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Study design and baseline characteristics of Shenzhen ageing-related disorder cohort in 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...

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Autores principales: Liu, Li, Liu, Wei, Nie, Lulin, Guo, Zhiwei, Luo, Yi, Chen, Weihong, Liu, Weimin, Zhu, Feiqi, Wang, Lu, Zhang, Jiafei, Wang, Xian, Li, Tian, Gao, Erwei, Zhou, Li, He, Kaiwu, Huang, Yidan, Yuan, Chunjie, Zhu, Qingqing, Ye, Fang, Yu, Xingchen, Yuan, Jing, Liu, Jianjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7307537/
https://www.ncbi.nlm.nih.gov/pubmed/32565452
http://dx.doi.org/10.1136/bmjopen-2019-034317
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author Liu, Li
Liu, Wei
Nie, Lulin
Guo, Zhiwei
Luo, Yi
Chen, Weihong
Liu, Weimin
Zhu, Feiqi
Wang, Lu
Zhang, Jiafei
Wang, Xian
Li, Tian
Gao, Erwei
Zhou, Li
He, Kaiwu
Huang, Yidan
Yuan, Chunjie
Zhu, Qingqing
Ye, Fang
Yu, Xingchen
Yuan, Jing
Liu, Jianjun
author_facet Liu, Li
Liu, Wei
Nie, Lulin
Guo, Zhiwei
Luo, Yi
Chen, Weihong
Liu, Weimin
Zhu, Feiqi
Wang, Lu
Zhang, Jiafei
Wang, Xian
Li, Tian
Gao, Erwei
Zhou, Li
He, Kaiwu
Huang, Yidan
Yuan, Chunjie
Zhu, Qingqing
Ye, Fang
Yu, Xingchen
Yuan, Jing
Liu, Jianjun
author_sort Liu, Li
collection PubMed
description 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.
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spelling pubmed-73075372020-06-23 Study design and baseline characteristics of Shenzhen ageing-related disorder cohort in China Liu, Li Liu, Wei Nie, Lulin Guo, Zhiwei Luo, Yi Chen, Weihong Liu, Weimin Zhu, Feiqi Wang, Lu Zhang, Jiafei Wang, Xian Li, Tian Gao, Erwei Zhou, Li He, Kaiwu Huang, Yidan Yuan, Chunjie Zhu, Qingqing Ye, Fang Yu, Xingchen Yuan, Jing Liu, Jianjun BMJ Open Epidemiology 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. BMJ Publishing Group 2020-06-21 /pmc/articles/PMC7307537/ /pubmed/32565452 http://dx.doi.org/10.1136/bmjopen-2019-034317 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Epidemiology
Liu, Li
Liu, Wei
Nie, Lulin
Guo, Zhiwei
Luo, Yi
Chen, Weihong
Liu, Weimin
Zhu, Feiqi
Wang, Lu
Zhang, Jiafei
Wang, Xian
Li, Tian
Gao, Erwei
Zhou, Li
He, Kaiwu
Huang, Yidan
Yuan, Chunjie
Zhu, Qingqing
Ye, Fang
Yu, Xingchen
Yuan, Jing
Liu, Jianjun
Study design and baseline characteristics of Shenzhen ageing-related disorder cohort in China
title Study design and baseline characteristics of Shenzhen ageing-related disorder cohort in China
title_full Study design and baseline characteristics of Shenzhen ageing-related disorder cohort in China
title_fullStr Study design and baseline characteristics of Shenzhen ageing-related disorder cohort in China
title_full_unstemmed Study design and baseline characteristics of Shenzhen ageing-related disorder cohort in China
title_short Study design and baseline characteristics of Shenzhen ageing-related disorder cohort in China
title_sort study design and baseline characteristics of shenzhen ageing-related disorder cohort in china
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7307537/
https://www.ncbi.nlm.nih.gov/pubmed/32565452
http://dx.doi.org/10.1136/bmjopen-2019-034317
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