Abstract
房媛,张媛,李真,桑少伟,杨孝荣,张同超,殷晓霖,满金宇,吕明.山东省丘陵农村自然人群队列研究:研究方法及调查对象基线特征[J].Chinese journal of Epidemiology,2022,43(11):1789-1795
山东省丘陵农村自然人群队列研究:研究方法及调查对象基线特征
Shandong hilly rural natural population cohort study: method and baseline characteristics of survey subjects
Received:April 04, 2022  
DOI:10.3760/cma.j.cn112338-20220404-00258
KeyWord: 农村人口  慢性病  队列研究  问卷调查
English Key Word: Rural population  Chronic disease  Cohort studies  Surveys and questionnaires
FundProject:国家重点研发计划(2017YFC0907003,2021YFF1201101)
Author NameAffiliationE-mail
Fang Yuan Department of Epidemiology and Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Ji'nan 250012, China  
Zhang Yuan Department of Epidemiology and Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Ji'nan 250012, China
Clinical Epidemiology Unit, Qilu Hospital of Shandong University, Ji'nan 250012, China
Clinical Research Center of Shandong University, Ji'nan 250012, China 
 
Li Zhen Department of Epidemiology and Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Ji'nan 250012, China  
Sang Shaowei Clinical Epidemiology Unit, Qilu Hospital of Shandong University, Ji'nan 250012, China
Clinical Research Center of Shandong University, Ji'nan 250012, China 
 
Yang Xiaorong Clinical Epidemiology Unit, Qilu Hospital of Shandong University, Ji'nan 250012, China
Clinical Research Center of Shandong University, Ji'nan 250012, China 
 
Zhang Tongchao Clinical Epidemiology Unit, Qilu Hospital of Shandong University, Ji'nan 250012, China
Clinical Research Center of Shandong University, Ji'nan 250012, China 
 
Yin Xiaolin Department of Epidemiology and Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Ji'nan 250012, China  
Man Jinyu Department of Epidemiology and Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Ji'nan 250012, China  
Lyu Ming Department of Epidemiology and Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Ji'nan 250012, China
Clinical Epidemiology Unit, Qilu Hospital of Shandong University, Ji'nan 250012, China
Clinical Research Center of Shandong University, Ji'nan 250012, China 
lvming@sdu.edu.cn 
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Abstract:
      目的 探讨山东省丘陵农村自然人群队列的研究方法及调查对象的基线特征,为开展常见慢性非传染性疾病的发病及危险因素研究提供参考依据。方法 2017-2019年对山东省济南市平阴县孔村镇和孝直镇20~79岁常住居民进行基线调查,包括问卷调查、体格检查、生化指标检查和血液、唾液采集,建立山东省丘陵农村自然人群队列,对主要基线特征进行统计学分析。结果 共有10 296名调查对象纳入研究,基线平均年龄为54.45岁,其中男性占40.6%。队列调查对象中88.3%为初中及以下文化程度,62.1%以务农为主要职业,90.7%为已婚。吸烟者在男性和女性中分别占45.6%和0.9%,饮酒者分别占65.8%和3.0%。依据调查资料中研究对象的自我报告,高血压、糖尿病、冠心病、脑卒中和肿瘤的患病率依次为19.8%、3.2%、2.8%、2.7%和1.2%。结论 山东省丘陵农村自然人群队列为评估丘陵农村地区常见慢性非传染性疾病风险提供了重要资源,为疾病防控提供了重要依据。
English Abstract:
      Objective To understand the study method and the baseline characteristics of the survey subjects of Shandong hilly rural natural population cohort study, and provide reference for the research of the prevalence and risk factors of common chronic and non-communicable diseases. Methods Baseline survey, including questionnaire survey, physical examination, biochemical index examination and blood and saliva collection, was conducted in local residents aged 20-79 years in Kongcun and Xiaozhi townships of Pingyin county, Shandong province, from 2017 to 2019. Shandong hilly rural natural population cohort was established and main baseline characteristics of the study subjects were statistically analyzed. Results A total of 10 296 study subjects aged 54.45 years were included in the study, in whom 40.6% were males. Among the study subjects, 88.3% had education level of junior high school or below, 62.1% were famers, and 90.7% were married. Smokers accounted for 45.6% of men and 0.9% of women, and drinkers accounted for 65.8% of men and 3.0% of women, respectively. The self-reported rates of hypertension, diabetes, coronary heart disease, stroke and tumors were 19.8%, 3.2%, 2.8%, 2.7% and 1.2%, respectively.Conclusion The Shandong hilly rural cohort natural population study provided important evidence for assessing the risk for common chronic and non-communicable diseases and disease prevention and control in hilly rural areas.
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