PubMed Health⌕ Search

PubMed · 16493126

Reducing overweight through a multidisciplinary school-based intervention.

Abstract

OBJECTIVE: This study sought to evaluate the effectiveness of a multidisciplinary elementary school-based intervention entitled Wellness, Academics & You. The primary areas of impact examined were BMI, consumption of fruits and vegetables, and physical activity. RESEARCH METHODS AND PROCEDURES: The sample consisted of 1013 students in fourth and fifth grades from 69 classes in four states. Intervention and comparison classes were randomly selected at each school. Intervention teachers participated in workshops on the intervention and received program materials. BMI was calculated for baseline and post-data points based on measured height and weight collected by trained research teams. Baseline surveys were administered by the students' teacher in the presence of one of the research team members and collected. RESULTS: SPSS (SPSS, Inc., Chicago, IL) analysis of post-data shows significant positive shifts (p = 0.01) in BMI in the intervention group compared with the comparison group. Notable increases in the consumption of fruits and vegetables and increased physical activity levels were reported in the intervention group. DISCUSSION: Data from this study indicate that this school-based program may contribute to the reduction of overweight and obesity. The intervention was well received by the classroom teachers and shows promise for a school-based obesity prevention initiative. This program has shown the capacity to effect positive changes in BMI through consumption of fruits and vegetables and physical activity. The evaluation covered a limited time period and, therefore, warrants additional studies to determine whether long-term program fidelity will result in continued improvement.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Samuel A Spiegel, David Foulk. 2006. Reducing overweight through a multidisciplinary school-based intervention.. https://doi.org/10.1038/oby.2006.11

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

LongCriSP: a test for bump hunting in longitudinal data.

We propose an extension of the Harezlak and Heckman (J. Comput. Graph. Statist. 2001; 10(4): 713-729) test for detecting local extrema to the longitudinal data setting. We use penalized spline regression techniques (Statist. Sci. 1996; 11:89-102) to provide a computationally efficient method of testing for relatively large data sets. We estimate the p-values of our test, LongCriSP, with a smoothed bootstrap. Our simulation studies indicate that the test is generally conservative and has power exceeding 70 per cent at the alpha = 0.1 nominal level in most considered settings. Finally, we apply our testing procedure to the longitudinal measurements of body mass index of former prisoners of war in Vietnam and conclude that the mean population curve exhibits non-monotone behaviour.

Body Mass Index↗

An estrogen metabolism-related polymorphism of the 17-alpha HSD gene is associated with perimenopausal body mass index.

In a cross-sectional study of 2,802 perimenopausal caucasian women, carriage of at least one mutated allele of the 17-alpha-hydroxysteroid dehydrogenase type 1 (17-alpha HSD) vlV A-->C single nucleotide polymorphism (SNP) was associated with a significantly increased body mass index (mean 24.3 +/- 4.4 kg/m(2) vs. 23.5 +/- 4.2 kg/m(2); P<.001), and obesity was more frequent among mutant allele carriers (P=.06; odds ratio 1.38; 95% confidence interval 0.97-1.95), providing evidence of 17-alpha HSD as a candidate gene of perimenopausal obesity.

Body Mass Index↗