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This study examines associations between leisure reading and reading skills in data of 2,525 students followed from age 7 to 16. As a step further from traditional cross-lagged analysis, a random intercept cross-lagged panel model was used to identify within-person associations of leisure reading (books, magazines, newspapers, and digital reading), reading fluency, and reading comprehension. In Grades 1-3 poorer comprehension and fluency predicted less leisure reading. In later grades more frequent leisure reading, particularly of books, predicted better reading comprehension. Negative associations were found between digital reading and reading skills. The findings specify earlier findings of correlations between individuals by showing that reading comprehension improvement, in particular, is predicted by within-individual increases in book reading.

An extensive theoretical and qualitative literature stresses the promise of instructional practices and content aligned with minority students' experiences. Ethnic studies courses provide an example of such \"culturally relevant pedagogy\" (CRP). Despite theoretical support, quantitative evidence on the effectiveness of these courses is limited. We estimate the causal effects of an ethnic studies curriculum, using a \"fuzzy\" regression discontinuity design based on the fact that several schools assigned students with eighth-grade GPAs below a threshold to take the course. Assignment to this course increased ninth-grade attendance by 21 percentage points, GPA by 1.4 grade points, and credits earned by 23. These surprisingly large effects suggest that CRP, when implemented in a high-fidelity context, can provide effective support to at-risk students.

The COVID-19 pandemic and resulting stay-at-home orders created a need for assessing elementary, middle, and high school students' experienced stressors associated with the coronavirus situation. In collaboration with a school district wanting information about their students' well-being during the pandemic school shut-down, the current study investigated students' reported types and levels of COVID-19 stressors. Data were collected from 2,738 students from fourth through 12th grade in a suburban Midwestern school district in the United States following school closure related to the COVID-19 pandemic. Data on stress associated with the COVID-19 pandemic were gathered from students via an online survey using Qualtrics. The students rated 20 items (e.g., not motivated to do schoolwork, not going to my school) on stress level. Stressor categories found included Social Isolation, Schoolwork Stress, Fear of COVID-19 Illness, and Missing Events. Middle and high school students reported higher schoolwork stress than did elementary students, and overall, females had higher reported stress on several stressors. The current study has implications for school psychologists including utilizing a tool to assess pandemic-related stressors, using prepandemic normative data in schools with caution, promoting education about COVID-19 to reduce fear, supporting teachers regarding addressing schoolwork stress experienced by students, and teaching students anxiety-reducing strategies such as mindfulness or coping strategies.

Context In the spring of 2020, US schools closed to in-person teaching and sports were cancelled to control the transmission of coronavirus disease 2019 (COVID-19). It is critical to understand the mental and physical health of adolescent athletes during this time. Objective To describe the health of athletes during COVID-19-related school closures and sport cancellations. Design Cross-sectional study. Setting A national sample recruited via social media. Patients or Other Participants A total of 13 002 US adolescent athletes (age = 16.3 ± 1.2 years, females = 52.9%, males = 47.0%) completed an anonymous online survey. Main Outcome Measure(s) Demographic information collected was sex, grade, sport(s) played, and zip code. Assessments used were the General Anxiety Disorder 7-Item for anxiety, Patient Health Questionnaire 9-Item for depression, the Pediatric Functional Activity Brief Scale for physical activity, and the Pediatric Quality of Life Inventory 4.0 for quality of life. Mental health, physical activity, and health-related quality-of-life variables were compared among sex, grade, sport(s) played, and poverty level using means and 95% confidence intervals (CIs) from the survey-weighted analysis of variance. Results Females reported a higher prevalence of moderate to severe anxiety symptoms (females = 43.7% versus males = 28.2%). The Pediatric Functional Activity Brief Scale score was highest (best) for grade 9 (mean = 14.5, 95% CI = 14.0, 15.0) and lowest for grade 11 (mean = 10.9, 95% CI = 10.5, 11.3). The prevalence of depression symptoms was highest in team sport (74.1%) and lowest in individual sport (64.9%) participants. The total Pediatric Quality of Life Inventory score was lowest (worst) for athletes from counties with the highest poverty levels (high: mean = 74.5, 95% CI = 73.7, 75.3; middle: mean = 78.9, 95% CI = 78.0, 79.8; and low: mean = 78.3, 95% CI = 77.4, 79.1). Conclusions The health of US adolescents during the COVID-19-related school closures and sport cancellations varied to differing degrees depending on sex, grade level, type of sport participation, and level of poverty. Health policy experts should consider these findings in the future when creating and implementing policies to improve the health of adolescents in the United States.

This study aimed to investigate the contribution of teacher support and parental monitoring to academic performance over three years, testing the mediating role of self-determined motivation and academic self-efficacy and establishing whether the role of teachers and parents varies over time. A total of 419 adolescents—201 males (48%) and 218 females (52%), M age = 14.34 years ( SD = .90)—attending at T1 the ninth grade of schooling participated in the study. The questionnaires were administered three times over three years in February 2016 (T1), February 2017 (T2), and February 2018 (T3). Specifically, at T1, the students answered questionnaires regarding parental monitoring and teacher support. At T2 and T3, the students completed questionnaires about self-determined motivation and academic self-efficacy. At the end of each school year, in June 2017 (T2b) and June 2018 (T3b), the teachers’ assessments of the students’ academic performance expressed in school marks were collected. A structural equation model was used to test the hypothesised longitudinal relations between the study variables. The results showed that teacher support and parental monitoring directly and positively affected motivation and self-efficacy over time, which, in turn, impacted academic performance positively. The results also indicated that teacher support and parental monitoring indirectly affected academic performance over time through the mediation of motivation and self-efficacy and that the parents’ influence was highest on motivation, while the teachers’ influence was highest on self-efficacy. These results suggest the importance of implementing interventions aimed at enhancing parental monitoring and teacher support to improve students’ academic performance.

This study examined to what extent adolescents’ and their friends’ risk behaviors (i.e., delinquency and alcohol use) hinder or promote their academic achievement (grade point average [GPA]), and vice versa. Longitudinal data were used (N = 1,219 seventh‐ to ninth‐grade adolescents; Mage = 13.69). Results showed that risk behaviors negatively affected adolescents’ GPA, whereas GPA protected against engaging in risk behaviors. Moreover, adolescents tended to select friends who have similar behaviors and friends’ behaviors became more similar over time (same‐behavior selection and influence). Furthermore, although same‐behavior effects seemed to dominate, evidence was found for some cross‐behavior selection effects and a tendency in seventh grade for cross‐behavior influence effects. Concluding, it is important to investigate the interplay between different behaviors with longitudinal social network analysis.