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Chan J, Conroy P, Phongsavan P, Raubenheimer D, Allman-Farinelli M. Systems map of interventions to improve dietary intake of pre-school aged children: A scoping review. Prev Med 2023; 177:107727. [PMID: 37848165 DOI: 10.1016/j.ypmed.2023.107727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 10/09/2023] [Accepted: 10/11/2023] [Indexed: 10/19/2023]
Abstract
Implementation and sustaining impact of early childhood nutrition interventions in practice remains a challenge. An understanding of the extent to which determinants across multiple levels of the food system are being addressed may improve success. This literature review aimed to synthesise the evidence on interventions targeting dietary intake and eating behaviours in preschool children using a systems approach. Eligible studies included intervention studies targeting the dietary intake of preschool children aged 2-5 years in high income countries, published in English after January 2000. Interventions were categorised to the Determinants of Nutrition and Eating (DONE) framework for children developed and evaluated by experts across multiple fields. The framework maps and ranks 411 factors driving eating behaviours and nutrition and can be used to systematically summarise determinants. DONE ranks each determinant for its perceived research priority. A total of 160 eligible studies were identified. Most interventions targeted interpersonal (n = 101, 63.1%) and individual (n = 85, 53.1%) level determinants, with fewer targeting environmental (n = 55, 34.4%) and policy level (n = 17, 10.6%) determinants. The most frequently addressed determinants were Parental Resources and Risk Factors (n = 85) and Children's Food Knowledge, Skills and Abilities (n = 67). These determinants had a Moderate research priority rating. Home Food Availability and Accessibility at the environmental level is classified as the highest research priority, however, only 15 of 160 interventions addressed this determinant. This review highlights home food availability and accessibility as potential leverage points for future interventions to improve children's dietary intake and eating behaviours.
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Affiliation(s)
- Jacqueline Chan
- Nutrition and Dietetics Group, Sydney Nursing School, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia; Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia.
| | - Patrick Conroy
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Philayrath Phongsavan
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia; Prevention Research Collaboration, Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - David Raubenheimer
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia; School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia
| | - Margaret Allman-Farinelli
- Nutrition and Dietetics Group, Sydney Nursing School, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia; Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
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Teixeira B, Afonso C, Rodrigues S, Oliveira A. Healthy and Sustainable Dietary Patterns in Children and Adolescents: A Systematic Review. Adv Nutr 2021; 13:1144-1185. [PMID: 34850824 PMCID: PMC9340991 DOI: 10.1093/advances/nmab148] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Revised: 10/18/2021] [Accepted: 11/24/2021] [Indexed: 01/02/2023] Open
Abstract
The need for adherence to a healthy and sustainable dietary pattern in the pediatric stage is discussed worldwide, being linked to a progressive incidence of noncommunicable diseases in adulthood. The aims of this systematic review were to summarize the healthy and/or sustainable dietary patterns, defined a priori, described in the literature for use during the pediatric stage; to evaluate the adherence to these dietary patterns; and identify the health-related benefits associated with adherence to these patterns. A literature search was carried out on Medline, Scopus, and Web of Science from 2010 up to 2021, according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A total of 128 articles were included according to the following criteria: participants 2-17 y old, healthy and/or sustainable dietary patterns defined by an a priori methodology; articles written in English or Portuguese; and published since 2010. Fifty instruments with 14 adaptations that measure adherence to healthy and/or sustainable dietary patterns in children and adolescents were found. The Mediterranean Diet was the most studied dietary pattern. Adherence to healthy and/or sustainable dietary patterns has wide variations worldwide. Most of the instruments described have been little studied at pediatric ages, reducing the ability to extrapolate results. Higher adherence to these dietary patterns was associated with lower body fat, waist circumference, blood pressure, and metabolic risk. There is no consensus regarding the association with BMI. No studies have proofs of the sustainability characteristics of these instruments, it being necessary to produce a new sustainable instrument or test the association of the previous ones with, for example, the ecological footprint. Further validations of these instruments in each country and more prospective studies are needed to establish temporal relations with health-related outcomes. This systematic review was registered at www.crd.york.ac.uk/prospero/ as CRD42020221788.
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Affiliation(s)
| | - Cláudia Afonso
- Faculty of Nutrition and Food Sciences, University of Porto, Porto, Portugal,EPIUnit - Instituto de Saúde Pública, Universidade do Porto [Institute of Public Health, University of Porto], Porto, Portugal,Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), [Laboratory for Integrative and Translational Research in Population Health (ITR)], Porto, Portugal
| | - Sara Rodrigues
- Faculty of Nutrition and Food Sciences, University of Porto, Porto, Portugal,EPIUnit - Instituto de Saúde Pública, Universidade do Porto [Institute of Public Health, University of Porto], Porto, Portugal,Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), [Laboratory for Integrative and Translational Research in Population Health (ITR)], Porto, Portugal
| | - Andreia Oliveira
- EPIUnit - Instituto de Saúde Pública, Universidade do Porto [Institute of Public Health, University of Porto], Porto, Portugal,Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), [Laboratory for Integrative and Translational Research in Population Health (ITR)], Porto, Portugal,Faculty of Medicine, University of Porto, Porto, Portugal
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Padial-Ruz R, Puga-González ME, Céspedes-Jiménez Á, Cabello-Manrique D. Determining Factors in the Use of Urban Parks That Influence the Practice of Physical Activity in Children: A Systematic Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:3648. [PMID: 33807466 PMCID: PMC8037159 DOI: 10.3390/ijerph18073648] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 03/19/2021] [Accepted: 03/24/2021] [Indexed: 01/16/2023]
Abstract
The design and/or remodelling of urban parks is a good health strategy to alleviate the lack of physical activity (PA) in children and, consequently, the different health problems derived from this. The main objective of the present study was to obtain a systematic review of the design features and characteristics that influence users' visits to urban parks and the PA engagement in them. A literature search was carried out in the Web of Science (WOS) and Scopus databases during the months of June and July 2020. After considering and applying inclusion criteria, the final review sample was formed of 31 scientific papers published between 2010-2020. The results obtained in the review lead us to conclude that the needs of the population (children and family members who care for them) and socio-economic context of the area in which they are built must be considered when constructing and/or remodelling parks. Involving community members in playground renovations can have a positive effect on park use and PA engagement in children.
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Affiliation(s)
- Rosario Padial-Ruz
- Department of Didactics of Musical, Plastic and Corporal, University of Granada, 18011 Granada, Spain;
| | - Mª Esther Puga-González
- Department of Didactics of Musical, Plastic and Corporal, University of Granada, 18011 Granada, Spain;
| | - Álvaro Céspedes-Jiménez
- Department of Physical Education and Sports, University of Granada, 18011 Granada, Spain; (Á.C.-J.); (D.C.-M.)
| | - David Cabello-Manrique
- Department of Physical Education and Sports, University of Granada, 18011 Granada, Spain; (Á.C.-J.); (D.C.-M.)
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Lin Q, Jiang Y, Wang G, Sun W, Dong S, Deng Y, Meng M, Zhu Q, Mei H, Zhou Y, Zhang J, Clayton PE, Spruyt K, Jiang F. Combined effects of weight change trajectories and eating behaviors on childhood adiposity status: A birth cohort study. Appetite 2021; 162:105174. [PMID: 33636216 DOI: 10.1016/j.appet.2021.105174] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2020] [Revised: 02/14/2021] [Accepted: 02/15/2021] [Indexed: 01/06/2023]
Abstract
Previous studies have suggested that infant rapid weight change can be associated with an increased weight later in life. However, the weight change trajectory in early life over time and which childhood lifestyle behaviors may modify the risk of rapid weight change have not been characterized. Using our ongoing birth cohort study, we have addressed these issues. Nine follow-up time points (birth, 3, 6, 9, 12, 18, 24, 36, and 48 months) were used to calculate the change between two adjacent weight-for-age z-scores (WAZ-change), and then WAZ-change trajectories were defined via group-based trajectory modeling. The solitary, independent and combined effects of WAZ-change trajectories and each lifestyle factor (eating behaviors, physical activity, media exposure time and total sleep duration) on childhood adiposity measures at age 4 years were determined using multivariate regression analysis. Overall, 84 (38%) children had a steady growth trajectory from birth to 4 years, while the other 137 (62%) children had an early infancy rapid growth trajectory, particularly in the first three months. Compared to children with steady growth, children with early infancy rapid growth had a significantly higher body mass index, waist circumference, and subcutaneous fat. Moreover, weight change trajectory and three eating behaviors (i.e. food responsiveness, satiety responsiveness and food fussiness), not only had independent effects, but also combined (synergistic) effects on the majority of adiposity measures. Our results extend the current literature and provide a potentially valuable model to aid clinicians and health professionals in designing early-life interventions targeting specific populations, specific ages and specific lifestyle behaviors to prevent childhood overweight/obesity.
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Affiliation(s)
- Qingmin Lin
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
| | - Yanrui Jiang
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
| | - Guanghai Wang
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
| | - Wanqi Sun
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
| | - Shumei Dong
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
| | - Yujiao Deng
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
| | - Min Meng
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
| | - Qi Zhu
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
| | - Hao Mei
- Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; Department of Data Science, School of Population Health, University of Mississippi Medical Center, Jackson, MS 39216, USA.
| | - Yingchun Zhou
- KLATASDS-MOE, School of Statistics, East China Normal University, Shanghai 200062, China.
| | - Jun Zhang
- MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China; School of Public Health, Shanghai Jiao Tong University, Shanghai 200025, China.
| | - Peter E Clayton
- Division of Developmental Biology and Medicine, Faculty of Biology, Medicine and Health, University of Manchester and Manchester Academic Health Science Centre, Manchester M13 9PL, United Kingdom.
| | - Karen Spruyt
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; INSERM, University Claude Bernard, School of Medicine, Lyon, France.
| | - Fan Jiang
- Department of Developmental and Behavioral Pediatrics, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
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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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