一项旨在减少墨西哥州学童超重和肥胖的干预策略的效果。

Effects of an intervention strategy for school children aimed at reducing overweight and obesity within the State of Mexico.

作者信息

Morales-Ruán María del Carmen, Shamah-Levy Teresa, Amaya-Castellanos Claudia Isabel, Salazar-Coronel Araceli Apolonia, Jiménez-Aguilar Alejandra, Amaya-Castellanos Maritza Alejandra, Méndez-Gómez Humarán Ignacio

机构信息

Centro de Investigación en Nutrición y Salud, Instituto Nacional de Salud Pública, Cuernavaca, Morelos, México.

Centro de Investigación en Matemáticas A.C., Aguascalientes, México.

出版信息

Salud Publica Mex. 2014;56 Suppl 2:s113-22. doi: 10.21149/spm.v56s2.5175.

DOI:10.21149/spm.v56s2.5175

PMID:25629243

Abstract

OBJECTIVE

This study explored the intervention effect of the "Nutrition on the Go" strategy on the prevalence of overweight and obesity (OW+O), according to the role played by different patterns.

MATERIALS AND METHODS

Pattern Groups (PG) were determined based on schools' food availability and other variables at individual level: nutrition knowledge, physical activity, socioeconomic level and self-efficacy, using an ecological approach. The PG classification was achieved using Ward's cluster method.

RESULTS

The prevalence of OW+O was higher in PGI (intermediate food availability and high socioeconomic index [SEI]) compared to PG 2 (high availability of food and lower SEI) and PG 3 (low availability of food and medium SEI) with a lower prevalence (p<0.00I). The PG-intervention interaction showed differences for PG 3 (p=0.066), the stage-PG interaction showed differences between PGs I and 3 (p=0.014) and between PGs 2 and 3 (p=0.055).

CONCLUSIONS

Differences between PGs have important implications for the prevalence of OW+O.

摘要

目的

本研究根据不同模式所起的作用，探讨“即食营养”策略对超重和肥胖（OW+O）患病率的干预效果。

材料与方法

采用生态学方法，根据学校的食物供应情况以及个体层面的其他变量（营养知识、身体活动、社会经济水平和自我效能感）确定模式组（PG）。PG分类采用沃德聚类法。

结果

与PG2（食物供应充足且社会经济指数[SEI]较低）和PG3（食物供应不足且社会经济指数中等）相比，PGI（食物供应中等且社会经济指数较高[SEI]）的OW+O患病率更高，PG3的患病率较低（p<0.001）。PG-干预交互作用在PG3中显示出差异（p=0.066），阶段-PG交互作用在PG1和PG3之间（p=0.014）以及PG2和PG3之间（p=0.055）显示出差异。