To examine children’s sugar-sweetened beverage (SSB) and water intakes in relation to implemented intervention activities across the social ecological model (SEM) during a multilevel community trial.

Children’s Healthy Living was a multilevel, multicomponent community trial that reduced young child obesity (2013–2015). Baseline and 24-month cross-sectional data were analysed from nine intervention arm communities. Implemented intervention activities targeting reduced SSB and increased water consumption were coded by SEM level (child, caregiver, organisation, community and policy). Child SSB and water intakes were assessed by caregiver-completed 2-day dietary records. Multilevel linear regression models examined associations of changes in beverage intakes with activity frequencies at each SEM level.

US-Affiliated Pacific region.

Children aged 2–8 years (baseline: n 1343; 24 months: n 1158).

On average (± sd), communities implemented 74 ± 39 SSB and 72 ± 40 water activities. More than 90 % of activities targeted both beverages together. Community-level activities (e.g. social marketing campaign) were most common (61 % of total activities), and child-level activities (e.g. sugar counting game) were least common (4 %). SSB activities across SEM levels were not associated with SSB intake changes. Additional community-level water activities were associated with increased water intake (0·62 ml/d/activity; 95 % CI: 0·09, 1·15) and water-for-SSB substitution (operationalised as SSB minus water: –0·88 ml/d/activity; 95 % CI: –1·72, –0·03). Activities implemented at the organization level (e.g. strengthening preschool wellness guidelines) and policy level (e.g. SSB tax advocacy) also suggested greater water-for-SSB substitution (P < 0·10).

Community-level intervention activities were associated with increased water intake, alone and relative to SSB intake, among young children in the Pacific region.

To investigate the association of policy, systems and environmental factors with improvement in household food security among low-income Indiana households with children after a Supplemental Nutrition Assistance Program-Education (SNAP-Ed) direct nutrition education intervention.

Household food security scores measured by the eighteen-item US Household Food Security Survey Module in a longitudinal randomized and controlled SNAP-Ed intervention study conducted from August 2013 to April 2015 were the response variable. Metrics to quantify environmental factors including classification of urban or rural county status; the number of SNAP-authorized stores, food pantries and recreational facilities; average fair market housing rental price; and natural amenity rank were collected from government websites and data sets covering the years 2012–2016 and used as covariates in mixed multiple linear regression modelling.

Thirty-seven Indiana counties, USA, 2012–2016.

SNAP-Ed eligible adults from households with children (n 328).

None of the environmental factors investigated were significantly associated with changes in household food security in this exploratory study.

SNAP-Ed improves food security regardless of urban or rural location or the environmental factors investigated. Expansion of SNAP-Ed in rural areas may support food access among the low-income population and reduce the prevalence of food insecurity in rural compared with urban areas. Further investigation into policy, systems and environmental factors of the Social Ecological Model are warranted to better understand their relationship with direct SNAP-Ed and their impact on diet-related behaviours and food security.

Applying an ecological approach to childhood obesity prevention requires a new way of thinking and working for many community-based practitioners who are used to focusing on individual behaviour change. The present study investigated individual and organizational characteristics associated with the application of an ecological approach by practitioners 6 months post-training.

Individual and organizational characteristics and outcomes of a 6-week online training course were assessed at pre-course, post-course and 6-month follow-up. The application of an ecological approach was measured by three outcomes (application of course content, implementation of an action plan and trying a different approach) and analysed using a generalized estimating equation model with a binomial distribution and logit link and linear mixed models.

An online course for participants in the USA and abroad.

Public health nutrition and youth development educators and their community partners, and other community practitioners, who completed the course and all three surveys (n 240).

One individual characteristic (networking utility) and three organizational characteristics (ecological approach within job scope, funding, course content applied to work) were positively and significantly associated with the application of an ecological approach (P<0·05). Individual characteristics that were negatively and significantly associated with the application of an ecological approach were being a registered dietitian and having ≥16 years of work experience (P<0·05).

Training of community practitioners and the scope and funding of their positions should explicitly emphasize the usefulness or utility of networking and the use of an ecological approach for preventing childhood obesity.

The Social Ecological Model (SEM) has been used to describe the aetiology of childhood obesity and to develop a framework for prevention. The current paper applies the SEM to data collected at multiple levels, representing different layers of the SEM, and examines the unique and relative contribution of each layer to children’s weight status.

Cross-sectional survey of randomly selected households with children living in low-income diverse communities.

A telephone survey conducted in 2009–2010 collected information on parental perceptions of their neighbourhoods, and household, parent and child demographic characteristics. Parents provided measured height and weight data for their children. Geocoded data were used to calculate proximity of a child’s residence to food and physical activity outlets.

Analysis based on 560 children whose parents participated in the survey and provided measured heights and weights.

Multiple logistic regression models were estimated to determine the joint contribution of elements within each layer of the SEM as well as the relative contribution of each layer. Layers of the SEM representing parental perceptions of their neighbourhoods, parent demographics and neighbourhood characteristics made the strongest contributions to predicting whether a child was overweight or obese. Layers of the SEM representing food and physical activity environments made smaller, but still significant, contributions to predicting children’s weight status.

The approach used herein supports using the SEM for predicting child weight status and uncovers some of the most promising domains and strategies for childhood obesity prevention that can be used for designing interventions.