Rates of self-reported delinquency among Western Australian male and female high school students: the malefemale gender gap

The Adapted Self-Report Delinquency Scale (ASDS) was administered to 328 adolescents (174 males and 154 females) from eight high schools in Perth, Western Australia. The ages of the sample ranged from 13 to 17 years. Males reported a greater percentage level of involvement than females in 36 of 40 individual delinquent behaviours comprising the ASDS. A between-subjects multivariate analysis of variance using a Bonferroni adjusted alpha revealed a significant multivariate main effect of gender, F(6, 318) = 3.98, p < 0.001, partial η2 = 0.08. No significant main effect of age was evident. Univariate F-tests revealed that males scored significantly higher than females on only one of seven delinquent factors (physical aggression). These data are discussed in light of established evidence showing male predominance in delinquency, recent reports suggesting a male-female gender gap, and theories that have attempted to explain this disparity in offending among males and females

Self-Control and Adverse “Drinking” Consequences

Most research on adverse alcohol consequences such as problems with health, work, and relationships focuses only on alcohol use itself as a cause of these outcomes. However, Gottfredson and Hirschi’s (1990) self-control theory holds that alcohol use and these negative outcomes are likely to have a common cause–low self-control. Tests of hypotheses derived from self-control theory show that self-control predicts negative drinking consequences better than combined measures of alcohol dependence and frequency and quantity of drinking. This suggests that various forms of risk–taking behavior and negative outcomes can be conceptualized as indicators of underlying levels of self-control

Goal setting and self-efficacy among delinquent, at-risk and not at-risk adolescents

Setting clear achievable goals that enhance self-efficacy and reputational status directs the energies of adolescents into socially conforming or non-conforming activities. This present study investigates the characteristics and relationships between goal setting and self-efficacy among a matched sample of 88 delinquent (18 % female), 97 at-risk (20 % female), and 95 not at-risk adolescents (20 % female). Four hypotheses related to this were tested. Findings revealed that delinquent adolescents reported fewest goals, set fewer challenging goals, had a lower commitment to their goals, and reported lower levels of academic and self-regulatory efficacy than those in the at-risk and not at-risk groups. Discriminant function analysis indicated that adolescents who reported high delinquency goals and low educational and interpersonal goals were likely to belong to the delinquent group, while adolescents who reported high educational and interpersonal goals and low delinquency goals were likely to belong to the not at-risk group. The at-risk and not at-risk groups could not be differentiated. A multinomial logistic regression also revealed that adolescents were more likely to belong to the delinquent group if they reported lower self-regulatory efficacy and lower goal commitment. These findings have important implications for the development of prevention and intervention programs, particularly for those on a trajectory to delinquency. Specifically, programs should focus on assisting adolescents to develop clear self-set achievable goals and support them through the process of attaining them, particularly if the trajectory towards delinquency is to be addressed

The daily association between affect and alcohol use: a meta-analysis of individual participant data

Influential psychological theories hypothesize that people consume alcohol in response to the experience of both negative and positive emotions. Despite two decades of daily diary and ecological momentary assessment research, it remains unclear whether people consume more alcohol on days they experience higher negative and positive affect in everyday life. In this preregistered meta-analysis, we synthesized the evidence for these daily associations between affect and alcohol use. We included individual participant data from 69 studies (N = 12,394), which used daily and momentary surveys to assess affect and the number of alcoholic drinks consumed. Results indicate that people are not more likely to drink on days they experience high negative affect, but are more likely to drink and drink heavily on days high in positive affect. People self-reporting a motivational tendency to drink-to-cope and drink-to-enhance consumed more alcohol, but not on days they experienced higher negative and positive affect. Results were robust across different operationalizations of affect, study designs, study populations, and individual characteristics. These findings challenge the long-held belief that people drink more alcohol following increases in negative affect. Integrating these findings under different theoretical models and limitations of this field of research, we collectively propose an agenda for future research to explore open questions surrounding affect and alcohol use.The present study was funded by the Canadian Institutes of Health Research Grant MOP-115104 (Roisin M. O’Connor), Canadian Institutes of Health Research Grant MSH-122803 (Roisin M. O’Connor), John A. Hartford Foundation Grant (Paul Sacco), Loyola University Chicago Research Support Grant (Tracy De Hart), National Institute for Occupational Safety and Health Grant T03OH008435 (Cynthia Mohr), National Institutes of Health (NIH) Grant F31AA023447 (Ryan W. Carpenter), NIH Grant R01AA025936 (Kasey G. Creswell), NIH Grant R01AA025969 (Catharine E. Fairbairn), NIH Grant R21AA024156 (Anne M. Fairlie), NIH Grant F31AA024372 (Fallon Goodman), NIH Grant R01DA047247 (Kevin M. King), NIH Grant K01AA026854 (Ashley N. Linden-Carmichael), NIH Grant K01AA022938 (Jennifer E. Merrill), NIH Grant K23AA024808 (Hayley Treloar Padovano), NIH Grant P60AA11998 (Timothy Trull), NIH Grant MH69472 (Timothy Trull), NIH Grant K01DA035153 (Nisha Gottfredson), NIH Grant P50DA039838 (Ashley N. Linden-Carmichael), NIH Grant K01DA047417 (David M. Lydon-Staley), NIH Grant T32DA037183 (M. Kushner), NIH Grant R21DA038163 (A. Moore), NIH Grant K12DA000167 (M. Potenza, Stephanie S. O’Malley), NIH Grant R01AA025451 (Bruce Bartholow, Thomas M. Piasecki), NIH Grant P50AA03510 (V. Hesselbrock), NIH Grant K01AA13938 (Kristina M. Jackson), NIH Grant K02AA028832 (Kevin M. King), NIH Grant T32AA007455 (M. Larimer), NIH Grant R01AA025037 (Christine M. Lee, M. Patrick), NIH Grant R01AA025611 (Melissa Lewis), NIH Grant R01AA007850 (Robert Miranda), NIH Grant R21AA017273 (Robert Miranda), NIH Grant R03AA014598 (Cynthia Mohr), NIH Grant R29AA09917 (Cynthia Mohr), NIH Grant T32AA07290 (Cynthia Mohr), NIH Grant P01AA019072 (P. Monti), NIH Grant R01AA015553 (J. Morgenstern), NIH Grant R01AA020077 (J. Morgenstern), NIH Grant R21AA017135 (J. Morgenstern), NIH Grant R01AA016621 (Stephanie S. O’Malley), NIH Grant K99AA029459 (Marilyn Piccirillo), NIH Grant F31AA022227 (Nichole Scaglione), NIH Grant R21AA018336 (Katie Witkiewitz), Portuguese State Budget Foundation for Science and Technology Grant UIDB/PSI/01662/2020 (Teresa Freire), University of Washington Population Health COVID-19 Rapid Response Grant (J. Kanter, Adam M. Kuczynski), U.S. Department of Defense Grant W81XWH-13-2-0020 (Cynthia Mohr), SANPSY Laboratory Core Support Grant CNRS USR 3413 (Marc Auriacombe), Social Sciences and Humanities Research Council of Canada Grant (N. Galambos), and Social Sciences and Humanities Research Council of Canada Grant (Andrea L. Howard)

School-level variation in health outcomes in adolescence: analysis of three longitudinal studies in England

School factors are associated with many health outcomes in adolescence. However, previous studies report inconsistent findings regarding the degree of school-level variation for health outcomes, particularly for risk behaviours. This study uses data from three large longitudinal studies in England to investigate school-level variation in a range of health indicators. Participants were drawn from the Longitudinal Study of Young People in England, the Me and My School Study and the Research with East London Adolescent Community Health Survey. Outcome variables included risk behaviours (smoking, alcohol/cannabis use, sexual behaviour), behavioural difficulties and victimisation, obesity and physical activity, mental and emotional health, and educational attainment. Multi-level models were used to calculate the proportion of variance in outcomes explained at school level, expressed as intraclass correlations (ICCs) adjusted for gender, ethnicity and socio-economic status of the participants. ICCs for health outcomes ranged from nearly nil to .28 and were almost uniformly lower than for attainment (.17-.23). Most adjusted ICCs were smaller than unadjusted values, suggesting that school-level variation partly reflects differences in pupil demographics. School-level variation was highest for risk behaviours. ICCs were largely comparable across datasets, as well as across years within datasets, suggesting that school-level variation in health remains fairly constant across adolescence. School-level variation in health outcomes remains significant after adjustment for individual demographic differences between schools, confirming likely effects for school environment. Variance is highest for risk behaviours, supporting the utility of school environment interventions for these outcomes