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Adverse childhood experiences (ACEs) studies reveal the profound impacts of experiencing trauma and hardships in childhood. However, the cumulative risk approach of treating ACEs obscures the heterogeneity of ACEs and their consequences, making actionable interventions impossible. latent class analysis (LCA) has increasingly been used to address these concerns by identifying underlying subgroups of people who experience distinctive patterns of co-occurring ACEs. Though LCA has its strengths, the existing research produces few comparable findings because LCA results are dependent on ACEs measures and indicators, which vary widely by study. Therefore, a scoping review of ACEs studies using LCA that focuses on ACEs measures, indicators, and findings is needed to inform the field. Following Arksey and O'Malley's five-stage scoping review methodological framework, we first identified 211 articles from databases of EBSCOhost, PubMed, and Scopus using "adverse childhood experiences" for title search and "latent class analysis" for abstract search. Based on the inclusion criteria of peer-reviewed articles written in English published from 2012 to 2022 and the exclusion criteria of nonempirical studies and the LCA not analyzing ACEs, we finally selected 58 articles in this scoping review. Results showed LCA has been increasingly endorsed in the ACEs research community to examine the associations between ACEs and human health and well-being across culturally diverse populations. LCA overcame the limitations of the traditional methods by revealing specific ACEs clusters that exert potent effects on certain outcomes. However, the arbitrary nature of selecting ACEs indicators, measures, and the limited use of theory impedes the field from moving forward. [ABSTRACT FROM AUTHOR]

Early adverse childhood experiences (ACEs) predict early onset of sexual intercourse. However, patterns of ACEs identified using latent class analysis (LCA) and their links to early sexual intercourse have been less examined. In this study, we apply LCA to identify ACEs profiles at age five and to examine whether these profiles differentially predict adolescents' sexual initiation. We analyzed data obtained from the Future of Families and Child Wellbeing Study for 3,185 participants (male = 1,638; female = 1,547). This included parental/caregivers' reports of 10 types of ACEs when participants were on average at age five and youth self-report data on sexual intercourse before or at age 15. We used LCA to classify the participants into subgroups and multinomial logistic regressions to examine differences in early sexual initiation among the ACEs subgroups. LCA showed evidence of four classes for both genders: low adversity (51.8%), socioeconomic adversity (32.0%), family dysfunction (12.0%), and abuse (4.2%). We found class membership differences in early sexual intercourse in all three adversity classes compared to the low adversity group. Pairwise comparison tests further revealed that adolescents in the family dysfunction class had lesser odds of engaging in early sexual intercourse than their counterparts in the socioeconomic adversity and abuse classes. Our findings suggest that LCA could help identify meaningful and distinctive child adversity patterns while accounting for the co-occurrence of ACEs. This is particularly helpful in evaluating who might be at greatest health risk which can further inform more effective and targeted interventions. [ABSTRACT FROM AUTHOR]

To provide a comprehensive view of the unique contexts shaping adolescent development in the U.S., we utilized latent class analysis (LCA) with indicators of risk and protection across multiple domains (family, peers, school, neighborhood) and examined how latent class membership predicted heavy episodic drinking, illicit substance use, and depression in adolescence and 6 years later when participants were young adults. Data came from Wave 1 (W1) and Wave 3 (W3) of the nationally representative U.S.-based Add Health study (N = 6,649; M age W1 = 14.06; M age W3 = 20.38; 53.8% female; 56.1% White/European American, 22.8% Black/African American, 9.5% Hispanic, 6.7% Biracial, Asian or Pacific Islander 4.2%, American Indian/Native American 0.7%). A six-class solution was selected with classes named: Two Parent: Low Risk, Two Parent: Relationship Risks, Two Parent: Neighborhood Risks, Single Parent: Low Risk, Single Parent: Relationship Risks, and Single Parent: Multidimensional Risk. Subsequent analyses suggested that adolescent social relationships are particularly important for prevention interventions as the classes marked by substance using peers and a lack of closeness to parents and teachers in adolescence (Two Parent: Relationship Risks and Single Parent: Relationship Risks) had consistently poorer outcomes in adolescence and young adulthood. [ABSTRACT FROM AUTHOR]

Aims To (1) identify distinct classes of smokers based on quit day withdrawal symptoms and (2) explore the relations between withdrawal classes and demographics, tobacco dependence, treatment and smoking outcomes. Design Secondary data analysis of participants ( n = 1504) in a randomized double-blind placebo-controlled multi-site smoking cessation trial who provided ecological momentary assessments of withdrawal symptoms on their quit day. Participants received smoking cessation counseling and were randomized to receive placebo or one of five active pharmacotherapies. Setting Research offices in Madison and Milwaukee, Wisconsin, USA. Participants Adult smokers ( n = 1236; 58% female, 86% white), recruited from the community via advertisements, who abstained on their quit day. Measurements Demographics and tobacco dependence were assessed at baseline and participants carried palmtop computers to record withdrawal symptoms (craving, negative affect, difficulty concentrating, hunger and anhedonia) on their quit day. Point-prevalence abstinence and latency to relapse were assessed at 8 weeks and 6 months post-quit. Findings Latent class analysis identified four withdrawal classes [Akaike information criterion (AIC) = 70.09]: Moderate withdrawal (64% of sample), high craving-anhedonia (8% of sample), affective withdrawal (13% of sample) and hunger (15% of sample). The high craving-anhedonia class reported significantly higher dependence ( P < 0.01), were less likely to have received combination nicotine replacement, reported lower week 8 abstinence rates and relapsed sooner than those in the moderate withdrawal class ( P < 0.05). The affective withdrawal class reported higher levels of baseline negative affect and life-time psychopathology ( P < 0.05) and relapsed more quickly than the moderate withdrawal class ( P < 0.01). Conclusions While the majority of smokers report typical levels of withdrawal symptoms on their quit day, more than one-third report extreme craving or extreme negative affective or extreme hunger responses to initial abstinence. These distinct quit-day withdrawal symptom patterns are related to baseline characteristics, treatment and cessation success. [ABSTRACT FROM AUTHOR]

We used classification analysis to examine change in religiosity among baby boomers from young adulthood to early old age and how religiosity transition patterns are associated with psychological well-being in later life. In addition, we tested the gender difference in the above association. We applied latent class and latent transition analysis to 392 baby boomers who participated in the Longitudinal Study of Generations in Wave-1 (1971) and Wave-9 (2016). We identified three classes describing religiosity at each wave (strongly religious, doctrinally religious, and weakly religious), and considered five types of change or stability in religious class membership from Wave-1 to Wave-9. Multiple regression with gender interactions revealed that men who stayed strongly religious over the period reported better psychological well-being compared to men who declined in their religiosity; no such pattern was found for women. Our findings suggest that maintaining strong religiosity over the life course was beneficial for baby boom men in later life. [ABSTRACT FROM AUTHOR]