Cargando…

Hyperuricaemia and associated factors among the oldest-old population in the urban areas of Chengdu, China: a community-based cross-sectional study

OBJECTIVES: To investigate the prevalence of hyperuricaemia among the oldest-old persons in Chengdu and identify associated factors to provide information on achieving healthy ageing in China. Design A community-based cross-sectional study. SETTING: Jinjiang, Qingyang, Longquanyi locating in the sou...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Xiang-Ji, Zhang, Wenqiang, Yuan, Rui-Li, Huang, Xiao-Bo, Liu, Ya, Xu, Rong-Hua, Wei, Dong, Tang, Wei-Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8719210/
http://dx.doi.org/10.1136/bmjopen-2021-055881
_version_ 1784624889051742208
author Chen, Xiang-Ji
Zhang, Wenqiang
Yuan, Rui-Li
Huang, Xiao-Bo
Liu, Ya
Xu, Rong-Hua
Wei, Dong
Tang, Wei-Wei
author_facet Chen, Xiang-Ji
Zhang, Wenqiang
Yuan, Rui-Li
Huang, Xiao-Bo
Liu, Ya
Xu, Rong-Hua
Wei, Dong
Tang, Wei-Wei
author_sort Chen, Xiang-Ji
collection PubMed
description OBJECTIVES: To investigate the prevalence of hyperuricaemia among the oldest-old persons in Chengdu and identify associated factors to provide information on achieving healthy ageing in China. Design A community-based cross-sectional study. SETTING: Jinjiang, Qingyang, Longquanyi locating in the southeast, the northwest and the east of Chengdu, respectively, were chosen as the study sites. PARTICIPANTS: A representative sample of 1391 people aged over 80 years were enrolled from September 2015 to June 2016, and 106 participants were excluded due to missing information. Thus, a total of 1285 participants were analysed in this study. OUTCOME MEASURES: Hyperuricaemia was defined as serum uric acid >420 µmol/L in men or serum uric acid >360 µmol/L in women. A univariable logistic regression model and a multivariable logistic regression model were used to estimate the ORs and 95% CI to explore the associated risk factors of hyperuricaemia. RESULTS: The overall prevalence of hyperuricaemia among the oldest-old was 29.6%. There was no significant sex difference in the prevalence of hyperuricaemia, 29.1% in men vs 30.0% in women (p>0.05). Hyperlipidaemia and overweight were associated with the risk of hyperuricaemia both in men (OR 1.86; 95% CI 1.27 to 2.72; OR 2.44; 95% CI 1.42 to 4.19) and in women (OR 1.78; 95% CI 1.23 to 2.58; OR 2.95; 95% CI 1.89 to 4.61). Additionally, diabetes mellitus was associated with an increased prevalence of hyperuricaemia only in women (OR 1.99; 95% CI: 1.34 to 2.97). CONCLUSION: The burden of hyperuricaemia is substantial among the oldest-old population in the urban areas of Chengdu, China.
format Online
Article
Text
id pubmed-8719210
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher BMJ Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-87192102022-01-12 Hyperuricaemia and associated factors among the oldest-old population in the urban areas of Chengdu, China: a community-based cross-sectional study Chen, Xiang-Ji Zhang, Wenqiang Yuan, Rui-Li Huang, Xiao-Bo Liu, Ya Xu, Rong-Hua Wei, Dong Tang, Wei-Wei BMJ Open Epidemiology OBJECTIVES: To investigate the prevalence of hyperuricaemia among the oldest-old persons in Chengdu and identify associated factors to provide information on achieving healthy ageing in China. Design A community-based cross-sectional study. SETTING: Jinjiang, Qingyang, Longquanyi locating in the southeast, the northwest and the east of Chengdu, respectively, were chosen as the study sites. PARTICIPANTS: A representative sample of 1391 people aged over 80 years were enrolled from September 2015 to June 2016, and 106 participants were excluded due to missing information. Thus, a total of 1285 participants were analysed in this study. OUTCOME MEASURES: Hyperuricaemia was defined as serum uric acid >420 µmol/L in men or serum uric acid >360 µmol/L in women. A univariable logistic regression model and a multivariable logistic regression model were used to estimate the ORs and 95% CI to explore the associated risk factors of hyperuricaemia. RESULTS: The overall prevalence of hyperuricaemia among the oldest-old was 29.6%. There was no significant sex difference in the prevalence of hyperuricaemia, 29.1% in men vs 30.0% in women (p>0.05). Hyperlipidaemia and overweight were associated with the risk of hyperuricaemia both in men (OR 1.86; 95% CI 1.27 to 2.72; OR 2.44; 95% CI 1.42 to 4.19) and in women (OR 1.78; 95% CI 1.23 to 2.58; OR 2.95; 95% CI 1.89 to 4.61). Additionally, diabetes mellitus was associated with an increased prevalence of hyperuricaemia only in women (OR 1.99; 95% CI: 1.34 to 2.97). CONCLUSION: The burden of hyperuricaemia is substantial among the oldest-old population in the urban areas of Chengdu, China. BMJ Publishing Group 2021-12-30 /pmc/articles/PMC8719210/ http://dx.doi.org/10.1136/bmjopen-2021-055881 Text en © Author(s) (or their employer(s)) 2021. 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
Chen, Xiang-Ji
Zhang, Wenqiang
Yuan, Rui-Li
Huang, Xiao-Bo
Liu, Ya
Xu, Rong-Hua
Wei, Dong
Tang, Wei-Wei
Hyperuricaemia and associated factors among the oldest-old population in the urban areas of Chengdu, China: a community-based cross-sectional study
title Hyperuricaemia and associated factors among the oldest-old population in the urban areas of Chengdu, China: a community-based cross-sectional study
title_full Hyperuricaemia and associated factors among the oldest-old population in the urban areas of Chengdu, China: a community-based cross-sectional study
title_fullStr Hyperuricaemia and associated factors among the oldest-old population in the urban areas of Chengdu, China: a community-based cross-sectional study
title_full_unstemmed Hyperuricaemia and associated factors among the oldest-old population in the urban areas of Chengdu, China: a community-based cross-sectional study
title_short Hyperuricaemia and associated factors among the oldest-old population in the urban areas of Chengdu, China: a community-based cross-sectional study
title_sort hyperuricaemia and associated factors among the oldest-old population in the urban areas of chengdu, china: a community-based cross-sectional study
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8719210/
http://dx.doi.org/10.1136/bmjopen-2021-055881
work_keys_str_mv AT chenxiangji hyperuricaemiaandassociatedfactorsamongtheoldestoldpopulationintheurbanareasofchengduchinaacommunitybasedcrosssectionalstudy
AT zhangwenqiang hyperuricaemiaandassociatedfactorsamongtheoldestoldpopulationintheurbanareasofchengduchinaacommunitybasedcrosssectionalstudy
AT yuanruili hyperuricaemiaandassociatedfactorsamongtheoldestoldpopulationintheurbanareasofchengduchinaacommunitybasedcrosssectionalstudy
AT huangxiaobo hyperuricaemiaandassociatedfactorsamongtheoldestoldpopulationintheurbanareasofchengduchinaacommunitybasedcrosssectionalstudy
AT liuya hyperuricaemiaandassociatedfactorsamongtheoldestoldpopulationintheurbanareasofchengduchinaacommunitybasedcrosssectionalstudy
AT xuronghua hyperuricaemiaandassociatedfactorsamongtheoldestoldpopulationintheurbanareasofchengduchinaacommunitybasedcrosssectionalstudy
AT weidong hyperuricaemiaandassociatedfactorsamongtheoldestoldpopulationintheurbanareasofchengduchinaacommunitybasedcrosssectionalstudy
AT tangweiwei hyperuricaemiaandassociatedfactorsamongtheoldestoldpopulationintheurbanareasofchengduchinaacommunitybasedcrosssectionalstudy