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Cohort profile: the Liyang cohort study on chronic diseases and risk factors monitoring in China (Liyang Study)

PURPOSE: The Liyang cohort study on chronic diseases and risk factors monitoring in China (Liyang Study) is a prospective population-based study which aims to investigate and identify the determinants of the most prevalent chronic non-communicable diseases (NCDs) and to evaluate the impact of demogr...

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Autores principales: Zhou, Liang, Hu, Wei, Liu, Siyuan, Qiao, Yanan, He, Dingliu, Xiong, Shuting, Peng, Liuming, Cao, Lei, Wu, Ying, Sun, Na, Han, Qiang, Chu, Jiadong, Chen, Xuanli, Li, Tongxing, Feng, Zhaolong, He, Qida, Ke, Chaofu, Shen, Yueping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9297217/
https://www.ncbi.nlm.nih.gov/pubmed/35851009
http://dx.doi.org/10.1136/bmjopen-2022-060978
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author Zhou, Liang
Hu, Wei
Liu, Siyuan
Qiao, Yanan
He, Dingliu
Xiong, Shuting
Peng, Liuming
Cao, Lei
Wu, Ying
Sun, Na
Han, Qiang
Chu, Jiadong
Chen, Xuanli
Li, Tongxing
Feng, Zhaolong
He, Qida
Ke, Chaofu
Shen, Yueping
author_facet Zhou, Liang
Hu, Wei
Liu, Siyuan
Qiao, Yanan
He, Dingliu
Xiong, Shuting
Peng, Liuming
Cao, Lei
Wu, Ying
Sun, Na
Han, Qiang
Chu, Jiadong
Chen, Xuanli
Li, Tongxing
Feng, Zhaolong
He, Qida
Ke, Chaofu
Shen, Yueping
author_sort Zhou, Liang
collection PubMed
description PURPOSE: The Liyang cohort study on chronic diseases and risk factors monitoring in China (Liyang Study) is a prospective population-based study which aims to investigate and identify the determinants of the most prevalent chronic non-communicable diseases (NCDs) and to evaluate the impact of demographic characteristics, lifestyle, dietary habits, cognition, disability and NCDs on the health-related quality of life. PARTICIPANTS: Between March 2019 and June 2020, 10 056 individuals aged ≥18 years were administered a baseline survey through a multistage cluster random sampling in Liyang City, southern Jiangsu Province, China. FINDINGS TO DATE: The Liyang Study included detailed sociodemographic, anthropometric and health-related behaviour, common NCDs and blood sample information. Moreover, the study gathered a series of data on specific scales including the activities of daily living, instrumental activities of daily living, abbreviated mental test, Food Frequency Questionnaire and EuroQol 5-Dimensions 5-Levels Scale. Of the 10 056 participants, 52.92% (n=5322) were female and 92.26% (n=9278) came from rural areas. The mean age was 49.9±16.2 years. Men were more likely to have a higher level of education, annual income and a paid job than women (p<0.05). The top three overall most prevalent NCDs in the study were hypertension (18.06%, n=1815), digestive diseases (7.88%, n=791), and arthritis or rheumatism (5.28%, n=530). Women had a significantly higher prevalence of diabetes (5.46%, n=290 vs 4.42%, n=209, p=0.016) and arthritis (6.04%, n=321 vs 4.42%, n=209, p<0.001) than men, while the opposite was true for chronic lung diseases such as chronic obstructive pulmonary disease (1.37%, n=65 vs 0.92%, n=49, p=0.032) and chronic hepatic diseases (0.80%, n=38 vs 0.47%, n=25, p=0.035). FUTURE PLANS: The current study will give valuable insights into the association between sociodemographic factors, health-related behaviour, diet, cognition, disability and genetic factors and the most prevalent NCDs among local community residents. Starting from 2022, a follow-up survey will be conducted every 3 years to further explore the causal relationship between the above factors and NCDs.
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spelling pubmed-92972172022-08-09 Cohort profile: the Liyang cohort study on chronic diseases and risk factors monitoring in China (Liyang Study) Zhou, Liang Hu, Wei Liu, Siyuan Qiao, Yanan He, Dingliu Xiong, Shuting Peng, Liuming Cao, Lei Wu, Ying Sun, Na Han, Qiang Chu, Jiadong Chen, Xuanli Li, Tongxing Feng, Zhaolong He, Qida Ke, Chaofu Shen, Yueping BMJ Open Epidemiology PURPOSE: The Liyang cohort study on chronic diseases and risk factors monitoring in China (Liyang Study) is a prospective population-based study which aims to investigate and identify the determinants of the most prevalent chronic non-communicable diseases (NCDs) and to evaluate the impact of demographic characteristics, lifestyle, dietary habits, cognition, disability and NCDs on the health-related quality of life. PARTICIPANTS: Between March 2019 and June 2020, 10 056 individuals aged ≥18 years were administered a baseline survey through a multistage cluster random sampling in Liyang City, southern Jiangsu Province, China. FINDINGS TO DATE: The Liyang Study included detailed sociodemographic, anthropometric and health-related behaviour, common NCDs and blood sample information. Moreover, the study gathered a series of data on specific scales including the activities of daily living, instrumental activities of daily living, abbreviated mental test, Food Frequency Questionnaire and EuroQol 5-Dimensions 5-Levels Scale. Of the 10 056 participants, 52.92% (n=5322) were female and 92.26% (n=9278) came from rural areas. The mean age was 49.9±16.2 years. Men were more likely to have a higher level of education, annual income and a paid job than women (p<0.05). The top three overall most prevalent NCDs in the study were hypertension (18.06%, n=1815), digestive diseases (7.88%, n=791), and arthritis or rheumatism (5.28%, n=530). Women had a significantly higher prevalence of diabetes (5.46%, n=290 vs 4.42%, n=209, p=0.016) and arthritis (6.04%, n=321 vs 4.42%, n=209, p<0.001) than men, while the opposite was true for chronic lung diseases such as chronic obstructive pulmonary disease (1.37%, n=65 vs 0.92%, n=49, p=0.032) and chronic hepatic diseases (0.80%, n=38 vs 0.47%, n=25, p=0.035). FUTURE PLANS: The current study will give valuable insights into the association between sociodemographic factors, health-related behaviour, diet, cognition, disability and genetic factors and the most prevalent NCDs among local community residents. Starting from 2022, a follow-up survey will be conducted every 3 years to further explore the causal relationship between the above factors and NCDs. BMJ Publishing Group 2022-07-18 /pmc/articles/PMC9297217/ /pubmed/35851009 http://dx.doi.org/10.1136/bmjopen-2022-060978 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://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/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Epidemiology
Zhou, Liang
Hu, Wei
Liu, Siyuan
Qiao, Yanan
He, Dingliu
Xiong, Shuting
Peng, Liuming
Cao, Lei
Wu, Ying
Sun, Na
Han, Qiang
Chu, Jiadong
Chen, Xuanli
Li, Tongxing
Feng, Zhaolong
He, Qida
Ke, Chaofu
Shen, Yueping
Cohort profile: the Liyang cohort study on chronic diseases and risk factors monitoring in China (Liyang Study)
title Cohort profile: the Liyang cohort study on chronic diseases and risk factors monitoring in China (Liyang Study)
title_full Cohort profile: the Liyang cohort study on chronic diseases and risk factors monitoring in China (Liyang Study)
title_fullStr Cohort profile: the Liyang cohort study on chronic diseases and risk factors monitoring in China (Liyang Study)
title_full_unstemmed Cohort profile: the Liyang cohort study on chronic diseases and risk factors monitoring in China (Liyang Study)
title_short Cohort profile: the Liyang cohort study on chronic diseases and risk factors monitoring in China (Liyang Study)
title_sort cohort profile: the liyang cohort study on chronic diseases and risk factors monitoring in china (liyang study)
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9297217/
https://www.ncbi.nlm.nih.gov/pubmed/35851009
http://dx.doi.org/10.1136/bmjopen-2022-060978
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