努尔比亚木·艾合提, 陈思敏, 沈静, 周涛, 马润泽, 杨蕾. 新疆乌鲁木齐地区中老年人肌少症与代谢综合征的相关性研究[J]. 上海预防医学, 2023, 35(1): 1-7. DOI: 10.19428/j.cnki.sjpm.2023.22347
引用本文: 努尔比亚木·艾合提, 陈思敏, 沈静, 周涛, 马润泽, 杨蕾. 新疆乌鲁木齐地区中老年人肌少症与代谢综合征的相关性研究[J]. 上海预防医学, 2023, 35(1): 1-7. DOI: 10.19428/j.cnki.sjpm.2023.22347
NUERBIYAMU Aiheti, CHEN Simin, SHEN Jing, ZHOU Tao, MA Runze, YANG Lei. Association between sarcopenia and metabolic syndrome in middle-aged and elderly people in Urumqi, Xinjiang[J]. Shanghai Journal of Preventive Medicine, 2023, 35(1): 1-7. DOI: 10.19428/j.cnki.sjpm.2023.22347
Citation: NUERBIYAMU Aiheti, CHEN Simin, SHEN Jing, ZHOU Tao, MA Runze, YANG Lei. Association between sarcopenia and metabolic syndrome in middle-aged and elderly people in Urumqi, Xinjiang[J]. Shanghai Journal of Preventive Medicine, 2023, 35(1): 1-7. DOI: 10.19428/j.cnki.sjpm.2023.22347

新疆乌鲁木齐地区中老年人肌少症与代谢综合征的相关性研究

Association between sarcopenia and metabolic syndrome in middle-aged and elderly people in Urumqi, Xinjiang

  • 摘要:
    目的 依据2020年更新公布的《肌少症诊断和治疗专家共识2019(AWGS2019)》开展调查,获得乌鲁木齐市中老年人的肌少症患病率并探讨肌少症与代谢综合征(MS)的相关性。
    方法 以2018年7月—2019年1月新疆多民族自然人群队列中乌鲁木齐市1 438名年龄≥50岁的中老年人为研究对象,采取问卷调查法、体格检查法以及实验室检测等方式收集数据。采用四肢骨骼肌质量、握力以及4 m步速分别表示肌肉质量、肌肉力量和躯体功能;运用生物电阻抗分析法(BIA)测量人体成分;以AWGS2019推荐的肌少症诊断标准为基础获得年龄≥50岁人群肌少症的患病情况,采用多因素logistic回归分析模型探讨不同性别的中老年人群肌少症与MS的相关关系。
    结果 肌少症患者194人,患病率为13.49%。其中男性患病率为15.56%,女性患病率为12.12%。男性肌少症患者MS患病率(40.45%)与未患肌少症者MS患病率(38.92%)差异无统计学意义,而女性肌少症患者MS患病率(39.04%)比未患肌少症者(27.56%)高。多因素logistic回归模型的分析结果显示,肌少症是MS的相关因素,与非肌少症者相比,男性肌少症者患有MS的风险更高(OR=2.11,95%CI:1.15~3.88)。
    结论 中老年人肌少症会增加MS的患病风险,且在男性中更明显。充分认识肌少症有助于早期识别MS的高危人群,对预防MS的发生具有实际意义。

     

    Abstract:
    Objective To obtain the prevalence of sarcopenia in middle-aged and elderly people in Urumqi based on the 2020 updated based on the 2020 updated Consensus Report 2019 of Asian Working Group for Sarcopenia (AWGS2019), and to further explore the association between sarcopenia and metabolic syndrome (MS).
    Methods A total of 1 438 middle-aged and elderly people (aged≥50 years) in Urumqi from July 2018 to January 2019 were selected as the research subjects. Data were collected by questionnaire survey, physical examination and laboratory test. Skeletal muscle mass,grip strength and 4 m walking speed were used to represent muscle mass, muscle strength and body function, respectively. Bioelectrical impedance analysis (BIA) was used to measure human body components. Based on the diagnostic criteria of sarcopenia recommended by AWGS2019, the prevalence of sarcopenia in people over 50 years old was obtained. Multivariate logistic regression model was used to explore the correlation between sarcopenia and MS in middle-aged and elderly people of different genders.
    Results There were 194 patients with sarcopenia, with a prevalence of 13.49%. The prevalence was 15.56% in males and 12.12% in females. There was no significant difference in the prevalence of MS between male sarcopenia group (40.45%) and non-sarcopenia group (38.92%), while the prevalence of MS in female sarcopenia group (39.04%) was higher than that in non-sarcopenia group (27.56%). Multivariate logistic regression analysis showed that sarcopenia was a related factor of MS. Compared with non-sarcopenia, the risk of MS in male sarcopenia group was higher (OR=2.11,95%CI: 1.15‒3.88 ).
    Conclusion Sarcopenia increases the risk of MS in middle-aged and elderly people, with a greater risk in men. Fully understanding of sarcopenia is helpful to early identify high-risk groups of MS and prevent the occurrence of MS.

     

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