清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

Urban-rural differences in the prevalence and associated factors of sarcopenia: A systematic review and meta-analysis

肌萎缩 荟萃分析 医学 梅德林 系统回顾 环境卫生 老年学 内科学 政治学 法学
作者
Xiaoyan Li,Rong Wang,Zhuoer Hou,Qiuhua Sun
出处
期刊:Archives of Gerontology and Geriatrics [Elsevier BV]
卷期号:122: 105390-105390 被引量:13
标识
DOI:10.1016/j.archger.2024.105390
摘要

Loss of muscle mass, muscle strength, and/or physical performance due to aging is known as sarcopenia. Regardless of how serious this illness is, no single diagnostic criteria have been established. Much research conducted recently has demonstrated differences between built environment characteristics (i.e., urban and rural) and the occurrence of sarcopenia; however, variations in sarcopenia prevalence in urban-rural areas around the world have been reported by fewer studies. This work sought to determine how sarcopenia prevalence varied between urban and rural areas and to explore the associated influencing factors. Using the pertinent MESH phrases and free words, PubMed, Web of Science, Embase, and China national knowledge infrastructure databases were scanned for core sarcopenia literature up to February 26, 2023. Observational studies involving urban-rural patients with sarcopenia published in Chinese and English, and assessing muscle mass via computed tomography, bioelectrical impedance, or dual-energy X-ray absorption techniques were considered as inclusion criteria. The meta-analysis involved analysis of the urban-rural prevalence in subgroups by diagnostic criteria, tools for assessing muscle mass and study type, as well as the factors related to urban-rural differences in the occurrence of sarcopenia. STATA version 11.0 was used to perform the statistical analysis. Sixty-six articles involving 433,091 participants were included for analysis: of which 27 were analyzed for both prevalence and related factors whereas 39 were for only prevalence. The meta-analysis revealed the prevalence of sarcopenia to be 0.18 (95% CI 0.14–0.22), with significant heterogeneity (P < 0.001; I2 = 99.9%). Moreover, the prevalence of sarcopenia in urban group [0.16 (I2 = 99.9%, 95% CI 0.1–0.22)] was lower than in rural group [0.2 (I2 = 99.6%, 95% CI 0.16–0.25)] and urban-rural group [0.21 (I2 = 97.5%, 95% CI 0.16–0.25)]. Besides, the factors significantly associated with sarcopenia in urban-rural areas were age, gender, BMI, malnutrition, physical activity, and polypharmacy. There was significant heterogeneity between these factors and the association of sarcopenia. Sarcopenia is associated with aspects of the built environment, and studies have revealed that sarcopenia is more common in rural than in urban populations with influencing factors including age, gender, BMI, poor nutrition, insufficient physical activity, and polypharmacy. The lack of uniform diagnostic criteria makes a robust and comprehensive assessment difficult. Therefore, the formation of certain universal and standardized diagnostic criteria will help future research on sarcopenia.
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
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
曾经不言完成签到 ,获得积分10
8秒前
研友_惊鸿发布了新的文献求助10
11秒前
ww完成签到,获得积分10
13秒前
抗体药物偶联完成签到,获得积分10
19秒前
firewood完成签到,获得积分10
25秒前
慧子完成签到 ,获得积分10
35秒前
37秒前
小号完成签到 ,获得积分10
49秒前
molihuakai应助林子采纳,获得10
51秒前
53秒前
初昀杭完成签到 ,获得积分10
55秒前
Sophia完成签到 ,获得积分10
59秒前
火星种芹菜完成签到 ,获得积分10
59秒前
hover完成签到,获得积分10
1分钟前
FireXIN发布了新的文献求助10
1分钟前
rj完成签到 ,获得积分10
1分钟前
1分钟前
1分钟前
FireXIN发布了新的文献求助10
1分钟前
郝晓东发布了新的文献求助10
1分钟前
zsl完成签到 ,获得积分10
1分钟前
1分钟前
1分钟前
含糊的茹妖完成签到 ,获得积分0
1分钟前
风趣的香岚完成签到,获得积分10
1分钟前
1分钟前
科科应助gjww采纳,获得300
1分钟前
开放的乐驹完成签到 ,获得积分10
1分钟前
zhg完成签到 ,获得积分10
1分钟前
FireXIN发布了新的文献求助10
2分钟前
阿拉完成签到,获得积分10
2分钟前
bo完成签到 ,获得积分10
2分钟前
wyx完成签到,获得积分10
2分钟前
一休完成签到 ,获得积分10
2分钟前
Alisha完成签到,获得积分10
2分钟前
有事儿没事儿转一圈完成签到 ,获得积分10
2分钟前
轻歌水越完成签到 ,获得积分10
2分钟前
冷静冰萍完成签到 ,获得积分10
2分钟前
蔡勇强完成签到 ,获得积分10
2分钟前
慕青应助舒昀采纳,获得10
2分钟前
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
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
Management and the Arts 310
Teaching Social and Emotional Learning in Physical Education 300
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7634256
求助须知:如何正确求助?哪些是违规求助? 9208286
关于积分的说明 19748354
捐赠科研通 7202489
什么是DOI,文献DOI怎么找? 3275028
关于科研通互助平台的介绍 2436932
邀请新用户注册赠送积分活动 2271933