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Callen EF, Clay T, Alai J, Goodman DW, Adler LA, Faraone SV. The Role of Age in Adult ADHD Quality Care: A Longitudinal Analysis of Electronic Health Record Data. J Atten Disord 2024; 28:913-922. [PMID: 38156704 DOI: 10.1177/10870547231218042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/03/2024]
Abstract
OBJECTIVE Several studies have shown that Adult ADHD presents differently in younger and older adults. We sought to assess the difference in care between these two groups using previously identified quality measures (QMs). METHODS Using electronic health record data, we matched a younger group of ADHD patients to an older group. We then assessed the achievement of the QMs using probit models with and without interaction terms. RESULTS The majority of QMs shown an increase in achievement for both groups over time. However, significant differences in quality of care between younger and older adult ADHD patients persisted. By the end of the study period, with the exception of three QMs, younger patients achieved the QMs more. CONCLUSION While, in general, the quality of care for adult ADHD increased from 2010 to 2020, there were still differences in care between younger and older adult ADHD patients.
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Affiliation(s)
- Elisabeth F Callen
- American Academy of Family Physicians, Leawood, KS, USA
- DARTNet Institute, Aurora, CO, USA
| | - Tarin Clay
- American Academy of Family Physicians, Leawood, KS, USA
- DARTNet Institute, Aurora, CO, USA
| | - Jillian Alai
- American Academy of Family Physicians, Leawood, KS, USA
- DARTNet Institute, Aurora, CO, USA
| | - David W Goodman
- Johns Hopkins School of Medicine, Baltimore, MD, USA
- SUNY Upstate Medical University, Syracuse, USA
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Chen L, Mittendorfer-Rutz E, Björkenstam E, Rahman S, Gustafsson K, Kjeldgård L, Ekselius L, Taipale H, Tanskanen A, Helgesson M. Labour market integration among young adults diagnosed with attention-deficit/hyperactivity disorder (ADHD) at working age. Psychol Med 2024; 54:148-158. [PMID: 37185065 DOI: 10.1017/s003329172300096x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Abstract
METHODS Multiple Swedish nationwide registers were used to identify 8045 individuals, aged 20-29, with an incident diagnosis of ADHD 2006-2011. Labour market integration was conceptualized according to the core-peripheral model as a continuum from a strong (core) to a weak (peripheral) connection to the labour market. Sequence analyses categorized clusters of labour market integration, from 1 year before to 5 years after their ADHD diagnosis for individuals diagnosed with ADHD and a matched control group without ADHD. Multinomial logistic regression computed odds ratios (ORs) with 95% confidence intervals (CIs) between sociodemographic factors and comorbid disorders and the identified clusters. RESULTS About one-fourth of the young adults diagnosed with ADHD belonged to clusters characterized by a transition to a mainly peripheral labour market position, which was approximately four-times higher compared to controls without ADHD. Foremost, those living in small cities/villages (OR 1.9; CI 1.5-2.2), those having comorbid autism-spectrum disorder (OR 13.7; CI 6.8-27.5) or schizophrenia/psychoses (OR 7.8; CI 3.8-15.9) were associated with a transition towards a peripheral labour market position throughout the study period. Those with a high educational level (OR 0.1; CI 0.1-0.1), and men (OR 0.7; CI 0.6-0.8) were less likely to have a peripheral labour market position. CONCLUSIONS Young adults diagnosed with ADHD are four-times more likely to be in the peripheral labour market position compared to those without ADHD. To increase labour market participation, special attention is warranted to those with low educational level, those living outside big cities and those with comorbid mental disorders.
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Affiliation(s)
- Lingjing Chen
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, SE-17177 Stockholm, Sweden
| | - Ellenor Mittendorfer-Rutz
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, SE-17177 Stockholm, Sweden
| | - Emma Björkenstam
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, SE-17177 Stockholm, Sweden
| | - Syed Rahman
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, SE-17177 Stockholm, Sweden
| | - Klas Gustafsson
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, SE-17177 Stockholm, Sweden
| | - Linnea Kjeldgård
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, SE-17177 Stockholm, Sweden
| | - Lisa Ekselius
- Department of Neuroscience, Psychiatry, Uppsala University, Uppsala, Sweden
| | - Heidi Taipale
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, SE-17177 Stockholm, Sweden
- Niuvanniemi Hospital, Kuopio, Finland
- School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - Antti Tanskanen
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, SE-17177 Stockholm, Sweden
- Niuvanniemi Hospital, Kuopio, Finland
| | - Magnus Helgesson
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, SE-17177 Stockholm, Sweden
- Department of Public Health and Caring Sciences, Health Equity and Working Life, Uppsala University, SE-75237 Uppsala, Sweden
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Helgesson M, Kjeldgård L, Björkenstam E, Rahman S, Gustafsson K, Taipale H, Tanskanen A, Ekselius L, Mittendorfer-Rutz E. Sustainable labour market participation among working young adults with diagnosed attention deficit/hyperactivity disorder (ADHD). SSM Popul Health 2023; 23:101444. [PMID: 37691973 PMCID: PMC10492158 DOI: 10.1016/j.ssmph.2023.101444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 05/03/2023] [Accepted: 06/05/2023] [Indexed: 09/12/2023] Open
Abstract
Background The aims were to study the sustainability of labour-market participation five years after an incident diagnosis of attention-deficit/hyperactivity disorder (ADHD) among young adults with gainful employment, and to examine the impact of sociodemographic-, work- and health-related factors on these findings. Methods Swedish registers identified 2517 individuals, 19-29 years old, with an incident diagnosis of ADHD and gainful employment during 2006-2011. Labour-market participation was measured by the core-peripheral model, a model that measures the connection to the labour market from a weak connection (peripheral) to a strong connection (core). Sequence analysis analysed clusters of labour-market participation, from one year before and up to five years after diagnosis. Odds ratios (OR) with 95% confidence intervals (CI) between sociodemographic factors, comorbid disorders, and the identified clusters were analysed by multinomial logistic regression. Results Five clusters of labour-market participation were identified: 60% of individuals belonged to a cluster that maintained labour-market participation throughout the study period (core, close to core); 20% belonged to a cluster with a transition to a weak connection to the labour market (close to peripheral, peripheral); and 20% belonged to a cluster with "middle" labour-market participation, characterised by having long periods of sick leave and unemployment. Individuals with elementary school as highest attained education (OR:4.03;CI:2.35-6.93), comorbid mental disorders (OR:2.77;CI:2.10-3.66), or living in villages/small cities (OR:1.77;CI:1.25-2.51) were most likely to belong to a cluster transitioning towards a "peripheral" labour-market participation. Men were less likely to have peripheral labour-market participation than women (OR:0.55;CI:0.40-0.75). Conclusions Over half of working individuals with ADHD maintain a strong attachment to the labour market several years after their first diagnosis of ADHD. Therefore, it is important to target those who have problems maintaining a position in the labour market, including women, those with low educational levels, and those living outside large cities.
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Affiliation(s)
- Magnus Helgesson
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, SE-17177, Stockholm, Sweden
- Department of Public Health and Caring Sciences, Health Equity and Working Life, Uppsala University, SE-752 37, Uppsala, Sweden
| | - Linnea Kjeldgård
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, SE-17177, Stockholm, Sweden
| | - Emma Björkenstam
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, SE-17177, Stockholm, Sweden
- Department of Medical Sciences, Psychiatry, Uppsala University, Uppsala, Sweden
| | - Syed Rahman
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, SE-17177, Stockholm, Sweden
| | - Klas Gustafsson
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, SE-17177, Stockholm, Sweden
| | - Heidi Taipale
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, SE-17177, Stockholm, Sweden
- Niuvanniemi Hospital, Kuopio, Finland
- School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - Antti Tanskanen
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, SE-17177, Stockholm, Sweden
- Niuvanniemi Hospital, Kuopio, Finland
| | - Lisa Ekselius
- Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden
| | - Ellenor Mittendorfer-Rutz
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, SE-17177, Stockholm, Sweden
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Hartman CA, Chen Q, Solberg BS, Du Rietz E, Klungsøyr K, Cortese S, Dalsgaard S, Haavik J, Ribasés M, Mostert JC, Libutzki B, Kittel-Schneider S, Cormand B, Vos M, Larsson H, Reif A, Faraone SV, Bellato A. Anxiety, mood, and substance use disorders in adult men and women with and without Attention-Deficit/Hyperactivity Disorder: a substantive and methodological overview. Neurosci Biobehav Rev 2023; 151:105209. [PMID: 37149075 DOI: 10.1016/j.neubiorev.2023.105209] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 04/16/2023] [Accepted: 05/01/2023] [Indexed: 05/08/2023]
Abstract
Knowledge on psychiatric comorbidity in adult ADHD is essential for prevention, detection, and treatment of these conditions. This review (1) focuses on large studies (n> 10,000; surveys, claims data, population registries) to identify (a) overall, (b) sex- and (c) age-specific patterns of comorbidity of anxiety disorders (ADs), major depressive disorder (MDD), bipolar disorder (BD) and substance use disorders (SUDs) in adults with ADHD relative to adults without ADHD; and (2) describes methodological challenges relating to establishing comorbidity in ADHD in adults as well as priorities for future research. Meta-analyses (ADHD: n=550,748; no ADHD n=14,546,814) yielded pooled odds ratios of 5.0(CI:3.29-7.46) for AD, 4.5(CI:2.44-8.34) for MDD, 8.7(CI:5.47-13.89) for BD and 4.6(CI:2.72-7.80) for SUDs, indicating strong differences in adults with compared to adults without ADHD. Moderation by sex was not found: high comorbidity held for both men and women with sex-specific patterns as in the general population: higher prevalences of ADs, MDD and BD in women and a higher prevalence of SUDs in men. Insufficient data on different phases of the adult lifespan prevented conclusions on developmental changes in comorbidity. We discuss methodological challenges, knowledge gaps, and future research priorities.
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Affiliation(s)
- Catharina A Hartman
- University Medical Center Groningen, Groningen, Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion regulation (ICPE), University of Groningen, the Netherlands.
| | - Qi Chen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Berit Skretting Solberg
- Child- and adolescent psychiatric outpatient unit, Hospital Betanien, Bergen, Norway; Department of Biomedicine, University of Bergen, Norway
| | - Ebba Du Rietz
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Kari Klungsøyr
- Department of Global Public Health and Primary Care, University of Bergen, Norway; Department of Health Promotion, Norwegian Institute of Public Health, Bergen, Norway
| | - Samuele Cortese
- Centre for Innovation in Mental Health, School of Psychology, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK; Clinical and Experimental Sciences (CNS and Psychiatry), Faculty of Medicine, University of Southampton, Southampton, UK; Solent NHS Trust, Southampton, UK; Hassenfeld Children's Hospital at NYU Langone, New York University Child Study Center, New York City, New York, USA; Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, Nottingham, UK
| | - Søren Dalsgaard
- NCRR - National Centre for Register-based Research, Aarhus University, Aarhus, Denmark; iPSYCH - The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Copenhagen and Aarhus, Denmark; CIRRAU - Centre for Integrated Register-based Research, Aarhus University, Aarhus, Denmark
| | - Jan Haavik
- Department of Biomedicine, University of Bergen, Norway; Bergen Center of Brain Plasticity, Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
| | - Marta Ribasés
- Department of Psychiatry, Mental Health and Addictions, Hospital Universitari Vall d'Hebron, Barcelona, Catalonia, Spain; Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain; Department of Genetics, Microbiology & Statistics, University of Barcelona, Barcelona, Spain
| | - Jeanette C Mostert
- Department of Psychiatry, Donders Institute for Brain, Behaviour and Cognition, Radboud University Medical Center Nijmegen, the Netherlands; Department of Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Berit Libutzki
- University Medical Center Groningen, Groningen, Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion regulation (ICPE), University of Groningen, the Netherlands
| | - Sarah Kittel-Schneider
- Department of Psychiatry, Psychotherapy and Psychosomatic, University Hospital Würzburg, Würzburg, Germany
| | - Bru Cormand
- Department of Genetics, Microbiology and Statistics, Faculty of Biology, University of Barcelona, Barcelona, Catalonia, Spain; Biomedical Network Research Centre on Rare Diseases (CIBERER), Instituto de Salud Carlos III, Spain; Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, Catalonia, Spain; Institut de Recerca Sant Joan de Déu (IR-SJD), Esplugues de Llobregat, Catalonia, Spain
| | - Melissa Vos
- University Medical Center Groningen, Groningen, Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion regulation (ICPE), University of Groningen, the Netherlands
| | - Henrik Larsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; School of Medical Sciences, Örebro University, Örebro, Sweden
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt - Goethe University, Frankfurt am Main, Germany
| | - Stephen V Faraone
- Departments of Psychiatry and of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Alessio Bellato
- School of Psychology, University of Nottingham, Semenyih, Malaysia
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Early-life factors associated with increased risk of disability pension in the national real-world schizophrenia FACE-SZ cohort study. Eur Arch Psychiatry Clin Neurosci 2022; 272:1379-1384. [PMID: 35333961 DOI: 10.1007/s00406-021-01364-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2021] [Accepted: 11/24/2021] [Indexed: 11/03/2022]
Abstract
Among severe psychiatric disorders, schizophrenia has one of the highest impacts on professional and personal functioning with important indirect costs including disability pension allowance for the patients with the more severe forms of schizophrenia. To explore early-life factors associated with disability pension in schizophrenia. 916 patients were consecutively recruited at a national level in 10 expert centers and received a comprehensive standardized evaluation. Their disability pension status and early-life variables were reported from medical records and validated scales. Eight factors were explored: age, male sex, parental history of severe mental illness, childhood trauma exposure, education level, childhood ADHD, early age at schizophrenia onset and duration of untreated psychosis. 739 (80.7%) participants received a disability pension. In the multivariate model, early age at schizophrenia onset and low education level were associated with disability pension independently of age and sex while no significant association was found for parent history of severe mental illness, childhood trauma, childhood ADHD or duration of untreated psychosis. Low education level and early age at schizophrenia onset seem the best predictors of increased risk of disability pension in schizophrenia.
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Gémes K, Björkenstam E, Rahman S, Gustafsson K, Taipale H, Tanskanen A, Ekselius L, Mittendorfer-Rutz E, Helgesson M. Occupational Branch and Labor Market Marginalization among Young Employees with Adult Onset of Attention Deficit Hyperactivity Disorder-A Population-Based Matched Cohort Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19127254. [PMID: 35742503 PMCID: PMC9223828 DOI: 10.3390/ijerph19127254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 06/08/2022] [Accepted: 06/09/2022] [Indexed: 11/30/2022]
Abstract
We compared labor market marginalization (LMM), conceptualized as days of unemployment, sickness absence and disability pension, across occupational branches (manufacturing, construction, trade, finance, health and social care, and education), among young employees with or without attention deficit hyperactivity disorder (ADHD) and examined whether sociodemographic and health-related factors explain these associations. All Swedish residents aged 19–29 years and employed between 1 January 2005 and 31 December 2011 were eligible. Individuals with a first ADHD diagnosis (n = 6030) were matched with ten controls and followed for five years. Zero-inflated negative binomial regression was used to model days of LMM with adjustments for sociodemographic and health-related factors. In total, 20% of those with ADHD and 59% of those without had no days of LMM during the follow-up. The median of those with LMM days with and without ADHD was 312 and 98 days. Having an ADHD diagnosis was associated with a higher incidence of LMM days (incident rate ratios (IRRs) 2.7–3.1) with no differences across occupational branches. Adjustments for sociodemographic and health-related factors explained most of the differences (IRRs: 1.4–1.7). In conclusion, young, employed adults with ADHD had a higher incidence of LMM days than those without, but there were no substantial differences between branches, even after adjusting for sociodemographic and health-related factors.
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Affiliation(s)
- Katalin Gémes
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, 17177 Stockholm, Sweden; (E.B.); (S.R.); (K.G.); (H.T.); (E.M.-R.); (M.H.)
- Correspondence:
| | - Emma Björkenstam
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, 17177 Stockholm, Sweden; (E.B.); (S.R.); (K.G.); (H.T.); (E.M.-R.); (M.H.)
- Department of Medical Sciences, Uppsala University, 75185 Uppsala, Sweden
| | - Syed Rahman
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, 17177 Stockholm, Sweden; (E.B.); (S.R.); (K.G.); (H.T.); (E.M.-R.); (M.H.)
| | - Klas Gustafsson
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, 17177 Stockholm, Sweden; (E.B.); (S.R.); (K.G.); (H.T.); (E.M.-R.); (M.H.)
| | - Heidi Taipale
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, 17177 Stockholm, Sweden; (E.B.); (S.R.); (K.G.); (H.T.); (E.M.-R.); (M.H.)
- Niuvanniemi Hospital, FI-70240 Kuopio, Finland;
- School of Pharmacy, University of Eastern Finland, FI-70211 Kuopio, Finland
| | | | - Lisa Ekselius
- Department Women’s and Children’s Health, Uppsala University, 75237 Uppsala, Sweden;
| | - Ellenor Mittendorfer-Rutz
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, 17177 Stockholm, Sweden; (E.B.); (S.R.); (K.G.); (H.T.); (E.M.-R.); (M.H.)
| | - Magnus Helgesson
- Department of Clinical Neuroscience, Division of Insurance Medicine, Karolinska Institutet, 17177 Stockholm, Sweden; (E.B.); (S.R.); (K.G.); (H.T.); (E.M.-R.); (M.H.)
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Virtanen M, Lallukka T, Alexanderson K, Helgesson M, Heikkilä K, Ervasti J, Pentti J, Vahtera J, Kivimäki M, Mittendorfer-Rutz E. Clustering of social disadvantage with attention-deficit/hyperactivity disorder in young adults: A register-based study in Sweden. Scand J Psychol 2022; 63:277-282. [PMID: 35416304 PMCID: PMC9545825 DOI: 10.1111/sjop.12814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 01/23/2022] [Accepted: 02/03/2022] [Indexed: 11/27/2022]
Abstract
The clustering of social disadvantage with attention‐deficit/hyperactivity disorder (ADHD) in young adulthood is not well understood. We examined the clustering of ADHD with low educational attainment and unemployment in young adulthood; whether such clustering is stronger when unemployment is prolonged; and whether further clustering of disability pensioning, low education and unemployment occurs among those with ADHD. Data were obtained from Swedish health, demographic and social security registers from which 8,990 individuals with recorded ADHD diagnoses at the age of 10–35 and their 44,387 matched referents without mental disorders. Social disadvantage was measured using data on educational attainment, unemployment and disability pension from the diagnosis year or age 19 if diagnosed at younger age. Clustering was examined by comparing observed and expected occurrence (O/E ratio) of all possible combinations of ADHD, low education and unemployment, and, among those with ADHD, additional combinations with new‐onset disability pension. The likelihood of having neither ADHD, low education nor unemployment was increased (O/E ratio = 1.20, 95% confidence interval 1.19–1.20 at baseline; 1.18, 1.17–1.18 at follow‐up), as well as having all three characteristics (O/E ratio = 3.99, 3.89–4.10 at baseline; 5.68, 5.47–5.89 at follow‐up). This clustering was stronger among women than men and when unemployment was prolonged. The results suggest that low education and unemployment appear to cluster remarkably with ADHD among young adults, more so among women and when unemployment is prolonged.
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Affiliation(s)
- Marianna Virtanen
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.,School of Educational Sciences and Psychology, University of Eastern Finland, Joensuu, Finland
| | - Tea Lallukka
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.,Clinicum, Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Kristina Alexanderson
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Magnus Helgesson
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Katriina Heikkilä
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.,Department of Public Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Jenni Ervasti
- Finnish Institute of Occupational Health, Helsinki, Finland
| | - Jaana Pentti
- Clinicum, Department of Public Health, University of Helsinki, Helsinki, Finland.,Department of Public Health, University of Turku and Turku University Hospital, Turku, Finland
| | - Jussi Vahtera
- Department of Public Health, University of Turku and Turku University Hospital, Turku, Finland
| | - Mika Kivimäki
- Clinicum, Department of Public Health, University of Helsinki, Helsinki, Finland.,Department of Epidemiology & Public Health, University College London, London, UK
| | - Ellenor Mittendorfer-Rutz
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
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