Shen Ziyi, Li Chengcheng, Fang Yan, Chen Hongxu, Song Yongxia, Cui Junling, Luo Xin, Liu Yanchang, Zhong Fei, Hong Jingfang
School of Nursing, Anhui Medical University, No. 81 Mei Shan Road, Shu Shan District, Hefei, 230032, Anhui, China.
Cancer Department, Fuyang Hospital, Anhui Medical University, Hefei, China.
Sci Rep. 2025 Feb 22;15(1):6469. doi: 10.1038/s41598-025-91232-4.
Adverse childhood experiences (ACEs) among middle-aged and elderly individuals may influence the subsequent occurrence of chronic kidney disease (CKD). We aim to investigate the association between ACEs and CKD among the middle-aged and elderly populations in China. The prospective cohort longitudinal study examined baseline data from the China Health and Retirement Longitudinal Study (CHARLS) from June 1 to December 31, 2014. Subsequent follow-up surveys were conducted in 2015, 2018, and 2020. The study population consisted of 4063 participants aged at least 45 years, who had CKD data and information on the 16 complete ACEs indicators included in this study. Utilizing correlation analysis to explore the relationship between CKD and the total score of ACEs, as well as the three dimensions (Conventional ACEs, Expanded ACEs, and New ACEs), along with specific items. The correlation between individual ACEs, disease-related factors, and CKD was examined using binary logistic regression models. Valuable diagnostic factors were then identified through the use of ROC curves. A Cox proportional hazards regression model, with age as the timescale and ACEs groups as covariates, was established to investigate the relationship between age-related CKD occurrence and ACE groups as individuals aged. Among the 4063 participants included in the analysis, in patients with CKD, the male proportion is 85 (64.9%), and the female proportion is 46 (35.1%). Of the participants, 2332 experienced at least two Conventional ACEs, 3786 experienced at least two Expanded ACEs, and 2774 experienced at least one New ACE. Factors influencing the occurrence of CKD in participants included Conventional ACEs 5 (OR 1.742; 95% CI 1.115-2.721; P = 0.015), Conventional ACEs 6 (OR 1.581; 95% CI 1.024-2.442; P = 0.039), Conventional ACEs 9 (OR 2.190; 95% CI 1.288-3.725; P = 0.004), Expanded ACEs 3 (OR 0.195; 95% CI 0.085-0.444; P < 0.001), memory-related disease (OR 3.297; 95% CI 1.140-9.538; P = 0.028), dyslipidemia (OR 2.536; 95% CI 1.521-4.230; P < 0.001), cancer (OR 6.369; 95% CI 2.464-16.461; P < 0.001), chronic lung disease (OR 2.261; 95% CI 1.091-4.684; P = 0.028), and liver disease (OR 3.050; 95% CI 1.432-6.497; P = 0.004). These three models showed significant statistical differences in CKD, the Conventional ACEs, and the New ACEs. In Model 1, 2, and 3, the risk was higher for individuals exposed to the Conventional ACEs group, indicating an increased likelihood of developing CKD, the risk was lower for individuals exposed to the New ACEs group, suggesting a reduced likelihood of developing CKD. ROC curve analysis of these variables showed that CA5, CA6, CA9, dyslipidemia had significant diagnostic value for the occurrence of CKD. The accuracy of diagnosis was CA5 (57.0%), CA6 (58.3%), CA9 (59.4%), and dyslipidemia (59.8%). This study, through longitudinal investigation, has identified potential links between ACEs and disease-related factors with CKD. These findings can still provide assistance to clinicians and public health administrators, helping them understand the association between ACEs and CKD, and offering theoretical support for their clinical decision-making or development of public health policies.
中年及老年人群童年期不良经历(ACEs)可能影响随后慢性肾脏病(CKD)的发生。我们旨在调查中国中年及老年人群中ACEs与CKD之间的关联。这项前瞻性队列纵向研究分析了中国健康与养老追踪调查(CHARLS)2014年6月1日至12月31日的基线数据。随后在2015年、2018年和2020年进行了随访调查。研究人群包括4063名年龄至少45岁的参与者,他们有CKD数据以及本研究中包含的16项完整ACEs指标的信息。利用相关性分析来探索CKD与ACEs总分之间的关系,以及三个维度(传统ACEs、扩展ACEs和新增ACEs)以及具体项目之间的关系。使用二元逻辑回归模型检验个体ACEs、疾病相关因素与CKD之间的相关性。然后通过ROC曲线确定有价值的诊断因素。建立以年龄为时间尺度、ACEs组为协变量的Cox比例风险回归模型,以研究随着个体年龄增长,与年龄相关的CKD发生与ACEs组之间的关系。在纳入分析的4063名参与者中,CKD患者中男性比例为85人(64.9%),女性比例为46人(35.1%)。参与者中,2332人经历过至少两项传统ACEs,3786人经历过至少两项扩展ACEs,2774人经历过至少一项新增ACEs。影响参与者发生CKD的因素包括传统ACEs 5(比值比1.742;95%置信区间1.115 - 2.721;P = 0.015)、传统ACEs 6(比值比1.581;95%置信区间1.024 - 2.442;P = 0.039)、传统ACEs 9(比值比2.190;95%置信区间1.288 - 3.725;P = 0.004)、扩展ACEs 3(比值比0.195;95%置信区间0.085 - 0.444;P < 0.001)、记忆相关疾病(比值比3.297;95%置信区间1.140 - 9.538;P = 0.028)、血脂异常(比值比2.536;95%置信区间1.521 - 4.230;P < 0.001)、癌症(比值比6.369;95%置信区间2.464 - 16.461;P < 0.001)、慢性肺病(比值比2.261;95%置信区间1.091 - 4.684;P = 0.028)和肝病(比值比3.050;95%置信区间1.432 - 6.497;P = 0.004)。这三个模型在CKD、传统ACEs和新增ACEs方面显示出显著的统计学差异。在模型1、2和3中,暴露于传统ACEs组的个体风险更高,表明发生CKD的可能性增加,暴露于新增ACEs组的个体风险更低,表明发生CKD的可能性降低。对这些变量的ROC曲线分析表明,CA5、CA6、CA9、血脂异常对CKD的发生具有显著诊断价值。诊断准确性分别为CA5(57.0%)、CA6(58.3%)、CA9(59.4%)和血脂异常(59.8%)。本研究通过纵向调查,确定了ACEs与疾病相关因素和CKD之间的潜在联系。这些发现仍可为临床医生和公共卫生管理人员提供帮助,有助于他们了解ACEs与CKD之间的关联,并为他们的临床决策或公共卫生政策制定提供理论支持。