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      A state-wide audit of unhealthy sponsorship within junior sporting clubs in Victoria, Australia

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          Abstract

          Objective:

          To systematically audit the extent of unhealthy sponsorship within junior community sporting clubs and ascertain whether differences exist across geographical areas and sport types.

          Design:

          Club sponsorship data were assessed to determine the extent of unhealthy food/beverage, alcohol and gambling sponsorship using a cross-sectional design. Differences across geographical areas were assessed using logistic regressions.

          Setting:

          A stratified random sampling procedure was used to select thirty communities across the state of Victoria, Australia. Within each community, local clubs across the top eight participating junior sports were selected for audit.

          Participants:

          Sponsorship data were collected from 191 club websites and Facebook pages in September–November 2019.

          Results:

          Unhealthy sponsorships represented 8·9 % of all identified sponsorship arrangements. A quarter of all clubs accepted alcohol (25·6 %) and unhealthy food sponsors (25·9 %), and one-fifth of all clubs accepted high-risk food (unhealthy brands with large market share) (18·1 %) and gambling sponsors (20·4 %). Acceptance of unhealthy sponsorship differed across sport types with football, netball, cricket and soccer clubs having the greatest numbers. Compared with metro areas, a significantly greater proportion of sporting clubs in regional areas were affiliated with unhealthy food (32·7 % v. 19·6 %) and high-risk food sponsors (26·9 % v. 9·8 %). A higher proportion of clubs in low socio-economic status (SES), compared with the high SES areas, were affiliated with alcohol (33·9 % v. 16·5 %) and gambling sponsors (27·4 % v. 12·6 %).

          Conclusion:

          Victorian children participating in community junior sports are being exposed to marketing of unhealthy brands and products. Public health intervention is necessary to protect children from this exposure.

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          Most cited references37

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          Health effects of dietary risks in 195 countries, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017

          Summary Background Suboptimal diet is an important preventable risk factor for non-communicable diseases (NCDs); however, its impact on the burden of NCDs has not been systematically evaluated. This study aimed to evaluate the consumption of major foods and nutrients across 195 countries and to quantify the impact of their suboptimal intake on NCD mortality and morbidity. Methods By use of a comparative risk assessment approach, we estimated the proportion of disease-specific burden attributable to each dietary risk factor (also referred to as population attributable fraction) among adults aged 25 years or older. The main inputs to this analysis included the intake of each dietary factor, the effect size of the dietary factor on disease endpoint, and the level of intake associated with the lowest risk of mortality. Then, by use of disease-specific population attributable fractions, mortality, and disability-adjusted life-years (DALYs), we calculated the number of deaths and DALYs attributable to diet for each disease outcome. Findings In 2017, 11 million (95% uncertainty interval [UI] 10–12) deaths and 255 million (234–274) DALYs were attributable to dietary risk factors. High intake of sodium (3 million [1–5] deaths and 70 million [34–118] DALYs), low intake of whole grains (3 million [2–4] deaths and 82 million [59–109] DALYs), and low intake of fruits (2 million [1–4] deaths and 65 million [41–92] DALYs) were the leading dietary risk factors for deaths and DALYs globally and in many countries. Dietary data were from mixed sources and were not available for all countries, increasing the statistical uncertainty of our estimates. Interpretation This study provides a comprehensive picture of the potential impact of suboptimal diet on NCD mortality and morbidity, highlighting the need for improving diet across nations. Our findings will inform implementation of evidence-based dietary interventions and provide a platform for evaluation of their impact on human health annually. Funding Bill & Melinda Gates Foundation.
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            Global burden of disease in young people aged 10-24 years: a systematic analysis.

            Young people aged 10-24 years represent 27% of the world's population. Although important health problems and risk factors for disease in later life emerge in these years, the contribution to the global burden of disease is unknown. We describe the global burden of disease arising in young people and the contribution of risk factors to that burden. We used data from WHO's 2004 Global Burden of Disease study. Cause-specific disability-adjusted life-years (DALYs) for young people aged 10-24 years were estimated by WHO region on the basis of available data for incidence, prevalence, severity, and mortality. WHO member states were classified into low-income, middle-income, and high-income countries, and into WHO regions. We estimated DALYs attributable to specific global health risk factors using the comparative risk assessment method. DALYs were divided into years of life lost because of premature mortality (YLLs) and years lost because of disability (YLDs), and are presented for regions by sex and by 5-year age groups. The total number of incident DALYs in those aged 10-24 years was about 236 million, representing 15·5% of total DALYs for all age groups. Africa had the highest rate of DALYs for this age group, which was 2·5 times greater than in high-income countries (208 vs 82 DALYs per 1000 population). Across regions, DALY rates were 12% higher in girls than in boys between 15 and 19 years (137 vs 153). Worldwide, the three main causes of YLDs for 10-24-year-olds were neuropsychiatric disorders (45%), unintentional injuries (12%), and infectious and parasitic diseases (10%). The main risk factors for incident DALYs in 10-24-year-olds were alcohol (7% of DALYs), unsafe sex (4%), iron deficiency (3%), lack of contraception (2%), and illicit drug use (2%). The health of young people has been largely neglected in global public health because this age group is perceived as healthy. However, opportunities for prevention of disease and injury in this age group are not fully exploited. The findings from this study suggest that adolescent health would benefit from increased public health attention. None. Copyright © 2011 Elsevier Ltd. All rights reserved.
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              Factors Influencing Children’s Eating Behaviours

              Relevant factors involved in the creation of some children’s food preferences and eating behaviours have been examined in order to highlight the topic and give paediatricians practical instruments to understand the background behind eating behaviour and to manage children’s nutrition for preventive purposes. Electronic databases were searched to locate and appraise relevant studies. We carried out a search to identify papers published in English on factors that influence children’s feeding behaviours. The family system that surrounds a child’s domestic life will have an active role in establishing and promoting behaviours that will persist throughout his or her life. Early-life experiences with various tastes and flavours have a role in promoting healthy eating in future life. The nature of a narrative review makes it difficult to integrate complex interactions when large sets of studies are involved. In the current analysis, parental food habits and feeding strategies are the most dominant determinants of a child’s eating behaviour and food choices. Parents should expose their offspring to a range of good food choices while acting as positive role models. Prevention programmes should be addressed to them, taking into account socioeconomic aspects and education.
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                Author and article information

                Contributors
                (View ORCID Profile)
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                Journal
                Public Health Nutrition
                Public Health Nutr.
                Cambridge University Press (CUP)
                1368-9800
                1475-2727
                May 26 2021
                : 1-8
                Article
                10.1017/S1368980021002159
                34034837
                da11854a-382c-4514-85fc-25af5d396150
                © 2021

                https://www.cambridge.org/core/terms

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