Stressful life events (SLEs) may elicit positive psychosocial change among youth, referred to as post-traumatic growth (PTG). We assessed types of SLEs experienced, degree to which participants reported PTG, and variables predicting PTG across 24 months among a sample of high-risk, ethnically diverse, early emerging adults. Participants were recruited from alternative high schools (n = 564; mean age = 16.8; 65% Hispanic). Multi-level regression models were constructed to examine the impact of environmental (SLE quantity, severity) and personal factors (hedonic ability, perceived stress, developmental stage, future time orientation) on a composite score of PTG. The majority of participants reported that positive changes resulted from their most life-altering SLE of the past two years. Predictors of PTG included fewer SLEs, less general stress, having a future time perspective, and greater identification with the developmental stage of emerging adulthood. Findings suggest intervention targets to foster positive adaptation among early emerging adults who experience frequent SLEs.

Purpose: Compulsive Internet Use (CIU) has increasingly become an area of research among process addictions. Largely based on data from cross-sectional studies, a positive association between CIU and substance use has previously been reported. This study presents gender and country-specific longitudinal findings on the relationships between CIU and substance use. Methods: Data were drawn from youth attending non-conventional high schools, recruited into two similarly implemented trials conducted in China and the USA. The Chinese sample included 1,761 students (49% male); the US sample included 1,182 students (57% male) with over half (65%) of the US youth being of Hispanic ethnicity. Path analyses were applied to detect the concurrent and predictive relationships between baseline and one-year follow-up measures of CIU level, 30-day cigarette smoking, and 30-day binge drinking. Results: (1) CIU was not positively related with substance use at baseline. (2) There was a positive predictive relationship between baseline CIU and change in substance use among female, but not male students. (3) Relationships between concurrent changes in CIU and substance use were also found among female, but not male students. (4) Baseline substance use did not predict an increase in CIU from baseline to 1-year follow-up. Conclusions: While CIU was found to be related to substance use, the relationship was not consistently positive. More longitudinal studies with better measures for Internet Addiction are needed to ascertain the detailed relationship between Internet addiction and substance use.

Verbal memory is typically studied using immediate recall (IR) and delayed recall (DR) scores, although DR is dependent on IR capability. Separating these components may be useful for deciphering the genetic variation in age-related memory abilities. This study was conducted to (a) construct individual trajectories in IR and independent aspects of delayed recall, or residualized-DR (rDR), across older adulthood; and (b) identify genetic markers that contribute to four estimated phenotypes: IR and rDR levels and changes after age 60. A cognitively intact sample (N = 20,650 with 125,164 observations) was drawn from the U.S. Health and Retirement Study, a nationally representative study of adults aged 50 and older. Mixed effects regression models were constructed using repeated measures from data collected every two years (1996–2012) to estimate level at age 60 and change in memory post-60 in IR and rDR. Genome-wide association scans (GWAS) were conducted in the genotypic subsample (N = 7,486) using ~1.2 million single nucleotide polymorphisms (SNPs). One SNP (rs2075650) in TOMM40 associated with rDR level at the genome-wide level (p = 5.0x10^-08), an effect that replicated in an independent sample from the English Longitudinal Study on Ageing (N = 6,898 with 41,328 observations). Meta-analysis of rDR level confirmed the association (p = 5.0x10^-11) and identified two others in TOMM40 (rs71352238 p = 1.0x10^-10; rs157582 p = 7.0x10^-09), and one in APOE (rs769449 p = 3.1 x10^-12). Meta-analysis of IR change identified associations with three of the same SNPs in TOMM40 (rs157582 p = 8.3x10^-10; rs71352238 p = 1.9x10^-09) and APOE (rs769449 p = 2.2x10^-08). Conditional analyses indicate GWAS signals on rDR level were driven by APOE, whereas signals on IR change were driven by TOMM40. Additionally, we found that TOMM40 had effects independent of APOE e4 on both phenotypes. Findings from this first U.S. population-based GWAS study conducted on both age-related immediate and delayed verbal memory merit continued examination in other samples and additional measures of verbal memory.

Objectives: We evaluated whether the effects of recent stressful life events (SLEs) and early childhood adversities (ECAs) on depressive symptoms are consistent between men and women and across older age, and whether there was evidence for the following: stress sensitization, whereby the psychological impact of SLEs is greater for individuals with ECAs compared with those without; or stress proliferation effect, whereby those with ECAs are more likely to report more SLEs than those without ECAs to effect depressive symptoms. Method: ECAs, SLEs in the past two years, and current depressive symptoms through a modified CES-D were obtained from 11,873 individuals participating in a population representative study of older adults, yielding 82,764 observations. Mixed-effects regression models on depressive symptoms were constructed to control for multiple observations per participant and evaluate within-person effects over time, thereby reducing bias from reverse causation. Results: Results suggest a stress proliferation effect and do not support stress sensitization. ECAs contribute to vulnerability for depressive symptoms, with a dosage effect for each additional ECA. Recent SLEs result in greater depressive symptom risk, with stable effects over age and dosage effects for each additional SLE that were smaller than the effects of ECAs among men, but not women. Belonging to an ethnic minority group, having less education, and less household income at baseline were associated with greater depressive symptom risk. Conclusions: Findings suggest the importance of addressing early childhood adversity and sociodemographic factors, among at-risk older adults to mitigate life-course stress proliferative processes and thereby reduce disparate risk for depression in older age.

Individuals with more education are at lower risk of developing multiple, different age-related diseases than their less educated peers. A reason for this might be that individuals with more education age slower. There are two complications in testing this hypothesis. First, there exists no definitive measure of biological aging. Second, shared genetic factors contribute towards both lower educational attainment and the development of age-related diseases. Here, we tested whether the protective effect of educational attainment was associated with the pace of aging after accounting for genetic factors. We examined data from five studies together totaling almost 17,000 individuals with European ancestry born in different countries during different historical periods, ranging in age from 16 to 98 years old. To assess the pace of aging, we used DunedinPACE, a DNA methylation algorithm that reflects an individual’s rate of aging and predicts age-related decline and Alzheimer’s Disease and Related Disorders (ADRD). To assess genetic factors related to education we created a polygenic score (PGS) based on results of a genome-wide association study (GWAS) of educational attainment. Across the five studies, and across the lifespan, higher educational attainment was associated with a slower pace of aging even after accounting for genetic factors (meta-analysis effect size=-0.20, 95%CI[-0.30- -0.10]; p-value = 0.006). Further, this effect persisted after taking into account tobacco smoking (meta-analysis effect size=-0.13, 95%CI[-0.21- -0.05]; p-value = 0.01). These results indicate that higher levels of education have positive effects on the pace of aging, and that the benefits can be realized irrespective of individuals’ genetics.