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      Socioeconomic factors, body mass index and bariatric surgery: a Swedish nationwide cohort study

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          Abstract

          Background

          Bariatric surgery is considered to be the most effective method of weight loss today. The aim of the present Swedish study, which was performed in a country that has universal health care, was to investigate if there is an association between socioeconomic factors and bariatric surgery by taking body mass index (BMI) into account.

          Methods

          In this prospective cohort study, BMI data were collected for the period 1985–2010 from the Military Service Conscription Register (for men) and from the Medical Birth Register in the first trimester (for women). The follow-up period started in 2005 and continued until 2012. Age-standardized cumulative incidence rates (CR) of bariatric surgery were compared between different BMI groups by considering individual variables. We analyzed the association between the individual variables and bariatric surgery using Cox proportional hazard models.

          Results

          In the study population of 814,703 women and 787,027 men, a total of 7433 women and 1961 men underwent bariatric surgery. In women, the hazard ratios (HRs) for bariatric surgery were higher for low and middle income and educational levels, compared to high income and educational levels. In men, the highest HR for bariatric surgery was found among those with a high income. The HRs when comparing the different socioeconomic groups in those with BMI > 40 kg/m 2 showed no significant results, except for middle education in women.

          Conclusion

          Differences in bariatric surgery between socioeconomic groups were found, favoring those with a low socioeconomic status. However, very few socioeconomic differences were found amongst those who had a BMI > 40 kg/m 2. This indicates that the Swedish healthcare system seems to have achieved equal access to health care for bariatric surgery.

          Electronic supplementary material

          The online version of this article (10.1186/s12889-019-6585-8) contains supplementary material, which is available to authorized users.

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          Most cited references12

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          Screening and interventions for obesity in adults: summary of the evidence for the U.S. Preventive Services Task Force.

          Obesity poses a considerable and growing health burden. This review examines evidence for screening and treating obesity in adults. MEDLINE and Cochrane Library (January 1994 through February 2003). Systematic reviews; randomized, controlled trials; and observational studies of obesity's health outcomes or efficacy of obesity treatment. Two reviewers independently abstracted data on study design, sample, sample size, treatment, outcomes, and quality. No trials evaluated mass screening for obesity, so the authors evaluated indirect evidence for efficacy. Pharmacotherapy or counseling interventions produced modest (generally 3 to 5 kg) weight loss over at least 6 or 12 months, respectively. Counseling was most effective when intensive and combined with behavioral therapy. Maintenance strategies helped retain weight loss. Selected surgical patients lost substantial weight (10 to 159 kg over 1 to 5 years). Weight reduction improved blood pressure, lipid levels, and glucose metabolism and decreased diabetes incidence. The internal validity of the treatment trials was fair to good, and external validity was limited by the minimal ethnic or gender diversity of volunteer participants. No data evaluated counseling harms. Primary adverse drug effects included hypertension with sibutramine (mean increase, 0 mm Hg to 3.5 mm Hg) and gastrointestinal distress with orlistat (1% to 37% of patients). Fewer than 1% (pooled samples) of surgical patients died; up to 25% needed surgery again over 5 years. Counseling and pharmacotherapy can promote modest sustained weight loss, improving clinical outcomes. Pharmacotherapy appears safe in the short term; long-term safety has not been as strongly established. In selected patients, surgery promotes large amounts of weight loss with rare but sometimes severe complications.
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            The contribution of risk factors to socioeconomic inequalities in multimorbidity across the lifecourse: a longitudinal analysis of the Twenty-07 cohort

            Background Multimorbidity is a major challenge to health systems globally and disproportionately affects socioeconomically disadvantaged populations. We examined socioeconomic inequalities in developing multimorbidity across the lifecourse and investigated the contribution of five behaviour-related risk factors. Methods The Twenty-07 study recruited participants aged approximately 15, 35, and 55 years in 1987 and followed them up over 20 years. The primary outcome was development of multimorbidity (2+ health conditions). The relationship between five different risk factors (smoking, alcohol consumption, diet, body mass index (BMI), physical activity) and the development of multimorbidity was assessed. Social patterning in the development of multimorbidity based on two measures of socioeconomic status (area-based deprivation and household income) was then determined, followed by investigation of potential mediation by the five risk factors. Multilevel logistic regression models and predictive margins were used for statistical analyses. Socioeconomic inequalities in multimorbidity were quantified using relative indices of inequality and attenuation assessed through addition of risk factors. Results Multimorbidity prevalence increased markedly in all cohorts over the 20 years. Socioeconomic disadvantage was associated with increased risk of developing multimorbidity (most vs least deprived areas: odds ratio (OR) 1.46, 95% confidence interval (CI) 1.26–1.68), and the risk was at least as great when assessed by income (OR 1.53, 95% CI 1.25–1.87) or when defining multimorbidity as 3+ conditions. Smoking (current vs never OR 1.56, 1.36–1.78), diet (no fruit/vegetable consumption in previous week vs consumption every day OR 1.57, 95% CI 1.33–1.84), and BMI (morbidly obese vs healthy weight OR 1.88, 95% CI 1.42–2.49) were strong independent predictors of developing multimorbidity. A dose–response relationship was observed with number of risk factors and subsequent multimorbidity (3+ risk factors vs none OR 1.91, 95% CI 1.57–2.33). However, the five risk factors combined explained only 40.8% of socioeconomic inequalities in multimorbidity development. Conclusions Preventive measures addressing known risk factors, particularly obesity and smoking, could reduce the future multimorbidity burden. However, major socioeconomic inequalities in the development of multimorbidity exist even after taking account of known risk factors. Tackling social determinants of health, including holistic health and social care, is necessary if the rising burden of multimorbidity in disadvantaged populations is to be redressed. Electronic supplementary material The online version of this article (doi:10.1186/s12916-017-0913-6) contains supplementary material, which is available to authorized users.
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              Racial, socioeconomic, and rural-urban disparities in obesity-related bariatric surgery.

              Morbid obesity is associated with serious health and social consequences, high medical costs and is increasing in the USA, particularly among rural, socioeconomically disadvantaged populations. Bariatric surgery more often provides significant long-term weight loss than traditional weight loss treatments. We examined the likelihood of bariatric surgery among morbidly obese patients across rural/urban locales, racial/ethnic groups, insurance categories, socioeconomic, and comorbidity levels. We examined 159,116 records representing 774,000 patients with morbid obesity from the 2006 Nationwide Inpatient Sample. We determined the likelihood, expressed in odds ratios, of bariatric surgery associated with each patient characteristic using survey-weighted univariate logistic regression. We also performed multivariate logistic regression, assuming all patient factors were independent. After adjusting for patient-level characteristics, the most rural residents were 23% less likely to receive bariatric surgery than urban residents. Other demographic features associated with significantly lower odds ratios for bariatric surgery included minority status, male gender, lower income, older age, non-private insurance status, and higher comorbidity. Rural-dwelling patients who are non-white, male, poorer, older, sicker, and non-privately insured almost never received bariatric surgery (OR = 0.0089). Though obesity is more prevalent among middle-aged, rural, economically disadvantaged, and racial/ethnic minority populations, these patients are unlikely to access bariatric surgery. Because obesity is a leading cause of preventable morbidity and mortality in the USA, effective treatments should be made available to all patients who might benefit. Current Medicare/Medicaid policies that reimburse only high volume centers may effectively deny rural residents who rely on these insurance programs for bariatric surgery.
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                Author and article information

                Contributors
                +46-40-391381 , ensieh@hotmail.com , ensieh.memarian@med.lu.se
                kristina.sundquist@med.lu.se
                susanna.calling@med.lu.se
                jan.sundquist@med.lu.se
                xinjun.li@med.lu.se
                Journal
                BMC Public Health
                BMC Public Health
                BMC Public Health
                BioMed Central (London )
                1471-2458
                4 March 2019
                4 March 2019
                2019
                : 19
                : 258
                Affiliations
                [1 ]Center for Primary Health Care Research, Lund University, Skåne University Hospital, Region Skåne CRC, Building 28, floor 11, Jan Waldenströms gata 35, 205 02 Malmö, Sweden
                [2 ]ISNI 0000 0001 0670 2351, GRID grid.59734.3c, Department of Family Medicine and Community Health, Department of Population Health Science and Policy, , Icahn School of Medicine at Mount Sinai, ; New York, USA
                Author information
                http://orcid.org/0000-0002-8214-917X
                Article
                6585
                10.1186/s12889-019-6585-8
                6399907
                30832621
                0334c4c0-c6a0-4a70-a1e2-a2b5438adc64
                © The Author(s). 2019

                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
                : 5 September 2018
                : 22 February 2019
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100003173, Crafoordska Stiftelsen;
                Award ID: 20171054
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100003793, Hjärt-Lungfonden;
                Award ID: R01HL116381
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2019

                Public health
                bmi,bariatric surgery,socioeconomic status
                Public health
                bmi, bariatric surgery, socioeconomic status

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