Background: A limitation of traditional outcome studies from behavioral interventions is the lack of attention given to evaluating the influence of moderating variables. This study examined possible moderation effect of baseline activity levels on physical activity change as a result of the Ready for Recess intervention. Methods: Ready for Recess (August 2009-September 2010) was a controlled trial with twelve schools randomly assigned to one of four conditions: control group, staff supervision, equipment availability, and the combination of staff supervision and equipment availability. A total of 393 children (181 boys and 212 girls) from grades 3 through 6 (8-11 years old) were asked to wear an Actigraph monitor during school time on 4-5 days of the week. Assessments were conducted at baseline (before intervention) and post intervention (after intervention). Results: Initial MVPA moderated the effect of Staff supervision (β = −0.47%; p < .05), but not Equipment alone and Staff + Equipment (p > .05). Participants in the Staff condition that were 1 standard deviation (SD) below the mean for baseline MVPA (classified as "low active") had lower MVPA levels at post-intervention when compared with their low active peers in the control condition (Mean diff = −10.8 ± 2.9%; p = .005). High active individuals (+1SD above the mean) in the Equipment treatment also had lower MVPA values at post-intervention when compared with their highly active peers in the control group (Mean diff = −9.5 ± 2.9%; p = .009). Conclusions: These results indicate that changes in MVPA levels at post-intervention were reduced in highly active participants when recess staff supervision was provided. In this study, initial MVPA moderated the effect of Staff supervision on children's MVPA after 6 months of intervention. Staff training should include how to work with inactive youth but also how to assure that active children remain active.
One-third of youth in sample experienced food insecurity, which was strongly associated with presence of other health-related social problems. The two-item screen effectively detected food insecurity. Food insecurity screening may lead to identification of other health-related social problems that when addressed early may improve adolescent health.
We conducted a qualitative study to examine users' perceptions of a web-based screening and referral system for young adults with health-related social problems. The first 50 patients who used the system also took part in semi-structured interviews. There were 20 patients aged 15-17 years and 30 aged 18-25 years. Completing the web-based screening process took an average of 25 min. Ninety percent of participants reported at least one major health-related social problem and a total of 134 referrals were selected for further assistance. Ninety-six percent of participants said they would recommend the system to a friend or peer, and 80% supported its use for annual screening. Perceived strengths of the system were novelty, privacy, ease of use, relevance, motivation, variety and proximity of referrals, and clinic staff support. Perceived shortcomings were length, sensitivity, navigation challenges and agency availability. The system complemented provider visits and preserved privacy while improving attention to patient needs. Computerized screening and referral tools have potential to improve the quality of care in vulnerable young adults.
When provided with services to address health-related social problems, the majority of youth choose to receive help, with nearly half successfully addressing their priority concern. Further research to understand the barriers to contacting and utilizing services is needed. A technology-based patient-centered feedback and referral system for social determinants of health can facilitate screening and connect patients with resources to address these problems.
Background: School-based intervention studies promoting a healthy lifestyle have shown favorable immediate health effects. However, there is a striking paucity on long-term follow-ups. The aim of this study was therefore to assess the 3 yrfollow-up of a cluster-randomized controlled school-based physical activity program over nine month with beneficial immediate effects on body fat, aerobic fitness and physical activity.Methods and Findings: Initially, 28 classes from 15 elementary schools in Switzerland were grouped into an intervention (16 classes from 9 schools, n = 297 children) and a control arm (12 classes from 6 schools, n = 205 children) after stratification for grade (1st and 5th graders). Three years after the end of the multi-component physical activity program of nine months including daily physical education (i.e. two additional lessons per week on top of three regular lessons), short physical activity breaks during academic lessons, and daily physical activity homework, 289 (58%) participated in the follow-up. Primary outcome measures included body fat (sum of four skinfolds), aerobic fitness (shuttle run test), physical activity (accelerometry), and quality of life (questionnaires). After adjustment for grade, gender, baseline value and clustering within classes, children in the intervention arm compared with controls had a significantly higher average level of aerobic fitness at follow-up (0.373 z-score units [95%-CI: 0.157 to 0.59, p = 0.001] corresponding to a shift from the 50th to the 65th percentile between baseline and follow-up), while the immediate beneficial effects on the other primary outcomes were not sustained.Conclusions: Apart from aerobic fitness, beneficial effects seen after one year were not maintained when the intervention was stopped. A continuous intervention seems necessary to maintain overall beneficial health effects as reached at the end of the intervention.
PurposeSocial disparities among youth have been recognized as an important influence on disease risk later in the life cycle. Despite this, social problems are seldom assessed in a clinical setting. The primary objective of our study was to evaluate the impact of social disparities on the health of youth.MethodsA self-directed, web-based screening system was used to identify social disparities along seven social domains. Participants included youth, aged 15–24 years, recruited from an urban hospital clinic. The main outcome variable, self-rated health, was captured on a 5-point Likert scale. Univariable and multivariable regression models adjusted for sex, age, and race/ethnicity were implemented to assess the association between social problems and self-rated health. Correlation between social disparity problems was estimated using phi coefficient.ResultsAmong 383 participants, 297 (78%) reported at least one social problem. The correlation among social disparity problems was low. Social disparities had an independent effect on self-rated health, and, in a fully adjusted model, disparities in health care access and food insecurity remained significant. The presence of even one social problem was associated with a decrease in overall health (β=0.68, P<0.01).ConclusionThere is a high burden of social disparities among our youth urban hospital population. The presence of even one social problem increases the risk of worsening self-rated health. Evaluating the social disparities among youth in the medical setting can help elucidate factors that negatively affect patients’ health.
OBJECTIVE Primary care visits provide an opportunity to screen adolescents for substance use and offer early intervention. Little is known, however, about what follow-up plans primary care providers (PCPs) make for adolescent patients who screen positive. The objective of this study was to determine follow-up recommendations by PCPs and assess the relationship between their diagnostic impressions of substance use severity and plans for intervention. METHODS Data were collected through a prospective observational study conducted at 7 primary care practices in New England. Patients aged 12 to 18 years completed an interview, which included sociodemographic characteristics and the CRAFFT substance abuse screen. PCPs received screen results, noted their diagnostic impression of participants’ substance use severity, and recorded follow-up plans. Follow-up plans other than “periodic screening” alone were defined as “active intervention.” We examined the relationship of provider impressions with follow-up recommendations by using the χ2 test. RESULTS For the entire sample of 2034 adolescents, PCPs recommended no plan for 369 patients, periodic screening for 1557 patients, a return visit for 98 patients, and referral to counseling for 44 patients. PCPs’ diagnostic impressions identified 97 (4.8%) patients with problem use and 19 (0.01%) patients with abuse or dependence. Recommendations for active intervention were more likely with patients’ higher severity of use. However, 1 in 5 patients thought to have problem use did not receive a recommendation for an active intervention. Parent notification was planned for only 13 patients. CONCLUSIONS When concerned about substance use, PCPs recommend to patients a return visit to their office more than twice as often as referral to counseling, and they seldom plan to inform parents of adolescents’ substance use. PCPs need greater opportunities for training in the delivery of medical office–based therapeutic interventions and in strategies for managing adolescent substance use in the outpatient setting.
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