- Research article
- Open Access
Socioeconomic factors, body mass index and bariatric surgery: a Swedish nationwide cohort study
BMC Public Health volume 19, Article number: 258 (2019)
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.
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.
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/m2 showed no significant results, except for middle education in women.
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/m2. This indicates that the Swedish healthcare system seems to have achieved equal access to health care for bariatric surgery.
Obesity, defined as having a body mass index (BMI) of 30 kg/m2 and over, is one of the major modifiable causes of preventable death in the developed world [1, 2]. Conventional interventions for weight loss, such as lifestyle modifications (healthy diet and exercise), have often been ineffective in maintaining a sustained weight loss, particularly in individuals with severe obesity (BMI > 40 kg /m2) . Due to the enormous clinical burden and ineffectiveness of conventional interventions against obesity [4, 5], it has been highly needed to develop innovative and cost-effective strategies for the treatment of obesity. Today, bariatric surgery is considered to be the most effective strategy to achieve both sustained weight loss and significant improvements in obesity-related comorbidities and quality of life as well as a reduction in mortality in individuals with obesity. Bariatric surgery has also been proven to be cost-effective [6,7,8].
The utilization of bariatric surgery has increased worldwide due to both an increasing incidence of sever obesity and the expanding evidence of the beneficial effects of surgery . In Sweden, there has been a large increase in bariatric surgery after 2005 , presumably in response to a report from the Swedish Council on Technology Assessment in Health Care  and the Swedish Obese Subjects study . In Sweden, individuals are eligible for bariatric surgery if they are refractory to nonsurgical therapy and have severe obesity or a BMI > 35 kg/m2 in addition to a major obesity-related comorbidity  (the same criteria as those from the National Institutes of Health) [9, 14].
In countries that have private health insurance (e.g. USA), socioeconomic factors may significantly influence which individuals receive bariatric surgery despite medical eligibility . Sweden has a universal healthcare insurance system, which means that financial resources should not be a barrier for obesity surgery. According to Swedish law, the tax-financed health care service should be provided on equal terms for the entire population and those who are in the greatest need of health care should be prioritized . In a previous study of ours, however, we found that individuals with a low socioeconomic status underwent bariatric surgery to a lower extent than those with a higher socioeconomic status . This is despite the higher rates of obesity being among individuals with a low socioeconomic status. However, we did not have access to BMI data in our previous study. In the present study, we have access to individual BMI data from two different nationwide registers for men and women. The aim of the present study was to investigate whether differences in the access to bariatric surgery exist for different socioeconomic groups after accounting for BMI. To the authors’ knowledge, this is the first nationwide study examining potential socioeconomic differences in the access to bariatric surgery after having taken BMI into account.
Data used in this study were obtained from nationwide registers [17, 18]. The Swedish Medical Birth Register, which is a register of all pregnancies, prenatal care and birth records for all mothers and children in Sweden since 1973, was used to obtain information about women’s weight, height and BMI. A pregnant woman’s first contact with the health care service is during the first trimester.
The Military Conscription Register, which includes a structured and standardized medical assessment of all Swedish men since 1969, was used to obtain information about men’s weight, height and BMI. Men of foreign citizenship and those with a severe disability were excluded from military service. The Total Population Register, maintained by Statistics Sweden, the Swedish government-owned census bureau, was used to obtain the demographic and socioeconomic variables. Additional linkages in the database included data from the National Cause of Death Register and the Immigration Register (to identify dates of immigration and/or emigration). Information about surgical procedures were obtained from the Swedish Inpatient Register maintained by the National Board of Health and Welfare. Data linkages were performed on the basis of a personal identification number that is assigned to each permanent resident in Sweden for their lifetime. This number was replaced by a serial number for each person to provide anonymity. The initial population for women was 913,288 and for men 922,982, before exclusion.
Exclusion criteria were the following:
Individuals who were older than 65 years in 2005 (born earlier than 1950) and thus not eligible for bariatric surgery
Individuals with missing data
Individuals who emigrated before 2005
Individuals who died before 2005
Those with BMI > 90 kg/m2 (one person) and BMI < 15 kg/m2
Individuals whose BMI was assessed after the obesity surgery
Men younger than 18 and older than 27 years at baseline (based on the age distribution of those conscripted)
Women younger than 18 and older than 39 years at baseline (based on the age distribution of women in the study population)
The final study populations were 814,703 for women and 787,027 for men. Only individuals whose BMI was measured during the period 1985–2010 were included. The follow-up period started on January 1, 2005, and proceeded until first hospitalization for bariatric surgery, death, emigration, or the end of the study period on December 31, 2012.
We used the Swedish Inpatient Register to identify those who had undergone bariatric surgery. The Swedish Classification of Operations and Major Procedures was used to identify patients undergoing bariatric surgery: gastroplasty (JDF00-JDF21), gastric bypass (JDF10-JDF-11) and gastric banding (JDF20-JDF21). Since there was a large increase in the number of bariatric surgery procedures after 2005 , we used the period between 2005 and 2012 to determine the number of procedures.
Men and women
For men, we included the 98% of men who were aged between 18 and 27 years at the time of conscription of whom 96.5% were 18–20 years old. For women, we included the 98% of women who were aged between 18 and 39 years (i.e., women in childbearing ages). The birth years were 1958–1989 for men and 1950–1989 for women.
Family income was calculated at start of follow up, 2005, as annual family income divided by the number of members in the family. The income calculation was weighted, taking the ages of the family members into account. For example, children were given lower consumption weights than adults. The calculation was performed as follows: the sum of all family members’ incomes was multiplied by the individual’s consumption weight divided by the family members’ total consumption weight . The final variable was calculated as empirical quartiles from the distribution  and classified as low, middle-low, middle-high, and high. In our previous study , there was an overlap between the middle-low and middle-high income groups. As a result of this, we combined these two groups to create one middle-income group, which consisted of 50% of the population.
Educational attainment was classified as follows:
Low: completion of compulsory school or less (< 9 years)
Intermediate: completed or partial high school (10–12 years)
High: college and/or university (> 12 years)
Employment was defined as yes or no.
Marital status was classified as married/cohabiting or single (defined as unmarried, divorced or widowed).
Body mass index (BMI) is a simple index of weight-for-height, which is commonly used to classify overweight and obesity in adults. It is defined as a person’s weight in kilograms divided by the square of the person’s height in meters (kg/m2) .
We divided the population in the following BMI groups according to the WHO classification:
BMI < 25 (underweight and normal weight)
BMI 25–29.99 (overweight)
BMI 30–39.99 (obese class I and II)
BMI > 40 (obese class III/severely obese)
Criteria for obesity surgery in Sweden is chronic (> 5 year) obesity class III (BMI > 40 kg/m2) or chronic obesity class II and at least one obesity comorbidity, e.g. sleep apnea, diabetes type II.
For men, the time point for the BMI calculation was at conscription for military service. For women, the time point was at the first contact with a maternity clinic during their first pregnancy. There is a time lag between the BMI measurement and obesity surgery. This time lag can lead to changes in BMI. This is probably the explanation why some individuals with normal BMI or BMI 25–29 kg/m2 at baseline have undergone surgery later.
Outliers were judged to be incorrect measures and were excluded.
All statistical analyses were performed using STATA version 14.1. Age-standardized cumulative incidence rates (CR) of bariatric surgery were compared between different BMI groups considering the other individual variables. Age was standardized according to the age in the study population. A p value of <.05 was considered statistically significant. Estimates were calculated based on a 95% confidence interval (CI).
The associations between the individual variables and bariatric surgery were analyzed with Cox proportional hazards models. Cox proportional hazard models were used to study the association between certain events (in this case bariatric surgery) and the time it takes for this event to occur. In this study, the time period started on January 1, 2005, and proceeded until first hospitalization for bariatric surgery, death, emigration, or the end of the study period on December 31, 2012.
Both a univariate, adjusted for BMI and a multivariate Cox regression model including all variables were calculated.
Interaction tests were performed in order to examine whether the association between BMI and surgery was affected by any of the individual characteristics.
Tables 1 and 2 show the female (n = 814,703) and male (n = 787,027) study population included in the study. A total of 7433 women and 1961 men underwent bariatric surgery between 2005 and 2012. Among both women and men, the prevalence of individuals with high income, high education, employment and who were married/cohabiting was highest in the group with BMI < 25 kg/m2, whereas the prevalence of individuals with low income, low education, no employment and who were single were highest in the groups with BMI 30–39 kg/m2 and > 40 kg/m2 .
The age-adjusted cumulative rates of bariatric surgery for the different BMI groups and by individual characteristics are presented in Table 3 (women) and Table 4 (men). The highest rates are underlined and in bold. The unadjusted rates of bariatric surgery are presented in Additional files 1 and 2: Tables S1a and S1b.
Table 5 shows hazard ratios (HRs) for bariatric surgery in the women and men, respectively, by the individual characteristics in three different models, where model 1 is univariate, model 2 is adjusted for BMI and model 3 is multivariate (adjusted for all the included variables, i.e. BMI, income, education, employment and marital status). In women, the HRs for bariatric surgery were higher for low and middle levels of income and education compared to high income and educational levels. The HRs were also higher for those who were employed and/or were married/cohabiting. In men, low and middle family income was associated with higher HRs only in model 1. After controlling for the other individual factors, the highest HR for bariatric surgery was found among those with a high income. Low and middle levels of education were strongly associated with bariatric surgery; e.g. the HR was 2.6 [95% CI: 2.4–2.9] for a middle educational level. As in women, the highest HRs were found in those who were employed and/or were married/cohabiting.
We estimated the HRs for the different individual characteristics stratified by BMI to further analyze the association between socioeconomic factors and bariatric surgery. The results are presented in Table 6, which shows the results, stratified for those with BMI > 40 kg/m2 and BMI 30–39 kg/m2, in multivariate models. In those with BMI > 40 kg/m2, none of the socioeconomic variables were associated with bariatric surgery, except for middle educational level in women. In those with BMI 30–39 kg/m2, women had higher HRs for low and middle family income and education. Those women who were single had a lower HR than those who were married/cohabiting. For men, the HR was significantly higher for low and middle education. The same analysis was conducted for individuals with BMI 35–39 kg/m2; however, the results were almost unchanged compared to the results in Table 6 for BMI > 40 kg/m2 (data not presented in tables). As an additional analysis, we included age as a confounder in Table 6 and the results remained almost identical.
The interaction test between bariatric surgery and BMI was performed considering the different individual characteristics. The interactions that were statistically significant are presented in the Additional files 3: Figure S1 and Additional files 4: Figure S2. Except for marital status in men, we did not find a clear pattern in the potentially differential effects of SES on bariatric surgery. Thus, the clinical significance of these interactions is unclear. The effect of BMI on surgery for men was modified by marital status, i.e. those who were married had a higher rate of surgery.
The main findings of the present study are that socioeconomic differences exist between individuals who receive bariatric surgery in Sweden and those who do not. However, in severely obese individuals (BMI > 40 kg/m2), these differences disappeared with the exception of women with middle educational level who had higher rates of surgery. Sweden has universal health care, which enable individuals with BMI > 40 kg/m2 to receive publicly funded bariatric surgery. This might be the explanation to diminishing socioeconomic differences between individuals with BMI > 40 kg/m2. A study by Krajewski et al. showed that access to emergency operative care was related to SES in the United States where most individuals have private health insurance, whereas in Canada, with universal health insurance, no such relationship was found .
In 2006, almost 1500 individuals underwent bariatric surgery in Sweden. According to previous estimations, there were 10,000–15,000 individuals who could be eligible for surgery . This indicates that bariatric surgery access may not meet the demand due to factors beyond SES, such as prioritization in healthcare utilization.
We hypothesized that the potential effect of socioeconomic factors was higher for individuals with BMI < 40 kg/m2, who are not eligible for publicly funded bariatric surgery unless BMI is ≥35 kg/m2 in addition to the presence of an obesity-related comorbidity. These individuals might receive bariatric surgery in case they are able to finance the surgery with their own financial resources. Nevertheless, the results of this study show that women with low and middle family income and education and men with low and middle education had higher HRs for bariatric surgery. This might be explained by the fact that we did not have access to all data concerning privately paid bariatric surgeries. It is possible that some inequality in SES exists for those with BMI < 40 kg/m2.
In the present study, the HRs for bariatric surgery were higher for low and middle income and educational levels for women even when adjusted for BMI and the other variables. Similarly, the HRs for men were higher for low and middle educational groups even when adjusted for all other variables. These results complement findings from our previous study  where the HRs were higher for those with low and middle income and educational level. One limitation of our earlier study  was that we did not have access to BMI data, which was overcome in the current study. According to another Swedish study, the increase in obesity between 2000 and 2012 was steepest among those with a middle educational level and, in 2012, the prevalence of obesity was almost twice as high among those with a low or middle educational level compared with those with a high educational level .
An Australian study showed that bariatric surgery rates were higher among those with higher SES . In contrast, our earlier study indicated that individuals with high income and education underwent bariatric surgery to a lower extent, which we interpreted was due to the lower prevalence of obesity in this group. According to the current study, however, the HRs were also lower among those with a high income and educational level (for women) and those with a high educational level (for men), whereas the HR in men was lowest among those with a low income. This socioeconomic difference disappeared, however, when we examined those with a BMI > 40 kg/m2. The reasons behind our results are not possible to disentangle in the present study but some explanations behind the lower HRs for bariatric surgery among individuals with high SES are plausible. The first explanation is that those with high income may be able to pay for their surgery with private resources even if they are not eligible for publicly funded surgery according to national guidelines. Not all individuals that pay for the surgery with private resources might be included in our data. Another explanation is that those with a high income and/or education may have fewer comorbidities , use alternative methods for weight reduction and/or are more aware of complications of surgery for why they opt out this alternative. Another explanation might be the time lag between the BMI measurement and the surgery, which could mean that those with a high education and/or income succeeded to lose weight and were therefore not eligible or in need of surgery. However, a Swedish longitudinal study showed that BMI increased in all age groups in Sweden between 1980 and 2005, even after controlling for education . That study also showed that the largest increase in BMI was in young and middle-aged individuals, which are the individuals included in the present study.
It seems that the patterns of socioeconomic characteristics differ between men and women except for education, which shows a higher HR for surgery in the middle educational group for both men and women; this confirms the results of our previous study . Differences in socioeconomic characteristics between men and women might be explained by several factors. Women usually get operated on at an earlier age  and might have other reasons for accepting/demanding the surgery such as cosmetic and fertility reasons whereas men usually undergo the operation later in life and perhaps mostly due to comorbidities. Both married/cohabiting men and women had a slightly higher HR for surgery. This may be due to the encouraging role of their spouses to get treatment for obesity. Several studies have shown a positive effect of marriage/cohabiting on health and longevity and these benefits of marriage may sometimes be higher for men than for women .
Previous studies have shown significant disparities in socioeconomic characteristics between the severely obese population and the subgroup that actually receive bariatric surgery [9, 15, 29]. In countries with a private healthcare system, some of these variations might be explained by financial inequalities. However, in countries with a publicly funded system, no obvious reason for these disparities are apparent [30, 31]. Few studies have systematically analyzed the factors that cause the variation in receiving bariatric surgery. It is generally assumed that much of the variation is explained by socioeconomic barriers. An American study did not support this assumption; it instead emphasized the patients’ perspective . In that study, men were less likely than women and African Americans were less likely than Caucasians to have seriously considered bariatric surgery after accounting for sociodemographic factors. Having a lower ideal weight was also associated with having considered bariatric surgery, which partly explains the gender differences. Men may be less likely than women to consider bariatric surgery, which may be due to them being less concerned about the negative impact of extreme obesity on health . A Chinese study showed that gluttonous behaviors were positively correlated with the acceptance level of bariatric surgery . Physicians’ recommendations were also a strong independent factor for patients considering bariatric surgery according to an American study . This study also found that men and African Americans were less likely to be recommended bariatric surgery by their doctors. The results of the present study indicate that the Swedish healthcare system has achieved its goal of equal health care for the entire population regarding bariatric surgery, since those with BMI > 40 kg/m2 were not affected by socioeconomic factors in their likelihood to receive surgery, and there was no strong association between socioeconomic characteristics and the rate of bariatric surgery. In addition, the socioeconomic differences favored those with a low and middle socioeconomic status rather than those with a high socioeconomic status.
Limitations and strengths
This study has some limitations. The most important limitation is the time lag between the BMI measurement and the obesity surgery, which means that we had no access to the BMI data at surgery (Additional file 2, Additional file 3). Information about SES was collected after 2005 and close in time to the bariatric surgery. However, SES could change over time and the impact of potential changes in SES on BMI during these years is therefore unclear. However, as mentioned above, previous research has found that BMI increased in all age groups in Sweden during the study period  and BMI early in adulthood is a good predictor of BMI later in life. It is also unclear how many in the BMI group 1–3 that actually became severely obese during the study period and thus eligible for surgery. For women, we only included the population that had a pregnancy, thus not including those who did not become pregnant. An additional limitation is that the women and men were not directly comparable as most men completed their military service between the ages of 18–20 years (96.5%) whereas the women’s childbearing age was mainly between 18 and 39 years. Furthermore, pregnant women will likely have a higher BMI. Finally, socioeconomic variables cannot fully measure socioeconomic status.
However, the limitations of this study are balanced by its strengths. To our knowledge, the current study is the first nationwide study that considers socioeconomic characteristics in relation to rates of obesity surgery, including levels of BMI. An additional strength is that we had access to a large database, which included all publicly funded surgeries, and the main purpose was to examine whether the publicly funded surgery is equally distributed, irrespective of socioeconomic status. Finally, both men and women were included in the study and analyzed separately. According to the Swedish National Board of Health and Welfare, only a small percentage of records (0.5–3.0%) of all infants are missing from the Swedish Medical Birth Register .
The present nationwide study shows differences between socioeconomic groups and rates of bariatric surgery, favoring those with a low socioeconomic status. However, socioeconomic differences disappeared in those individuals with a BMI > 40 kg/m2, which indicates that severe obesity rules out socioeconomic differences in bariatric surgery rates. The Swedish healthcare system seems to have achieved its goal of equal health care for the entire population regarding bariatric surgery.
Body mass index
Age standardized cumulative incidence rate
World Health Organization
Stewart ST, Cutler DM, Rosen AB. Forecasting the effects of obesity and smoking on U.S. life expectancy. N Engl J Med. 2009;361(23):2252–60.
Obesity: preventing and managing the global epidemic. World Health Organization; 2000. Report No.: 92 4 120894 5. http://www.who.int/nutrition/publications/obesity/WHO_TRS_894/en/index.html.
Avenell A, Robertson C, Skea Z, Jacobsen E, Boyers D, Cooper D, et al. Bariatric surgery, lifestyle interventions and orlistat for severe obesity: the REBALANCE mixed-methods systematic review and economic evaluation. Health Technol Assess. 2018;22(68):1–246.
Wing RR, Bolin P, Brancati FL, Bray GA, Clark JM, Coday M, et al. Cardiovascular effects of intensive lifestyle intervention in type 2 diabetes. N Engl J Med. 2013;369(2):145–54.
McTigue KM, Harris R, Hemphill B, Lux L, Sutton S, Bunton AJ, et al. Screening and interventions for obesity in adults: summary of the evidence for the U.S. preventive services task force. Ann Intern Med. 2003;139(11):933–49.
Buchwald H, Avidor Y, Braunwald E, Jensen MD, Pories W, Fahrbach K, et al. Bariatric surgery: a systematic review and meta-analysis. JAMA. 2004;292(14):1724–37.
Sjöström L, Narbro K, Sjöström CD, Karason K, Larsson B, Wedel H, et al. Effects of bariatric surgery on mortality in Swedish obese subjects. N Engl J Med. 2007;357(8):741–52.
Cremieux PY, Buchwald H, Shikora SA, Ghosh A, Yang HE, Buessing M. A study on the economic impact of bariatric surgery. Am J Manag Care. 2008;14(9):589–96.
Santry HP, Gillen DL, Lauderdale DS. Trends in bariatric surgical procedures. JAMA. 2005;294(15):1909–17.
Memarian E, Calling S, Sundquist K, Sundquist J, Li X. Sociodemographic differences and time trends of bariatric surgery in Sweden 1990-2010. Obes Surg. 2014;24(12):2109–16.
Care TSCoTAiH. Obesity-Problem and interventions: The report from the Swedish Council on Technology Assessment in Health Care. "Fetma-problem och åtgärd, SBU (statens beredning för medicinsk och socal utvärdering) rapport". Sweden; 2002.
Sjöström L, Lindroos AK, Peltonen M, Torgerson J, Bouchard C, Carlsson B, et al. Lifestyle, diabetes, and cardiovascular risk factors 10 years after bariatric surgery. N Engl J Med. 2004;351(26):2683–93.
National indications for Obes Surg (Nationella Indikationer För Obesitaskirurgi), Sweden2007. http://www.sfoak.se/wp-content/niok_2009.pdf. Accessed 2009.
Gastrointestinal surgery for severe obesity. NIH consensus development conference, March 25-7,1991. Nutrition. 1996;12(6):397–404.
Martin M, Beekley A, Kjorstad R, Sebesta J. Socioeconomic disparities in eligibility and access to bariatric surgery: a national population-based analysis. Surg Obes Relat Dis. 2010;6(1):8–15.
Swedish Health care Law (1982:763), 2§. "Hälso- och sjukvårdslag (1982:763), 2 §". https://www.riksdagen.se/sv/dokument-lagar/dokument/svensk-forfattningssamling/halso--och-sjukvardslag-1982763_sfs-1982-763.
Ludvigsson JF, Andersson E, Ekbom A, Feychting M, Kim JL, Reuterwall C, et al. External review and validation of the Swedish national inpatient register. BMC Public Health. 2011;11:450.
National Board of Health and Welfare Validity of the diagnoses from the Swedish in-care Register 1987 and 1995. https://www.socialstyrelsen.se/SiteCollectionDocuments/information-in-the-national-patient-register.pdf
Statistics Sweden (SCB) BaLMD, 701 89 ÖREBRO. Background Facts, Labour and Education Statistics 2008:2, Integrated database for labour market research. (Bakgrundsfakta, Arbetsmarknads- och utbildningsstatistik 2008:2, Longitudinell Integrationsdatabas för Sjukförsäkrings- och Arbetsmarknadsstudier, LISA, 1990–2005), In Swedish. Sweden: Statistics Sweden (SCB); 2008.
Calling S, Li X, Sundquist J, Sundquist K. Socioeconomic inequalities and infant mortality of 46,470 preterm infants born in Sweden between 1992 and 2006. Paediatr Perinat Epidemiol. 2011;25(4):357–65.
Organisation WH. The International Classification of adult underweight, overweight and obesity according to BMI. 2016.
Krajewski SA, Hameed SM, Smink DS, Rogers SO. Access to emergency operative care: a comparative study between the Canadian and American health care systems. Surgery. 2009;146(2):300–7.
National indication for Bariatric surgery in Sweden. 2007.http://www.sfoak.se/wp-content/fetmakirurgi-nationella-medicinska-indikationer.pdf.
Molarius A, Lindén-Boström M, Granström F, Karlsson J. Obesity continues to increase in the majority of the population in mid-Sweden-a 12-year follow-up. Eur J Pub Health. 2016;26(4):622–7.
Korda RJ, Joshy G, Jorm LR, Butler JR, Banks E. Inequalities in bariatric surgery in Australia: findings from 49,364 obese participants in a prospective cohort study. Med J Aust. 2012;197(11):631–6.
Katikireddi SV, Skivington K, Leyland AH, Hunt K, Mercer SW. The contribution of risk factors to socioeconomic inequalities in multimorbidity across the lifecourse: a longitudinal analysis of the Twenty-07 cohort. BMC Med. 2017;15(1):152.
Caman OK, Calling S, Midlöv P, Sundquist J, Sundquist K, Johansson SE. Longitudinal age-and cohort trends in body mass index in Sweden - a 24-year follow-up study. BMC Public Health. 2013;13:893.
Lillard LA, Brien MJ, Waite LJ. Premarital cohabitation and subsequent marital dissolution: a matter of self-selection? Demography. 1995;32(3):437–57.
Wallace AE, Young-Xu Y, Hartley D, Weeks WB. Racial, socioeconomic, and rural-urban disparities in obesity-related bariatric surgery. Obes Surg. 2010;20(10):1354–60.
Padwal RS, Chang HJ, Klarenbach S, Sharma AM, Majumdar SR. Characteristics of the population eligible for and receiving publicly funded bariatric surgery in Canada. Int J Equity Health. 2012;11:54.
Fysekidis M, Catheline JM, Kouacou N, Bihan H, Cohen R. Socioeconomic deprivation remains a significant barrier in the choice of bariatric surgery even when full medical expense coverage is present. Surg Obes Relat Dis. 2016;12(7):1403–9.
Wee CC, Huskey KW, Bolcic-Jankovic D, Colten ME, Davis RB, Hamel M. Sex, race, and consideration of bariatric surgery among primary care patients with moderate to severe obesity. J Gen Intern Med. 2013;29(1):68–75.
Liang H, Liu Y, Miao Y, Wu H, Yang S, Guan W. The effect of socioeconomic and individual factors on acceptance levels of bariatric surgery among Chinese patients. Surg Obes Relat Dis. 2014;10(2):361–5.
EpC: Centre for epidemiology TNBoHaW. The Swedish Medical Birth Register: A summery of content and quality. Research Report from EpC. Sweden; 2003. Report No.: http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/10655/2003-112-3_20031123.pdf. Accessed 2003.
The authors wish to thank the Science Editor at Center for Primary Health Care Research, Patrick Reilly, for his useful comments on the text.
This work was supported by Crafoord funding (20171054) (awarded to Xinjun Li) and by ALF funding awarded to Jan Sundquist and Kristina Sundquist and by grants from the Swedish Research Council (awarded to Kristina Sundquist). Research reported in this publication was also supported by the National Heart, Lung, And Blood Institute of the National Institutes of Health under Award Number R01HL116381. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The funding bodies had no role in the design of the study, the collection, analysis, and interpretation of data, or the writing of the manuscript.
Availability of data and materials
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Ethics approval and consent to participate
This study was approved by the Ethics Committee at Lund University.
Consent for publication
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Table S1. a. Rate of bariatric surgery (per 1000 individuals) for different BMI group, by individual characteristics, closed cohort, women. (DOC 35 kb)
Table S1. b. Rate of bariatric surgery (per 1000 individuals) for different BMI group, by individual characteristics, closed cohort, men. (DOC 36 kb)
Figure S1. Interaction between BMI and other variables, women. (JPG 60 kb)
Figure S2. Interaction between BMI and other variables, men. (JPG 76 kb)
About this article
Cite this article
Memarian, E., Sundquist, K., Calling, S. et al. Socioeconomic factors, body mass index and bariatric surgery: a Swedish nationwide cohort study. BMC Public Health 19, 258 (2019). https://doi.org/10.1186/s12889-019-6585-8
- Bariatric surgery
- Socioeconomic status