Riedl David, Kirchhoff Christina, Egle Ulrich T, Nolte Tobias, Tschuggnall Michael, Rumpold Gerhard, Kantner-Rumplmair Wilhelm, Grote Vincent, Fischer Michael J, Lampe Astrid
Ludwig Boltzmann Institute for Rehabilitation Research, 1140 Vienna, Austria.
Department of Psychiatry, Psychotherapy, Psychosomatics and Medical Psychology, University Hospital of Psychiatry II, Medical University of Innsbruck, 6020 Innsbruck, Austria.
Diagnostics (Basel). 2025 Mar 25;15(7):839. doi: 10.3390/diagnostics15070839.
Adverse childhood experiences (ACEs) have been identified as a major risk factor for physical and mental ill health in adulthood. So far, no studies have investigated whether ACEs during sensitive periods in infant development are associated with a higher likelihood of chronic pain (CP) in adulthood. : Patients of the University Hospital of Innsbruck (Austria) completed questionnaires retrospectively assessing their ACEs as well as their current levels of CP, psychological distress, and trauma-related symptoms in this cross-sectional study. Dose-dependent associations of ACEs with CP were investigated through binary logistic regressions. To detect vulnerable developmental periods, a machine learning grid search was applied. : A total of = 2577 patients were included in the analyses, with 31.5% reporting CP. Polytraumatization (i.e., four or more types of ACEs) was associated with a threefold increase for CP (OR: 3.01; 95% CI: 2.16-4.19; < 0.001). The machine learning approach revealed maltreatment between 10 and 12 years to be the most predictive of CP (Ada Boost Classifier). CP is a highly prevalent symptom among hospital patients and is clearly associated with ACEs. This is the first study to present evidence for a timing-dependent association of ACEs with CP. Early identification and appropriate psychosocial support for patients with ACEs is a crucial task for healthcare professionals.
童年不良经历(ACEs)已被确定为成年后身心健康的主要风险因素。到目前为止,尚无研究调查婴儿发育敏感期的ACEs是否与成年后慢性疼痛(CP)的较高可能性相关。在这项横断面研究中,奥地利因斯布鲁克大学医院的患者回顾性填写问卷,评估其ACEs以及当前的CP水平、心理困扰和创伤相关症状。通过二元逻辑回归研究ACEs与CP的剂量依赖性关联。为了检测易受影响的发育时期,应用了机器学习网格搜索。分析共纳入2577例患者,31.5%报告有CP。多重创伤(即四种或更多类型的ACEs)与CP风险增加两倍相关(比值比:3.01;95%置信区间:2.16 - 4.19;P < 0.001)。机器学习方法显示,10至12岁之间的虐待对CP的预测性最强(Ada Boost分类器)。CP是医院患者中非常普遍的症状,且与ACEs明显相关。这是第一项提供证据证明ACEs与CP存在时间依赖性关联的研究。对有ACEs的患者进行早期识别和适当的社会心理支持是医护人员的一项关键任务。