Like a bustling neighborhood where different factors contribute to its character, the study investigated the prevalence and risk factors of sarcopenia without obesity (S) and sarcopenic obesity (SO) among older adults in suburban Shanghai. The study found that lower BMI, lower hip circumference, farming as an occupation, higher HDL-C level, and shorter sleep duration were associated with an increased risk of S. On the other hand, aging, being male, higher BMI and monocyte level, and longer sleep duration were associated with a higher risk of SO. Interestingly, males were more likely to develop SO compared to females. The research suggests that both behavioral factors and lifestyle choices, such as occupation and sleep habits, play a role in the development of S, while age and gender are key factors in the development of SO. To fully grasp the nuances of sarcopenia and its links to obesity, delve into the comprehensive study!

ObjectivesThe aim of the present study was to explore the prevalence and risk factors of sarcopenia without obesity (S) and sarcopenic obesity (SO) among community-dwelling older people in the Chongming District of Shanghai, China, according to the Asian Working Group for Sarcopenia (AWGS) 2019 Consensus as the diagnostic criteria of sarcopenia.MethodsIn this cross-sectional study, a total of 1,407 subjects aged ≥65 years were included, where the mean age of the subjects was 71.91 ± 5.59 years and their mean body mass index (BMI) was 24.65 ± 3.32 kg/m2. According to the Asian Working Group for Sarcopenia (AWGS) 2019 Consensus, sarcopenia was defined as a low appendicular skeletal muscle mass index (≤7.0 kg/m2 in males and ≤5.7 kg/m2 in females), decreased handgrip strength (<28.0 kg in males and <18.0 kg in females), and/or low gait speed (<1.0 m/s) or poor 5-time chair stand test (5CST) (≥12s). The SO met both the diagnostic criteria for sarcopenia and obesity, meanwhile obesity was defined as an increased percentage of body fat (PBF) (≥25% in males and ≥35% in females). Univariate and multiple logistic regression analyses were performed to explore the risk factors of both S and SO.ResultsThe prevalence of S and SO was 9.74% (M: 9.29%, F: 10.05%) and 9.95% (M: 13.94%, F: 7.14%). Lower BMI (OR = 0.136, 95% CI: 0.054–0.340, p < 0.001), lower hip circumference (OR = 0.858, 95% CI: 0.816–0.903, p < 0.001), farming (OR = 1.632, 95% CI: 1.053–2.530, p = 0.028), higher high-density lipoprotein cholesterol (HDL-C) level (OR = 2.235, 95% CI: 1.484–3.367, p < 0.001), and a sleep duration <7 h (OR = 0.561, 95% CI: 0.346–0.909, p = 0.019) were risk factors for S. While aging (70–74 y, OR = 1.923, 95% CI: 1.122–3.295, p = 0.017; 75–79 y, OR = 3.185, 95% CI: 1.816–5.585, p < 0.001; ≥80 y, OR = 7.192, 95% CI: 4.133–12.513, p < 0.001), male (OR = 1.981, 95% CI: 1.351–2.904, p < 0.001), higher BMI (OR = 4.865, 95% CI: 1.089–21.736, p = 0.038), higher monocyte level (OR = 4.203, 95% CI: 1.340–13.181, p = 0.014), and a sleep duration >9 h (OR = 1.881, 95% CI: 1.117–3.166, p = 0.017) were risk factors for SO.ConclusionOur study showed the high prevalence of S and SO among community-dwelling older people in the Chongming District. The SO was more prevalent in males. Behavioral factors and lifestyle (such as farming and sleep duration) were associated more with the development of S, while age and male gender were associated more with the development of SO.

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