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      Systemic Barriers and Equitable Interventions to Improve Vegetable and Fruit Intake in Children: Interviews with National Food System Actors

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          Abstract

          Fruit and vegetable (FV) intake is declining in New Zealand, and over half of New Zealand’s children do not meet the recommendation of two serves of fruit and three serves of vegetables daily (with even lower adherence among children in high-deprivation neighbourhoods). The aim of this study was to map the potential causal pathways explaining this decline and possible actions to reverse it. Semi-structured interviews were held in April–May 2018 with 22 national actors from the produce industry, food distribution and retail sector, government, and NGO health organisations. The qualitative systems dynamics method of cognitive mapping was used to explore causal relationships within the food system that result in low FV intake among children. Barriers and solutions identified by participants were analysed using thematic analysis and according to a public health intervention framework. Participants were in agreement with the goal of improving FV intake for health and economic outcomes, and that health promotion strategies had been ineffectual to date due to multiple systemic barriers. Common barriers discussed were poverty, high food prices, low skills/knowledge, unhealthy food environments, climate change, and urbanization. Solutions with the strongest evidence of efficacy identified by the participants were subsidizing FVs and early childhood interventions to improve FV exposure.

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          Most cited references29

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          The impact of food prices on consumption: a systematic review of research on the price elasticity of demand for food.

          In light of proposals to improve diets by shifting food prices, it is important to understand how price changes affect demand for various foods. We reviewed 160 studies on the price elasticity of demand for major food categories to assess mean elasticities by food category and variations in estimates by study design. Price elasticities for foods and nonalcoholic beverages ranged from 0.27 to 0.81 (absolute values), with food away from home, soft drinks, juice, and meats being most responsive to price changes (0.7-0.8). As an example, a 10% increase in soft drink prices should reduce consumption by 8% to 10%. Studies estimating price effects on substitutions from unhealthy to healthy food and price responsiveness among at-risk populations are particularly needed.
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            Determinants of fruit and vegetable consumption among children and adolescents: a review of the literature. Part I: quantitative studies

            Background In order to more effectively promote fruit and vegetable intake among children and adolescents, insight into determinants of intake is necessary. We conducted a review of the literature for potential determinants of fruit and vegetable intake in children and adolescents. Methods Papers were identified from Medline and PsycINFO by using all combinations of the search terms: "fruit(s) or vegetable(s)" and "children or adolescents". Quantitative research examining determinants of fruit and/or vegetable intake among children and adolescents aged 6–18 years were included. The selection and review process was conducted according to a four-step protocol resulting in information on country, population, design, methodology, theoretical basis, instrument used for measuring intake, statistical analysis, included independent variables, and effect sizes. Results Ninety-eight papers were included. A large number of potential determinants have been studied among children and adolescents. However, for many presumed determinants convincing evidence is lacking, mostly because of paucity of studies. The determinants best supported by evidence are: age, gender, socio-economic position, preferences, parental intake, and home availability/accessibility. Girls and younger children tend to have a higher or more frequent intake than boys and older children. Socio-economic position, preferences, parental intake, and home availability/accessibility are all consistently positively associated with intake. Conclusion The determinants most consistently supported by evidence are gender, age, socio-economic position, preferences, parental intake and home availability/accessibility. There is a need for internationally comparative, longitudinal, theory-based and multi-level studies taking both personal and environmental factors into account. This paper is published as part of the special Pro Children series in the International Journal of Behavioral Nutrition and Physical Activity. Please see [] for the relevant editorial.
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              Cognitive mapping

              Colin Eden (1988)
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                Author and article information

                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                17 April 2019
                April 2019
                : 16
                : 8
                : 1387
                Affiliations
                [1 ]School of Population Health, University of Auckland, Auckland 1142, New Zealand; sophia.harre@ 123456auckland.ac.nz (S.H.); boyd.swinburn@ 123456auckland.ac.nz (B.S.); aren830@ 123456aucklanduni.ac.nz (A.R.-D.)
                [2 ]Synergia Consulting Ltd, Auckland 1011, New Zealand; david.rees@ 123456synergia.co.nz
                [3 ]School of Environment, University of Auckland, Auckland 1142, New Zealand; a.bartos@ 123456auckland.ac.nz
                [4 ]Department of Public Health, Amsterdam UMC, University of Amsterdam, 1105AZ Amsterdam, The Netherlands; w.e.waterlander@ 123456amc.uva.nl
                Author notes
                Author information
                https://orcid.org/0000-0002-8365-5023
                https://orcid.org/0000-0003-0956-178X
                Article
                ijerph-16-01387
                10.3390/ijerph16081387
                6518010
                30999659
                6171c773-9345-43c5-889f-f7943e7c8b97
                © 2019 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 20 March 2019
                : 15 April 2019
                Categories
                Article

                Public health
                child nutrition,systems dynamics,food system,food environment,fruit intake,vegetable intake

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