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涂青云, 覃玉, 汪嘉琦, 陈冲, 丁甘玲, 向全永. 江苏省成年居民静态行为与心脑血管疾病事件发生及其危险因素聚集性关系[J]. 中国公共卫生, 2020, 36(2): 165-169. DOI: 10.11847/zgggws1126263
引用本文: 涂青云, 覃玉, 汪嘉琦, 陈冲, 丁甘玲, 向全永. 江苏省成年居民静态行为与心脑血管疾病事件发生及其危险因素聚集性关系[J]. 中国公共卫生, 2020, 36(2): 165-169. DOI: 10.11847/zgggws1126263
Qing-yun TU, Yu QIN, Jia-qi WANG, . Associations of sedentary behaviors with incidence and risk factor clustering of cardiovascular diseases among adult residents in Jiangsu province: a follow-up study[J]. Chinese Journal of Public Health, 2020, 36(2): 165-169. DOI: 10.11847/zgggws1126263
Citation: Qing-yun TU, Yu QIN, Jia-qi WANG, . Associations of sedentary behaviors with incidence and risk factor clustering of cardiovascular diseases among adult residents in Jiangsu province: a follow-up study[J]. Chinese Journal of Public Health, 2020, 36(2): 165-169. DOI: 10.11847/zgggws1126263

江苏省成年居民静态行为与心脑血管疾病事件发生及其危险因素聚集性关系

Associations of sedentary behaviors with incidence and risk factor clustering of cardiovascular diseases among adult residents in Jiangsu province: a follow-up study

  • 摘要:
      目的  了解江苏省成年居民静态行为与心脑血管疾病(CVD)事件发生及心脑血管疾病危险因素(CVRFs)聚集性关系,为预防控制CVD事件的发生提供参考依据。
      方法  于2010年10 — 12月采用按人口规模成比例整群随机抽样方法在江苏省徐州市贾汪区、南通市如皋市、淮阴市金湖县、扬州市邗江区、泰州市姜堰区、盐城市响水县和连云港东海县7个慢性病及其危险因素监测点抽取3 500名 ≥ 18周岁成年居民进行基线调查和跟踪随访,登记并核实调查对象CVD事件发生情况;应用多因素非条件logistic回归模型分析静态行为与CVRFs聚集性之间的关系,应用多因素Cox比例风险回归模型分析静态行为与CVD事件发生的关系。
      结果  截至2017年12月31日,完成随访的3 019名江苏省成年居民共发生143例CVD事件,CVD事件发生率为4.73 %;具有1、2和 ≥ 3个CVRFs者分别为906、901和728人,分别占30.0 %、29.8 % 和24.1 %;在调整了性别、年龄、文化程度、婚姻状况、地区、饮酒情况和体力活动情况等混杂因素后,多因素非条件logistic回归分析结果显示,江苏省成年居民每日静态时间 ≥ 4 h者聚集 ≥ 3个CVRFs的风险为每日静态行为时间 < 2 h者的1.41倍(OR = 1.41,95 % CI = 1.05~1.89);在调整了性别、年龄、文化程度、婚姻状况、地区、吸烟情况、饮酒情况、体力活动情况及是否高血压、糖尿病、血脂异常、中心性肥胖等混杂因素后,多因素Cox比例风险回归分析结果显示,江苏省成年居民每日静态行为时间 ≥ 4 h者发生CVD事件的风险为每日静态行为时间 < 2 h者的2.07倍(HR = 2.07,95 % CI = 1.07~3.40)。
      结论  长时间的静态行为与CVRFs的聚集性存在显著相关关系,且明显增加CVD事件的发生风险。

     

    Abstract:
      Objective  To assess associations of sedentary behaviors with the incidence and risk factor clustering of cardiovascular disease (CVD) among adult residents in Jiangsu province and to provide evidences for the prevention and control of CVD.
      Methods  Using probability proportionate to size random sampling, we recruited 3 500 permanent residents 18 years old and elder at 7 chronic disease and risk factors surveillance sites in 7 municipalities of Jiangsu province; then baseline surveys, including questionnaire interview, physical examination and laboratory detection, were conducted during October – December 2010 and follow-up surveillances on CVD incidences were performed till the end of 2017 among the residents. Multivariate Cox proportional hazard model and unconditional logistic regression analysis and were adopted to assess the correlation between sedentary behavior and CVD incidence and clustering of CVD risk factors.
      Results  After excluding those with CVD or other severe diseases at the baseline survey, without valid information, or lost to follow-up, 3 019 residents were included the analysis, with a total of 17 926 person-years and an average period of 5.9 ± 0.9 years of follow-up. During the follow-up period among the participants, totally 143 CVD incidences were identified, with an incidence rate of 4.73%. The number (ratio) of participants reporting with one, two, and three or more CVD risk factors were 906 (30.0%), 901 (29.8%), and 728 (24.1%), respectively. Unconditional multivariate logistic regression analysis revealed that the participants with the sedentary time of 4 hours and more per day were more likely to report having three or more CVD risk factors (odds ratio OR = 1.41, 95% confidence interval CI: 1.05 − 1.89) compared to those with the sedentary time of 2 hours and less per day after adjusting for confounders including age, gender, education, marriage status, living region (urban or rural area), alcohol drinking, and physical activity. The participants with the sedentary time of 4 hours or more per day also had a significantly increased risk of CVD incidence (hazard ratio HR = 2.07, 95% CI: 1.07 − 3.40) in contrast to those with the sedentary time of 2 hours and less per day after adjusting for age, gender, living region, education, marital status, alcohol drinking, physical activity, smoking, and whether suffering from hypertension, diabetes, dyslipidemia, or central obesity in multivariate Cox proportional hazard regression analysis.
      Conclusion  Long time sedentary behavior is correlated with the clustering of CVD risk factors and increased risk of CVD incidence among adult residents in Jiangsu province.

     

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