School of Nursing, China Medical University, Shenyang, 110122, China.
Department of Endocrinology and Metabolism, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China.
Sci Rep. 2024 Oct 29;14(1):26019. doi: 10.1038/s41598-024-77855-z.
The Cardiometabolic Index (CMI) represents an innovative metric that encompasses abdominal obesity and lipid levels, offering a comprehensive assessment of cardiometabolic health. It is derived through the multiplication of the waist-to-height ratio by the triglyceride-to-high-density lipoprotein cholesterol ratio. Although obesity and blood lipid levels are known factors affecting sleep quality, the direct correlation between CMI and sleep quality has yet to be elucidated. This study uses NHANES data to explore the potential correlation between CMI and sleep quality. Our research employed a cross-sectional design, utilizing data from the National Health and Nutrition Examination Survey (NHANES) spanning 2011 to 2014. CMI was used as the exposure variable, with sleep quality assessed through three self-reported measures: trouble sleeping, sleep disorders, and sleep duration. We employed multivariate logistic regression models and linear regression model as well as subgroup analyses to explore the independent relationship between CMI and sleep quality. Additionally, interaction tests were conducted to examine differences across various subgroups. The study included 4298 participants, comprising 2134 males and 2164 females. There was a positive correlation between CMI and trouble sleeping (OR = 1.63, 95% CI 1.28-2.08) and sleep disorders (OR = 1.96, 95% CI 1.43-2.67), while there was a negative correlation between CMI and sleep duration (β = - 0.17, 95% CI - 0.31 to - 0.03), indicating that a higher CMI was associated with shorter sleep duration. Subgroup analyses and interaction tests revealed a consistently positive association between CMI and sleep difficulty across various populations, including gender, age, hypertension, diabetes, and cardiovascular disease history. However, the relationship between CMI and sleep disorders was more prominent among participants aged 50 and above. In American adults, a higher CMI is linked to an increased prevalence of sleep disturbances. In clinical practice, CMI can be considered as a supplementary factor in the assessment and management of sleep problems. Our study also provided new insights for improving sleep quality.
代谢心血管指数（CMI）代表了一种创新的指标，它包含了腹部肥胖和血脂水平，提供了对代谢心血管健康的全面评估。它是通过腰围与身高的比值乘以甘油三酯与高密度脂蛋白胆固醇的比值计算得出的。尽管肥胖和血脂水平是已知影响睡眠质量的因素，但 CMI 与睡眠质量之间的直接关联尚未阐明。本研究使用 NHANES 数据探讨了 CMI 与睡眠质量之间的潜在相关性。我们的研究采用了横断面设计，利用了 2011 年至 2014 年国家健康和营养检查调查（NHANES）的数据。CMI 作为暴露变量，睡眠质量通过三个自我报告的指标进行评估：睡眠困难、睡眠障碍和睡眠时间。我们使用多变量逻辑回归模型和线性回归模型以及亚组分析来探讨 CMI 与睡眠质量之间的独立关系。此外，还进行了交互测试，以检查不同亚组之间的差异。该研究纳入了 4298 名参与者，其中包括 2134 名男性和 2164 名女性。CMI 与睡眠困难（OR=1.63，95%CI 1.28-2.08）和睡眠障碍（OR=1.96，95%CI 1.43-2.67）呈正相关，而与睡眠时间（β=-0.17，95%CI-0.31 至-0.03）呈负相关，这表明较高的 CMI 与较短的睡眠时间有关。亚组分析和交互测试显示，CMI 与各种人群的睡眠困难之间存在一致的正相关，包括性别、年龄、高血压、糖尿病和心血管疾病史。然而，CMI 与睡眠障碍之间的关系在 50 岁及以上的参与者中更为明显。在美国成年人中，较高的 CMI 与睡眠障碍的患病率增加有关。在临床实践中，CMI 可以作为评估和管理睡眠问题的补充因素。我们的研究还为改善睡眠质量提供了新的见解。
