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

Hodder, Rebecca K; O’Brien, Kate; Stacey, Fiona; Tzelepis, Flora; Wyse, Rebecca; Bartlem, Kate; Sutherland, Rachel; James, Erica L.; Barnes, Courtney; Wolfenden, Luke

doi:10.1002/14651858.cd008552.pub6

Cited by 59 publications

(70 citation statements)

References 874 publications

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“…A sufficient intake of fruit and vegetable is associated with a reduced future risk of several non-communicable diseases (NCDs) [1][2][3][4]. Dietary habits are shaped in early childhood; hence, interventions to increase fruit and vegetable intake in this period of life may reduce the future risk of NCDs [5]. Research indicates that multi-component interventions might have a positive effect on fruit and vegetable intake among school-aged children [6,7].…”

Section: Introductionmentioning

confidence: 99%

“…Research indicates that multi-component interventions might have a positive effect on fruit and vegetable intake among school-aged children [6,7]. However, knowledge on how to successfully increase fruit and vegetable intake among preschool children is limited [5,[8][9][10], and only a few multi-component intervention studies among children of this age have been conducted [5]. Moreover, there is a lack of studies assessing the long-term effects (i.e.…”

Section: Introductionmentioning

confidence: 99%

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Long-term effects of a cluster randomized controlled kindergarten-based intervention trial on vegetable intake among Norwegian 3–5-year-olds: the BRA-study

et al. 2020

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Objective: To report on long-term effects of a cluster randomized controlled kindergarten-based intervention trial, which aimed to increase vegetable intake among Norwegian preschool children (3-5 years at baseline). The effects of the intervention at follow-up 1 (immediately post-intervention) have previously been published. This paper presents the effects of the intervention from baseline to follow-up 2 (12 months post-intervention). Results: Parental consents were obtained for 633 out of 1631 eligible children (response rate 38.8%). The effects of the intervention from baseline to follow-up 2 were assessed by mixed-model analyses taking the clustering effect of kindergartens into account. Children's vegetable intake was reported by the parents at baseline (spring 2015), at follow-up 1 (spring 2016) and at follow-up 2 (spring 2017). No significant long-term effects in child vegetable intake were found. A mean difference of − 0.1 times per day (95% CI − 0.5, 0.2) (P = 0.44) was found for the daily frequency of vegetable intake. A mean difference of-0.2 different kinds of vegetables eaten over a month (95% CI − 1.0, 0.7) (P = 0.70) was found and for daily amount of vegetables a mean difference of − 15.0 g vegetables (95% CI − 38.0, 8.0) (P = 0.19) was found.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Long-term effects of a cluster randomized controlled kindergarten-based intervention trial on vegetable intake among Norwegian 3–5-year-olds: the BRA-study

et al. 2020

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“…Recent systematic reviews have shown that economic evaluation is rarely applied to public health implementation-interventions and the generation of economic evidence has been identi ed as a priority for the eld of implementation research (13,25,26). Investment in implementation has an opportunity cost.…”

Section: Introductionmentioning

confidence: 99%

Economic evaluation of a web-based menu planning intervention to improve childcare service adherence with dietary guidelines.

Reeves

Edmunds

Szewczyk

et al. 2020

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Abstract Background Despite the known benefits of healthy eating in childhood, few Australian childcare services provide food that is consistent with dietary guidelines. The effectiveness of a web-based menu planning intervention to increase childcare service provision of healthy foods, and decrease provision of discretionary foods in long daycare centres in Australia was assessed in a randomised controlled trial. Here we consider the costs, consequences, cost-effectiveness and budget impact of the intervention using data collected within the trial. Methods The prospective trial-based economic evaluation involved 54 childcare services across New South Wales (NSW), Australia. Services were randomised to a 12-month intervention or usual care. The intervention involved access to a web-based menu planning and decision support tool, and online resources. Effectiveness measures included: mean number of food groups, overall menu and individual food group compliance with dietary guidelines, and mean servings of food groups at 12 months. Costs (reported in $AUD, 2017/18) were evaluated from both health sector and societal perspectives. The direct cost to support uptake of the intervention was calculated, as were costs to each childcare centres. The incremental cost of the intervention was calculated as the net difference in the cost to undertake menu planning and review plus the direct cost of the intervention. Incremental cost–effectiveness ratios (ICERs) including uncertainty intervals, were estimated for differences in costs and effects between intervention and control groups. A relative value index was calculated to determine overall value for money. Results Over the 12 months of the trial, we calculated a difference in cost between usual practice and intervention groups of -$482 (95% UI -$859, -$56). While the measured increase in menu and food group compliance within the trial did not reach statistical significance, there were significant improvements in mean servings of fruit and discretionary food, represented in the cost-consequence analysis. The calculated relative value index of 1.1 suggests that the intervention returns acceptable value for money for the outcomes generated. Conclusion Compared to usual practice, web-based programs may offer an efficient and sustainable alternative for childcare centres to improve the provision of healthy foods to children in their care. Trial Registration Australian New Zealand Clinical Trials Registry ACTRN12616000974404

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“…11 However, this study 12 was not conducted in the US and did not explore the interaction between the diet quality of solid foods and early introduction to solid foods. Given that low intake of fruits and vegetables 13 and high intake of unhealthy foods are related to obesogenic dietary patterns, [14][15][16][17] it is critical to understand how exposure to these foods early in life interact with maternal factors to subsequently influence childhood diet and body weight. Notably, because infants are predisposed to prefer sweet, energy-dense foods, frequent introduction to such foods early in life may alter taste preferences further, and put infants at greater risk for overconsuming unhealthy foods, under consuming healthy foods, and establishing less optimal weight patterns early in life.…”

Section: Introductionmentioning

confidence: 99%

Associations between timing and quality of solid food introduction with infant weight-for-length z-scores at 12 months: Findings from the Nurture cohort

et al. 2019

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This study assesses associations of the timing and quality of solid foods introduced during infancy with weight-for-length (WFL) z-scores at months within the Nurture cohort. Women from North Carolina self-reported sociodemographics, the timing and type of solid food introduction, and reasons for introducing solids; infant anthropometrics were measured every 3 months through 1 year (n=666). Frequency (0-5x/day) infants consumed fruits and vegetables was used to compute a mean (4-12 months) healthy food score (HFS), and sweets, french fries, snacks, and ice cream was used to compute a mean unhealthy food score (UnHFS). Multivariable-adjusted generalized linear models were used to examine the relationship of early solid food introduction, HFS quartiles (Q), UnHFS quartiles, and interactions between these variables with WFL z-scores at 12 months (n=449). Exploratory analyses evaluated WFL zscores among 4 groups of infants with high/low HFS and high/low UnHFS. On average, mothers were 28 years with a pre-pregnancy BMI of 30.5 kg/m 2 ; 65% were Non-Hispanic Black, and 59% had incomes <$20,000. Mean HFS and UnHFS were 2.4 (range 0-7.4 of 10) and 1.8 (range 0-9.9 of 20), respectively. Nearly 1/3 of mothers introduced solids early, but early introduction and the HFS were not associated with WFL z-scores. Infants in Q3 and Q4 of the UnHFS had higher WFL z-scores (0.75-0.79 ±0.09) compared to infants in Q1 (0.42±0.0.9), p<0.05. Frequent unhealthy food intake was associated with higher WFL z-scores at 12-months, underscoring the importance of reducing unhealthy food intake in the first year.

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

Cited by 59 publications

References 874 publications

Long-term effects of a cluster randomized controlled kindergarten-based intervention trial on vegetable intake among Norwegian 3–5-year-olds: the BRA-study

Long-term effects of a cluster randomized controlled kindergarten-based intervention trial on vegetable intake among Norwegian 3–5-year-olds: the BRA-study

Economic evaluation of a web-based menu planning intervention to improve childcare service adherence with dietary guidelines.

Associations between timing and quality of solid food introduction with infant weight-for-length z-scores at 12 months: Findings from the Nurture cohort

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