Association between Adverse Childhood Experiences and Multiple Sclerosis in Icelandic Women—A Population-Based Cohort Study
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Population
2.2. Measurements
2.3. Adverse Childhood Experiences (ACEs)
2.4. Prevalent Multiple Sclerosis
2.5. Covariates
2.6. Statistical Analysis
3. Results
4. Discussion
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Benjet, C.; Bromet, E.; Karam, E.G.; Kessler, R.C.; McLaughlin, K.A.; Ruscio, A.M.; Shahly, V.; Stein, D.J.; Petukhova, M.; Hill, E.; et al. The epidemiology of traumatic event exposure worldwide: Results from the World Mental Health Survey Consortium. Psychol. Med. 2015, 46, 327–343. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Kilpatrick, D.G.; Resnick, H.S.; Milanak, M.E.; Miller, M.W.; Keyes, K.M.; Friedman, M.J. National estimates of exposure to traumatic events and PTSD prevalence using DSM-IV and DSM-5 criteria. J. Trauma. Stress 2013, 26, 537–547. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Kessler, R.C.; Aguilar-Gaxiola, S.; Alonso, J.; Benjet, C.; Bromet, E.J.; Cardoso, G.; Degenhardt, L.; de Girolamo, G.; Dinolova, R.V.; Ferry, F.; et al. Trauma and PTSD in the WHO World Mental Health Surveys. Eur. J. Psychotraumatol. 2017, 8 (Suppl. 5), 1353383. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Brady, K.T.; Back, S.E. Childhood trauma, posttraumatic stress disorder, and alcohol dependence. Alcohol Res. Curr. Rev. 2012, 34, 408–413. [Google Scholar]
- Ayaydin, H.; Abali, O.; Akdeniz, N.O.; Kok, B.E.; Gunes, A.; Yildirim, A.; Deniz, G. Immune system changes after sexual abuse in adolescents. Pediatr. Int. Off. J. Jpn. Pediatr. Soc. 2016, 58, 105–112. [Google Scholar] [CrossRef]
- Joos, C.M.; McDonald, A.; Wadsworth, M.E. Extending the toxic stress model into adolescence: Profiles of cortisol reactivity. Psychoneuroendocrinology 2019, 107, 46–58. [Google Scholar] [CrossRef]
- Koss, K.J.; Gunnar, M.R. Annual Research Review: Early adversity, the hypothalamic-pituitary-adrenocortical axis, and child psychopathology. J. Child Psychol. Psychiatry 2018, 59, 327–346. [Google Scholar] [CrossRef] [Green Version]
- Agorastos, A.; Nicolaides, N.C.; Bozikas, V.P.; Chrousos, G.P.; Pervanidou, P. Multilevel Interactions of Stress and Circadian System: Implications for Traumatic Stress. Front. Psychiatry 2019, 10, 1003. [Google Scholar] [CrossRef]
- Beery, A.K.; Kaufer, D. Stress, social behavior, and resilience: Insights from rodents. Neurobiol. Stress 2015, 1, 116–127. [Google Scholar] [CrossRef] [Green Version]
- Finnell, J.E.; Lombard, C.M.; Padi, A.R.; Moffitt, C.M.; Wilson, L.B.; Wood, C.S.; Wood, S.K. Physical versus psychological social stress in male rats reveals distinct cardiovascular, inflammatory and behavioral consequences. PLoS ONE 2012, 12, e0172868. [Google Scholar] [CrossRef] [Green Version]
- Kompier, N.F.; Keysers, C.; Gazzola, V.; Lucassen, P.J.; Krugers, H.J. Early Life Adversity and Adult Social Behavior: Focus on Arginine Vasopressin and Oxytocin as Potential Mediators. Front. Behav. Neurosci. 2019, 13, 143. [Google Scholar] [CrossRef] [PubMed]
- Laman-Maharg, A.; Trainor, B.C. Stress, sex, and motivated behaviors. J. Neurosci. Res. 2017, 95, 83–92. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Seetharaman, S.; Fleshner, M.; Park, C.R.; Diamond, D.M. Influence of daily social stimulation on behavioral and physiological outcomes in an animal model of PTSD. Brain Behav. 2016, 6, e00458. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Bookwalter, D.B.; Roenfeldt, K.A.; LeardMann, C.A.; Kong, S.Y.; Riddle, M.S.; Rull, R.P. Posttraumatic stress disorder and risk of selected autoimmune diseases among US military personnel. BMC Psychiatry 2020, 20, 23. [Google Scholar] [CrossRef] [PubMed]
- Eisen, S.A.; Neuman, R.; Goldberg, J.; True, W.R.; Rice, J.; Scherrer, J.F.; Lyons, M.J. Contribution of emotionally traumatic events and inheritance to the report of current physical health problems in 4042 Vietnam era veteran twin pairs. Psychosom. Med. 1998, 60, 533–539. [Google Scholar] [CrossRef]
- Kohn, R.; Levav, I.; Liphshitz, I.; Barchana, M.; Keinan-Boker, L. Cancer incidence and mortality following exposures to distal and proximal major stressors. Soc. Psychiatry Psychiatr. Epidemiol. 2014, 49, 703–709. [Google Scholar] [CrossRef]
- Remch, M.; Laskaris, Z.; Flory, J.; Mora-McLaughlin, C.; Morabia, A. Post-Traumatic Stress Disorder and Cardiovascular Diseases: A Cohort Study of Men and Women Involved in Cleaning the Debris of the World Trade Center Complex. Circ. Cardiovasc. Qual. Outcomes 2018, 11, e004572. [Google Scholar] [CrossRef]
- Sakai, A.; Nakano, H.; Ohira, T.; Maeda, M.; Okazaki, K.; Takahashi, A.; Kawasaki, Y.; Satoh, H.; Ohtsuru, A. Relationship between the prevalence of polycythemia and factors observed in the mental health and lifestyle survey after the Great East Japan Earthquake. Medicine 2020, 99, e18486. [Google Scholar] [CrossRef] [Green Version]
- O’Donovan, A.; Cohen, B.E.; Seal, K.H.; Bertenthal, D.; Margaretten, M.; Nishimi, K.; Neylan, T.C. Elevated risk for autoimmune disorders in iraq and afghanistan veterans with posttraumatic stress disorder. Biol. Psychiatry 2015, 77, 365–374. [Google Scholar] [CrossRef] [Green Version]
- Webber, M.P.; Moir, W.; Crowson, C.S.; Cohen, H.W.; Zeig-Owens, R.; Hall, C.B.; Berman, J.; Qayyum, B.; Jaber, N.; Matteson, E.L.; et al. Post-September 11, 2001, Incidence of Systemic Autoimmune Diseases in World Trade Center-Exposed Firefighters and Emergency Medical Service Workers. Mayo Clin. Proc. 2016, 91, 23–32. [Google Scholar] [CrossRef] [Green Version]
- McGinley, M.P.; Goldschmidt, C.H.; Rae-Grant, A.D. Diagnosis and Treatment of Multiple Sclerosis: A Review. Jama 2021, 325, 765–779. [Google Scholar] [CrossRef] [PubMed]
- Compston, A.; Coles, A. Multiple sclerosis. Lancet 2008, 372, 1502–1517. [Google Scholar] [CrossRef]
- Goodin, D.S. The epidemiology of multiple sclerosis: Insights to a causal cascade. In Handbook of Clinical Neurology; Elsevier: Amsterdam, The Netherlands, 2016; Volume 138, pp. 173–206. [Google Scholar]
- Howard, J.; Trevick, S.; Younger, D.S. Epidemiology of Multiple Sclerosis. Neurol. Clin. 2016, 34, 919–939. [Google Scholar] [CrossRef] [PubMed]
- Gunnarsson, M.; Udumyan, R.; Bahmanyar, S.; Nilsagård, Y.; Montgomery, S. Characteristics in childhood and adolescence associated with future multiple sclerosis risk in men: Cohort study. Eur. J. Neurol. 2015, 22, 1131–1137. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Nielsen, N.M.; Pedersen, B.V.; Stenager, E.; Koch-Henriksen, N.; Frisch, M. Stressful life-events in childhood and risk of multiple sclerosis: A Danish nationwide cohort study. Mult. Scler. J. 2014, 20, 1609–1615. [Google Scholar] [CrossRef]
- Riise, T.; Mohr, D.C.; Munger, K.L.; Rich-Edwards, J.W.; Kawachi, I.; Ascherio, A. Stress and the risk of multiple sclerosis. Neurology 2011, 76, 1866–1871. [Google Scholar] [CrossRef] [Green Version]
- Shaw, M.T.; Pawlak, N.O.; Frontario, A.; Sherman, K.; Krupp, L.B.; Charvet, L.E. Adverse Childhood Experiences Are Linked to Age of Onset and Reading Recognition in Multiple Sclerosis. Front. Neurol. 2017, 8, 242. [Google Scholar] [CrossRef] [Green Version]
- Spitzer, C.; Bouchain, M.; Winkler, L.Y.; Wingenfeld, K.; Gold, S.M.; Grabe, H.J.; Barnow, S.; Otte, C.; Heesen, C. Childhood trauma in multiple sclerosis: A case-control study. Psychosom. Med. 2012, 74, 312–318. [Google Scholar] [CrossRef]
- Daníelsdóttir, H.B.; Aspelund, T.; Thordardottir, E.B.; Fall, K.; Fang, F.; Tómasson, G.; Rúnarsdóttir, H.; Yang, Q.; Choi, K.W.; Kennedy, B.; et al. Adverse childhood experiences and resilience among adult women: A population-based study. Elife 2022, 11, e71770. [Google Scholar] [CrossRef]
- The SAGA Cohort. Available online: https://afallasaga.is/en/ (accessed on 15 April 2022).
- Buysse, D.J.; Reynolds, C.F., III; Monk, T.H.; Berman, S.R.; Kupfer, D.J. The Pittsburgh Sleep Quality Index: A new instrument for psychiatric practice and research. Psychiatry Res. 1989, 28, 193–213. [Google Scholar] [CrossRef]
- Kroenke, K.; Spitzer, R.L.; Williams, J.B. The PHQ-9: Validity of a brief depression severity measure. J. Gen. Intern. Med. 2001, 16, 606–613. [Google Scholar] [CrossRef] [PubMed]
- Kroenke, K.; Spitzer, R.L.; Williams, J.B. The PHQ-15: Validity of a new measure for evaluating the severity of somatic symptoms. Psychosom. Med. 2002, 64, 258–266. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Blevins, C.A.; Weathers, F.W.; Davis, M.T.; Witte, T.K.; Domino, J.L. The Posttraumatic Stress Disorder Checklist for DSM-5 (PCL-5): Development and Initial Psychometric Evaluation. J. Trauma. Stress 2015, 28, 489–498. [Google Scholar] [CrossRef] [PubMed]
- Bovin, M.J.; Marx, B.P.; Weathers, F.W.; Gallagher, M.W.; Rodriguez, P.; Schnurr, P.P.; Keane, T.M. Psychometric properties of the PTSD Checklist for Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition (PCL-5) in veterans. Psychol. Assess. 2016, 28, 1379–1391. [Google Scholar] [CrossRef] [PubMed]
- World Health Organization. Adverse Childhood Experiences International Questionnaire. In Adverse Childhood Experiences International Questionnaire (ACE-IQ) Guidance for Analysing ACE-IQ; WHO: Geneva, Switzerland, 2018. [Google Scholar]
- Bellis, M.A.; Hughes, K.; Ford, K.; Ramos Rodriguez, G.; Sethi, D.; Passmore, J. Life course health consequences and associated annual costs of adverse childhood experiences across Europe and North America: A systematic review and meta-analysis. Lancet Public Health 2019, 4, e517–e528. [Google Scholar] [CrossRef] [Green Version]
- Olek, M.J. Multiple Sclerosis. Ann Intern Med. 2021, 174, Itc81–Itc96. [Google Scholar] [CrossRef]
- Barros, A.J.; Hirakata, V.N. Alternatives for logistic regression in cross-sectional studies: An empirical comparison of models that directly estimate the prevalence ratio. BMC Med Res Methodol. 2003, 3, 21. [Google Scholar] [CrossRef] [Green Version]
- Sonuga-Barke, E.J.; Kennedy, M.; Kumsta, R.; Knights, N.; Golm, D.; Rutter, M.; Maughan, B.; Schlotz, W.; Kreppner, J. Child-to-adult neurodevelopmental and mental health trajectories after early life deprivation: The young adult follow-up of the longitudinal English and Romanian Adoptees study. Lancet 2017, 389, 1539–1548. [Google Scholar] [CrossRef] [Green Version]
- Ascherio, A.; Munger, K.L. Epidemiology of Multiple Sclerosis: From Risk Factors to Prevention—An Update. Semin. Neurol. 2016, 36, 103–114. [Google Scholar] [CrossRef]
- Yang, Q.; Þórðardóttir, E.B.; Hauksdóttir, A.; Aspelund, T.; Jakobsdóttir, J.; Halldorsdottir, T.; Tomasson, G.; Rúnarsdóttir, H.; Danielsdottir, H.B.; Bertone-Johnson, E.R.; et al. Association between adverse childhood experiences and premenstrual disorders: A cross-sectional analysis of 11,973 women. BMC Med. 2022, 20, 60. [Google Scholar] [CrossRef]
- Duke, N.N.; Pettingell, S.L.; McMorris, B.J.; Borowsky, I.W. Adolescent violence perpetration: Associations with multiple types of adverse childhood experiences. Pediatrics 2010, 125, e778–e786. [Google Scholar] [CrossRef] [PubMed]
- Sveinbjornsdottir, S.; Magnusson, H.; Benedikz, J.E.G. Multiple sclerosis in Iceland from 1900 to 2000: A total population study. Mult. Scler. Relat. Disord. 2014, 3, 375–383. [Google Scholar] [CrossRef] [PubMed]
- Kessler, R.C.; McLaughlin, K.A.; Green, J.G.; Gruber, M.J.; Sampson, N.A.; Zaslavsky, A.M.; Aguilar-Gaxiola, S.; Alhamzawi, A.O.; Alonso, J.; Angermeyer, M.; et al. Childhood adversities and adult psychopathology in the WHO World Mental Health Surveys. Br. J. Psychiatry 2010, 197, 378–385. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Mock, S.E.; Arai, S.M. Childhood trauma and chronic illness in adulthood: Mental health and socioeconomic status as explanatory factors and buffers. Front. Psychol. 2010, 1, 246. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Marrie, R.A.; Cutter, G.; Tyry, T.; Campagnolo, D.; Vollmer, T. Validation of the NARCOMS registry: Diagnosis. Mult. Scler. J. 2007, 13, 770–775. [Google Scholar] [CrossRef] [PubMed]
- Middleton, R.M.; Rodgers, W.J.; Chataway, J.; Schmierer, K.; Rog, D.; Galea, I.; Akbari, A.; Tuite-Dalton, K.; Lockhart-Jones, H.; Griffiths, D.; et al. Validating the portal population of the United Kingdom Multiple Sclerosis Register. Mult. Scler. Relat. Disord. 2018, 24, 3–10. [Google Scholar] [CrossRef] [Green Version]
- Eliasdottir, O.; Kjartansson, O.; Olafsson, E. Prevalence of Multiple Sclerosis in Iceland. Neuroepidemiology 2018, 51, 50–56. [Google Scholar] [CrossRef] [PubMed]
- Dube, S.R.; Williamson, D.F.; Thompson, T.; Felitti, V.J.; Anda, R.F. Assessing the reliability of retrospective reports of adverse childhood experiences among adult HMO members attending a primary care clinic. Child Abus. Negl. 2004, 28, 729–737. [Google Scholar] [CrossRef]
Characteristic | No MS (N = 27,656) | MS (N = 214) |
---|---|---|
Age (years) | ||
Mean ± SD | 44.9 ± 14.2 | 45.6 ± 11.1 |
18–30 | 5029 (18.2%) | 15 (7.0%) |
30–39 | 5365 (19.4%) | 60 (28.0%) |
40–49 | 6025 (21.8%) | 58 (27.1%) |
50–59 | 6263 (22.6%) | 58 (27.1%) |
60–69 | 4974 (18.0%) | 23 (10.7%) |
Relationship status | ||
In a relationship | 20,768 (75.1%) | 169 (79.0%) |
Single and/or widowed | 6742 (24.4%) | 43 (20.1%) |
Unknown | 146 (0.5%) | 2 (0.9%) |
Highest Level of Education | ||
Primary/Elementary school | 4094 (14.8%) | 33 (15.4%) |
Secondary a | 8571 (31.0%) | 64 (29.9%) |
University degree | 14,875 (53.8%) | 116 (54.2%) |
Unknown | 116 (0.4%) | 1 (0.5%) |
Monthly Income (USD) * | ||
≤$2700 | 8274 (29.9%) | 85 (39.7%) |
$2701–4500 | 8378 (30.3%) | 72 (33.6%) |
≥$4501 | 9918 (35.9%) | 49 (22.9%) |
Unknown | 1086 (3.9%) | 8 (3.7%) |
Job Status † | ||
Actively working | 22,774 (82.3%) | 118 (55.1%) |
Not actively working | 4692 (17.0%) | 94 (43.9%) |
Unknown | 190 (0.7%) | 2 (0.9%) |
Born in Iceland | ||
No | 1171 (4.2%) | 10 (4.7%) |
Yes | 26,432 (95.6%) | 204 (95.3%) |
Unknown | 53 (0.2%) | 0 (0%) |
Residence in urban or rural area | ||
Urban | 25,386 (91.8%) | 198 (92.5%) |
Rural | 1823 (6.6%) | 14 (6.5%) |
Unknown | 447 (1.6%) | 2 (0.9%) |
Number of alcoholic drinks per time, on average | ||
none | 2686 (9.7%) | 25 (11.7%) |
1 | 5152 (18.6%) | 42 (19.6%) |
2–3 | 11,765 (42.5%) | 96 (44.9%) |
≥4 | 6691 (24.2%) | 39 (18.2%) |
Unknown | 1362 (4.9%) | 12 (5.6%) |
Smoking status | ||
Never | 12,983 (46.9%) | 101 (47.2%) |
Former | 10,136 (36.7%) | 84 (39.3%) |
Current | 4194 (15.2%) | 27 (12.6%) |
Unknown | 343 (1.2%) | 2 (0.9%) |
BMI | ||
≤24.9 | 9681 (35.0%) | 73 (34.1%) |
25–29.9 | 9031 (32.7%) | 64 (29.9%) |
≥30 | 8604 (31.1%) | 75 (35.0%) |
Unknown | 340 (1.2%) | 2 (0.9%) |
Depressive symptoms b | ||
minimal | 10,871 (39.3%) | 68 (31.8%) |
mild | 8589 (31.1%) | 68 (31.8%) |
moderate | 4375 (15.8%) | 44 (20.6%) |
moderately severe | 2472 (8.9%) | 20 (9.3%) |
severe | 1349 (4.9%) | 14 (6.5%) |
Childhood Deprivation level | ||
never | 20,843 (75.4%) | 159 (74.3%) |
seldom | 3070 (11.1%) | 26 (12.1%) |
sometimes | 2451 (8.9%) | 15 (7.0%) |
often | 1202 (4.3%) | 14 (6.5%) |
Unknown | 90 (0.3%) | 0 (0%) |
PTSD | ||
No | 25,558 (92.4%) | 193 (90.2%) |
Probable | 2098 (7.6%) | 21 (9.8%) |
No MS Mean ± SD or Number (%) | MS Mean ± SD or Number (%) | Model 1 PR (95% CI) a | Model 2 PR (95% CI) b | Model 3 PR (95% CI) c | |
---|---|---|---|---|---|
Total number of ACEs, per ACE | 2.1 ± 2.2 | 2.2 ± 2.3 | 1.03 (0.96, 1.10) | 1.01 (0.93, 1.09) | 1.00 (0.92, 1.09) |
By number of ACEs | |||||
0 | 5972 (26.8) | 44 (26.7) | Ref. | Ref. | Ref. |
1–2 | 9033 (40.6) | 63 (38.2) | 0.95 (0.65, 1.40) | 0.94 (0.64, 1.39) | 0.94 (0.64, 1.41) |
≥3 | 7259 (32.6) | 58 (35.2) | 1.09 (0.74, 1.62) | 1.02 (0.67, 1.56) | 0.99 (0.63, 1.54) |
ACE | No MS, Number (%) | MS, Number (%) | PR (95% CI) b | PR (95% CI) c |
---|---|---|---|---|
Abuse | ||||
Physical | 1484 (5.4%) | 13 (6.1%) | 1.02 (0.54, 1.76) | 0.51 (0.17, 1.23) |
Emotional | 4300 (15.5%) | 37 (17.3%) | 1.10 (0.74, 1.60) | 1.13 (0.65, 1.91) |
Sexual | 1278 (4.6%) | 13 (6.1%) | 1.24 (0.66, 2.12) | 1.04 (0.46, 2.04) |
Neglect | ||||
Physical | 2139 (7.7%) | 20 (9.3%) | 1.13 (0.67, 1.81) | 1.32 (0.71, 2.32) |
Emotional | 8843 (32.0%) | 68 (31.8%) | 0.89 (0.64, 1.22) | 0.81 (0.54, 1.20) |
Household dysfunction | ||||
Family violence | 6858 (24.8%) | 62 (29.0%) | 1.13 (0.81, 1.55) | 1.15 (0.73, 1.77) |
Parental separation or divorce | 10,630 (38.4%) | 89 (41.6%) | 1.11 (0.83, 1.49) | 1.21 (0.86, 1.68) |
Substance abuse | 9527 (34.4%) | 67 (31.3%) | 0.82 (0.6, 1.11) | 0.89 (0.60, 1.29) |
Incarcerated household member | 1541 (5.6%) | 11 (5.1%) | 0.89 (0.45, 1.58) | 0.92 (0.40, 1.83) |
Mental illness | 8802 (31.8%) | 66 (30.8%) | 0.85 (0.62, 1.16) | 0.95 (0.65, 1.38) |
Violence | ||||
Community violence | 1052 (3.8%) | 7 (3.3%) | 0.81 (0.34, 1.62) | 0.62 (0.19, 1.54) |
Bullying | 4633 (16.8%) | 48 (22.4%) | 1.17 (0.88, 1.57) | 1.27 (0.83, 1.91) |
Collective violence | 1128 (4.1%) | 10 (4.7%) | 1.02 (0.48, 1.89) | 1.13 (0.47, 2.26) |
No MS | MS | ||
---|---|---|---|
N = 27,656 | N = 214 | p-Value a | |
Body pain b,c | 46.3% | 52.8% | 0.05 |
Fatigue | 24.3% | 38.3% | <0.0001 |
Neurocognitive disorder d | 0.1% | 0.5% | 0.22 |
Bladder problems b | 26.7% | 36.0% | 0.007 |
Sexual problems b,e | 5.0% | 3.3% | 0.29 |
Bowel conditions b,f | 21.1% | 23.8% | 0.33 |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Gatto, N.M.; Thordardottir, E.B.; Tomasson, G.; Rúnarsdóttir, H.; Song, H.; Jakobsdóttir, J.; Aspelund, T.; Valdimarsdóttir, U.A.; Hauksdóttir, A. Association between Adverse Childhood Experiences and Multiple Sclerosis in Icelandic Women—A Population-Based Cohort Study. Brain Sci. 2022, 12, 1559. https://doi.org/10.3390/brainsci12111559
Gatto NM, Thordardottir EB, Tomasson G, Rúnarsdóttir H, Song H, Jakobsdóttir J, Aspelund T, Valdimarsdóttir UA, Hauksdóttir A. Association between Adverse Childhood Experiences and Multiple Sclerosis in Icelandic Women—A Population-Based Cohort Study. Brain Sciences. 2022; 12(11):1559. https://doi.org/10.3390/brainsci12111559
Chicago/Turabian StyleGatto, Nicole M., Edda Bjork Thordardottir, Gunnar Tomasson, Harpa Rúnarsdóttir, Huan Song, Jóhanna Jakobsdóttir, Thor Aspelund, Unnur Anna Valdimarsdóttir, and Arna Hauksdóttir. 2022. "Association between Adverse Childhood Experiences and Multiple Sclerosis in Icelandic Women—A Population-Based Cohort Study" Brain Sciences 12, no. 11: 1559. https://doi.org/10.3390/brainsci12111559
APA StyleGatto, N. M., Thordardottir, E. B., Tomasson, G., Rúnarsdóttir, H., Song, H., Jakobsdóttir, J., Aspelund, T., Valdimarsdóttir, U. A., & Hauksdóttir, A. (2022). Association between Adverse Childhood Experiences and Multiple Sclerosis in Icelandic Women—A Population-Based Cohort Study. Brain Sciences, 12(11), 1559. https://doi.org/10.3390/brainsci12111559