Association between snoring and insulin levels in the US population: a cross-sectional study

医学 混淆 体质指数 肥胖 横断面研究 内科学 胰岛素 全国健康与营养检查调查 阻塞性睡眠呼吸暂停 人口 睡眠呼吸暂停 内分泌学 环境卫生 病理
作者
Kun Wang,Xuzhong Hu,Ziao Li,Michael Smolinski,Wenjie Xiao,Jinshen He
出处
期刊:Sleep and Breathing [Springer Science+Business Media]
卷期号:27 (3): 1185-1193 被引量:1
标识
DOI:10.1007/s11325-022-02709-9
摘要

PurposeSnoring may cause a number of problems such as tiredness, obesity, and even severe diseases, but the correlation between snoring and insulin secretion, which has important clinical significance, has rarely been studied. The objective of this study was to evaluate the correlation between snoring frequency and insulin secretion and discuss the potential mechanisms, thereby estimating the health condition of β-cells of individuals who snore.MethodsThe analyses used data from National Health and Nutrition Examination Survey (NHANES) from 2015 to 2018. A regression analysis was performed for snoring frequency and insulin concentration, and then multiple regression analyses excluded various factors related to insulin secretion, including age, sex, race, body mass index (BMI), factors indicating patients’ nutritional condition, and symptoms possibly implying obstructive sleep apnea. Subsequently, three hierarchical multiple regression analyses were carried out respectively based on sex, race, and BMI.ResultsAfter adjusting for confounding variables, snoring frequency was correlated with insulin concentration especially when snoring was at relatively high frequencies (e.g., more than 5 nights per week) (β = 1.77, 95%CI = 0.42–3.13, P = 0.010). The stratification analyses showed that high snoring frequency increased insulin secretion among women (β = 1.83, 95%CI = 0.05–3.62, P = 0.044), Hispanics (β = 3.28, 95%CI = 0.05–6.51, P = 0.047), and participants with BMI in the range > 30 kg/m2 (β = 3.77, 95%CI = 0.52–7.03, P = 0.023).ConclusionOur results suggest that snoring is likely to relate to an increase in insulin when severe, especially in women, Hispanics, and people with a BMI of more than 30 kg/m2.
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