scholarly journals School Factors Associated With the Percentage of Students Who Walk or Bike to School, School Health Policies and Practices Study, 2014

2016 ◽  
Vol 13 ◽  
Author(s):  
Sherry Everett Jones ◽  
Sarah Sliwa
Keyword(s):  
School Health ◽  
Health Policies ◽  
School Factors ◽  
Factors Associated ◽  
Policies And Practices

scholarly journals Challenges in and Strategies for the Surveillance of School Health Policies and Practices: A Commentary

2014 ◽  
Vol 84 (11) ◽  
pp. 687-689 ◽  
Author(s):  
Nancy D. Brener ◽  
Howell Wechsler ◽  
Laura Kann
Keyword(s):  
School Health ◽  
Health Policies ◽  
Policies And Practices

scholarly journals Testing the “Zero‐Sum Game” Hypothesis: An Examination of School Health Policies and Practices and Inequalities in Educational Outcomes

2020 ◽  
Vol 90 (5) ◽  
pp. 415-424 ◽  
Author(s):  
Sara J. Long ◽  
Hannah Littlecott ◽  
Jemma Hawkins ◽  
Gemma Eccles ◽  
Adam Fletcher ◽  
...  
Keyword(s):  
Educational Outcomes ◽  
School Health ◽  
Health Policies ◽  
Zero Sum ◽  
Policies And Practices

US nationwide assessment of school health policies and practices using state-level data

2021 ◽  
pp. 001789692110085
Author(s):  
Leah N Bryan ◽  
Nancy Brener ◽  
Lawrence Barker ◽  
Annie Lo ◽  
J Michael Underwood
Keyword(s):  
School Health ◽  
State Level ◽  
Data Sources ◽  
Health Policies ◽  
Sign Test ◽  
Surveillance Systems ◽  
Level Data ◽  
Prevalence Estimates ◽  
Nationally Representative ◽  
Policies And Practices

Objective: After the discontinuation of School Health Policies and Practices Study (SHPPS) in 2016, the US Centers for Disease Control and Prevention (CDC) began exploring innovative ways to gather school health information using existing surveillance systems. School Health Profiles (Profiles) is a school-based system of surveys that monitors school health policies and practices in states and other jurisdictions. The objective of this study was to assess whether prevalence estimates calculated using nationally representative SHPPS as an established benchmark were similar to estimates using aggregated Profiles data. Method: Nationwide 2014 Profiles estimates were calculated from data across all 50 US states and the District of Columbia and compared to national 2014 SHPPS estimates. Fifty-seven questions were identical between the data sources. Equivalence tests were used to determine similarity between data sources. Results: Overall, the median difference between 2014 SHPPS and 2014 Profiles estimate was one percentage point and distribution-free 95% confidence intervals were (−0.8, 3.1). Of the 57 school health policy and practice indicators examined in this study, 38 (66.7%) were found to be equivalent. Of these equivalent indicators, the median percentage point difference between data sources was 0.8 (−0.8, 2.5). A nonparametric sign test showed that none of the medians of the estimate differences examined were significantly different from zero. Conclusion: This study demonstrates the expanded utility of state-level data to meet public health surveillance needs. This study found that aggregated, state-level Profiles data can be used to calculate nationwide prevalence estimates that are reasonably consistent with results from a nationally representative survey.

scholarly journals Trends in Asthma‐Related School Health Policies and Practices in the US States

2021 ◽  
Author(s):  
Xiaoting Qin ◽  
Hatice S. Zahran ◽  
Michelle Leon‐Nguyen ◽  
Greta Kilmer ◽  
Pamela Collins ◽  
...  
Keyword(s):  
School Health ◽  
Health Policies ◽  
Us States ◽  
The Us ◽  
Policies And Practices

FACTORS ASSOCIATED WITH SCHOOL REFUSAL BEHAVIOUR IN PRIMARY SCHOOL STUDENTS

2019 ◽  
pp. 1-13
Keyword(s):  
Primary School ◽  
Primary Schools ◽  
Pearson Correlation ◽  
School Refusal ◽  
Self Report ◽  
Primary School Students ◽  
School Students ◽  
School Factors ◽  
School Refusal Behavior ◽  
Factors Associated

The aim of this study was to identify the factors associated with school refusal behavior in primary school students. Student’s self-report and teacher’s measures were implemented; and students were recruited from 20 primary schools in six districts in Selangor, Malaysia. The survey was conducted at the end of school term in 2016, with a total of 915 students from Year 4 and Year 5 participating. The sample of students had been absent from school for more than 15% of school days in the current year. Pearson correlation shows a significant relationship between academic achievement and school satisfaction toward school refusal behavior. The findings of this study suggest that academic difficulties and dissatisfaction towards school environment could be the important risk factors for school refusal behavior. The present study underscores the importance of early detection and intervention as measures to reduce school refusal. Finally, the findings imply that the role of school factors should always be taken into account in connection with school refusal behaviour.

scholarly journals Determinants of student’s physical activity: a 12-month follow-up study in Ningxia province

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Wei Huang ◽  
Xiangrong Shi ◽  
Yujie Wang ◽  
Xiaoling Li ◽  
Pengpeng Gao ◽  
...  
Keyword(s):  
Physical Activity ◽  
Children And Adolescents ◽  
Vigorous Physical Activity ◽  
Skill Training ◽  
Critical Role ◽  
School Factors ◽  
Factors Associated ◽  
Students Attitudes ◽  
Sport Events

Abstract Background Physical activity has many health benefits for children and adolescents. However, the prevalence of physical inactivity in school-aged children and adolescents remains high in China. Many factors impact the levels of moderate and vigorous physical activity (MVPA) among students. This study investigated the factors associated with students’ MVPA levels and the determinants of changes in their MVPA behaviour. Methods This is a longitudinal study with a 12-month follow-up. The study samples were obtained from 2016 and 2017 Physical Activity and Fitness in China—The Youth Study, and they included 1597 students (aged 9–18 years) from 31 primary, junior high, and high schools in Ningxia Province. Factors related to the individual (Age, Sex, BMI and attitude to PA), school (school exercise facility, PE class, teacher support, PA time and PA environment) and neighbourhood (free skill training, sport events, sport organization, sport facility) factors were measured via questionnaire at baseline and after 12 months. Multiple logistic regression was performed to examine the factors that impact students’ MVPA level and the determinants of changes in students’ MVPA behaviour. Results There was no difference in students’ MVPA levels between 2016 and 2017. Boys were more physically active than girls at baseline (RR 1.55, 95% CI 1.10, 2.20). Neighbourhood factors associated students’ MVPA levels were significant, but all of these factors (neighbourhood sport events, organizations, facilities, etc.) were removed from the longitudinal model. Individual and school factors were important for students’ MVPA maintenance and positive development (e.g., gender, attitude, school PE class and PA time). Conclusions In conclusion, both neighbourhood and school factors may affect students’ MVPA, but school appears to plays a more critical role in maintaining and promoting students’ MVPA levels. In addition, individual factors may be more important than school and neighbourhood factors in influencing students’ MVPA levels. Our research demonstrates that students’ attitudes towards PA and school factors should be considered targets for future intervention programmes to promote MVPA. More education programmes may help enhance students’ attitudes towards PA, but more studies with large samples and objective assessments are needed to explore the determinants of MVPA.

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