Using Facebook in a Healthy Lifestyle Intervention: Feasibility and Preliminary Efficacy

Effectiveness of a Parent-Based eHealth Intervention for Physical Activity, Dietary Behavior, and Sleep Among Preschoolers: Protocol for a Randomized Controlled Trial

BACKGROUND

Preschoolers' lifestyles have become physically inactive and sedentary, their eating habits have become unhealthy, and their sleep routines have become increasingly disturbed. Parent-based interventions have shown promise to improve physical activity (PA), improve dietary behavior (DB), and reduce sleep problems among preschoolers. However, because of the recognized obstacles of face-to-face approaches (eg, travel costs and time commitment), easy access and lower costs make eHealth interventions appealing. Previous studies that examined the effectiveness of parent-based eHealth for preschoolers' PA, DB, and sleep have either emphasized 1 variable or failed to balance PA, DB, and sleep modules and consider the intervention sequence during the intervention period. There is an acknowledged gap in parent-based eHealth interventions that target preschoolers raised in Chinese cultural contexts.

OBJECTIVE

This study aims to investigate the effectiveness of a parent-based eHealth intervention for PA, DB, and sleep problems among Chinese preschoolers.

METHODS

This 2-arm, parallel, randomized controlled trial comprises a 12-week intervention with a 12-week follow-up. A total of 206 parent-child dyads will be randomized to either an eHealth intervention group or a control group. Participants allocated to the eHealth intervention group will receive 12 interactive modules on PA, DB, and sleep, with each module delivered on a weekly basis to reduce the sequence effect on variable outcomes. The intervention is grounded in social cognitive theory. It will be delivered through social media, where parents can obtain valid and updated educational information, have a social rapport, and interact with other group members and facilitators. Participants in the control group will receive weekly brochures on PA, DB, and sleep recommendations from kindergarten teachers, but they will not receive any interactive components. Data will be collected at baseline, 3 months, and 6 months. The primary outcome will be preschoolers' PA. The secondary outcomes will be preschoolers' DB, preschoolers' sleep duration, preschoolers' sleep problems, parents' PA, parenting style, and parental feeding style.

RESULTS

Parent-child dyads were recruited in September 2023. Baseline and posttest data collection occurred from October 2023 to March 2024. The follow-up data will be obtained in June 2024. The results of the study are expected to be published in 2025.

CONCLUSIONS

The parent-based eHealth intervention has the potential to overcome the barriers of face-to-face interventions and will offer a novel approach for promoting a healthy lifestyle among preschoolers. If this intervention is found to be efficacious, the prevalence of unhealthy lifestyles among preschoolers may be alleviated at a low cost, which not only has a positive influence on the health of individuals and the well-being of the family but also reduces the financial pressure on society to treat diseases caused by poor lifestyle habits.

TRIAL REGISTRATION

ClinicalTrials.gov NCT06025019; https://clinicaltrials.gov/study/NCT06025019.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/58344.

Baseline higher hair cortisol moderated some effects in a healthy lifestyle intervention

Children and families from socioeconomically marginalized background experience high levels of stress, especially persistent chronic stress, due to unstable housing, employment, and food insecurity. Although consistent evidence supports a stress-obesity connection, little research has examined the potential moderation role of stress in childhood obesity interventions. Therefore, this study aimed to explore how chronic stress (hair cortisol) moderated the effects of a healthy lifestyle intervention on improving behavioral and anthropometric outcomes among 95 socioeconomically marginalized parent-child dyads. Data were collected in a cluster randomized controlled trial with 10 Head Start childcare centers being randomized into intervention and control. The child sample (3-5 years old) included 57.9 % female, 12.6 % Hispanic, and 40.0 % Black. For the parents, 91.6 % were female, 8.4 % were Hispanic, 36.8 % were Black, and 56.8 % were single. Parent baseline hair cortisol significantly moderated the intervention effects on child fruit intake (B = -1.56, p = .030) and parent nutrition self-efficacy (B = 1.49, p = .027). Specifically, higher parent hair cortisol lowered the increases in child fruit intake but improved the increases in parent nutrition self-efficacy in the intervention group compared to control group. Child higher baseline hair cortisol was significantly associated with the decreases in child fruit intake (B = -0.60, p = .025). Child baseline hair cortisol significantly moderated the intervention effects on parent physical activity (PA) self-efficacy (B = -1.04, p = .033) and PA parental support (B = -0.50, p = .016), with higher child hair cortisol decreasing the improvement on these two outcomes in the intervention group compared to control group. Results from this study shed lights on the moderation role of chronic stress on impacting healthy lifestyle intervention effects. Although needing further investigation, the adverse effects of chronic stress on intervention outcomes should be considered when developing healthy lifestyle interventions for preschoolers and their families.

FirstStep2Health: A cluster randomised trial to promote healthy behaviours and prevent obesity amongst low-income preschoolers

OBJECTIVE

To evaluate the preliminary effects of a theory-based, multi-component intervention on improving healthy lifestyle behaviours and preventing obesity amongst low-income preschoolers.

METHODS

A cluster randomised controlled trial was conducted at 10 daycare centres. The 16-week FirstStep2Health intervention, grounded in the Actor-Partner Interdependence Model and the Social Cognitive Theory, included five components: a Facebook-based parent programme, three virtual parent meetings, three weekly motivational text messages, parent-child learning via weekly child letters and daycare centre-based child programme.

RESULTS

A total of 95 preschoolers (53 intervention and 42 control) participated. Preschoolers' mean age was 49.27 months, with 57.9% being female, 12.6% being Hispanic and 40% being African American. The intervention significantly decreased intervention preschoolers' fat intake (B = -33.76, p = 0.047) and % body fat (B = -1.18, p = 0.036) compared to the control. During year 2, there were significant intervention effects on increasing skin carotenoids (B = 87.06, p = 0.035). Although not statistically significant, the intervention showed positive effects on increasing preschoolers' fruit/vegetable intake; and decreasing screen time, body mass index z-score and proportion of overweight/obesity.

CONCLUSIONS

Even with some potential limitations (small sample size, measurement concerns and confounding with Coronavirus Disease 2019 pandemic), the study's results support the preliminary efficacy of the FirstStep2Health intervention in preventing obesity amongst low-income racially diverse preschoolers.

Elevated parent and child hair cortisol moderated the efficacy of a mindful eating intervention

To explore whether elevated baseline hair cortisol moderated effects of a mindful eating intervention on anthropometrics, blood pressure (BP), household food insecurity, eating behaviour, and various psychosocial outcomes. The 14-week intervention included a parent Facebook-based programme, 3 parent meetings, preschooler letters connecting school learning to home practices, and a preschool-based mindful eating programme. Among 107 parent-preschooler dyads, mean age was 47.32 months for preschoolers and 30.12 years for parents. Among preschoolers, 54.2% were female, 8.4% were Hispanic, and 19.6% were Black. Among parents, 95.3% were female, 6.5% were Hispanic, 15.0% were Black, 39.4% were single, and 43.4% were unemployed. Preschoolers' elevated hair cortisol was related to a smaller reduction in preschoolers' % body fat (r =.31) and smaller increases in parents' perceived responsibility for child feeding (r = -.37). Parents' elevated hair cortisol was associated with smaller decreases in preschoolers' emotional eating (r = .39) and household food insecurity (r = .44). Relationships between baseline hair cortisol and post-intervention outcomes (BP, emotional eating, fruit/vegetable intake, food insecurity, and coping) varied by baseline values of outcome variables. Given that stress may attenuate intervention effects, a stress management component may be necessary to foster positive behavioural changes. Moreover, interventions should be tailored according to participants' characteristics to achieve optimal effects.

Effects of eHealth Interventions on 24-Hour Movement Behaviors Among Preschoolers: Systematic Review and Meta-Analysis

BACKGROUND

The high prevalence of unhealthy movement behaviors among young children remains a global public health issue. eHealth is considered a cost-effective approach that holds great promise for enhancing health and related behaviors. However, previous research on eHealth interventions aimed at promoting behavior change has primarily focused on adolescents and adults, leaving a limited body of evidence specifically pertaining to preschoolers.

OBJECTIVE

This review aims to examine the effectiveness of eHealth interventions in promoting 24-hour movement behaviors, specifically focusing on improving physical activity (PA) and sleep duration and reducing sedentary behavior among preschoolers. In addition, we assessed the moderating effects of various study characteristics on intervention effectiveness.

METHODS

We searched 6 electronic databases (PubMed, Ovid, SPORTDiscus, Scopus, Web of Science, and Cochrane Central Register of Controlled Trials) for experimental studies with a randomization procedure that examined the effectiveness of eHealth interventions on 24-hour movement behaviors among preschoolers aged 2 to 6 years in February 2023. The study outcomes included PA, sleep duration, and sedentary time. A meta-analysis was conducted to assess the pooled effect using a random-effects model, and subgroup analyses were conducted to explore the potential effects of moderating factors such as intervention duration, intervention type, and risk of bias (ROB). The included studies underwent a rigorous ROB assessment using the Cochrane ROB tool. Moreover, the certainty of evidence was evaluated using the GRADE (Grading of Recommendations Assessment, Development, and Evaluation) assessment.

RESULTS

Of the 7191 identified records, 19 (0.26%) were included in the systematic review. The meta-analysis comprised a sample of 2971 preschoolers, which was derived from 13 included studies. Compared with the control group, eHealth interventions significantly increased moderate to vigorous PA (Hedges g=0.16, 95% CI 0.03-0.30; P=.02) and total PA (Hedges g=0.37, 95% CI 0.02-0.72; P=.04). In addition, eHealth interventions significantly reduced sedentary time (Hedges g=-0.15, 95% CI -0.27 to -0.02; P=.02) and increased sleep duration (Hedges g=0.47, 95% CI 0.18-0.75; P=.002) immediately after the intervention. However, no significant moderating effects were observed for any of the variables assessed (P>.05). The quality of evidence was rated as "moderate" for moderate to vigorous intensity PA and sedentary time outcomes and "low" for sleep outcomes.

CONCLUSIONS

eHealth interventions may be a promising strategy to increase PA, improve sleep, and reduce sedentary time among preschoolers. To effectively promote healthy behaviors in early childhood, it is imperative for future studies to prioritize the development of rigorous comparative trials with larger sample sizes. In addition, researchers should thoroughly examine the effects of potential moderators. There is also a pressing need to comprehensively explore the long-term effects resulting from these interventions.

TRIAL REGISTRATION

PROSPERO CRD42022365003; http://tinyurl.com/3nnfdwh3.

Effectiveness of parent-based electronic health (eHealth) intervention on physical activity, dietary behaviors, and sleep in preschoolers: A systematic review

Background

The lifestyles of preschoolers have become physically inactive and sedentary, their eating habits unhealthy, and their sleep routines increasingly disturbed. Parental involvement appears crucial to combat the unhealthy lifestyle of preschoolers. Because of the recognized barriers to traditional face-to-face interventions, easy access and lower costs make electronic health (eHealth) interventions appealing. However, whether parent-based eHealth intervention may be harnessed to improve the aforementioned lifestyle behaviors of preschoolers is currently unclear, a gap that this systematic review intends to address. This study aims to systematically review the current literature concerning the effectiveness of parent-based eHealth intervention on the physical activity, dietary behaviors, and sleep of preschoolers.

Method

This systematic review conforms to the Preferred Reporting Items for Systematic Reviews and Meta-analysis statement. Six databases (EMBASE, PubMed, MEDLINE, Web of Science, SPORTDiscus, and PsycINFO) were retrieved for the period from January 2000 to December 2022. Studies were eligible if 1 they were quantitative study design; 2 eHealth interventions in which parents were the change agents targeted children aged 3-6 years; 3 interventions examined the effectiveness of eHealth or incorporated eHealth as one of the intervention modalities; 4 at least one variable included in either primary or secondary outcome had to concentrate on the physical activity, diet, and sleep of preschoolers; 5 publication type was limited to the English language and peer-reviewed journal articles; 6 study settings were confined to family- or parent-based ones. The risk of bias was assessed, based upon Version 2 of the Cochrane risk-of-tool for randomized trials (RoB2).

Results

Twelve studies were screened. No significant group-by-time improvement in physical activity was found in studies related to physical activity outcomes. Two studies reported a significant difference between groups concerning motor ability, with one study indicating improved object control with the other reporting improvement in both object control and locomotor skills. Of the studies related to dietary behavior outcomes, six studies reported a significant difference at the posttest compared to the control group, in terms of vegetable and fruit intake, sugar-sweetened drinks, reduced candy consumption, and improved non-core food. Three studies reported a significant difference between groups in sleep duration at the end of the posttest, with the result of one study limited to preference-only participants. None of the reviewed studies found a significant difference between groups for sleep problems.

Conclusion

Parent-based eHealth interventions were not significantly effective in improving physical activity and reducing sleep problems in preschoolers, but the majority of studies have found that this type of intervention significantly improves the dietary behaviors and sleep duration of preschoolers. High-quality, robustly designed studies to balance the intervention dosage and sequence are needed to investigate the effectiveness of parent-based eHealth intervention on physical activity, dietary behaviors, and sleep in preschoolers, particularly those raised in other cultural background, which may significantly impact their lifestyle.

Trial registration

International Prospective Register of Systematic Review (PROSPERO): CRD42023418861.

Happy Family, Healthy Kids: A Healthy Eating and Stress Management Program in Low-Income Parent-Preschooler Dyads

BACKGROUND

Substantial effort has been invested to combat childhood obesity, but overall effects are disappointing, especially in low-income racial minority children. One possible reason is a lack of focus on the important stress-eating connection. Stress can negatively influence eating behaviors, leading to an increased appetite for high-fat and energy-dense foods.

OBJECTIVE

This study aimed to evaluate the preliminary effects of a healthy eating and stress management program targeting multiple theoretical variables on improving eating behavior (dyads' fruit/vegetable intake, emotional eating), food insecurity, anthropometric characteristics (dyads' body mass index, % body fat), cardiovascular health (dyads' blood pressure), and mental well-being (parental stress).

METHODS

A one-group, quasi-experimental pilot study was conducted among 107 low-income parent-preschooler dyads. The 14-week program included a parent component, a parent-preschooler learning component, and a day care-based preschooler component.

RESULTS

The program had positive effects on improving dyads' fruit/vegetable intake, food insecurity, body mass index, and blood pressure and parents' nutrition knowledge, self-efficacy, support, food resource management behavior, problem-focused coping, and home eating environment. The overall satisfaction rate was 95.2%, and 88.1% stated that the program assisted their families with having a healthy lifestyle.

DISCUSSION

Results support the preliminary effects of the program on improving health outcomes in rural and urban low-income families. Although warranting further investigation with a more rigorous randomized controlled trial, the healthy eating and stress management program provides a potential solution to the current coexistence of an obesity epidemic and mental health crisis.

Systems map of interventions to improve dietary intake of pre-school aged children: A scoping review

Implementation and sustaining impact of early childhood nutrition interventions in practice remains a challenge. An understanding of the extent to which determinants across multiple levels of the food system are being addressed may improve success. This literature review aimed to synthesise the evidence on interventions targeting dietary intake and eating behaviours in preschool children using a systems approach. Eligible studies included intervention studies targeting the dietary intake of preschool children aged 2-5 years in high income countries, published in English after January 2000. Interventions were categorised to the Determinants of Nutrition and Eating (DONE) framework for children developed and evaluated by experts across multiple fields. The framework maps and ranks 411 factors driving eating behaviours and nutrition and can be used to systematically summarise determinants. DONE ranks each determinant for its perceived research priority. A total of 160 eligible studies were identified. Most interventions targeted interpersonal (n = 101, 63.1%) and individual (n = 85, 53.1%) level determinants, with fewer targeting environmental (n = 55, 34.4%) and policy level (n = 17, 10.6%) determinants. The most frequently addressed determinants were Parental Resources and Risk Factors (n = 85) and Children's Food Knowledge, Skills and Abilities (n = 67). These determinants had a Moderate research priority rating. Home Food Availability and Accessibility at the environmental level is classified as the highest research priority, however, only 15 of 160 interventions addressed this determinant. This review highlights home food availability and accessibility as potential leverage points for future interventions to improve children's dietary intake and eating behaviours.

Effects of a Theory-Based, Multicomponent eHealth Intervention for Obesity Prevention in Young Children from Low-Income Families: A Pilot Randomized Controlled Study

The purpose of this study was to evaluate a theory-based, multicomponent eHealth intervention aimed at improving child health behaviors and parental psychosocial attributes and feeding practices. A pilot randomized controlled trial was conducted among 73 parents with children (1-3 years). Intervention group participants (IG, n = 37) received theory-based educational videos, cooking tutorials, and text messages with key information for a total of 8 weeks. Control group participants (CG, n = 36) received a booklet about general nutrition recommendations for children. A parent-administered questionnaire was used for data collection at baseline and post-intervention. Linear models were performed using R version 4.1.1. for data analysis. Children in the IG significantly increased their daily intake of fruit (ΔΔ = 0.89 servings, p = 0.00057) and vegetables (ΔΔ = 0.60 servings, p = 0.0037) and decreased use of screen time (ΔΔ = -33.87 min, p = 0.026), compared to the CG. Parents in the IG improved significantly more than the CG in self-efficacy (p = 0.0068) and comprehensive feeding practices (p = 0.0069). There were no significant differences between the study groups for changes in child outcomes, such as physical activity and sedentary behaviors, and parental nutrition knowledge and attitudes.

A Narrative Review of Dietary Assessment Tools for Preschool-Aged Children in the Home Environment

Preschool-aged children in the U.S. have suboptimal diets. Interventions to improve child nutrition focus on parents and their role in shaping social and physical home environments, which influence children's eating behaviors. Dietary assessment tools selected to measure intervention objectives, and how results are interpreted in key findings, are essential when examining children's diets. The objectives of this review were to (1) describe dietary assessment tools used in intervention studies in young children focused within the home environment; and (2) examine how the application of these dietary assessment tools addressed intervention objectives. PubMed and Web of Science were searched for English-language nutrition intervention studies that included children aged 2-5 years, had a home environment component, used a dietary assessment tool, and reported on diet-related outcomes. Seventeen studies were included. Intervention objectives focused on overall diet, specific food groups, eating occasions, and obesity prevention/treatment. Concordance of key findings with intervention objectives, type of tool used, and multiple tools within the same study varied with 8 studies aligning in objective and tool, 1 discordant in both, and 8 partially concordant or too broad to determine. This review highlights current challenges in measuring dietary intake in preschoolers and provides recommendations for alternative applications and strategies.

Online reach and engagement of a child nutrition peer-education program (PICNIC): insights from social media and web analytics

BACKGROUND

Parents frequently seek parental advice online and on social media; thus, these channels should be better utilized in child health interventions. The Parents in Child Nutrition Informing Community (PICNIC) program aims to facilitate peer-to-peer sharing of evidence-based child feeding information and support parents within their social networks. The present study aimed to explore web and social media analytics to evaluate reach and user engagement with the PICNIC online components.

METHODS

Online user activity data from the PICNIC Facebook closed group and public Page were collected through Facebook Insights, and program-specific website traffic data through Google Analytics. Analytics data from Nov-2019 to April-2021 was evaluated through visualisation and summary statistics to obtain insights into program growth and current reach in Australia, compare demographics of audience reached through the online channels, and explore parents' use and engagement in PICNIC content.

RESULTS

Results showed steady program growth in the 18 months of recruitment; participant numbers grew from 102 to 261 peer educators while the Facebook Page audience increased threefold, totalling 1615 followers. Intervention posts shared on Facebook (4-5 posts/week) typically reached only a portion of PICNIC Page followers each week, but also reached a wider audience through their friends. Throughout the evaluated period, Facebook users actively engaged in PICNIC posts, although the level of engagement varied considerably from post to post. Furthermore, results from this study suggest the strategy of directing potentially interested parents from social media to the website for program sign-up was successful. Finally, the explored data gave insights into users' availability, demographics and engagement, which will be used to inform refinement of the PICNIC website and social media strategies.

CONCLUSIONS

Our findings confirm the benefits of using a peer education approach and existing social network channels to disseminate evidence-based child feeding information to parents. This study also demonstrates the usefulness of web and social media analytics to be used as part of a continuous evaluation for gaining insight to inform further development and improvement of program strategies.

TRIAL REGISTRATION

The PICNIC project was retrospectively submitted for registration with the Australian New Zealand Clinical Trials Registry (ANZCTR), ACTRN12622000230752 (09/02/2022).

Digital Intervention Strategies for Increasing Physical Activity Among Preschoolers: Systematic Review

Background

Digital interventions are increasingly used to improve health behaviors. Improved access and lower costs (relative to in-person interventions) make such interventions appealing. Specifically, digital platforms may be a promising approach for increasing physical activity (PA) in young children.

Objective

The goal of this systematic review was three-pronged: (1) to determine the quality of studies using digital PA intervention strategies with preschool-aged children (ie, 3 to 5 years old); (2) to assess the efficacy of digital interventions and approaches designed to improve PA in preschool-aged children; and (3) to examine theoretical application and implementation outcomes with current approaches to digital PA interventions.

Methods

This review identified and summarized studies on digitally supported interventions for promoting PA in preschool-aged children. We generated 3 lists of relevant search terms that included technology-related terms, PA-related terms, and weight-related terms. The search included Ovid MEDLINE(R) and Epub Ahead of Print, In-Process & Other Non-Indexed Citations, and Daily, Ovid EMBASE, Ovid Cochrane Central Register of Controlled Trials, Ovid Cochrane Database of Systematic Reviews, and Scopus. Study selection was led by a single author and verified by a second; the same 2 authors assessed study quality using a standardized tool, and 3 authors completed data extraction on PA outcomes, theory application, and implementation outcomes.

Results

In total, 601 studies were identified; 8 met the inclusion criteria. For study quality, only 2 studies received an overall rating of strong quality and low risk of bias. All but 1 study had a small sample size (<100). Positive and significant changes in child PA outcomes were reported in only 2 studies with weak overall quality, both of which used child-directed approaches. In total, 5 studies applied a behavioral theory for designing the intervention; no patterns of effectiveness were identified based on the application of theory. Finally, no studies reported on the implementation outcomes of adoption, cost, penetration, or sustainability; 1 study did not assess any implementation outcomes, and no single study reported on more than 2 implementation outcomes. Studies measured the implementation outcome of acceptability most frequently (n=4), and researchers assessed fidelity in 3 studies.

Conclusions

The interventions with a significant effect on PA used child-centered activities; parent-directed digital interventions alone were ineffective for improving PA. Future research with rigorous designs, monitoring of implementation outcomes, and testing of the contributions of digital components will advance understanding of the effectiveness of digital interventions for increasing PA in children.

Identifying effective intervention strategies to reduce children's screen time: a systematic review and meta-analysis

BACKGROUND

Excessive screen time ([Formula: see text] 2 h per day) is associated with childhood overweight and obesity, physical inactivity, increased sedentary time, unfavorable dietary behaviors, and disrupted sleep. Previous reviews suggest intervening on screen time is associated with reductions in screen time and improvements in other obesogenic behaviors. However, it is unclear what study characteristics and behavior change techniques are potential mechanisms underlying the effectiveness of behavioral interventions. The purpose of this meta-analysis was to identify the behavior change techniques and study characteristics associated with effectiveness in behavioral interventions to reduce children's (0-18 years) screen time.

METHODS

A literature search of four databases (Ebscohost, Web of Science, EMBASE, and PubMed) was executed between January and February 2020 and updated during July 2021. Behavioral interventions targeting reductions in children's (0-18 years) screen time were included. Information on study characteristics (e.g., sample size, duration) and behavior change techniques (e.g., information, goal-setting) were extracted. Data on randomization, allocation concealment, and blinding was extracted and used to assess risk of bias. Meta-regressions were used to explore whether intervention effectiveness was associated with the presence of behavior change techniques and study characteristics.

RESULTS

The search identified 15,529 articles, of which 10,714 were screened for relevancy and 680 were retained for full-text screening. Of these, 204 studies provided quantitative data in the meta-analysis. The overall summary of random effects showed a small, beneficial impact of screen time interventions compared to controls (SDM = 0.116, 95CI 0.08 to 0.15). Inclusion of the Goals, Feedback, and Planning behavioral techniques were associated with a positive impact on intervention effectiveness (SDM = 0.145, 95CI 0.11 to 0.18). Interventions with smaller sample sizes (n < 95) delivered over short durations (< 52 weeks) were associated with larger effects compared to studies with larger sample sizes delivered over longer durations. In the presence of the Goals, Feedback, and Planning behavioral techniques, intervention effectiveness diminished as sample size increased.

CONCLUSIONS

Both intervention content and context are important to consider when designing interventions to reduce children's screen time. As interventions are scaled, determining the active ingredients to optimize interventions along the translational continuum will be crucial to maximize reductions in children's screen time.

Use and Effectiveness of Social-Media-Delivered Weight Loss Interventions among Teenagers and Young Adults: A Systematic Review

Obesity is a risk factor that exponentially increases morbidity and mortality in the world. Today, new health strategies are being implemented based on the use of social media but the use and effectiveness for these interventions needs to be assessed. The objective of this systematic review is to assess the impact of social-media-delivered weight loss interventions among teenagers and young adults. We searched PubMed, Scopus, Google Scholar, PsycINFO, and OVID to identify articles that focused on this topic. Fourteen studies were included in the final review. The commitment of the participants was found to be fundamental factor when assessing the impact of social-media-delivered weight loss interventions, but also the social context in which the interventions were carried out. Our study highlights the potential of social media platforms to address weight loss interventions among younger groups. The works evaluated showed the usefulness of social media for the adequate monitoring and control in these groups. Finally, the current variety of study designs in this field highlights the need for greater homogeneity in their methodology and applications, which is a fundamental step before these tools could be considered a suitable tool for overweight management in clinical practice.

Measurement of screen time among young children aged 0-6 years: A systematic review

The impact of screen-based devices on children's health and development cannot be properly understood without valid and reliable tools that measure screen time within the evolving digital landscape. This review aimed to summarize characteristics of measurement tools used to assess screen time in young children; evaluate reporting of psychometric properties; and examine time trends related to measurement and reporting of screen time. A systematic review of articles published in English across three databases from January 2009 to April 2020 was undertaken using PROSPERO protocol (registration: CRD42019132599) and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Included articles measured screen time as outcome, exposure, or confounder in children 0-6 years. The search identified 35,868 records, 1035 full-text articles were screened for eligibility, and 622 met inclusion criteria. Most measures (60%) consisted of one to three items and assessed duration of screen time on a usual day. Few measures assessed content (11%) or coviewing (7%). Only 40% of articles provided a citation for the measure, and only 69 (11%) reported psychometric properties-reliability n = 58, validity n = 19, reliability and validity n = 8. Between 2009 and 2019, the number of published articles increased from 28 to 71. From 2015, there was a notable increase in the proportion of articles published each year that assessed exposure to mobile devices in addition to television. The increasing number of published articles reflects increasing interest in screen time exposure among young children. Measures of screen time have generally evolved to reflect children's contemporary digital landscape; however, the psychometric properties of measurement tools are rarely reported. There is a need for improved measures and reporting to capture the complexity of children's screen time exposures.

Behavioural interventions delivered through interactive social media for health behaviour change, health outcomes, and health equity in the adult population

BACKGROUND

Social networking platforms offer a wide reach for public health interventions allowing communication with broad audiences using tools that are generally free and straightforward to use and may be combined with other components, such as public health policies. We define interactive social media as activities, practices, or behaviours among communities of people who have gathered online to interactively share information, knowledge, and opinions.

OBJECTIVES

We aimed to assess the effectiveness of interactive social media interventions, in which adults are able to communicate directly with each other, on changing health behaviours, body functions, psychological health, well-being, and adverse effects. Our secondary objective was to assess the effects of these interventions on the health of populations who experience health inequity as defined by PROGRESS-Plus. We assessed whether there is evidence about PROGRESS-Plus populations being included in studies and whether results are analysed across any of these characteristics.

SEARCH METHODS

We searched CENTRAL, CINAHL, Embase, MEDLINE (including trial registries) and PsycINFO. We used Google, Web of Science, and relevant web sites to identify additional studies and searched reference lists of included studies. We searched for published and unpublished studies from 2001 until June 1, 2020. We did not limit results by language.

SELECTION CRITERIA

We included randomised controlled trials (RCTs), controlled before-and-after (CBAs) and interrupted time series studies (ITSs). We included studies in which the intervention website, app, or social media platform described a goal of changing a health behaviour, or included a behaviour change technique. The social media intervention had to be delivered to adults via a commonly-used social media platform or one that mimicked a commonly-used platform. We included studies comparing an interactive social media intervention alone or as a component of a multi-component intervention with either a non-interactive social media control or an active but less-interactive social media comparator (e.g. a moderated versus an unmoderated discussion group). Our main outcomes were health behaviours (e.g. physical activity), body function outcomes (e.g. blood glucose), psychological health outcomes (e.g. depression), well-being, and adverse events. Our secondary outcomes were process outcomes important for behaviour change and included knowledge, attitudes, intention and motivation, perceived susceptibility, self-efficacy, and social support.

DATA COLLECTION AND ANALYSIS

We used a pre-tested data extraction form and collected data independently, in duplicate. Because we aimed to assess broad outcomes, we extracted only one outcome per main and secondary outcome categories prioritised by those that were the primary outcome as reported by the study authors, used in a sample size calculation, and patient-important.

MAIN RESULTS

We included 88 studies (871,378 participants), of which 84 were RCTs, three were CBAs and one was an ITS. The majority of the studies were conducted in the USA (54%). In total, 86% were conducted in high-income countries and the remaining 14% in upper middle-income countries. The most commonly used social media platform was Facebook (39%) with few studies utilising other platforms such as WeChat, Twitter, WhatsApp, and Google Hangouts. Many studies (48%) used web-based communities or apps that mimic functions of these well-known social media platforms. We compared studies assessing interactive social media interventions with non-interactive social media interventions, which included paper-based or in-person interventions or no intervention. We only reported the RCT results in our 'Summary of findings' table. We found a range of effects on health behaviours, such as breastfeeding, condom use, diet quality, medication adherence, medical screening and testing, physical activity, tobacco use, and vaccination. For example, these interventions may increase physical activity and medical screening tests but there was little to no effect for other health behaviours, such as improved diet or reduced tobacco use (20,139 participants in 54 RCTs). For body function outcomes, interactive social media interventions may result in small but important positive effects, such as a small but important positive effect on weight loss and a small but important reduction in resting heart rate (4521 participants in 30 RCTs). Interactive social media may improve overall well-being (standardised mean difference (SMD) 0.46, 95% confidence interval (CI) 0.14 to 0.79, moderate effect, low-certainty evidence) demonstrated by an increase of 3.77 points on a general well-being scale (from 1.15 to 6.48 points higher) where scores range from 14 to 70 (3792 participants in 16 studies). We found no difference in effect on psychological outcomes (depression and distress) representing a difference of 0.1 points on a standard scale in which scores range from 0 to 63 points (SMD -0.01, 95% CI -0.14 to 0.12, low-certainty evidence, 2070 participants in 12 RCTs). We also compared studies assessing interactive social media interventions with those with an active but less interactive social media control (11 studies). Four RCTs (1523 participants) that reported on physical activity found an improvement demonstrated by an increase of 28 minutes of moderate-to-vigorous physical activity per week (from 10 to 47 minutes more, SMD 0.35, 95% CI 0.12 to 0.59, small effect, very low-certainty evidence). Two studies found little to no difference in well-being for those in the intervention and control groups (SMD 0.02, 95% CI -0.08 to 0.13, small effect, low-certainty evidence), demonstrated by a mean change of 0.4 points on a scale with a range of 0 to 100. Adverse events related to the social media component of the interventions, such as privacy issues, were not reported in any of our included studies. We were unable to conduct planned subgroup analyses related to health equity as only four studies reported relevant data.

AUTHORS' CONCLUSIONS

This review combined data for a variety of outcomes and found that social media interventions that aim to increase physical activity may be effective and social media interventions may improve well-being. While we assessed many other outcomes, there were too few studies to compare or, where there were studies, the evidence was uncertain. None of our included studies reported adverse effects related to the social media component of the intervention. Future studies should assess adverse events related to the interactive social media component and should report on population characteristics to increase our understanding of the potential effect of these interventions on reducing health inequities.

Gamification for Family Engagement in Lifestyle Interventions: A Systematic Review

The majority of chronic conditions that plague the USA are modifiable by lifestyle change. Lifestyle interventions that incorporate family members for social support and that use game design elements to engage family members have the potential to improve upon traditional interventions, which have largely been unsustainable. Determining the populations where family member support in a lifestyle intervention are present and the extent of gamification of lifestyle intervention components that engage these family members is an important and underexplored area of work. A systematic review of lifestyle interventions involving family members were reviewed for game design elements using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework. Game design elements related to engaged learning and motivational affordances from previous literature were included. Sixty-one studies met inclusion criteria. These studies reported on 50 independent interventions that were reviewed. Thirty-one of these interventions addressed lifestyle in those with a chronic condition, and 19 addressed lifestyle in those at high risk for chronic conditions. The majority of the lifestyle interventions included at least one game design element, yet overall there were limited elements utilized together. Compared with successful gamified programs that have greatly impacted a population's health behaviors, there were relatively a limited number of elements reported, particularly those that support social relatedness, such as meaningful storylines. Meaningfulness of the game design elements chosen and their arrangement was not apparent. Technology was under-utilized as a potential modality for intervention component delivery. Developing products to train researchers to properly apply game design elements to intervention components, as well as test their effectiveness, are areas for future research.

Using Social Media to Understand Online Social Factors Concerning Obesity: A Systematic Review (Preprint)

Background

Evidence in the literature surrounding obesity suggests that social factors play a substantial role in the spread of obesity. Although social ties with a friend who is obese increase the probability of becoming obese, the role of social media in this dynamic remains underexplored in obesity research. Given the rapid proliferation of social media in recent years, individuals socialize through social media and share their health-related daily routines, including dieting and exercising. Thus, it is timely and imperative to review previous studies focused on social factors in social media and obesity.

Objective

This study aims to examine web-based social factors in relation to obesity research.

Methods

We conducted a systematic review. We searched PubMed, Association for Computing Machinery, and ScienceDirect for articles published by July 5, 2019. Web-based social factors that are related to obesity behaviors were studied and analyzed.

Results

In total, 1608 studies were identified from the selected databases. Of these 1608 studies, 50 (3.11%) studies met the eligibility criteria. In total, 10 types of web-based social factors were identified, and a socioecological model was adopted to explain their potential impact on an individual from varying levels of web-based social structure to social media users’ connection to the real world.

Conclusions

We found 4 levels of interaction in social media. Gender was the only factor found at the individual level, and it affects user’s web-based obesity-related behaviors. Social support was the predominant factor identified, which benefits users in their weight loss journey at the interpersonal level. Some factors, such as stigma were also found to be associated with a healthy web-based social environment. Understanding the effectiveness of these factors is essential to help users create and maintain a healthy lifestyle.

Childhood Obesity Evidence Base Project: A Systematic Review and Meta-Analysis of a New Taxonomy of Intervention Components to Improve Weight Status in Children 2-5 Years of Age, 2005-2019

Objective: To evaluate the efficacy of childhood obesity interventions and conduct a taxonomy of intervention components that are most effective in changing obesity-related health outcomes in children 2-5 years of age. Methods: Comprehensive searches located 51 studies from 18,335 unique records. Eligible studies: (1) assessed children aged 2-5, living in the United States; (2) evaluated an intervention to improve weight status; (3) identified a same-aged comparison group; (4) measured BMI; and (5) were available between January 2005 and August 2019. Coders extracted study, sample, and intervention characteristics. Effect sizes [ESs; and 95% confidence intervals (CIs)] were calculated by using random-effects models. Meta-regression was used to determine which intervention components explain variability in ESs. Results: Included were 51 studies evaluating 58 interventions (N = 29,085; mean age = 4 years; 50% girls). Relative to controls, children receiving an intervention had a lower BMI at the end of the intervention (g = 0.10, 95% CI = 0.02-0.18; k = 55) and at the last follow-up (g = 0.17, 95% CI = 0.04-0.30; k = 14; range = 18-143 weeks). Three intervention components moderated efficacy: engage caregivers in praise/encouragement for positive health-related behavior; provide education about the importance of screen time reduction to caregivers; and engage pediatricians/health care providers. Conclusions: Early childhood obesity interventions are effective in reducing BMI in preschool children. Our findings suggest that facilitating caregiver education about the importance of screen time reduction may be an important strategy in reducing early childhood obesity.

Can Parental Engagement in Social Media Enhance Outcomes of an Online Healthy Lifestyle Program for Preschool-Aged Children?

This study explored parental engagement, child BMI and secondary outcomes from the social media component of an online healthy lifestyle program for parents of preschool-aged children. Intervention group participants received access to an online program and Facebook group. Data were collected at baseline and 3- and 6-months follow-up. Facebook usage data on comments and posts were used to determine total active engagement. There was a high level of Facebook group membership and most parents actively engaged at least once. Although there were varying levels of engagement between modules and cohorts, it was modest overall. User acceptability of the Facebook group was lower than expected. Children of parents in the intervention who engaged more in the Facebook group (by posting and commenting) demonstrated greater sleep duration over time (estimate 1.79, 95% CI 0.42 to 3.17, p = .01) Children of parents who engaged more in the Facebook group also participated in less moderate- to vigorous-intensity physical activity (estimate -0.14, 95% CI -0.26 to -0.01, p = .03). This study is one of the first parent-focussed healthy lifestyle interventions to include a social media component. Further research is recommended with larger sample sizes and longer duration to further explore the potential of social media in childhood obesity interventions.

Behavior Change Techniques Included in Reports of Social Media Interventions for Promoting Health Behaviors in Adults: Content Analysis Within a Systematic Review

BACKGROUND

Social media are an increasingly commonly used platform for delivering health promotion interventions. Although recent research has focused on the effectiveness of social media interventions for health promotion, very little is known about the optimal content within such interventions, and the active ingredients to promote health behavior change using social media are not clear. Identifying which behavior change techniques (BCTs) are reported may help to clarify the content of interventions using a generalizable terminology that may facilitate future intervention development.

OBJECTIVE

This study aimed to identify which BCTs are reported in social media interventions for promoting health behavior change in adults.

METHODS

We included 71 studies conducted with adult participants (aged ≥18 years) and for which social media intervention was considered interactive in a Cochrane review of the effectiveness of such interventions. We developed a coding manual informed by the Behavior Change Technique Taxonomy version 1 (BCTTv1) to identify BCTs in the included studies. We identified BCTs in all study arms (including control) and described BCTs in the group and self-directed components of studies. We characterized the dose of delivery for each BCT by low and high intensity. We used descriptive analyses to characterize the reported BCTs.

RESULTS

Our data consisted of 71 studies published from 2001 to 2017, mainly conducted in high-income countries (n=65). Most studies (n=31) used tailored, interactive websites to deliver the intervention; Facebook was the most used mainstream platform. In developing our coding manual, we adapted some BCTTv1 instructions to better capture unique nuances of how BCTs were operationalized in social media with respect to likes, retweets, smiles, congratulations, and badges. Social support (unspecified), instruction on how to perform the behavior, and credible source were most frequently identified BCTs in intervention arms of studies and group-delivery settings, whereas instruction on how to perform the behavior was most commonly applied in self-directed components of studies, control arms, and individual participant settings. Instruction on how to perform the behavior was also the most frequently reported BCT in both intervention and control arms simultaneously. Instruction on how to perform the behavior, social support (unspecified), self-monitoring of behavior, information about health consequences, and credible source were identified in the top 5 BCTs delivered with the highest intensity.

CONCLUSIONS

This study within a review provides a detailed description of the BCTs and their dose to promote behavior change in web-based, interactive social media interventions. Clarifying active ingredients in social media interventions and the intensity of their delivery may help to develop future interventions that can more clearly build upon the existing evidence.

Parental Perceived Facilitators for and Barriers to Participating in a Lifestyle Intervention to Reduce Early Childhood Obesity: A Qualitative Evaluation

This study aimed to examine low-income mothers' perceived facilitators for and barriers to participating in a lifestyle intervention. A phenomenography approach was used to individually interview 14 mothers from Midwestern U.S. The data were analyzed using content analysis. Drawing on the socio-ecological model, mothers' perceived facilitators included (a) intrapersonal factors including providing helpful information, being accommodating, motivating, and novel; (b) interpersonal factors, including two-way communication between mothers and preschoolers, social connectedness among mothers, and a positive relationship between mothers and researchers; and (c) environmental factors, including kid-friendly, and pleasant and comfortable intervention sites. Mothers' reported barriers were intrapersonal factors including (a) use of technology due to unreliable Wi-Fi access and unfamiliarity of electronic device, (b) being "busy moms" due to busy schedules and stressful daily lives, and (c) lack of reliable transportation. Future interventions to reduce early childhood obesity among low-income families should consider these identified facilitators and barriers.

mHealth Improved Fruit and Vegetable Accessibility and Intake in Young Children

OBJECTIVE

To explore the potential of mHealth using smartphones to improve fruit and vegetable intake in children.

DESIGN

A 10-week randomized control and intervention pilot study.

SETTING

Story time sessions at local libraries.

PARTICIPANTS

A convenience sample of 30 parents and children (aged 3-8 years).

INTERVENTION

Delivery of nutrition intervention through the mobile Jump2Health website, Facebook posts, and text messages.

MAIN OUTCOME MEASURES

Electronic food photos of children's meals and snacks, 10-question survey related to fruit and vegetable consumption, reflectance spectroscopy via Veggie Meter to measure skin carotenoid levels, body mass index percentiles, and a mobile learning survey.

ANALYSIS

Descriptive statistics and Wilcoxon matched-pairs signed-rank test.

RESULTS

Veggie Meter values for children and parents showed significant week × treatment interactions in the intervention group compared with the control group for both children (P < .001 and parents (P < .001).

CONCLUSIONS AND IMPLICATIONS

This pilot study offers a potentially effective program including a mobile Web site, social media, and test message components to increase fruit and vegetable intake of young children.

Facebook Recruitment and the Protection of Human Subjects

Social and behavioral scientists increasingly use Facebook to recruit research participants. Given the everchanging social media landscape, it is important to consider the ethical principles of using such a strategy. The aims of this methodological article are to (a) examine Facebook recruitment in light of the ethical principles of the Belmont Report (respect for persons, beneficence, and justice), (b) describe ethical challenges that may be faced in Facebook recruitment, and (c) provide recommendations for researchers interested in adopting this recruitment method. Ethical challenges inherent in Facebook recruitment include selecting subjects fairly, privacy, and data security. Overall, Facebook is a beneficial resource for recruiting participants into research; however, researchers need to be aware of their responsibility in protecting human subjects.