Background Obesogenic dietary intake is prevalent in young children and is associated with obesity and other adverse health outcomes in childhood and later in life.
Objective To describe the barriers to and facilitators of obesogenic dietary intake in early childhood, in order to inform interventions and public health policies to prevent obesity.
Design Systematic review of qualitative literature on factors influencing obesogenic diets in children aged 0–6 years.
Data sources MEDLINE, EMBASE, CINAHL, PsycINFO, Web of Knowledge, British Nursing Index, ASSIA and Sociological Abstracts.
Review methods Qualitative studies meeting the inclusion criteria were synthesised. Data were analysed by creating a thematic framework, underpinned by the socioecological model, which included familiarisation of data across the studies, indexing, charting, mapping and interpretation.
Results 20 studies from the USA (10), Europe (6) and Australia (4) included the views of 1067 participants (901 parents/caregivers, 37 children, 87 teachers, 15 dieticians and 27 nursery staff). Study designs included focus groups (n=16), individual interviews (n=6) and ethnography (n=1) with some studies using more than one design. Despite wide differences in the study context and focus, several consistent themes emerged. Parental factors increasing young children's obesogenic diets were: negative parent/family/peer modelling, lack of knowledge, time constraints, using food as reward, affordability and concerns about child's health. Child preferences also increased intake. Environmental factors increasing intake include: availability, advertising, societal, cultural and preschool/childcare influences.
Conclusions Future intervention strategies should aim to promote modelling of positive behaviours, create home and preschool environments that promote healthy diets, and simultaneously target factors at the family and preschool/childcare levels.
Trial registration number This review is one of a series of systematic reviews on the determinants of obesogenic behaviours in young children, registered with the International Prospective Register for Systematic Reviews (PROSPERO), CRD42012002881.
- PREVENTIVE MEDICINE
- NUTRITION & DIETETICS
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Strengths and limitations of this study
To our knowledge, this is the first systematic review of qualitative evidence on factors influencing obesogenic dietary intake in preschool-aged children and we found that carers/parents, family and peer modelling significantly influenced young children’s diet.
We conducted a comprehensive search to identify relevant literature and followed strict systematic review procedures to minimize selection and reviewer related biases.
Data was synthesized using a thematic framework, underpinned by the socio-ecological model.
Ten (out of 12) factors/themes were consistently reported by nine or more studies.
Almost all studies were conducted in developed countries and study participants were mainly mothers, which could limit the generalisability of the findings.
Recent figures show alarming numbers of obese and overweight preschool-aged children.1 In 2010, 43 million children under the age of five were obese or overweight worldwide and the prevalence was estimated to rise from 6.7% to 9.1% in 2020.2 In 2013, around 22% of children in school aged 4–5 years and around 33% children aged 10–11 years were overweight or obese in England.3 In 2014, a study in the USA reported that almost half of the children who were obese in eighth grade were overweight or obese when they started kindergarten.4 Furthermore, they concluded that the child’s weight status is set by age five and tracks throughout childhood.4 Childhood obesity is an increasing public health problem as it affects health and well-being adversely during childhood and adulthood.5 However, preventing child overweight and obesity remains an important and complex public health challenge.6–8 Evidence indicates that an individual's behaviour is influenced by a multitude of factors operating at different levels of the socioecological model of health behaviour.9 ,10
Quantitative evidence suggests that energy balance-related behaviours (EBRBs) such as consumption of energy dense, nutrient poor food (eg, unhealthy snacks) and drink (eg, sugar-sweetened beverages, SSBs) and sedentary behaviours (eg, TV viewing) are the main cause of the increase in overweight and obesity in children.11–13 Targeting these multiple EBRBs could help prevent overweight and obesity, since they are known to lie on the causal pathway of weight gain in young children.14–16 SSB consumption is associated with obesity, and predictive of excess weight gain17 ,18 and responsible for the higher caloric intakes among SSB consumers.19
There is increasing evidence that certain dietary intake patterns (obesogenic diet) are associated with obesity, excess weight gain and other adverse (physical, emotional, educational and social) outcomes in childhood and adulthood.20–23 For example, energy-dense diets that are poor in essential nutrients (non-core foods) have adverse effects on obesity prevalence as well as on general health status and well-being.6 Sedentary behaviours and obesogenic dietary intake patterns of fast food, snacks (high fat, sweet, salt) and SSB consumption, adopted during childhood, are known to track into adulthood.24–27 Consumption of SSBs (such as fruit juices/drinks or fruit-flavoured beverages which have high sugar content) in young children is a risk factor for overall poor diet19 and oral health.28 ,29
Early childhood is seen as a period of habit formation and a crucial time for interventions to prevent overweight and obesity.30 In order to change dietary behaviours, it is important to understand the factors influencing these behaviours and interventions targeting these factors may be more effective.14 ,31 Modifying lifestyle has become an important avenue for investigation, since evidence suggests that complex interventions involving multiple methods are required to change dietary behaviour.30
However, most studies addressing this topic are quantitative and on school-aged children and adolescents, with few studies conducted specifically among preschool-aged children. Qualitative research informs quantitative research and guides the design of intervention and practice.32 This paper systematically synthesises the qualitative evidence on the factors influencing obesogenic dietary intake in preschool children underpinned by the socioecological model, in order to inform obesity preventative strategies.
An iterative scoping stage (with input from experts) was followed by a combined search strategy with terms related to population (preschool children aged 0–6 years), exposure and outcome (fruit and vegetable consumption, SSB and other obesogenic diet consumption, physical activity and sedentary behaviours) to identify papers. The overall study design, search, inclusion/exclusion and quality assessment strategies are previously described in the published protocol33 and follow review methods described by the Evidence for Policy and Practice Information (EPPI) Centre for the rigorous conduct and reporting of systematic reviews for policy and practice.34
The search strategy for literature was comprehensive and was without period or language restrictions (see online supplementary table S1). We also handsearched and contacted authors of included studies to identify relevant literature. A total of 37 868 articles were identified through search of eight electronic databases in August 2012, after deduplication (MEDLINE n=20 374, EMBASE n=17 331, CINAHL n=775, PsycINFO n=1868, Web of Knowledge n=13 455, BNI n=291, ASSIA n=113 and Sociological Abstracts n=135). The flow chart of the literature search is presented in figure 1. A rerun search of June 2014 yielded 8908 articles after deduplication. The results of the 10 additional qualitative studies that met our inclusion criteria have been reported in the discussion. No additional themes emerged from these recent studies and the overall conclusions of our review did not change.
Qualitative studies providing a greater understanding of the factors influencing obesogenic dietary intake in preschool-aged children were included (see inclusion/exclusion criteria in online supplementary table S2). The following foods were included as obesogenic diets: snacks high in sugar, salt or fat (eg, crisps, chips, cakes, pastry, sweets and chocolate), combinations of foods (eg, fast food, junk food, convenience food and takeaway food), diets categorised by other researchers as obesogenic (eg, non-core foods, non-prudent diet and western diet) and SSBs (soft drinks, fruit juices, other sweetened drinks).
A standard quality assessment tool for qualitative study designs, as specified by the EPPI centre, was used34 and investigated the following preset criteria: research questions clearly stated, approach appropriate for the research question, qualitative approach clearly justified, study context clearly described, role of the researcher clearly described, sampling method clearly described, sampling strategy appropriate for the research question, method of data collection clearly described, data collection method appropriate, method of analysis clearly described, analysis appropriate for the research question, and conclusions supported by sufficient evidence. Quality of the studies was based on the total quality assessment score—‘high’: met 9–12 quality criteria, ‘intermediate’: met 5–8 quality criteria, ‘low’: met 4 or less quality criteria.
Study selection and quality appraisal was performed by one author (VMP) and all included studies were double reviewed (RL). Of the 37 868 articles, 286 papers were shortlisted for further review. From these, 17 qualitative studies describing the factors influencing obesogenic dietary intake in young children (0–6 years) were included in the review. Three additional papers were identified in August 2013, two35 ,36 through correspondence with first authors of included studies and one37 from the personal database of one of the authors (RL).
All excluded studies were recorded with details and reasons for exclusion. Nineteen papers, mainly conference abstracts or PhD theses, without peer-reviewed full-text papers, were also excluded and have been accounted for in the flow chart (figure 1) as excluded for ‘other reasons’.
Data extraction and analyses
The included qualitative studies (n=20) reported outcomes of interviews, focus groups and participant observation.
A pre-piloted Excel spreadsheet was used to collect information about the study objectives, settings, sample size and selection and other details of the research methods. The data extraction and analysis followed the thematic framework approach underpinned by the socioecological model and included familiarisation of the data across the studies, creating a thematic framework, indexing, charting, mapping and interpretation.38 ,39 Data extraction involved an iterative process of reading and rereading of the studies, the identification of themes concerning views on factors influencing obesogenic dietary intake. A stepwise approach was used to compare and consolidate the initial themes into one list and finally a summary into overarching themes. Details of individual studies (including methods, emergent themes, participant quotes and author conclusions) are documented in online supplementary table S3. The thematic framework was created by RL and double-checked by VMP to ensure agreement and consistency in data extraction and reporting. Any disagreement was resolved by consensus.
The included studies (n=20) had a total of 1067 participants (901 parents/caregivers, 37 children, 87 teachers, 15 dieticians and 27 nursery staff, ie, 9 managers, 6 cooks and 12 other staff). Studies were mainly conducted in developed countries (USA n=8,40–47 Mexico n=1,48 Canada n=1,49 Australia n=4,37 ,50–52 UK n=3,36 ,53 ,54 Sweden n=1,55 multiple (6 and 8 countries, respectively) and countries in Europe n=2,35 ,56 between 2004 and 2013. Eighteen studies were of high quality and two were of intermediate quality.43 ,47 Qualitative evidence on SSB intake was identified from 8 studies,35 ,41 ,42 ,47 ,48 ,50 ,53 ,56 and data on obesogenic food intake from 18 studies.36 ,37 ,40 ,42–56 Most studies (n=13) were in non-generalisable populations such as obese children or low-income families, and these were categorised as non-representative of the general population.35–37 ,40–47 ,50 ,53
Eleven of the 20 studies aimed to recruit parents,36 ,37 ,40 ,41 ,46 ,48 ,49 ,51 ,53 ,55 ,56 three recruited only mothers,42 ,47 ,52 one had only fathers,43 one had only child participants50 and four had mixed populations, that is, parents and teachers35; mothers and dieticians45; mothers and children,44 and nursery staff, parents and children.54 Overall, the number of fathers recruited per study was small.40 ,41 ,43 ,46 ,48 ,55 ,56 The study designs varied: 16 studies held focus groups, 6 interviewed individual participants and 1 was an ethnographic study,54 with some studies using more than one data collection method. The number of participants in each study ranged from 6 to 209. Most studies included children aged 2–6 years and only four studies specified that children below 2 years were included.36 ,43 ,45 ,47
Several behavioural factors were identified as barriers to or facilitators of healthy diet and, despite of differences in study context and focus, 15 themes were identified with 12 themes reported consistently by three or more studies (see online supplementary table S3). The factors were thematically coded and analysed at three levels as per the socioecological model (table 1): child (1 theme), parental/family (7 themes) and environmental (4 themes). Participant (parent, mother, father, child, teacher, etc) quotes are presented in parentheses to illustrate points in respective themes.
This was the only child-level theme identified and was reported by 14 studies. These studies found child's taste preferences, attitudes, likes and dislikes towards food/beverage consumption and difficult feeding/fussy eating to be factors influencing diet in young children, with parents usually offering what the child preferred. (“Your child can influence how you feed them, definitely, depending on their likes and dislikes”—Parent.37 “We feel like we've got to give our kids things all the time…because they want it, we have got to take them to McDonalds”—Mother.52) Caregivers also described strategies to overcome barriers to healthy eating: motivating and encouraging children to make healthy choices, through negotiation, repeated exposure to healthy food and opportunities for children to prepare meals.
Fifteen studies reported parental/family/peer influences, of which 10 studies reported that negative parental modelling, conflicting food purchases, and parental preference for takeaways and packaged food were barriers to healthy eating in children. (“I've learned that children do copy us…when your husband is having chocolate it's not fair to expect your child to have banana or fruit”—Mother.24) Fourteen studies reported that family member/s and peers influenced child's dietary behaviours, sometimes challenging parental practices. Older siblings and wider family members were often perceived as role models. (“As a parent, you are responsible for your children's lifestyle. We have to guide our children…Children don't do what parents tell them to; they do what parents do”—Parent.55)
Knowledge, perceptions, beliefs, confidence, motivation and cooking skills
Fourteen studies reported that such parental influences affect their child's diet. Many parents reported poor nutritional knowledge/education, were more concerned about child's underweight status than overweight, or were overweight themselves, which limited accurate identification of their child's weight status. Some studies reported unhealthy food preparation and feeding practices, early weaning and early introduction of solids as factors affecting healthy diet in infants and toddlers. (“They talk to you and educate you about nutrition, they teach you…I did not know about the pyramid of food, the amount of bread, the amount of rice and fruit…and that is a big influence”—Mother.42) One study reported that lack of support, confidence, motivation and cooking skills was a barrier to healthy eating in children. (“The confidence I think could be (a barrier to providing healthy food), yeah, thinking, oh my goodness I'm going to mess that meal up, I'm going to go for the easy option”—Parent.36)
Time and convenience
Ten studies reported influences on this theme. Parents resorted to convenience food to help them juggle jobs and children's activities, and lack of time clearly influenced parents’ choices and affected children's diets. (“It's hard, so you almost give up good eating for activities…so they either eat good and don't get a good activity, or you get a good activity and you eat at McDonald's”—Parent.49 “I don't cook and I'm the only one who can cook…but I am never there. There will be nights I'll work 18 hours straight and I'll be up at 6:00…and go to work…When I do feed her, it's McDonald's, Burger King, something like that. I can grab and go…because I don't have the time”—Caregiver.40)
Using food as a reward
Ten studies reported that parents used obesogenic food as a reward for good behaviour. (“She then asked for a chocolate from the Christmas tree. I said she could have one if she ate a Satsuma first, which she did.” “Because she had eaten all of her food, I said, do you want some ice-cream?”—Parent.53) This practice could directly increase obesogenic food intake and also make it more desirable for children.
Nine studies reported the influence of financial constraints. Most of these studies reported that participants felt they could not afford to purchase healthy food for their children, which they perceived to be more expensive than unhealthy food. (“A limited household income should not be the same as living an unhealthy life. The government should subsidise healthy…food.” “Healthier food should cost less. I cannot believe that fruit and vegetables should be so terribly expensive”—Parent.55)
Concerns about child's health
Nine studies reported that parents’ or carers’ concerns about their child's health influenced their dietary decisions, usually positively but also in some cases adversely. (“…and during some of that time I'll let him eat that without arguing about eating the junk food a lot of times just as long as I know he's filling up on something”—Parent.40)
Involving children in food preparation
Three studies reported that involving children in food preparation, being creative with food, making mealtime special (eg, picnic), mealtime rituals and routines, could facilitate healthy eating. (“I try to get them into the kitchen as much as I can, especially if I know that they don't like the dish that I am preparing”—Parent.51)
Five studies reported that societal and cultural pressures influenced children's dietary intake while some parents found it difficult to manage without social support. (“Well, I think society has a responsibility for our children's lifestyle, since the politicians make the laws. I believe in early prevention…”—Parent.55) Social norms and cultural challenges such as influence of friends and social occasions, social support from grandparents and friends, and SSB consumption at home being a norm in some cultures adversely influenced dietary intakes.(“In our culture, children are allowed to have sweets several times a week…it's not a big deal”—Parent.55)
Ten studies reported that preschool/childcare and healthcare policies influenced children's dietary intake. Parents and teachers acknowledged that both were role models with collective responsibility towards children and that childcare settings should provide and assist parents to provide healthy food to children. (“When children have chocolate milk or other sugared sweetened beverages at school every day, the preschool will have a stimulating and key role for the intake of sugar”—Parent.35 “We cannot control what they eat and their diet really depends on the place where they stay during the day”—Parent.56)
Parents expected preschool to also provide them with information on healthy eating, so parents could promote healthy dietary intake within the family unit. (“Preschool affects our children's lifestyle. Children spend all day there…preschools should have the mission to coach parents to raise children with healthy lifestyles…parents groups for instance…”—Parent.55)
Availability of obesogenic food and drinks
Ten studies reported that children tend to consume obesogenic food and drink whenever it was available, at home or at school. (“Probably the most obvious thing (influencing a child's food preferences) to me is what is available. If we have certain foods in the house she will eat them, if we don't, she doesn't ask for them”—Parent.51 “My children only drink cartons of orange juice. I have nothing else”—Parent.35) Controlling of home and school food environment and limiting the availability/accessibility of unhealthy food was considered to facilitate a healthy diet in children. (“I keep an eye on what she actually is eating because I'm sure if I put a big tin of Quality Street out in front of her, she'd quite happy demolish as many as possible”—Parent.53)
Advertising and packaging
Ten studies reported that children and parents are influenced by marketing of obesogenic foods. Advertising, food packaging, food placement in supermarkets, and high availability of unhealthy foods in public places made it difficult for parents to make healthy food choices. (“I think when sweets are obviously in the shops and advertising them and the children can see them, it makes it very hard obviously to get away from that with them demanding things like that”—Parent.36 “Children are exposed to temptation all of the time, both in the shops, on television and in newspapers”—Parent.55)
Previous systematic reviews have stated that there is lack of evidence on the factors influencing obesogenic dietary intake in young children.10 ,13 ,14 Our systematic review of qualitative evidence identified many behavioural (parent/carer and child) and environmental (home/preschool/childcare and wider environment) factors, reported by parents and carers as influencing obesogenic dietary intake in young preschool-aged children. Almost all of the studies (18/20) were of ‘high’ methodological quality. Ten of the 12 factors/themes (per socioecological model) were reported by nine or more studies and 2/12 were reported by three and five studies, respectively.
At the child's level; child's dietary preferences/likes were consistently reported by 14 studies as a major factor in child's obesogenic dietary intake. These could be appetite-related behaviours which may be enhanced by environmental influences.57 Also, preschool-aged children potentially make inappropriate food choices in the absence of parental supervision.58 Child preferences also influenced parental feeding decisions, so promoting an authoritative parenting style in addition to teaching parents easy to cook, tasty, healthy and affordable foods appears to be important.
At the parental/family level, negative parent/family/peer modelling, lack of knowledge, time constraints, use of food as a reward, affordability and concerns about child's health were studied extensively by more than eight studies each and were identified as influencers of children's obesogenic dietary intake. These findings are consistent with other research on the topic.10 ,13 ,59 Parental, family and peer modelling was reported extensively by 15 studies and strongly influences the child's obesogenic dietary intake. Hence, promoting parental positive modelling should be included in any intervention. Quantitative evidence has shown that early weaning from exclusive breastfeeding60 and introduction to non-core foods early61 ,62 was significantly associated with increased obesogenic dietary intake in young children. Studies have shown that dietary intake of children is dependent on who feeds the child.63 We found that choice of obesogenic dietary intake in children had influences from social, environmental and behavioural domains. Recent qualitative studies have also reported similar findings.35 ,64–69 Preschool-aged children rely on their parents or carers for food and some children may be more vulnerable to parental unhealthy feeding habits and strategies.
Maternal factors were studied more extensively than those of paternal or other carers; perhaps this is because mothers spend more time with their preschoolers and it is easier to recruit mothers to studies. Also, evidence suggests that maternal factors are associated with increased obesity in children.70 ,71 Three studies in our review reported that children who were involved in the food preparation ate healthy meals. This was also the conclusion of a recent qualitative study.72 We also found that parents who recognised childhood obesity as a problem tried to promote healthy eating habits in their children. So improving parent's identification and understanding of obesity may be a useful intervention strategy.
At the environmental level; availability of obesogenic food/drinks, advertising, societal, cultural and preschool/childcare influences were identified as factors influencing obesogenic dietary intake in children. Quantitative evidence shows a positive association with availability and obesogenic dietary behaviours73 and that home food availability mediates the association between maternal nutrition knowledge and child's diet.74 We found that parents could make changes to the home food environment to promote a healthy diet. Our review also found that parents expect day care/preschool providers, paediatricians and policymakers to help improve their nutritional knowledge and the child's dietary intake. Perhaps capacity building and training of staff at nursery/preschool, and developing interventions integrating social class and culture into ecological frameworks, may be effective in obesity prevention through the identification and development of culturally sensitive nutritional information.75 ,76 Environmental factors such as supermarkets/convenience stores (food placement, offers), food pricing, food availability and food advertising influence the child's diet. It would be useful to investigate whether changing environmental determinants such as advertising, marketing, packaging, pricing and food positioning could reduce obesogenic dietary intake in young children.77 ,78
The collective findings of our review concur with the larger body of evidence in older children and adolescents that knowledge, taste preferences, school policies, parental modelling, influence of peers, availability and accessibility all influence eating behaviours.20 ,79–82 Our findings are also similar to those of a recent Australian qualitative study and a systematic review which investigated only parental influences on dietary intake in children aged 2–5 years and highlighted the following factors: cultural differences, parental attitudes, perceptions and concerns; barriers faced by lower income families to providing healthy foods; using food to shape child's behaviour; lack of understanding of weight status and obesity consequences; inappropriate parent feeding practices and nutrition knowledge.32 ,72
Strengths and weaknesses of the review
To the best of our knowledge, this is the first systematic review of qualitative evidence on the factors influencing obesogenic dietary intake in preschool-aged children. We conducted a comprehensive search without period or language restrictions, as well as handsearched and contacted authors of included studies to identify relevant literature. We also followed preset inclusion criteria and systematic review procedures throughout to minimise selection and reviewer-related biases. All but 2 of the 20 included studies were assessed to be of ‘high’ methodological quality and only 2 were of ‘intermediate’ quality. Ten of the 12 factors/themes were consistently reported by at least nine studies. Seventeen of the 20 studies were published after 2003, indicating that most research on this topic is contemporary. Relevant studies up to June 2014 have been included in our review and this may be a limitation, but we believe that recent qualitative studies will not significantly alter our conclusions. Studies included in this review were almost all from developed countries, although a few were set in the UK. Furthermore, very few fathers or carers were included as participants, which limits the scope of the findings.
There is consistent qualitative evidence that several factors at various levels of the socio-ecological model (child, parent and environment), influence obesogenic dietary intake, although modelling appears to have the most influence. These findings support the rationale for the design and testing of multilevel interventions to reduce obesogenic dietary intake in young preschool age children. Such interventions should also target the barriers to healthy eating—affordability, convenience, modelling, education, child preference, availability and advertising.
The authors sincerely thank the following collaborators on the project: Dr Helen Moore for performing the search in electronic databases; Mrs Claire O'Malley and Dr Kathryn Hesketh for helping with the screening of titles and abstracts; Dr Esther van Sluijis, Professor Carolyn Summerbell and Professor Simon Griffin for their comments and guidance through the project. They also thank the following from the University of Cambridge: Mrs Sheila Palmer and Miss Isla Kuhn for their help with literature sourcing; Professor Carol Brayne, Dr Louise Lafortune, Ms Francis Cater and Ms Judith Willows for their help and support throughout.
Review history and Supplementary material
Contributors VMP was the lead reviewer with RL as the paired senior reviewer and overall obesity project lead. KKO reviewed and edited the manuscript. All the authors contributed to the study design, critical revision of the manuscript and approved the final version.
Funding This independent research is funded by the National Institute of Health Research, School for Public Health Research (NIHR SPHR). The National Institute for Health Research's School for Public Health Research (NIHR SPHR) is a partnership between the Universities of Sheffield, Bristol, Cambridge, UCL; The London School for Hygiene and Tropical Medicine; The Peninsula College of Medicine and Dentistry; the LiLaC collaboration between the Universities of Liverpool and Lancaster and Fuse; The Centre for Translational Research in Public Health, a collaboration between Newcastle, Durham, Northumbria, Sunderland and Teesside Universities. The work was undertaken under the auspices of the Centre for Diet and Activity Research (CEDAR), a UKCRC Public Health Research Centre of Excellence which is funded by the British Heart Foundation, Cancer Research UK, Economic and Social Research Council, Medical Research Council, the National Institute for Health Research, and the Wellcome Trust (RES-590-28-0002).
Competing interests None declared.
Provenance and peer review Not commissioned; externally peer reviewed.
Data sharing statement No additional data are available.
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