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!

The interplay between healthy lifestyle and body mass index in metabolic syndrome

体质指数 代谢综合征 医学 体容量指数 肥胖 内科学 老年学 脂肪团 肥胖的分类
作者
Tuija Jääskeläinen,Liisa Lehtoranta,Tarja Palosaari,Satu Männistö,Niina E. Kaartinen,Annamari Lundqvist,Jorma Lahti
出处
期刊:European journal of public health [Oxford University Press]
卷期号:34 (Supplement_3)
标识
DOI:10.1093/eurpub/ckae144.1333
摘要

Abstract The prevalence of metabolic syndrome (MS) tends to increase as body mass index (BMI) increases. However, the interplay between BMI and overall healthy lifestyle in MS remains unclear. We aimed to examine the association between healthy lifestyle and MS in BMI categories. Data comprised participants aged 30-64 years from the Healthy Finland Survey representing the Finnish adults (n = 2027). Information was collected through health examination measurements, blood sampling and questionnaires in 2023. Healthy Lifestyle Score (HLS) was defined as: 1) vegetables and fruits several times/day; 2) adherence to physical activity recommendations; 3) sufficient sleep duration; 4) no current daily smoking; 5) no risky alcohol drinking. Total score ranged 0-5; categorized as 0-2 (unhealthiest), 3, 4-5 (healthiest). MS was defined as exceeding risk limit in ≥ 3 of the following conditions: waist circumference, fasting glucose, triglycerides, blood pressure and HDL-cholesterol. BMI (kg/m2) was categorized as normal weight (<25), overweight, and obesity (≥ 30). Weighted prevalence and 95% confidence intervals (CIs) stratified by sex were calculated considering sampling design and non-response. In both sexes, the prevalence of MS was lowest in those with normal weight and healthiest lifestyle (men 7%; 95% CI 2-11; women 9%; 6-13) and highest in those with obesity and unhealthiest lifestyle (m 86%; 80-92; w 67%; 56-78). In men, the prevalence of MS decreased within each BMI class as HLS scores increased, but the difference between healthiest and unhealthiest lifestyle was greatest in those with normal weight (7% vs. 26%) and lowest in those with obesity (71% vs. 86%). In women, the differences were greatest among those with overweight. Obesity and unhealthy lifestyle together form a major risk factor for MS. Differences in the prevalence of MS according to lifestyle were evident especially in men with normal weight or overweight, but decreased when the obesity threshold was exceeded. Key messages • Obesity is strongly linked to the high prevalence of metabolic syndrome but maintaining a healthy lifestyle is important regardless of body mass index. • The results indicate the importance of multifaceted prevention influencing lifestyle factors and supporting weight management to enhance the cost-effective prevention of metabolic risk accumulation.
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
六包辣条发布了新的文献求助10
3秒前
Yi羿完成签到 ,获得积分10
6秒前
cdercder应助科研通管家采纳,获得50
7秒前
cdercder应助科研通管家采纳,获得10
7秒前
田様应助科研通管家采纳,获得10
7秒前
16秒前
aajhajkahna举报123求助涉嫌违规
19秒前
jing完成签到,获得积分20
20秒前
25秒前
lhl完成签到,获得积分0
31秒前
41秒前
hui完成签到 ,获得积分10
43秒前
智者雨人完成签到 ,获得积分10
44秒前
50秒前
淡定的夜云完成签到 ,获得积分10
52秒前
t铁核桃1985完成签到 ,获得积分0
53秒前
Rqbnicsp完成签到,获得积分10
53秒前
刘萌萌发布了新的文献求助10
56秒前
王权完成签到 ,获得积分10
1分钟前
1分钟前
伊笙完成签到 ,获得积分0
1分钟前
yaoyao发布了新的文献求助30
1分钟前
Lucas应助刘萌萌采纳,获得10
1分钟前
1分钟前
未蓝发布了新的文献求助10
1分钟前
许丫丫完成签到,获得积分10
1分钟前
1分钟前
阳光的Kelly完成签到 ,获得积分10
1分钟前
aajhajkahna举报sunnnni求助涉嫌违规
1分钟前
Aeeeeeeon完成签到 ,获得积分10
1分钟前
1分钟前
1分钟前
Jing发布了新的文献求助10
1分钟前
jing发布了新的文献求助10
1分钟前
大陆完成签到,获得积分10
1分钟前
复杂的海完成签到,获得积分10
1分钟前
1分钟前
张来完成签到 ,获得积分10
1分钟前
liu完成签到 ,获得积分10
1分钟前
小人物发布了新的文献求助10
1分钟前
高分求助中
Markov Chain Monte Carlo 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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 1500
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
Advanced Weaponeering Fourth Edition, Volume 2 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 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 7505895
求助须知:如何正确求助?哪些是违规求助? 9095145
关于积分的说明 19405513
捐赠科研通 7113511
什么是DOI,文献DOI怎么找? 3251723
关于科研通互助平台的介绍 2421026
邀请新用户注册赠送积分活动 2237776