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      Consumption of sugar-sweetened beverages and artificially sweetened beverages from childhood to adulthood in relation to socioeconomic status – 15 years follow-up in Norway

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          Abstract

          Background

          In Norway, social inequalities in health and health-related behaviors have been reported despite the well-developed welfare state. The objective of the present study was to analyze; (i) the development in frequency of consumption of sugar-sweetened beverages (SSB) and artificially sweetened beverages (ASB) from childhood to adulthood; (ii) socioeconomic inequalities in the consumption of SSB and ASB using different indicators of socioeconomic status (SES); (iii) time trends in potential disparities in SSB and ASB consumption among different socioeconomic groups to assess the development in socioeconomic inequality from childhood to adulthood.

          Methods

          This study uses data from the Fruits and Vegetables Make the Marks (FVMM) longitudinal cohort, including participants ( n = 437) from 20 random schools from two Norwegian counties. Data from the first survey in 2001 (mean age 11.8) and follow-up surveys in 2005 (mean age 15.5) and 2016 (mean age 26.5) were used. Consumption of SSB and ASB were measured using a food frequency questionnaire, which the participants completed at school in 2001 and 2005, and online in 2016. Various indicators of SES were included; in 2001, parental education and income were measured, in 2005, participants’ educational intentions in adolescence were measured, and in 2016, participants’ own education and income were measured. The main analyses conducted were linear mixed effects analysis of the repeated measures.

          Results

          Between 2001 and 2016, a decrease in frequency of consumption of SSB (2.8 v 1.3 times/week; p = < 0.001) and an increase in frequency of consumption of ASB (1.1 v 1.6 times/week; p = 0.002) were observed. Participants with a higher educational level in adulthood and higher educational intentions in adolescence had a significantly lower frequency of consumption of SSB at all time points (2001, 2005 and 2016). No significant widening (or narrowing) of inequalities were observed from childhood to adulthood.

          Conclusions

          A decrease in consumption of SSB and an increase in consumption of ASB from childhood to adulthood were found. Participants with high SES consumed in general less SSB (but not ASB), however, results varied depending on SES indicator used. The established inequalities persisted from childhood to adulthood.

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          Most cited references60

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          Socioeconomic status in health research: one size does not fit all.

          Problems with measuring socioeconomic status (SES)-frequently included in clinical and public health studies as a control variable and less frequently as the variable(s) of main interest-could affect research findings and conclusions, with implications for practice and policy. We critically examine standard SES measurement approaches, illustrating problems with examples from new analyses and the literature. For example, marked racial/ethnic differences in income at a given educational level and in wealth at a given income level raise questions about the socioeconomic comparability of individuals who are similar on education or income alone. Evidence also shows that conclusions about nonsocioeconomic causes of racial/ethnic differences in health may depend on the measure-eg, income, wealth, education, occupation, neighborhood socioeconomic characteristics, or past socioeconomic experiences-used to "control for SES," suggesting that findings from studies that have measured limited aspects of SES should be reassessed. We recommend an outcome- and social group-specific approach to SES measurement that involves (1) considering plausible explanatory pathways and mechanisms, (2) measuring as much relevant socioeconomic information as possible, (3) specifying the particular socioeconomic factors measured (rather than SES overall), and (4) systematically considering how potentially important unmeasured socioeconomic factors may affect conclusions. Better SES measures are needed in data sources, but improvements could be made by using existing information more thoughtfully and acknowledging its limitations.
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            Socioeconomic Status and Health: What We Know and What We Don't

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              What types of interventions generate inequalities? Evidence from systematic reviews.

              Some effective public health interventions may increase inequalities by disproportionately benefiting less disadvantaged groups ('intervention-generated inequalities' or IGIs). There is a need to understand which types of interventions are likely to produce IGIs, and which can reduce inequalities. We conducted a rapid overview of systematic reviews to identify evidence on IGIs by socioeconomic status. We included any review of non-healthcare interventions in high-income countries presenting data on differential intervention effects on any health status or health behaviour outcome. Results were synthesised narratively. The following intervention types show some evidence of increasing inequalities (IGIs) between socioeconomic status groups: media campaigns; and workplace smoking bans. However, for many intervention types, data on potential IGIs are lacking. By contrast, the following show some evidence of reducing health inequalities: structural workplace interventions; provision of resources; and fiscal interventions, such as tobacco pricing. Our findings are consistent with the idea that 'downstream' preventive interventions are more likely to increase health inequalities than 'upstream' interventions. More consistent reporting of differential intervention effectiveness is required to help build the evidence base on IGIs.
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                Author and article information

                Contributors
                kathrinebolt.e@gmail.com
                froydis.n.vik@uia.no
                tonje.h.stea@uia.no
                k.i.klepp@medisin.uio.no
                +47 38 14 23 29 , elling.bere@uia.no
                Journal
                Int J Behav Nutr Phys Act
                Int J Behav Nutr Phys Act
                The International Journal of Behavioral Nutrition and Physical Activity
                BioMed Central (London )
                1479-5868
                17 January 2018
                17 January 2018
                2018
                : 15
                : 8
                Affiliations
                [1 ]ISNI 0000 0004 0417 6230, GRID grid.23048.3d, Department of Public Health, Sport and Nutrition, Faculty of Health and Sport Sciences, , University of Agder, ; PO. Box 422, 4604 Kristiansand, Norway
                [2 ]ISNI 0000 0004 1936 8921, GRID grid.5510.1, Department of Nutrition, Faculty of Medicine, , University of Oslo, ; Oslo, Norway
                Author information
                http://orcid.org/0000-0002-0159-5486
                Article
                646
                10.1186/s12966-018-0646-8
                5773139
                29343247
                68853bda-0e8f-451f-8e06-ff4d6c36d4f8
                © The Author(s). 2018

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 7 July 2017
                : 9 January 2018
                Categories
                Research
                Custom metadata
                © The Author(s) 2018

                Nutrition & Dietetics
                sugar-sweetened beverages,artificially sweetened beverages,socioeconomic status,time trends,longitudinal

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