Hu Wei, Shen Zhenzhen, Tian Ge, Liu Baopeng, Jia Cunxian
Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.
Transl Psychiatry. 2025 Jun 18;15(1):204. doi: 10.1038/s41398-025-03412-5.
Biological aging has been linked to multiple psychological disorders, yet its extrapolation to suicide remains absent. We aimed to examine the associations of biological aging with suicidal ideation (SI) and suicide attempt (SA) and to explore possible moderators of the associations. A total of 124,529 middle and older participants from the UK Biobank were included. Phenotypic age (PhenoAge) indicating biological aging was calculated based on chronological age and nine clinical biomarkers. The residuals of PhenoAge regressed on chronological age were utilized to quantify biological aging, termed PhenoAge acceleration (PAA). Approximately one-third of baseline participants completed mental health follow-up questionnaires including suicide-related information. Multivariate logistic regression models were performed to estimate the associations. 2718 (2.2%) SA and 5207 (4.4%) SI cases were documented. Compared with participants in the lowest quartile of PAA, those in the highest quartile had a 21.8% [odds ratio (OR) = 1.218; 95% confidence interval (CI): 1.087-1.198) and 12.5% (OR = 1.125, 95% CI: 1.035-1.224) higher odds of SA and SI, respectively. Biologically older participants (PAA > 0) were more likely to report SA (OR = 1.104, 95% CI: 1.018-1.198) and SI (OR = 1.064, 95% CI: 1.003-1.129). Gender, age, socioeconomic status (SES), physical activity, and somatic and psychiatric disorders could modify the associations (P for interaction <0.05). Our findings indicated that PAA-measured aging might be positively associated with SA/SI. Interventions aimed at slowing aging might contribute to suicide prevention, especially among males, young adults, low SES, the physically inactive, and vulnerable populations.
生物衰老与多种心理障碍有关,但尚未将其推断至自杀方面。我们旨在研究生物衰老与自杀意念(SI)和自杀未遂(SA)之间的关联,并探索这些关联可能的调节因素。纳入了英国生物银行的124,529名中老年参与者。基于实际年龄和九种临床生物标志物计算出指示生物衰老的表型年龄(PhenoAge)。将PhenoAge对实际年龄进行回归分析得到的残差用于量化生物衰老,称为PhenoAge加速(PAA)。约三分之一的基线参与者完成了包括自杀相关信息的心理健康随访问卷。采用多变量逻辑回归模型来估计这些关联。记录到2718例(2.2%)自杀未遂和5207例(4.4%)自杀意念病例。与PAA处于最低四分位数的参与者相比,处于最高四分位数的参与者自杀未遂和自杀意念的几率分别高出21.8%[比值比(OR)=1.218;95%置信区间(CI):1.087 - 1.198]和12.5%(OR = 1.125,95% CI:1.035 - 1.224)。生物年龄较大的参与者(PAA > 0)更有可能报告自杀未遂(OR = 1.104,95% CI:1.018 - 1.198)和自杀意念(OR = 1.064,95% CI:1.003 - 1.129)。性别、年龄、社会经济地位(SES)、身体活动以及躯体和精神障碍可能会改变这些关联(交互作用P < 0.05)。我们的研究结果表明,通过PAA测量的衰老可能与自杀未遂/自杀意念呈正相关。旨在延缓衰老的干预措施可能有助于预防自杀,尤其是在男性、年轻人、低社会经济地位者、缺乏身体活动者以及弱势群体中。