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      Reducing salt intake: a systematic review and meta-analysis of behavior change interventions in adults

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          Abstract

          Context

          Prolonged high salt (sodium) intake can increase the risk of hypertension and cardiovascular disease. Behavioral interventions may help reduce sodium intake at the population level.

          Objective

          The effectiveness of behavior change interventions to reduce sodium intake in adults was investigated in this systematic review and meta-analysis.

          Data source

          The PubMed, Cochrane Library, Cumulative Index to Nursing and Allied Health Literature, and EMBASE databases were searched.

          Data extraction

          Narrative synthesis and random-effects meta-analyses were used to determine intervention efficacy. A total of 61 trials (46 controlled trials and 15 quasi-experimental studies) were included.

          Results

          Behavior change interventions resulted in significant improvements in salt consumption behavior (eg, decrease in purchase of salty foods; increase in use of salt substitutes), leading to reductions in sodium intake as measured by urinary sodium in 32 trials (N = 7840 participants; mean difference, –486.19 mg/d [95%CI, –669.44 to –302.95]; P < 0.001; I 2 = 92%) and dietary sodium in 19 trials (N = 3750 participants; mean difference –399.86 mg/d [95%CI, –581.51 to –218.20]; P < 0.001; I 2 = 96%), equivalent to a reduction of >1 g of salt intake daily. Effects were not significantly different based on baseline sodium intakes, blood pressure status, disease status, the use of behavior change theories, or the main method of intervention delivery (ie, online vs face-to-face).

          Conclusion

          Behavior change interventions are effective at improving salt consumption practices and appear to reduce salt intake by >1 g/d.

          Systematic Review Registration

          PROSPERO registration no. CRD42020185639.

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          Most cited references77

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          The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials

          Flaws in the design, conduct, analysis, and reporting of randomised trials can cause the effect of an intervention to be underestimated or overestimated. The Cochrane Collaboration’s tool for assessing risk of bias aims to make the process clearer and more accurate
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            PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews

            The methods and results of systematic reviews should be reported in sufficient detail to allow users to assess the trustworthiness and applicability of the review findings. The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement was developed to facilitate transparent and complete reporting of systematic reviews and has been updated (to PRISMA 2020) to reflect recent advances in systematic review methodology and terminology. Here, we present the explanation and elaboration paper for PRISMA 2020, where we explain why reporting of each item is recommended, present bullet points that detail the reporting recommendations, and present examples from published reviews. We hope that changes to the content and structure of PRISMA 2020 will facilitate uptake of the guideline and lead to more transparent, complete, and accurate reporting of systematic reviews.
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              How to perform a meta-analysis with R: a practical tutorial

              Meta-analysis is of fundamental importance to obtain an unbiased assessment of the available evidence. In general, the use of meta-analysis has been increasing over the last three decades with mental health as a major research topic. It is then essential to well understand its methodology and interpret its results. In this publication, we describe how to perform a meta-analysis with the freely available statistical software environment R, using a working example taken from the field of mental health. R package meta is used to conduct standard meta-analysis. Sensitivity analyses for missing binary outcome data and potential selection bias are conducted with R package metasens. All essential R commands are provided and clearly described to conduct and report analyses. The working example considers a binary outcome: we show how to conduct a fixed effect and random effects meta-analysis and subgroup analysis, produce a forest and funnel plot and to test and adjust for funnel plot asymmetry. All these steps work similar for other outcome types. R represents a powerful and flexible tool to conduct meta-analyses. This publication gives a brief glimpse into the topic and provides directions to more advanced meta-analysis methods available in R.
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                Author and article information

                Journal
                Nutr Rev
                Nutr Rev
                nutritionreviews
                Nutrition Reviews
                Oxford University Press
                0029-6643
                1753-4887
                April 2022
                17 December 2021
                17 December 2021
                : 80
                : 4
                : 723-740
                Affiliations
                [1 ] Appelton Institute & School of Health, Medical and Applied Sciences, Central Queensland University , Rockhampton & Brisbane, Queensland, Australia
                [2 ] Menzies Health Institute Queensland and School of Health Sciences and Social Work, Griffith University , Gold Coast, Queensland, Australia
                [3 ] Centre for Kidney Disease Research, University of Queensland , Brisbane, Queensland, Australia
                [4 ] Translational Research Institute , Brisbane, Queensland, Australia
                [5 ] MetroSouth Integrated Nephrology and Transplant Services (MINTS), Princess Alexandra Hospital , Brisbane, Queensland, Australia
                [6 ] The George Institute for Global Health, University of New South Wales , Sydney, New South Wales, Australia
                [7 ] Faculty of Science, School of Psychology, University of Sydney , Sydney, New South Wales, Australia
                [8 ] InfoClin Inc , Ontario, Toronto, Canada
                Author notes
                S. Khalesi, School of Health, Medical and Applied Sciences, Central Queensland University, Brisbane, 4000 QLD, Australia. E-mail: s.khalesi@ 123456cqu.edu.au .
                Author information
                https://orcid.org/0000-0002-8208-2518
                https://orcid.org/0000-0003-3513-3340
                https://orcid.org/0000-0002-4445-8094
                Article
                nuab110
                10.1093/nutrit/nuab110
                8907486
                34921314
                0723f0b8-02f5-438d-b7ac-da27b292ba3b
                © The Author(s) 2021. Published by Oxford University Press on behalf of the International Life Sciences Institute.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence ( https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

                History
                Page count
                Pages: 18
                Funding
                Funded by: National Heart Foundation of Australia, DOI 10.13039/501100001030;
                Award ID: 102584
                Categories
                Lead Articles
                AcademicSubjects/MED00060

                Nutrition & Dietetics
                behavior modification,diet,hypertension,salt intake
                Nutrition & Dietetics
                behavior modification, diet, hypertension, salt intake

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