Key result
Higher weight-adjusted waist index linked to ~14% greater obstructive sleep apnea risk per unit.
Why the study?
Obesity is a major risk factor for obstructive sleep apnea, and the weight-adjusted-waist index reflects weight-independent centripetal obesity, prompting evaluation of their relationship.
Does a higher weight-adjusted waist index (WWI) increase the risk of obstructive sleep apnea (OSA) in US adults?
Cross-Sectional (n=8,048)
Does a higher weight-adjusted waist index (WWI) increase the risk of obstructive sleep apnea (OSA) in US adults?
Effect estimate: OR 1.14 (95% CI 1.06-1.23)
p-value: p=<0.001
Higher weight-adjusted waist index is significantly associated with an increased risk of obstructive sleep apnea, supported by both cross-sectional and Mendelian randomization analyses.
Background: Obesity is a significant risk factor for obstructive sleep apnea (OSA). The weight-adjusted-waist index (WWI) reflects weight-independent centripetal obesity. Our study aims to evaluate the relationship between WWI and OSA. Methods: The data used in the current cross-sectional investigation are from the National Health and Nutrition Examination Survey (NHANES), which was carried out between 2017 and 2020. We utilized weighted multivariable-adjusted logistic regression to evaluate the relationship between WWI and the risk of OSA. In addition, we applied various analytical methods, including subgroup analysis, smoothing curve fitting, threshold effect analysis and the receiver operating characteristic (ROC) curve. To further explore the relationship, we conducted a MR study using genome-wide association study (GWAS) summary statistics. We performed the main inverse variance weighting (IVW) method along with other supplementary MR methods. In addition, a meta-analysis was conducted to provide an overall evaluation. Results: WWI was positively related to OSA with the full adjustment [odds ratio (OR)=1.14, 95% confidence interval (95% CI): 1.06– 1.23, P < 0.001]. After converting WWI to a categorical variable by quartiles (Q1-Q4), compared to Q1 the highest WWI quartile was linked to an obviously increased likelihood of OSA (OR=1.26, 95% CI: 1.06– 1.50. P =0.01). Subgroup analysis revealed the stability of the independent positive relationship between WWI and OSA. Smoothing curve fitting identified a saturation effect of WWI and OSA, with an inflection point of 11.62. In addition, WWI had the strongest prediction for OSA (AUC=0.745). Sensitivity analysis was performed to verify the significantly positive connection between WWI and stricter OSA (OR=1.18, 95% CI: 1.05– 1.32, P =0.005). MR meta-analysis further supported our results (OR=2.11, 95% CI: 1.94– 2.30, P < 0.001). Sensitivity analysis confirmed the robustness and reliability of these findings. Conclusion: WWI was significantly associated with the risk of OSA, suggesting that WWI could potentially serve as a predictor for OSA.
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Wang et al. (2024) conducted a cross-sectional in Obstructive sleep apnea (OSA) (n=8,048). Weight-adjusted waist index (WWI) vs. Lower WWI levels was evaluated on Risk of obstructive sleep apnea (OR 1.14, 95% CI 1.06-1.23, p=<0.001). Higher weight-adjusted waist index was significantly associated with an increased risk of obstructive sleep apnea, with each unit increase in WWI raising the risk by 14% (OR 1.14).
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