前
苹果小小完成签到,获得积分20
11秒前
慕青应助cmuren99采纳,获得10
13秒前
naru发布了新的文献求助10
14秒前
琳霖临临麟完成签到,获得积分10
15秒前
Nora发布了新的文献求助50
15秒前
15秒前
苹果小小发布了新的文献求助10
15秒前
123完成签到,获得积分20
16秒前
xixi完成签到,获得积分10
17秒前
温药专发布了新的文献求助10
18秒前
Orange应助飞飞鸟鸟与鱼采纳,获得10
19秒前
19秒前
19秒前
小菜狗完成签到 ,获得积分10
20秒前
传统的秋烟完成签到,获得积分10
20秒前
wang完成签到,获得积分10
20秒前
科研小白完成签到,获得积分10
22秒前
在水一方应助科研通管家采纳,获得10
22秒前
cctv18应助科研通管家采纳,获得10
22秒前
沫豆应助科研通管家采纳,获得100
22秒前
22秒前
orixero应助科研通管家采纳,获得10
22秒前
cmh完成签到,获得积分20
22秒前
及川星月完成签到 ,获得积分10
22秒前
23秒前
d_fishier发布了新的文献求助10
23秒前
23秒前
cmuren99发布了新的文献求助10
24秒前
wanci应助naru采纳,获得10
25秒前
汉堡包应助谦让的慕凝采纳,获得10
27秒前
高分求助中
【本贴是提醒信息,请勿应助】请在求助之前详细阅读求助说明!!!! 20000
One Man Talking: Selected Essays of Shao Xunmei, 1929–1939 1000
The Three Stars Each: The Astrolabes and Related Texts 900
Yuwu Song, Biographical Dictionary of the People's Republic of China 800
Multifunctional Agriculture, A New Paradigm for European Agriculture and Rural Development 600
Challenges, Strategies, and Resiliency in Disaster and Risk Management 500
Bernd Ziesemer - Maos deutscher Topagent: Wie China die Bundesrepublik eroberte 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2482292
求助须知:如何正确求助?哪些是违规求助? 2144695
关于积分的说明 5470862
捐赠科研通 1867118
什么是DOI,文献DOI怎么找? 928103
版权声明 563071
科研通“疑难数据库(出版商)”最低求助积分说明 496509