Rationales, design and recruitment of the Taizhou Longitudinal StudyReport as inadecuate

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BMC Public Health

, 9:223

First Online: 10 July 2009Received: 11 May 2009Accepted: 10 July 2009DOI: 10.1186-1471-2458-9-223

Cite this article as: Wang, X., Lu, M., Qian, J. et al. BMC Public Health 2009 9: 223. doi:10.1186-1471-2458-9-223


BackgroundRapid economic growth in China in the past decades has been accompanied by dramatic changes in lifestyle and environmental exposures. The burdens of non-communicable diseases, such as cardiovascular diseases, diabetes and cancer, have also increased substantially.

Methods-designWe initiated a large prospective cohort–the Taizhou Longitudinal Study–in Taizhou a medium-size city in China to explore the environmental and genetic risk factors for common non-communicable diseases. The sample size of the cohort will be at least 100,000 adults aged 30–80 years drawn from the general residents of the districts of Hailin, Gaogang, and Taixing sample frame, 1.8 million of Taizhou. A three-stage stratified sampling method will be applied. Baseline investigations include interviewer-administered questionnaire, anthropometric measurements, and collection of buccal mucosal cells and blood specimens. DNA will be extracted for genetic studies and serum samples will be used for biochemical examinations. A follow-up survey will be conducted every three years to obtain information on disease occurrence and information on selected lifestyle exposures. Study participants will be followed-up indefinitely by using a chronic disease register system for morbidity and cause-specific mortality. Information on non-fatal events will be obtained for certain major categories of disease e.g., cancer, stroke, myocardial infarction through established registry systems.

DiscussionThe Taizhou Longitudinal Study will provide a good basis for exploring the roles of many important environmental factors especially those concomitant with the economic transformation in China for common chronic diseases, solely or via interaction with genetic factors.

Electronic supplementary materialThe online version of this article doi:10.1186-1471-2458-9-223 contains supplementary material, which is available to authorized users.

Xiaofeng Wang, Ming Lu contributed equally to this work.

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Author: Xiaofeng Wang - Ming Lu - Ji Qian - Yajun Yang - Shilin Li - Daru Lu - Shunzhang Yu - Wei Meng - Weimin Ye - Li Jin

Source: https://link.springer.com/

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