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林深荣, 张骥, 吴延莉, 李雪娇, 刘涛. 贵州省成年居民社会经济地位与代谢综合征发病关系前瞻性队列研究[J]. 中国公共卫生, 2023, 39(4): 455-461. DOI: 10.11847/zgggws1139523
引用本文: 林深荣, 张骥, 吴延莉, 李雪娇, 刘涛. 贵州省成年居民社会经济地位与代谢综合征发病关系前瞻性队列研究[J]. 中国公共卫生, 2023, 39(4): 455-461. DOI: 10.11847/zgggws1139523
LIN Shenrong, ZHANG Ji, WU Yanli, . Correlation between socioeconomic status and metabolic syndrome among adult residents in Guizhou province: a prospective cohort study[J]. Chinese Journal of Public Health, 2023, 39(4): 455-461. DOI: 10.11847/zgggws1139523
Citation: LIN Shenrong, ZHANG Ji, WU Yanli, . Correlation between socioeconomic status and metabolic syndrome among adult residents in Guizhou province: a prospective cohort study[J]. Chinese Journal of Public Health, 2023, 39(4): 455-461. DOI: 10.11847/zgggws1139523

贵州省成年居民社会经济地位与代谢综合征发病关系前瞻性队列研究

Correlation between socioeconomic status and metabolic syndrome among adult residents in Guizhou province: a prospective cohort study

  • 摘要:
      目的  了解贵州省成年居民社会经济地位(SES)与代谢综合征(MS)发病的关系,为人群MS的防控提供参考依据。
      方法  于2010年11月 — 2012年12月采用多阶段整群随机抽样方法在贵州省12个县(市、区)抽取9280名 ≥ 18周岁常住成年居民进行基线调查,并于2016年12月 — 2020年6月进行随访,排除不符合纳入标准、失访及死亡者后最终纳入2956名居民分析其SES对MS发病的影响。
      结果   贵州省2956名成年居民随访5.05~9.52年,平均随访(6.96 ± 1.10)年,随访期间MS发病611例,MS发病率为20.67%,发病密度为29.68/1 000人年。在调整了性别、年龄、居住地、吸烟情况、饮酒情况、静坐时间、是否体育锻炼、睡眠时间、体质指数(BMI)、高血压家族史和糖尿病家族史等混杂因素后,多因素Cox比例风险回归分析结果显示,受教育程度小学、初中、高中/中专/技校、大专及以上居民MS发病风险分别为未接受过正规教育居民的0.699倍(HR = 0.699,95%CI = 0.512~0.956)、0.612倍(HR = 0.612,95%CI = 0.449~0.835)、0.563倍(HR = 0.563,95%CI = 0.375~0.847)和0.434倍(HR = 0.434,95%CI = 0.236~0.798),家庭人均年收入5 225~8 332、8333~13757和 ≥ 13758元居民MS发病风险分别为家庭人均年收入<2000元居民的0.705倍(HR = 0.705,95%CI = 0.502~0.992)、0.655倍(HR = 0.655,95%CI = 0.457~0.938)和0.628倍(HR = 0.628,95%CI = 0.436~0.903),职业为生产运输设备操作人员及有关人员、农林牧渔水利业生产人员居民MS发病风险为职业为无业人员居民的1.542倍(HR = 1.542,95%CI = 1.126~2.110),SES综合得分9~10、11和 ≥ 12分居民MS发病风险分别为SES综合得分 < 7分居民的0.682倍(HR = 0.682,95%CI = 0.493~0.944)、0.618倍(HR = 0.618,95%CI = 0.421~0.909)和0.578倍(HR = 0.578,95%CI = 0.407~0.821)。
      结论  贵州省成年居民SES与MS发病风险呈负相关,低SES居民为该地区MS防控的重点人群。

     

    Abstract:
      Objective   To investigate the relationship between socioeconomic status (SES) and the incidence of metabolic syndrome (MS) among adult residents in Guizhou province, and to provide references for the prevention and control of MS in the population.
      Methods  Totally 9 280 permanent residents aged ≥ 18 years were recruited from 12 counties/prefectures/ districts of Guizhou province with multistage cluster random sampling. Among the participants, a baseline survey including face-to-face interview with the National Chronic Disease Surveillance Questionnaire developed by Chinese Center for Disease Control and Prevention, physical examination and laboratory testing was conducted from November 2010 through December 2012; follow-up visits were carried out from December 2016 through June 2020. After excluding those who did not meet the inclusion criteria, lost to follow-up and died, 2 956 participants were finally included in the analysis on the impact of SES on the incidence of MS.
      Results  Individual follow-up periods ranged 5.05 − 9.52 years and the mean period was 6.96 ± 1.10 years. Of the participants followed up, 611 MS cases were identified, with an incidence rate of 20.67% and an incidence density of 29.68/1 000 person-years. After adjusting for sex, age, place of residence, smoking, alcohol consumption, sedentary time, physical activity, sleep duration, body mass index (BMI), family history of hypertension and family history of diabetes, the results of multivariate Cox proportional hazard regression analysis showed that the MS incidence risk increased (hazard risk HR = 1.542, 95% confidence interval 95% CI: 1.126 − 2.110) among the participants being engaged in farm work, forestry, animal husbandry, fishery and water conservancy industry compared to those being unemployed; but MS incidence risk decreased among the participants with regular education in comparison to those with informal education (primary school: HR = 0.699, 95%CI = 0.512 − 0.956; middle school: HR = 0.612, 95%CI: 0.449 − 0.835; high school/secondary specialized school/technical school: HR = 0.563, 95%CI: 0.375 − 0.847; junior college and above: HR = 0.434, 95%CI: 0.236 − 0.798), with higher annual household income per capita contrasting to those with the income of less than 2 000 CNY (5 225 − 8 332 CNY: HR = 0.705, 95%CI: 0.502 − 0.992; 8 333 − 13 757 CNY: HR = 0.655, 95%CI: 0.457 − 0.938; ≥ 13 758 CNY: HR = 0.628, 95%CI: 0.436 − 0.903), and with higher SES scores compared to those with the SES scores of less than 7 (SES score of 9 − 10: HR = 0.682, 95%CI: 0.493 − 0.944 , the score of 10: HR = 0.618, 95%CI: 0.421 − 0.909, the score of 11: HR = 0.578, 95%CI: 0.407 − 0.821).
      Conclusion  There is a inverse correlation between SES and MS risk among adult residents in Guizhou province, and the residents with low SES are the key population for MS prevention and control in the province.

     

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