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范颖, 井丽, 田园梦, 阎涵, 邢立莹. 2021年沈阳市两城区 ≥ 60岁老年人血脂异常情况及影响因素分析[J]. 中国公共卫生, 2023, 39(8): 991-995. DOI: 10.11847/zgggws1141719
引用本文: 范颖, 井丽, 田园梦, 阎涵, 邢立莹. 2021年沈阳市两城区 ≥ 60岁老年人血脂异常情况及影响因素分析[J]. 中国公共卫生, 2023, 39(8): 991-995. DOI: 10.11847/zgggws1141719
FAN Ying, JING Li, TIAN Yuanmeng, YAN Han, XING Liying. Prevalence and risk factors of dyslipidemia among elderly residents: a cross-sectional survey in two urban districts of Shenyang city, 2021[J]. Chinese Journal of Public Health, 2023, 39(8): 991-995. DOI: 10.11847/zgggws1141719
Citation: FAN Ying, JING Li, TIAN Yuanmeng, YAN Han, XING Liying. Prevalence and risk factors of dyslipidemia among elderly residents: a cross-sectional survey in two urban districts of Shenyang city, 2021[J]. Chinese Journal of Public Health, 2023, 39(8): 991-995. DOI: 10.11847/zgggws1141719

2021年沈阳市两城区 ≥ 60岁老年人血脂异常情况及影响因素分析

Prevalence and risk factors of dyslipidemia among elderly residents: a cross-sectional survey in two urban districts of Shenyang city, 2021

  • 摘要:
      目的  分析辽宁省沈阳市大东区和铁西区 ≥ 60岁人群血脂异常率及其相关危险因素。
      方法  于2021年7 — 12月,采用随机整群抽样方法对沈阳市两城区3 810名 ≥ 60岁常住居民进行问卷调查、体格检查和实验室检测,调查血脂异常患病现况,利用logistic回归分析相关危险因素。
      结果  3 582人完成了相关调查,有效率为94.0%。沈阳市两城区老年人血脂异常检出率为40.4%,女性(44.0%)高于男性(34.9%),差异有统计学意义(χ2 = 29.681,P < 0.001)。多因素logistic回归分析结果显示,女性(OR = 1.54,95%CI = 1.34~1.78)、文化程度高中及以上(OR = 1.69,95%CI = 1.03~2.77)、高血压(OR = 1.22,95%CI = 1.06~1.40)、肥胖(OR = 1.25,95%CI = 1.01~1.54)和糖尿病(OR = 1.59,95%CI = 1.36~1.86)为血脂异常的危险因素。
      结论  沈阳市大东区和铁西区老年人血脂异常检出率较高,应重点关注女性、文化程度高者、高血压、糖尿病和肥胖者。

     

    Abstract:
      Objective  To analyze the prevalence and risk factors of dyslipidemia among residents aged 60 years and above in two urban districts of Shenyang city, Liaoning province.
      Methods  Totally 3 810 permanent residents aged 60 years and above were recruited with random cluster sampling at two urban districts of Shenyang city. Face-to-face questionnaire interview, physical examination and laboratory tests were carried out among the participants during July – December 2021. Multivariate logistic regression model was adopted in analyses on risk factors of dyslipidemia.
      Results   The detection rate of dyslipidemia was 40.4% among 3 582 eligible participants (94.0% of all the respondents) and the detection rate was significantly higher in the female participants than that in the male residents (44.0% vs. 34.9%, χ2 = 29.681; P < 0.001). Multivariate logistic regression analysis revealed that the participants with following characteristics were more likely to have dyslipidemia: female gender (odds ratio OR = 1.54, 95% confidence interval 95% CI: 1.34 − 1.78), with the education of high school and above (OR = 1.69, 95% CI: 1.03 − 2.77), with history of diseases including hypertension (OR = 1.22, 95% CI: 1.06 − 1.40), obesity (OR = 1.25, 95% CI: 1.01 − 1.54) and diabetes (OR = 1.59, 95% CI: 1.36 − 1.86).
      Conclusion  The prevalence of dyslipidemia is high among the elderly residents in two urban districts of Shenyang city and special attention should be paid to women, people with high education, and patients with hypertension, diabetes and obesity for intervention on dyslipidemia in the population.

     

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