The bidirectional relationship between metabolic syndrome and hyperuricemia in China: A longitudinal study from CHARLS

高尿酸血症 代谢综合征 医学 内科学 尿酸 内分泌学 体质指数 糖尿病 肥胖
作者
Wen-Yu Chen,Yan-Peng Fu,Min Zhou
出处
期刊:Endocrine [Springer Nature]
标识
DOI:10.1007/s12020-022-02979-z
摘要

ObjectiveIt has been reported that metabolic syndrome (MetS) has been associated with hyperuricemia. However, current findings have been inconclusive regarding the direction of this association. The objective of this study was to clarify the possible directional relationship between hyperuricemia and MetS.DesignThis study used two waves of data from the China Health and Retirement Longitudinal Study (CHARLS) in 2011 and 2015 (N = 6,253, aged ≥40 years). Logistic regression and cross-lagged panel design were performed to evaluate the bidirectional association between uric acid with MetS. MetS score is defined as the number of MetS components present.ResultsNew-onset hyperuricemia and MetS were observed in a four-year follow-up study among 719 and 625 participants, respectively. A positive association was observed in the adjusted logistical regression model between baseline MetS score and new-onset hyperuricemia (P for trend <0.001), and also between baseline serum uric acid (SUA) and new-onset MetS (P for trend <0.001). Cross-lagged panel analysis indicated MetS score positively and prospectively predicted SUA, but not vice versa. After stratification by sex, we observed a strong, bidirectional relationship between MetS score and SUA indicating that diagnosis in one illness increased the risk of the other, both men and women. Moreover, this study also found that systolic blood pressure (P < 0.001) and triglycerides (P < 0.001) had a bidirectional relationship with SUA.ConclusionsThe results of this study indicated a bidirectional relationship between MetS and hyperuricemia.
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
PDF的下载单位、IP信息已删除 (2025-6-4)

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
科研通AI6应助Mure采纳,获得10
1秒前
细心柚子完成签到 ,获得积分10
1秒前
2秒前
2秒前
LYegoist完成签到,获得积分10
2秒前
2秒前
3秒前
丘比特应助梓榆采纳,获得10
3秒前
SciGPT应助bae采纳,获得30
3秒前
得普利麻完成签到 ,获得积分10
3秒前
潘啊潘完成签到 ,获得积分10
4秒前
简单耳机发布了新的文献求助10
4秒前
4秒前
养老院发布了新的文献求助10
4秒前
liguyi发布了新的文献求助10
5秒前
6秒前
贾克斯发布了新的文献求助10
6秒前
小蘑菇应助大喜子采纳,获得150
6秒前
6秒前
来了发布了新的文献求助10
7秒前
科目三应助cs采纳,获得10
7秒前
8秒前
甜甜嘉熙发布了新的文献求助10
8秒前
传奇3应助等下完这场雨采纳,获得10
9秒前
9秒前
柚子完成签到,获得积分10
9秒前
10秒前
得普利麻关注了科研通微信公众号
10秒前
鲤鱼平蓝发布了新的文献求助10
11秒前
Jasper应助贾克斯采纳,获得10
13秒前
困敦发布了新的文献求助10
13秒前
婉妤完成签到 ,获得积分10
13秒前
科研通AI6应助星星点点1234采纳,获得10
14秒前
科研通AI6应助星星点点1234采纳,获得10
14秒前
波比完成签到,获得积分10
14秒前
思源应助CALM采纳,获得10
15秒前
Lethe发布了新的文献求助10
15秒前
15秒前
zhang完成签到 ,获得积分10
15秒前
哒哒李完成签到,获得积分10
16秒前
高分求助中
晶体学对称群—如何读懂和应用国际晶体学表 1500
Constitutional and Administrative Law 1000
Microbially Influenced Corrosion of Materials 500
Die Fliegen der Palaearktischen Region. Familie 64 g: Larvaevorinae (Tachininae). 1975 500
Numerical controlled progressive forming as dieless forming 400
Rural Geographies People, Place and the Countryside 400
Machine Learning for Polymer Informatics 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5384621
求助须知:如何正确求助?哪些是违规求助? 4507409
关于积分的说明 14028029
捐赠科研通 4417130
什么是DOI,文献DOI怎么找? 2426268
邀请新用户注册赠送积分活动 1419058
关于科研通互助平台的介绍 1397395