Elucidating the Relationship Between Body Fat Index and Pulmonary Health: Insights from Cross-Sectional Analysis and
Qing Zhang1, Zihui Wang1, Weijuan Liu1
1Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, People's Republic of China.
Objective:
To evaluate the relationship between body fat index and pulmonary health.
Methods:
In the multiethnic population-based cross-sectional study, a multivariable linear regression model was adapted to assess the association of fat mass/percentage with forced expiratory volume in 1 second (FEV1)/forced vital capacity (FVC). The Mendelian Randomization (MR) method was used to assess the causal associations of fat mass/percentage in specific body parts with FEV1 and COPD risk. Sensitivity analysis of MR was performed to assess the robustness of estimates.
Results:
In the cross-sectional analysis, a non-linear relationship was observed between fat mass and FEV1 without adjustment. After multivariate adjustment, the negative associations of fat mass/percentage with FEV1/FVC were found. In the MR study, genetically determined fat presented a negative causal effect on FEV1 (e.g., estimate = -0.170, P < 0.001 for left leg fat mass). The causal associations of genetically determined body fat with clinical diagnosis COPD were also determined (e.g., OR = 1.936, P < 0.001 per 1.9 kilograms increase in left leg fat mass).
Conclusion:
We present strong evidence on the causal relationship between body fat mass/percentage and both the deterioration of lung function and the increased risk of COPD. Additional efforts are required to mitigate the negative effects of body fat.
Related Concept Videos
Lung Capacity
Statistical Methods for Analyzing Epidemiological Data
Obesity


