Xue Fei, Zhou Yating
Kunshan Hospital of Traditional Chinese Medicine, 388 Zuchongzhi South Road, Kunshan City, Suzhou, Jiangsu, China.
Sci Rep. 2024 Dec 2;14(1):29971. doi: 10.1038/s41598-024-81721-3.
Nocturia, marked by frequent nighttime urination, significantly impacts quality of life. This study explores the association of METS-IR (Metabolic Score for Insulin Resistance) and ABSI (A Body Shape Index) with nocturia, using data from the National Health and Nutrition Examination Survey (NHANES). A cross-sectional analysis of NHANES data from 2005 to 2020 was performed. Multivariable logistic regression assessed the associations between METS-IR, ABSI, and nocturia, adjusting for demographic characteristics, chronic diseases, and lifestyle factors. Generalized additive models and smoothing splines were used to describe relationship dynamics. Among the 16,450 participants, both METS-IR (OR = 1.15, 95% CI: 1.11-1.20, p < 0.0001) and ABSI (OR = 1.14, 95% CI: 1.10-1.19, p < 0.0001) were significantly associated with nocturia based on z-scores. An incremental rise in the quartiles of METS-IR and ABSI was associated with a higher risk of nocturia. Specifically, compared to the lowest quartile (Q1), participants in the highest quartile (Q4) had an OR of 1.45 (95% CI: 1.30-1.61, p < 0.0001) for METS-IR and 1.38 (95% CI: 1.23-1.55, p < 0.0001) for ABSI. Subgroup analyses showed a stronger association between ABSI and nocturia among individuals living alone and those aged 20-38 years. Nonlinear modeling indicated a threshold effect for ABSI, with nocturia risk significantly increasing when ABSI exceeded 76.2. Higher METS-IR and ABSI indices are closely linked to a greater prevalence of nocturia, indicating that these indices can be valuable in clinical assessments for evaluating nocturia risk and supporting preventive strategies.
夜尿症以夜间频繁排尿为特征,严重影响生活质量。本研究利用美国国家健康与营养检查调查(NHANES)的数据,探讨胰岛素抵抗代谢评分(METS-IR)和体型指数(ABSI)与夜尿症之间的关联。对2005年至2020年的NHANES数据进行了横断面分析。多变量逻辑回归评估了METS-IR、ABSI与夜尿症之间的关联,并对人口统计学特征、慢性疾病和生活方式因素进行了调整。使用广义相加模型和平滑样条来描述关系动态。在16450名参与者中,基于z分数,METS-IR(优势比[OR]=1.15,95%置信区间[CI]:1.11-1.20,p<0.0001)和ABSI(OR=1.14,95%CI:1.10-1.19,p<0.0001)均与夜尿症显著相关。METS-IR和ABSI四分位数的递增与夜尿症风险升高相关。具体而言,与最低四分位数(Q1)相比,最高四分位数(Q4)的参与者中,METS-IR的OR为1.45(95%CI:1.30-1.61,p<0.0001),ABSI的OR为1.38(95%CI:1.23-1.55,p<0.0001)。亚组分析显示,在独居者和20-38岁人群中,ABSI与夜尿症之间的关联更强。非线性建模表明ABSI存在阈值效应,当ABSI超过76.2时,夜尿症风险显著增加。较高的METS-IR和ABSI指数与夜尿症的较高患病率密切相关,表明这些指数在评估夜尿症风险和支持预防策略的临床评估中可能具有价值。