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Obesity parameters in relation to lung function levels in a large Chinese rural adult population
Xiang Zeng, Dongling Liu, Zhen An, Huijun Li, Jie Song, Weidong Wu
Epidemiol Health. 2021;43:e2021047.   Published online August 3, 2021
DOI: https://doi.org/10.4178/epih.e2021047
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  • 9 Web of Science
  • 11 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
OBJECTIVES
The association between obesity parameters and lung function indicators in the general Chinese rural adult population remains unclear.
METHODS
In total, 8,284 Chinese adults aged 20 years to 80 years old from Xinxiang were recruited. Obesity-related parameters, including body mass index (BMI), waist circumference (WC), hip circumference (HC), waist-to-hip ratio (WHR), waistto-height ratio (WHtR), body fat percentage (BFP), basal metabolism, and visceral fat index, and lung function parameters such as forced vital capacity and forced expiratory volume in first second were measured.
RESULTS
The total prevalence of obesity defined by BMI, WC, WHR, WHtR, and BFP was 23.2%, 58.2%, 66.7%, 69.2%, and 56.5%, respectively. Spearman correlation analyses showed significant correlations between all obesity-related parameters and lung function. Linear regression analyses further demonstrated that BMI, WHtR, BFP, and general obesity defined using those indicators were negatively associated with lung function, while WC, WHR, and central obesity defined accordingly were positively associated with lung function. The relationship between general obesity and lung function was more evident in women than in men, while the link between central obesity and lung function was more obvious in men than in women.
CONCLUSIONS
Obesity is closely related to lung function in the general Chinese adult population. Weight control and loss are important strategies to improve lung function and respiratory health.
Summary
Key Message
This cross-sectional sduty clarify the relationship between several obesity parameters and lung function indicators on rural adult population in central China using big data and stratified analyses. Specifically, the obesity group has a lower level of lung function than the non-obesity group, and there is an opposite effect of general obesity and central obesity on lung function.

Citations

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    Yu-Yun Zhang, Wei Li, Yu Sheng, Qun Wang, Fang Zhao, Ying Wei
    Patient Preference and Adherence.2024; Volume 18: 111.     CrossRef
  • Association between waist circumference and lung function in American middle-aged and older adults: findings from NHANES 2007–2012
    Zichen Xu, Lingdan Zhuang, Lei Li, Luqing Jiang, Jianjun Huang, Daoqin Liu, Qiwen Wu
    Journal of Health, Population and Nutrition.2024;[Epub]     CrossRef
  • Exploring the correlation between body mass index and lung function test parameters: a cross-sectional analytical study
    Waheed Hussein Elsaidy, Sultan Abdullah Alzahrani, Sami Mohammed Boodai
    BMC Research Notes.2024;[Epub]     CrossRef
  • Air pollution associated acute respiratory inflammation and modification by GSTM1 and GSTT1 gene polymorphisms: a panel study of healthy undergraduates
    Xiang Zeng, Ge Tian, Jingfang Zhu, Fuyun Yang, Rui Zhang, Huijun Li, Zhen An, Juan Li, Jie Song, Jing Jiang, Dongling Liu, Weidong Wu
    Environmental Health.2023;[Epub]     CrossRef
  • The Mediating Role of Body Mass Index in the Association Between Age at First Childbirth and Lung Function Among Chinese Postmenopausal Women
    Gaili Wang, Huizi Tian, Kai Kang, Shixian Feng, Weihao Shao, Xiaorui Chen, Caifang Zheng, Bowen Zhang, Pei Pei, Weidong Zhang
    Clinical Epidemiology.2023; Volume 15: 289.     CrossRef
  • Pulmonary Function in Patients with Solitary Spinal Metastases: A Hospital-Based Cross-Sectional Study
    Fang Jia, Jingyu Zhang, Yongcheng Hu, Ping Li
    International Journal of General Medicine.2023; Volume 16: 1061.     CrossRef
  • BMI, sex and outcomes in hospitalised patients in western Sweden during the COVID-19 pandemic
    Martin Lindgren, Triantafyllia Toska, Christian Alex, Christina E. Lundberg, Ottmar Cronie, Annika Rosengren, Martin Adiels, Helen Sjöland
    Scientific Reports.2022;[Epub]     CrossRef
  • The Relationship Between BMI and Lung Function in Populations with Different Characteristics: A Cross-Sectional Study Based on the Enjoying Breathing Program in China
    Xingyao Tang, Jieping Lei, Wei Li, Yaodie Peng, Chen Wang, Ke Huang, Ting Yang
    International Journal of Chronic Obstructive Pulmonary Disease.2022; Volume 17: 2677.     CrossRef
  • The Chinese version of the revised Diabetes Distress Scale for adults with type 2 diabetes: Translation and validation study
    Yu-Yun Zhang, Wei Li, Yu Sheng
    International Journal of Nursing Sciences.2022; 9(2): 243.     CrossRef
  • Sex Differences in Spirometric Measures and its Association with Basal Metabolic Rate in Obese and Healthy Normal Weight Middle-Aged Subjects
    Afreen Begum H. Itagi, G. Y. Yunus, Ambrish Kalaskar, Pasang Tshering Dukpa, Dhruba Hari Chandi
    Indian Journal of Respiratory Care.2022; 11(1): 14.     CrossRef
  • Association of basal metabolic rate with respiratory function among middle-aged obese and nonobese subjects
    Afreen Begum H. Itagi, Ambrish Kalaskar, Pasang Tshering Dukpa, Dhruba Hari Chandi, G. Y. Yunus
    MGM Journal of Medical Sciences.2021; 8(4): 330.     CrossRef
Association of obesity indices with physiological markers for cardiovascular disease among middle age and elderly in Chuncheon : Hallym Aging Study
Jin Young Jeong, Jeong Hun Kim, Young Ho Choi, Soong Nang Jang, Yong Jun Choi, Dong Hyun Kim
Korean J Epidemiol. 2008;30(1):89-99.   Published online June 30, 2008
DOI: https://doi.org/10.4178/kje.2008.30.1.89
  • 48,297 View
  • 40 Download
  • 1 Crossref
AbstractAbstract PDF
Abstract
PURPOSE
This study was performed to evaluate association of obesity indices with physiological markers for cardiovascular disease(CVD) in community dwelling middle aged and elderly populations.
METHODS
We evaluated cross-sectional association of obesity indices with physiological markers for CVD using the data of Hallym Aging Study(HAS) conducted in 2004. Information on general characteristics and medical histories were collected by trained interviewers. Also obesity indices including waist circumference(WC), waist to hip ratio(WHR), body mass index(BMI), and body fat mass(BFM), and physiological markers of CVD including systolic blood pressure(SBP), diastolic blood pressure(DBP), triglyceride(TG), high density lipoprotein cholesterol(HDL-C), total cholesterol(TC), and fasting blood sugar(FBS) were measured by clinical staffs. 589 out of the 922 participated in HAS were enrolled in the final analysis, excluding 333 who had been diagnosed and medicated due to obesity-related diseases. Age and gender specific correlation coefficients between obesity indices and physiological markers for CVD were calculated by partial spearman correlations using SAS ver 9.1.
RESULTS
The strength of correlation of obesity indices and physiological markers of CVD changed with age. The correlations between SBP, DBP, TG and HDL-C and obesity indices were attenuated with age, whereas those of TC, FBS and LDL-C were increased among the elderly. These patterns were similar in both gender.
CONCLUSIONS
These findings show that more appropriate obesity indices according to age are needed to evaluate the association between these indices and CVD risks.
Summary

Citations

Citations to this article as recorded by  
  • What is the Most Reliable Obesity Iindex in Korean Elderly Population?
    June Hyung Yoon, Jongwoo Kim, Seon Yeong Lee, Kyunam Kim, In Young Cho, Young M Cho
    The Korean Journal of Obesity.2012; 21(3): 140.     CrossRef

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