Child Maltreatment and Substance Use: A Behavior Genetic Analysis

2022 ◽  
pp. 107755952110642
Author(s):  
Andia M. Azimi ◽  
Eric J. Connolly
Keyword(s):  
Substance Use ◽  
Child Maltreatment ◽  
Environmental Factors ◽  
Marijuana Use ◽  
Future Research ◽  
Adult Health ◽  
Cigarette Use ◽  
Life Outcomes ◽  
Longitudinal Association ◽  
Genetic And Environmental Factors

Child maltreatment is a pervasive social problem often perpetuated by family members and is related to a wide array of negative life outcomes. Although substance use is an outcome commonly associated with experiences of child maltreatment, not all individuals who experience maltreatment struggle with such issues. Many individuals can positively adapt to experiences of maltreatment based on levels of resilience and susceptibility. Research suggests that genetic differences may partly explain why negative outcomes develop for some, but not for others. Few studies have examined the extent to which genetic and environmental factors influence the longitudinal association between child maltreatment and varying forms of substance use, leaving a fundamental gap in our current understanding of this association. The current study aims to address this gap by analyzing a sample of twins from the National Longitudinal Study of Adolescent to Adult Health (Add Health). Findings from a series of univariate and bivariate biometric models reveal that the longitudinal associations between maltreatment, cigarette use, and marijuana use are accounted for by additive genetic and nonshared environmental factors. Moreover, the magnitude of the contribution varies across unique subgroups of cigarette and marijuana use. Directions for future research and theoretical implications are discussed.

Genetic and Environmental Overlap Between Substance Use and Delinquency in Adolescence: An Analysis by Same-Sex Twins

2018 ◽  
Vol 17 (2) ◽  
pp. 154-173 ◽  
Author(s):  
Danielle L. Boisvert ◽  
Eric J. Connolly ◽  
Jamie C. Vaske ◽  
Todd A. Armstrong ◽  
Brian B. Boutwell
Keyword(s):  
Substance Use ◽  
Environmental Factors ◽  
Delinquent Behavior ◽  
Adult Health ◽  
Same Sex ◽  
National Longitudinal Study ◽  
Offending Behavior ◽  
Genetic Overlap ◽  
Males And Females ◽  
Genetic And Environmental Factors

During adolescence, many teens begin to experiment with substances and engage in delinquent behavior. The current study seeks to examine whether and to what extent genetic and environmental factors contribute to the association between substance use (i.e., marijuana and alcohol) and different forms of delinquent offending (i.e., violent and nonviolent) across males and females. Analyses were based on same-sex twins ( N = 1,072) from the sibling subsample of the National Longitudinal Study of Adolescent to Adult Health (Add Health). The results revealed moderate to large genetic overlap between substance use and delinquent behavior for males. Much of the covariation between alcohol use and offending behavior for females was attributable to common environmental factors, while common genetic factors explained a large portion of the overlap between marijuana use and offending in males and females. The implications of these findings for sex differences in prevention and intervention efforts are discussed from a biosocial perspective.

The Association Between Chronic Disease and Psychological Distress: An Australian Twin Study

2020 ◽  
Vol 23 (6) ◽  
pp. 322-329
Author(s):  
Jessica Tyler ◽  
Janine Lam ◽  
Katrina Scurrah ◽  
Gillian Dite
Keyword(s):  
Psychological Distress ◽  
Chronic Disease ◽  
Environmental Factors ◽  
Twin Study ◽  
Disease Status ◽  
Adult Health ◽  
Linear Regression Models ◽  
Cross Sectional ◽  
Genetic And Environmental Factors ◽  
Distress Scale

AbstractThere is a commonly observed association between chronic disease and psychological distress, but many potential factors could confound this association. This study investigated the association using a powerful twin study design that can control for unmeasured confounders that are shared between twins, including genetic and environmental factors. We used twin-paired cross-sectional data from the Adult Health and Lifestyle Questionnaire collected by Twins Research Australia from 2014 to 2017. Linear regression models fitted using maximum likelihood estimations (MLE) were used to test the association between self-reported chronic disease status and psychological distress, measured by the Kessler Psychological Distress Scale (K6). When comparing between twin pairs, having any chronic disease was associated with a 1.29 increase in K6 (95% CI: 0.91, 1.66; p < .001). When comparing twins within a pair, having any chronic disease was associated with a 0.36 increase in K6 (95% CI: 0.002, 0.71; p = .049). This within-pair estimate is of most interest as comparing twins within a pair naturally controls for shared factors such as genes, age and shared lived experiences. Whereas the between-pair estimate does not. The weaker effect found within pairs tells us that genetic and environmental factors shared between twins confounds the relationship between chronic disease and psychological distress. This suggests that associations found in unrelated samples may show exaggerated estimates.

scholarly journals Child Maltreatment, Relationship With Father, Peer Substance Use, and Adolescent Marijuana Use

2019 ◽  
Vol 28 (3) ◽  
pp. 150-159 ◽  
Author(s):  
Howard Dubowitz ◽  
Scott Roesch ◽  
Richard Metzger ◽  
Amelia M. Arria ◽  
Richard Thompson ◽  
...  
Keyword(s):  
Substance Use ◽  
Child Maltreatment ◽  
Marijuana Use ◽  
Peer Substance Use ◽  
Adolescent Marijuana Use

Muscle Dissatisfaction and Muscle-Enhancing Substance Use: A Population-Based Twin Study in Young Adult Men

2006 ◽  
Vol 9 (3) ◽  
pp. 431-437 ◽  
Author(s):  
Anu Raevuori ◽  
Anna Keski-Rahkonen ◽  
Richard J. Rose ◽  
Aila Rissanen ◽  
Jaakko Kaprio
Keyword(s):  
Substance Use ◽  
Environmental Factors ◽  
Twin Study ◽  
Genetic Factors ◽  
Population Based ◽  
Tetrachoric Correlation ◽  
Polychoric Correlation ◽  
Adult Men ◽  
Genetic And Environmental Factors ◽  
Best Fit

AbstractIn the population-based FinnTwin16 study, proportions of genetic and environmental factors contributing to muscle dissatisfaction and muscle-enhancing substance use were assessed in 319 pairs of twin brothers: 141 monozygotic (MZ) and 178 dizygotic (DZ) pairs. In addition there were 86 twin individuals from pairs in which only one co-twin responded. Of all respondents, 30% experienced high muscle dissatisfaction. The corresponding proportion of muscle-enhancing substance use was 10%. The subjects were similar in age (23.8 years, 95% confidence interval [CI] 23.76–23.84), body mass index (23.7, 95% CI 23.5–23.9), and waist circumference (84.5 cm, 95% CI 83.7–85.2), independent of their muscle dissatisfaction or muscle-enhancing substance use status and independent of their zygosity. The MZ polychoric correlation for muscle dissatisfaction was .39 (95% CI .17–.58) and .27 for DZ pairs (95% CI .07–.46). The MZ tetrachoric correlation for muscle-enhancing substance use was .65 (95% CI .28–.87) and .56 for DZ pairs (95% CI .26–.78). The AE model, where additive genetic factors (A) accounted for 42% (95% CI .23–.59) and unique environmental factors (E) 58% (95% CI .41–.77) of the liability, provided the best fit for muscle dissatisfaction. The CE model, where common environmental factors (C) accounted for 60% (95% CI .37–.77) and unique environmental factors (E) 40% (95% CI .23–.63) of the liability, provided the best fit for muscle-enhancing substance use. Both genetic and unique (nonfamilial) environmental factors are involved in muscle dissatisfaction in the population. Nongenetic factors (both familial and non-familial) appear to best explain the use of muscle-enhancing substances.

scholarly journals How Nonshared Environmental Factors Come to Correlate with Heredity

2020 ◽  
Author(s):  
Christopher Beam ◽  
Patrizia Pezzoli ◽  
Jane Mendle ◽  
S. Alexandra Burt ◽  
Michael C. Neale ◽  
...  
Keyword(s):  
Environmental Factors ◽  
Genetic Models ◽  
Future Research ◽  
Longitudinal Models ◽  
Behavioral Genetic ◽  
Relative Contribution ◽  
Environment Effects ◽  
Gene Environment ◽  
Genetic And Environmental Factors ◽  
Over Time

Conventional longitudinal behavioral genetic models estimate the relative contribution of genetic and environmental factors to stability and change of traits and behaviors. Longitudinal models rarely explain the processes that generate observed differences between genetically and socially related individuals. We propose that exchanges between people and their environments (i.e., phenotype-environment effects) can explain the emergence of observed differences over time. Such models, however, require violation of the independence assumption of standard behavioral genetic models, that is, uncorrelated genetic and environmental factors (Beam &amp; Turkheimer, 2013; de Kort, Dolan, &amp; Boomsma, 2012; Dolan, De Kort, Van Beijsterveldt, Bartels, &amp; Boomsma, 2014). We review how specification of phenotype-environment effects contributes to understanding observed changes in genetic variability over time and longitudinal correlations among nonshared environmental factors. We then provide an example using 30 days of positive and negative affect scores from an all-female sample of twins. Results demonstrate that the phenotype-environment effects explain how heritability estimates fluctuate as well as how nonshared environmental factors persist over time. We discuss possible mechanisms underlying change in gene-environment correlation over time, the advantages and challenges of including gene-environment correlation in longitudinal twin models, and recommendations for future research.

Genetics of physical activity and physical fitness

2017 ◽  
Author(s):  
Nienke M Schutte ◽  
Meike Bartels ◽  
Eco JC de Geus
Keyword(s):  
Physical Activity ◽  
Individual Differences ◽  
Environmental Factors ◽  
Exercise Intervention ◽  
Measurement Instrument ◽  
Future Research ◽  
Target Groups ◽  
Children And Adolescent ◽  
Sources Of Variation ◽  
Genetic And Environmental Factors

Regular physical activity and fitness are key contributors to children’s health. It is important to understand sources of variation in phenotypes seen among children and adolescents. It is important to calculate the relative importance of genetic and environmental factors to observed individual differences. Heritability estimates of physical activity vary, depending on sample size and measurement instrument, but the overall importance of environmental factors seems to decrease in adolescence, whereas genetic effects become more prominent. Twin and family studies show that individual differences in maximal oxygen uptake, muscle strength, flexibility, and balance are affected by genetic factors. Some evidence is found for specific genes coding for physical activity and fitness, but children and adolescent studies are limited. Future research should prioritize these target groups as knowledge of the source of individual differences in physical activity and fitness at different time points can optimize the choice and timing of exercise intervention.

scholarly journals Cannabis use and psychosis: the origins and implications of an association

2007 ◽  
Vol 13 (6) ◽  
pp. 400-411 ◽  
Author(s):  
John Macleod
Keyword(s):  
Public Health ◽  
Mental Health ◽  
Mental Illness ◽  
Environmental Factors ◽  
Environmental Influence ◽  
Good Evidence ◽  
Cannabis Use ◽  
Future Research ◽  
Psychotic Illness ◽  
Genetic And Environmental Factors

Evidence for the effectiveness of treatment or secondary prevention of psychotic illness such as schizophrenia is often disappointing. This situation reflects our limited understanding of the aetiology of psychosis. There is good evidence that both genetic and environmental factors are implicated but the precise identity of these is unclear. Cannabis use is one candidate as a possible, modifiable environmental influence on both incidence and prognosis of psychosis. Evidence supporting this candidature is exclusively observational, and its strength has perhaps been overestimated and problems related to its interpretation underestimated by some. Nevertheless the possibility that cannabis does cause psychosis remains. Because of this, and because there are other good public health reasons to prevent cannabis use, interventions targeting use need to be evaluated. This evaluation, along with other imaginative approaches to future research, is needed to further our understanding of the determinants of mental illness and how we can most effectively improve the population's mental health.

Bulimia nervosa and major depression: a study of common genetic and environmental factors

1992 ◽  
Vol 22 (3) ◽  
pp. 617-622 ◽  
Author(s):  
Ellen E. Walters ◽  
Michael C. Neale ◽  
Lindon J. Eaves ◽  
Andrew C. Heath ◽  
Ronald C. Kessler ◽  
...  
Keyword(s):  
Risk Factors ◽  
Major Depression ◽  
Environmental Factors ◽  
Family Environment ◽  
Environmental Risk ◽  
Population Based ◽  
Environmental Risk Factors ◽  
Future Research ◽  
Clinical Diagnoses ◽  
Genetic And Environmental Factors

SynopsisA genetic analysis of the co-occurrence of bulimia and major depression (MD) was performed on 1033 female twin pairs obtained from a population based register. Personal interviews were conducted and clinical diagnoses made according to DSM-III-R criteria.Additive genes, but not family environment, are found to play an important aetiological role in both bulimia and MD. The genetic liabilities of the two disorders are correlated 0·456. While unique environmental factors account for around half of the variation in liability to both bulimia and MD, these risk factors appear to be unrelated, i.e., each disorder has its own set of unique environmental risk factors. Thus, the genetic liability of bulimia and MD is neither highly specific nor entirely nonspecific. There is some genetic correlation between the two disorders as well as some genetic and environmental risk factors unique to each disorder. Limitations and directions for future research are discussed.

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