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1.
Am J Public Health ; 112(S7): S679-S689, 2022 09.
Artículo en Inglés | MEDLINE | ID: mdl-36179297

RESUMEN

Objectives. To detail baseline drinking water sample lead concentrations and features of US state-level programs and policies to test school drinking water for lead in 7 states' operating programs between 2016 and 2018. Methods. We coded program and policy documents using structured content analysis protocols and analyzed state-provided data on lead concentration in drinking water samples collected in public schools during initial testing phases. Results. We analyzed data from 5688 public schools, representing 35% of eligible schools in 7 states. The number of samples per school varied. The proportion of schools identifying any sample lead concentration exceeding 5 parts per billion varied (13%-81%). Four states exceeded 20%. Other program features varied among states. Instances of lead above the state action level were identified in all states. Conclusions. In 2018, many US public school students attended schools in states without drinking water lead-testing programs. Testing all drinking water sources may be recommended. Public Health Implications. Initiating uniform school drinking water lead testing programs and surveillance over time could be used to reduce risk of lead exposure in drinking water. (Am J Public Health. 2022;112(S7):S679-S689. https://doi.org/10.2105/AJPH.2022.306961).


Asunto(s)
Agua Potable , Humanos , Plomo/análisis , Políticas , Prevalencia , Instituciones Académicas
2.
Prev Med Rep ; 15: 100940, 2019 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-31367511

RESUMEN

Many children are not sufficiently physically active. This study uses a quasi-experimental design to evaluate whether participation in a before-school physical activity program called Build Our Kids' Success (BOKS) increases physical activity. Participants (n = 426) were students in Fall, 2016 enrolled in BOKS programming and matched non-BOKS control students from the same grades (Kindergarten-6) and schools in Massachusetts and Rhode Island. Analyses conducted in 2017 examined differences between children in BOKS versus controls in total daily steps, minutes of moderate-to-vigorous (MVPA), vigorous (VPA), and total physical activity (TPA) assessed via Fitbit Charge HR™ monitors. Additional analyses compared physical activity on program days and non-program days. Students (mean age = 8.6 y; 47% female, 58% White, Non-Hispanic) wore monitors an average of 21.7 h/day on 3.2 days during the school week. Compared with controls, on BOKS days, BOKS participants accumulated more steps (1147, 95% confidence interval (CI): 583-1712, P < 0.001), MVPA minutes (13.4, 95% CI: 6.6-20.3, P < 0.001), and VPA minutes (4.0, 95% CI: 1.2-6.7, P = 0.005). Across all school days, BOKS participants accumulated more total steps than controls (716, 95% CI: 228-1204, P = 0.004). Compared to days without BOKS programming, on BOKS days, BOKS participants accumulated more steps (1153; 95% CI: 841-1464, P < 0.001) and daily minutes of MVPA (8.8, 95% CI: 5.3-12.2, P < 0.001), VPA (3.0, 95% CI: 1.6-4.5, P < 0.001), and TPA (20.8, 95% CI: 13.6-28.1, P < 0.001). BOKS programming promotes engagement in additional accumulated steps during the school week and physical activity on days that students participate. Clinical Trial Registration: www.ClinicalTrials.gov, NCT03403816, available at: https://clinicaltrials.gov/ct2/show/NCT03403816?term=NCT03403816&rank=1.

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