To examine the association of adolescents' snack and soft drink consumption with friendship group snack and soft drink consumption, availability of snacks and soft drinks at school, and personal characteristics, snack and soft drink consumption was assessed in 749 adolescents (398 girls, 351 boys, age 12.4 - 17.6 years), and their friends, and snack and soft drink availability at schools was measured. In regression analysis, consumption by friends, snack and soft drink availability within school, and personal characteristics (age, gender, education level, body mass index) were examined as determinants of snack and drink consumption. Snack and soft drink consumption was higher in boys, soft drink consumption was higher in lower educated adolescents, and snack consumption was higher in adolescents with a lower body weight. Peer group snack and soft drink consumption were associated with individual intake, particularly when availability in the canteen and vending machines was high. The association between individual and peer snack consumption was strong in boys, adolescents with a lower education level, and adolescents with lower body weights. Our study shows that individual snack and soft drink consumption is associated with specific combinations of consumption by peers, availability at school, and personal characteristics.
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AIMS: To assess the influence of peer alcohol use during adolescence on young adults' alcohol use and abuse, and to assess to what extent parents' perception of their adolescent child's friends and adolescent's self-control modify this influence.METHODS: We analyzed data from the first, third, and fourth wave of a population-based prospective cohort study of 2230 adolescents conducted between 2001 and 2010 (mean ages: 11.1, 16.3, and 19.1, respectively). Alcohol use and abuse were measured at T4 by self-report questionnaires and by the Composite International Diagnostics Interview (CIDI), respectively. Peer alcohol use, self-control, and parents' perception of their adolescent child's friends were measured at T3. We adjusted for gender, age, socioeconomic-status, parental alcohol use, and adolescent baseline alcohol use.RESULTS: Peer alcohol use during adolescence was related to young adults' alcohol use and abuse [odds ratio (95% confidence interval): 1.31 (1.11-1.54) and 1.50 (1.20-1.87), respectively]. Neither parents' perception of their adolescent child's friends nor self-control modified this relationship. Alcohol abusers were more likely to have low self-control than alcohol users. No differences were found between alcohol users and abusers regarding their parents' perception of their friends and peer alcohol use.CONCLUSIONS: Peer alcohol use during adolescence affects young adults' alcohol use and abuse. We found that self-control was only related to alcohol abuse. Peer influence was not modified by parents' perception of peers or by self-control. Peer alcohol use and self-control should thus be separate targets in the prevention of alcohol use/abuse.
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The majority of studies investigating associations between physical activity and mental health in adolescents have been cross-sectional in design. Potential associations between physical activity and mental health may be better examined longitudinally as physical activity levels tend to decrease in adolescence. Few studies have investigated these associations longitudinally in adolescents and none by measuring physical activity objectively. A total of 158 Dutch adolescents (mean age 13.6 years, 38.6 % boys, grades 7 and 9 at baseline) participated in this longitudinal study. Physical activity, depressive symptoms and self-esteem were measured at baseline and at the 1-year follow-up. Physical activity was objectively measured with an ActivPAL3™ accelerometer during one full week. Depressive symptoms were measured with the Center for Epidemiologic Studies Depression Scale (CES-D) and self-esteem was assessed with the Rosenberg Self-Esteem Scale (RSE). Results were analysed using structural equation modelling.
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BackgroundFatness and fitness both influence cardiometabolic risk.ObjectiveThe purpose of this study was to investigate whether childhood fatness and increasing fatness from childhood to adolescence are associated with cardiometabolic risk during adolescence and how fitness affects this association.Subjects and methodsOf 565 adolescents (283 boys and 282 girls) from the TRacking Adolescents Individual Life Survey (TRAILS) data on anthropometric parameters (age 11 and 16), metabolic parameters, and fitness (age 16) were available. Body mass index and skinfolds were used as measures for fatness. Increasing fatness was calculated by subtracting Z-scores for fatness at age 11 from Z-score fatness at age 16. Cardiometabolic risk was calculated as the average of the standardized means of mean arterial pressure, fasting serum triglycerides, high-density lipoprotein-cholesterol, glucose, and waist circumference. Insulin resistance was calculated by homeostasis model assessment-insulin resistance (HOMA-IR). Fitness was estimated as maximal oxygen consumption (VO2max) during a shuttle run test.ResultsBoys showed a higher clustered cardiometabolic risk when compared to girls (p < 0.01). Childhood fatness (age 11) and increasing fatness were independently associated with cardiometabolic risk during adolescence. In boys, high fitness was related to a reduced effect of increasing fatness on clustered cardiometabolic risk. Childhood fatness, increasing fatness, and fitness were independently associated with HOMA-IR. Moreover, in boys this association was dependent of fatness.ConclusionsChildhood fatness and increasing fatness are associated with increased cardiometabolic risk and HOMA-IR during adolescence, but a good fitness attenuates this association especially in fat boys.
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The transition from adolescence to adulthood also has been described as a window of opportunity or vulnerability when developmental and contextual changes converge to support positive turnarounds and redirections (Masten, Long, Kuo, McCormick, & Desjardins, 2009; Masten, Obradović, & Burt, 2006). The transition years also are a criminological crossroads, as major changes in criminal careers often occur at these ages as well. For some who began their criminal careers during adolescence, offending continues and escalates; for others involvement in crime wanes; and yet others only begin serious involvement in crime at these ages. There are distinctive patterns of offending that emerge during the transition from adolescence to adulthood. One shows a rise of offending in adolescence and the persistence of high crime rates into adulthood; a second reflects the overall age-crime curve pattern of increasing offending in adolescence followed by decreases during the transition years; and the third group shows a late onset of offending relative to the age-crime curve. Developmental theories of offending ought to be able to explain these markedly different trajectories
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Although essential for providing optimal adolescent patient support, knowledge of the impact of Marfan syndrome in adolescence is limited. To explore adolescents’ perceived impact of Marfan syndrome on (physical) functioning (activities, participation), disability (limitations, restrictions), contextual factors and support needs, we interviewed 19 adolescents with Marfan syndrome. Audio-recordings were transcribed, coded and analysed using thematic analysis. Identified themes were “difficulties in keeping up with peers” and “being and feeling different from peers”. Furthermore, an adolescent Marfan syndrome-specific International Classification of Functioning, Disability and Health for Children and Youth (ICF-CY) model derived from the data describing the adolescent perceived impact of Marfan syndrome on functioning, disability and its contextual factors. Adolescents perceived problems in keeping up with peers in school, sports, leisure and friendships/relationships, and they could not meet work requirements. Moreover, participants perceived to differ from peers due to their appearance and disability. Contextual factors: coping with Marfan syndrome, self-esteem/image, knowledge about Marfan syndrome, support from family/friends/teachers, ability to express needs and peer-group acceptation acted individually as barrier or facilitator for identified themes.
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We examined trajectories of multiple health risk behavior (MHRB) patterns throughout adolescence, and changes in mental health from childhood to young adulthood. Further, we assessed how continuity or onset of MHRBs overall were associated with subsequent changes in mental health, and whether this varied by type of MHRBs. We used six waves of the prospective Dutch TRAILS study (2001–2016; n =2229), covering ages 11 until 23. We measured MHRBs (substance use: alcohol misuse, cannabis use, smoking; and obesity-related: overweight, physical inactivity, irregular breakfast intake) at three time points during adolescence. We assessed mental health as Youth/Adult Self-report total problems at ages 11 and 23. Latent class growth analyses and ANOVA were used to examine longitudinal trajectories and associations. We identified six developmental trajectories for the total of MHRBs and mental health. Trajectories varied regarding likelihood of MHRBs throughout adolescence, mental health at baseline, and changes in mental health problems in young adulthood. We found no associations for the continuity of overall MHRBs throughout adolescence, and neither for early, mid- or late onset, with changes in mental health problems in young adult-hood. However, continuity of MHRBs in the obesity-related subgroup was significantly associated with an in-crease in mental health problems. Adolescents with the same MHRB patterns may, when reaching adulthood, have different levels of mental health problems, with mental health at age 11 being an important predictor. Further, involvement with obesity- related MHRBs continuously throughout adolescence is associated with increased mental health problems in young adulthood.
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Purpose: This case study is presented to inform the reader of potential speech, language, cognitive, and emotional characteristics in preadolescent cluttering. Method: This case study describes a 10-year-old boy who started to clutter during preadolescence. The case illustrates that, in some adolescents, cluttering can co-occur with temporary stuttering-like behavior. In this case, signs of disturbances in speech-language production associated with behavioral impulsiveness as a young child were noted. Speech, language, cognitive, and emotional results of the case are reported in detail. Results: The changes in fluency development are reported and discussed within the context of changes in the adolescent brain as well as adolescent cognitive and emotional development. While being unaware of their speech condition before adolescence, during preadolescence, the changes in brain organization lead to an increase in rate and a decrease in speech control. Given that the client had limited understanding of what was occurring, they were at risk of developing negative communication attitudes. Speech-language therapists are strongly advised to monitor children with cluttering signals in the early years of their adolescence.
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PurposeWe assessed the association between trajectories of stressful life events (SLEs) throughout adolescence and changes in mental health from childhood to young adulthood. Further, we assessed whether family functioning moderated this association.MethodsData of the first six waves of the TRAILS study (2001-2016; n = 2229) were used, a cohort followed from approximately age 11 to 23. We measured SLEs (death of a family member or other beloved one, delinquency, moving, victim of violence, parental divorce, and sexual harassment) at ages 14, 16 and 19. Family functioning was measured at all six time points using the Family Assessment Device (FAD), and mental health was measured through the Youth/Adult Self-Report at ages 11 and 23. Latent class growth analyses (LCGA) were used to examine longitudinal trajectories and associations.ResultsWe identified three SLE trajectories (low, middle, high) throughout adolescence, and found no significant associations between these trajectories and changes in mental health from childhood to young adulthood. Family functioning and SLE trajectories were significantly associated, however, the association of SLE trajectories and changes in mental health was not modified by family functioning. Mental health problems at age 11 increased the likelihood of high SLE trajectories during adolescence, and of experiencing negative family functioning.ConclusionExperiencing SLEs throughout adolescence does not have a direct impact on changes in mental health from childhood to young adulthood, but early adolescence mental health problems increase the likelihood of experiencing SLEs.
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