| 唐 玫,唐丽坤,李 颖,吕 莹,罗 维,全 力,段小群,马美刚.社区脑卒中高危人群检出率及与饮食习惯、生活方式的关系分析[J].,2020,(13):2568-2571 |
| 社区脑卒中高危人群检出率及与饮食习惯、生活方式的关系分析 |
| Analysis of the Detection Rate of High-risk Population of Stroke in Community and Its Relation with Dietary Habits and Lifestyle |
| 投稿时间：2019-11-06 修订日期：2019-11-30 |
| DOI：10.13241/j.cnki.pmb.2020.13.036 |
| 中文关键词: 脑卒中 高危人群 检出率 饮食习惯 生活方式 影响因素 |
| 英文关键词: Stroke High-risk population Detection rate Dietary habits Lifestyle Influence factor |
| 基金项目:广西壮族自治区科技开发项目（15-235-07）；桂林市科学研究与技术开发计划项目（2016012704-2） |
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| 中文摘要: |
| 摘要 目的：了解社区脑卒中高危人群患病情况并分析脑卒中高危与饮食习惯、生活方式的关系。方法：于2018年1月~2019年6月采取随机整群抽样的方法抽取桂林地区象山社区户籍居民796例，采用我院自制的调查问卷调查其基本资料、生活方式以及饮食习惯等信息，统计脑卒中高危人群检出率，根据高危人群检出结果将调查对象分为高危组（n=236）和非高危组（n=555），采用多因素logistic回归分析脑卒中高危的影响因素 。结果：本研究共发放调查问卷796份，回收有效问卷791份，经脑卒中风险评估为脑卒中高危的人数为236例，检出率为29.84%。高危组中性别为男性、无职业、年龄≥60岁、蔬菜摄入不足、吸烟、口味偏甜、缺乏体育锻炼、饮酒、口味偏油腻、肉类摄入不足的比例明显高于非高危组 （P<0.05）。多因素logistic回归分析结果显示，年龄≥60岁、缺乏体育锻炼、性别为男性、肉类摄入不足、口味偏油腻、饮酒、蔬菜摄入不足均是脑卒中高危的影响因素（P<0.05）。结论：桂林地区象山社区脑卒中高危人群检出率较高，且与性别、年龄、生活方式以及饮食习惯有关，临床可通过结合上述影响因素，开展针对性活动，以减少脑卒中的发生风险。 |
| 英文摘要: |
| ABSTRACT Objective: To understand the prevalence of stroke in population of stroke in community and to analyze the relationship between high-risk of stroke and dietary habits and lifestyle. Methods: 796 household registered residents of Xiangshan community in Guilin area were selected by random cluster sampling from January 2018 to June 2019. The basic information, lifestyle and dietary habits were investigated by self-made questionnaire. The detection of high-risk population of stroke was counted. The subjects were divided into high-risk group (n=236) and non-high-risk group (n=555) according to the detection results of high-risk population. Multivariate logistic regression was used to analyze the risk factors of stroke. Results: 796 questionnaires were sent out, and 791 valid questionnaires were collected. 236 high-risk cases were assessed by stroke risk assessment, and the detection rate was 29.84%. The proportion of male, no occupation, age≥60 years old, insufficient vegetable intake, smoking, sweet taste, lack of physical exercise, drinking, greasy taste and inadequate meat intake in high-risk group was significantly higher than that in non-high-risk group (P<0.05). Multivariate logistic regression analysis showed that age≥60 years old, lack of physical exercise, male, inadequate meat intake, greasy taste, drinking and insufficient vegetable intake were all risk factors for stroke (P<0.05). Conclusion: The high-risk population of stroke in Xiangshan community in Guilin has a high detection rate, which is related to gender, age, lifestyle and dietary habits. In order to reduce the risk of stroke, specific activities can be carried out in combination with the above factors. |
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