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Obesity Parameters in Relation to Lung Function Levels in a Large Chinese Rural Adult Population

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Specialty Public Health
Date 2021 Aug 6
PMID 34353001
Citations 10
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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.

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References
1.
Bhatti U, Laghari Z, Syed B . Effect of Body Mass Index on respiratory parameters: A cross-sectional analytical Study. Pak J Med Sci. 2019; 35(6):1724-1729. PMC: 6861468. DOI: 10.12669/pjms.35.6.746. View

2.
Backman H, Eriksson B, Hedman L, Stridsman C, Jansson S, Sovijarvi A . Restrictive spirometric pattern in the general adult population: Methods of defining the condition and consequences on prevalence. Respir Med. 2016; 120:116-123. DOI: 10.1016/j.rmed.2016.10.005. View

3.
Kelly T, Yang W, Chen C, Reynolds K, He J . Global burden of obesity in 2005 and projections to 2030. Int J Obes (Lond). 2008; 32(9):1431-7. DOI: 10.1038/ijo.2008.102. View

4.
Davidson W, Mackenzie-Rife K, Witmans M, Montgomery M, Ball G, Egbogah S . Obesity negatively impacts lung function in children and adolescents. Pediatr Pulmonol. 2013; 49(10):1003-10. DOI: 10.1002/ppul.22915. View

5.
Jaacks L, Gordon-Larsen P, Mayer-Davis E, Adair L, Popkin B . Age, period and cohort effects on adult body mass index and overweight from 1991 to 2009 in China: the China Health and Nutrition Survey. Int J Epidemiol. 2013; 42(3):828-37. PMC: 3733700. DOI: 10.1093/ije/dyt052. View