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Cross-Sectional Associations between Body Mass Index and Hyperlipidemia among Adults in Northeastern China

Background: There is evidence that body mass index (BMI) is closely related to hyperlipidemia. This study aimed to estimate the cross-sectional relationship between Body Mass Index (BMI) and hyperlipidemia. Methods: We recruited 21,435 subjects (aged 18–79 years and residing in Jilin province, China...

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Autores principales: Rao, Wenwang, Su, Yingying, Yang, Guang, Ma, Yue, Liu, Rui, Zhang, Shangchao, Wang, Shibin, Fu, Yingli, Kou, Changgui, Yu, Yaqin, Yu, Qiong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4881141/
https://www.ncbi.nlm.nih.gov/pubmed/27213419
http://dx.doi.org/10.3390/ijerph13050516
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author Rao, Wenwang
Su, Yingying
Yang, Guang
Ma, Yue
Liu, Rui
Zhang, Shangchao
Wang, Shibin
Fu, Yingli
Kou, Changgui
Yu, Yaqin
Yu, Qiong
author_facet Rao, Wenwang
Su, Yingying
Yang, Guang
Ma, Yue
Liu, Rui
Zhang, Shangchao
Wang, Shibin
Fu, Yingli
Kou, Changgui
Yu, Yaqin
Yu, Qiong
author_sort Rao, Wenwang
collection PubMed
description Background: There is evidence that body mass index (BMI) is closely related to hyperlipidemia. This study aimed to estimate the cross-sectional relationship between Body Mass Index (BMI) and hyperlipidemia. Methods: We recruited 21,435 subjects (aged 18–79 years and residing in Jilin province, China) using the multistage stratified cluster random sampling method. Subjects were interviewed with a standardized questionnaire and physically examined. We analyzed the cross-sectional relationship between BMI and hyperlipidemia. Results: The prevalence of hyperlipidemia was 51.09% (52.04% in male and 50.21% in female). The prevalence of overweight and obesity was 31.89% and 6.23%, respectively. Our study showed that underweight (OR = 0.499, 95% CI: 0.426–0.585), overweight (OR = 2.587, 95% CI: 2.428–2.756), and obesity (OR = 3.614, 95% CI: 3.183–4.104) were significantly associated with hyperlipidemia (p < 0.001) in the age- and sex-adjusted logistic regression. After further adjusting for age, gender, region, district, ethnicity, education, marital status, main occupation, monthly family income per capita, smoking, drinking, exercise, central obesity, waist and hip, underweight (OR = 0.729, 95% CI: 0.616–0.864), overweight (OR = 1.651, 95% CI: 1.520–1.793), and obesity (OR = 1.714, 95% CI: 1.457–2.017) were independently associated with hyperlipidemia (p < 0.001). The restricted cubic spline model illustrated a nonlinear dose-response relationship between levels of BMI and the prevalence of hyperlipidemia (P(nonlinearity) < 0.001). Conclusion: Our study demonstrated that the continuous variance of BMI was significantly associated with the prevalence of hyperlipidemia.
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spelling pubmed-48811412016-05-27 Cross-Sectional Associations between Body Mass Index and Hyperlipidemia among Adults in Northeastern China Rao, Wenwang Su, Yingying Yang, Guang Ma, Yue Liu, Rui Zhang, Shangchao Wang, Shibin Fu, Yingli Kou, Changgui Yu, Yaqin Yu, Qiong Int J Environ Res Public Health Article Background: There is evidence that body mass index (BMI) is closely related to hyperlipidemia. This study aimed to estimate the cross-sectional relationship between Body Mass Index (BMI) and hyperlipidemia. Methods: We recruited 21,435 subjects (aged 18–79 years and residing in Jilin province, China) using the multistage stratified cluster random sampling method. Subjects were interviewed with a standardized questionnaire and physically examined. We analyzed the cross-sectional relationship between BMI and hyperlipidemia. Results: The prevalence of hyperlipidemia was 51.09% (52.04% in male and 50.21% in female). The prevalence of overweight and obesity was 31.89% and 6.23%, respectively. Our study showed that underweight (OR = 0.499, 95% CI: 0.426–0.585), overweight (OR = 2.587, 95% CI: 2.428–2.756), and obesity (OR = 3.614, 95% CI: 3.183–4.104) were significantly associated with hyperlipidemia (p < 0.001) in the age- and sex-adjusted logistic regression. After further adjusting for age, gender, region, district, ethnicity, education, marital status, main occupation, monthly family income per capita, smoking, drinking, exercise, central obesity, waist and hip, underweight (OR = 0.729, 95% CI: 0.616–0.864), overweight (OR = 1.651, 95% CI: 1.520–1.793), and obesity (OR = 1.714, 95% CI: 1.457–2.017) were independently associated with hyperlipidemia (p < 0.001). The restricted cubic spline model illustrated a nonlinear dose-response relationship between levels of BMI and the prevalence of hyperlipidemia (P(nonlinearity) < 0.001). Conclusion: Our study demonstrated that the continuous variance of BMI was significantly associated with the prevalence of hyperlipidemia. MDPI 2016-05-20 2016-05 /pmc/articles/PMC4881141/ /pubmed/27213419 http://dx.doi.org/10.3390/ijerph13050516 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Rao, Wenwang
Su, Yingying
Yang, Guang
Ma, Yue
Liu, Rui
Zhang, Shangchao
Wang, Shibin
Fu, Yingli
Kou, Changgui
Yu, Yaqin
Yu, Qiong
Cross-Sectional Associations between Body Mass Index and Hyperlipidemia among Adults in Northeastern China
title Cross-Sectional Associations between Body Mass Index and Hyperlipidemia among Adults in Northeastern China
title_full Cross-Sectional Associations between Body Mass Index and Hyperlipidemia among Adults in Northeastern China
title_fullStr Cross-Sectional Associations between Body Mass Index and Hyperlipidemia among Adults in Northeastern China
title_full_unstemmed Cross-Sectional Associations between Body Mass Index and Hyperlipidemia among Adults in Northeastern China
title_short Cross-Sectional Associations between Body Mass Index and Hyperlipidemia among Adults in Northeastern China
title_sort cross-sectional associations between body mass index and hyperlipidemia among adults in northeastern china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4881141/
https://www.ncbi.nlm.nih.gov/pubmed/27213419
http://dx.doi.org/10.3390/ijerph13050516
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