Suppr超能文献

因子分析将美国中小学营养环境的复杂测量指标在健康社区研究中整合为一致的维度。

Factor Analysis Reduces Complex Measures of Nutrition Environments in US Elementary and Middle Schools into Cohesive Dimensions in the Healthy Communities Study.

机构信息

Nutrition Policy Institute, Division of Agriculture and Natural Resources, University of California, Oakland, CA, USA.

Department of Health Promotion, Education, and Behavior, University of South Carolina, Columbia, SC, USA.

出版信息

J Nutr. 2021 May 11;151(5):1286-1293. doi: 10.1093/jn/nxaa450.

Abstract

BACKGROUND

Although it has been recommended that schools be the hub of efforts to improve child nutrition, research describing school nutrition environments in US public schools and their associations with child health is limited.

OBJECTIVE

This study aimed to evaluate the applicability of factor analysis methods to characterize school nutrition environments by identifying underlying factors, or dimensions, in the observed data and to examine the relation between school nutrition environment dimensions and child anthropometric and dietary outcomes.

METHODS

This study examined a cross-sectional sample of 4635 US children aged 4-15 y from 386 US elementary and middle schools from the Healthy Communities Study (2013-2015). Data collected from schools were used to create 34 variables that assessed the school nutrition environment. To identify dimensions of school nutrition environments, exploratory factor analysis was conducted with orthogonal rotation, and factor scores were derived using methods to account for sporadic missing data. Mixed-effects regression models adjusted for child- and community-level variables and clustered by community and school examined the associations of school nutrition environment dimensions with child anthropometric and dietary outcomes.

RESULTS

Six dimensions of school nutrition environments were derived: nutrition education, food options, wellness policies, dining environment, unhealthy food restriction, and nutrition programs. The unhealthy food restriction dimension was negatively associated with added sugar intake (β = -1.13, P < 0.0001), and the wellness policies dimension was positively associated with waist circumference (β = 0.57, P = 0.01).

CONCLUSIONS

This study demonstrates how factor analysis can reduce multiple measures of complex school nutrition environments into conceptually cohesive dimensions for purposes of assessing the relation of these dimensions to student health-related outcomes. Findings were mixed and indicate that the restriction of unhealthy foods in school is associated with lower added sugar intake. Additional, longitudinal studies are needed to substantiate the utility of this method for identifying promising school nutrition environments.

摘要

背景

尽管人们一直建议学校成为改善儿童营养工作的核心,但在美国公立学校中描述营养环境及其与儿童健康关系的研究仍然有限。

目的

本研究旨在通过识别观测数据中的潜在因素(或维度),评估因子分析方法在描述学校营养环境方面的适用性,并探讨学校营养环境维度与儿童体格和饮食结果之间的关系。

方法

本研究分析了来自美国健康社区研究(2013-2015 年)的 386 所美国小学和中学中 4635 名 4-15 岁儿童的横断面样本。从学校收集的数据用于创建 34 个变量,评估学校营养环境。通过正交旋转进行探索性因子分析,以识别学校营养环境的维度,并使用方法来处理零散的缺失数据,得出因子得分。调整儿童和社区层面变量的混合效应回归模型,并按社区和学校进行聚类,分析学校营养环境维度与儿童体格和饮食结果之间的关系。

结果

得出了学校营养环境的六个维度:营养教育、食品选择、健康政策、就餐环境、限制不健康食品和营养计划。限制不健康食品维度与添加糖摄入量呈负相关(β=-1.13,P<0.0001),健康政策维度与腰围呈正相关(β=0.57,P=0.01)。

结论

本研究展示了因子分析如何将复杂的学校营养环境的多个测量指标简化为概念上一致的维度,以评估这些维度与学生健康相关结果的关系。研究结果喜忧参半,表明限制学校内的不健康食品与较低的添加糖摄入量有关。需要进一步的纵向研究来证实这种方法识别有前途的学校营养环境的实用性。

相似文献

本文引用的文献

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验