Research Article
Influence of Teachers' Personal Health Behaviors on Operationalizing Obesity Prevention Policy in Head Start Preschools: A Project of the Children's Healthy Living Program (CHL)

https://doi.org/10.1016/j.jneb.2016.02.007Get rights and content

Abstract

Objective

To quantify the Head Start (HS) teacher mediating and moderating influence on the effect of a wellness policy intervention.

Design

Intervention trial within a larger randomized community trial.

Setting

HS preschools in Hawaii.

Participants

Twenty-three HS classrooms located within 2 previously randomized communities.

Intervention

Seven-month multi-component intervention with policy changes to food served and service style, initiatives for employee wellness, classroom activities for preschoolers promoting physical activity (PA) and healthy eating, and training and technical assistance.

Main Outcome Measures

The Environment and Policy Assessment and Observation (EPAO) classroom scores and teacher questionnaires assessing on knowledge, beliefs, priorities, and misconceptions around child nutrition and changes in personal health behaviors and status were the main outcome measures.

Analysis

Paired t tests and linear regression analysis tested the intervention effects on the classroom and mediating and moderating effects of the teacher variables on the classroom environment.

Results

General linear model test showed greater intervention effect on the EPAO score where teachers reported higher than average improvements in their own health status and behaviors (estimate [SE] = −2.47 (0.78), P < .05).

Conclusions and Implications

Strategies to improve teacher health status and behaviors included in a multi-component policy intervention aimed at child obesity prevention may produce a greater effect on classroom environments.

Introduction

Children being overweight and obese is defined as having a body mass index for age above the 85th percentile. It is a serious public health concern in the US1, 2 and increases risk for cardiovascular disease, diabetes, and cancer and for being overweight and obese as adults.3, 4, 5, 6 Prevalence of childhood obesity is especially high in Native Hawaiian and Pacific Islander children.7, 8, 9 In Hawai‘i, about 39% of children entering kindergarten are overweight or obese.9

An obesogenic environment refers to the social and built environments (eg, policies, food availability, access to physical activity [PA], norms) that encourage people to eat more calories than they expend, leading to obesity.10 The already high prevalence of unhealthy weight combined with the dynamic interactions between personal and built environmental factors contributes to the risk for developing obesity and has created a need for multilevel interventions that address various environmental factors and influences of obesity.10

The early childhood years present a sensitive time when a child's lifelong eating habits and risk for future obesity are developed.11, 12 Child care centers are good venues for obesity prevention. About half of US children under age 5 years spend a significant amount of time in these centers, where they consume two-thirds of daily nutritional needs through meals and snacks.13, 14 Many US states have made progress toward implementing child care center licensing requirements that address preventing obesity, but such requirements are not currently in place in Hawai‘i.15

Head Start (HS) is a federally funded preschool program serving low-income children aged 3–5 years.16 Head Start teachers have an influential role in ensuring compliance with nutrition policies, and thus serve as a potential leverage point for obesity prevention efforts through policy change.17, 18 Successful HS interventions have used collaborative approaches and have provided training and technical assistance for new policy implementation and facilitated employee wellness activities to support childhood obesity prevention efforts.19, 20, 21, 22, 23, 24 For example, Lanigan's23 wellness policy intervention was based on 3 principles that providers would be more likely to adopt childhood obesity prevention practices if: (1) they felt that failure to do so would be damaging to children, (2) they felt they could make a difference in children's eating habits, and (3) they were provided with training and tools to make changes. The intervention collaborated with teachers to create center goals for obesity prevention and provided education, training, and resources to implement the goals. The study found positive correlations between center staff's feeding knowledge, misconceptions, and self-efficacy and observed child care center meal time feeding practices, nutrition education, and family communication, which suggested that teachers are an influencing factor on classroom practices.23 Another employee wellness intervention, targeting improving the health status and behaviors of preschool teachers, demonstrated a positive effect on teachers' self-efficacy for communicating nutrition information to parents and on the frequency of fruits and vegetables served at centers, which suggested that interventions promoting teacher wellness can have effects that affect child health, in this case increasing the availability of fruits and vegetables in classrooms.22 Other studies demonstrated that teachers' feeding styles influence children's food consumption25 and that teachers' lack of concern about childhood obesity becomes a barrier to prevention efforts.18 These influences and findings regarding the effects of employee wellness on classroom availability of fruits and vegetables suggest that teacher-level characteristics could explain some level of intervention effectiveness or ineffectivness in these studies. It is plausible that teachers, who are making improvements to their own personal health habits, including physical activity and eating, may place a greater emphasis on PA and healthy eating in their classrooms.

Mediation and moderation analysis offers a means to improve understanding of intervention and program outcomes.26 A mediating variable is 1 that accounts for the significant relationship observed between an independent and dependent variable, providing a potential explanation for the results seen.27 For example, an intervention successful at improving child behaviors, such as the level of PA, as the result of a policy intervention may be explained by an intervention effect on social or psychosocial variables, such as improved attitudes of intervention implementers regarding PA. On the other hand, a moderating variable affects the direction and/or strength of the relationship between an independent and dependent variable. This third variable represents an interaction effect between those variables and provides information about conditions in which an intervention can achieve the desired results.27 A moderation analysis may determine that a PA intervention was successful at improving the PA levels of females but not males, thus identifying gender as a moderating variable. Childhood obesity prevention interventions have yielded varying levels of effect on child and environmental outcomes but often lack mediation and moderation analysis, resulting in imprecise implications for future practice.18, 19, 20, 21, 22, 23, 24, 25 Baranowski and Russell26 provided a model for intervention evaluation that was specifically designed to enhance understanding of how interventions yield desired outcomes. Implementation of this analysis can provide more information about the mechanisms of intervention effects, thus improving the precision of recommendations for practice.

This study's primary objective was to build evidence about the influence of HS teachers on the effect of child care center wellness policies on the nutrition and PA environment of HS classrooms in Hawai‘i. Specifically, the focus was on HS teachers’ health status, eating and PA behaviors, and efficacy, misconceptions, and knowledge related to child nutrition and priority placed on childhood obesity prevention. Figure 1 depicts the framework for this study based on the social ecologic model,10 specifically the relationship among the wellness policy intervention, the teacher level mediating and moderating variables, the classroom environment, and child level outcomes related to obesity. The researchers hypothesized that the intervention effect on the HS PA and nutrition environment would be explained (mediated) in part by teachers' prioritization of child nutrition and beliefs that were consistent with evidenced-based practices for childhood obesity prevention, as measured by the Child Care Provider Healthy Eating and Activity survey (CCPHEA).23 Improvements in teachers' scores, such as teacher priority, could explain why the intervention was effective in improving the classroom PA environment. Greater priority placed on childhood obesity, prevention, and healthy eating by teachers as a result of the intervention could explain why the policy intervention that included activities that promoted classroom PA were more effective in improving the classroom environment. The researchers also hypothesized that teachers' own personal health behaviors, PA and healthy eating, and health status would influence (moderate) the intervention effect on the classroom environment.

Section snippets

Setting

This research was embedded within the randomized community trial, the Children's Healthy Living Program for Remote Underserved Minority Populations in the Pacific Region.28 A total of 23 HS classrooms located in 2 communities on O‘ahu joined the study, including 11 HS classrooms in the intervention group and 12 in the delayed-intervention group. After teachers completed informed consent, children from the 23 HS classrooms were recruited to participate at HS orientation meetings and in their

Results

The teacher sample included 46 teachers from 23 HS classrooms, 2 teachers per HS classroom. The EPAOs were completed at baseline and at 7-month follow-up for all 23 classrooms. The CCPHEA surveys were completed by 1 or both HS teachers in each classroom at baseline and follow-up. In cases where both teachers completed CCPHEA surveys, the mean score of the 2 teachers was used for analysis.

No baseline significant difference was observed between intervention HS classes and delayed intervention HS

Discussion

The findings of this study suggest positive effects of a policy intervention on the HS PA environment. More important, they demonstrate the significant impact that HS teachers' personal health behaviors have, as well as the priority they place on child nutrition, on the success of a classroom-based intervention. However, the policy intervention, which included changes to meal service style and types of foods and beverages served, did not have a significant impact on the HS nutrition environment.

Implications for Research and Practice

The findings from this study demonstrate the effects of a policy intervention for childhood obesity prevention on classroom-level outcomes, including the influence that teacher-level variables have on the intervention effect, the first of its kind in Hawai‘i. This study supports the hypothesis that HS teachers serve as a leverage point for creating environments that promote PA and possibly a gatekeeper for childhood obesity prevention in preschool settings. Future research and intervention

Acknowledgments

This project is supported by the Agriculture and Food Research Initiative, Grant No. 2011-68001-30335 from the US Department of Agriculture National Institute of Food and Agricultural Science Enhancement Coordinated Agricultural Program, the staff of the Children's Healthy Living Program, Honolulu Community Action Program Head Start Program.

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    Conflict of Interest Disclosures: The authors’ conflict of interest disclosures can be found online with this article on www.jneb.org.

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