An online-based intervention to promote healthy eating through self-regulation among children: study protocol for a randomized controlled trial

Understanding children's voices about enablers of obesity from a causal attribution's stance: a vignette study

OBJECTIVE

Childhood obesity is a public health challenge with health, economic and psychosocial consequences. The design of interventions addressing childhood obesity seldom considers children's perspectives on the topic. Weiner's causal attribution framework was used to explore children's perspectives on enablers of obesity.

METHODS AND MEASURES

Children (N = 277) responded to a vignette with an open-ended question. Data were analyzed using content analysis.

RESULTS

Children perceived internal, unstable and controllable causes (e.g. dietary intake, self-regulation and emotionality) as the main enablers (76.53%) of obesity, while some (11.91%) highlighted external, unstable and controllable causes (e.g. parent food restrictions). A focus on children with healthy body weight showed that they mentioned more internal, stable and controllable causes for obesity than children with unhealthy body weight/obesity did. The latter mentioned more external, unstable and controllable causes than their counterparts.

CONCLUSIONS

Understanding children's causal attributions for obesity is expected to deepen our knowledge of obesity enablers and help design interventions matching children's perspectives.

Interventions for increasing fruit and vegetable consumption in children aged five years and under

BACKGROUND

Insufficient consumption of fruits and vegetables in childhood increases the risk of future non-communicable diseases, including cardiovascular disease. Testing the effects of interventions designed to increase children's consumption of fruit and vegetables, including those focused on specific child-feeding strategies or broader multicomponent interventions targeting the home or childcare environment, is required to assess the potential to reduce this disease burden.

OBJECTIVES

To assess the benefits and harms of interventions designed to increase the consumption of fruit, vegetables or both amongst children aged five years and under.

SEARCH METHODS

We searched CENTRAL, MEDLINE, Embase and two clinical trials registries to identify eligible trials on 25 March 2023. We searched Proquest Dissertations and Theses in December 2022. We reviewed reference lists of included trials and contacted authors of the included trials to identify further potentially relevant trials.

SELECTION CRITERIA

We included randomised controlled trials (RCTs), including cluster-randomised controlled trials (C-RCTs) and cross-over trials, of any intervention primarily targeting consumption of fruit, vegetables or both amongst children aged five years and under compared to no-intervention control, and incorporating a dietary or biochemical assessment of fruit or vegetable consumption. Two review authors independently screened titles and abstracts of identified papers; a third review author resolved disagreements.

DATA COLLECTION AND ANALYSIS

Two review authors independently extracted data and assessed the risks of bias of included trials; a third review author resolved disagreements. We used random-effects models in meta-analyses for the primary review outcomes where we identified sufficient trials. We calculated standardised mean differences (SMDs) to account for the heterogeneity of fruit and vegetable consumption measures. We conducted assessments of risks of bias and evaluated the certainty of evidence (GRADE approach) using Cochrane procedures.

MAIN RESULTS

We included 53 trials with 120 trial arms and 12,350 participants. Sixteen trials examined the impact of child-feeding practice interventions only (e.g. repeated food exposure) in increasing child vegetable intake. Twenty trials examined the impact of multicomponent interventions primarily conducted in the childcare setting (e.g. parent nutrition education and preschool policy changes) in increasing child fruit and vegetable intake. Seventeen trials examined the impact of parent nutrition education only in increasing child fruit and vegetable intake. Two trials examined the effect of a nutrition education intervention delivered to children only in increasing child fruit and vegetable intake and one each examined a child-focused mindfulness intervention or providing families with fruit and vegetable interventions. We judged nine of the 53 included trials as free from high risks of bias across all domains. Performance, detection and attrition bias were the most common domains judged at high risk of bias for the remaining trials. There is moderate-certainty evidence that child-feeding practice interventions versus no-intervention control probably have a small positive effect on child vegetable consumption, equivalent to an increase of 15.5 grams as-desired consumption of vegetables (SMD 0.44, 95% confidence interval (CI) 0.24 to 0.65; 15 trials, 1976 participants; mean post-intervention follow-up = 12.3 weeks). No trials in this comparison reported information about intervention costs. One trial reported no harms or serious unintended adverse consequences (low-certainty evidence). Multicomponent interventions versus no-intervention control probably have a small effect on child consumption of fruit and vegetables (SMD 0.27, 95% CI 0.11 to 0.43; 14 trials, 4318 participants; moderate-certainty evidence; mean post-intervention follow-up = 4.0 weeks), equivalent to an increase of 0.34 cups of fruit and vegetables a day. One trial, which tested a multicomponent garden-based intervention, reported the installation of the garden as part of the intervention to be USD 1500 per childcare centre (low-certainty evidence). No trials in this comparison reported information about unintended adverse consequences of interventions. Parent nutrition education interventions may have little to no short-term impact on child consumption of fruit and vegetables versus no-intervention control (SMD 0.10, 95% CI -0.02 to 0.22; 14 trials, 4122 participants; low-certainty evidence; mean post-intervention follow-up = 6.4 weeks). One trial reported the total estimated cost of delivering a parent nutrition education intervention for infant feeding, physical activity and sedentary behaviours delivered by a dietitian as approximately AUD 500 per family (low-certainty evidence). One trial reported no unintended adverse consequences on family food expenditure following implementation of an intervention delivered over the telephone to improve parental knowledge and skills about the home food environment (low-certainty evidence). Trials reported receiving governmental or charitable funds, except for one trial reporting industry funding.

AUTHORS' CONCLUSIONS

There was moderate-certainty evidence that child-feeding practice interventions and multicomponent interventions probably lead to only small increases in fruit and vegetable consumption in children aged five years and under. Parent nutrition education interventions may have little or no effect on increasing fruit and vegetable consumption in children aged five years and under. Future research should be prioritised on assessment and reporting of both intervention cost and adverse effects, and development and evaluation of interventions in research gaps, including in a broader range of settings and in low- and middle-income countries. This review continues to be maintained as a living systematic review with monthly searches for new evidence and incorporation of relevant new evidence as it becomes available. Please refer to the Cochrane Database of Systematic Reviews for the current status of this review.

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.

Self-Efficacy to Regulate Eating Behaviors Scale for Children: A Validation Study

Self-efficacy has a strong influence on children's eating behavior. Feeling capable of regulating one's eating behavior is especially relevant in situations of activation while facing temptations or experiencing negative emotions. Despite the relevance, there is no validated measure to assess children's self-efficacy to regulate eating behaviors in these domains. The present study examines the psychometric properties of the Self-Efficacy to Regulate Eating Behaviors Scale for Children based on a sample of 724 elementary school children in Portugal. The sample was split randomly into two groups, and a principal component analysis with Group 1 and a confirmatory factor analysis with Group 2 were carried out. The scale comprises two distinct but related factors-self-efficacy to regulate eating behaviors in activation and temptation situations and self-efficacy to regulate eating behaviors in negative emotional situations. Moreover, self-efficacy to regulate eating behaviors was positively and statistically related to self-regulation processes toward healthy eating, declarative knowledge about healthy eating, and attitudes and perceptions toward healthy eating. The present study provides preliminary evidence that the Self-Efficacy to Regulate Eating Behaviors Scale for Children is valid and reliable for evaluating children's self-efficacy in regulating their eating behaviors.

Children's Perceived Barriers to a Healthy Diet: The Influence of Child and Community-Related Factors

A healthy diet influences the promotion and maintenance of health throughout an individual’s life. Many individuals struggle to have a healthy diet, despite it being mainly under their control. The current study aims to explore children’s perceived barriers to a healthy diet. A qualitative study with the open-ended question, “Please identify the top 5 barriers to a healthy diet”, was undertaken between January–June 2019 in which 274 students from the 5–6th grades wrote down their answers to the open-ended question. Content analysis was used to analyze responses with a codebook based on the Six C’s Model. Five categories were identified: Child, Clan, Community, Country, and Culture-related barriers. Findings showed that the barriers most highlighted were in the Child sphere (e.g., dietary intake) and the Community sphere (e.g., peer food choices). Children seldom referred to barriers from the Clan sphere, i.e., related to family (e.g., food available at home). Additionally, it seems that girls emphasize more barriers from the Child sphere, while boys emphasize more barriers from the Community sphere. Due to the qualitative nature of this study, interpretation of the data should take into account the specific characteristics and context of the sample. Nevertheless, the current data are helpful in identifying implications for practice, for example, the need to empower children with tools (e.g., self-regulation-based interventions) likely to help them overcome perceived barriers. Finally, advocacy groups may help set environmental and structural changes in the community likely to facilitate children’s healthy choices.