Healthy Homes/Healthy Kids: a randomized trial of a pediatric primary care-based obesity prevention intervention for at-risk 5-10 year olds

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.

Randomized controlled trial evaluating a virtual parenting intervention for young children at risk of obesity: study protocol for Parenting Addressing Early Years Intervention with Coaching Visits in Toronto (PARENT) trial

BACKGROUND

The prevalence of overweight (15%) and obesity (6%) in children under 5 years of age in Canada are high, and young children with overweight and obesity are at increased risk of the development of chronic disease(s) in adulthood. Prior research has demonstrated very few published trials on effective obesity prevention interventions in young children at risk of obesity, within primary healthcare settings. The aim of this study is to determine if 18-48-month-old children at risk for obesity, who are randomized to receive the Parents Together program (i.e., intervention group), have reduced body mass index z-score (zBMI), compared to those not receiving the intervention, at a 12-month follow-up. Secondary clinical outcomes between the intervention and control groups will be compared at 12 months.

METHODS

A pragmatic, parallel group, 1:1, superiority, randomized control trial (RCT) through the TARGetKids! Practice Based Research Network will be conducted. Young children (ages 18-48 months) who are at increased risk for childhood obesity will be invited to participate. Parents who are enrolled in the intervention group will participate in eight weekly group sessions and 4-5 coaching visits, facilitated by a trained public health nurse. Children and parents who are enrolled in the control group will receive the usual health care. The primary outcome will be compared between intervention arms using an analysis of covariance (ANCOVA). Feasibility and acceptability will be assessed by parent focus groups and interviews, and fidelity to the intervention will be measured using nurse-completed checklists. A cost-effectiveness analysis (CEA) will be conducted.

DISCUSSION

This study will aim to reflect the social, cultural, and geographic diversity of children in primary care in Toronto, Ontario, represented by an innovative collaboration among applied child health researchers, community health researchers, and primary care providers (i.e., pediatricians and family physicians in three different models of primary care). Clinical and implementation outcomes will be used to inform future research to test this intervention in a larger number, and diverse practices across diverse geographic settings in Ontario.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03219697. Registered on June 27, 2017.

Are clinical trials randomising households to lifestyle interventions to delay cognitive decline feasible? A pilot study to determine the beliefs, preferences, and deterrents for households impacted by dementia based on semi-structured interviews

Introduction

While lifestyle risk factors are implicated in the development and progression of cognitive impairment, interventional trials of individual participants have yielded unconvincing evidence. We sought to explore the development of lifestyle interventions targeting the household-unit.

Methods

Semi-structured interviews were carried out among eight households affected by cognitive impairment (i.e. member of the household had cognitive impairment). Interviews took place online using a secure, web-based video platform recommended for patient clinician interaction. Interview content was analysed, and important themes identified.

Results

Eighteen participants were interviewed within households, of which eight (one per household) had cognitive impairment and others were spouses or first-degree relatives living in the same home. Several themes emerged; 1) household members without cognitive impairment were more likely to report poor sleep habits, and sleep was perceived to be the hardest behaviour to change; 2) diet generated most interest as a potential lifestyle intervention target as most participants believed there is a strong link with nutrition and cognition; 3) physical activity is challenging to adapt due to lack of motivation and focus when individuals are cognitively impaired. Barriers to study participation, including risk of harm, complexity of intervention and deviation from routine emerged during discussions.

Conclusions

This study identified beliefs and preferences of households towards lifestyle intervention trials. Findings from this study may be used to inform future clinical trial protocols and future qualitative studies should explore acceptability and feasibility of digital intervention applications.

The Healthy Homes/Healthy Kids 5-10 Obesity Prevention Trial: 12 and 24-month outcomes

BACKGROUND

Pediatric primary care is an important setting for addressing obesity prevention.

OBJECTIVE

The Healthy Homes/Healthy Kids 5-10 randomized controlled trial evaluated the efficacy of an obesity prevention intervention integrating pediatric primary care provider counseling and parent-targeted phone coaching.

METHODS

Children aged 5 to 10 years with a BMI between the 70th and 95th percentile and their parents were recruited from pediatric primary care clinics. Participants received well-child visit provider counseling about obesity and safety/injury prevention and were then randomized to a 14-session phone-based obesity prevention (OP; n = 212) or safety and injury prevention contact control (CC; n = 209) intervention. The primary outcome was 12 and 24-month child BMI percentile.

RESULTS

There was no overall significant treatment effect on child BMI percentile. Caloric intake was significantly lower among OP compared with CC participants at 12 months (P < .005). In planned subgroup analyses, OP condition girls had significantly lower BMI percentile (P < .05) and BMI z-score (P < .02) at 12 and 24 months relative to CC girls and were less likely to be overweight (38.0% vs 53.0%, P < .01) or (obese 3.4% vs 8.8%, P < .10) at follow-up.

CONCLUSIONS AND RELEVANCE

An obesity prevention intervention integrating brief provider counseling and parent-targeted phone counseling did not impact 12 and 24-month BMI status overall but did have a significant impact on BMI in girls.

Interventions for preventing obesity in children

EDITORIAL NOTE

This Cochrane review is now out of date and should not be used for reference. It has been split into four age groups and updated. Please refer to the 5‐11 and 12‐18 age group Cochrane reviews which were published in May 2024: https://doi.org/10.1002/14651858.CD015328.pub2 https://doi.org/10.1002/14651858.CD015330.pub2 The 2‐4 age group Cochrane review is planned for publication in September 2024.

BACKGROUND

Prevention of childhood obesity is an international public health priority given the significant impact of obesity on acute and chronic diseases, general health, development and well-being. The international evidence base for strategies to prevent obesity is very large and is accumulating rapidly. This is an update of a previous review.

OBJECTIVES

To determine the effectiveness of a range of interventions that include diet or physical activity components, or both, designed to prevent obesity in children.

SEARCH METHODS

We searched CENTRAL, MEDLINE, Embase, PsychINFO and CINAHL in June 2015. We re-ran the search from June 2015 to January 2018 and included a search of trial registers.

SELECTION CRITERIA

Randomised controlled trials (RCTs) of diet or physical activity interventions, or combined diet and physical activity interventions, for preventing overweight or obesity in children (0-17 years) that reported outcomes at a minimum of 12 weeks from baseline.

DATA COLLECTION AND ANALYSIS

Two authors independently extracted data, assessed risk-of-bias and evaluated overall certainty of the evidence using GRADE. We extracted data on adiposity outcomes, sociodemographic characteristics, adverse events, intervention process and costs. We meta-analysed data as guided by the Cochrane Handbook for Systematic Reviews of Interventions and presented separate meta-analyses by age group for child 0 to 5 years, 6 to 12 years, and 13 to 18 years for zBMI and BMI.

MAIN RESULTS

We included 153 RCTs, mostly from the USA or Europe. Thirteen studies were based in upper-middle-income countries (UMIC: Brazil, Ecuador, Lebanon, Mexico, Thailand, Turkey, US-Mexico border), and one was based in a lower middle-income country (LMIC: Egypt). The majority (85) targeted children aged 6 to 12 years.Children aged 0-5 years: There is moderate-certainty evidence from 16 RCTs (n = 6261) that diet combined with physical activity interventions, compared with control, reduced BMI (mean difference (MD) -0.07 kg/m2, 95% confidence interval (CI) -0.14 to -0.01), and had a similar effect (11 RCTs, n = 5536) on zBMI (MD -0.11, 95% CI -0.21 to 0.01). Neither diet (moderate-certainty evidence) nor physical activity interventions alone (high-certainty evidence) compared with control reduced BMI (physical activity alone: MD -0.22 kg/m2, 95% CI -0.44 to 0.01) or zBMI (diet alone: MD -0.14, 95% CI -0.32 to 0.04; physical activity alone: MD 0.01, 95% CI -0.10 to 0.13) in children aged 0-5 years.Children aged 6 to 12 years: There is moderate-certainty evidence from 14 RCTs (n = 16,410) that physical activity interventions, compared with control, reduced BMI (MD -0.10 kg/m2, 95% CI -0.14 to -0.05). However, there is moderate-certainty evidence that they had little or no effect on zBMI (MD -0.02, 95% CI -0.06 to 0.02). There is low-certainty evidence from 20 RCTs (n = 24,043) that diet combined with physical activity interventions, compared with control, reduced zBMI (MD -0.05 kg/m2, 95% CI -0.10 to -0.01). There is high-certainty evidence that diet interventions, compared with control, had little impact on zBMI (MD -0.03, 95% CI -0.06 to 0.01) or BMI (-0.02 kg/m2, 95% CI -0.11 to 0.06).Children aged 13 to 18 years: There is very low-certainty evidence that physical activity interventions, compared with control reduced BMI (MD -1.53 kg/m2, 95% CI -2.67 to -0.39; 4 RCTs; n = 720); and low-certainty evidence for a reduction in zBMI (MD -0.2, 95% CI -0.3 to -0.1; 1 RCT; n = 100). There is low-certainty evidence from eight RCTs (n = 16,583) that diet combined with physical activity interventions, compared with control, had no effect on BMI (MD -0.02 kg/m2, 95% CI -0.10 to 0.05); or zBMI (MD 0.01, 95% CI -0.05 to 0.07; 6 RCTs; n = 16,543). Evidence from two RCTs (low-certainty evidence; n = 294) found no effect of diet interventions on BMI.Direct comparisons of interventions: Two RCTs reported data directly comparing diet with either physical activity or diet combined with physical activity interventions for children aged 6 to 12 years and reported no differences.Heterogeneity was apparent in the results from all three age groups, which could not be entirely explained by setting or duration of the interventions. Where reported, interventions did not appear to result in adverse effects (16 RCTs) or increase health inequalities (gender: 30 RCTs; socioeconomic status: 18 RCTs), although relatively few studies examined these factors.Re-running the searches in January 2018 identified 315 records with potential relevance to this review, which will be synthesised in the next update.

AUTHORS' CONCLUSIONS

Interventions that include diet combined with physical activity interventions can reduce the risk of obesity (zBMI and BMI) in young children aged 0 to 5 years. There is weaker evidence from a single study that dietary interventions may be beneficial.However, interventions that focus only on physical activity do not appear to be effective in children of this age. In contrast, interventions that only focus on physical activity can reduce the risk of obesity (BMI) in children aged 6 to 12 years, and adolescents aged 13 to 18 years. In these age groups, there is no evidence that interventions that only focus on diet are effective, and some evidence that diet combined with physical activity interventions may be effective. Importantly, this updated review also suggests that interventions to prevent childhood obesity do not appear to result in adverse effects or health inequalities.The review will not be updated in its current form. To manage the growth in RCTs of child obesity prevention interventions, in future, this review will be split into three separate reviews based on child age.

Assessing the feasibility of parent participation in a commercial weight loss program to improve child body mass index and weight-related health behaviors

Objectives:

Little is known about how children’s health might be affected by parents’ participation in commercial weight loss programs. Given that more than 3.2 million people subscribe to just one commercial weight loss program, Weight Watchers, any secondary effects on children’s weight-related health behaviors (e.g. dietary behaviors, physical activity, and sedentary time) and body mass index from parent participation in commercial weight loss programs may have significant public health implications. This study examined the feasibility of conducting a study to assess such effects. Methods for recruitment and retention, and perceived acceptability and satisfaction among participants in small-scale preliminary study, were evaluated. Changes in body mass index and health behaviors among the parent–child dyads were also measured to test whether a larger-scale study would be warranted.

Methods:

This was an 8-week, pre–post observational feasibility study involving 20 parent–child dyads where both members had overweight or obesity. Physical and behavioral data were collected at baseline and 8 weeks from both members of the dyads. Parenting data were collected at the same time periods through parents’ self-report. Bivariate correlation was used to quantify the associations in changes for dyad members.

Results:

Feasibility goals for retention and perceived acceptability/satisfaction among participants were met. We reached approximately 80% of our enrollment goal. Parents showed a significant decrease in body mass index of 0.53 points (p < 0.05), while children showed a significant increase in raw body mass index (0.42, p < 0.05) and body mass index percentile (0.59, p < 0.05). However, correlation between changes in parent body mass index and changes in children body mass index percentile was positively correlated (r = 0.24, p = 0.31). A decrease in parent intake of total fat was associated with a decrease in the intake of fat in their children (r = 0.47, p < 0.05).

Conclusion:

Our findings support the viability of a larger-scale follow-up to assess the potential of using parent-only commercial weight loss program as a mechanism for improving health behaviors and body mass index in children with overweight or obesity.

Understanding Outcomes in Behavior Change Interventions to Prevent Pediatric Obesity: The Role of Dose and Behavior Change Techniques

BACKGROUND

Behavioral interventions to prevent pediatric obesity have shown inconsistent results across the field. Studying what happens within the "black box" of these interventions and how differences in implementation lead to different outcomes will help researchers develop more effective interventions.

AIM

To compare the implementation of three features of a phone-based intervention for parents (time spent discussing weight-related behaviors, behavior change techniques used in sessions, and intervention activities implemented by parents between sessions) with study outcomes.

METHODS

A random selection of 100 parent-child dyads in the intervention arm of a phone-based obesity prevention trial was included in this analysis. Sessions were coded for overall session length, length of time spent discussing specific weight-related behaviors, number of behavior change techniques used during the sessions, and number of intervention-recommended activities implemented by the parents between sessions (e.g., parent-reported implementation of behavioral practice/rehearsal between sessions). The primary study outcome, prevention of unhealthy increase in child body mass index (BMI) percentile, was measured at baseline and 12 months.

RESULTS

Overall session length was associated with decreases in child BMI percentile ( b = -0.02, p = .01). There was no association between the number of behavior change techniques used in the sessions and decreases in child BMI percentile ( b = -0.29, p = .27). The number of activities the parents reported implementing between sessions was associated with decreases in child BMI percentile ( b = -1.25, p = .02).

DISCUSSION

To improve future interventions, greater attention should be paid to the intended and delivered session length, and efforts should be made to facilitate parents' implementation of intervention-recommended activities between sessions (ClinicalTrials.gov, No. NCT01084590).

Exploring how Brazilian immigrant mothers living in the USA obtain information about physical activity and screen time for their preschool-aged children: a qualitative study

OBJECTIVE

To explore how Brazilian-born immigrant mothers living in the USA obtain information about physical activity (PA) and screen time (ST) behaviours for their preschool-aged children.

RESEARCH DESIGN

Focus group discussions (FGDs) were used to gain an in-depth understanding of research topics. All FGDs were audio-recorded and professionally transcribed verbatim. The Portuguese transcripts were analysed using thematic analysis, an iterative process of coding the data in phases to create meaningful patterns.

PARTICIPANTS

Thirty-seven Brazilian-born immigrant mothers of preschool-age children.

SETTING

This study was conducted in two cities in Massachusetts (MA). Participants were recruited from two predominantly Brazilian churches, local Brazilian businesses and community-based social and health services organisations in the Greater Boston area in MA.

RESULTS

Analyses revealed that the mothers participating in this study did not initially actively seek out information about PA and ST for their preschool-age children, but that they received unsolicited information about these behaviours from multiple sources including their child's paediatrician, Women, Infant and Children (WIC) programme staff, members of their social network of Brazilian friends and the Brazilian media. Mothers reported that this unsolicited information increased their knowledge about the importance of making sure their children were physically active and not participating in excessive ST. This increased awareness led mothers to actively seek information about PA and ST behaviours via the internet and through interpersonal communication with fellow Brazilian friends and family.

CONCLUSIONS

Given the value Brazilian immigrant mothers placed on the advice of their paediatricians and WIC staff, interventions should consider involving these healthcare professionals, possibly through including endorsement (eg, prescription for PA and maximum ST). More research is needed to ensure Brazilian immigrant mothers' health and media literacy including their ability to navigate the online environment and to discern the accuracy and quality of information from various web sites.

Links between the organization of the family home environment and child obesity: a systematic review

Due to increasingly high rates of child overweight and obesity, it is important to identify risk and protective factors that may inform more effective prevention and intervention. The degree of organization in the family home environment is a studied, but not well-specified, factor that may impact child weight. Prior research on household organization has examined an array of constructs, including family routines, limit setting, household chaos, crowding and the broad home environment. This study systematically reviews literature on organization within the family home environment and weight among children ages 2-12. Six hundred thirty-seven studies were reviewed by four coders for eligibility, and 32 studies were included in the final synthesis. Overall, 84% of studies provided evidence for relations between at least one indicator of organization within the family home environment and child weight. Studies provided compelling evidence across several constructs, suggesting that the relevance of household organization to child weight extends beyond a single indicator. Directions for future work include (i) examining the mediating role of health behaviours, (ii) examining the moderating role of socioeconomic factors, (iii) broadening this evidence base across cultures and nationalities and (iv) integrating constructs to develop a comprehensive model of organization within the home environment.

A systematic review of methods to measure family co-participation in physical activity

The family environment is key in influencing children's health behaviours. Encouraging family co-participation in physical activity may therefore be an effective approach to increasing children's physical activity levels. Yet, little is known about how to best assess family co-participation in physical activity. This review summarizes methods to measure family co-participation in physical activity, which was defined as joint physical activities including at least one healthy child (0-18 years) and one other family member. Methods were identified through a systematic literature search, cross-referencing pre-selected reviews and contacting research groups. Thirty-seven measurement methods were included. Questionnaires were the most common method used, with the majority assessing frequency of co-participation and few also assessing duration and type. Reliability and internal consistency of scales were often reported, but rarely specified for the item(s) relevant to co-participation. Other methods of measuring co-participation included diaries, event history calendars, direct observations and accelerometry combined with diary, ecological momentary assessment or global positioning systems (GPS). Whilst a large number of measurement methods of family co-participation in physical activity exist, few are comprehensive and/or report acceptable psychometric properties. Future work should focus on reaching consensus in defining family co-participation in physical activity, and subsequently developing reliable and valid measures.

Associations between mother's and children's moderate-to-vigorous physical activity and sedentary time in the family context

The manner in which mothers' and children's moderate-to-vigorous physical activity (MVPA) and sedentary time (ST) are associated across different settings (i.e., at home versus outside of the home, on weekdays versus weekends) is not well understood. The purposes of this study were to: (Strong et al., 2005) describe associations between mothers' and children's levels of MVPA and ST, and (U.S. Department of Health and Human Services, 2008) determine how setting and mothers' and children's characteristics moderate the associations. We used baseline data from the University of Michigan Healthy Families baseline data (2013-2015) from 55 mothers who have children in two age groups (3-5.99 years [n = 25] and 10-12.99 years [n = 30]) for the analysis. MVPA and ST data were collected using accelerometry over a seven day period. Proportion of time spent in MVPA and ST between 08:00 am and 08:59 pm was calculated. Mixed-effects models were used to examine associations. After controlling for selected mother and child characteristics and setting variables, MVPA and ST levels were positively associated in mothers and their children (P < 0.001). The mother-child associations for MVPA and ST were 1.7 times (β = 0.365 versus β = 0.216) and 2.2 times (β = 0.255 versus β = 0.117) stronger, respectively, when both were at home together. The association did not differ by day of the week. The variations by setting underline the importance of developing home-based, family-centered interventions to increase PA and decrease ST.

Parent Choice in a Pediatric Obesity Prevention Intervention

BACKGROUND

There is value in having parents choose which behaviors to address in obesity interventions, but it is unknown whether they choose behaviors that will effectively impact healthy growth. This study assessed whether child behaviors or parent intention to change behaviors were associated with behaviors parents chose to discuss.

METHODS

Parent intention to change specific behaviors and time spent discussing behaviors was coded during intervention sessions.

RESULTS

Child activity, screen-time, energy intake, breakfast, and family meals were associated with time spent discussing these behaviors. Fewer associations were seen between parent intention and time spent discussing these behaviors.

CONCLUSIONS

Results suggest that in interventions allow choice, parents may choose to discuss the weight-related behaviors their children need to address.

[Electronic media in obesity prevention in childhood and adolescence]

BACKGROUND

The increasing prevalence of childhood obesity is - amongst other factors - due to changed leisure time habits with decreased physical activity and increased media consumption. However, electronic media such as tablets and smartphones might also provide a novel intervention approach to prevent obesity in childhood and adolescence.

OBJECTIVES

A summary of interventions applying electronic media to prevent childhood obesity is provided to investigate short term effects as well as long term results of these interventions.

METHODS

A systematic literature search was performed in PubMed/Web of Science to identify randomized and/or controlled studies that have investigated the efficacy of electronic media for obesity prevention below the age of 18.

RESULTS

A total of 909 studies were identified, and 88 studies were included in the analysis. Active video games did increase physical activity compared to inactive games when applied within a peer group. Interventions via telephone had positive effects on certain lifestyle-relevant behaviours. Interventions via mobile were shown to decrease dropout rates by sending regular SMS messages. To date, interventions via smartphones are scarce for adolescents; however, they might improve cardiorespiratory fitness. The results from internet-based interventions showed a trend towards positive effects on lifestyle-relevant behaviors. The combination of different electronic media did not show superior results compared to interventions with only one medium. Interventions via TV, DVD or video-based interventions may increase physical activity when offered as an incentive, however, effects on weight status were not observed.

DISCUSSION

Children and adolescents currently grow up in a technology- and media-rich society with computers, tablets, smartphones, etc. used daily. Thus, interventions applying electronic media to prevent childhood obesity are contemporary. Available studies applying electronic media are however heterogeneous in terms of applied medium and duration. Positive effects on body composition were not observed, but only on certain lifestyle-relevant behaviours. In addition, these effects could only be seen in the short term. Follow-up data are currently scarce.

Recruiting African American Children for Research: An Ecological Systems Theory Approach

With health disparities still pervasive and persistent in the United States, medical researchers and social scientists continue to develop recruitment strategies to increase the inclusion of racial/ethnic minority groups in research and interventions. Effective methods for recruiting samples of African American participants for pediatric research may be best understood when situated within an overarching conceptual model-one that serves to organize and explain effective recruitment strategies. A theoretical framework well suited for this purpose is Bronfenbrenner's ecological systems theory, which views individuals as influencing and being influenced by (both directly and indirectly) a series of interconnected social systems. Based on the ecological systems theory and on previous research from multiple domains (e.g., medicine, psychology, public health, social work), in the current article, we review strategies for effective recruitment of African American children and adolescents for research.

Feasibility of standardized methods to specify behavioral pediatric obesity prevention interventions

Standardized methods are needed to evaluate what occurs within the 'black box' of behavioral interventions to prevent pediatric obesity. The purpose of this research is to evaluate methods to specify the behavior change techniques used and the amount of time spent discussing target weight-related behaviors in an intervention for parents of children at risk for becoming overweight or obese. Independent coders were trained to identify behavior change techniques and time spent discussing weight-related behaviors in audio recordings and transcripts of intervention sessions from 100 randomly selected participants. The behavior change technique taxonomy (BCTTv1) was used to code techniques present in sessions. A newly-developed tool was used to code time spent discussing each target weight-related behavior (e.g., physical activity, screen time). Sessions from a subset of these participants (N = 20) were double coded to evaluate inter-rater reliability. After revisions to coding protocols, coders reliably coded behavior change techniques used and time spent discussing target weight-related behaviors in sessions from the subset of 20 participants. The most commonly discussed target weight-related behavior was physical activity followed by energy intake and fruit and vegetable intake. On average, 13.9 (SD = 2.8) unique behavior change techniques were present across sessions for a given participant. These results offer reliable methods for systematically identifying behavior change techniques used and time spent discussing weight-related behaviors in a pediatric obesity prevention intervention. This work paves the way for future research to identify which specific target behaviors and techniques are most associated with the prevention of unhealthy weight gain in children.

Predicting dietary intake among children classified as overweight or at risk for overweight: Independent and interactive effects of parenting practices and styles

Using baseline data from a randomized controlled pediatric obesity prevention trial, this study sought to examine general parenting style as a potential moderator of the association between feeding-specific parenting practices and child dietary intake. Four hundred and twenty-one parent-child dyads served as participants (49% girls and 93% mothers). Children were, on average, 6.6 years old and either overweight or at-risk for overweight (mean BMI percentile = 84.9). Data were collected in participants' homes. Study staff measured children's height and weight. Parents completed questionnaires designed to assess general parenting styles (authoritative, authoritarian and permissive) and child feeding practices (restriction and monitoring). Child dietary intake was assessed using a 24-h recall system. Outcomes were daily servings of fruits and vegetables, sugar-sweetened beverages (SSB), and unhealthy snacks. Results were as follows: Permissive parenting was inversely associated with fruit and vegetable consumption, and parental monitoring was inversely associated with SSB consumption. There were no other main effects of parenting style or feeding practice on child dietary consumption. Authoritarian parenting moderated the association between restriction and SSB intake (a marginally significant effect after correcting for multiple comparisons). Restriction was inversely associated with SSB consumption when authoritarianism was high but unassociated with SSB consumption when authoritarianism was low. Findings indicate that the parenting practice of monitoring child dietary intake was associated with more healthful consumption regardless of parenting style; interventions may thus benefit from encouraging parental monitoring. The parenting strategy of restricting child dietary intake, in contrast, was associated with lower SSB intake in the context of higher parental authoritarianism but inconsequential in the context of lower parental authoritarianism. This exploratory finding warrants further investigation.

Household factors, family behavior patterns, and adherence to dietary and physical activity guidelines among children at risk for obesity

OBJECTIVE

To describe the proportion of children adhering to recommended physical activity and dietary guidelines, and examine demographic and household correlates of guideline adherence.

DESIGN

Cross-sectional (pre-randomization) data from a behavioral intervention trial designed to prevent unhealthy weight gain in children.

PARTICIPANTS

A total of 421 children (aged 5-10 years) at risk for obesity (body mass index percentile, 70-95).

MAIN OUTCOMES MEASURED

Physical activity (accelerometry), screen time (parent survey), and fruit and vegetable and sugar-sweetened beverage intake (24-hour dietary recall).

ANALYSIS

Proportions meeting guidelines were calculated. Logistic regression examined associations between demographic and household factors and whether children met recommended guidelines for (1) physical activity (≥ 60 min/d), (2) screen time (≤ 2 h/d), (3) fruit and vegetable intake (≥ 5 servings/d), and (4) sugar-sweetened beverage avoidance.

RESULTS

Few children met more than 1 guideline. Only 2% met all 4 recommended guidelines and 19% met none. Each guideline had unique sociodemographic and domain-specific household predictors (ie, availability of certain foods and beverages, media, and active play and exercise equipment).

CONCLUSIONS AND IMPLICATIONS

Families equipped to promote healthy child behavior patterns in 1 activity or dietary domain may not be in others. Results have implications for the development of interventions to affect children's weight-related behaviors and growth trajectories.

Eating behaviors and quality of life in preadolescents at risk for obesity with and without abdominal pain

OBJECTIVES

We evaluated eating behaviors and quality of life (QOL) in preadolescent children at risk for obesity, with and without abdominal pain (AP).

METHODS

Participants were parent-child dyads enrolled in a randomized, controlled obesity prevention trial. The children were between 5 and 10 years of age and at risk for obesity (70th-95th percentile of body mass index, n = 420). Parents completed measures of their child's eating behaviors, QOL, AP, and bowel function and their own depression status, concern about child weight, and feeding practices. Children's height and weight were also measured.

RESULTS

Children with frequent AP (≥2/month, n = 103) were compared with children reporting infrequent AP (<2/month, n = 312). Age and body mass index did not differ between groups, but AP was more prevalent in girls. Child emotional overeating and parental depression scores were higher in the frequent AP group (P < 0.01), and child QOL was lower (P < 0.01). In multivariable analysis, female gender (odds ratio [OR] 2.18, 95% confidence interval [CI] 1.20-3.97), emotional overeating (OR 2.28, 95% CI 1.37-3.81), and parental depression (OR 1.23, 95% CI 1.12-1.35) were associated with more frequent AP. Secondary analyses were completed for children who met Rome III criteria for irritable bowel syndrome.

CONCLUSIONS

Clinicians working with children with AP at risk for obesity should consider assessing for and, when appropriate, addressing parent and child factors that could exacerbate AP.

Concern about Child Weight among Parents of Children At-Risk for Obesity

OBJECTIVES

This study investigated the relationship between parental concern about child weight and weight-related child behaviors, parenting practices, and household characteristics.

METHODS

Parent-child dyads (N=421) enrolled in a randomized, controlled obesity prevention trial were evaluated at baseline.

RESULTS

Parental concern regarding child weight was associated with greater use of restrictive and monitoring feeding practices and lower total child energy intake.

CONCLUSIONS

Parents expressing greater concern about child weight were more likely to report engaging in strategies to regulate their child's dietary intake, some of which may inadvertently have negative consequences. Intervention strategies that activate parental concern about child weight should include guidance and support for engaging in feeding practices that support healthful child eating patterns and growth.

Predicting child physical activity and screen time: parental support for physical activity and general parenting styles

OBJECTIVE

To examine relationships between parenting styles and practices and child moderate-to-vigorous physical activity (MVPA) and screen time.

METHODS

Participants were children (6.9 ± 1.8 years) with a body mass index in the 70-95th percentile and their parents (421 dyads). Parent-completed questionnaires assessed parental support for child physical activity (PA), parenting styles and child screen time. Children wore accelerometers to assess MVPA.

RESULTS

Parenting style did not predict MVPA, but support for PA did (positive association). The association between support and MVPA, moreover, varied as a function of permissive parenting. For parents high in permissiveness, the association was positive (greater support was related to greater MVPA and therefore protective). For parents low in permissiveness, the association was neutral; support did not matter. Authoritarian and permissive parenting styles were both associated with greater screen time.

CONCLUSIONS

Parenting practices and styles should be considered jointly, offering implications for tailored interventions.