医学
置信区间
优势比
人口
队列
人口学
方差分析
肌萎缩
内科学
肌肉团
环境卫生
社会学
作者
Zhengyuan Wang,Xinyi Dong,Qi Song,Xueying Cui,Zehuan Shi,Jiajie Zang,Jin Su,Xiaodong Sun
摘要
Abstract Background The proportion of sarcopenia in the elderly is very high, although muscle mass loss before sarcopenia covers a wider population. The present study aimed to analyse the effects of different dietary patterns on muscle mass. Methods In both 2015 and 2018, using multilayer random sampling, the same participants were selected, and the same questionnaires and machines were used. Results In total, 502 participants were selected. The >65‐year‐old group showed maximum muscle mass loss in males and females (−1.53 kg ± 4.42 and −1.14 kg ± 2.6 on average, respectively). The cumulative variance of four dietary patterns reached 52.28%. Logistical regression revealed significant differences between ʻJiangnan Dietaryʼ groups: Q2 vs. Q1 [odds ratio (OR) = 0.356, 95% confidence interval (CI) = 0.202–0.629]; Q3 vs. Q1 (OR = 0.457, 95% CI = 0.262–0.797). Relative influence factors for muscle mass loss were age (>65 vs. <45, OR = 2.027, 95% CI = 1.117–3.680), physical activity (OR = 0.550, 95% CI = 0.315–0.960), income (high vs. low, OR = 0.413, 95% CI = 0.210 –0.810), sex (female vs. male, OR = 0.379, 95% CI = 0.235–0.519). Conclusions After 3 years of follow‐up, participants' muscle mass declined significantly. The ʻJiangnan Dietaryʼ pattern prevented muscle mass loss and is recommended to the wider population.
科研通智能强力驱动
Strongly Powered by AbleSci AI