印度南部一个地区农村成年人代谢综合征的患病率和影响因素

IF 1.1 Q4 PRIMARY HEALTH CARE Journal of Family Medicine and Primary Care Pub Date : 2024-07-26 DOI:10.4103/jfmpc.jfmpc_1929_23
P. S. Latha, S. Sangeetha, M. Vijayakarthikeyan, R. Shankar
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引用次数: 0

摘要

摘要 由于久坐不动的生活方式、不健康的饮食和肥胖,代谢综合征在全球范围内呈上升趋势,给医疗保健系统带来了沉重负担。了解代谢综合征的决定因素,如生活方式因素、社会经济地位和环境,对于制定有效的预防和管理措施至关重要。对这些决定因素的研究有助于确定高危人群,并制定干预措施来减少代谢综合征的发生。 i. 估计代谢综合征在成年人群中的流行率。确定成人代谢综合征的相关因素。 对 410 名成年人(≥18 岁)进行了横断面研究。研究采用半结构式问卷收集数据,并使用美国国家胆固醇教育计划成人治疗小组 III 标准诊断代谢综合征。连续数据和分类数据分别以平均值和比例表示。使用患病率比值和调整后患病率比值来确定关联的强度。 参与者的平均年龄为(44.97 ± 14.7)岁,其中女性约占 58.3%。代谢综合征患病率为 39.8%。多变量回归分析表明,40 岁以上、婚姻状况、社会经济地位较高、技术工人、缺乏运动和肥胖与代谢综合征有独立联系。 通过筛查及早发现风险因素,并采取健康的生活方式,可以减轻代谢综合征的负担。
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Prevalence and influencing factors of metabolic syndrome among rural adult population in a district of South India
ABSTRACT Metabolic syndrome has increased globally due to sedentary lifestyles, unhealthy diets and obesity, which is posing a substantial burden on healthcare systems. Understanding the determinants of metabolic syndrome like lifestyle factors, socioeconomic status and the environment are vital for devising effective prevention and management. Research into these determinants helps to identify high-risk populations and develop interventions to reduce its occurrence. i. To estimate the prevalence of metabolic syndrome among the adult population. ii. To determine the factors associated with metabolic syndrome among the adult population. A cross-sectional study was carried out among 410 adults (≥18 years). A semi-structured questionnaire was used to collect data and National Cholesterol Education Program’s Adult Treatment Panel III criteria was used to diagnose metabolic syndrome. Continuous and categorical data were represented as mean and proportion, respectively. The strength of the association was determined using the prevalence ratio and adjusted prevalence ratio. The mean age of the participants was 44.97 ± 14.7, about 58.3% of them were females. Metabolic syndrome prevalence was 39.8%. Multivariate regression analysis demonstrated that being over 40 years old, marital status, higher socioeconomic status, skilled workers, physical inactivity and obesity were independently linked to metabolic syndrome. The burden can be reduced by identifying the risk factors at the early stage through screening and by adopting a healthy lifestyle.
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7.10%
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40 weeks
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