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DiVito D, Wellik A, Burfield J, Peterson J, Flickinger J, Tindall A, Albanowski K, Vishnubhatt S, MacMullen L, Martin I, Muraresku C, McCormick E, George-Sankoh I, McCormack S, Goldstein A, Ganetzky R, Yudkoff M, Xiao R, Falk MJ, R Mascarenhas M, Zolkipli-Cunningham Z. Optimized Nutrition in Mitochondrial Disease Correlates to Improved Muscle Fatigue, Strength, and Quality of Life. Neurotherapeutics 2023; 20:1723-1745. [PMID: 37723406 PMCID: PMC10684455 DOI: 10.1007/s13311-023-01418-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/26/2023] [Indexed: 09/20/2023] Open
Abstract
We sought to prospectively characterize the nutritional status of adults ≥ 19 years (n = 22, 27% males) and children (n = 38, 61% male) with genetically-confirmed primary mitochondrial disease (PMD) to guide development of precision nutritional support strategies to be tested in future clinical trials. We excluded subjects who were exclusively tube-fed. Daily caloric requirements were estimated using World Health Organization (WHO) equations to predict resting energy expenditure (REE) multiplied by an activity factor (AF) based on individual activity levels. We developed a Mitochondrial Disease Activity Factors (MOTIVATOR) score to encompass the impact of muscle fatigue typical of PMD on physical activity levels. PMD cohort daily diet intake was estimated to be 1,143 ± 104.1 kcal in adults (mean ± SEM, 76.2% of WHO-MOTIVATOR predicted requirement), and 1,114 ± 62.3 kcal in children (86.4% predicted). A total of 11/22 (50%) adults and 18/38 (47.4%) children with PMD consumed ≤ 75% predicted daily Kcal needs. Malnutrition was identified in 16/60 (26.7%) PMD subjects. Increased protein and fat intake correlated with improved muscle strength in those with insufficient daily Kcal intake (≤ 75% predicted); higher protein and fat intake correlated with decreased muscle fatigue; and higher protein, fat, and carbohydrate intake correlated with improved quality of life (QoL). These data demonstrate the frequent occurrence of malnutrition in PMD and emphasize the critical need to devise nutritional interventions to optimize clinical outcomes.
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Affiliation(s)
- Donna DiVito
- Clinical Nutrition Department, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, Division of Human Genetics, Mitochondrial Medicine Frontier Program, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Amanda Wellik
- Department of Pediatrics, Division of Human Genetics, Mitochondrial Medicine Frontier Program, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Jessica Burfield
- Clinical Nutrition Department, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, Division of Human Genetics, Mitochondrial Medicine Frontier Program, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - James Peterson
- Department of Pediatrics, Division of Human Genetics, Mitochondrial Medicine Frontier Program, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Jean Flickinger
- Department of Pediatrics, Division of Human Genetics, Mitochondrial Medicine Frontier Program, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Alyssa Tindall
- Department of Pediatrics, Division of Human Genetics, Mitochondrial Medicine Frontier Program, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Division of Gastroenterology and Nutrition, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Kimberly Albanowski
- Department of Pediatrics, Division of Human Genetics, Mitochondrial Medicine Frontier Program, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Shailee Vishnubhatt
- Department of Pediatrics, Division of Human Genetics, Mitochondrial Medicine Frontier Program, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Laura MacMullen
- Department of Pediatrics, Division of Human Genetics, Mitochondrial Medicine Frontier Program, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Isaac Martin
- Department of Pediatrics, Division of Human Genetics, Mitochondrial Medicine Frontier Program, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Colleen Muraresku
- Department of Pediatrics, Division of Human Genetics, Mitochondrial Medicine Frontier Program, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Elizabeth McCormick
- Department of Pediatrics, Division of Human Genetics, Mitochondrial Medicine Frontier Program, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Ibrahim George-Sankoh
- Department of Pediatrics, Division of Human Genetics, Mitochondrial Medicine Frontier Program, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Shana McCormack
- Division of Endocrinology, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Amy Goldstein
- Department of Pediatrics, Division of Human Genetics, Mitochondrial Medicine Frontier Program, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Rebecca Ganetzky
- Department of Pediatrics, Division of Human Genetics, Mitochondrial Medicine Frontier Program, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Marc Yudkoff
- Department of Pediatrics, Division of Human Genetics, Mitochondrial Medicine Frontier Program, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Rui Xiao
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Marni J Falk
- Department of Pediatrics, Division of Human Genetics, Mitochondrial Medicine Frontier Program, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Maria R Mascarenhas
- Division of Gastroenterology and Nutrition, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Zarazuela Zolkipli-Cunningham
- Department of Pediatrics, Division of Human Genetics, Mitochondrial Medicine Frontier Program, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
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Park SY, Love P, Zheng M, Campbell KJ, Lacy KE. Breakfast consumption trends among young Australian children aged up to 5 years: results from InFANT program. Front Endocrinol (Lausanne) 2023; 14:1154844. [PMID: 37635972 PMCID: PMC10448523 DOI: 10.3389/fendo.2023.1154844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 04/10/2023] [Indexed: 08/29/2023] Open
Abstract
Breakfast is considered a healthy dietary habit which can track over time from childhood to adulthood. The breakfast meal has the potential to improve daily dietary quality, particularly if it includes a range of food groups and adequate nutrient intakes. However, research on breakfast consumption trends among young Australian children aged up to 5 years is currently limited. This study assessed children's usual breakfast food group and nutrient intakes at ages 1.5 (n = 369), 3.5 (n = 242), and 5.0 (n =240) years using three 24-hour dietary recalls from the Melbourne InFANT program. Tracking of food groups at breakfast across the three ages was assessed by Pearson correlation of energy-adjusted food intake residuals. The main food groups consumed at breakfast were grains, milk/alternatives and discretionary items, with vegetables rarely consumed at any age. Our study found that while breakfast contributed about 20% of total daily energy, this provided 20%-29.1% of total daily intake across all ages for carbohydrates, total sugars, calcium and potassium. For the contribution to daily recommendations, breakfast contributed more than about a third of daily recommended intakes for some micronutrients (e.g., iron, calcium and zinc), and a large proportion (over 40%) of sodium intake. Children consumed 11.9% -15.2% of their energy at breakfast from saturated fat, which is higher than the recommended total energy contribution of saturated fat (no more than 10% from saturated fat). For tracking of most food groups and nutrients, tracking was found to be low or moderate over time. Given the contribution that breakfast can make to ensure children achieve their daily dietary intakes, early interventions for young Australian children should focus on practical strategies to increase vegetable intake while reducing sodium and saturated fat intake at breakfast.
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Affiliation(s)
- Seon Y. Park
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences (SENS), Deakin University, Geelong, VIC, Australia
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McCann J, Beckford K, Beswick H, Chisholm M, Woods J. Toddler foods and milks don't stack up against regular foods and milks. Nutr J 2022; 21:12. [PMID: 35209925 PMCID: PMC8876127 DOI: 10.1186/s12937-022-00765-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 02/08/2022] [Indexed: 12/29/2022] Open
Abstract
AIM To compare the cost and nutritional profiles of toddler-specific foods and milks to 'regular' foods and milks. METHODS Cross-sectional audit of non-toddler specific ('regular') foods and milks and secondary analysis of existing audit data of toddler specific (12-36 months) foods and milks in Australia. MAIN FINDINGS The cost of all toddler-specific foods and milks was higher than the regular non-toddler foods. Foods varied in nutritional content, but toddler foods were mostly of poorer nutritional profile than regular foods. Fresh milk cost, on average, $0.22 less per 100 mL than toddler milk. Toddler milks had higher mean sugar and carbohydrate levels and lower mean protein, fat, saturated fat, sodium and calcium levels per 100 mL, when compared to fresh full fat cow's milk. CONCLUSIONS Toddler specific foods and milks cost more and do not represent value for money or good nutrition for young children.
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Affiliation(s)
- Jennifer McCann
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia
| | | | | | | | - Julie Woods
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Geelong, Australia
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Orkusz A. An Assessment of the Nutritional Value of the Preschool Food Rations for Children from the Wroclaw District, Poland—The Case of a Big City. Nutrients 2022; 14:nu14030460. [PMID: 35276818 PMCID: PMC8838055 DOI: 10.3390/nu14030460] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 01/18/2022] [Accepted: 01/19/2022] [Indexed: 02/04/2023] Open
Abstract
The evaluation of nutrition is an essential element of preventing chronic diseases and can be used to determine nutritional recommendations. A child spends about 7–8 h a day in a kindergarten; therefore, meals served there should be balanced appropriately to ensure the full psychophysical development of the young organism. At preschool age, children develop eating habits that can have life-long effects. Based on 10-day menus, the study aimed to estimate the energy and nutritional value of children’s diets at four randomly selected kindergartens in the Wroclaw district, Poland. In total, 80 menus were analyzed (40 for summer and 40 for autumn). The data from kindergartens were analyzed based on the Diet 6D computer program. Regardless of the kindergarten, the analyzed food rations showed irregularities related to excessive supplies (in reference to the dietary recommendations) of sucrose, fiber, salt, magnesium, and vitamin A. The preschool food rations did not cover demands with respect to PUFA n-3, PUFA-n-6, calcium, and vitamin D. The observed irregularities confirm the need to monitor the content of energy and nutrients in preschool menus to be able to correct any dietary errors.
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Affiliation(s)
- Agnieszka Orkusz
- Department of Biotechnology and Food Analysis, Wroclaw University of Economics and Business, 53-345 Wroclaw, Poland
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Lovell AL, Milne T, Matsuyama M, Hill RJ, Davies PSW, Grant CC, Wall CR. Protein Intake, IGF-1 Concentrations, and Growth in the Second Year of Life in Children Receiving Growing Up Milk - Lite (GUMLi) or Cow's Milk (CM) Intervention. Front Nutr 2021; 8:666228. [PMID: 34179057 PMCID: PMC8224403 DOI: 10.3389/fnut.2021.666228] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 05/14/2021] [Indexed: 11/13/2022] Open
Abstract
The relationship of protein intake with insulin-like growth factor 1 (IGF-1) concentrations in well-nourished children during the second year of life is poorly understood. The aim of this study was to explore the effect of a reduced-protein Growing Up Milk Lite (GUMLi) or unfortified cow's milk (CM) on protein intake, growth, and plasma IGF-1 at 2 y. An exploratory analysis of a sub-sample of Auckland-based children (n = 79) in the GUMLi trial (a double-blind, randomised control trial, N = 160) completed in Auckland and Brisbane (2015-2017) was conducted. One-year old children were randomised to receive a reduced-protein GUMLi (1.7 g protein/100 mL) or a non-fortified CM (3.1 g protein/100 mL) for 12 months. Blood sampling and anthropometric measurements were made at 1 and 2 y. Diet was assessed using a validated food frequency questionnaire. Total protein intake (g/d) from all cow's milk sources was 4.6 g (95% CI: -6.7, -2.4; p < 0.005) lower in the GUMLi group after 12 months of the intervention, with a significant group-by-time interaction (p = 0.005). Length-for-age (LAZ) and weight-for-length (WLZ) z-scores did not differ between groups, however, mean body fat % (BF%) was 3.2% (95%CI: -6.2, -0.3; p = 0.032) lower in the GUMLi group at 2 y. There was no difference between the intervention groups in relation to IGF-1 and IGF-BP3 (p = 0.894 and 0.698, respectively), with no group-by-sex interaction. After combining the groups, IGF-1 concentration at 2 y was positively correlated with parameters of growth (all p < 0.05), total cow's milk intake (p = 0.032) after adjusting for sex, breastfeeding status, and gestation. Randomisation to a reduced protein GUMLi resulted in small reduction in %BF and lower total protein intakes but had no effect on growth. Plasma IGF-1 concentrations were independently associated with total protein intake from cow's milk at 2 y, highlighting a potential area of the diet to target when designing future protein-related nutrition interventions. Clinical Trial Registration: Australian New Zealand Clinical Trials Registry number: ACTRN12614000918628. Date registered: 27/08/2014.
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Affiliation(s)
- Amy L Lovell
- Department of Nutrition and Dietetics, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Tania Milne
- Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Misa Matsuyama
- Child Health Research Centre, University of Queensland, Brisbane, QLD, Australia
| | - Rebecca J Hill
- Child Health Research Centre, University of Queensland, Brisbane, QLD, Australia
| | - Peter S W Davies
- Child Health Research Centre, University of Queensland, Brisbane, QLD, Australia
| | - Cameron C Grant
- Department of Paediatrics: Child and Youth Health, University of Auckland, Auckland, New Zealand.,Centre for Longitudinal Research He Ara ki Mua, University of Auckland, Auckland, New Zealand.,General Paediatrics, Starship Children's Hospital, Auckland District Health Board, Auckland, New Zealand
| | - Clare R Wall
- Department of Nutrition and Dietetics, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
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HADMAȘ RM, MARTIN ȘA, MĂRGINEAN O. Children anthropometric development: an analysis over food consumption and energy requirements. GAZZETTA MEDICA ITALIANA ARCHIVIO PER LE SCIENZE MEDICHE 2021. [DOI: 10.23736/s0393-3660.19.04310-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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7
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Protein Intake During Infancy and Subsequent Body Mass Index in Early Childhood: Results from the Melbourne InFANT Program. J Acad Nutr Diet 2021; 121:1775-1784. [PMID: 33839065 DOI: 10.1016/j.jand.2021.02.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Revised: 01/31/2021] [Accepted: 02/21/2021] [Indexed: 11/21/2022]
Abstract
BACKGROUND The link between high protein intake during infancy and obesity later in childhood has been much debated, and the association with differing protein sources remains unclear. OBJECTIVE This study aimed to examine the associations between total protein intake and protein from different sources (ie, nondairy animal, dairy, and plant) reported at age 9 months and development in body mass index (BMI) z scores until age 5 years. DESIGN This study involved a secondary data analysis of the Melbourne InFANT (Infant Feeding, Activity and Nutrition Trial) program, an observational prospective cohort study that was conducted from 2008 to 2013. PARTICIPANTS/SETTING Participants were children (n = 345) who completed both the 9-month and 5-year follow-up visits within the Melbourne InFANT program. MAIN OUTCOME MEASURES BMI z score was measured at age 5 years. STATISTICAL ANALYSES PERFORMED Linear mixed models with a random effect for clusters of mother's group and with adjustment for baseline child and maternal covariates were conducted. RESULTS With adjustment for covariates, every 1 g or 1% energy increase in total protein intake at age 9 months was associated with a 0.016-unit (95% CI 0.003 to 0.029) or 0.034-unit (95% CI 0.005 to 0.063) increase in BMI z score at age 5 years, respectively. With respect to protein sources, associations of similar magnitude were found for nondairy animal protein. No evidence of an association with BMI z score was found for dairy (including milk, yogurt, cheese, breast milk, and infant formula) and plant proteins. CONCLUSIONS High intakes of total protein, nondairy animal protein, but not dairy or plant proteins, during infancy were associated with higher BMI z score in early childhood. These findings can inform dietary recommendations regarding protein intakes during infancy. CLINICAL TRIAL REGISTRATION The InFANT program was registered with Current Controlled Trials (ISRCTN81847050); http://www.isrctn.com/ISRCTN81847050.
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Romanelli R, Cecchi N, Carbone MG, Dinardo M, Gaudino G, Miraglia Del Giudice E, Umano GR. Pediatric obesity: prevention is better than care. Ital J Pediatr 2020; 46:103. [PMID: 32709246 PMCID: PMC7379757 DOI: 10.1186/s13052-020-00868-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Accepted: 07/14/2020] [Indexed: 02/06/2023] Open
Abstract
Pediatric obesity is one of the most relevant health issues of the last century. Obesity-related short and long-term consequences are responsible of a large amount of economic cost. In addition, the different therapeutic strategies, such as lifestyle correction, drug, and bariatric surgery have displayed low effectiveness. Considering this evidence, prevention appears to be more promising than treatment in contrasting obesity epidemic. In this review, we summarize obesity pathogenesis with the aim of highlight the main obesity risk factors that can be addressed as target of preventive interventions. Moreover, we report the evidence about effectiveness of different interventions targeting family, school, and community. A multiple-component intervention, addressing different targets and settings, might be desirable, however more studies are needed to confirm long-term efficacy and to direct policy interventions.
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Affiliation(s)
- Roberta Romanelli
- Clinical Nutrition Unit -Santobono-Pausilipon Children's Hospital, Naples, Italy
| | - Nicola Cecchi
- Clinical Nutrition Unit -Santobono-Pausilipon Children's Hospital, Naples, Italy
| | - Maria Grazia Carbone
- Clinical Nutrition Unit -Santobono-Pausilipon Children's Hospital, Naples, Italy
| | - Michele Dinardo
- Clinical Nutrition Unit -Santobono-Pausilipon Children's Hospital, Naples, Italy
| | - Giuseppina Gaudino
- Department of the Woman, of the Child, of General and Specialized Surgery, University of Campania "Luigi Vanvitelli", Via L. de Crecchio, 2, 80138, Naples, Italy
| | - Emanuele Miraglia Del Giudice
- Department of the Woman, of the Child, of General and Specialized Surgery, University of Campania "Luigi Vanvitelli", Via L. de Crecchio, 2, 80138, Naples, Italy
| | - Giuseppina Rosaria Umano
- Department of the Woman, of the Child, of General and Specialized Surgery, University of Campania "Luigi Vanvitelli", Via L. de Crecchio, 2, 80138, Naples, Italy.
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9
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Hodder RK, O'Brien KM, Tzelepis F, Wyse RJ, Wolfenden L. Interventions for increasing fruit and vegetable consumption in children aged five years and under. Cochrane Database Syst Rev 2020; 5:CD008552. [PMID: 32449203 PMCID: PMC7273132 DOI: 10.1002/14651858.cd008552.pub7] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND Insufficient consumption of fruits and vegetables in childhood increases the risk of future non-communicable diseases, including cardiovascular disease. Testing the effects of interventions to increase consumption of fruit and vegetables, including those focused on specific child-feeding strategies or broader multicomponent interventions targeting the home or childcare environment is required to assess the potential to reduce this disease burden. OBJECTIVES To assess the effectiveness, cost effectiveness and associated adverse events of interventions designed to increase the consumption of fruit, vegetables or both amongst children aged five years and under. SEARCH METHODS We searched CENTRAL, MEDLINE, Embase and two clinical trials registries to identify eligible trials on 25 January 2020. We searched Proquest Dissertations and Theses in November 2019. We reviewed reference lists of included trials and handsearched three international nutrition journals. We contacted authors of included trials to identify further potentially relevant trials. SELECTION CRITERIA We included randomised controlled trials, including cluster-randomised controlled trials and cross-over trials, of any intervention primarily targeting consumption of fruit, vegetables or both among children aged five years and under, and incorporating a dietary or biochemical assessment of fruit or vegetable consumption. Two review authors independently screened titles and abstracts of identified papers; a third review author resolved disagreements. DATA COLLECTION AND ANALYSIS Two review authors independently extracted data and assessed the risks of bias of included trials; a third review author resolved disagreements. Due to unexplained heterogeneity, we used random-effects models in meta-analyses for the primary review outcomes where we identified sufficient trials. We calculated standardised mean differences (SMDs) to account for the heterogeneity of fruit and vegetable consumption measures. We conducted assessments of risks of bias and evaluated the quality of evidence (GRADE approach) using Cochrane procedures. MAIN RESULTS We included 80 trials with 218 trial arms and 12,965 participants. Fifty trials examined the impact of child-feeding practices (e.g. repeated food exposure) in increasing child vegetable intake. Fifteen trials examined the impact of parent nutrition education only in increasing child fruit and vegetable intake. Fourteen trials examined the impact of multicomponent interventions (e.g. parent nutrition education and preschool policy changes) in increasing child fruit and vegetable intake. Two trials examined the effect of a nutrition education intervention delivered to children in increasing child fruit and vegetable intake. One trial examined the impact of a child-focused mindfulness intervention in increasing vegetable intake. We judged 23 of the 80 included trials as free from high risks of bias across all domains. Performance, detection and attrition bias were the most common domains judged at high risk of bias for the remaining trials. There is low-quality evidence that child-feeding practices versus no intervention may have a small positive effect on child vegetable consumption, equivalent to an increase of 5.30 grams as-desired consumption of vegetables (SMD 0.50, 95% CI 0.29 to 0.71; 19 trials, 2140 participants; mean post-intervention follow-up = 8.3 weeks). Multicomponent interventions versus no intervention has a small effect on child consumption of fruit and vegetables (SMD 0.32, 95% CI 0.09 to 0.55; 9 trials, 2961 participants; moderate-quality evidence; mean post-intervention follow-up = 5.4 weeks), equivalent to an increase of 0.34 cups of fruit and vegetables a day. It is uncertain whether there are any short-term differences in child consumption of fruit and vegetables in meta-analyses of trials examining parent nutrition education versus no intervention (SMD 0.13, 95% CI -0.02 to 0.28; 11 trials, 3050 participants; very low-quality evidence; mean post-intervention follow-up = 13.2 weeks). We were unable to pool child nutrition education interventions in meta-analysis; both trials reported a positive intervention effect on child consumption of fruit and vegetables (low-quality evidence). Very few trials reported long-term effectiveness (6 trials), cost effectiveness (1 trial) or unintended adverse consequences of interventions (2 trials), limiting our ability to assess these outcomes. Trials reported receiving governmental or charitable funds, except for four trials reporting industry funding. AUTHORS' CONCLUSIONS Despite identifying 80 eligible trials of various intervention approaches, the evidence for how to increase children's fruit and vegetable consumption remains limited in terms of quality of evidence and magnitude of effect. Of the types of interventions identified, there was moderate-quality evidence that multicomponent interventions probably lead to, and low-quality evidence that child-feeding practice may lead to, only small increases in fruit and vegetable consumption in children aged five years and under. It is uncertain whether parent nutrition education or child nutrition education interventions alone are effective in increasing fruit and vegetable consumption in children aged five years and under. Our confidence in effect estimates for all intervention approaches, with the exception of multicomponent interventions, is limited on the basis of the very low to low-quality evidence. Long-term follow-up of at least 12 months is required and future research should adopt more rigorous methods to advance the field. This is a living systematic review. Living systematic reviews offer a new approach to review updating, in which the review is continually updated, incorporating relevant new evidence as it becomes available. Please refer to the Cochrane Database of Systematic Reviews for the current status of this review.
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Affiliation(s)
- Rebecca K Hodder
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Hunter Medical Research Institute, New Lambton, Australia
- Priority Research Centre in Health and Behaviour, University of Newcastle, Callaghan, Australia
| | - Kate M O'Brien
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Hunter Medical Research Institute, New Lambton, Australia
- Priority Research Centre in Health and Behaviour, University of Newcastle, Callaghan, Australia
| | - Flora Tzelepis
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Hunter Medical Research Institute, New Lambton, Australia
- Priority Research Centre in Health and Behaviour, University of Newcastle, Callaghan, Australia
| | - Rebecca J Wyse
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Hunter Medical Research Institute, New Lambton, Australia
- Priority Research Centre in Health and Behaviour, University of Newcastle, Callaghan, Australia
| | - Luke Wolfenden
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Hunter Medical Research Institute, New Lambton, Australia
- Priority Research Centre in Health and Behaviour, University of Newcastle, Callaghan, Australia
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Madrigal C, Soto-Méndez MJ, Hernández-Ruiz Á, Valero T, Ávila JM, Ruiz E, Lara Villoslada F, Leis R, Martínez de Victoria E, Moreno JM, M. Ortega R, Ruiz-López MD, Varela-Moreiras G, Gil Á. Energy Intake, Macronutrient Profile and Food Sources of Spanish Children Aged One to <10 Years-Results from the EsNuPI Study. Nutrients 2020; 12:E893. [PMID: 32218330 PMCID: PMC7231217 DOI: 10.3390/nu12040893] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Revised: 03/17/2020] [Accepted: 03/22/2020] [Indexed: 12/13/2022] Open
Abstract
The present study aimed to assess energy intake, nutrient profile and food sources in Spanish children participating in the EsNuPI ("Estudio Nutricional en Población Infantil Española") study. Plausibility of energy intake and adequacy of nutrient intakes to international recommendations were analyzed in a final sample of 1448 subjects (728 boys and 720 girls) and one group representative of the 1 to <10 years old urban Spanish children (reference sample (n = 707)) who consumed milk and one of the same age who consumed adapted milk over the last year (adapted milk consumers sample (n = 741)) were compared. Both groups completed data of a face-to-face and a telephone 24-h dietary recalls. Both the reference and the adapted milk consumers samples reported an adequate daily energy intake (1503 kcal/day and 1404 kcal/day); and a high contribution to total energy from protein (16.5% and 15.6%) and fat (36.5% and 35.9%). Also, a high percentage of children from both samples were below the lower limit of the recommendations for carbohydrates (47.8% and 39.3%). As the percentage of plausible energy reporters was high for both groups (84.7% and 83.5%, respectively), data for the whole sample were analyzed. Milk and dairy, cereals, meat and derived products, fats and oils, bakery and pastry, fruits and vegetables contributed to about 80% of the total energy intake in both groups. However, the reference sample reported significantly more contribution to energy from cereals, meat and meat products, bakery and pastry and ready to cook/eat foods; meanwhile, the adapted milk consumers sample reported significantly more energy from milk and dairy products, fruits and eggs. Those results suggest that adapted milk consumers have better adherence to the food-based dietary guidelines. Further analyses are warranted to characterize food patterns and the quality of the diet in the EsNuPI study population.
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Affiliation(s)
- Casandra Madrigal
- Department of Nutrition and Bromatology, Faculty of Pharmacy, University of Granada, Campus de Cartuja, s.n, 18071 Granada, Spain;
- Iberoamerican Nutrition Foundation (FINUT), Av. Del Conocimiento 12, 3 ª pta, Armilla, 18016 Granada, Spain; (M.J.S.-M.); (Á.H.-R.); (Á.G.)
| | - María José Soto-Méndez
- Iberoamerican Nutrition Foundation (FINUT), Av. Del Conocimiento 12, 3 ª pta, Armilla, 18016 Granada, Spain; (M.J.S.-M.); (Á.H.-R.); (Á.G.)
| | - Ángela Hernández-Ruiz
- Iberoamerican Nutrition Foundation (FINUT), Av. Del Conocimiento 12, 3 ª pta, Armilla, 18016 Granada, Spain; (M.J.S.-M.); (Á.H.-R.); (Á.G.)
| | - Teresa Valero
- Spanish Nutrition Foundation (FEN), c/General Álvarez de Castro 20, 1ªpta, 28010 Madrid, Spain; (T.V.); (J.M.Á.); (E.R.); (G.V.-M.)
| | - José Manuel Ávila
- Spanish Nutrition Foundation (FEN), c/General Álvarez de Castro 20, 1ªpta, 28010 Madrid, Spain; (T.V.); (J.M.Á.); (E.R.); (G.V.-M.)
| | - Emma Ruiz
- Spanish Nutrition Foundation (FEN), c/General Álvarez de Castro 20, 1ªpta, 28010 Madrid, Spain; (T.V.); (J.M.Á.); (E.R.); (G.V.-M.)
- CIBERESP, Consortium for Biomedical Research in Epidemiology and Public Health, Carlos III Health Institute, 28029 Madrid, Spain
- National Center for Epidemiology, Carlos III Health Institute, 28029 Madrid, Spain
| | | | - Rosaura Leis
- Unit of Pediatric Gastroenterology, Hepatology and Nutrition, Department of Pediatrics, University Clinical Hospital of Santiago, IDIS, ISCIII, University of Santiago de Compostela, 15700 Santiago de Compostela, Spain;
- CIBEROBN (Physiopathology of Obesity and Nutrition CB12/03/30038), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
| | - Emilio Martínez de Victoria
- Department of Physiology, Faculty of Pharmacy, University of Granada, Campus de Cartuja, s.n, 18071 Granada, Spain;
- Institute of Nutrition and Food Technology “José Mataix,” Biomedical Research Center, University of Granada, Parque Tecnológico de la Salud, Avenida del Conocimiento s/n, Armilla, 18100 Granada, Spain
| | - José Manuel Moreno
- Pediatric Department, University of Navarra Clinic, Calle Marquesado de Sta. Marta, 1, 28027 Madrid, Spain;
| | - Rosa M. Ortega
- Department of Nutrition and Food Science, Faculty of Pharmacy, Complutense University of Madrid, Plaza Ramón y Cajal s/n, 28040 Madrid, Spain;
| | - María Dolores Ruiz-López
- Department of Nutrition and Bromatology, Faculty of Pharmacy, University of Granada, Campus de Cartuja, s.n, 18071 Granada, Spain;
- Iberoamerican Nutrition Foundation (FINUT), Av. Del Conocimiento 12, 3 ª pta, Armilla, 18016 Granada, Spain; (M.J.S.-M.); (Á.H.-R.); (Á.G.)
- Institute of Nutrition and Food Technology “José Mataix,” Biomedical Research Center, University of Granada, Parque Tecnológico de la Salud, Avenida del Conocimiento s/n, Armilla, 18100 Granada, Spain
| | - Gregorio Varela-Moreiras
- Spanish Nutrition Foundation (FEN), c/General Álvarez de Castro 20, 1ªpta, 28010 Madrid, Spain; (T.V.); (J.M.Á.); (E.R.); (G.V.-M.)
- Department of Pharmaceutical and Health Sciences, Faculty of Pharmacy, CEU San Pablo University, Urb. Montepríncipe, crta. Boadilla km. 5.3, Boadilla del Monte, 28668 Madrid, Spain
| | - Ángel Gil
- Iberoamerican Nutrition Foundation (FINUT), Av. Del Conocimiento 12, 3 ª pta, Armilla, 18016 Granada, Spain; (M.J.S.-M.); (Á.H.-R.); (Á.G.)
- CIBEROBN (Physiopathology of Obesity and Nutrition CB12/03/30038), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Institute of Nutrition and Food Technology “José Mataix,” Biomedical Research Center, University of Granada, Parque Tecnológico de la Salud, Avenida del Conocimiento s/n, Armilla, 18100 Granada, Spain
- Department of Biochemistry and Molecular Biology II University of Granada, University of Granada, Campus de Cartuja, s.n, 18071 Granada, Spain
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11
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Dalziel JE, Dunstan KE, Dewhurst H, Van Gendt M, Young W, Carpenter E. Goat milk increases gastric emptying and alters caecal short chain fatty acid profile compared with cow milk in healthy rats. Food Funct 2020; 11:8573-8582. [DOI: 10.1039/d0fo01862g] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Goat and cow milk share similar protein and lipid content, yet goat milk forms softer curds during stomach digestion.
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Affiliation(s)
- Julie E. Dalziel
- Food Nutrition & Health Team
- Food & Bio-Based Products Group
- AgResearch
- Palmerston North 4442
- New Zealand
| | - Kelly E. Dunstan
- Food Nutrition & Health Team
- Food & Bio-Based Products Group
- AgResearch
- Palmerston North 4442
- New Zealand
| | - Hilary Dewhurst
- Food Nutrition & Health Team
- Food & Bio-Based Products Group
- AgResearch
- Palmerston North 4442
- New Zealand
| | - Melanie Van Gendt
- Food Nutrition & Health Team
- Food & Bio-Based Products Group
- AgResearch
- Palmerston North 4442
- New Zealand
| | - Wayne Young
- Food Nutrition & Health Team
- Food & Bio-Based Products Group
- AgResearch
- Palmerston North 4442
- New Zealand
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12
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Hodder RK, O'Brien KM, Stacey FG, Tzelepis F, Wyse RJ, Bartlem KM, Sutherland R, James EL, Barnes C, Wolfenden L. Interventions for increasing fruit and vegetable consumption in children aged five years and under. Cochrane Database Syst Rev 2019; 2019:CD008552. [PMID: 31697869 PMCID: PMC6837849 DOI: 10.1002/14651858.cd008552.pub6] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND Insufficient consumption of fruits and vegetables in childhood increases the risk of future non-communicable diseases, including cardiovascular disease. Interventions to increase consumption of fruit and vegetables, such as those focused on specific child-feeding strategies and parent nutrition education interventions in early childhood may therefore be an effective strategy in reducing this disease burden. OBJECTIVES To assess the effectiveness, cost effectiveness and associated adverse events of interventions designed to increase the consumption of fruit, vegetables or both amongst children aged five years and under. SEARCH METHODS We searched CENTRAL, MEDLINE, Embase and two clinical trials registries to identify eligible trials on 25 August 2019. We searched Proquest Dissertations and Theses in May 2019. We reviewed reference lists of included trials and handsearched three international nutrition journals. We contacted authors of included trials to identify further potentially relevant trials. SELECTION CRITERIA We included randomised controlled trials, including cluster-randomised controlled trials and cross-over trials, of any intervention primarily targeting consumption of fruit, vegetables or both among children aged five years and under, and incorporating a dietary or biochemical assessment of fruit or vegetable consumption. Two review authors independently screened titles and abstracts of identified papers; a third review author resolved disagreements. DATA COLLECTION AND ANALYSIS Two review authors independently extracted data and assessed the risks of bias of included trials; a third review author resolved disagreements. Due to unexplained heterogeneity, we used random-effects models in meta-analyses for the primary review outcomes where we identified sufficient trials. We calculated standardised mean differences (SMDs) to account for the heterogeneity of fruit and vegetable consumption measures. We conducted assessments of risks of bias and evaluated the quality of evidence (GRADE approach) using Cochrane procedures. MAIN RESULTS We included 78 trials with 214 trial arms and 13,746 participants. Forty-eight trials examined the impact of child-feeding practices (e.g. repeated food exposure) in increasing child vegetable intake. Fifteen trials examined the impact of parent nutrition education in increasing child fruit and vegetable intake. Fourteen trials examined the impact of multicomponent interventions (e.g. parent nutrition education and preschool policy changes) in increasing child fruit and vegetable intake. Two trials examined the effect of a nutrition education intervention delivered to children in increasing child fruit and vegetable intake. One trial examined the impact of a child-focused mindfulness intervention in increasing vegetable intake. We judged 20 of the 78 included trials as free from high risks of bias across all domains. Performance, detection and attrition bias were the most common domains judged at high risk of bias for the remaining trials. There is very low-quality evidence that child-feeding practices versus no intervention may have a small positive effect on child vegetable consumption equivalent to an increase of 4.45 g as-desired consumption of vegetables (SMD 0.42, 95% CI 0.23 to 0.60; 18 trials, 2004 participants; mean post-intervention follow-up = 8.2 weeks). Multicomponent interventions versus no intervention has a small effect on child consumption of fruit and vegetables (SMD 0.34, 95% CI 0.10 to 0.57; 9 trials, 3022 participants; moderate-quality evidence; mean post-intervention follow-up = 5.4 weeks), equivalent to an increase of 0.36 cups of fruit and vegetables per day. It is uncertain whether there are any short-term differences in child consumption of fruit and vegetables in meta-analyses of trials examining parent nutrition education versus no intervention (SMD 0.12, 95% CI -0.03 to 0.28; 11 trials, 3078 participants; very low-quality evidence; mean post-intervention follow-up = 13.2 weeks). We were unable to pool child nutrition education interventions in meta-analysis; both trials reported a positive intervention effect on child consumption of fruit and vegetables (low-quality evidence). Very few trials reported long-term effectiveness (6 trials), cost effectiveness (1 trial) and unintended adverse consequences of interventions (2 trials), limiting their assessment. Trials reported receiving governmental or charitable funds, except for four trials reporting industry funding. AUTHORS' CONCLUSIONS Despite identifying 78 eligible trials of various intervention approaches, the evidence for how to increase children's fruit and vegetable consumption remains limited. There was very low-quality evidence that child-feeding practice may lead to, and moderate-quality evidence that multicomponent interventions probably lead to small increases in fruit and vegetable consumption in children aged five years and younger. It is uncertain whether parent nutrition education interventions are effective in increasing fruit and vegetable consumption in children aged five years and younger. Given that the quality of the evidence is very low or low, future research will likely change estimates and conclusions. Long-term follow-up of at least 12 months is required and future research should adopt more rigorous methods to advance the field. This is a living systematic review. Living systematic reviews offer a new approach to review updating, in which the review is continually updated, incorporating relevant new evidence as it becomes available. Please refer to the Cochrane Database of Systematic Reviews for the current status of this review.
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Affiliation(s)
- Rebecca K Hodder
- Hunter New England Local Health DistrictHunter New England Population HealthLocked Bag 10WallsendAustralia2287
- University of NewcastleSchool of Medicine and Public HealthCallaghanAustralia
- Hunter Medical Research InstituteNew LambtonAustralia
- University of NewcastlePriority Research Centre in Health and BehaviourCallaghanAustralia
| | - Kate M O'Brien
- Hunter New England Local Health DistrictHunter New England Population HealthLocked Bag 10WallsendAustralia2287
- University of NewcastleSchool of Medicine and Public HealthCallaghanAustralia
- Hunter Medical Research InstituteNew LambtonAustralia
- University of NewcastlePriority Research Centre in Health and BehaviourCallaghanAustralia
| | - Fiona G Stacey
- University of NewcastleSchool of Medicine and Public HealthCallaghanAustralia
- Hunter Medical Research InstituteNew LambtonAustralia
- University of NewcastlePriority Research Centre in Health and BehaviourCallaghanAustralia
- University of NewcastlePriority Research Centre in Physical Activity and NutritionCallaghanAustralia
| | - Flora Tzelepis
- University of NewcastleSchool of Medicine and Public HealthCallaghanAustralia
- Hunter Medical Research InstituteNew LambtonAustralia
- University of NewcastlePriority Research Centre in Health and BehaviourCallaghanAustralia
| | - Rebecca J Wyse
- University of NewcastleSchool of Medicine and Public HealthCallaghanAustralia
- Hunter Medical Research InstituteNew LambtonAustralia
- University of NewcastlePriority Research Centre in Health and BehaviourCallaghanAustralia
| | - Kate M Bartlem
- University of NewcastleSchool of PsychologyUniversity DriveCallaghanNew South WalesAustralia2308
| | - Rachel Sutherland
- Hunter New England Local Health DistrictHunter New England Population HealthLocked Bag 10WallsendAustralia2287
- University of NewcastleSchool of Medicine and Public HealthCallaghanAustralia
- Hunter Medical Research InstituteNew LambtonAustralia
- University of NewcastlePriority Research Centre in Health and BehaviourCallaghanAustralia
| | - Erica L James
- University of NewcastleSchool of Medicine and Public HealthCallaghanAustralia
- Hunter Medical Research InstituteNew LambtonAustralia
| | - Courtney Barnes
- Hunter New England Local Health DistrictHunter New England Population HealthLocked Bag 10WallsendAustralia2287
- University of NewcastleSchool of Medicine and Public HealthCallaghanAustralia
- Hunter Medical Research InstituteNew LambtonAustralia
- University of NewcastlePriority Research Centre in Health and BehaviourCallaghanAustralia
| | - Luke Wolfenden
- Hunter New England Local Health DistrictHunter New England Population HealthLocked Bag 10WallsendAustralia2287
- University of NewcastleSchool of Medicine and Public HealthCallaghanAustralia
- Hunter Medical Research InstituteNew LambtonAustralia
- University of NewcastlePriority Research Centre in Health and BehaviourCallaghanAustralia
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13
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Wall CR, Hill RJ, Lovell AL, Matsuyama M, Milne T, Grant CC, Jiang Y, Chen RX, Wouldes TA, Davies PSW. A multicenter, double-blind, randomized, placebo-controlled trial to evaluate the effect of consuming Growing Up Milk "Lite" on body composition in children aged 12-23 mo. Am J Clin Nutr 2019; 109:576-585. [PMID: 30831579 DOI: 10.1093/ajcn/nqy302] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Accepted: 10/03/2018] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Growing Up Milk (GUM) was developed to assist young children in meeting their nutritional requirements during the second year of life. However, there is limited evidence that GUM improves nutritional status and growth in young children. OBJECTIVES To evaluate the effect of consuming Growing Up Milk "Lite" (GUMLi) (reduced protein with synbiotics and micronutrients added) compared with standard cow milk as part of a whole diet for 1 y on body composition at 2 y of age. METHODS GUMLi Trial was a multicenter, double-blind, randomized placebo-controlled trial conducted in Auckland and Brisbane. Healthy 1-y-olds were recruited and randomly assigned to receive either GUMLi or standard cow milk for 12 mo as part of a whole diet. The primary outcome was percentage body fat at 2 y of age measured by bioelectrical impedance. All regression models adjusted for baseline outcome and study center. RESULTS 160 children (80 per arm) were randomly assigned, and 134 (67 per arm) were included in the modified intention-to-treat analyses. The mean percentage body fat at 12 mo was 23.3% (SD 7.9) in the GUMLi group and 25.7% (SD 7.2) in the cow milk group. After adjusting for baseline outcome and study location, the estimated mean difference in percentage body fat between the intervention and control at 12 mo was -2.19% (95% CI: -4.24, -0.15; P = 0.036). Per-protocol analysis showed a similar effect (mean difference: -2.09%; 95% CI: -4.16, -0.03; P = 0.047). Both fat mass and the fat mass index were significantly lower in the GUMLi group at 12 mo than in the cow milk group. CONCLUSIONS At 2 y of age, children who consumed a GUM with a lower protein content than cow milk over 12 mo had a lower percentage of body fat. This trial was registered at the Australian New Zealand Clinical Trials Registry as ACTRN12614000918628.
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Affiliation(s)
- Clare R Wall
- Discipline of Nutrition and Dietetics, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Rebecca J Hill
- Children's Nutrition Research Centre, University of Queensland Child Health Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Amy L Lovell
- Discipline of Nutrition and Dietetics, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Misa Matsuyama
- Children's Nutrition Research Centre, University of Queensland Child Health Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Tania Milne
- Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Cameron C Grant
- Department of Paediatrics: Child and Youth Health, University of Auckland, Auckland, New Zealand.,Centre for Longitudinal Research He Ara ki Mua, University of Auckland, Auckland, New Zealand.,General Paediatrics, Starship Children's Hospital, Auckland District Health Board, Auckland, New Zealand
| | - Yannan Jiang
- Department of Statistics, Faculty of Science, University of Auckland, Auckland, New Zealand
| | - Rachel X Chen
- Department of Statistics, Faculty of Science, University of Auckland, Auckland, New Zealand
| | - Trecia A Wouldes
- Department of Psychological Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Peter S W Davies
- Children's Nutrition Research Centre, University of Queensland Child Health Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, Australia
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14
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Hodder RK, O'Brien KM, Stacey FG, Wyse RJ, Clinton‐McHarg T, Tzelepis F, James EL, Bartlem KM, Nathan NK, Sutherland R, Robson E, Yoong SL, Wolfenden L. Interventions for increasing fruit and vegetable consumption in children aged five years and under. Cochrane Database Syst Rev 2018; 5:CD008552. [PMID: 29770960 PMCID: PMC6373580 DOI: 10.1002/14651858.cd008552.pub5] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND Insufficient consumption of fruits and vegetables in childhood increases the risk of future non-communicable diseases, including cardiovascular disease. Interventions to increase consumption of fruit and vegetables, such as those focused on specific child-feeding strategies and parent nutrition education interventions in early childhood may therefore be an effective strategy in reducing this disease burden. OBJECTIVES To assess the effectiveness, cost effectiveness and associated adverse events of interventions designed to increase the consumption of fruit, vegetables or both amongst children aged five years and under. SEARCH METHODS We searched CENTRAL, MEDLINE, Embase and two clinical trials registries to identify eligible trials on 25 January 2018. We searched Proquest Dissertations and Theses in November 2017. We reviewed reference lists of included trials and handsearched three international nutrition journals. We contacted authors of included studies to identify further potentially relevant trials. SELECTION CRITERIA We included randomised controlled trials, including cluster-randomised controlled trials and cross-over trials, of any intervention primarily targeting consumption of fruit, vegetables or both among children aged five years and under, and incorporating a dietary or biochemical assessment of fruit or vegetable consumption. Two review authors independently screened titles and abstracts of identified papers; a third review author resolved disagreements. DATA COLLECTION AND ANALYSIS Two review authors independently extracted data and assessed the risks of bias of included studies; a third review author resolved disagreements. Due to unexplained heterogeneity, we used random-effects models in meta-analyses for the primary review outcomes where we identified sufficient trials. We calculated standardised mean differences (SMDs) to account for the heterogeneity of fruit and vegetable consumption measures. We conducted assessments of risks of bias and evaluated the quality of evidence (GRADE approach) using Cochrane procedures. MAIN RESULTS We included 63 trials with 178 trial arms and 11,698 participants. Thirty-nine trials examined the impact of child-feeding practices (e.g. repeated food exposure) in increasing child vegetable intake. Fourteen trials examined the impact of parent nutrition education in increasing child fruit and vegetable intake. Nine studies examined the impact of multicomponent interventions (e.g. parent nutrition education and preschool policy changes) in increasing child fruit and vegetable intake. One study examined the effect of a nutrition education intervention delivered to children in increasing child fruit and vegetable intake.We judged 14 of the 63 included trials as free from high risks of bias across all domains; performance, detection and attrition bias were the most common domains judged at high risk of bias for the remaining studies.There is very low quality evidence that child-feeding practices versus no intervention may have a small positive effect on child vegetable consumption equivalent to an increase of 3.50 g as-desired consumption of vegetables (SMD 0.33, 95% CI 0.13 to 0.54; participants = 1741; studies = 13). Multicomponent interventions versus no intervention may have a very small effect on child consumption of fruit and vegetables (SMD 0.35, 95% CI 0.04 to 0.66; participants = 2009; studies = 5; low-quality evidence), equivalent to an increase of 0.37 cups of fruit and vegetables per day. It is uncertain whether there are any short-term differences in child consumption of fruit and vegetables in meta-analyses of trials examining parent nutrition education versus no intervention (SMD 0.12, 95% CI -0.03 to 0.28; participants = 3078; studies = 11; very low-quality evidence).Insufficient data were available to assess long-term effectiveness, cost effectiveness and unintended adverse consequences of interventions. Studies reported receiving governmental or charitable funds, except for four studies reporting industry funding. AUTHORS' CONCLUSIONS Despite identifying 63 eligible trials of various intervention approaches, the evidence for how to increase children's fruit and vegetable consumption remains limited. There was very low- and low-quality evidence respectively that child-feeding practice and multicomponent interventions may lead to very small increases in fruit and vegetable consumption in children aged five years and younger. It is uncertain whether parent nutrition education interventions are effective in increasing fruit and vegetable consumption in children aged five years and younger. Given that the quality of the evidence is very low or low, future research will likely change estimates and conclusions. Long-term follow-up is required and future research should adopt more rigorous methods to advance the field.This is a living systematic review. Living systematic reviews offer a new approach to review updating, in which the review is continually updated, incorporating relevant new evidence as it becomes available. Please refer to the Cochrane Database of Systematic Reviews for the current status of this review.
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Affiliation(s)
- Rebecca K Hodder
- Hunter New England Local Health DistrictHunter New England Population HealthLocked Bag 10WallsendAustralia2287
| | - Kate M O'Brien
- Hunter New England Local Health DistrictHunter New England Population HealthLocked Bag 10WallsendAustralia2287
| | - Fiona G Stacey
- University of Newcastle, Hunter Medical Research Institute, Priority
Research Centre in Health Behaviour, and Priority Research Centre in
Physical Activity and NutritionSchool of Medicine and Public HealthCallaghanAustralia2287
| | - Rebecca J Wyse
- University of NewcastleSchool of Medicine and Public HealthCallaghanAustralia2308
| | - Tara Clinton‐McHarg
- University of NewcastleSchool of Medicine and Public HealthCallaghanAustralia2308
| | - Flora Tzelepis
- University of NewcastleSchool of Medicine and Public HealthCallaghanAustralia2308
| | - Erica L James
- University of Newcastle, Hunter Medical Research InstituteSchool of Medicine and Public HealthUniversity DriveCallaghanAustralia2308
| | - Kate M Bartlem
- University of NewcastleSchool of PsychologyUniversity DriveCallaghanAustralia2308
| | - Nicole K Nathan
- Hunter New England Local Health DistrictHunter New England Population HealthLocked Bag 10WallsendAustralia2287
| | - Rachel Sutherland
- Hunter New England Local Health DistrictHunter New England Population HealthLocked Bag 10WallsendAustralia2287
| | - Emma Robson
- Hunter New England Local Health DistrictHunter New England Population HealthLocked Bag 10WallsendAustralia2287
| | - Sze Lin Yoong
- Hunter New England Local Health DistrictHunter New England Population HealthLocked Bag 10WallsendAustralia2287
| | - Luke Wolfenden
- University of NewcastleSchool of Medicine and Public HealthCallaghanAustralia2308
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15
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Hodder RK, Stacey FG, O'Brien KM, Wyse RJ, Clinton‐McHarg T, Tzelepis F, James EL, Bartlem KM, Nathan NK, Sutherland R, Robson E, Yoong SL, Wolfenden L. Interventions for increasing fruit and vegetable consumption in children aged five years and under. Cochrane Database Syst Rev 2018; 1:CD008552. [PMID: 29365346 PMCID: PMC6491117 DOI: 10.1002/14651858.cd008552.pub4] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND Insufficient consumption of fruits and vegetables in childhood increases the risk of future chronic diseases, including cardiovascular disease. OBJECTIVES To assess the effectiveness, cost effectiveness and associated adverse events of interventions designed to increase the consumption of fruit, vegetables or both amongst children aged five years and under. SEARCH METHODS We searched the Cochrane Central Register of Controlled Trials (CENTRAL) in the Cochrane Library, MEDLINE and Embase to identify eligible trials on 25 September 2017. We searched Proquest Dissertations and Theses and two clinical trial registers in November 2017. We reviewed reference lists of included trials and handsearched three international nutrition journals. We contacted authors of included studies to identify further potentially relevant trials. SELECTION CRITERIA We included randomised controlled trials, including cluster-randomised controlled trials and cross-over trials, of any intervention primarily targeting consumption of fruit, vegetables or both among children aged five years and under, and incorporating a dietary or biochemical assessment of fruit or vegetable consumption. Two review authors independently screened titles and abstracts of identified papers; a third review author resolved disagreements. DATA COLLECTION AND ANALYSIS Two review authors independently extracted data and assessed the risks of bias of included studies; a third review author resolved disagreements. Due to unexplained heterogeneity, we used random-effects models in meta-analyses for the primary review outcomes where we identified sufficient trials. We calculated standardised mean differences (SMDs) to account for the heterogeneity of fruit and vegetable consumption measures. We conducted assessments of risks of bias and evaluated the quality of evidence (GRADE approach) using Cochrane procedures. MAIN RESULTS We included 55 trials with 154 trial arms and 11,108 participants. Thirty-three trials examined the impact of child-feeding practices (e.g. repeated food exposure) in increasing child vegetable intake. Thirteen trials examined the impact of parent nutrition education in increasing child fruit and vegetable intake. Eight studies examined the impact of multicomponent interventions (e.g. parent nutrition education and preschool policy changes) in increasing child fruit and vegetable intake. One study examined the effect of a nutrition intervention delivered to children in increasing child fruit and vegetable intake.We judged 14 of the 55 included trials as free from high risks of bias across all domains; performance, detection and attrition bias were the most common domains judged at high risk of bias for the remaining studies.Meta-analysis of trials examining child-feeding practices versus no intervention revealed a positive effect on child vegetable consumption (SMD 0.38, 95% confidence interval (CI) 0.15 to 0.61; n = 1509; 11 studies; very low-quality evidence), equivalent to a mean difference of 4.03 g of vegetables. There were no short-term differences in child consumption of fruit and vegetables in meta-analyses of trials examining parent nutrition education versus no intervention (SMD 0.11, 95% CI -0.05 to 0.28; n = 3023; 10 studies; very low-quality evidence) or multicomponent interventions versus no intervention (SMD 0.28, 95% CI -0.06 to 0.63; n = 1861; 4 studies; very low-quality evidence).Insufficient data were available to assess long-term effectiveness, cost effectiveness and unintended adverse consequences of interventions. Studies reported receiving governmental or charitable funds, except for three studies reporting industry funding. AUTHORS' CONCLUSIONS Despite identifying 55 eligible trials of various intervention approaches, the evidence for how to increase children's fruit and vegetable consumption remains sparse. There was very low-quality evidence that child-feeding practice interventions are effective in increasing vegetable consumption in children aged five years and younger, however the effect size was very small and long-term follow-up is required. There was very low-quality evidence that parent nutrition education and multicomponent interventions are not effective in increasing fruit and vegetable consumption in children aged five years and younger. All findings should be considered with caution, given most included trials could not be combined in meta-analyses. Given the very low-quality evidence, future research will very likely change estimates and conclusions. Such research should adopt more rigorous methods to advance the field.This is a living systematic review. Living systematic reviews offer a new approach to review updating, in which the review is continually updated, incorporating relevant new evidence as it becomes available. Please refer to the Cochrane Database of Systematic Reviews for the current status of this review.
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Affiliation(s)
- Rebecca K Hodder
- Hunter New England Local Health DistrictHunter New England Population HealthLocked Bag 10WallsendAustralia2287
| | - Fiona G Stacey
- University of Newcastle, Hunter Medical Research Institute, Priority Research Centre in Health Behaviour, and Priority Research Centre in Physical Activity and NutritionSchool of Medicine and Public HealthCallaghanAustralia2287
| | - Kate M O'Brien
- Hunter New England Local Health DistrictHunter New England Population HealthLocked Bag 10WallsendAustralia2287
| | - Rebecca J Wyse
- University of NewcastleSchool of Medicine and Public HealthCallaghanAustralia2308
| | - Tara Clinton‐McHarg
- University of NewcastleSchool of Medicine and Public HealthCallaghanAustralia2308
| | - Flora Tzelepis
- University of NewcastleSchool of Medicine and Public HealthCallaghanAustralia2308
| | - Erica L James
- University of Newcastle, Hunter Medical Research InstituteSchool of Medicine and Public HealthUniversity DriveCallaghanAustralia2308
| | - Kate M Bartlem
- University of NewcastleSchool of PsychologyUniversity DriveCallaghanAustralia2308
| | - Nicole K Nathan
- Hunter New England Local Health DistrictHunter New England Population HealthLocked Bag 10WallsendAustralia2287
| | - Rachel Sutherland
- Hunter New England Local Health DistrictHunter New England Population HealthLocked Bag 10WallsendAustralia2287
| | - Emma Robson
- Hunter New England Local Health DistrictHunter New England Population HealthLocked Bag 10WallsendAustralia2287
| | - Sze Lin Yoong
- Hunter New England Local Health DistrictHunter New England Population HealthLocked Bag 10WallsendAustralia2287
| | - Luke Wolfenden
- University of NewcastleSchool of Medicine and Public HealthCallaghanAustralia2308
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