A GENETICALLY-INFORMED STUDY OF THE PREDICTORS AND THE DEVELOPMENT OF DELINQUENCY

Although the rates of delinquent behavior have been decreasing since the 1990s, adolescent delinquent behavior continues to take a great toll on society as well as on perpetrators themselves. In this way, it is essential to understand the process of delinquency development. The current dissertation is comprised of three studies that analyzed the predictors and the development of delinquency using genetically-informed designs. The sample used for all studies comes from the Add Health dataset, a nationally-representative data on adolescents followed across 14 years. The first study modeled the longitudinal development of delinquency in three adolescent cohorts: early, middle, and late adolescence. The results showed significant heritability effects on delinquency, with varying estimates across cohorts. The longitudinal stability of delinquency was mostly driven by heritability, while changes were affected by nonshared environmental influences. The second study tested the GxE interaction between two dopaminergic polymorphisms (DRD4 7-repeat allele and DRD2 A1 allele) and parenting, operationalized by child abuse on the one negative extreme and maternal closeness on the other, in longitudinally predicting delinquent behaviors. Main effects of maternal closeness and childhood abuse on later delinquency were found. On the other hand, no significant interaction of DRD2 or DRD4 polymorphisms with either maternal closeness or childhood abuse were observed. The third study used a twin design to test whether neighborhood disadvantage has a genetic component and whether this might be explained by an individual’s IQ and self-control. The results showed substantial heritability of the neighborhoods the individuals moved into as adults. This was partly explained by IQ, as adolescents’ IQ predicted neighborhood disadvantage 14 years later

Psychological Distress Among Older Adults During the First Wave of SARS-CoV-2 Pandemic: Survey of Health, Ageing, and Retirement in Europe

Objective: To investigate the individual and country-level characteristics associated with the presence and worsening of psychological distress during the first wave of the pandemic among the elderly in Europe. Methods: In June-August 2020, 52,310 non-institutionalized people aged 50+ in 27 SHARE participating countries reported whether feeling depressed, anxious, lonely, and having sleep problems. For this analysis, we combined these symptoms into a count variable reflecting psychological distress. Binary measures of the worsening of each symptom were used as secondary outcomes. Multilevel zero-inflated negative binomial and binary logistic regressions were used to assess the associations. Results: Female sex, low education, multimorbidity, fewer social contacts, and higher stringency of policy measures were associated with increased distress. The worsening of all 4 distress symptoms was associated with younger age, poor health, loss of work due to the pandemic, low social contact, and high national mortality rates from COVID-19. Conclusion: The pandemic exacerbated distress symptoms for socially disadvantaged older adults and those who were already struggling with mental health. The death toll of COVID-19 in a country played a role in symptom worsening

Routine Activities and Adolescent Deviance across 28 Cultures

Purpose The current study tested the links between routine activities and deviance across twenty-eight countries, thus, the potential generalizability of the routine activities framework. Methods Data were collected as part of the Second International Self-Report Delinquency Study (ISRD-2) from 28 cultures, from seventh, eighth, and ninth grade adolescents (N = 66,859). Routine activities were operationalized as family, peer, solitary, and community activities. Country-level predictors included unemployment rate, prison population, life expectancy, and educational attainment. Results Three-level, hierarchical linear modeling (individual, school, and country) was used to test both individual and country-level effects on deviance. Findings supported predictions by the routine activities framework, where routine activities explained 3.1% unique variance in deviance, above and beyond effects by background variables as well as low self-control. Models showed that the effects of family activities, solitary activities, and peer activities were stronger in countries with higher life expectancies. In addition, mean educational attainment increased the effect of solitary activities on deviance, while the effect of family activities on deviance was lower in countries with higher levels of unemployment. Conclusions The routine activities framework generalized across these 28 countries in how it explains deviance; some unique country-level effects were found that conditioned person-context links

Which adolescent factors predict alcohol misuse in young adulthood? A co-twin comparisons study

Background and aims Research on adolescent predictors of later alcohol misuse is typically conducted on samples of singletons, and associations may be confounded by between-family differences. To address potential confounding, we applied a co-twin comparison design to evaluate whether differences between co-twins in a wide array of adolescent risk factors predicted differences in young adult alcohol misuse. Design Longitudinal study in which associations between characteristics of the sample as adolescents were used to predict young adult alcohol misuse in individual-level analyses and co-twin comparisons. Setting Finland. Participants A total of 3402 individuals (1435 complete twin pairs; 36% monozygotic; 57% female) from the FinnTwin12 study. Measurements The young adult alcohol misuse outcome was a composite score of alcohol use and intoxication frequency. Adolescent predictors included factor scores representing academic performance, substance use, externalizing problems, internalizing problems, peer environment, physical health and relationship with parents; and single measures tapping alcohol expectancies, life events and pubertal development. Findings In individual-level analyses, individuals with higher adolescent substance use, externalizing problems, time with friends, peer deviance, sports involvement, sleeping difficulties, parental discipline, positive alcohol expectancies and difficulty of life events reported higher alcohol misuse in young adulthood (Ps <0.019, R-2 = 0.0003-0.0310%). Conversely, those with higher adolescent internalizing problems, parent-child relationship quality and time with parents reported lower alcohol misuse (Ps <0021, R-2 = 0.0018-0.0093%). The associations with adolescent substance use and alcohol expectancies remained significant in co-twin comparisons (Ps <0.049, R-2 = 0.0019-0.0314%). Further, academic performance emerged as a significant predictor, such that individuals with higher grades compared with their co-twin reported higher young adult alcohol misuse (Ps <0.029, R-2 = 0.0449-0.0533%). Conclusions Adolescent substance use, positive alcohol expectancies and higher academic performance appear to be robust predictors of later alcohol misuse.Peer reviewe

Predicting Alcohol Dependence Symptoms by Young Adulthood : A Co-Twin Comparisons Study

Co-twin comparisons address familial confounding by controlling for genetic and environmental influences that twin siblings share. We applied the co-twin comparison design to investigate associations of adolescent factors with alcohol dependence (AD) symptoms. Participants were 1286 individuals (581 complete twin pairs; 42% monozygotic; and 54% female) from the FinnTwin12 study. Predictors included adolescent academic achievement, substance use, externalizing problems, internalizing problems, executive functioning, peer environment, physical health, relationship with parents, alcohol expectancies, life events, and pubertal development. The outcome was lifetime AD clinical criterion count, as measured in young adulthood. We examined associations of each adolescent domain with AD symptoms in individual-level and co-twin comparison analyses. In individual-level analyses, adolescents with higher levels of substance use, teacher-reported externalizing problems at age 12, externalizing problems at age 14, self- and co-twin-reported internalizing problems, peer deviance, and perceived difficulty of life events reported more symptoms of AD in young adulthood (ps < .044). Conversely, individuals with higher academic achievement, social adjustment, self-rated health, and parent-child relationship quality met fewer AD clinical criteria (ps < .024). Associations between adolescent substance use, teacher-reported externalizing problems, co-twin-reported internalizing problems, peer deviance, self-rated health, and AD symptoms were of a similar magnitude in co-twin comparisons. We replicated many well-known adolescent correlates of later alcohol problems, including academic achievement, substance use, externalizing and internalizing problems, self-rated health, and features of the peer environment and parent-child relationship. Furthermore, we demonstrate the utility of co-twin comparisons for understanding pathways to AD. Effect sizes corresponding to the associations between adolescent substance use, teacher-reported externalizing problems, co-twin-reported internalizing problems, peer deviance, and self-rated health were not significantly attenuated (p value threshold = .05) after controlling for genetic and environmental influences that twin siblings share, highlighting these factors as candidates for further research.Peer reviewe

Using polygenic scores for identifying individuals at increased risk of substance use disorders in clinical and population samples

Genome-wide, polygenic risk scores (PRS) have emerged as a useful way to characterize genetic liability. There is growing evidence that PRS may prove useful for early identification of those at increased risk for certain diseases. The current potential of PRS for alcohol use disorders (AUD) remains an open question. Using data from both a population-based sample [the FinnTwin12 (FT12) study] and a high-risk sample [the Collaborative Study on the Genetics of Alcoholism (COGA)], we examined the association between PRSs derived from genome-wide association studies (GWASs) of (1) alcohol dependence/alcohol problems, (2) alcohol consumption, and (3) risky behaviors with AUD and other substance use disorder (SUD) criteria. These PRSs explain similar to 2.5-3.5% of the variance in AUD (across FT12 and COGA) when all PRSs are included in the same model. Calculations of area under the curve (AUC) show PRS provide only a slight improvement over a model with age, sex, and ancestral principal components as covariates. While individuals in the top 20, 10, and 5% of the PRS distribution had greater odds of having an AUD compared to the lower end of the continuum in both COGA and FT12, the point estimates at each threshold were statistically indistinguishable. Those in the top 5% reported greater levels of licit (alcohol and nicotine) and illicit (cannabis and opioid) SUD criteria. PRSs are associated with risk for SUD in independent samples. However, usefulness for identifying those at increased risk in their current form is modest, at best. Improvement in predictive ability will likely be dependent on increasing the size of well-phenotyped discovery samples.Peer reviewe

Pulmonary function and trajectories of cognitive decline in aging population

Background: The number of older people with cognitive impairment is increasing worldwide. Impaired lung function might be associated with cognitive decline in older age; however, results from large longitudinal studies are lacking. In this study, we examined the longitudinal associations between pulmonary function and the trajectories of cognitive decline using prospective population-based SHARE data from 14 countries. Methods: The analytic sample included N = 32,049 older adults (Mean age at baseline = 64.76 years). The dependent variable was cognitive performance, measured repeatedly across six waves in three domains: verbal fluency, memory, and numeracy. The main predictor of interest was peak expiratory flow (PEF). The data were analyzed in a multilevel accelerated longitudinal design, with models adjusted for a variety of covariates. Results: A lower PEF score was associated with lower cognitive performance for each domain as well as a lower global cognitive score. These associations remained statistically significant after adjusting for all covariates Q4 vs Q1 verbal fluency: unstandardized coefficient B = -3.15; numeracy: B = -0.52; memory: B = -0.64; global cognitive score B = −2.65, all p < .001). However, the PEF score was not found to be associated with the rate of decline for either of the cognitive outcomes. Conclusions: In this large multi-national longitudinal study, the PEF score was independently associated with lower levels of cognitive functions, but it did not predict a future decline. The results suggest that pre-existing differences in lung functions are responsible for variability in cognitive functions and that these differences remained stable across aging

Living in poverty and accelerated biological aging: evidence from population-representative sample of U.S. adults

Abstract Background Biological aging reflects a decline in the functions and integrity of the human body that is closely related to chronological aging. A variety of biomarkers have been found to predict biological age. Biological age higher than chronological age (biological age acceleration) indicates an accelerated state of biological aging and a higher risk of premature morbidity and mortality. This study investigated how socioeconomic disadvantages influence biological aging. Methods The data from the National Health and Nutrition Examination Survey (NHANES) IV, including 10 nationally representative cross-sectional surveys between 1999-2018, were utilized. The analytic sample consisted of N = 48,348 individuals (20-84 years). We used a total of 11 biomarkers for estimating the biological age. Our main outcome was biological age acceleration, indexed by PhenoAge acceleration (PAA) and Klemera-Doubal biological age acceleration (KDM-A). Poverty was measured as a ratio of family income to the poverty thresholds defined by the U.S. Census Bureau, adjusted annually for inflation and family size (5 categories). The PAA and KDM-A were regressed on poverty levels, age, their interaction, education, sex, race, and a data collection wave. Sample weights were used to make the estimates representative of the U.S. adult population. Results The results showed that higher poverty was associated with accelerated biological aging (PAA: unstandardized coefficient B = 1.38 p <.001, KDM: B = 0.96, p = .026 when comparing the highest and the lowest poverty level categories), above and beyond other covariates. The association between PAA and KDM-A and age was U-shaped. Importantly, there was an interaction between poverty levels and age (p <.001), as the effect of poverty was most pronounced in middle-aged categories while it was modest in younger and elderly groups. Conclusion In a nationally representative US adult population, we found that higher poverty was positively associated with the acceleration of biological age, particularly among middle-aged persons