Design of a Digital-Based, Multicomponent Nutrition Guidance System for Prevention of Early Childhood Obesity

The Effect of Educational Intervention Based on Theory of Planned Behavior Approach on Complementary Feeding: A Randomized Controlled Trial

Complementary feeding should be given to infants at 6 months in addition to breastmilk. Mothers' knowledge and behavior in giving adequate complementary feeding are crucial to prevent malnutrition risk. During the pandemic, conventional nutrition education cannot be maintained and could lead to decreased mothers' knowledge. This study is aimed at analyzing the effectiveness of nutrition education using online digital platforms (WhatsApp) to improve a mother's behavior in providing nutritious complementary food based on the theory of planned behavior approach. This was a quasiexperiment with one pretest and posttest design group in the form of education and counselling. Ten educational sessions were developed to improve one or more TPB constructs. Media used for education are PowerPoint, text description, posters, and video tutorials; it is implemented by sending materials through the WhatsApp application. Using 80% power, the sample size was calculated for 155 subjects. Subjects were recruited through the accidental sampling method. Data was collected by the online method using a validated open-ended self-developed questionnaire for knowledge, while attitude, subjective norms, intention, and self-efficacy were measured using a Likert-scale questionnaire, where participants rated the strength of their belief that they could engage in a specific task. The paired t-test was used to analyze the difference in outcomes measured. The response rate of this study was accounted for at 77.5%. The mean age of mothers was 28.2 years old; most of them were university graduates (80.2%) and working as private sector workers (40.0%). The average child's age was 6.6 months old. 78.2% of children were exclusively breastfed. Our study revealed that 10 sessions of nutrition education and counselling covered over 8 days increased the mother's knowledge (60.0 ± 15.5 vs. 80.3 ± 15.0, respectively, before and after education; p < 0.005) and resulted in psychological changes including mother's attitude (64.3 ± 4.9 vs. 65.8 ± 3.9), subjective norm (3.76 ± 0.9 vs. 3.87 ± 1.0), perceived behavioral control (3.78 ± 0.9 vs. 4.12 ± 0.12), self-efficacy (63.3 ± 22.5 vs. 77.5 ± 19.2), and intention toward giving nutritious complementary feeding (4.11 ± 1.0 vs. 4.30 ± 0.9; p < 0.005). WhatsApp nutrition education proved to be effective in improving the mother's knowledge and behavior in providing nutritious complementary food; thus, it has potential for use. In the future, the Ministry of Health from the district to the national level could implement this type of education as an alternative of conventional nutrition education through scheduled classes.

Hidden Realities of Infant Feeding: Systematic Review of Qualitative Findings from Parents

A growing, global conversation, regarding realities and challenges that parents experience today is ever-present. To understand recent parent's attitudes, beliefs, and perceptions regarding infant feeding, we sought to systematically identify and synthesize original qualitative research findings. Following the Enhancing Transparency in Reporting the Synthesis of Qualitative Research (ENTREQ) framework, electronic databases were searched with a priori terms applied to title/abstract fields and limited to studies published in English from 2015 to 2019, inclusive. Study quality assessment was conducted using the Critical Appraisal Skills Programme (CASP) checklist, and thematic analyses performed. Of 73 studies meeting inclusion criteria, four major themes emerged. (1) Breastfeeding is best for an infant; (2) Distinct attitudes, beliefs, and perceptions of mothers that breastfeed, and those that could not or chose not to breastfeed, are evident; (3) Infant feeding behaviors are influenced by the socio-cultural environment of the family, and (4) Parent's expectations of education and support addressing personal infant feeding choices from health care providers are not always met. This systematic review, guided by constructs within behavioral models and theories, provides updated findings to help inform the development of nutrition education curricula and public policy programs. Results can be applied within scale-up nutrition and behavioral education interventions that support parents during infant feeding.

A Mixed Methods Study to Explore the Effects of Program Design Elements and Participant Characteristics on Parents' Engagement With an mHealth Program to Promote Healthy Infant Feeding: The Growing Healthy Program

Purpose: Mobile health (mHealth) interventions have great potential to promote health. To increase consumer engagement in mHealth interventions it is necessary to address factors that influence the target demographic. The Growing healthy (GH) program is the first obesity prevention program delivered via a smartphone app and website offering evidence-based information on infant feeding from birth until 9 months of age. This sub-study aimed to explore how the design features, quality of the app and participant characteristics influenced parents' engagement with the GH app. Methods: A sequential mixed methods design was used. The GH app participants (225/301) were considered for this sub-study. Participant app engagement was measured through a purpose-built Engagement Index (EI) using app metrics. Participants were categorized as low, moderately or highly engaged based on their EI score upon completing the 9 months program and were then invited to participate in semi-structured telephone interviews. Participants who used the app program, given an EI score and expressed interest to participate in these interviews were eligible. The interviews explored factors that influenced app engagement including delivery features and quality. Thematic analysis networks was used for analysis. Results: 108/225 expressed interest and 18 interviews were conducted from low (n = 3), moderately (n = 7), or highly (n = 8) engaged participants based on purposeful sampling. Participants defined as highly engaged were likely to be a first-time parent, felt the app content to be trustworthy and the app design facilitated easy navigation and regularly opened the push notifications. Participants defined as having low or moderate engagement were likely to have experience from previous children, felt they had sufficient knowledge on infant feeding and the app did not provide further information, or experienced technological issues including app dysfunction due to system upgrades. Conclusions/Implications: This study demonstrated a novel approach to comprehensively analyse engagement in an mHealth intervention through quantitative (Engagement Index) and qualitative (interviews) methods. It provides an insight on maximizing data collected from these programs for measuring effectiveness and to understand users of various engagement levels interaction with program features. Measuring this can determine efficacy and refine programs to meet user requirements.

Prospects for early childhood feeding interventions: An exploration of parent's concerns and acceptability towards social media intervention opportunities

AIM

The present study aims to (i) consult with parents regarding child feeding concerns, as relevant to child feeding interventions, (ii) determine parents' willingness to participate in online and social media-based interventions and (iii) determine differences in intervention acceptability based on geographic diversity and demographic characteristics.

METHODS

Three hundred thirty Australian parents of children (2.0-5.0 years) with child feeding concerns participated in an online, cross-sectional survey. Kruskal-Wallis with Dunn's multiple-comparison test, using Bonferroni adjustment, was used to compare differences between variables and participants characteristics (region of residence, parent age, parent education and income).

RESULTS

About 53.9% of respondents were concerned about child fussy eating, with lack of time and child tantrums common barriers to addressing concerns. Respondents indicated that a combination of online platforms (websites, email, Facebook) was their preferred method of intervention participation, although, a combination of online and face-to-face methods also had modest preference, particularly among lower educated parents. Participants indicated that they would participate in an online intervention (participating once a week) for more than 12 weeks (42.7%), compared with only 4 weeks (participating once a week) for traditionally delivered interventions. About 32.4% of respondents said they would be concerned about their privacy in an online intervention.

CONCLUSIONS

Fussy eating is likely to be an appealing focus for future child feeding interventions, with strategies to address common barriers an important curriculum area. Online interventions are likely to offer an acceptable and plausible alternative to traditional interventions that are able to reach geographically diverse populations, although face-to-face intervention components still hold appeal.

Key Lessons and Impact of the Growing Healthy mHealth Program on Milk Feeding, Timing of Introduction of Solids, and Infant Growth: Quasi-Experimental Study

Background

The first year of life is an important window to initiate healthy infant feeding practices to promote healthy growth. Interventions delivered by mobile phone (mHealth) provide a novel approach for reaching parents; however, little is known about the effectiveness of mHealth for child obesity prevention.

Objective

The objective of this study was to determine the feasibility and effectiveness of an mHealth obesity prevention intervention in terms of reach, acceptability, and impact on key infant feeding outcomes.

Methods

A quasi-experimental study was conducted with an mHealth intervention group (Growing healthy) and a nonrandomized comparison group (Baby’s First Food). The intervention group received access to a free app and website containing information on infant feeding, sleep and settling, and general support for parents with infants aged 0 to 9 months. App-generated notifications directed parents to age-and feeding-specific content within the app. Both groups completed Web-based surveys when infants were less than 3 months old (T1), at 6 months of age (T2), and 9 months of age (T3). Survival analysis was used to examine the duration of any breastfeeding and formula introduction, and cox proportional hazard regression was performed to examine the hazard ratio for ceasing breast feeding between the two groups. Multivariate logistic regression with adjustment for a range of child and parental factors was used to compare the exclusive breastfeeding, formula feeding behaviors, and timing of solid introduction between the 2 groups. Mixed effect polynomial regression models were performed to examine the group differences in growth trajectory from birth to T3.

Results

A total of 909 parents initiated the enrollment process, and a final sample of 645 parents (Growing healthy=301, Baby’s First Food=344) met the eligibility criteria. Most mothers were Australian born and just under half had completed a university education. Retention of participants was high (80.3%, 518/645) in both groups. Most parents (226/260, 86.9%) downloaded and used the app; however, usage declined over time. There was a high level of satisfaction with the program, with 86.1% (143/166) reporting that they trusted the information in the app and 84.6% (170/201) claiming that they would recommend it to a friend. However, some technical problems were encountered with just over a quarter of parents reporting that the app failed to work at times. There were no significant differences between groups in any of the target behaviors. Growth trajectories also did not differ between the 2 groups.

Conclusions

An mHealth intervention using a smartphone app to promote healthy infant feeding behaviors is a feasible and acceptable mode for delivering obesity prevention intervention to parents; however, app usage declined over time. Learnings from this study will be used to further enhance the program so as to improve its potential for changing infant feeding behaviors.

Early food for future health: a randomized controlled trial evaluating the effect of an eHealth intervention aiming to promote healthy food habits from early childhood

Background

Childhood overweight and obesity is a global public health challenge. Primary prevention initiatives targeting parents have been called for to encourage a positive feeding environment and healthy eating habits that may lay a good foundation for future health. At the same time, there is a need for interventions which combine accessibility and scalability with cost effectiveness.

Today’s parents are extensive Internet-users, but only a few randomized controlled trials have investigated the use of Internet to promote healthy eating habits in early childhood. In Early Food for Future Health we have developed and will evaluate an Internet-based tool for parents of children between 6 and 12 months, aiming to increase knowledge about infant nutrition and foster protective feeding behavior.

Methods

During springtime 2016, parents of children aged between 3 and 5 months were recruited through Norwegian child health centres and announcements on Facebook. After completing the baseline questionnaire, 718 parents were individually randomized to intervention- or control group. The intervention group received monthly emails with links to an age-appropriate web-site when their child was between 6 and 12 months. The control group received ordinary care from the child health centres.

The data-collection is ongoing. All participants will be followed up at ages 12 and possibly 24 and 48 months, with questionnaires relating to eating behaviour and feeding practices, food variety and diet quality.

Discussion

Providing guidance and counseling to parents of infants is an important task for health authorities and the public child health services. Early Food for Future health is an intervention focusing on promoting early healthy food-habits which may prevent childhood overweight and obesity. If proven to be effective, Early Food for Future Health can be used by parents and public health nurses for supplementary guidance on feeding practices and diet.

This study has the potential to provide greater insight and understanding regarding early parental feeding practices, child eating behavior and the development and efficacy of Internet-based public health interventions.

Trial registration

ISRCTN13601567.

Assessing User Engagement of an mHealth Intervention: Development and Implementation of the Growing Healthy App Engagement Index

BACKGROUND

Childhood obesity is an ongoing problem in developed countries that needs targeted prevention in the youngest age groups. Children in socioeconomically disadvantaged families are most at risk. Mobile health (mHealth) interventions offer a potential route to target these families because of its relatively low cost and high reach. The Growing healthy program was developed to provide evidence-based information on infant feeding from birth to 9 months via app or website. Understanding user engagement with these media is vital to developing successful interventions. Engagement is a complex, multifactorial concept that needs to move beyond simple metrics.

OBJECTIVE

The aim of our study was to describe the development of an engagement index (EI) to monitor participant interaction with the Growing healthy app. The index included a number of subindices and cut-points to categorize engagement.

METHODS

The Growing program was a feasibility study in which 300 mother-infant dyads were provided with an app which included 3 push notifications that was sent each week. Growing healthy participants completed surveys at 3 time points: baseline (T1) (infant age ≤3 months), infant aged 6 months (T2), and infant aged 9 months (T3). In addition, app usage data were captured from the app. The EI was adapted from the Web Analytics Demystified visitor EI. Our EI included 5 subindices: (1) click depth, (2) loyalty, (3) interaction, (4) recency, and (5) feedback. The overall EI summarized the subindices from date of registration through to 39 weeks (9 months) from the infant's date of birth. Basic descriptive data analysis was performed on the metrics and components of the EI as well as the final EI score. Group comparisons used t tests, analysis of variance (ANOVA), Mann-Whitney, Kruskal-Wallis, and Spearman correlation tests as appropriate. Consideration of independent variables associated with the EI score were modeled using linear regression models.

RESULTS

The overall EI mean score was 30.0% (SD 11.5%) with a range of 1.8% - 57.6%. The cut-points used for high engagement were scores greater than 37.1% and for poor engagement were scores less than 21.1%. Significant explanatory variables of the EI score included: parity (P=.005), system type including "app only" users or "both" app and email users (P<.001), recruitment method (P=.02), and baby age at recruitment (P=.005).

CONCLUSIONS

The EI provided a comprehensive understanding of participant behavior with the app over the 9-month period of the Growing healthy program. The use of the EI in this study demonstrates that rich and useful data can be collected and used to inform assessments of the strengths and weaknesses of the app and in turn inform future interventions.