Early Onset Delinquency and Violent Delinquency in Adolescence: The Role of Abusive Parents and Delinquent Peer Associations

2021 ◽  
pp. 001112872110578
Author(s):  
Jihoon Kim ◽  
Stephanie M. Cardwell ◽  
Yeungjeom Lee

Early onset delinquency is a risk factor for offending over the life-course. This study aims to identify factors that modify the link between early onset of delinquency and later violence. Results show that engaging delinquency earlier, associating with deviant friends, and experiencing parental abuse have independent impacts on increased risk of violence. Also, early onset has positive interactions with peer delinquency and parental abuse. These findings enhance our understanding of the mechanisms through which early onset of delinquency is related to later violence and imply the importance of family- and school-based early interventions. Findings also highlight the importance of considering interactions between early onset delinquency and social risk factors in refining theories used to explain violence throughout the life course.

Author(s):  
Tara Renae McGee ◽  
Terrie E. Moffitt

This chapter considers whether the peak in the age–crime curve is a function of active offenders committing more crime during adolescence or a function of more individuals actively offending in the peak years. It discusses the two main and most empirically tested typological groupings: the life-course persistent group and the adolescence limited group. The chapter then reviews the evidence on a theoretically interesting grouping: those who abstain from antisocial and offending behavior. It focuses on the debate regarding whether those who were originally thought to recover from early-onset antisocial behavior have childhood-limited antisocial behavior or exhibit low-level chronic antisocial behavior across the life course. Finally, the chapter discusses how the theory it introduces accounts for adult-onset offending and considers whether there are gender differences that need to be accounted for by the theory.


Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Marialaura Bonaccio ◽  
Augusto Di Castelnuovo ◽  
Simona Costanzo ◽  
Mariarosaria Persichillo ◽  
Chiara Cerletti ◽  
...  

Introduction: A life course approach has been suggested as the most appropriated to establish the actual impact of socioeconomic status (SES) on health outcomes. Hypothesis: We assessed the hypothesis that SES trajectories from childhood to adulthood are useful to better evaluate the role of SES towards mortality risk in a large general population-based cohort. Methods: Longitudinal analysis on 22,194 subjects recruited in the general population of the Moli-sani study, Italy (2005-2010). Educational attainment (low/high) and SES in adulthood (measured by a score including occupational social class, housing and overcrowding, and dichotomized as low/high) were used to define four possible trajectories both in low and high SES in childhood (age of 8). Hazard ratios (HR) with 95% confidence intervals (95%CI) were calculated by multivariable Cox regression and competing risk models. Results: Over a median follow-up of 8.3 years (182,924 person-years), 1155 all-cause, of which 414 cardiovascular (CVD), deaths were ascertained. In the group with low SES in childhood, as opposed to those stably low (low education and low SES in adulthood), an upward in both educational attainment and material factors in adulthood was associated with lower risk of both all-cause (HR=0.64; 95%CI 0.52-0.79; Table) and CVD mortality (HR=0.62; 0.43-0.88), respectively. Subjects with high childhood SES experienced an increased risk of total and CVD death in absence of higher educational attainment despite a higher SES in adulthood (HR=1.47; 1.04-2.07 and HR=1.75;1.00-3.05, respectively) as compared to the group with both high education and high SES in adulthood. Conclusions: In conclusion, for individuals with low SES in childhood, an upward of both educational attainment and material factors over the life course is associated with lower risk of total and CVD death. In advantaged groups in childhood, lack of a higher educational attainment, rather than material factors, over the life course appears to be unfavourably associated with survival.


2019 ◽  
Vol 34 (5) ◽  
pp. 770-785
Author(s):  
Richard S. Carbonaro

Exposure to multiple forms of victimization has been shown to have increasingly negative outcomes, but their unique trajectory-setting effects have been largely unexplored. Using a life course approach, this article examines the life trajectories of child polyvictims. I use a nationwide sample including 3,652 respondents after cleaning and preparation. Seemingly unrelated regressions were used to predict depression and criminal behavior in childhood and adulthood. Results suggest that children who experience multiple forms of parental abuse tend to have life trajectories which grow increasingly worse through the life course. However, life trajectories of children experiencing violence outside the home have less persistent negative outcomes. Researchers and interventions should take differing life trajectories into account when attempting to aid different types of polyvictims.


2017 ◽  
Author(s):  
Colleen Molloy Farrelly

Trauma is an important predictor of alcoholism risk, as well as age of onset; those experiencing more types of trauma tend to be at increased risk. In addition, paternal and maternal history of alcoholism is highly related to alcoholism risk, and paternal history remains significant after controlling for trauma. Limitations of these findings include univariate testing, and follow-ups with more sophisticated age-to-onset models, such as random survival forests and boosted survival models, should be done to understand the interactions of trauma and other genetic and social risk factors to better understand the etiology of alcoholism.


Circulation ◽  
2014 ◽  
Vol 130 (suppl_2) ◽  
Author(s):  
Elias Salfati ◽  
Shuktika Nandkeolyar ◽  
Stephen Fortmann ◽  
Stephen Sidney ◽  
Mark A Hlakty ◽  
...  

Recent genome wide association studies (GWAS) have identified 49 single nucleotide polymorphisms (SNPs) associated with clinically significant complications of CAD including myocardial infarction (MI), CABG, PCI, and/or angina. The mechanism by which these loci influence the risk of clinical CAD remains largely unclear. We hypothesized that variants at these loci collectively facilitate the formation of coronary plaque in a monotonic fashion throughout the life course. We used genetic data from dbGAP (SEA, FHS, and MESA) as well as from the Stanford-Kaiser ADVANCE study imputed to the 1000 genomes project to examine the association between a genetic risk score (GRS) of high-risk alleles at these 49 SNPs and the presence of subclinical atherosclerosis. Subclinical atherosclerosis was identified by either pathologic examination of the coronary arteries or by radiographic assessment of coronary artery calcification (CAC). We stratified white/European subjects within each study into one of five age groups (≤30, 31-45, 46-60, 61-75, >75 years) and defined cases as subjects with either any raised lesions in their right coronary artery on autopsy (SEA, 26.7% subjects aged 18 to 30 years at time of unexpected death) or with an age and sex specific CAC score >75th percentile (all other studies, age > 30 years). Among 1561 cases and 5068 controls, we found a one SD increase in the GRS was associated with a 28% increased risk of having advanced subclinical coronary atherosclerosis (p = 3.82 x 10 -16 ). This increase in risk was significant in every age stratum (.01 > p > 9.4 x 10 -7 ) and was remarkably similar across all age strata (p test of heterogeneity = 0.99). We obtained near identical results and levels of significance when we restricted the GRS to 33 SNPs not associated with traditional risk factors. Our findings strongly support the notion that susceptibility alleles for clinical CAD uncovered through large-scale meta-analysis of GWAS uniformly promote the development of coronary atherosclerosis from birth. This predisposition is sustained at a constant level throughout one’s lifetime. Given it is observed at the earliest stage of plaque formation, it is unlikely to involve a concurrent predisposition to plaque rupture and/or thrombosis.


2011 ◽  
Vol 41 (10) ◽  
pp. 2057-2073 ◽  
Author(s):  
C. R. Gale ◽  
A. Aihie Sayer ◽  
C. Cooper ◽  
E. M. Dennison ◽  
J. M. Starr ◽  
...  

BackgroundSymptoms of anxiety and depression are common in older people, but the relative importance of factors operating in early and later life in influencing risk is unclear, particularly in the case of anxiety.MethodWe used data from five cohorts in the Healthy Ageing across the Life Course (HALCyon) collaborative research programme: the Aberdeen Birth Cohort 1936, the Caerphilly Prospective Study, the Hertfordshire Ageing Study, the Hertfordshire Cohort Study and the Lothian Birth Cohort 1921. We used logistic regression to examine the relationship between factors from early and later life and risk of anxiety or depression, defined as scores of 8 or more on the subscales of the Hospital Anxiety and Depression Scale, and meta-analysis to obtain an overall estimate of the effect of each.ResultsGreater neuroticism, poorer cognitive or physical function, greater disability and taking more medications were associated in cross-sectional analyses with an increased overall likelihood of anxiety or depression. Associations between lower social class, either in childhood or currently, history of heart disease, stroke or diabetes and increased risk of anxiety or depression were attenuated and no longer statistically significant after adjustment for potential confounding or mediating variables. There was no association between birth weight and anxiety or depression in later life.ConclusionsAnxiety and depression in later life are both strongly linked to personality, cognitive and physical function, disability and state of health, measured concurrently. Possible mechanisms that might underlie these associations are discussed.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Charlie M. Wray ◽  
Marzieh Vali ◽  
Louise C. Walter ◽  
Lee Christensen ◽  
Wendy Chapman ◽  
...  

Abstract Background Previous research has found that social risk factors are associated with an increased risk of 30-day readmission. We aimed to assess the association of 5 social risk factors (living alone, lack of social support, marginal housing, substance abuse, and low income) with 30-day Heart Failure (HF) hospital readmissions within the Veterans Health Affairs (VA) and the impact of their inclusion on hospital readmission model performance. Methods We performed a retrospective cohort study using chart review and VA and Centers for Medicare and Medicaid Services (CMS) administrative data from a random sample of 1,500 elderly (≥ 65 years) Veterans hospitalized for HF in 2012. Using logistic regression, we examined whether any of the social risk factors were associated with 30-day readmission after adjusting for age alone and clinical variables used by CMS in its 30-day risk stratified readmission model. The impact of these five social risk factors on readmission model performance was assessed by comparing c-statistics, likelihood ratio tests, and the Hosmer-Lemeshow goodness-of-fit statistic. Results The prevalence varied among the 5 risk factors; low income (47 % vs. 47 %), lives alone (18 % vs. 19 %), substance abuse (14 % vs. 16 %), lacks social support (2 % vs. <1 %), and marginal housing (< 1 % vs. 3 %) among readmitted and non-readmitted patients, respectively. Controlling for clinical factors contained in CMS readmission models, a lack of social support was found to be associated with an increased risk of 30-day readmission (OR 4.8, 95 %CI 1.35–17.88), while marginal housing was noted to decrease readmission risk (OR 0.21, 95 %CI 0.03–0.87). Living alone (OR: 0.9, 95 %CI 0.64–1.26), substance abuse (OR 0.91, 95 %CI 0.67–1.22), and having low income (OR 1.01, 95 %CI 0.77–1.31) had no association with HF readmissions. Adding the five social risk factors to a CMS-based model (age and comorbid conditions; c-statistic 0.62) did not improve model performance (c-statistic: 0.62). Conclusions While a lack of social support was associated with 30-day readmission in the VA, its prevalence was low. Moreover, the inclusion of some social risk factors did not improve readmission model performance. In an integrated healthcare system like the VA, social risk factors may have a limited effect on 30-day readmission outcomes.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Emelie Thern ◽  
Jonas Landberg ◽  
Tomas Hemmingsson

Abstract Background Social inequalities in labor force participation are well established, but the causes of these inequalities are not fully understood. The present study aims to investigate the association between educational qualification and labor market marginalization (LMM) among mature-aged working men and to examine to what extent the association can be explained by risk factors over the life course. Method The study was based on a cohort of men born between 1949 and 1951 who were examined for Swedish military service in 1969/70 and employed in 2000 (n = 41,685). Data on educational qualification was obtained in 2000 and information on the outcome of LMM (unemployment, sickness absence, and disability pension) was obtained between 2001 and 2008. Information on early health behaviors, cognitive ability, previous employment histories, and mental health was collected from conscription examinations and nationwide registers. Results Evidence of a graded association between years of education and LMM was found. In the crude model, compared to men with the highest level of education men with less than 12 years of schooling had more than a 2.5-fold increased risk of health-related LMM and more than a 1.5-fold increased risk of non-health-related LMM. Risk factors measured across the life course explained a large part of the association between education and health-related LMM (33–61%) and non-health-related LMM (13–58%). Conclusions Educational differences remained regarding LMM among mature-aged workers, even after considering several important risk factors measured across the life course. Previous health problems and disrupted employment histories explained the largest part of the associations.


2015 ◽  
pp. 267-281
Author(s):  
A. Raisa Petca ◽  
Allison K. Zoromski ◽  
Steven W. Evans ◽  
Yuko Watabe

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