Medical School, Shenzhen University, 1066 Xueyuan Road, Shenzhen, Guangdong Province, 518060, China.
Health Management Centre, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong Province, 518020, China.
Urolithiasis. 2024 Aug 21;52(1):118. doi: 10.1007/s00240-024-01617-9.
The present study aims to explore the potential changing trajectory patterns of body mass index (BMI) for Chinese young adults and identify the relationship of BMI trajectory patterns with kidney stone disease (KSD) incidence. Latent class growth analysis was used to identify distinct trajectories of BMI during young adulthood. Cox proportion hazard models were conducted to explore the association between the BMI trajectory group memberships and incident KSD. Subgroup and sensitivity analyses were undertaken to test the robustness of the findings. In total, 2,966 young adults who attended at least three annual check-ups from 2014 to 2021 without KSD at baseline were enrolled in the cohort analysis. Three district BMI trajectories were identified for young adults, labeled as low-stable in normal BMI (28.5%), medium-rising to high BMI (67.4%), and rapid-rising to high BMI (4.1%). Compared with the low-stable in normal BMI group, Hazard ratios (HRs) of the rapid-rising and medium-rising to high BMI groups were 3.19 (95% CI: 1.54-6.63) and 1.78 (95% CI: 1.08-2.92) after adjusting the covariates. The cumulative incidence curves likewise illustrated that young adults in the rapid-rising to high BMI group had the highest risk of developing KSD compared to the other two groups. The rapid BMI growth trajectories during young adulthood were identified to be independently associated with a higher risk of KSD. The findings supplied novel insights that monitoring the BMI changing pattern may be favorable to early intervention of KSD during young adulthood.
本研究旨在探讨中国年轻成年人体重指数(BMI)潜在的变化轨迹模式,并确定 BMI 轨迹模式与肾结石病(KSD)发病之间的关系。采用潜在类别增长分析来识别年轻成年人时期 BMI 的不同轨迹。使用 Cox 比例风险模型探讨 BMI 轨迹组与 KSD 发病之间的关联。进行亚组和敏感性分析以检验结果的稳健性。共纳入了 2966 名年轻成年人,他们在 2014 年至 2021 年期间至少参加了三次年度体检,且基线时没有 KSD。对这些年轻成年人进行了 BMI 轨迹的区组分析,发现了三种 BMI 轨迹模式,分别为正常 BMI 的低稳定组(28.5%)、中高 BMI 的中升高组(67.4%)和高 BMI 的快速升高组(4.1%)。与低稳定的正常 BMI 组相比,快速升高和中升高至高 BMI 组的风险比(HRs)分别为 3.19(95%CI:1.54-6.63)和 1.78(95%CI:1.08-2.92),调整了协变量后。累积发病率曲线也表明,与其他两组相比,快速升高至高 BMI 组的年轻成年人发生 KSD 的风险最高。年轻成年人 BMI 的快速增长轨迹与 KSD 风险的增加独立相关。这些发现提供了新的见解,即监测 BMI 的变化模式可能有利于在年轻成年人时期对 KSD 进行早期干预。