Study design and baseline characteristics of Shenzhen ageing-related disorder cohort in China
Li Liu,
Xian Wang,
Li Zhou,
Jing Yuan,
Jianjun Liu,
Weihong Chen,
Lulin Nie,
Zhiwei Guo,
Yi Luo,
Weimin Liu,
Feiqi Zhu,
Jiafei Zhang,
Tian Li,
Erwei Gao,
Kaiwu He,
Yidan Huang,
Chunjie Yuan,
Qingqing Zhu,
Fang Ye,
Xingchen Yu
Affiliations
Li Liu
Department of Epidemiology and Biostatistics and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
Xian Wang
Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
Li Zhou
Key Laboratory of Modern Toxicology of Shenzhen, Shenzhen Medical Key Subject of Health Toxicology, Shenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong, China
Jing Yuan
Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
Jianjun Liu
Key Laboratory of Modern Toxicology of Shenzhen, Shenzhen Medical Key Subject of Health Toxicology, Shenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong, China
Weihong Chen
Shenzhen Luohu Center for Disease Control and Prevention, Shenzhen, Guangdong, China
Lulin Nie
Key Laboratory of Modern Toxicology of Shenzhen, Shenzhen Medical Key Subject of Health Toxicology, Shenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong, China
Zhiwei Guo
Shenzhen Luohu Hospital for Traditional Chinese Medicine, Shenzhen Luohu Hospital Group, Shenzhen, Guangdong, China
Yi Luo
Shenzhen Luohu Hospital for Traditional Chinese Medicine, Shenzhen Luohu Hospital Group, Shenzhen, Guangdong, China
Weimin Liu
Shenzhen Luohu Center for Disease Control and Prevention, Shenzhen, Guangdong, China
Feiqi Zhu
Cognitive Impairment Ward of Neurology Department, The Third Affiliated Hospital of Shenzhen University Medical College, Shenzhen, Guangdong, China
Jiafei Zhang
Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
Tian Li
Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
Erwei Gao
Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
Kaiwu He
Key Laboratory of Modern Toxicology of Shenzhen, Shenzhen Medical Key Subject of Health Toxicology, Shenzhen Center for Disease Control and Prevention, Shenzhen, Guangdong, China
Yidan Huang
Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
Chunjie Yuan
Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
Qingqing Zhu
Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
Fang Ye
Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
Xingchen Yu
Department of Epidemiology and Biostatistics and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
Purpose The Shenzhen ageing-related disorder cohort was designed to detect the associations of lifestyle, environmental and genetic factors with major ageing-related disorders, especially neurological and mental disorders.Participants The cohort was a community-dwelling prospective study of 9411 elderly adults aged 60 to 92 years from 51 community health service centres in Luohu district of Shenzhen, China. The baseline data were collected between 2017 and 2018, including demographics and socioeconomics, lifestyles, medical history, family history of major non-communicable chronic disease, environmental exposures, clinical analysis of blood and urine, clinical imaging measurements, anthropometric measures and neurological function and mental health assessments. Blood and urinary samples were collected at baseline. All participants will be followed for physiological and psychological disorders and updated lifestyle and environmental exposures every 5 years.Findings to date The mean age of the participants was 67.73 years at baseline, and 42.74% were males. The prevalences of individuals with unhealthy conditions were as follows: overweight/obesity (54.38%), hypertension (58.24%), diabetes mellitus (22.30%), dyslipidaemia (75.69%), chronic bronchitis (1.45%), myocardial infarction (0.55%), coronary heart disease (5.69%), stroke (1.10%), cancer (2.18%), arthritis (5.04%), Alzheimer’s disease (0.18%), Parkinson’s disease (0.23%), brain injury (5.75%), cognitive impairment (5.39%) and depression status (3.28%). The mean scores for the Lawton-Brody Activities of Daily Living Scale and the Social Support Rate Scale were 14.15 and 39.54, respectively.Future plans 2000 new entrants from Luohu district will be recruited every year until 2028. The data collection is expected to be ended at the end of 2030. The data will be used to assess the causality of ageing-related disorders, especially neurological and mental disorders through integrating environmental, genetic and lifestyle factors. The data sets generated and/or analysed during the current study are not publicly available at this stage, but are available from the corresponding author on reasonable request.
