高级检索
欧孟言, 孟瑞琳, 彭丹丹, 王晔, 许晓君, 郑雪燕, 宋秀玲, 效拟, 李川. 2020年广东省 ≥ 40岁居民脑卒中患病情况及其影响因素分析[J]. 中国公共卫生, 2024, 40(1): 7-12. DOI: 10.11847/zgggws1142311
引用本文: 欧孟言, 孟瑞琳, 彭丹丹, 王晔, 许晓君, 郑雪燕, 宋秀玲, 效拟, 李川. 2020年广东省 ≥ 40岁居民脑卒中患病情况及其影响因素分析[J]. 中国公共卫生, 2024, 40(1): 7-12. DOI: 10.11847/zgggws1142311
OU Mengyan, MENG Ruilin, PENG Dandan, WANG Ye, XU Xiaojun, ZHENG Xueyan, SONG Xiuling, XIAO Ni, LI Chuan. Prevalence and influencing factors of stroke in residents aged 40 years and older in Guangdong province, 2020: a cross- sectional survey[J]. Chinese Journal of Public Health, 2024, 40(1): 7-12. DOI: 10.11847/zgggws1142311
Citation: OU Mengyan, MENG Ruilin, PENG Dandan, WANG Ye, XU Xiaojun, ZHENG Xueyan, SONG Xiuling, XIAO Ni, LI Chuan. Prevalence and influencing factors of stroke in residents aged 40 years and older in Guangdong province, 2020: a cross- sectional survey[J]. Chinese Journal of Public Health, 2024, 40(1): 7-12. DOI: 10.11847/zgggws1142311

2020年广东省 ≥ 40岁居民脑卒中患病情况及其影响因素分析

Prevalence and influencing factors of stroke in residents aged 40 years and older in Guangdong province, 2020: a cross- sectional survey

  • 摘要:
      目的  了解广东省 ≥ 40岁居民脑卒中患病情况及其影响因素,为制定脑卒中防控政策提供参考依据。
      方法  于2020年7 — 12月采用多阶段随机整群抽样方法在广东省深圳市、韶关市、中山市、湛江市和清远市5个地级市抽取21176名 ≥ 40岁常住居民进行问卷调查、体格检查和实验室检测,并采用多因素非条件logistic回归模型分析该地区 ≥ 40岁居民脑卒中患病的影响因素。
      结果  广东省最终纳入分析的16993名 ≥ 40岁居民中,患脑卒中者361例,脑卒中患病率和标化患病率分别为2.12%和1.73%;多因素非条件logistic回归分析结果显示,年龄 ≥ 50岁、吸烟、缺乏体力活动、有脑卒中家族史、高血压、糖尿病、血脂异常、高同型半胱氨酸和房颤或瓣膜性心脏病为广东省 ≥ 40岁居民脑卒中患病的危险因素,女性、个人年均收入5000~10000元和 > 20000元为广东省 ≥ 40岁居民脑卒中患病的保护因素。
      结论  广东省 ≥ 40岁居民脑卒中患病率相对较低,性别、年龄、个人年均收入、是否吸烟、是否缺乏体力活动、有无脑卒中家族史、是否高血压、是否糖尿病、是否血脂异常、是否高同型半胱氨酸和是否房颤或瓣膜性心脏病为该地区 ≥ 40岁居民脑卒中患病的主要影响因素。

     

    Abstract:
      Objective  To investigate the prevalence and influencing factors of stroke in residents aged 40 years and older in Guangdong province for developing stroke prevention and control policies.
      Methods  Totally 21 176 permanent residents aged 40 years and older were recruited with multistage random cluster sampling in urban and rural regions of 5 municipalities in Guangdong province for a survey conducted during July – December 2020. All the participants undertook face-to-face interview with a questionnaire designed by domestic experts, physical examination and laboratory tests. Unconditional multivariate logistic regression model was used to analyze influencing factors of stroke.
      Results  Among 16 993 participants surveyed effectively, 361 stroke sufferers were identified and the crude and age-adjusted stroke prevalence were 2 124.40/100 000 and 1 725.25/100 000, respectively. Multivariate unconditional logistic regression analysis revealed following risk factors of stroke among the participants: ≥ 50 years old, smoking, lack of physical activity, family history of stroke, hypertension, diabetes, dyslipidemia, high homocysteine, and atrial fibrillation or valvular heart disease; while, being female and with an individual annual income of 5 000 – 10 000 or more than 20 000 Chinese yuan were protective factors against stroke.
      Conclusion  The prevalence of stroke was relatively low and influenced mainly by gender, age, annual personal income, smoking, lack of physical activity, family history of stroke, hypertension, diabetes, dyslipidemia, high homocysteine, atrial fibrillation or valvular heart disease among urban and rural residents aged 40 years and older in Guangdong province.

     

/

返回文章
返回