Day-to-day variation in adolescent food insecurity
In: Children and youth services review: an international multidisciplinary review of the welfare of young people, Band 149, S. 106954
ISSN: 0190-7409
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In: Children and youth services review: an international multidisciplinary review of the welfare of young people, Band 149, S. 106954
ISSN: 0190-7409
In: Journal of research on adolescence
ISSN: 1532-7795
AbstractCan positive transitions into young adulthood at age 25 prevent problematic substance use at age 31, even in the context of childhood adverse family environments, conduct problems, and adolescent substance use? We lean on John Schulenberg's developmental framework to examine this question, focusing on the potential young adult milestones of high school and college graduation, employment, residential independence, romantic partnership, and parenthood. Data came from a prospective‐longitudinal multi‐method study with N = 1199 participants who were first assessed at age 5 years old and followed to age 31. An accumulation of positive transitions in young adulthood (age 25) was associated with lower likelihood of age 31 problematic cannabis use. The protective effect for problematic cannabis use remained even when adjusting for childhood adverse family environments and was primarily driven by successful college graduation and/or home ownership. The accumulation of positive transitions protected individuals at modest to somewhat elevated risk due to childhood adverse family environments from experiencing age 31 cannabis use problems. However, for other individuals with very high numbers of conduct problems, or with high levels of adolescent substance use, the protective effects of accumulated positive transitions to young adulthood were less strong or nonexistent. Moreover, individuals who completed college or obtained full‐time employment by 25 were more likely to report problematic age 31 alcohol use. These findings highlight the central tenets of John Schulenberg's developmental framework, including the examination of ontogenetic continuity and discontinuity, the interplay of developmentally distal and proximal effects, and the identification of developmental protective factors that may sway people toward or away from substance use.
In: Journal of youth development: JYD : bridging research and practice, Band 17, Heft 1, S. 33-53
ISSN: 2325-4017
Recent research links disparities in children's language-related brain function to poverty and its correlates. Such disparities are hypothesized to underlie achievement gaps between students from low-income families and more advantaged peers. Interventions that improve language-related brain function in low-income students exist, but evaluations of their implementation within high-poverty elementary schools do not. This comparison-group study evaluates whether implementation within high-poverty elementary schools of Harmony Project music-based mentoring, previously shown in randomized controlled research to improve language-related brain function and literacy in low-income students, might be associated with academic improvement for participants compared with non-participating peers. Standardized academic achievement scores were evaluated retrospectively for 2nd graders who opted into or out of Harmony Project (HP) at baseline (nHP = 218; nnon-HP = 862) for weekly music-based mentoring over 2 years. Adjusting for baseline scores, HP participation was associated with higher standardized scores for math (+17 points; ß = .06, p = .02) and English language arts (+26 points; ß = .08, p = .002). Importantly, students with the lowest prior achievement scores showed the greatest gains for both math (+33 points; ß =.13, p =.02) and English language arts (+39 points; ß =.14, p =.02). Implementation within high-poverty elementary schools of a program previously found to improve language-related brain function in low-income students was associated with significant academic improvement for participants, particularly those with the lowest prior levels of achievement. Findings support the hypothesis that disparities in children's language-related brain function linked to poverty and its correlates may underlie achievement gaps.
In: Twin research and human genetics: the official journal of the International Society for Twin Studies (ISTS) and the Human Genetics Society of Australasia, Band 9, Heft 4, S. 507-522
ISSN: 1839-2628
In: Twin research and human genetics: the official journal of the International Society for Twin Studies (ISTS) and the Human Genetics Society of Australasia, Band 18, Heft 4, S. 335-347
ISSN: 1839-2628
The public health burden of alcohol is unevenly distributed across the life course, with levels of use, abuse, and dependence increasing across adolescence and peaking in early adulthood. Here, we leverage this temporal patterning to search for common genetic variants predicting developmental trajectories of alcohol consumption. Comparable psychiatric evaluations measuring alcohol consumption were collected in three longitudinal community samples (N = 2,126, obs = 12,166). Consumption-repeated measurements spanning adolescence and early adulthood were analyzed using linear mixed models, estimating individual consumption trajectories, which were then tested for association with Illumina 660W-Quad genotype data (866,099 SNPs after imputation and QC). Association results were combined across samples using standard meta-analysis methods. Four meta-analysis associations satisfied our pre-determined genome-wide significance criterion (FDR < 0.1) and six others met our 'suggestive' criterion (FDR <0.2). Genome-wide significant associations were highly biological plausible, including associations within GABA transporter 1, SLC6A1 (solute carrier family 6, member 1), and exonic hits in LOC100129340 (mitofusin-1-like). Pathway analyses elaborated single marker results, indicating significant enriched associations to intuitive biological mechanisms, including neurotransmission, xenobiotic pharmacodynamics, and nuclear hormone receptors (NHR). These findings underscore the value of combining longitudinal behavioral data and genome-wide genotype information in order to study developmental patterns and improve statistical power in genomic studies.