Impact of implementation factors on children's water consumption in the Out-of-School Nutrition and Physical Activity group-randomized trial

Opportunities in the Extended Day: Approaches for Promoting Physical Activity and Healthy Eating During Out-of-School Time

BACKGROUND

This systematic review aims to identify out-of-school time (OST) interventions (eg, programming, policies) that increased opportunities for physical activity (PA) and healthy eating and/or improved youth PA and dietary behaviors.

METHODS

We searched for articles within systematic reviews that met our criteria (2010-2018) and for individual articles (2010-2020). Reviewer pairs screened articles, double-extracted data, assessed risk of bias (RoB), and achieved consensus. We included 71 articles (55 studies, 60 intervention arms).

RESULTS

Health (n = 3) and nutrition education (n = 7) interventions showed promising results, but most used weak designs and had high RoB. PA-focused interventions (n = 23) were largely consistent in improving fitness and moderate to vigorous PA during programming. Programmatic interventions that improved both PA and nutrition outcomes engaged family or community members (n = 4/13). Most organizational policy interventions improved the nutrition environment and student PA during OST.

CONCLUSIONS

Organization-level policy and programmatic interventions can improve environmental supports and youth behaviors during OST programming, complementing school-day efforts to address student PA and dietary intake. To maximize their potential impact, OST programs need to be accessible to families. Administrators can consider actions to reduce participation barriers.

Assessing the effectiveness of training models for national scale-up of an evidence-based nutrition and physical activity intervention: a group randomized trial

BACKGROUND

There is a great need to identify implementation strategies to successfully scale-up public health interventions in order to achieve their intended population impact. The Out-of-school Nutrition and Physical Activity group-randomized trial previously demonstrated improvements in children's vigorous physical activity and the healthfulness of foods and beverages consumed. This implementation study aimed to assess the effects and costs of two training models to scale-up this evidence-based intervention.

METHODS

A 3-arm group-randomized trial was conducted to compare effectiveness of in-person and online training models for scaling up the intervention compared to controls. One-third of sites were randomized to the in-person train-the-trainer model: local YMCA facilitators attended a training session and then conducted three learning collaborative meetings and technical assistance. One-third were assigned to the online model, consisting of self-paced monthly learning modules, videos, quizzes, and facilitated discussion boards. Remaining sites served as controls. Fifty-three afterschool sites from three YMCA Associations in different regions of the country completed baseline and follow-up observations using a validated tool of afterschool nutrition and physical activity practices. We used multivariable regression models, accounting for clustering of observations, to assess intervention effects on an aggregate afterschool practice primary outcome, and conducted secondary analyses of nine intervention goals (e.g. serving water). Cost data were collected to determine the resources to implement each training model.

RESULTS

Changes in the primary outcome indicate that, on average, sites in the in-person arm achieved 0.44 additional goals compared to controls (95%CI 0.02, 0.86, p = 0.04). Increases in the number of additional goals achieved in sites in the online arm were not significantly greater than control sites (+ 0.28, 95% CI -0.18, 0.73, p = 0.24). Goal-specific improvements were observed for increasing water offered in the in-person arm and fruits and vegetables offered in the online arm. The cost per person trained was $678 for the in-person training model and $336 for the on-line training model.

CONCLUSIONS

This pilot trial presents promising findings on implementation strategies for scale-up. It validated the in-person training model as an effective approach. The less expensive online training may be a useful option for geographically disbursed sites where in-person training is challenging.

TRIAL REGISTRATION

Although this study does not report the results of a health care intervention on human subjects, it is a randomized trial and was therefore retrospectively registered in ClinicalTrials.gov on July 4, 2019 in accordance with the BMC guidelines to ensure the complete publication of all results (NCT04009304).

Assessing the relationship between water and nutrition knowledge and beverage consumption habits in children

OBJECTIVE

To examine the relationship between knowledge and beverage consumption habits among children.

DESIGN

Cross-sectional analysis. Linear regression was used to identify sociodemographic, dietary and behavioural determinants of beverage consumption and knowledge, and to describe the relationships between children's knowledge and water and sugar-sweetened beverage (SSB) consumption.

SETTINGS

Seventeen elementary schools in London, Ontario, Canada.

PARTICIPANTS

A total of 1049 children aged 8-14 years.

RESULTS

Knowledge scores were low overall. Children with higher knowledge scores consumed significantly fewer SSB (β = -0·33; 95 % CI -0·49, -0·18; P < 0·0001) and significantly more water (β = 0·34; 95 % CI 0·16, 0·52; P = 0·0002). More frequent refillable water bottle use, lower junk food consumption, lower fruit and vegetable consumption, female sex, higher parental education, two-parent households and not participating in a milk programme were associated with a higher water consumption. Male sex, higher junk food consumption, single-parent households, lower parental education, participating in a milk programme, less frequent refillable water bottle use and permission to leave school grounds at lunchtime were associated with a higher SSB consumption. Water was the most frequently consumed beverage; however, 79 % of respondents reported consuming an SSB at least once daily and 50 % reported consuming an SSB three or more times daily.

CONCLUSIONS

Elementary-school children have relatively low nutrition and water knowledge and consume high proportions of SSB. Higher knowledge is associated with increased water consumption and reduced SSB consumption. Interventions to increase knowledge may be effective at improving children's beverage consumption habits.

Impact of the Out-of-School Nutrition and Physical Activity (OSNAP) Group Randomized Controlled Trial on Children's Food, Beverage, and Calorie Consumption among Snacks Served

BACKGROUND

Afterschool interventions have been found to improve the nutritional quality of snacks served. However, there is limited evidence on how these interventions affect children's snacking behaviors.

OBJECTIVE

Our aim was to determine the impact of an afterschool intervention focused at the school district, site, family, and child levels on dietary consumption of foods and beverages served at snack.

DESIGN

This was a secondary analysis of a group-randomized controlled trial.

PARTICIPANTS/SETTING

Data were collected from 400 children at 20 afterschool sites in Boston, MA before (fall 2010) and after (spring 2011) intervention implementation.

INTERVENTION

The Out-of-School Nutrition and Physical Activity intervention aimed to promote fruits, vegetables, whole grains, and water, while limiting sugary drinks and trans fats. Researchers worked with district foodservice staff to change snack foods and beverages. Teams of afterschool staff participated in three 3-hour learning collaborative sessions to build skills and created action plans for changing site practices. The intervention included family and child nutrition education.

MAIN OUTCOME MEASURES

Research assistants observed dietary snack consumption using a validated measure on 2 days per site at baseline and follow-up.

STATISTICAL ANALYSES PERFORMED

This study used multivariable regression models, accounting for clustering of observations, to assess the intervention effect, and conducted post-hoc stratified analyses by foodservice type.

RESULTS

Children in intervention sites had greater decreases in consumption of juice (-0.61 oz/snack, 95% CI -1.11 to -0.12), beverage calories (-29.1 kcal/snack, 95% CI -40.2 to 18.0), foods with trans fats (-0.12 servings/snack, 95% CI -0.19 to -0.04), total calories (-47.7 kcal/snack, 95% CI -68.2 to -27.2), and increases in consumption of whole grains (0.10 servings/snack, 95% CI 0.02 to 0.18) compared to controls. In post-hoc analyses, sites with on-site foodservice had significant improvements for all outcomes (P<0.001), with no effect for sites with satellite foodservice.

CONCLUSIONS

Results demonstrate that an afterschool intervention can improve children's dietary snack consumption, particularly at sites with on-site foodservice.

A systematic review of strategies to increase drinking-water access and consumption among 0- to 5-year-olds

The objective of this study is to identify promising strategies for improving drinking-water access and consumption among children aged 0 to 5 years. MEDLINE/PubMed, Embase, ERIC, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Web of Science, and Cochrane Central Register of Controlled Trials (CENTRAL) databases were searched in this review. Studies included peer-reviewed, full-text studies from high-income countries, published in English between January 1, 2000, and January 12, 2018, that evaluated interventions to increase water access or consumption in children aged 0 to 5 years. Twenty-five studies met inclusion criteria; 19 used an effective intervention strategy to increase water access or water consumption. Three studies addressed both water access and consumption. Frequently used strategies included policy and practice changes, increasing water access and convenience, and education, training, or social support for caregivers. Studies were of fair methodological quality (average score: 18.8 of 26) for randomized studies and of moderate quality (5.1 of 9) for non-randomized studies. To date, few high-quality studies with objectively measured outcomes have clearly demonstrated strategies that may influence water intake and consumption among young children aged 0 to 5 years.

Examining differences in the implementation of school water-quality practices and water-access policies by school demographic characteristics

Ensuring safe, accessible drinking water in schools is a national health priority. The objective of this study was to identify whether there are differences in water quality, availability, and education- related practices in schools by demographic characteristics. In 2017-2018, we analyzed data from the 2014 School Health Policies and Practices Study (SHPPS), a nationally representative, cross-sectional survey of US schools. Analyses examined differences in water-related practices by school characteristics. Response rates for the 3 questionnaires used in this analysis ranged from 69%-94% (Ns ranged from 495 to 577). We found that less than half of schools flush drinking water outlets after periods of non-use (46.4%), conduct periodic inspections that test drinking water outlets for lead (45.8%), and require staff training on drinking water quality (25.6%). Most schools teach the importance of water consumption (81.1%) and offer free drinking water in the cafeteria (88.3%). Some water-related school practices differed by school demographic characteristics though no consistent patterns of associations by school characteristics emerged. In US schools, some water quality-related practices are limited, but water availability and education-related practices are more common. SHPPS data suggest many schools would benefit from support to implement best practices related to school-drinking water.

Prevalence and Types of School-Based Out-of-School Time Programs at Elementary Schools and Implications for Student Nutrition and Physical Activity

BACKGROUND

Out-of-school time (OST) programs are an important setting for supporting student health and academic achievement. This study describes the prevalence and characteristics of school-based OST programs, which can inform efforts to promote healthy behaviors in this setting.

METHODS

A nationally representative sample of public elementary schools (N = 640) completed surveys in 2013-2014. Administrators reported on OST programs and policies at their school. Multivariable logistic regression models estimated the prevalence of school-based OST programs, adjusting for school characteristics. Among schools with OST programs (N = 475), chi-square tests identified school characteristics associated with having an OST policy about physical activity or nutrition.

RESULTS

Three fourths of elementary schools (75.6%) had a full- or partial-year school-based OST program, with 30.8% having both. Full- and partial-year programs were significantly less prevalent in rural and township areas versus urban settings. Only 27.5% of schools with OST programs reported having physical activity and/or nutrition policies.

CONCLUSIONS

Most US elementary schools have an on-site OST program, but disparities in access exist, and most lack policies or awareness of existing policies regarding physical activity and nutrition. To maximize OST programs' potential benefits, strategies are needed to increase access to programs and physical activity and/or nutrition policy adoption.

Strategies for enhancing the implementation of school-based policies or practices targeting risk factors for chronic disease

BACKGROUND

A number of school-based policies or practices have been found to be effective in improving child diet and physical activity, and preventing excessive weight gain, tobacco or harmful alcohol use. Schools, however, frequently fail to implement such evidence-based interventions.

OBJECTIVES

The primary aims of the review are to examine the effectiveness of strategies aiming to improve the implementation of school-based policies, programs or practices to address child diet, physical activity, obesity, tobacco or alcohol use.Secondary objectives of the review are to: Examine the effectiveness of implementation strategies on health behaviour (e.g. fruit and vegetable consumption) and anthropometric outcomes (e.g. BMI, weight); describe the impact of such strategies on the knowledge, skills or attitudes of school staff involved in implementing health-promoting policies, programs or practices; describe the cost or cost-effectiveness of such strategies; and describe any unintended adverse effects of strategies on schools, school staff or children.

SEARCH METHODS

All electronic databases were searched on 16 July 2017 for studies published up to 31 August 2016. We searched the following electronic databases: Cochrane Library including the Cochrane Central Register of Controlled Trials (CENTRAL); MEDLINE; MEDLINE In-Process & Other Non-Indexed Citations; Embase Classic and Embase; PsycINFO; Education Resource Information Center (ERIC); Cumulative Index to Nursing and Allied Health Literature (CINAHL); Dissertations and Theses; and SCOPUS. We screened reference lists of all included trials for citations of other potentially relevant trials. We handsearched all publications between 2011 and 2016 in two specialty journals (Implementation Science and Journal of Translational Behavioral Medicine) and conducted searches of the WHO International Clinical Trials Registry Platform (ICTRP) (http://apps.who.int/trialsearch/) as well as the US National Institutes of Health registry (https://clinicaltrials.gov). We consulted with experts in the field to identify other relevant research.

SELECTION CRITERIA

'Implementation' was defined as the use of strategies to adopt and integrate evidence-based health interventions and to change practice patterns within specific settings. We included any trial (randomised or non-randomised) conducted at any scale, with a parallel control group that compared a strategy to implement policies or practices to address diet, physical activity, overweight or obesity, tobacco or alcohol use by school staff to 'no intervention', 'usual' practice or a different implementation strategy.

DATA COLLECTION AND ANALYSIS

Citation screening, data extraction and assessment of risk of bias was performed by review authors in pairs. Disagreements between review authors were resolved via consensus, or if required, by a third author. Considerable trial heterogeneity precluded meta-analysis. We narratively synthesised trial findings by describing the effect size of the primary outcome measure for policy or practice implementation (or the median of such measures where a single primary outcome was not stated).

MAIN RESULTS

We included 27 trials, 18 of which were conducted in the USA. Nineteen studies employed randomised controlled trial (RCT) designs. Fifteen trials tested strategies to implement healthy eating policies, practice or programs; six trials tested strategies targeting physical activity policies or practices; and three trials targeted tobacco policies or practices. Three trials targeted a combination of risk factors. None of the included trials sought to increase the implementation of interventions to delay initiation or reduce the consumption of alcohol. All trials examined multi-strategic implementation strategies and no two trials examined the same combinations of implementation strategies. The most common implementation strategies included educational materials, educational outreach and educational meetings. For all outcomes, the overall quality of evidence was very low and the risk of bias was high for the majority of trials for detection and performance bias.Among 13 trials reporting dichotomous implementation outcomes-the proportion of schools or school staff (e.g. classes) implementing a targeted policy or practice-the median unadjusted (improvement) effect sizes ranged from 8.5% to 66.6%. Of seven trials reporting the percentage of a practice, program or policy that had been implemented, the median unadjusted effect (improvement), relative to the control ranged from -8% to 43%. The effect, relative to control, reported in two trials assessing the impact of implementation strategies on the time per week teachers spent delivering targeted policies or practices ranged from 26.6 to 54.9 minutes per week. Among trials reporting other continuous implementation outcomes, findings were mixed. Four trials were conducted of strategies that sought to achieve implementation 'at scale', that is, across samples of at least 50 schools, of which improvements in implementation were reported in three trials.The impact of interventions on student health behaviour or weight status were mixed. Three of the eight trials with physical activity outcomes reported no significant improvements. Two trials reported reductions in tobacco use among intervention relative to control. Seven of nine trials reported no between-group differences on student overweight, obesity or adiposity. Positive improvements in child dietary intake were generally reported among trials reporting these outcomes. Three trials assessed the impact of implementation strategies on the attitudes of school staff and found mixed effects. Two trials specified in the study methods an assessment of potential unintended adverse effects, of which, they reported none. One trial reported implementation support did not significantly increase school revenue or expenses and another, conducted a formal economic evaluation, reporting the intervention to be cost-effective. Trial heterogeneity, and the lack of consistent terminology describing implementation strategies, were important limitations of the review.

AUTHORS' CONCLUSIONS

Given the very low quality of the available evidence, it is uncertain whether the strategies tested improve implementation of the targeted school-based policies or practices, student health behaviours, or the knowledge or attitudes of school staff. It is also uncertain if strategies to improve implementation are cost-effective or if they result in unintended adverse consequences. Further research is required to guide efforts to facilitate the translation of evidence into practice in this setting.

Water intake and urinary hydration biomarkers in children

BACKGROUND/OBJECTIVES

The aims of the study were as follows: (1) examine fluid intake and urinary hydration markers of children in Greece, (2) determine the calculated relative risk of hypohydration in children who did not meet the recommendations for daily water intake provided by the Institute of Medicine and the European Food Safety Authority compared with those who did and (3) analyze the efficacy of the recommendations as a method to achieve euhydration in children.

SUBJECTS/METHODS

One hundred and fifty Greek boys and girls (age 9-13) recorded their fluid intake for 2 consecutive days. A 24-h urine collection was obtained during the second day. Fluid intake records were analyzed for total water intake from fluids (TWI-F), and urine samples were analyzed for osmolality, color, specific gravity and volume. Urine osmolality ⩾800 mmol/kg H₂O was defined as hypohydration.

RESULTS

Water intake from fluids was 1729 (1555-1905) and 1550 (1406-1686) ml/d for boys and girls, respectively. Prevalence of hypohydration was 33% (44% of boys, 23% of girls). Children who failed to meet TWI-F recommendations demonstrated a risk of hypohydration that was 1.99-2.12 times higher than those who met recommendations (P⩽0.01). Boys between 9 and 13 years displayed urine osmolality of 777 (725-830) mmol/kg, and urine specific gravity of 1.021 (1.019-1.022), which was higher than those in girls between 9-13 years (P⩽0.015), and >27% were classified as hypohydrated despite meeting water intake recommendations.

CONCLUSIONS

Failure to meet TWI-F guidelines increased calculated relative risk of hypohydration in children. Boys between 9 and 13 years are at greater hazard regardless of meeting guidelines and may require greater water intake to avoid elevated urine concentration and ensure adequate hydration.