| 夏敏,洪明晃,仇小强,林英姿,张维森,高培松,李志斌,胡志坚.华南区域自然人群慢性非传染性疾病前瞻性队列研究建设概况[J].中华流行病学杂志,2023,44(1):48-53 |
| 华南区域自然人群慢性非传染性疾病前瞻性队列研究建设概况 |
| Introduction of a prospective cohort study of chronic and non-communicable diseases in general population in southernern China |
| 收稿日期:2022-09-29 出版日期:2023-01-14 |
| DOI：10.3760/cma.j.cn112338-20220929-00831 |
| 中文关键词: 自然人群 队列研究 慢性非传染性疾病 华南 |
| 英文关键词: General population Cohort study Chronic and non-communicable disease Southern China |
| 基金项目:国家重点研发计划“精准医学研究”重点专项（2017YFC0907100） |
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| 中文摘要: |
| 随着生活行为方式、自然和社会环境的急剧变化，我国慢性非传染性疾病（慢性病）的流行现状及相关危险因素也发生了巨大的改变。全国各地各类慢性病的流行特征及其危险因素分布不尽相同，而华南地区独特的气候、饮食及生活方式对慢性病发生发展的影响至今尚不明确。因此，亟需通过区域性大型队列的建设，为区域重大疾病的病因学研究、早期预测和干预策略提供本土化人群证据，也为国家重大慢性病防治策略的制定提供依据。华南区域自然人群慢性病前瞻性队列于2017年12月正式启动，覆盖广东省、广西壮族自治区、福建省和海南省，以35~74岁常住居民为主要研究对象，包括城市与农村、汉族与以壮族为代表的少数民族多类型自然人群。本队列围绕华南区域常见重大慢性病建立集健康信息和生物样本为一体的精准医学大数据平台，并开展长期随访。现已建立116 520人的基线数据库，年龄为（54.9±12.5）岁，女性71 077人（61.0%）。基线数据库包括问卷调查、体格检查数据以及生物样本。本文对华南区域自然人群慢性病前瞻性队列设计的理念、研究进展和随访设想作简要介绍。 |
| 英文摘要: |
| With the rapid changes in people's lifestyles, natural and social environments in recent years, the prevalence of chronic and non-communicable diseases in China and its related risk factors have also had tremendous changes. The epidemiological characteristics of chronic and non-communicable diseases and their risk factors vary throughout the country, and the impact of unique climate, diet and lifestyle in southern China on the incidence and prevalence of chronic and non-communicable chronic diseases remains to be elucidated. Therefore, large-scale cohort study is urgently needed to provide evidence for the etiological research and management of chronic and non-communicable chronic diseases in different areas, and for the national management strategy for major chronic and non-communicable diseases. The prospective cohort study of chronic and non-communicable diseases in general population in southern China was established in December 2017. The study recruited permanent residents aged 35-74 years from both urban and rural areas in Guangdong, Hainan, Fujian Provinces and Guangxi Zhuang Autonomous Region. A big data platform of precision medicine which integrates health information with biological samples for long-term follow up has been established. A baseline database of 116 520 people aged (54.9±12.5) years, including 71 077 women (61.0%), has been established. Collecting questionnaire survey data, physical examination data, and biological samples. This paper briefly introduces the concept, design and progress of the prospective cohort study of chronic and non-communicable diseases in general population in southern China. |
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