- Open Access
Sexual-orientation differences in risk of health-related impaired ability to work and to remain in the paid workforce: a prospective population-based twin study
BMC Public Health volume 23, Article number: 454 (2023)
Studies consistently show an increased risk of poor health among sexual minorities (i.e., those identifying as lesbian, gay, bisexual [LGB] or other non-heterosexuals individuals), as compared to those identifying as heterosexual. It is largely unknown whether the increased risk of mental and physical health problems among sexual minorities is also reflected in an increased risk of health-related impaired ability to work, in terms of sickness absence (SA) and disability pension (DP), or successfully remain in the paid workforce. This study made use of a large sample of Swedish twins with self-reported information about sexual behavior in young adulthood to examine sexual orientation difference in SA and DP during a 12-year follow-up period.
Data from the Swedish Twin project of Disability pension and Sickness absence (STODS), including Swedish twins born 1959–1985 was used (N = 17,539; n = 1,238 sexual minority). Self-report survey data on sexual behavior was linked to information about SA and DP benefits from the MicroData for Analysis of the Social Insurance database (MiDAS), the National Social Insurance Agency. Sexual orientation differences in SA and DP between 2006 and 2018 was analyzed, as well as, the influence of sociodemographic, social stress exposure (i.e., victimization, discrimination), mental health treatment, and family confounding on these differences.
Compared to heterosexuals, sexual minorities were more likely to having experienced SA and having been granted DP. The odds were highest for DP, where sexual minorities were 58% more likely to having been granted DP compared to heterosexuals. The higher odds for SA due to any diagnosis could largely be explained by sociodemographic factors. The higher odds of SA due to mental diagnosis could partially be explained by increased risk of being exposed to discrimination and victimization, and partially by having received treatment with antidepressant medication. The higher odds of being granted DP could also partially be explain by increased risk of being exposed to social stress and treatment with antidepressant medication.
To our knowledge, this is the first study to report on sexual orientation differences in risk of SA and DP in a population-based sample. We found higher period prevalence of both SA and DP among sexual minorities as compared to heterosexuals. The higher odds of SA and DP could partially or fully be explained by sexual orientation differences in sociodemographic factors, exposure to social stress, and antidepressant treatment for depression. Future studies can extend these findings by continuing to investigate risk factors for SA and DP among sexual minorities and how such factors can be reduced.
An increasing number of studies provide evidence for substantial disparities in prevalence of mental health problems based on sexual orientation [1,2,3,4,5,6,7]. These studies consistently show an increased risk of mental health problems among sexual minorities (i.e., those identifying as lesbian, gay, bisexual [LGB] or other non-heterosexuals individuals), as compared to those identifying as heterosexual, with the most common mental health outcomes being: depression, anxiety, and substance use disorders [4, 8,9,10,11]. In addition to differences in mental health, several recent studies have demonstrated an increased prevalence of certain physical health outcomes among sexual minority individuals relative to heterosexuals, e.g., cardiovascular disease, asthma, diabetes, and other chronic conditions [12,13,14]. However, it is largely unknown whether the increased risk of mental and physical health problems among sexual minorities is also reflected in an increased risk of health-related impaired ability to work, in terms of sickness absence (SA) and disability pension (DP), or successfully remain in the paid workforce.
The increased risk of poor health among sexual minority individuals have largely been explained by exposure to sexual-orientation specific stress, also called minority stress, related to membership in a socially disadvantaged and stigmatized group . According to minority stress theory, sexual minority people are more likely to experience stigma-based psychosocial stressors (e.g., discrimination, violence, threats, and hate crimes) that are unique and linked to their sexual identity. Exposure to these stressors across the life course is believed to compound the burden of general life stress and generate higher rates of stress-related health concerns . Although these stigma-based psychosocial stressors are the most frequently explored determinants of sexual minority health, some studies have tried to assess the impact of genetic and shared environmental factors using data on siblings and twins, in predicting the increased risk of poor health among sexual minorities [17,18,19]. These studies give some support for a genetic covariation between mental health and sexual behavior , but also give support for the minority stress hypothesis and the importance of sexual minorities’ exposure to environmental stressors as contributors to risk of mental health problems .
Although the increased risk of poor health among sexual minorities as compared to heterosexuals is well established, whether this risk also entail a higher risk of impaired ability to work or successfully remain in the paid workforce is yet largely unknown . It is also unknown if the previously identified psychosocial determinants of health disparities based on sexual orientation described above, can help explain potential differences in SA and DP based on sexual orientation. Since previous studies have demonstrated an increased risks of common mental disorders among sexual minority individuals [1, 2, 22] and mental disorders are the most common reason for work disability , there are reasons to assume that SA and DP are more prevalent among sexual minority people compared to heterosexuals. However, there is currently insufficient knowledge describing the prevalence and determinants of sexual orientation disparities in work disability.
This study made use of a large sample of Swedish twins with self-reported information about sexual behavior in young adulthood and links to follow-up information about reduced work ability, in terms of SA and DP, from comprehensive national registries between 2006 and 2018. The large sample size and unique data structure permitted us to pursue the following research questions: (a) Are sexual minority individuals at a higher risk of reduced work ability in terms of SA or DP due to mental and somatic disorders as compared to heterosexual individuals? (b) Can socioeconomic status (i.e., level of education) or greater exposure to commonly proposed predictors of sexual orientation disparities in health, such as, psychosocial stressors (i.e., discrimination and hate crime), explain or partially explain any potential elevated risk of reduced work ability in terms of SA and DP among sexual minorities as compared to heterosexuals? (c) Can an elevated risk of SA or DP among sexual minorities be explained by a higher prevalence of common mental health problems, such as depression, among sexual minorities as compared to heterosexuals? And (d) Can any potential sexual orientation differences in SA or DP be partially or fully explained by familial (i.e., genetic, and shared environmental) factors?
Data from the study called: Swedish Twin project of Disability pension and Sickness absence (STODS) were used. STODS include survey data from the Swedish Twin Adults: Genes and Environment (STAGE). In STAGE, all twins in the Swedish Twin Registry (STR) [17, 24, 25] born 1959–1985, where both twins in a pair were alive and living in the country, were invited to participate in a large web-based survey in 2005–2006 including items on sexual behavior. A total of 25,381 (60%) of those invited participated . In STODS, self-report survey data was linked to information about SA and DP benefits from the MicroData for Analysis of the Social Insurance database (MiDAS), the National Social Insurance Agency. Information on sex (women/men), age (continuous variable), and zygosity (monozygotic, dizygotic) were obtained from the STR. To successfully categorize participants into groups by sexual orientation, responses to the questions on sexual behaviour was a requirement for inclusion. On the questions about sexual behaviour, there were over 7,000 individuals for whom the data were missing or who did not want to respond, or who did not report any same-sex or opposite-sex experiences. In the current study, the final sample included 17,539 individuals with 6,540 monozygotic (MZ) twins, 5,180 dizygotic (DZ) same-sexed twins, and 5,367 opposite-sexed twins. Information about zygosity was missing for 452 participants.
Sexual orientation was assessed using survey responses concerning same-sex sexual behavior and was defined using responses to the questions: “How many people with opposite sex have you been sexually together with?” and “How many people with same sex have you been sexually together with?” Respondents were categorized into a dichotomous variable as either a sexual minority individual (i.e., with values 1 = At least one same-sex sexual partner) or as a heterosexual individual (i.e., 0 = No same-sex sexual partner). Individuals with no response to the questions or with response “0” to both questions were excluded from further analysis.
Our main outcome variables were: (a) reimbursement due to at least one SA spell (> 14 days) during the follow-up period; or (b) reimbursement due to DP during the follow-up period. We also used the following outcome variables: (c) reimbursement due to at least one SA spell related to any mental diagnoses; or (d) reimbursement due to DP during the follow-up period related to any mental diagnoses. All individuals in Sweden with an income from work or social benefits, older than 15 years, who have a reduced ability to work due to disease or injury, can be granted SA benefits from the Social Insurance Agency while all individuals in Sweden aged 19–64 years can be granted DP if they permanently lose their ability to work due to disease or injury . The follow-up period was from the date of responding to the STAGE survey (2005–2006) until the 31st of December 2018.
Covariates including: age, sex, educational level (assessed based on total number of years of education categorized into three groups: 0 = 1–9 years, 1 = 10–12 years, 2 = > 12 years), relationship status (0 = single/widow, 1 = married/cohabiting), and perceived discrimination (assessed with the survey item: “Have you ever been discriminated against in a way that was highly distressing or disturbing because of your race, ethnic group, gender, sexual orientation, or religion?”: 0 = No, 1 = Yes) and/or hate crime (assessed with the survey item: “Have you ever been the victim of a hate crime?”: 0 = No, 1 = Yes) were measured at the baseline, that is, at the time of STAGE interview. Information on annual disposable income in 2016 were retrieved from the longitudinal integrated database for health insurance and labor market studies (LISA), Statistics Sweden . Information on previous prescription of antidepressants (ATC: N06A) during the follow-up period 2006–2018 was retrieved from the Swedish Prescribed Drug Registry held at the National Board of Health and Welfare. Use of antidepressant was added as a covariate in the analyses as an indicator of common mental health disorders since the risk of depression has consistently been found elevated in sexual minority populations .
First, descriptive statistics of all variables were calculated in the whole study population. In the analyses of sexual orientation differences in SA, all individuals with an ongoing SA spell at the time of the survey assessment were excluded (n = 199). Second, logistic regression was applied to the whole sample to calculate odds ratios (OR) with 95% Confidence Intervals (CI) for the associations between the exposure and the outcome variables. Twin dependency within pairs was considered by using Generalized Estimation Equations (GEE). The analyses were also adjusted for the covariates that were entered in separate steps. Third, potential familial confounding was tested in a subsample of same-sex MZ and DZ twin pairs discordant for the exposure (i.e., so called cotwin control analysis), that is, twin pairs where one twin in a pair reported on same-sex sexual behavior and the other not. ORs were calculated using conditional logistic regression and compared to the estimates of the whole sample. Attenuated estimates in a subsample of exposure discordant twin pairs would suggest that familial factors (genetics and shared environment) are of importance for the association studied.
Sociodemographic characteristics of the total sample and distributions on the covariates by sexual orientation are presented in Table 1. Sexual minority individuals were younger, had lower income, were more likely to be women, and less likely to be married or cohabitant (all p < .001). There was no significant difference in level of education between the sexual orientation groups. Sexual minority individuals were more likely to receive treatment with antidepressant medications. The proportion of individuals exposure to discrimination and victimization were significantly larger among sexual minority individuals compared to heterosexuals.
Sexual orientation differences in reduced work ability
The prevalence of SA and DP by sexual orientation group is presented in Table 2. Sexual minority individuals were significantly more likely to have experienced both SA and to be granted DP during the follow-up period, between 2006 and 2018.
Results from logistic regression models showing sexual orientation differences in reduced work ability is reported in Table 3. In the unadjusted models (model 1), sexual minorities were 15% more likely to have experienced a period of sickness absence from work due to any medical diagnosis compared to heterosexuals (odds ratio [OR]: 1.15; 95% confidence interval [95% CI]: 1.05, 1.27). Analyses specifically for mental health SA diagnoses showed that sexual minority individuals were 42% more likely to have experienced a period of SA due to mental health, as compared to heterosexuals (OR: 1.42; 95% 95% CI: 1.17, 1.73). The likelihood for sexual minorities for having been granted DP during the follow-up period was also 58% larger that for heterosexual (OR: 1.58; 95% 95% CI: 1.14, 2.18).
Socioeconomic status and exposure to psychosocial stressors (i.e., discrimination and victimization) as predictors of sexual orientation difference in reduced work ability
The regression models examining the sexual orientation difference in SA from work due to any diagnosis (Table 3), attenuated to non-significant when adjusted for age and sex (model 2; OR: 1.09; 95% 95% CI: 0.99, 1.20). This indicates that the small difference in SA due to any diagnosis between sexual minority individuals and heterosexuals that were observed in unadjusted analyses, was a result of age and sex difference between the two groups. The estimates remained small and non-significant when subsequently adjusted for exposure to psychosocial stressors (model 3).
In the regression models examining the sexual orientation difference in SA due to mental diagnoses (Table 3), the OR was reduced with 17% when the model was adjusted for age and sex but remained significant (model 2; OR: 1.35; 95% 95% CI: 1.10, 1.64). The OR was further slightly reduced in models adjusted for exposure to psychosocial stressors but remained significant (model 3; OR: 1.33; 95% 95% CI: 1.08, 1.64). The reduction in ORs at each of these steps, suggests that both sociodemographic variables and psychosocial stress exposure partially explains the sexual orientation difference in risk of SA due to mental diagnosis.
In the regression models examining the sexual orientation difference in DP due to any diagnosis, the OR remained significant and largely the same when the model was adjusted for age and sex (Table 3, model 2). The OR was reduced slightly in the model adjusted for exposure to psychosocial stressors but remained significant (model 3; OR: 1.43; 95% 95% CI: 1.02, 2.02). This reduction in OR when the model was adjusted for psychosocial stressors, suggests that sexual minorities increased odds of having experienced discrimination and/or victimization partially explained the sexual orientation differences in risk of being granted DP.
Treatment with antidepressant medication as predictor of sexual orientation difference in reduced work ability
In the next step, regression models were adjusted for treatment with antidepressant medication to estimate how much of the sexual orientation difference in SA and DP that could be explained by increased risk of depression (model 4, Table 3). The results did not change in the model estimating risk of SA for any diagnosis when including treatment with antidepressants, estimates were still non-significant, as was the model adjusted for all covariates (model 5).
The regression model examining the sexual orientation difference in SA due to mental diagnosis showed reduced odds (Table 3, model 4) and in the model adjusted for all covariates including psychosocial stressors (model 5; OR: 1.18; 95% 95% CI: 0.96, 1.45), estimates were non-significant.
In the model examining the sexual orientation difference in DP OR was reduced and non-significant (model 4; OR: 1.25; 95% 95% CI: 0.92, 1.71). The model adjusted for all covariates (model 5) did not converge. The reduction of the ORs in models adjusting for treatment with antidepressant medication indicated that sexual minorities higher likelihood of depression treatment could largely explain the sexual orientation difference in DP.
Adjustment for familial confounding
The ORs were reduced, and the associations attenuated towards null when the models were adjusted for familial factors, as compared to unadjusted models. The reduction towards null suggest that familial factors had a certain influence on all associations.
Sexual minorities are at greater risk of several health concerns, in particular mental health problems, compared to heterosexuals [28, 29], highlighting the need to understand how this increased risk of poor health is influencing SA and DP. To our knowledge, this is the first study to report on sexual orientation differences in risk of SA and being granted DP in a population-based sample with a co-twin control design. Compared to heterosexuals, sexual minorities were more likely to having experienced SA and having been granted DP during a 12-year follow-up period (2006 to 2018). The odds were highest for DP, where sexual minorities were 58% more likely to having been granted DP compared to heterosexuals. The higher odds for SA due to any diagnosis could largely be explained by age and sex differences. The higher odds of SA due to mental diagnosis could partially be explained by increased risk of being exposed to discrimination and victimization, and partially by having received treatment with antidepressant medication. The higher odds of being granted DP could also partially be explained by increased risk of being exposed to social stress and treatment with antidepressant medication.
In line with research showing that the increased risk of poor health among sexual minorities individuals largely can be explained by exposure to minority stress [1, 16, 30], we found support that exposure to psychosocial stress in the form of discrimination and victimization partially could explain the increased risk of SA and DP. However, further research is needed to increase our knowledge about in what situations psychosocial stress is most detrimental to work ability and what protective and supportive intervention that could buffer against the exposure to such stressors. Research with larger datasets would also enable analyses of potential effect modifiers of the associations identified in the current study and identify specific subgroups, for example based on gender, age, diagnosis, and occupation, that are at particularity high risk of SA or DP. In the current study, we found a reduction of sexual orientation difference in SA in models adjusting for age and sex, indicating that the distribution of these variables by sexual minority status to some degree influenced the increased risk of SA among sexual minorities. This further motivates continued research into the specific sex and age patterns of sexual orientation differences in impaired work ability and its causes.
The reduction of the ORs in models adjusting for treatment with antidepressant medication indicated that sexual minorities higher likelihood of receiving depression treatment at least partially could explain the sexual orientation difference in SA due to mental diagnosis. The increased risk of common mental health problems among sexual minorities has been well documented , and it is not surprising that this increased prevalence also increase reduced work ability in terms of SA and DP.
The association between sexual behavior and SA/DP attenuated after familial factors were considered. This could suggest that the associations may also be explained by a common genetic and environmental etiology, but the fact that the estimates for the disparities were non-significant in models adjusted for psychosocial and treatment variables, indicates that genetics and shared - primarily family - environment may have limited influence on sexual minority individuals increased risk of SA and DP. Support for an influence of familial factors of sexual orientation differences has been found in several previous genetically informative studies, where familial confounding was shown in the associations between sexual behavior and psychiatric morbidity [18, 19]. Also, a genetic overlap has been found between sexual orientation and depression, psychoticism, and neuroticism [31, 32]. Although familial confounding regarding SA and DP may seem to be hardly interpretable, the influence of genetic and environmental factors may reflect genetic and/or environmental susceptibility to a disease behind SA and DP. In fact, previous studies have shown genetics to play a role in both SA and DP [33, 34]. Also, SA and DP are complex phenomena, and several non-diseases related, yet heritable, factors have been found to be related to SA and DP, including functional ability , birth weight , and neuroticism .
While this study possesses several notable strengths in sampling (i.e., population-based), assessment of SA and DP (i.e., derived from national registries with no loss to follow-up), and comparison groups (i.e., twins), results must be interpreted in light of several limitations. First, the specific health insurance situation in Sweden likely limits the generalizability of our results, and thus our results are likely unique to this context apart from other countries with similar social security, as for example Finland and Norway. Second, some of the outcomes analyzed in the current study were relatively rare in this sample. The relatively small sample size for having received DP, increases the risk of type 2 error. It is possible that some of the non-significant estimates of sexual orientation differences in treatment for these diagnoses would have been significant with a larger sample, and the results should be interpreted considering this limitation. Third, this study relied on sexual identity as a measure of sexual behavior, precluding examination of whether these findings extend across other dimensions of sexual orientation (e.g., sexual identity, patterns of attraction). Lastly, even with the strong methodology provided by a twin study design, it is not possible to completely account for the complexity of familial influence, given that all family members have a unique experience of that family .
In conclusion, this study takes advantage of the high-quality health registry data available in Sweden to conduct the first examination of sexual orientation differences in SA and DP. We found higher period prevalence of both SA and DP among sexual minorities as compared to heterosexuals. The higher odds of SA and DP could partially or fully be explained by sexual orientation differences in sociodemographic factors, exposure to social stress, and treatment for depression. Future studies can extend these findings by continuing to investigate risk factors for SA and DP among sexual minorities and how such factors can be reduced.
The data that support the findings of this study are available from the original sources: the Swedish Twin Registry, Statistics Sweden, Swedish Social Insurance Agency and the Swedish National Board of Health and Welfare. Restrictions apply to the availability of the data used in this study based on the Swedish Twin project Of Disability pension and Sickness absence (STODS), which were used with ethical permission for the current study and therefore are not publicly available. Data collection and all analyses were performed in accordance with relevant guidelines and regulations. The study was approved after ethical witting by the Regional Ethics Committee in Stockholm (No. 2013/2200-31/2; 2019–06335) and all participants provided their informed consent.
Code can be made available through contact with corresponding author.
Bränström R. Minority stress factors as mediators of sexual orientation disparities in mental health treatment: a longitudinal population-based study. J Epidemiol Commun Health. 2017;71(5):446–52.
Bränström R, Hatzenbuehler ML, Tinghög P, Pachankis JE. Sexual orientation differences in outpatient psychiatric treatment and antidepressant usage: evidence from a population-based study of siblings.European Journal of Epidemiology 2018, Jun;33(6):591–599.
Bränström R, Pachankis JE. Reduction in mental health treatment utilization among transgender individuals after gender-affirming surgeries: a total population study. Am J Psychiatry. Oct 2019;4:appi–jp. [Epub ahead of print].
Semlyen J, King M, Varney J, Hagger-Johnson G. Sexual orientation and symptoms of common mental disorder or low wellbeing: combined meta-analysis of 12 UK population health surveys. BMC Psychiatry. 2016;16:67.
Spittlehouse J, Boden J, Horwood L. Sexual orientation and mental health over the life course in a birth cohort.Psychological medicine2019:1–8.
Sandfort T, de Graaf R, ten Have M, Ransome Y, Schnabel P. Same-Sex Sexuality and Psychiatric Disorders in the Second Netherlands Mental Health Survey and Incidence Study (NEMESIS-2).LGBT Health2014, 1(4).
Cochran SD, Mays VM, Sullivan JG. Prevalence of mental disorders, psychological distress, and mental health services use among lesbian, gay, and bisexual adults in the United States. J Consult Clin Psychol. 2003;71(1):53–61.
Bostwick WB, Boyd CJ, Hughes TL, McCabe SE. Dimensions of sexual orientation and the prevalence of mood and anxiety disorders in the United States. Am J Public Health. 2010;100(3):468–75.
Caceres BA, Jackman K, Ferrer L, Cato K, Hughes TL. A scoping review of sexual minority women’s health in Latin America and the Caribbean.International Journal of Nursing Studies2019.
Hughes T, Szalacha LA, McNair R. Substance abuse and mental health disparities: comparisons across sexual identity groups in a national sample of young australian women. Soc Sci Med. 2010;71(4):824–31.
Plöderl M, Tremblay P. Mental health of sexual minorities. A systematic review. Int Rev Psychiatry (Abingdon). 2015;27(5):367–85.
Lick DJ, Durso LE, Johnson KL. Minority stress and physical health among sexual minorities. Perspect Psychol Sci. 2013;8:521–48.
Bränström R, Hatzenbuehler ML, Pachankis JE, Link BG. Sexual orientation disparities in preventable disease: a fundamental cause perspective. Am J Public Health. 2016;06(6):1109–15.
Bränström R, Hatzenbuehler ML, Pachankis JE. Sexual orientation disparities in physical health: Age effects in a population-based study. Soc Psychiatry Psychiatr Epidemiol. 2016;51(2):289–301.
Meyer IH. Prejudice, social stress, and mental health in lesbian, gay, and bisexual populations: conceptual issues and research evidence. Psychol Bull. 2003;129(5):674–97.
Meyer I. Prejudice, social stress, and mental health in lesbian, gay, and bisexual populations: conceptual issues and research evidence. Psychol Bull. 2003;129(5):674–97.
O’Reilly LM, Pettersson E, Donahue K, Quinn PD, Klonsky ED, Lundström S, Larsson H, Lichtenstein P, D’Onofrio BM. Sexual orientation and adolescent suicide attempt and self-harm: a co‐twin control study.Journal of child psychology and psychiatry2020.
Frisell T, Lichtenstein P, Rahman Q, Långström N. Psychiatric morbidity associated with same-sex sexual behaviour: influence of minority stress and familial factors. Psychol Med. 2010;40(2):315–24.
Donahue K, Långström N, Lundström S, Lichtenstein P, Forsman M. Familial factors, victimization, and Psychological Health among sexual minority adolescents in Sweden. Am J Public Health. 2017;107(2):322–8.
Ganna A, Verweij KJ, Nivard MG, Maier R, Wedow R, Busch AS, Abdellaoui A, Guo S, Sathirapongsasuti JF, Lichtenstein P. Large-scale GWAS reveals insights into the genetic architecture of same-sex sexual behavior. Science. 2019;365(6456):eaat7693.
Forte. In: Stockholm, editor. Health and well-being among young LGBT-individuals in Sweden. Sweden: The Swedish Reserch Council for Health, Working Life, and Welfare; 2018.
Bränström R, Pachankis JE. Sexual orientation disparities in the co-occurrence of substance use and psychological distress: a national population-based study (2008–2015). Soc Psychiatry Psychiatr Epidemiol. 2018;53(4):403–12.
Knudsen AK, Harvey SB, Mykletun A, Øverland S. Common mental disorders and long-term sickness absence in a general working population. The Hordaland Health Study. Acta psychiatrica Scandinavica. 2013;127(4):287–97.
Lichtenstein P, Sullivan PF, Cnattingius S, Gatz M, Johansson S, Carlstrom E, Bjork C, Svartengren M, Wolk A, Klareskog L, et al. The Swedish Twin Registry in the third millennium: an update. Twin Res Hum genetics: official J Int Soc Twin Stud. 2006;9(6):875–82.
Zagai U, Lichtenstein P, Pedersen NL, Magnusson PK. The Swedish Twin Registry: content and management as a research infrastructure. Twin Res Hum Genet. 2019;22(6):672–80.
The Social Insurance Agency: Social Insurance in Fig. 2018. In. Sockholm, Sweden; 2018.
Ludvigsson JF, Svedberg P, Olén O, Bruze G, Neovius M. The longitudinal integrated database for health insurance and labour market studies (LISA) and its use in medical research. Eur J Epidemiol. 2019;34(4):423–37.
Cochran SD, Björkenstam C, Mays VM. Sexual orientation differences in functional limitations, disability, and mental health services use: results from the 2013–2014 National Health interview survey. J Consult Clin Psychol. 2017;85(12):1111.
King M, Semlyen J, Tai SS, Killaspy H, Osborn D, Popelyuk D, Nazareth I. A systematic review of mental disorder, suicide, and deliberate self harm in lesbian, gay and bisexual people. BMC Psychiatry. 2008;8:70.
Bränström R, van der Star A, Pachankis JE. Untethered lives: barriers to societal integration as predictors of the sexual orientation disparity in suicidality. Soc Psychiatry Psychiatr Epidemiol. 2020;55(1):89–99.
Zietsch BP, Verweij KJ, Bailey JM, Wright MJ, Martin NG. Sexual orientation and psychiatric vulnerability: a twin study of neuroticism and psychoticism. Arch Sex Behav. 2011;40(1):133–42.
Zietsch BP, Verweij KJ, Heath AC, Madden PA, Martin NG, Nelson EC, Lynskey MT. Do shared etiological factors contribute to the relationship between sexual orientation and depression? Psychol Med. 2012;42(3):521.
Narusyte J, Ropponen A, Silventoinen K, Alexanderson K, Kaprio J, Samuelsson Ã, Svedberg P. Genetic liability to disability pension in women and men: a prospective population-based twin study. PLoS ONE. 2011;6(8):e23143.
Seglem KB, Torvik FA, Røysamb E, Gjerde LC, Magnus P, Reichborn-Kjennerud T, Svedberg P, Ørstavik R. A life course study of genetic and environmental influences on work incapacity. Twin Res Hum Genet. 2020;23(1):16–22.
Christensen K, McGue M, Yashin A, Iachine I, Holm NV, Vaupel JW. Genetic and environmental influences on functional abilities in danish twins aged 75 years and older. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences. 2000;55(8):M446–52.
Gravseth HM, Bjerkedal T, Irgens LM, Aalen OO, Selmer R, Kristensen P. Life course determinants for early disability pension: a follow-up of norwegian men and women born 1967–1976. Eur J Epidemiol. 2007;22(8):533–43.
Raynik YI, König H-H, Hajek A. Personality factors and sick leave days. Evidence from a nationally Representative Longitudinal Study in Germany. Int J Environ Res Public Health. 2020;17(3):1089.
Plomin R. Commentary: why are children in the same family so different? Non-shared environment three decades later. Int J Epidemiol. 2011;40(3):582–92.
We acknowledge the Swedish Twin Registry (STR) for access to data.
This work was supported by the Swedish Research Council [2016 − 01707]. The study utilised data from the Swedish Twin project Of Disability pension and Sickness absence (STODS) from the REWHARD consortium supported by the Swedish Research Council (grant no 2017 − 00624). The Swedish Twin Registry is managed by Karolinska Institutet and receives funding through the Swedish Research Council under the grant no 2017 − 00641. The Study of Twin Adults: Genes and Environment (STAGE) was supported by the National Institute of Health, USA (Grants DK 066134 and CA 085739).
The funding sources were not involved in the study design, data collection, analyses, interpretation of data, or the reporting of findings.
Open access funding provided by Karolinska Institute.
Open access funding provided by Karolinska Institute.
Consent for publication
Conflict of Interest
The authors have no conflict of interest to disclose.
The study has been approved by the Regional Ethics Committee in Stockholm (No. 2013/2200-31/2; 2019–06335). Studies regarding sickness absence and disability pension based on STODS was approved by the Regional Ethical Review Board in Stockholm (2007/524 − 31; 2010/1346-32-5; 2014/311 − 32; 2017/128 − 32).
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
About this article
Cite this article
Bränström, R., Narusyte, J. & Svedberg, P. Sexual-orientation differences in risk of health-related impaired ability to work and to remain in the paid workforce: a prospective population-based twin study. BMC Public Health 23, 454 (2023). https://doi.org/10.1186/s12889-023-15384-6
- Sick leave
- Disability pension
- Sexual minorities
- Work ability