| Literature DB >> 19077186 |
Jamie F Chriqui1, Michael Tynan, Tanya Agurs-Collins, Louise C Mâsse.
Abstract
BACKGROUND: Recognizing the growing childhood overweight problem, a number of school-based strategies, including policy approaches, have been proposed and are being implemented to address the problem considering the amount of time children spend in schools. This paper describes the results of a pilot study that tested approaches to collecting U.S. school district policy information regarding physical education and nutrition requirements that can inform efforts by policy makers, researchers, advocates and others interested in collecting school district-level obesity-related policies that are typically not systematically available from a "one stop" source.Entities:
Year: 2008 PMID: 19077186 PMCID: PMC2637297 DOI: 10.1186/1479-5868-5-64
Source DB: PubMed Journal: Int J Behav Nutr Phys Act ISSN: 1479-5868 Impact factor: 6.457
Local pilot state selection
| California | High | West |
| Georgia | Middle | Southeast |
| Illinois | Middle/Low | Midwest |
| Massachusetts | Low | Northeast (township oriented) |
| New York | High | Northeast (not township oriented) |
| Texas | Middle | South Central |
* The classification of state policy extensiveness was based on a review of state physical education and school-based nutrition policies as of December 31, 2003 published in a supplement to the American Journal of Preventive Medicine.[9,10] These data were the only state policy classification data available at the time of the local sample selection. "High" state policy extensiveness indicated that the state law contained more in-depth policy provisions in the areas of PE and school-based nutrition. "Low" state policy extensiveness indicated that the state law contained little, if any, details relative to state guidelines governing PE and/or school-based nutrition issues.
Figure 1Mail-based canvass response pattern.
District policy retrieval rates by state, quartile, policy collection method, and topic
| California | 7 | 4 | 1 | 2 | 0 | 7 | 5 | 5 | 7 | 7 |
| Georgia | 9 | 5 | 1 | 2 | 1 | 6 | 6 | 3 | 9 | 9 |
| Illinois | 4 | 4 | 0 | 0 | 0 | 2 | 4 | 2 | 4 | 4 |
| Massachusetts | 5 | 4 | 0 | 1 | 0 | 2 | 5 | 2 | 5 | 4 |
| New York | 7 | 5 | 1 | 0 | 1 | 5 | 4 | 2 | 6 | 3 |
| Texas | 8 | 5 | 1 | 2 | 0 | 4 | 6 | 2 | 8 | 8 |
*Quartile 1 = largest districts; quartile 4 = smallest districts.
**Data are not mutually exclusive.
Local policy topics by collection method
| Web | Both | n | % | ||
| Time requirements | 7 | 13 | 12 | 32 | 53.3 |
| Staffing requirements | 3 | 5 | 7 | 15 | 25.0 |
| Standards for PE | 3 | 13 | 11 | 27 | 45.0 |
| Assessment of health-related fitness | 1 | 2 | 1 | 4 | 6.7 |
| Recess | 2 | 1 | 4 | 7 | 11.7 |
| A la carte F&B sales | 6 | 3 | 10 | 19 | 31.7 |
| Vending machines | 7 | 7 | 13 | 27 | 45.0 |
| Other competitive food sales | 7 | 5 | 13 | 25 | 41.7 |
| School meal environment | 0 | 0 | 1 | 1 | 1.7 |
| Reimbursable school meals | 0 | 0 | 2 | 2 | 3.3 |
| Food service director requirements | 2 | 1 | 2 | 5 | 8.3 |
| Nutrition education | 2 | 12 | 10 | 24 | 40.0 |
| Advertising | 0 | 1 | 0 | 1 | 1.7 |
| Pricing | 0 | 0 | 0 | 0 | 0 |
| Health advisory committee | 2 | 7 | 3 | 12 | 20.0 |
| BMI screening | 1 | 0 | 2 | 3 | 5.0 |