Wang Weifei, Chen Zhong, Zhang Wenyuan, Yuan Rui, Sun Yaqi, Yao Qi, Lu Jian, Zheng Jungang
Department of Gerontology, The First Affiliated Hospital of Ningbo University, Zhejiang, China.
Department of Anesthesiology, Beilun District People's Hospital, Ningbo, Zhejiang, China.
Front Nutr. 2024 Aug 29;11:1401477. doi: 10.3389/fnut.2024.1401477. eCollection 2024.
The available data exhibit inconsistent findings regarding the association between obesity and sleep problems among older adults. The objective of this study was to assess the potential association between obesity and sleep disorders in the older population.
The data utilised in this cross-sectional investigation was obtained from the National Health and Nutritional Examination Survey (NHANES) conducted between 2005 and 2018. The study employed a multivariate logistic regression model and conducted subgroup analysis to evaluate the association between obesity and sleep disturbance.
The investigation consisted of 2,570 older people who provided complete information, out of which 324 individuals satisfied the criteria for sleep disturbance. The findings from the multivariable adjusted logistic regression model indicate that individuals in the overweight and normal weight groups exhibited decreased odds of experiencing sleep disorder, as evidenced by the adjusted odds ratios (AOR) of 0.46 (95% confidence interval [CI] = 0.34-0.61) and 0.33 (95% CI = 0.22-0.47), respectively. These results were statistically significant ( < 0.001) when compared to individuals in the obese group. The investigation of age and gender subgroups demonstrated similar associations between various BMI categories and sleep disorders in the older population.
In summary, there exists a correlation between obesity and sleep disorders in the senior population. A significant association was observed between BMI and the likelihood of experiencing sleep disorders, indicating a dose-response relationship. Individuals with a higher BMI demonstrated a heightened likelihood of experiencing sleep disorders compared to those with a lower BMI.
现有数据显示,关于老年人肥胖与睡眠问题之间的关联,研究结果并不一致。本研究的目的是评估老年人群中肥胖与睡眠障碍之间的潜在关联。
本横断面调查所使用的数据来自2005年至2018年进行的美国国家健康和营养检查调查(NHANES)。该研究采用多变量逻辑回归模型,并进行亚组分析以评估肥胖与睡眠障碍之间的关联。
该调查包括2570名提供完整信息的老年人,其中324人符合睡眠障碍标准。多变量调整逻辑回归模型的结果表明,超重和正常体重组的个体出现睡眠障碍的几率降低,调整后的优势比(AOR)分别为0.46(95%置信区间[CI]=0.34-0.61)和0.33(95%CI=0.22-0.47)。与肥胖组个体相比,这些结果具有统计学意义(<0.001)。对年龄和性别亚组的调查表明,老年人群中不同BMI类别与睡眠障碍之间存在相似的关联。
总之,老年人群中肥胖与睡眠障碍之间存在相关性。观察到BMI与出现睡眠障碍的可能性之间存在显著关联,表明存在剂量反应关系。与BMI较低的个体相比,BMI较高的个体出现睡眠障碍的可能性更高。