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      Associations between dimensions of the social environment and cardiometabolic risk factors: Systematic review and meta-analysis

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          Abstract

          Aim

          The social environment (SE), including social contacts, norms and support, is an understudied element of the living environment which impacts health. We aim to comprehensively summarize the evidence on the association between the SE and risk factors of cardiometabolic disease (CMD).

          Methods

          We performed a systematic review and meta-analysis based on studies published in PubMed, Scopus and Web of Science Core Collection from inception to 16 February 2021. Studies that used a risk factor of CMD, e.g., HbA1c or blood pressure, as outcome and social environmental factors such as area-level deprivation or social network size as independent variables were included. Titles and abstracts were screened in duplicate. Study quality was assessed using the Newcastle-Ottawa Scale. Data appraisal and extraction were based on the study protocol published in PROSPERO. Data were synthesized through vote counting and meta-analyses.

          Results

          From the 7521 records screened, 168 studies reported 1050 associations were included in this review. Four meta-analyses based on 24 associations suggested that an unfavorable social environment was associated with increased risk of cardiometabolic risk factors, with three of them being statistically significant. For example, individuals that experienced more economic and social disadvantage had a higher “CVD risk scores” (OR = 1.54, 95%CI: 1.35 to 1.84). Of the 458 associations included in the vote counting, 323 (71%) pointed towards unfavorable social environments being associated with higher CMD risk.

          Conclusion

          Higher economic and social disadvantage seem to contribute to unfavorable CMD risk factor profiles, while evidence for other dimensions of the social environment is limited.

          Highlights

          • Comprehensive systematic review and meta-analysis on the link between social environment and cardiometabolic risk factors.

          • Data synthesis from 168 studies reporting 1,050 associations.

          • Vote counting: 71% of associations pointed towards unfavourable social environments linked to higher CMD risk.

          • Meta-analysis: more economic and social disadvantage associated with higher “CVD risk scores”.

          • Substantial heterogeneity among the studies.

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          Most cited references223

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          The PRISMA 2020 statement: an updated guideline for reporting systematic reviews

          The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement, published in 2009, was designed to help systematic reviewers transparently report why the review was done, what the authors did, and what they found. Over the past decade, advances in systematic review methodology and terminology have necessitated an update to the guideline. The PRISMA 2020 statement replaces the 2009 statement and includes new reporting guidance that reflects advances in methods to identify, select, appraise, and synthesise studies. The structure and presentation of the items have been modified to facilitate implementation. In this article, we present the PRISMA 2020 27-item checklist, an expanded checklist that details reporting recommendations for each item, the PRISMA 2020 abstract checklist, and the revised flow diagrams for original and updated reviews.
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            Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin.

            Type 2 diabetes affects approximately 8 percent of adults in the United States. Some risk factors--elevated plasma glucose concentrations in the fasting state and after an oral glucose load, overweight, and a sedentary lifestyle--are potentially reversible. We hypothesized that modifying these factors with a lifestyle-intervention program or the administration of metformin would prevent or delay the development of diabetes. We randomly assigned 3234 nondiabetic persons with elevated fasting and post-load plasma glucose concentrations to placebo, metformin (850 mg twice daily), or a lifestyle-modification program with the goals of at least a 7 percent weight loss and at least 150 minutes of physical activity per week. The mean age of the participants was 51 years, and the mean body-mass index (the weight in kilograms divided by the square of the height in meters) was 34.0; 68 percent were women, and 45 percent were members of minority groups. The average follow-up was 2.8 years. The incidence of diabetes was 11.0, 7.8, and 4.8 cases per 100 person-years in the placebo, metformin, and lifestyle groups, respectively. The lifestyle intervention reduced the incidence by 58 percent (95 percent confidence interval, 48 to 66 percent) and metformin by 31 percent (95 percent confidence interval, 17 to 43 percent), as compared with placebo; the lifestyle intervention was significantly more effective than metformin. To prevent one case of diabetes during a period of three years, 6.9 persons would have to participate in the lifestyle-intervention program, and 13.9 would have to receive metformin. Lifestyle changes and treatment with metformin both reduced the incidence of diabetes in persons at high risk. The lifestyle intervention was more effective than metformin.
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              The Social Determinants of Health: It's Time to Consider the Causes of the Causes

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                Author and article information

                Contributors
                Journal
                SSM Popul Health
                SSM Popul Health
                SSM - Population Health
                Elsevier
                2352-8273
                25 November 2023
                March 2024
                25 November 2023
                : 25
                : 101559
                Affiliations
                [a ]Department of Epidemiology & Data Science, Amsterdam UMC - location VUmc, Amsterdam, Noord-Holland, the Netherlands
                [b ]Upstream Team, the Netherlands
                [c ]University Library, Vrije Universiteit Amsterdam, Amsterdam, Noord-Holland, the Netherlands
                [d ]Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Utrecht, the Netherlands
                [e ]Amsterdam Public Health, Amsterdam Cardiovascular Sciences, Amsterdam, Noord-Holland, the Netherlands
                Author notes
                []Corresponding author. Amsterdam UMC location AMC, Department Epidemiology and Data Science, J1B -225, Meibergdreef 9, 1105 AZ, Amsterdam, the Netherlands. t.c.abreu@ 123456amsterdamumc.nl
                [1]

                These authors contributed equally to this work and have shared first authorship.

                Article
                S2352-8273(23)00224-0 101559
                10.1016/j.ssmph.2023.101559
                10749911
                38148999
                c82187a1-9ca4-452a-b244-a7d08d273191
                © 2023 The Authors

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 3 August 2023
                : 27 October 2023
                : 11 November 2023
                Categories
                Review Article

                social epidemiology,social context,social networking,socioeconomic factors,social determinants of health,cardiovascular diseases,metabolic diseases,deprivation,exposome

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