Sarcopenic obesity is associated with long-term trajectories of physical activity and sedentary behavior

肌萎缩性肥胖 期限(时间) 体力活动 久坐行为 肥胖 肌萎缩 医学 物理医学与康复 久坐的生活习惯 内科学 物理 量子力学
作者
Aarón Salinas‐Rodríguez,Ana Rivera‐Almaraz,Betty Manrique‐Espinoza
出处
期刊:Experimental Gerontology [Elsevier BV]
卷期号:204: 112752-112752
标识
DOI:10.1016/j.exger.2025.112752
摘要

Sarcopenia is characterized by decreased muscle mass and strength, and when combined with obesity, it is called sarcopenic obesity (SO). Like sarcopenia, SO is associated with adverse health outcomes This study aimed to investigate the association between SO with the longitudinal, long-term trajectories of physical activity (PA) and sedentary behavior (SB). Data came from four waves of the WHO Study on Global AGEing and Adult Health (SAGE) in Mexico (2009, 2014, 2017, 2021). A total of 1484 older adults aged 50 years and above were included in the study. PA and SB were determined by using the Global Physical Activity Questionnaire. Sarcopenia was defined according to the criteria of the European Working Group on Sarcopenia in Older People, and obesity according to waist circumference. Growth mixture modeling was used to investigate the longitudinal trajectories of PA and SB. Three longitudinal trajectories of PA and SB were found: low-PA-decreasers, moderate-PA-decreasers, and high-PA-decreasers for PA; and low-maintainers, steep-decreasers, and steep-increasers for SB. Decreased odds of SO were consistently associated with better PA and SB trajectories. The results of this study showed that sustained long-term trajectories of adequate levels of PA and SB are associated with lower rates of SO. The findings of this study support the evidence that regular PA can help reduce the likelihood of developing SO.
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
Trost完成签到,获得积分10
1秒前
KAKAZhang发布了新的文献求助10
2秒前
沉默不评完成签到,获得积分10
2秒前
zz发布了新的文献求助10
3秒前
3秒前
3秒前
哭泣的芷容完成签到,获得积分10
4秒前
magickou完成签到,获得积分10
4秒前
唐艺尹发布了新的文献求助10
4秒前
dhaoini完成签到,获得积分10
5秒前
5秒前
5秒前
赘婿应助sutychen采纳,获得10
6秒前
Xiu发布了新的文献求助10
7秒前
火星上的冬云完成签到,获得积分10
7秒前
桐桐应助Cici采纳,获得10
7秒前
FashionBoy应助正直的猕猴桃采纳,获得10
8秒前
9秒前
洁净夜阑发布了新的文献求助10
9秒前
852应助雕刻时光的达芬奇采纳,获得10
9秒前
打打应助可可豆采纳,获得30
11秒前
12秒前
12秒前
12秒前
yjh123应助温暖月饼采纳,获得10
12秒前
qinghuai完成签到,获得积分10
12秒前
13秒前
14秒前
14秒前
131099完成签到,获得积分10
15秒前
15秒前
Spring完成签到,获得积分10
15秒前
15秒前
希望天下0贩的0应助zz采纳,获得10
16秒前
16秒前
16秒前
lili完成签到 ,获得积分10
17秒前
csl完成签到,获得积分10
17秒前
linchen关注了科研通微信公众号
17秒前
2052669099发布了新的文献求助10
18秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
ズームレンズの光学設計に関する研究 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
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 7293230
求助须知:如何正确求助?哪些是违规求助? 8911952
关于积分的说明 18866898
捐赠科研通 6959988
什么是DOI,文献DOI怎么找? 3209793
关于科研通互助平台的介绍 2379232
邀请新用户注册赠送积分活动 2185816