| Literature DB >> 22380938 |
Margaret Beam1, Ginny Ehrlich, Jessica Donze Black, Audrey Block, Laura C Leviton.
Abstract
INTRODUCTION: Federal and state policies identify schools as a setting to prevent childhood obesity, but schools need better health-promoting strategies. The objective of this study was to evaluate interim progress in schools receiving hands-on training from the Healthy Schools Program, the nation's largest school-based program aimed at preventing childhood obesity. The 4-year program targets schools with predominantly low-income, African American, or Hispanic students.Entities:
Mesh:
Year: 2012 PMID: 22380938 PMCID: PMC3366696 DOI: 10.5888/pcd9.110106
Source DB: PubMed Journal: Prev Chronic Dis ISSN: 1545-1151 Impact factor: 2.830
School Participation Status in the Healthy Schools Program, 2007-2010
| Status in 2010 | Initial Year | Total | |
|---|---|---|---|
|
| |||
| 2007-2008 | 2008-2009 | ||
| Continuing | 549 | 932 | 1,481 |
| Inactive | 38 | 37 | 75 |
| Dropped | 85 | 138 | 223 |
| School closed | 36 | 30 | 66 |
| Completed program | 23 | 10 | 33 |
| Transitioned to online | 0 | 31 | 31 |
| Total recruited | 731 | 1,178 | 1,909 |
Initial year is based on the date of initial sessions and memorandum of understanding.
Schools that continued training and technical assistance and provision of inventories or action plans through December 2010.
Schools that did not continue training and technical assistance or update an inventory or action plan in a year.
Schools that chose not to continue the Healthy Schools Program.
Schools that completed the Healthy Schools Program.
Schools in Alaska that lost their relationship manager and transitioned to online participation exclusively.
Characteristics of Schools Participating in the Healthy Schools Program (HSP) and Schools Providing Both Baseline and Follow-up HSP Inventory Data, 2007-2010a
| Characteristic | Number and Percentage With Characteristic | |||||
|---|---|---|---|---|---|---|
|
| ||||||
| 2007-2008 | 2008-2009 | Total | ||||
|
| ||||||
| Recruited Schools (n = 731), n (%) | Data Provided (n = 501), n (%) | Recruited Schools (n = 1,178), n (%) | Data Provided (n = 794), n (%) | Recruited Schools (n = 1,909), n (%) | Data Provided (n = 1,295), n (%) | |
|
| ||||||
| Elementary | 438 (60) | 306 (61) | 735 (62) | 518 (65) | 1,173 (61) | 824 (64) |
| Middle | 138 (19) | 99 (20) | 186 (16) | 121 (15) | 324 (17) | 220 (17) |
| High | 113 (15) | 77 (15) | 152 (13) | 101 (13) | 265 (14) | 178 (14) |
| Other/missing | 42 (6) | 19 (4) | 105 (9) | 54 (7) | 147 (8) | 73 (6) |
|
| ||||||
| 0-24 | 51 (7) | 16 (3) | 74 (6) | 47 (6) | 125 (7) | 63 (5) |
| 25-49 | 135 (18) | 98 (20) | 173 (15) | 118 (15) | 308 (16) | 216 (17) |
| 50-74 | 171 (23) | 134 (27) | 356 (30) | 245 (31) | 527 (28) | 379 (29) |
| 75-100 | 336 (46) | 234 (47) | 428 (36) | 285 (36) | 764 (40) | 519 (40) |
| Missing | 38 (5) | 19 (4) | 147 (13) | 99 (13) | 185 (10) | 118 (9) |
|
| ||||||
| White | 211 (29) | 133 (27) | 432 (37) | 312 (39) | 643 (34) | 445 (34) |
| African American | 268 (37) | 206 (41) | 372 (32) | 245 (31) | 640 (34) | 451 (35) |
| Hispanic | 200 (27) | 135 (27) | 242 (21) | 171 (22) | 442 (23) | 306 (24) |
| Other | 20 (3) | 10 (2) | 52 (4) | 27 (3) | 72 (4) | 37 (3) |
| Missing | 32 (4) | 17 (3) | 80 (7) | 39 (5) | 112 (6) | 56 (4) |
|
| ||||||
| City | 284 (39) | 206 (41) | 477 (41) | 281 (35) | 761 (40) | 487 (38) |
| Suburb | 201 (28) | 111 (22) | 298 (25) | 230 (29) | 499 (26) | 341 (26) |
| Small town | 83 (11) | 69 (14) | 125 (11) | 97 (12) | 208 (11) | 166 (13) |
| Rural | 139 (19) | 102 (20) | 223 (19) | 157 (20) | 362 (19) | 259 (20) |
| Missing | 24 (3) | 13 (3) | 55 (5) | 29 (4) | 79 (4) | 42 (3) |
|
| ||||||
| Northeast | 152 (21) | 78 (16) | 191 (16) | 122 (15) | 343 (18) | 200 (15) |
| Midwest | 200 (27) | 155 (31) | 235 (20) | 162 (20) | 435 (23) | 317 (25) |
| South | 338 (46) | 260 (52) | 636 (54) | 453 (57) | 974 (51) | 713 (55) |
| West | 41 (6) | 8 (2) | 116 (10) | 57 (7) | 157 (8) | 65 (5) |
Source: National Center for Educational Statistics (15).
Region is based on US Census categorization (16).
Comparison of Baseline and Follow-Up Scores for Inventory Content Areas in Schools That Completed a Baseline and Follow-Up Inventory (n = 1,295), Healthy Schools Program, 2007-2010
|
| No. of Items | Baseline, Mean (SD) | Follow-up, Mean (SD) | Cohen's | Percentage That Improved |
|---|---|---|---|---|---|
| Total | 83 | 40.4 (10.6) | 47.9 (11.5) | 0.83 | 79 |
| School employee wellness | 12 | 4.1 (1.9) | 5.5 (2.2) | 0.63 | 58 |
| School meals | 17 | 11.1 (3.1) | 12.6 (2.9) | 0.60 | 56 |
| Health education | 10 | 4.3 (2.5) | 5.3 (2.4) | 0.50 | 49 |
| Competitive foods and beverages | 12 | 3.9 (2.8) | 5.1 (2.9) | 0.48 | 48 |
| Physical education | 14 | 7.2 (2.3) | 7.9 (2.0) | 0.42 | 44 |
| Physical activity outside of physical education | 6 | 2.7 (1.5) | 3.2 (1.5) | 0.49 | 41 |
| Policy and systems | 6 | 4.2 (1.4) | 4.7 (1.2) | 0.51 | 39 |
| Before and after school programs | 6 | 2.9 (1.9) | 3.6 (1.9) | 0.41 | 37 |
Abbreviation: SD, standard deviation.
Baseline and follow-up scores are sums of the desired responses.
Percentage of schools that improved on 1 or more items. All gains were significant (P < .001).