The affordability of a healthy and sustainable diet: an Australian case study.

BACKGROUND/AIMS: EAT-Lancet Commission's Planetary Health Diet proposed a diet that integrates nutrition and sustainability considerations, however its affordability is unknown in many country-specific contexts, including Australia. The aim of this study is to develop a healthy and sustainable food basket modelled on the Planetary Health Diet to determine the affordability of the Planetary Health Diet basket across various socio-economic groups, and compare this affordability with a food basket modelled on the typical current diet, in an Australian setting. METHODS: An Australian-specific Planetary Health Diet basket was developed for a reference household (2 adults and 2 children) modelled on the Planetary Health Diet reference diet, and compared to a previously-developed Typical Australian Diet basket. The cost of each food basket was determined by online supermarket shopping surveys in low, medium and high socio-economic areas in each Australian state. Basket affordability was determined for the reference household by comparing the basket cost to disposable income in each socio-economic group in each state. Mann-Whitney U tests then determined if there were significant differences between the median costs and the median affordability of both baskets. RESULTS: The Planetary Health Diet basket was shown to be less expensive and more affordable than the Typical Australian Diet basket nationally, in all metropolitan areas, in all socio-economic groups across Australia (median cost: Planetary Health Diet = AUD$188.21, Typical Australian Diet = AUD$224.36; median affordability: Planetary Health Diet = 13%, Typical Australian Diet = 16%; p = < 0.05). CONCLUSIONS: This study showed the Planetary Health Diet to be more affordable than the Typical Australian Diet for metropolitan-dwelling Australians. IMPLICATIONS: These results can help to inform public health and food policy aimed at achieving a healthy and sustainable future for all Australians, including reductions in overweight/obesity rates and increased food security.

Professional and non-professional sources of formula feeding advice for parents in the first six months.

Breastfeeding is beneficial to both the mother and infant, yet many infants are either partially or fully fed with formula milk. Those parents feeding with formula receive less support from professional sources than those breastfeeding and may rely on more non-professional sources for advice, and this contributes to negative emotional experiences such as guilt. This paper explores the sources of advice for formula feeding, factors associated with using professional or non-professional sources and compares these sources with those used for breastfeeding advice. A secondary analysis of Australian survey data from 270 mothers was performed. Mothers of six-month-old infants participated in an online survey, providing information on advice they received or read about formula feeding and/or breastfeeding from professional and non-professional sources. A fifth of mothers who were formula feeding did not receive any formula feeding advice from professional sources, and only a small fraction (4.5%) of mothers breastfeeding did not received any breastfeeding advice from professional sources. Compared with those mothers breastfeeding receiving breastfeeding advice, fewer mothers formula feeding receive formula feeding advice from both professional and non-professional sources. The tin of formula was the most used source of formula advice. Mothers feeding with formula at six months were more likely to have received formula feeding advice from professional sources if they had been fully formula feeding before their infant was under the age of three months. Further research is needed to understand the specific barriers to accessing formula feeding advice and what other factors influence access to formula feeding advice.

Infant formula feeding practices and the role of advice and support: an exploratory qualitative study.

BACKGROUND: Infant formula feeding practices are an important consideration for obesity prevention. An infant's diet is influential on their later risk of developing overweight or obesity, yet very little is known about infant formula feeding practices. It is plausible that certain modifiable practices may put children at higher risk of developing overweight or obesity, for example how much and how often a baby is fed. Understanding how parents use infant formula and what factors may influence this practice is therefore important. Moreover, parents who feed their infants formula have identified a lack of support and access to resources to guide them. Therefore this study aimed to explore parents' infant formula feeding practices to understand how parents use infant formula and what factors may influence this practice. METHODS: Using an explorative qualitative design, data were collected using semi-structured telephone interviews and analysed using a pragmatic inductive approach to thematic analysis. RESULTS: A total of 24 mothers from across Australia were interviewed. Mothers are influenced by a number of factors in relation to their infant formula feeding practice. These factors include information on the formula tin and marketing from formula manufacturers, particularly in relation to choosing the type of formula. Their formula feeding practices are also influenced by their interpretation of infant cues, and the amount of formula in the bottle. Many mothers would like more information to aid their practices but barriers exist to accessing health professional advice and support, so mothers may rely on informal sources. Some women reported that the social environment surrounding infant feeding wherein breastfeeding is promoted as the best option leads a feeling of stigma when formula feeding. CONCLUSIONS: Additional support for parents' feeding their infants with formula is necessary. Health professionals and policy around infant formula use should include how formula information may be provided to parents who use formula in ways that do not undermine breastfeeding promotion. Further observational research should seek to understand the interaction between advice, interpretation of cues and the amount formula fed to infants.

Parental feeding practices associated with children's eating and weight: What are parents of toddlers and preschool children doing?

Parental feeding practices are associated with children's eating behaviours and weight, yet current use of such practices lacks detailed description. This limits our understanding of which behaviours to target to promote healthy growth. We explored the frequency with which a range of parental feeding practices occurs in mothers of toddler and preschool children. Combined data from four Australasian trials of healthy feeding and growth were utilized, each using the Comprehensive Feeding Practices Questionnaire (CFPQ). Data were included from mothers of toddlers (1.3-2 years; n = 1344) and preschool children (4-6 years; n = 795). Means and standard deviations for each CFPQ dimension were calculated for the two age groups. Scores were categorised by frequency, and percentages in each category calculated. Linear regression analysis determined associations between socio-demographics and feeding practices. In both age groups, mothers reported extensive use of some CFPQ dimensions including modelling, encouraging balance and variety, and healthy food environment (between 84% and 100% reported using these practices 'usually' to 'often'). Greater variation existed for other practices including pressure to eat and restriction for health. Food as a reward and pressure to eat were used more with preschool children (M = 2.5, SD = 1.0 and M = 3.1 SD = 0.9) than with toddlers (M = 1.7, SD = 0.8 and M = 2.5 SD = 0.9). For both age groups, mothers' age, education, SEP and BMI category, or the child's BMI, sex, or age predicted use of some feeding practices. Feeding practices such as modelling and providing a healthy food environment are important, but interventions are unlikely to detect effects as most parents report following best practice. In contrast, given greater variability in reported use of other feeding practices like pressure to eat and restriction for health these constructs may be more likely to detect change.

Infant formula feeding practices associated with rapid weight gain: A systematic review.

Excess or rapid weight gain during the first 2 years of life is associated with an increased risk of later childhood and adult overweight and obesity. When compared with breastfed infants, formula fed infants are more likely to experience excess or rapid weight gain, and this increased risk in formula fed infant populations may be due to a number of different mechanisms. These mechanisms include the nutrient composition of the formula and the way formula is prepared and provided to infants. This systematic literature review examines the association between formula feeding practice and excess or rapid weight gain. This review explores these different mechanisms and provides practical recommendations for best practice formula feeding to reduce rapid weight gain. Eighteen studies are included in this review. The findings are complicated by the challenges in study design and accuracy of measurements. Nevertheless, there are some potential recommendations for best practice formula feeding that may reduce excess or rapid weight gain, such as providing formula with lower protein content, not adding cereals into bottles, not putting a baby to bed with a bottle, and not overfeeding formula. Although further well designed studies are required before more firm recommendations can be made.

Effects of parent and child behaviours on overweight and obesity in infants and young children from disadvantaged backgrounds: systematic review with narrative synthesis.

BACKGROUND: Despite the crucial need to develop targeted and effective approaches for obesity prevention in children most at risk, the pathways explaining socioeconomic disparity in children's obesity prevalence remain poorly understood. METHODS: We conducted a systematic review of the literature that investigated causes of weight gain in children aged 0-5 years from socioeconomically disadvantaged or Indigenous backgrounds residing in OECD countries. Major electronic databases were searched from inception until December 2015. Key words identified studies addressing relationships between parenting, child eating, child physical activity or sedentary behaviour and child weight in disadvantaged samples. RESULTS: A total of 32 articles met the inclusion criteria. The Mixed Methods Appraisal Tool quality rating for the studies ranged from 25 % (weak) to 100 % (strong). Studies predominantly reported on relationships between parenting and child weight (n = 21), or parenting and child eating (n = 12), with fewer (n = 8) investigating child eating and weight. Most evidence was from socio-economically disadvantaged ethnic minority groups in the USA. Clustering of diet, weight and feeding behaviours by socioeconomic indicators and ethnicity precluded identification of independent effects of each of these risk factors. CONCLUSIONS: This review has highlighted significant gaps in our mechanistic understanding of the relative importance of different aspects of parent and child behaviours in disadvantaged population groups.

A qualitative study of the infant feeding beliefs and behaviours of mothers with low educational attainment.

BACKGROUND: Infancy is an important period for the promotion of healthy eating, diet and weight. However little is known about how best to engage caregivers of infants in healthy eating programs. This is particularly true for caregivers, infants and children from socioeconomically disadvantaged backgrounds who experience greater rates of overweight and obesity yet are more challenging to reach in health programs. Behaviour change interventions targeting parent-infant feeding interactions are more likely to be effective if assumptions about what needs to change for the target behaviours to occur are identified. As such we explored the precursors of key obesity promoting infant feeding practices in mothers with low educational attainment. METHODS: One-on-one semi-structured telephone interviews were developed around the Capability Opportunity Motivation Behaviour (COM-B) framework and applied to parental feeding practices associated with infant excess or healthy weight gain. The target behaviours and their competing alternatives were (a) initiating breastfeeding/formula feeding, (b) prolonging breastfeeding/replacing breast milk with formula, (c) best practice formula preparation/sub-optimal formula preparation, (d) delaying the introduction of solid foods until around six months of age/introducing solids earlier than four months of age, and (e) introducing healthy first foods/introducing unhealthy first foods, and (f) feeding to appetite/use of non-nutritive (i.e., feeding for reasons other than hunger) feeding. The participants' education level was used as the indicator of socioeconomic disadvantage. Two researchers independently undertook thematic analysis. RESULTS: Participants were 29 mothers of infants aged 2-11 months. The COM-B elements of Social and Environmental Opportunity, Psychological Capability, and Reflective Motivation were the key elements identified as determinants of a mother's likelihood to adopt the healthy target behaviours although the relative importance of each of the COM-B factors varied with each of the target feeding behaviours. CONCLUSIONS: Interventions targeting healthy infant feeding practices should be tailored to the unique factors that may influence mothers' various feeding practices, taking into account motivational and social influences.

Why don't they like that? And can I do anything about it? The nature and correlates of parents' attributions and self-efficacy beliefs about preschool children's food preferences.

Children's food preferences influence their food intakes, which then have important effects on their health status. Presently little is understood about the aetiology of children's food preferences within families. Parental beliefs are important in many domains of socialisation although their role in the development of children's food preferences has seldom been investigated. Parents of 2-5 year old children participated in semi-structured qualitative interviews, which were analysed with content analysis. The parents either had children with healthy food preferences (i.e. closely aligned with dietary guidelines) (N=20), unhealthy food preferences (i.e. not closely aligned with dietary guidelines) (N=18), or high levels of food neophobia (N=19). Parents described their beliefs about why children like and dislike foods (their attributions) and their ability to influence children's food preferences (their self-efficacy). Children's food preferences were attributed to (a) the influence of children's characteristics (e.g. food neophobia level and personality), (b) sensory attributes of foods (e.g. texture and appearance), and (c) socialisation experiences (e.g. peer modelling and parental feeding behaviours). Results provide preliminary evidence of differences in parents' attributions and self-efficacy beliefs in the feeding domain and highlight the need for greater understanding of the ways in which parents' beliefs affect children's food preferences.

Identifying ideal product composition of chocolate-flavored milk using preference mapping.

The World Health Organization (WHO) recommends cutting down added sugar in processed foods and beverages. There is a growing concern for increased calorie intake from added sugar in flavored milk. To understand how to effectively reduce added sugar in flavored milk, the influence of other nutritional components such as percentage of fat, protein, and salt need to be accounted for as they are the determinants for color, flavor and mouthfeel attributes that ultimately influence consumer liking. Therefore, this study aims to identify the ideal product composition of commercial chocolate flavored milk samples and to link the existing variations to consumers' liking data using External Preference Mapping (EPM). Thirty-four commercial chocolate milk samples systematically varying in compositional profile (sugar, fat, protein, salt, stabilizer and sweetener) were analysed by Principal Component Analysis (PCA) with a subset of 10 chocolate milk samples varying in product composition (fat, protein, salt and sugar) selected for consumer evaluation. Consumers (n = 235) evaluated these 10 chocolate milk samples for overall liking using a 9-point hedonic scale. Significant differences (p < 0.0001) were observed in the hedonic ratings of these 10 samples, and consumers were grouped into four clusters using Hierarchical Cluster Analysis (HCA), each cluster showing a preference for different products. EPM was applied to the consumer liking data to reveal the ideal product composition of chocolate milk acceptability. Chocolate milk samples 4 (OAK chocolate) and 6 (OAK thick death by chocolate) with 10.6%-10.9% sugar, 3.4%-3.5% fat, 3.5%-3.6% protein and 0.05% salt were identified to have the highest appeal satisfying between 70% and 80% of consumers assessed. PRACTICAL APPLICATION: The results of this research could be applied for the reformulation of a new product to ensure that the product composition including sugar concentration is critical to influencing the sensory perception and consumer acceptance of the product. In addition, the results provide an ideal product composition along with sugar concentration that can be used as a standard or control mark for sugar reduction target.

Sugar Reduction in Dairy Food: An Overview with Flavoured Milk as an Example.

Owing to the public health concern associated with the consumption of added sugar, the World Health Organization recommends cutting down sugar in processed foods. Furthermore, due to the growing concern of increased calorie intake from added sugar in sweetened dairy foods, the present review provides an overview of different types and functions of sugar, various sugar reduction strategies, and current trends in the use of sweeteners for sugar reduction in dairy food, taking flavoured milk as a central theme where possible to explore the aforementioned aspects. The strength and uniqueness of this review are that it brings together all the information on the available types of sugar and sugar reduction strategies and explores the current trends that could be applied for reducing sugar in dairy foods without much impact on consumer acceptance. Among different strategies for sugar reduction, the use of natural non-nutritive sweeteners (NNSs), has received much attention due to consumer demand for natural ingredients. Sweetness imparted by sugar can be replaced by natural NNSs, however, sugar provides more than just sweetness to flavoured milk. Sugar reduction involves multiple technical challenges to maintain the sensory properties of the product, as well as to maintain consumer acceptance. Because no single sugar has a sensory profile that matches sucrose, the use of two or more natural NNSs could be an option for food industries to reduce sugar using a holistic approach rather than a single sugar reduction strategy. Therefore, achieving even a small sugar reduction can significantly improve the diet and health of an individual.

The Influence of Taste Liking on the Consumption of Nutrient Rich and Nutrient Poor Foods.

Repeated consumption of high-energy nutrient poor foods can lead to undesirable health outcomes such as obesity. Taste plays an important role in food choice, and a better understanding of the links between the taste of foods, individual taste preferences, food choices, and intakes will aid in our understanding of why some people might select and consume unhealthy foods. The present review focuses on three main questions: (1) do nutrient poor and nutrient rich foods significantly differ in taste profile? (2) are humans predisposed toward developing a liking or preference for certain taste profiles? (3) how are individual variations in liking of the basic taste qualities related to long term food intake and adverse health outcomes such as obesity? Results indicated that nutrient poor foods were likely to be sweet, salty and fatty mouthfeel, while the taste profiles of nutrient rich foods were diverse. Although humans are born with a universal liking for sweet and aversion for bitter taste, large individual differences exist in liking of all the basic taste qualities. These individual differences partly explain differences in short term intakes of foods varying in taste profiles. However they fail to sufficiently explain long term food choices and negative health outcomes such as obesity. Future studies should focus on how the full sensory profile of food which includes taste, smell and texture interacts with individual characteristics (e.g., taste or health motivations, taste preferences) to affect consumption of nutrient rich and nutrient poor foods.

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.

A population-based study of preschoolers' food neophobia and its associations with food preferences.

OBJECTIVE: This cross-sectional study was designed to investigate the relationships between food preferences, food neophobia, and children's characteristics among a population-based sample of preschoolers. DESIGN: A parent-report questionnaire. SETTING: Child-care centers, kindergartens, playgroups, day nurseries, and swimming centers. SUBJECTS: 371 two- to five-year-old Australian children. OUTCOME MEASURES: Associations between food neophobia and the food preferences and characteristics. ANALYSIS: Analysis of variance, analysis of covariance, Pearson product-moment correlations, and Fisher z test were used to estimate and compare the associations between these variables. RESULTS: Food neophobia was associated with reduced preferences for all food groups, but especially for vegetables (r = -0.60; P < .001). It was also associated with liking fewer food types (r = -0.55; P < .001), disliking more food types (r = 0.42; P < .001), the number of untried food types (r = 0.25; P < .001), a less varied range of food preferences (r = -0.59; P < .001), and less healthful food preferences overall (r = -0.55; P < .001). No significant relationships (P < .01) were observed between food neophobia and a child's age, sex, or history of breast-feeding. CONCLUSIONS: The study confirms and extends results obtained in experimental research and population-based intake studies of food neophobia to children's everyday food preferences. The findings suggest that preschool children's everyday food preferences are strongly associated with food neophobia but not with children's age, sex, or history of breast-feeding. When aiming to influence children's food preferences, the effects of food neophobia and strategies to reduce it should be considered.

Impact of the Growing Healthy mHealth Program on Maternal Feeding Practices, Infant Food Preferences, and Satiety Responsiveness: Quasi-Experimental Study.

BACKGROUND: Infancy is an important life stage for obesity prevention efforts. Parents' infant feeding practices influence the development of infants' food preferences and eating behaviors and subsequently diet and weight. Mobile health (mHealth) may provide a feasible medium through which to deliver programs to promote healthy infant feeding as it allows low cost and easy access to tailored content. OBJECTIVE: The objective of this study was to describe the effects of an mHealth intervention on parental feeding practices, infant food preferences, and infant satiety responsiveness. 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 with age-appropriate push notifications, a website, and an online forum that provided them with evidence-based advice on infant feeding for healthy growth from birth until 9 months of age. Behavior change techniques were selected using the Behaviour Change Wheel framework. Participants in both groups completed three Web-based surveys, first when their infants were less than 3 months old (baseline, T1), then at 6 months (time 2, T2), and 9 months of age (time 3, T3). Surveys included questions on infant feeding practices and beliefs (Infant Feeding Questionnaire, IFQ), satiety responsiveness (Baby Eating Behaviour Questionnaire), and infant's food exposure and liking. Multivariate linear regression models, estimated using maximum likelihood with bootstrapped standard errors, were fitted to compare continuous outcomes between the intervention groups, with adjustment for relevant covariates. Multivariate logistic regression adjusting for the same covariates was performed for categorical outcomes. RESULTS: A total of 645 parents (Growing Healthy: n=301, Baby's First Food: n=344) met the eligibility criteria and were included in the study, reducing to a sample size of 546 (Growing Healthy: n=234, Baby's First Food: n=312) at T2 and a sample size of 518 (Growing Healthy: n=225, Baby's First Food: n=293) at T3. There were approximately equal numbers of boy and girl infants, and infants were aged less than 3 months at baseline (Growing Healthy: mean 7.0, SD 3.7 weeks; Baby's First Food: mean 7.9, SD 3.8 weeks), with Growing Healthy infants being slightly younger than Baby's First Food infants (P=.001). All but one (IFQ subscale "concerns about infant overeating or becoming overweight" at T2) of the measured outcomes did not differ between Growing Healthy and Baby's First Food. CONCLUSIONS: Although mHealth can be effective in promoting some health behaviors and offers many advantages in health promotion, the results of this study suggest that design and delivery characteristics needed to maximize the impact of mHealth interventions on infant feeding are uncertain. The sensitivity of available measurement tools and differences in baseline characteristics of participants may have also affected the results.

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.

Preventing obesity in infants: the Growing healthy feasibility trial protocol.

INTRODUCTION: Early childhood is an important period for establishing behaviours that will affect weight gain and health across the life course. Early feeding choices, including breast and/or formula, timing of introduction of solids, physical activity and electronic media use among infants and young children are considered likely determinants of childhood obesity. Parents play a primary role in shaping these behaviours through parental modelling, feeding styles, and the food and physical activity environments provided. Children from low socio-economic backgrounds have higher rates of obesity, making early intervention particularly important. However, such families are often more difficult to reach and may be less likely to participate in traditional programs that support healthy behaviours. Parents across all socio-demographic groups frequently access primary health care (PHC) services, including nurses in community health services and general medical practices, providing unparalleled opportunity for engagement to influence family behaviours. One emerging and promising area that might maximise engagement at a low cost is the provision of support for healthy parenting through electronic media such as the Internet or smart phones. The Growing healthy study explores the feasibility of delivering such support via primary health care services. METHODS: This paper describes the Growing healthy study, a non-randomised quasi experimental study examining the feasibility of an intervention delivered via a smartphone app (or website) for parents living in socioeconomically disadvantaged areas, for promoting infant feeding and parenting behaviours that promote healthy rather than excessive weight gain. Participants will be recruited via their primary health care practitioner and followed until their infant is 9 months old. Data will be collected via web-based questionnaires and the data collected inherently by the app itself. ETHICS AND DISSEMINATION: This study received approval from the University of Technology Sydney Ethics committee and will be disseminated via peer-reviewed publications and conference presentations.