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Objectives Age stereotypes and expectations about one's own aging commence in childhood, while most research focuses on predictive associations with midlife cognition and health outcomes in later life. This study instead aims to examine adverse childhood experiences (ACEs) contributing to multiple measures of subjective age (SA) among Chinese older adults and test whether these relationships differ by household registration (hukou). Methods In a representative sample of Chinese older adults aged 60 and older from the 2018 China Longitudinal Aging and Social Survey (n = 7,815), ordinary least squares is used to examine the associations between ACEs and 3 facets of SA: felt age, look age, and self-defined aging standard. Results Childhood starvation experience and limited health care access predict older felt age and look age, while parental death is associated with lower self-defined aging standard. Zooming in on hukou -specific associations shows that the dose–response relationship on older adults with rural hukou is particularly pronounced. Discussion Findings provide empirical support for views of aging from a life-course perspective and highlight the enduring impact of ACEs for late-adulthood SA, as well as their differential influence on multiple indicators of SA. Interventions that focus on promoting health and development in childhood could potentially have effects beyond the childhood phase, and benefit for their positive aging attitude in later life. [ABSTRACT FROM AUTHOR]

Background: Addressing the long-term physical and mental health impacts of adverse childhood experiences (ACEs) remains a significant public health challenge. Additionally, ACEs can contribute to intergenerational transmission, affecting future generations. While previous studies have primarily focused on children and adolescents, there is limited data on ACE subtypes and influencing factors among the general adult population, particularly in China. This study aims to explore the prevalence, subtypes, and factors influencing ACEs among Chinese adults., Method: A total of 1,932 Chinese residents from southwest China (Sichuan, Yunnan, Guizhou provinces, and Chongqing Municipality) participated in the study, consisting of 867 men (44.9%) and 1,065 women (55.1%). Latent class analysis (LCA) was used to identify ACE clusters, and regression analysis examined associations between ACE clusters and demographic factors, physical illness, and mental health outcomes., Results: The findings revealed that 28.7% of participants had experienced at least one ACE, while 13.2% had experienced three or more ACEs. Three distinct ACE clusters were identified: a low ACE group, a high emotional and physical abuse/family dysfunction group, and a high ACE/sexual abuse group. Regression analysis showed significant associations between childhood adversity and demographic factors (age, education, birthplace), as well as physical and mental health outcomes (anxiety, depression). ANOVA further confirmed significant differences in depression and anxiety scores across the clusters., Conclusion: These findings offer critical insights for developing targeted public health interventions. Policymakers should consider strategies to reduce childhood ACEs and mitigate their long-term consequences, with particular attention to high-risk groups., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Chen, Lu, Wen, Zhou and Ke.)

Adverse childhood experiences (ACEs) and adolescent depression are both prevalent social problems that can increase the risk of several negative health consequences throughout life. The original definition of ACEs misdirects the focus of intervention efforts for ACEs to only family dysfunction and parenting practices. We used a broader definition of ACEs and a latent class analysis (LCA) model to examine ACE patterns, aiming to overcome the shortcomings of cumulative and single adversity approaches based on the special social context of China. The data were derived from a middle school in Huaibei City of Anhui Province in 2019 and 2020, which was a prospective study involving 1687 junior high school students. At the initial evaluation (T1), ACEs, psychological resilience, self-esteem, and depressive symptoms were assessed by the students. At Time 2 (T2), the depressive symptoms of students were assessed. LCA and mediation analyses were conducted with Mplus version 8.2. The LCA identified the following three heterogeneous ACE classes: "low adversity" (36.4%), "moderate adversity" (44.2%), and "high adversity" (19.4%). The mediation analysis showed that the ACE patterns affected depressive symptoms through the following two mediation paths only in the moderate but not in the high adversity class: self-esteem alone and a path combining psychological resilience and self-esteem. Psychological resilience separately did not mediate the association between ACE patterns and depressive symptoms. To reduce depressive symptoms, interventions for students with ACEs need to improve self-esteem through many channels., (Copyright © 2021. Published by Elsevier Inc.)

Background: Since the COVID-19 outbreak at the end of 2019, it has evolved into a global pandemic with tremendous mental health impact besides the threats to people's physical health., Objective: The aims were to examine whether exposure to COVID-19 predicts elevated levels of anxiety and post-traumatic stress symptoms and whether pre-pandemic maltreatment experiences exacerbate this impact on mental health in adolescents., Participants and Setting: The survey was conducted online from February 8 st to February 27th, 2020, and the questionnaires were distributed and retrieved through a web-based platform. This study includes a total of 6196 subjects, aged range from 11 to 18 years old., Methods: Several multivariable linear regressions were used to analyse the data., Results: The largest variance in PTSS and anxiety problems was explained by ACEs, with more pre-pandemic maltreatment experiences predicting more PTSS (effect size beta = 0.16∼0.27), and more anxiety (effect size beta = 0.32∼0.47). Experienced or subjective fear of exposure to COVID-19 predicted statistically significant variance in PTSS and anxiety, and standardized betas ranged from 0.04 to 0.09. Participants who had adverse childhood experiences and had experienced exposure to COVID-19 showed elevated PTSS., Conclusions: After pre-pandemic maltreatment experiences the impact of exposure to COVID-19 on mental health may be stronger. Scars from the past seem to be vulnerabilities during societal upheaval. We therefore suggest that when exposed to COVID-19 rural adolescents should get prioritized professional family support and mental health counseling in particular when they have experienced family abuse and neglect in childhood, even though such support is more difficult to organize in rural areas., (Copyright © 2020 Elsevier Ltd. All rights reserved.)