Universal childhood obesity prevention in a rural community: Study design, methods and baseline participant characteristics of the NU-HOME randomized controlled trial

Food Insecurity and Changes in Diet Quality and Body Mass Index z-Scores Among Elementary School Students

Background: Previous research has identified food insecurity as a risk factor for obesity but those studies employed cross-sectional designs and were largely focused on adults and young children. In addition, there is a paucity of studies examining the association between food insecurity and changes in children's overall diet quality. This study aimed to assess whether food insecurity is associated with subsequent changes in diet quality and BMI z-scores over 2 years among 7- to 12-year-old children. Methods: We used 2011-2019 secondary data (n = 404) from three randomized controlled trials in Minnesota. Food insecurity was identified using the U.S. Household Food Security Survey Module at baseline (Time 0). Diet quality was determined using the Healthy Eating Index (HEI)-2015 from 24-hour recalls, and BMI z-scores were calculated using measured height and weight. These two outcomes were measured at Time 0, Time 1 (10-12 months from Time 0), and Time 2 (15-24 months from Time 0). Results: Compared with children from food-secure households, those from food-insecure households experienced a 0.13 greater increase in BMI z-scores from Time 0 to Time 2 [95% confidence interval (CI): 0.04 to 0.21] and a 4.5 point increase in HEI-2015 from Time 0 to Time 1 (95% CI: 0.99 to 8.01). Conclusion: Household food insecurity may widen weight disparities among elementary school-aged children. Further studies are needed to identify the role of diet quality in weight changes among children with food insecurity. Clinical Trial Registration Number: NCT01538615, NCT02029976, NCT02973815.

Interventions to prevent obesity in children aged 5 to 11 years old

BACKGROUND

Prevention of obesity in children is an international public health priority given the prevalence of the condition (and its significant impact on health, development and well-being). Interventions that aim to prevent obesity involve behavioural change strategies that promote healthy eating or 'activity' levels (physical activity, sedentary behaviour and/or sleep) or both, and work by reducing energy intake and/or increasing energy expenditure, respectively. There is uncertainty over which approaches are more effective and numerous new studies have been published over the last five years, since the previous version of this Cochrane review.

OBJECTIVES

To assess the effects of interventions that aim to prevent obesity in children by modifying dietary intake or 'activity' levels, or a combination of both, on changes in BMI, zBMI score and serious adverse events.

SEARCH METHODS

We used standard, extensive Cochrane search methods. The latest search date was February 2023.

SELECTION CRITERIA

Randomised controlled trials in children (mean age 5 years and above but less than 12 years), comparing diet or 'activity' interventions (or both) to prevent obesity with no intervention, usual care, or with another eligible intervention, in any setting. Studies had to measure outcomes at a minimum of 12 weeks post baseline. We excluded interventions designed primarily to improve sporting performance.

DATA COLLECTION AND ANALYSIS

We used standard Cochrane methods. Our outcomes were body mass index (BMI), zBMI score and serious adverse events, assessed at short- (12 weeks to < 9 months from baseline), medium- (9 months to < 15 months) and long-term (≥ 15 months) follow-up. We used GRADE to assess the certainty of the evidence for each outcome.

MAIN RESULTS

This review includes 172 studies (189,707 participants); 149 studies (160,267 participants) were included in meta-analyses. One hundred forty-six studies were based in high-income countries. The main setting for intervention delivery was schools (111 studies), followed by the community (15 studies), the home (eight studies) and a clinical setting (seven studies); one intervention was conducted by telehealth and 31 studies were conducted in more than one setting. Eighty-six interventions were implemented for less than nine months; the shortest was conducted over one visit and the longest over four years. Non-industry funding was declared by 132 studies; 24 studies were funded in part or wholly by industry. Dietary interventions versus control Dietary interventions, compared with control, may have little to no effect on BMI at short-term follow-up (mean difference (MD) 0, 95% confidence interval (CI) -0.10 to 0.10; 5 studies, 2107 participants; low-certainty evidence) and at medium-term follow-up (MD -0.01, 95% CI -0.15 to 0.12; 9 studies, 6815 participants; low-certainty evidence) or zBMI at long-term follow-up (MD -0.05, 95% CI -0.10 to 0.01; 7 studies, 5285 participants; low-certainty evidence). Dietary interventions, compared with control, probably have little to no effect on BMI at long-term follow-up (MD -0.17, 95% CI -0.48 to 0.13; 2 studies, 945 participants; moderate-certainty evidence) and zBMI at short- or medium-term follow-up (MD -0.06, 95% CI -0.13 to 0.01; 8 studies, 3695 participants; MD -0.04, 95% CI -0.10 to 0.02; 9 studies, 7048 participants; moderate-certainty evidence). Five studies (1913 participants; very low-certainty evidence) reported data on serious adverse events: one reported serious adverse events (e.g. allergy, behavioural problems and abdominal discomfort) that may have occurred as a result of the intervention; four reported no effect. Activity interventions versus control Activity interventions, compared with control, may have little to no effect on BMI and zBMI at short-term or long-term follow-up (BMI short-term: MD -0.02, 95% CI -0.17 to 0.13; 14 studies, 4069 participants; zBMI short-term: MD -0.02, 95% CI -0.07 to 0.02; 6 studies, 3580 participants; low-certainty evidence; BMI long-term: MD -0.07, 95% CI -0.24 to 0.10; 8 studies, 8302 participants; zBMI long-term: MD -0.02, 95% CI -0.09 to 0.04; 6 studies, 6940 participants; low-certainty evidence). Activity interventions likely result in a slight reduction of BMI and zBMI at medium-term follow-up (BMI: MD -0.11, 95% CI -0.18 to -0.05; 16 studies, 21,286 participants; zBMI: MD -0.05, 95% CI -0.09 to -0.02; 13 studies, 20,600 participants; moderate-certainty evidence). Eleven studies (21,278 participants; low-certainty evidence) reported data on serious adverse events; one study reported two minor ankle sprains and one study reported the incident rate of adverse events (e.g. musculoskeletal injuries) that may have occurred as a result of the intervention; nine studies reported no effect. Dietary and activity interventions versus control Dietary and activity interventions, compared with control, may result in a slight reduction in BMI and zBMI at short-term follow-up (BMI: MD -0.11, 95% CI -0.21 to -0.01; 27 studies, 16,066 participants; zBMI: MD -0.03, 95% CI -0.06 to 0.00; 26 studies, 12,784 participants; low-certainty evidence) and likely result in a reduction of BMI and zBMI at medium-term follow-up (BMI: MD -0.11, 95% CI -0.21 to 0.00; 21 studies, 17,547 participants; zBMI: MD -0.05, 95% CI -0.07 to -0.02; 24 studies, 20,998 participants; moderate-certainty evidence). Dietary and activity interventions compared with control may result in little to no difference in BMI and zBMI at long-term follow-up (BMI: MD 0.03, 95% CI -0.11 to 0.16; 16 studies, 22,098 participants; zBMI: MD -0.02, 95% CI -0.06 to 0.01; 22 studies, 23,594 participants; low-certainty evidence). Nineteen studies (27,882 participants; low-certainty evidence) reported data on serious adverse events: four studies reported occurrence of serious adverse events (e.g. injuries, low levels of extreme dieting behaviour); 15 studies reported no effect. Heterogeneity was apparent in the results for all outcomes at the three follow-up times, which could not be explained by the main setting of the interventions (school, home, school and home, other), country income status (high-income versus non-high-income), participants' socioeconomic status (low versus mixed) and duration of the intervention. Most studies excluded children with a mental or physical disability.

AUTHORS' CONCLUSIONS

The body of evidence in this review demonstrates that a range of school-based 'activity' interventions, alone or in combination with dietary interventions, may have a modest beneficial effect on obesity in childhood at short- and medium-term, but not at long-term follow-up. Dietary interventions alone may result in little to no difference. Limited evidence of low quality was identified on the effect of dietary and/or activity interventions on severe adverse events and health inequalities; exploratory analyses of these data suggest no meaningful impact. We identified a dearth of evidence for home and community-based settings (e.g. delivered through local youth groups), for children living with disabilities and indicators of health inequities.

An exploration of extreme obesity and weight loss management for adults in rural, remote, and regional areas: a systematic review

BACKGROUND

Extreme obesity is a global health issue impacting health and related health outcomes. Although extreme obesity is prevalent across all geographical settings, the condition is more common in geographically isolated locations. The success of mainstream weight loss strategies such as surgery, exercise, and dietary information within these communities remains unknown, and it is unclear if isolation facilitates or hinders treatment for weight management.

AIM

This review aimed to identify common themes around weight loss and health and social impacts for extremely obese adults living in rural, remote, and regional locations.

METHODS

A systematic literature review of peer-reviewed publications from May 2013 to May 2023 was undertaken and appraised using the Mixed Method Appraisal Tool (MMAT). Sequential synthesis was thematically analysed and described within a narrative account. Earlier dates were not included as initial research indicated a global surge in obesity within the early 2010s (Wang, Y., Beydoun, M. A., Min, J., Xue, H., Kaminsky, L. A., & Cheskin, L. J. (2020). Has the prevalence of overweight, obesity and central obesity levelled off in the United States? Trends, patterns, disparities, and future projections for the obesity epidemic. International Journal of Epidemiology, 49(3), 810-823) and a surge in bariatric treatments for the management of extreme obesity was noted around the same time (Mocanu, V., Dang, J. T., Sun, W., Birch, D. W., Karmali, S., & Switzer, N. J. (2020). An evaluation of the modern North American bariatric surgery landscape: current trends and predictors of procedure selection. Obesity Surgery, 30, 3064-3072).

RESULTS

This review identified 13 studies that reported negative trends in extreme obesity for isolated locations linked to gender, culture, and poor mental health. Individualised and community models of weight loss support can be positive for certain demographic groups, specifically females, through the promotion of cost-effective, and locally available traditional food choices.

CONCLUSION

Living with extreme obesity within geographically isolated locations and losing weight is challenging for women, Indigenous peoples, and people with low literacy and those from lower socio-economic backgrounds. Generalised advice about weight loss is often unsuccessful; however, weight loss is achievable with consumer engagement which considers the influence and impact of rurality. Further research focusing on individualised nursing models for managing morbid obesity within isolated locations is required.

Parent meal self-efficacy and practices in households with healthy home food environments in the face of economic hardship

Some families who experience economic hardship demonstrate remarkable strength and resourcefulness to sustain a healthy home food environment. This ability to navigate economic barriers could be associated with parent meal practices that promote children's healthful dietary intake. Therefore, this study aimed to examine 1) whether parent meal self-efficacy and practices were associated with economic assistance status and home fruit and vegetable (FV) availability and 2) how parent meal self-efficacy and practices differed by home FV availability and economic assistance status. Analyses utilized baseline data from 274 parent/child dyads from two childhood obesity prevention trials: HOME Plus (urban) and NU-HOME (rural). Parents in households with high FV availability (regardless of economic assistance) had significantly higher self-efficacy in preparing healthy foods, family dinner routines, frequency of child's plate being half filled with FV, frequency of family dinner and breakfast, and lower frequency of purchasing dinner from fast food restaurants. Economic assistance was not associated with parent meal self-efficacy and practices. Four family groups were created and defined by economic assistance (yes/no) and home FV availability (high/low). About 31% of families that received economic assistance and had high home FV availability were food insecure. Families (n = 39) receiving economic assistance and having high home FV availability had greater frequency of family dinners compared to those in households with economic assistance and low home FV availability (n = 47) (p = 0.001); no other parent meal self-efficacy or practices differed between groups. Our findings suggest some families can maintain healthy home food environments despite economic hardship and frequent family dinners may be an important strength for these families. More research is needed to investigate asset-based models to understand the family strengths that enable them to thrive during difficult times.

Parent Weight, Diet, Active Living, and Food-Related Outcomes of the Family-Focused:NU-HOME Randomized Controlled Trial: NU-HOME Randomized Controlled Trial

BACKGROUND

Little is known about parent outcomes of rural, family-focused childhood obesity prevention trials.

OBJECTIVE

Our aim was to evaluate parent outcomes of the rural, family-focused NU-HOME (New Ulm at HOME [Healthy Offerings via the Mealtime Environment]) randomized controlled trial designed to prevent obesity in children aged 7 through 10 years.

DESIGN

Families were randomized to the intervention or wait-list control group after baseline data collection. Staff measured parent height, weight, and percent body fat. Surveys measured parent cognitive and behavioral outcomes (eg, portion-size confidence, dietary intake, total and moderate-to-vigorous physical activity, and screen time). Post-intervention data were collected 8 to 10 months after baseline.

PARTICIPANTS/SETTING

The randomized controlled trial took place in rural, south central Minnesota, and enrolled parent and child dyads (N = 114; 2017-2018); 98 parents provided data at post intervention (2018-2019) and comprise the analytic sample. Parent inclusion criteria were being the primary meal preparer, living with the child most of the time, and being willing to attend intervention sessions. Exclusion criteria were planning to move or having a medical condition that would contraindicate participation.

INTERVENTION

The theory-guided intervention (7 sessions and 4 goal-setting calls) focused on family eating and active living behaviors.

MAIN OUTCOME MEASURES

Height, weight, and percent body fat were measured and the survey assessed diet, active living, and food-related outcomes.

STATISTICAL ANALYSES PERFORMED

Multiple linear regression models tested change in parent outcomes from baseline to post intervention by treatment group adjusted for demographic characteristics and baseline values.

RESULTS

In the intervention group vs control group, parent total weekly hours of physical activity was 1.73 hours higher (95% CI 0.11 to 3.35 hours) and portion-size confidence was 1.49 points higher (95% CI 0.78 to 2.19). No other statistically significant changes were observed by treatment group.

CONCLUSIONS

Findings indicate that parent cognitive and behavioral outcomes are amenable to change in family-focused childhood obesity prevention programs. Parent increases in portion-size confidence and total physical activity hours may support long-term parent health and provide positive context for child health.

Food Insecurity and Parent Feeding Practices in Urban and Rural Children Ages 7-12 years

Objective

To examine associations between food insecurity and parent feeding practices for children ages 7-12 years; to determine differences between cohorts in urban and rural communities.

Design

Secondary analysis using baseline data from 2 randomized controlled trials: HOME Plus (urban) and NU-HOME (rural).

Participants

Convenience sample of 264 parent-child dyads. Children were 51.5% female, 9.28 ± 1.45 years.

Variables Measured

Dependent variables included the Child Feeding Questionnaire (CFQ) restrictive feeding subscale, parent modeling of fruits and vegetables score, and family meal frequency (FMF) at breakfast and the evening meal. Food insecurity was the primary independent variable.

Analysis

Multivariable linear or Poisson regression for each outcome.

Results

Food insecurity was associated with a 26% lower weekly rate of FMF at breakfast (95% CI 6%-42%; p=0.02). In stratified analysis, this association was only in the rural NU-HOME study (44% lower weekly rate; 95% CI 19%-63%; p=0.003). Food insecurity was not associated with CFQ restrictive score, parent modeling score, or FMF at the evening meal.

Conclusions and Implications

Food insecurity was associated with less frequent family breakfast, but not with other parent feeding practices. Future studies could investigate supportive mechanisms for positive feeding practices in households experiencing food insecurity.

A novel method to map community- and neighborhood-level access to rural physical activity built environments in the United States

Physical activity (PA) built environments may support PA among rural youth and families. In the United States (U.S.), differences between rural and urban PA built environments are assessed using coarse scale, county-level methods. However, this method insufficiently examines environmental differences within rural counties. The present study uses rural-specific geospatial mapping techniques and a fine scale, within-rural grouping strategy to identify differing levels of access to the PA built environment among a rural sample. First, PA infrastructure variables (parks, sidewalks) within a rural region of the Midwest U.S. were mapped. Then, households (N = 112) of participants in the NU-HOME study, a childhood obesity prevention trial, were categorized to community-level and neighborhood-level PA built environment groups using two access indicators; Rural-Urban Commuting Area (RUCA) codes and Walk Scores®, respectively. Finally, households were categorized to new groups that combined community-level RUCA codes and neighborhood-level Walk Scores® to indicate the diverse ways in which rural families might access PA built environments, including by vehicle travel and pedestrian commuting. Household access to PA infrastructure (per geospatial proximity and density analyses), parent perceptions of the PA environment, and child PA were examined across the new combined access groups. All measures of household access to PA infrastructure significantly differed by group (p <.0001). Several parent PA perceptions differed by group; child PA did not. The present study provides future researchers with innovative strategies to map and examine how access to the PA built environment differs within a rural area. Due to the public availability of the access indicators used (RUCA codes, Walk Scores®), study methods can be replicated.

Associations of parent dietary role modeling with children's diet quality in a rural setting: Baseline data from the NU-HOME study

These analyses examined associations of parent dietary role modeling with diet quality among school-age children in a rural community. Past research has found protective associations between parent role modeling and children's dietary intake; however, there is a gap in understanding these associations for families in rural communities. Baseline data (2017 -2018) were drawn from the New Ulm at Home (NU-HOME) randomized controlled trial, conducted in the United States. The trial recruited 114 children (7-10 years old) and parents. Parents self-reported dietary intake [fruit and vegetable (FV), sugar-sweetened beverage (SSB), fast food (FF)] and frequency of sitting and eating with their child. Children reported parent role modeling of healthful eating (FV and salad at the evening meal; FV as snacks). Two 24-h dietary recalls assessed child diet quality indicators [Healthy Eating Index-2015 (HEI-2015) total scores, FV intake, SSB intake]. General linear models (GLM) and logistic regression analyzed associations of child diet quality (HEI score, FV intake, SSB intake) with parent dietary intake, parent sitting and eating the evening meal with their child, and child perceptions of parent role modeling healthful eating, adjusted for highest level of education in the home. Higher child HEI-2015 scores were positively associated with more frequent parent role modeling of fruit intake at meals, and inversely associated with more frequent parent role modeling of fruit as a snack; no significant associations of child FV intake with parent role modeling were observed. Higher child SSB intake was positively associated with parent FF intake. In this rural community, parents play significant roles in shaping children's dietary quality and intake, though more work needs to be done to address optimal intervention strategies to promote parent role modeling of healthful eating.

Weight outcomes of NU-HOME: a randomized controlled trial to prevent obesity among rural children

BACKGROUND

Rural children are at greater obesity risk than their urban peers. The NU-HOME study is an innovative collaborative effort to prevent childhood obesity in rural communities. Weight outcomes of the NU-HOME study, a family-meal focused randomized controlled trial (RCT) are described. We hypothesized that compared to control group children, intervention group children would have significantly lower weight-related post-intervention (PI) outcomes.

METHODS

Participants were 114 dyads (7-10 year-old rural children and a parent). In 2017-2018 and 2018-2019, research staff measured height, weight and body fat at baseline (BL) and PI. Families were randomized to intervention (n = 58) or control (n = 56) groups without blinding. Designed with Social Cognitive Theory and community engagement, the NU-HOME program included seven monthly sessions delivered in community settings and four goal-setting calls. The program engaged entire families to improve healthy eating, physical activity, family meals and the home food environment. Multiple linear and logistic regression models tested PI outcomes of child BMIz-score, percent body fat, percent over 50th percentile BMI, and overweight/obesity status by treatment group, adjusted for BL values and demographics (n = 102).

RESULTS

No statistically significant intervention effects were seen for child BMIz or overweight/obesity status. However, a promising reduction in boys' percent body fat (- 2.1, 95% CI [- 4.84, 0.63]) was associated with the intervention.

CONCLUSIONS

Although our findings were in the hypothesized direction, making significant impacts on weight-related outcomes remains challenging in community trials. Comprehensive family-focused programming may require intensive multi-pronged interventions to mitigate complex factors associated with excess weight gain.

CLINICAL TRIAL REGISTRATION

This study is registered with NIH ClinicalTrials.gov: NCT02973815 .

Are patterns of family evening meal practices associated with child and parent diet quality and weight-related outcomes?

Family meal practices such as family member presence, fast food consumption and media usage have been associated with health outcomes. However, little is known about combinations of family meal practices and their effects on diet and health. This secondary data analysis aimed to identify patterns of family evening meal practices and examine their associations with family characteristics (e.g., demographics and chaos) and child and parent diet quality and weight-related outcomes. We used baseline data from a community-based randomized controlled trial with 7- to 10-year-old children and their parents in rural Minnesota (n = 114). Parent-reported structural (e.g. media usage) and interpersonal (e.g. mealtime routines) aspects of family evening meal practices were included in latent profile analyses to identify patterns. Diet quality was assessed by child Healthy Eating Index-2015 and parent fruit and vegetable intake. Weight-related outcomes were determined using measured body mass index (z-scores) and percent body fat. A 3-class model was the model of best-fit. The Unplanned Infrequent Family Evening Meals with Mixed Healthfulness class (C1) featured the least frequent family evening meals and the lowest scores for mealtime routines and planning skills. The Family Evening Meals with Fast Food class (C2) characterized having family evening meals four times a week, but fast food was often served. The Planful, Healthful and Frequent Family Evening Meals class (C3) reported the highest meal routine and planning scores as well as frequent family evening meals. Parents in C3 had higher consumption of fruits and vegetables and children in C3 had lower percent body fat, compared to those in other classes. Distinctly different patterns of family evening meal practices suggest a need for considering heterogeneity of family evening meal practices in developing tailored family-meal interventions.

Family Characteristics Associated with Preparing and Eating More Family Evening Meals at Home

BACKGROUND

Research has demonstrated dietary quality benefits of family meals and meals prepared at home. Less is known about associations between the proportion of family evening meals made at home and key personal, behavioral, and environmental characteristics. Moreover, most studies often measure these data retrospectively.

OBJECTIVE

The objective of this study is to describe the proportion of evening meals made at home measured in real time and to assess associations between personal, behavioral, and environmental characteristics that are associated with a higher proportion of evening meals prepared and consumed at home.

DESIGN

This study is a cross-sectional secondary analysis of baseline data collected during 2017 and 2018 from the New Ulm at Home study, a randomized controlled trial conducted in rural Minnesota to evaluate the effectiveness of a childhood obesity prevention program for school-aged children.

PARTICIPANTS/SETTING

The present study analyzes a subset of the New Ulm at Home trial data from families (N = 108) who completed at least four evening meal screeners collected in real time with ecological momentary assessment technology over a 2-week period.

MAIN OUTCOME MEASURE

The main outcome measure was the proportion of family evening meals made at home, calculated using two cutpoints (≤50% of evening meals prepared at home vs >50%; ≤70% vs >70%).

STATISTICAL ANALYSIS

Descriptive statistics were used to describe the proportion of evening meals prepared at home. Logistic regression analyses adjusted for parent education were used to assess associations between family characteristics and the two different proportions of meals made at home.

RESULTS

Most family evening meals were prepared and eaten at home (62%). Logistic regression models indicated meal planning skills (odds ratio=1.19, 95% CI 1.01 to 1.39) and mealtime routines (odds ratio=1.20, 95% CI 1.03 to 1.40) were significantly associated with odds of preparing more than 50% of evening meals at home. Only meal planning skills (odds ratio=1.27, 95% CI 1.06 to 1.51) was significantly associated with odds of preparing more than 70% of evening meals at home.

CONCLUSIONS

Study findings indicated mealtime routines and meal planning skills were associated with preparing more than 50% of evening meals at home, but only meal planning skills were associated with preparing more than 70% of evening meals at home, which may suggest the importance of adapting interventions for families. Future research should build on these findings in randomized controlled trials.

Differences by School Location in Summer and School Monthly Weight Change: Findings from a Nationally Representative Sample

OBJECTIVES

To examine changes in accelerations of Body Mass Index (BMI), age-and-sex specific body mass index (zBMI), and 95th percentile of BMI (%BMIp95) during the summer months and school year by school location designation (i.e., urban, suburban, exurban). This study utilized the Early Childhood Longitudinal Study Kindergarten Class of 2010-2011.

METHODS

Of the 18,174 children in the ECLS-K:2011 dataset, I restricted participants to those with at least two consecutive measures that occurred August/September or April/May. Mixed-effect regression analyses estimated differences in monthly change in BMI, zBMI, and %BMIp95 between the summer and school year while accounting for the ECLS-K complex sampling design. Models also examined differences in the magnitude of BMI, zBMI, and %BMIp95 change between the summer and school year by school location. Post-hoc Benjamini-Hochberg (BH) procedure set at 10% false discovery was incorporated to account for multiple comparisons.

RESULTS

A total of 1549 children (48% female, 42% White) had at least two consecutive measures that occurred in August/September or April/May. Among all locale classifications (i.e., urban, suburban, and exurban), children from high-income households comprised the largest proportions for each group (31%, 39%, and 37%), respectively. Among urban and suburban locations, Hispanic children comprised the largest proportions for both groups (43% and 44%), respectively. Among exurban locale classifications, White children comprised the largest proportion of children (60%). Children from suburban and exurban schools experienced significantly less accelerations in monthly zBMI gain when compared to their urban counterparts -0.038 (95CI = -0.071, -0.004) and -0.045 (95CI = -0.083, -0.007), respectively. Children from exurban schools experienced significantly less acceleration in monthly %BMIp95 during the summer months when compared to the school year -0.004 (95CI = -0.007, 0.000).

CONCLUSIONS

This is one of the first studies to examine summer weight gain by school location. Summer appears to impact children more negatively from urban schools when compared to their suburban and exurban counterparts.

Family-focused obesity prevention program implementation in urban versus rural communities: a case study

Purpose

Despite public health efforts to reduce childhood obesity, there remains an unequal distribution of obesity among rural and urban children, with higher rates in rural areas. However, few studies have compared differences in program delivery. This paper aims to describe differences between an urban and rural program delivery of a family-focused, community-based intervention program to prevent and reduce obesity among children.

Methods

This paper uses a case study format to provide a descriptive analysis of similar obesity prevention programs, designed by the same research team, implemented in Minnesota in different settings (i.e., an urban and rural setting) with significant community engagement in the adaptation process. The rural NU-HOME program is compared to HOME-Plus, an urban family-based obesity prevention program for school-aged children.

Results

Community engagement in the adaptation process of an urban program to a rural program confirmed some anticipated program content and delivery similarities while identifying key differences that were necessary for adaptation related to engagement with the community, recruitment and data collection, and intervention delivery.

Discussion

When adapting research-tested programs from urban to rural areas, it is important to identify the modifiable behavioral, social, and environmental factors associated with obesity to ensure the content of effective childhood obesity prevention programs is relevant. Customizing a program to meet the needs of the community may increase reach, engagement, and sustainability. In addition, long-term dissemination of a tailored program may significantly reduce childhood obesity in rural communities and be implemented in other rural settings nationally.

Effects of consumers and health providers working in partnership on health services planning, delivery and evaluation

BACKGROUND

Health services have traditionally been developed to focus on specific diseases or medical specialties. Involving consumers as partners in planning, delivering and evaluating health services may lead to services that are person-centred and so better able to meet the needs of and provide care for individuals. Globally, governments recommend consumer involvement in healthcare decision-making at the systems level, as a strategy for promoting person-centred health services. However, the effects of this 'working in partnership' approach to healthcare decision-making are unclear. Working in partnership is defined here as collaborative relationships between at least one consumer and health provider, meeting jointly and regularly in formal group formats, to equally contribute to and collaborate on health service-related decision-making in real time. In this review, the terms 'consumer' and 'health provider' refer to partnership participants, and 'health service user' and 'health service provider' refer to trial participants. This review of effects of partnership interventions was undertaken concurrently with a Cochrane Qualitative Evidence Synthesis (QES) entitled Consumers and health providers working in partnership for the promotion of person-centred health services: a co-produced qualitative evidence synthesis.

OBJECTIVES

To assess the effects of consumers and health providers working in partnership, as an intervention to promote person-centred health services.

SEARCH METHODS

We searched the CENTRAL, MEDLINE, Embase, PsycINFO and CINAHL databases from 2000 to April 2019; PROQUEST Dissertations and Theses Global from 2016 to April 2019; and grey literature and online trial registries from 2000 until September 2019.

SELECTION CRITERIA

We included randomised controlled trials (RCTs), quasi-RCTs, and cluster-RCTs of 'working in partnership' interventions meeting these three criteria: both consumer and provider participants meet; they meet jointly and regularly in formal group formats; and they make actual decisions that relate to the person-centredness of health service(s).

DATA COLLECTION AND ANALYSIS

Two review authors independently screened most titles and abstracts. One review author screened a subset of titles and abstracts (i.e. those identified through clinical trials registries searches, those classified by the Cochrane RCT Classifier as unlikely to be an RCT, and those identified through other sources). Two review authors independently screened all full texts of potentially eligible articles for inclusion. In case of disagreement, they consulted a third review author to reach consensus. One review author extracted data and assessed risk of bias for all included studies and a second review author independently cross-checked all data and assessments. Any discrepancies were resolved by discussion, or by consulting a third review author to reach consensus. Meta-analysis was not possible due to the small number of included trials and their heterogeneity; we synthesised results descriptively by comparison and outcome. We reported the following outcomes in GRADE 'Summary of findings' tables: health service alterations; the degree to which changed service reflects health service user priorities; health service users' ratings of health service performance; health service users' health service utilisation patterns; resources associated with the decision-making process; resources associated with implementing decisions; and adverse events.

MAIN RESULTS

We included five trials (one RCT and four cluster-RCTs), with 16,257 health service users and more than 469 health service providers as trial participants. For two trials, the aims of the partnerships were to directly improve the person-centredness of health services (via health service planning, and discharge co-ordination). In the remaining trials, the aims were indirect (training first-year medical doctors on patient safety) or broader in focus (which could include person-centredness of health services that targeted the public/community, households or health service delivery to improve maternal and neonatal mortality). Three trials were conducted in high income-countries, one was in a middle-income country and one was in a low-income country. Two studies evaluated working in partnership interventions, compared to usual practice without partnership (Comparison 1); and three studies evaluated working in partnership as part of a multi-component intervention, compared to the same intervention without partnership (Comparison 2). No studies evaluated one form of working in partnership compared to another (Comparison 3). The effects of consumers and health providers working in partnership compared to usual practice without partnership are uncertain: only one of the two studies that assessed this comparison measured health service alteration outcomes, and data were not usable, as only intervention group data were reported. Additionally, none of the included studies evaluating this comparison measured the other primary or secondary outcomes we sought for the 'Summary of findings' table. We are also unsure about the effects of consumers and health providers working in partnership as part of a multi-component intervention compared to the same intervention without partnership. Very low-certainty evidence indicated there may be little or no difference on health service alterations or health service user health service performance ratings (two studies); or on health service user health service utilisation patterns and adverse events (one study each). No studies evaluating this comparison reported the degree to which health service alterations reflect health service user priorities, or resource use. Overall, our confidence in the findings about the effects of working in partnership interventions was very low due to indirectness, imprecision and publication bias, and serious concerns about risk of selection bias; performance bias, detection bias and reporting bias in most studies.

AUTHORS' CONCLUSIONS

The effects of consumers and providers working in partnership as an intervention, or as part of a multi-component intervention, are uncertain, due to a lack of high-quality evidence and/or due to a lack of studies. Further well-designed RCTs with a clear focus on assessing outcomes directly related to partnerships for patient-centred health services are needed in this area, which may also benefit from mixed-methods and qualitative research to build the evidence base.

Rationale and protocol for a cluster randomized, cross-over trial of recruitment methods of rural children in primary care clinics: A feasibility study of a pediatric weight control trial in the IDeA States Pediatric Clinical Trials Network

A significant percentage of clinical trials fail due to poor recruitment. Despite this, few studies exist to evaluate clinical trial recruitment strategies using a randomized approach in any population, and none exist to test recruitment strategies for trials involving children or rural populations. For clinical trials focused on weight control, evaluating retention and dose are extremely important, as poor retention can lead to biased samples and existing research shows that dose (i.e. contact hours) is directly related to patient outcome. Finally, adequacy of blinding of assessment teams is rarely reported in pediatric trials, and unblinded staff may be more likely to inadvertently bias findings. Therefore, in this feasibility trial we aim to use rigorous clinical trial methodology to assess the effectiveness of two different recruitment strategies, as well as test retention, dose, and blinding. Specifically, we describe the rationale, design, and planned implementation of a feasibility study of a rural pediatric obesity treatment trial that will be implemented in four medical clinics in four states affiliated with the Environmental influences on Child Health Outcomes IDeA States Pediatric Clinical Trials Network (ECHO ISPCTN). The primary objective is to assess recruitment rate for consecutive recruitment (approaching recently seen eligible patients in consecutive order by date seen) compared to traditional recruitment (such as posters, flyers, tear-offs), as well as to assess retention, dose, and blinding. If successful, this trial will support the implementation of a large multi-state trial directed at addressing obesity in rural children and their families recruited from their primary care clinics. Registered with ClinicalTrials.gov NCT ID NCT04142034.