Cardiovascular

[Analysis of incidence characteristics and influencing factors of metabolic syndrome among rural residents in Southern Xinjiang Uygur Autonomous Region].

TL;DR

The incidence density of metabolic syndrome was relatively high (32.06 per 1,000 person-years) in rural areas of southern Xinjiang Uygur Autonomous Region, with gender and age differences in risk factors including overweight/obesity, abnormal LDL-C, abnormal GGT, and specific phenotypes involving high triglycerides and high waist circumference.

Key Findings

The overall incidence density of metabolic syndrome among rural residents in southern Xinjiang was 32.06 per 1,000 person-years.

  • A rural population cohort of 12,813 permanent residents aged 18 and above was established in 2016.
  • Male incidence density (37.25 per 1,000 person-years) exceeded that of females (27.89 per 1,000 person-years).
  • Chi-square tests and Cox proportional hazards regression models were used to analyze MS risk factors.
  • Latent Class Analysis (LCA) was conducted in both the total population and the new-onset MS population to explore phenotypic distribution characteristics.

Age greater than 30 years, overweight/obesity, abnormal LDL-C, abnormal gamma-glutamyl transferase (GGT), high triglyceride-high waist circumference phenotype, and hypertension-high waist circumference phenotype were all significant risk factors for metabolic syndrome.

  • All identified risk factors had HR > 1.00 and P < 0.05.
  • Cox proportional hazards regression models were used to identify these risk factors.
  • Both lipid-related markers (LDL-C, triglycerides) and liver enzyme (GGT) abnormalities were identified as independent risk factors.
  • Phenotypic classifications derived from Latent Class Analysis were included as risk factor variables.

Stratified analysis by age showed that abnormal LDL-C, abnormal GGT, high triglyceride-high waist circumference phenotype, and hypertension-high waist circumference phenotype were risk factors specifically in the 31–60 age group.

  • The 31–60 age group was identified as a priority subgroup for all four of these risk factors.
  • Age > 30 years was itself a significant risk factor for MS in the overall analysis (HR > 1.00, P < 0.05).
  • Stratified analyses were conducted to assess age-specific differences in risk factor patterns.
  • The paper recommends focusing preventive efforts on individuals aged 31–60 years with hypertension-high waist circumference and high triglyceride-high waist circumference phenotypes.

Gender-stratified analysis revealed distinct risk factor profiles for men and women.

  • In men, abnormal GGT and the high triglyceride-high waist circumference phenotype carried higher MS risk.
  • In women, abnormal LDL-C, overweight/obesity, and the hypertension-high waist circumference phenotype were associated with higher MS risk.
  • These findings suggest that lipid and liver function monitoring should be prioritized in men, while weight, blood pressure, and waist circumference management should be emphasized in women.
  • Male incidence density (37.25 per 1,000 person-years) was higher than female incidence density (27.89 per 1,000 person-years).

Having a secondary school education or above was associated with a lower risk of metabolic syndrome.

  • Education level of secondary school or above was identified as a protective factor against MS in stratified analysis.
  • This finding was identified through Cox proportional hazards regression modeling.
  • The result suggests that higher educational attainment may be inversely associated with MS incidence in this rural population.
  • This finding underscores the potential role of health literacy and socioeconomic factors in MS prevention.

What This Means

This research suggests that metabolic syndrome — a cluster of conditions including high blood pressure, high blood sugar, excess body fat around the waist, and abnormal cholesterol levels — is occurring at a relatively high rate among rural residents in southern Xinjiang, China. In a cohort of nearly 13,000 adults followed since 2016, the study found approximately 32 new cases of metabolic syndrome per 1,000 people per year, with men developing it more frequently than women. Key risk factors included being overweight or obese, having abnormal blood fat levels (LDL cholesterol and triglycerides), having elevated liver enzyme levels (GGT), and having combinations of high waist circumference with either high triglycerides or high blood pressure. The study also found that risk factors differ by age and sex. Among people aged 31–60, abnormal blood lipids, liver enzyme levels, and specific body composition patterns were particularly strong predictors of developing metabolic syndrome. In men, liver enzyme abnormalities and a pattern of high triglycerides combined with a large waist were the most important risk factors, while in women, abnormal LDL cholesterol, overweight or obesity, and high blood pressure combined with a large waist were more prominent risks. People with at least a secondary school education had a lower risk of developing metabolic syndrome. These findings matter because they point to specific groups — particularly adults aged 31–60 in rural southern Xinjiang — who may benefit most from targeted health monitoring and prevention efforts. This research suggests that tailored strategies, such as lipid and liver function screening for men and weight and blood pressure management for women, could help address the high burden of metabolic syndrome in this population.

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Citation

Gu S, Tian M, Lu L, Airefate T, Guo H, Guo S, et al.. (2026). [Analysis of incidence characteristics and influencing factors of metabolic syndrome among rural residents in Southern Xinjiang Uygur Autonomous Region].. Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi. https://doi.org/10.3760/cma.j.cn112338-20260105-00010