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Cullati S, Sieber S, Gabriel R, Studer M, Chiolero A, van der Linden BWA. Lifetime Employment Trajectories and Cancer: A Population-Based Cohort Study. RESEARCH SQUARE 2024:rs.3.rs-4207039. [PMID: 38699299 PMCID: PMC11065066 DOI: 10.21203/rs.3.rs-4207039/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2024]
Abstract
Working life is associated with lifestyle, screening uptake, and occupational health risks that may explain differences in cancer onset. To better understand the association between working life and cancer risk, we need to account for the entire employment history. We investigated whether lifetime employment trajectories are associated with cancer risk. We used data from 6,809 women and 5,716 men, average age 70 years, from the Survey of Health, Ageing, and Retirement in Europe. Employment history from age 16 to 65 was collected retrospectively using a life calendar and trajectories were constructed using sequence analysis. Associations between employment trajectories and self-reported cancer were assessed using logistic regression. We identified eight employment trajectories for women and two for men. Among women, the risk of cancer was higher in the trajectories "Mainly full-time to home/family", "Full-time or home/family to part-time", "Mainly full-time", and "Other" compared with the "Mainly home/family" trajectory. Among men, the risk of cancer was lower in the "Mainly self-employment" trajectory compared with "Mainly full-time". We could show how employment trajectories were associated with cancer risk, underlining the potential of sequence analysis for life course epidemiology. More research is needed to understand these associations and determine if causal relationships exist.
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Adams C, Manouchehrinia A, Quach HL, Quach DL, Olsson T, Kockum I, Schaefer C, Ponting CP, Alfredsson L, Barcellos LF. Evidence supports a causal association between allele-specific vitamin D receptor binding and multiple sclerosis among Europeans. Proc Natl Acad Sci U S A 2024; 121:e2302259121. [PMID: 38346204 PMCID: PMC10895341 DOI: 10.1073/pnas.2302259121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Accepted: 12/11/2023] [Indexed: 02/15/2024] Open
Abstract
Although evidence exists for a causal association between 25-hydroxyvitamin D (25(OH)D) serum levels, and multiple sclerosis (MS), the role of variation in vitamin D receptor (VDR) binding in MS is unknown. Here, we leveraged previously identified variants associated with allele imbalance in VDR binding (VDR-binding variant; VDR-BV) in ChIP-exo data from calcitriol-stimulated lymphoblastoid cell lines and 25(OH)D serum levels from genome-wide association studies to construct genetic instrumental variables (GIVs). GIVs are composed of one or more genetic variants that serve as proxies for exposures of interest. Here, GIVs for both VDR-BVs and 25(OH)D were used in a two-sample Mendelian Randomization study to investigate the relationship between VDR binding at a locus, 25(OH)D serum levels, and MS risk. Data for 13,598 MS cases and 38,887 controls of European ancestry from Kaiser Permanente Northern California, Swedish MS studies, and the UK Biobank were included. We estimated the association between each VDR-BV GIV and MS. Significant interaction between a VDR-BV GIV and a GIV for serum 25OH(D) was evidence for a causal association between VDR-BVs and MS unbiased by pleiotropy. We observed evidence for associations between two VDR-BVs (rs2881514, rs2531804) and MS after correction for multiple tests. There was evidence of interaction between rs2881514 and a 25(OH)D GIV, providing evidence of a causal association between rs2881514 and MS. This study is the first to demonstrate evidence that variation in VDR binding at a locus contributes to MS risk. Our results are relevant to other autoimmune diseases in which vitamin D plays a role.
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Affiliation(s)
- Cameron Adams
- Genetic Epidemiology and Genomics Laboratory, School of Public Health, University of California, Berkeley, CA94720
| | - Ali Manouchehrinia
- Division of Neuro, Department of Clinical Neuroscience, Karolinska Institutet, StockholmSE-171 77, Sweden
- The Karolinska Neuroimmunology & Multiple Sclerosis Centre, Centrum for Molecular Medicine, Karolinska University Hospital, StockholmSE-171 77, Sweden
| | - Hong L. Quach
- Genetic Epidemiology and Genomics Laboratory, School of Public Health, University of California, Berkeley, CA94720
| | - Diana L. Quach
- Genetic Epidemiology and Genomics Laboratory, School of Public Health, University of California, Berkeley, CA94720
| | - Tomas Olsson
- Division of Neuro, Department of Clinical Neuroscience, Karolinska Institutet, StockholmSE-171 77, Sweden
- The Karolinska Neuroimmunology & Multiple Sclerosis Centre, Centrum for Molecular Medicine, Karolinska University Hospital, StockholmSE-171 77, Sweden
- Academic Specialist Center, Stockholm113 65, Sweden
| | - Ingrid Kockum
- Division of Neuro, Department of Clinical Neuroscience, Karolinska Institutet, StockholmSE-171 77, Sweden
- The Karolinska Neuroimmunology & Multiple Sclerosis Centre, Centrum for Molecular Medicine, Karolinska University Hospital, StockholmSE-171 77, Sweden
- Academic Specialist Center, Stockholm113 65, Sweden
| | - Catherine Schaefer
- Kaiser Permanente Division of Research, Kaiser Permanente Northern California, Oakland, CA94612
| | - Chris P. Ponting
- Medical Research Council Human Genetics Unit, The Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, EdinburghEH4 2XU, United Kingdom
| | - Lars Alfredsson
- Division of Neuro, Department of Clinical Neuroscience, Karolinska Institutet, StockholmSE-171 77, Sweden
- Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm113 65, Sweden
- Institute of Environmental Medicine, Karolinska Institutet, StockholmSE-171 77, Sweden
| | - Lisa F. Barcellos
- Genetic Epidemiology and Genomics Laboratory, School of Public Health, University of California, Berkeley, CA94720
- Kaiser Permanente Division of Research, Kaiser Permanente Northern California, Oakland, CA94612
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Zeytin Demiral G, Türk Börü Ü, Bölük C, Betaş Akın S, Çulhaoğlu Gökçek D, Hoşgeldi HT, Yorgancı S. Multiple sclerosis prevalence and its relationship with economic status in Afyonkarahisar, Turkey. Mult Scler Relat Disord 2024; 81:105366. [PMID: 38104477 DOI: 10.1016/j.msard.2023.105366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 12/01/2023] [Accepted: 12/07/2023] [Indexed: 12/19/2023]
Abstract
BACKGROUND Over the past decade, the prevalence of Multiple Sclerosis (MS) has increased in Turkey. However, the prevalence of MS in Middle Anatolia, specifically Afyonkarahisar, remains unknown. Additionally, the potential link between economic status and MS has not yet been explored in Turkey. METHODS A stratified sampling method was employed to select samples from the population residing in Afyonkarahisar City Center, taking into account demographic factors such as income level, sex, and age. The sample size was calculated using the formula N = p.q.Zα2/d2, where an average prevalence rate of 70/100,000 was considered based on previous studies. The minimum sample size was 29,858. Considering incomplete, inaccurate, and low-reliability data, data were collected from 30,500 individuals and 30,408 individuals were evaluated. RESULTS The prevalence of Multiple Sclerosis in the center of Afyonkarahisar was 105.2 per 100,000 individuals. Upon investigating the association between economic status and MS prevalence, the findings revealed rates of 193.6 per 100,000 in individuals with high income, contrasting with 80.2 per 100,000 in those with low income. Notably, a heightened prevalence of MS is evident among individuals with higher income levels. CONCLUSION This study revealed a significantly elevated prevalence of MS in Afyonkarahisar, the highest in Turkey. The inverse correlation between the prevalence of MS and socioeconomic status is intriguing. Possible reasons for the high prevalence include the relatively new and specific geologic and environmental conditions in the area.
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Affiliation(s)
- Gökçe Zeytin Demiral
- Department of Neurology, Afyonkarahisar University of Health Sciences/Medicine Hospital, 2078 Street, No: 3, Block C, Afyonkarahisar 03030, Turkey.
| | - Ülkü Türk Börü
- Department of Neurology, Afyonkarahisar University of Health Sciences/Medicine Hospital, 2078 Street, No: 3, Block C, Afyonkarahisar 03030, Turkey
| | - Cem Bölük
- Clinic of Clinical Neurophysiology, Sanliurfa Training and Research Hospital, Sanliurfa, Turkey
| | - Selin Betaş Akın
- Department of Neurology, Afyonkarahisar University of Health Sciences/Medicine Hospital, 2078 Street, No: 3, Block C, Afyonkarahisar 03030, Turkey
| | - Dilara Çulhaoğlu Gökçek
- Department of Neurology, Afyonkarahisar University of Health Sciences/Medicine Hospital, 2078 Street, No: 3, Block C, Afyonkarahisar 03030, Turkey
| | - Hilal Tuğba Hoşgeldi
- Department of Neurology, Afyonkarahisar University of Health Sciences/Medicine Hospital, 2078 Street, No: 3, Block C, Afyonkarahisar 03030, Turkey
| | - Sinem Yorgancı
- Department of Neurology, Afyonkarahisar University of Health Sciences/Medicine Hospital, 2078 Street, No: 3, Block C, Afyonkarahisar 03030, Turkey
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Guerrero KS, Horton MK, Choudhary V, Bellesis KH, Dorin P, Mei J, Chinn T, Meyers TJ, Schaefer CA, Barcellos LF. Adverse childhood experiences in early life increase the odds of depression among adults with multiple sclerosis. Mult Scler J Exp Transl Clin 2023; 9:20552173231202638. [PMID: 37808459 PMCID: PMC10552460 DOI: 10.1177/20552173231202638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 09/05/2023] [Indexed: 10/10/2023] Open
Abstract
Background Adverse childhood experiences are demonstrated risk factors for depression, a common co-morbidity of multiple sclerosis, but are understudied among people with multiple sclerosis. Objective Estimate the association between adverse childhood experiences and depression among 1,990 adults with multiple sclerosis. Methods Participants were members of Kaiser Permanente Northern California from two studies between 2006 and 2021 and were diagnosed with multiple sclerosis by a neurologist. Adverse childhood experiences were assessed using two instruments, including the Behavioral Risk Factor Surveillance System. Participants self-reported ever experiencing a major depressive episode. Meta-analysis random effects models and logistic regression were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) to assess the relationship between adverse childhood experiences and a history of depression across study samples. Adverse childhood experiences were expressed as any/none, individual events, and counts. Models adjusted for sex, birth year, race, and ethnicity. Results Exposure to any adverse childhood experiences increased the odds of depression in people with multiple sclerosis (OR: 1.71, 95% CI: 1.21-2.42). Several individual adverse childhood experiences were also strongly associated with depression, including "significant abuse or neglect" (OR: 2.79, 95% CI: 2.11-3.68). Conclusion Findings suggest that adverse childhood experiences are associated with depression among people with multiple sclerosis. Screening for depression should be done regularly, especially among people with multiple sclerosis with a history of adverse childhood experiences.
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Affiliation(s)
| | - Mary K Horton
- Division of Epidemiology, School of Public Health, University of California Berkeley, CA, USA
| | | | | | | | | | | | | | | | - Lisa F Barcellos
- Division of Epidemiology, School of Public Health, University of California Berkeley, CA, USA
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Vegda M, Panda S, Bhatnagar KR. Utility of optical coherence tomography in patients of central immune mediated demyelinating diseases - A prospective study. eNeurologicalSci 2023; 31:100464. [PMID: 37132011 PMCID: PMC10149178 DOI: 10.1016/j.ensci.2023.100464] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Revised: 03/24/2023] [Accepted: 04/14/2023] [Indexed: 05/04/2023] Open
Abstract
Optical coherence tomography (OCT) is a non-invasive tool to measure thickness of various layers of retina. Recently, retinal nerve fibre layer (RNFL) and ganglion cell and inner plexiform layer (GCIP) thinning has been observed in OCT in patients with multiple sclerosis (MS) and neuromyelitis optica spectrum disorder (NMOSD), This study compared OCT profile, along with visual acuity (VA), color vision (CV), contrast saturation (CS) and visual evoked potentials (VEP) in two main cohorts of MS and NMOSD and with controls, during acute episode of optic neuritis (ON), at 3 and 6 months. We found that changes of ON were present in 75% of MS eyes and in 45% of NMOSD patients. Of these, subclinical involvement was present in 56.25% of MS eyes and only in 5% of NMOSD eyes suggesting frequent subclinical involvement in the former. Mean RNFL was 95.23 ± 15.53 in MS and 66.14 ± 43.73 in NMOSD after 6 months of ON episode. Thinning of NQ and IQ was observed in NMOSD eyes in the immediate period after ON attack. At 6 months relative sparing of RNFL in TQ was observed in NMOSD ON eyes and MS ON showed predilection for involvement of TQ.
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Affiliation(s)
- Monalisa Vegda
- DM Neurology, All India Institute of Medical Sciences, Jodhpur, India
| | - Samhita Panda
- DM Neurology, Department of Neurology, All India Institute of Medical Sciences, Jodhpur, India
- Corresponding author.
| | - Kavita R. Bhatnagar
- MS Ophthalmology, Department of Ophthalmology, All India Institute Of Medical Sciences, Jodhpur, India
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Florenzo B, Brenton JN. Socioeconomic, Clinical, and Laboratory Parameters Differentiating Pediatric Patients With MOG Antibody-Associated Disease and Multiple Sclerosis. J Child Neurol 2023; 38:178-185. [PMID: 37122175 DOI: 10.1177/08830738231170290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
Studies indicate differences in the clinical phenotypes and neuroimaging of children with myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) compared to multiple sclerosis; however, there are limited data assessing the socioeconomic and paraclinical differences between these distinct disorders. This retrospective study identified patients aged <18 years at time of diagnosis with MOGAD or multiple sclerosis. Demographics, birth history, socioeconomic factors (insurance type, median income, parental education level), and paraclinical features (clinical manifestations, laboratory evaluation) were recorded for eligible participants. Seventy-eight patients (28 MOGAD, 50 multiple sclerosis) met inclusion criteria. Mothers of MOGAD children were more likely to have attended college compared to the mothers of children with multiple sclerosis (80% vs 49%; P = .02). Though MOGAD patients had greater rates of day care attendance (81% vs 57%), lower rates of birth complications (7% vs 21%), and higher rates of being breastfed (65% vs 46%), these findings did not meet predefined statistical significance. Clinically, children with MOGAD exhibited a lower body mass index percentile at presentation (58th ± 27th percentile vs 83rd ± 20th percentile; P = .0001) and were younger (7.6 ± 4.1 vs 14.8 ± 1.6 years; P < .0001) and more likely to exhibit an infectious prodrome (57% vs 10%; P < .0001). MOGAD patients were less likely to have evidence of remote Epstein-Barr virus infection (29% vs 100%; P < .0001) and less likely to have ≥3 unique oligoclonal bands in the cerebrospinal fluid (5% vs 87%; P < .001). Compared with multiple sclerosis, children with MOGAD exhibit lower body mass index percentiles at presentation, are more likely to have mothers with higher education levels, and are less likely to have had prior Epstein-Barr virus infection. Our data confirm that MOGAD patients are younger, more likely to exhibit infectious prodrome, and are less likely to exhibit intrathecal synthesis of oligoclonal bands. These features provide new insights into the differentiating pathobiology of MOGAD and may be helpful in differentiating these children from multiple sclerosis early in the diagnostic evaluation.
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Affiliation(s)
- Brian Florenzo
- University of Virginia School of Medicine, Charlottesville, VA, USA
| | - J Nicholas Brenton
- Department of Neurology, Division of Pediatric Neurology, University of Virginia Medical Center, Charlottesville, VA USA
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Alfredsson L, Hillert J, Olsson T, Hedström AK. Observed associations between indicators of socioeconomic status and risk of multiple sclerosis in Sweden are explained by a few lifestyle-related factors. Eur J Neurol 2023; 30:1001-1013. [PMID: 36692896 DOI: 10.1111/ene.15705] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 11/24/2022] [Accepted: 12/22/2022] [Indexed: 01/25/2023]
Abstract
BACKGROUND AND PURPOSE The association between socioeconomic status (SES) and the risk of multiple sclerosis (MS) is unclear. The aim was to study whether a potential association between indicators of SES and MS risk in Sweden is explained by lifestyle/environmental factors. METHODS Using the Swedish MS registry and the Swedish patient registries, a register study was performed comprising all cases diagnosed with MS in Sweden between 1990 and 2018 (N = 24,729) and five randomly selected controls per case, matched by year and age at disease onset, sex and residential area at disease onset. Data from two matched case-control studies combined comprising data on environment/lifestyle factors (7193 cases, 9609 controls, inclusion period 2005-2018) were also utilized. For all participants, information regarding ancestry, formal education (available 1990-2018) and family income (available 1998-2018) was retrieved from the National Board of Health and Welfare. RESULTS The registry study revealed no association between education and MS risk, whereas an income exceeding the upper quartile was associated with lower MS risk compared to having an income in the lowest quartile (odds ratio 0.86, 95% confidence interval 0.82-0.90). These findings were replicated in the crude analyses of the case-control study. However, after adjustment for confounding, no association was observed between income and risk of MS. CONCLUSIONS Education and income were not associated with occurrence of MS after adjustment for a few lifestyle-related factors (smoking, alcohol consumption, body mass index and sun exposure habits), indicating that SES has no influence on MS risk besides its association with these lifestyle factors in the Swedish context.
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Affiliation(s)
- Lars Alfredsson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Center for Occupational and Environmental Medicine, Stockholm, Sweden
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Jan Hillert
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Tomas Olsson
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Anna Karin Hedström
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
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Dastoorpoor M, Nabavi SM, Majdinasab N, Zare Javid A, Ahmadi Angali K, Seyedtabib M. A case-control study of drinking beverages and the risk of multiple sclerosis in Iran. JOURNAL OF HEALTH, POPULATION, AND NUTRITION 2023; 42:22. [PMID: 36959679 PMCID: PMC10037787 DOI: 10.1186/s41043-023-00364-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Accepted: 03/16/2023] [Indexed: 03/25/2023]
Abstract
BACKGROUND There is no study in the world on the relationship between consuming black and green tea as beverages containing polyphenols and the risk of MS. This study aimed to determine the association between the consumption of green and black tea, coffee, non-alcoholic beer, milk, fruit juices and carbonated beverages with the risk of MS. METHODS AND MATERIALS This case-control study was performed on 150 patients with MS and 300 healthy individuals as a control group among patients who were referred to the ophthalmology ward of a referral hospital in Ahvaz with the groups matching for age. The data collection tool was a researcher-made questionnaire including demographic information and beverage consumption. Analysis was performed using univariate and multiple logistic regression models. RESULTS The mean age of patients at the time of diagnosis was 38.55 ± 8.88 years. The results showed that drinking milk (OR = 5.46), natural juice (OR = 2.49), and carbonated beverages (OR = 16.17) were associated with an increased chance of developing MS. However, drinking non-alcoholic beer (OR = 0.48), black tea (OR = 0.20), green tea (OR = 0.29) and coffee (OR = 0.07) were associated with a reduced chance of developing MS. CONCLUSION The results show that drinking black and green tea, non-alcoholic beer, and coffee are associated with a decrease in the chance of developing MS. The results of this study can be used to design interventional research and to change people's lifestyles to prevent MS.
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Affiliation(s)
- Maryam Dastoorpoor
- Department of Biostatistics and Epidemiology, Musculoskeletal Rehabilitation Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Seyed Massood Nabavi
- Department of Regenerative Biomedicine, Royan Institute for Stem Cell Biology and Technology, ACCR, Tehran, Iran
- Department of Brain and Cognition, Royan Institute for Stem Cell Biology and Technology, ACCR, Tehran, Iran
| | - Nastaran Majdinasab
- Department of Neurology, Musculoskeletal Rehabilitation Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Ahmad Zare Javid
- Department of Nutritional Sciences, School of Allied Medical Sciences, Nutrition, and Metabolic Disease Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Kambiz Ahmadi Angali
- Department of Biostatistics and Epidemiology, School of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Maryam Seyedtabib
- Department of Biostatistics and Epidemiology, School of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
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Boorgu DSSK, Venkatesh S, Lakhani CM, Walker E, Aguerre IM, Riley C, Patel CJ, De Jager PL, Xia Z. The impact of socioeconomic status on subsequent neurological outcomes in multiple sclerosis. Mult Scler Relat Disord 2022; 65:103994. [DOI: 10.1016/j.msard.2022.103994] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 06/04/2022] [Accepted: 06/23/2022] [Indexed: 11/30/2022]
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Eid K, Torkildsen Ø, Aarseth J, Aalstad M, Bhan A, Celius EG, Cortese M, Daltveit AK, Holmøy T, Myhr KM, Riise T, Schüler S, Torkildsen CF, Wergeland S, Gilhus NE, Bjørk MH. Association of adverse childhood experiences with the development of multiple sclerosis. J Neurol Neurosurg Psychiatry 2022; 93:645-650. [PMID: 35379699 PMCID: PMC9148981 DOI: 10.1136/jnnp-2021-328700] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Accepted: 02/22/2022] [Indexed: 11/18/2022]
Abstract
OBJECTIVE To study whether exposure to childhood emotional, sexual or physical abuse is associated with subsequent multiple sclerosis (MS) development. METHODS A nationwide, prospective cohort study based on participants in the Norwegian Mother, Father and Child cohort study. Enrolment took place 1999-2008, with follow-up until 31 December 2018. Childhood abuse before age 18 years was obtained from self-completed questionnaires. We identified MS diagnoses through data-linkage with national health registries and hospital records. The Cox model was used to estimate HRs for MS with 95% CIs, adjusting for confounders and mediators. RESULTS In this prospective cohort study, 14 477 women were exposed to childhood abuse and 63 520 were unexposed. 300 women developed MS during the follow-up period. 71 of these (24%) reported a history of childhood abuse, compared with 14 406 of 77 697 (19%) women that did not develop MS. Sexual abuse (HR 1.65, 95% CI 1.13 to 2.39) and emotional abuse (HR 1.40, 95% CI 1.03 to 1.90) in childhood were both associated with an increased risk of developing MS. The HR of MS after exposure to physical abuse was 1.31 (95% CI 0.83 to 2.06). The risk of MS was further increased if exposed to two (HR 1.66, 95% CI 1.04 to 2.67) or all three abuse categories (HR 1.93, 95% CI 1.02 to 3.67). INTERPRETATION Childhood sexual and emotional abuse were associated with an increased risk of developing MS. The risk was higher when exposed to several abuse categories, indicating a dose-response relationship. Further studies are needed to identify underlying mechanisms.
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Affiliation(s)
- Karine Eid
- Department of Neurology, Haukeland University Hospital, Bergen, Norway
- Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Øivind Torkildsen
- Neuro-SysMed, Department of Neurology, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Jan Aarseth
- Neuro-SysMed, Department of Neurology, Haukeland University Hospital, Bergen, Norway
- The Norwegian Multiple Sclerosis and Biobank, Haukeland University Hospital, Bergen, Norway
| | - Mari Aalstad
- Department of Neurology, Innlandet Hospital Trust, Lillehammer, Norway
| | - Alok Bhan
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Department of Neurology, Stavanger University Hospital, Stavanger, Norway
| | - Elisabeth G Celius
- Department of Neurology, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Marianna Cortese
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Anne Kjersti Daltveit
- Department of Health Registry Research and Development, Norwegian Institute of Public Health, Bergen, Norway
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Trygve Holmøy
- Department of Neurology, Akershus University Hospital, Lorenskog, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Kjell-Morten Myhr
- Neuro-SysMed, Department of Neurology, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Trond Riise
- Neuro-SysMed, Department of Neurology, Haukeland University Hospital, Bergen, Norway
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Stephan Schüler
- Department of Neurology, Nord-Trøndelag Hospital Trust, Namsos, Norway
| | - Cecilie F Torkildsen
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Department of Obstetrics and Gynecology, Stavanger University Hospital, Stavanger, Norway
| | - Stig Wergeland
- Neuro-SysMed, Department of Neurology, Haukeland University Hospital, Bergen, Norway
- The Norwegian Multiple Sclerosis and Biobank, Haukeland University Hospital, Bergen, Norway
| | - Nils Erik Gilhus
- Department of Neurology, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Marte-Helene Bjørk
- Department of Neurology, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
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Horton MK, McCurdy S, Shao X, Bellesis K, Chinn T, Schaefer C, Barcellos LF. Case-control study of adverse childhood experiences and multiple sclerosis risk and clinical outcomes. PLoS One 2022; 17:e0262093. [PMID: 35025951 PMCID: PMC8757911 DOI: 10.1371/journal.pone.0262093] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Accepted: 12/16/2021] [Indexed: 12/19/2022] Open
Abstract
Background Adverse childhood experiences (ACEs) are linked to numerous health conditions but understudied in multiple sclerosis (MS). This study’s objective was to test for the association between ACEs and MS risk and several clinical outcomes. Methods We used a sample of adult, non-Hispanic MS cases (n = 1422) and controls (n = 1185) from Northern California. Eighteen ACEs were assessed including parent divorce, parent death, and abuse. Outcomes included MS risk, age of MS onset, Multiple Sclerosis Severity Scale score, and use of a walking aid. Logistic and linear regression estimated odds ratios (ORs) (and beta coefficients) and 95% confidence intervals (CIs) for ACEs operationalized as any/none, counts, individual events, and latent factors/patterns. Results Overall, more MS cases experienced ≥1 ACE compared to controls (54.5% and 53.8%, respectively). After adjusting for sex, birthyear, and race, this small difference was attenuated (OR = 1.01, 95% CI: 0.87, 1.18). There were no trends of increasing or decreasing odds of MS across ACE count categories. Consistent associations between individual ACEs between ages 0–10 and 11–20 years and MS risk were not detected. Factor analysis identified five latent ACE factors, but their associations with MS risk were approximately null. Age of MS onset and other clinical outcomes were not associated with ACEs after multiple testing correction. Conclusion Despite rich data and multiple approaches to operationalizing ACEs, no consistent and statistically significant effects were observed between ACEs with MS. This highlights the challenges of studying sensitive, retrospective events among adults that occurred decades before data collection.
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Affiliation(s)
- Mary K. Horton
- Division of Epidemiology and Biostatistics, Genetic Epidemiology and Genomics Laboratory, School of Public Health, University of California, Berkeley, CA, United States of America
- Computational Biology Graduate Group, University of California, Berkeley, California, United States of America
- * E-mail:
| | - Shannon McCurdy
- California Institute for Quantitative Biosciences, University of California Berkeley, Berkeley, CA, United States of America
| | - Xiaorong Shao
- Division of Epidemiology and Biostatistics, Genetic Epidemiology and Genomics Laboratory, School of Public Health, University of California, Berkeley, CA, United States of America
| | - Kalliope Bellesis
- Kaiser Permanente Division of Research, Oakland, CA, United States of America
| | - Terrence Chinn
- Kaiser Permanente Division of Research, Oakland, CA, United States of America
| | - Catherine Schaefer
- Kaiser Permanente Division of Research, Oakland, CA, United States of America
| | - Lisa F. Barcellos
- Division of Epidemiology and Biostatistics, Genetic Epidemiology and Genomics Laboratory, School of Public Health, University of California, Berkeley, CA, United States of America
- Computational Biology Graduate Group, University of California, Berkeley, California, United States of America
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12
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Forouhari A, Taheri G, Salari M, Moosazadeh M, Etemadifar M. Multiple sclerosis epidemiology in Asia and Oceania; A systematic review and meta-analysis. Mult Scler Relat Disord 2021; 54:103119. [PMID: 34247103 DOI: 10.1016/j.msard.2021.103119] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 06/23/2021] [Accepted: 06/25/2021] [Indexed: 01/02/2023]
Abstract
BACKGROUND Multiple sclerosis (MS) is an inflammatory demyelinating CNS disease and the most common neurological immune-mediated disorder. Due to its progressive format, it affects patients' quality of life (QoL) significantly. This study aimed to evaluate epidemiologic parameters of MS in the Asia and Oceania continents. METHODS A comprehensive literature search on October 1st, 2020, was performed in PubMed, Scopus, and Web of Science to retrieve original population-based studies on MS epidemiology in the Asian and Oceanian countries, published between January 1st, 1985 and October 1st, 2020. The designed search strategy was repeated for each country, and the relevant referenced articles were added to our database. A random-effect model was used to combine the epidemiological estimates, and subgroup analysis was also performed by continent, region, and country, when possible. Meta-regression analysis was done to evaluate the effects of Human Developmental Index (HDI), latitude, and study period on the epidemiologic parameters. RESULTS A total of 3,109 publications were found, of which 89 articles met the eligibility criteria and were included for data extraction. These articles provided data on prevalence, incidence, and mean age at disease onset in 18 countries in Asia and Oceania, including Iran, Turkey, Cyprus, Kuwait, Saudi Arabia, Qatar, UAE, Jordan, Israel, India, Malaysia, China, Hong Kong, Taiwan, Republic of Korea, Japan, Australia, and New Zealand. The pooled total prevalence, incidence, and mean age of onset in Asia and Oceania were 37.89/100000 (95% CI: 35.65 - 40.142), 2.40/100000 (95% CI: 2.22 - 2.58), and 28.21 (95% CI: 27.55 - 28.88), respectively. MS prevalence and incidence in the female gender (68.7/100000 and 4.42/100000, respectively) were infinitely higher than in the male gender (24.52/100000 and 2.06/100000, respectively). Our subgroup analysis showed that MS was much more prevalent in Australia and West Asia among the studied area. The meta-regression showed that the total incidence decreased with an increase in the HDI, and the total prevalence in Asia increased with increasing latitude gradients. Also, the study period had a positive effect on the total prevalence and incidence in Asia and Oceania. CONCLUSION MS prevalence and incidence have increased in recent decades. This study highlights the need for further studies to elucidate MS's geographical and temporal variations' exact etiologies.
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Affiliation(s)
- Ali Forouhari
- Alzahra research center, Isfahan University of Medical Sciences, Isfahan, Iran.
| | - Ghazale Taheri
- Alzahra research center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mehri Salari
- Functional Neurosurgery Research Center, Shohada Tajrish Comprehensive Neurosurgical Center of Excellence, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mahmood Moosazadeh
- Gastrointestinal Cancer Research Center, Non-communicable Diseases Institute, Mazandaran University of Medical Sciences, Sari, Iran
| | - Masoud Etemadifar
- Department of Neurology Medical School, Alzahra research center, Isfahan University of Medical Science, Isfahan, Iran
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13
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Barzegar M, Najdaghi S, Afshari-Safavi A, Nehzat N, Mirmosayyeb O, Shaygannejad V. Early predictors of conversion to secondary progressive multiple sclerosis. Mult Scler Relat Disord 2021; 54:103115. [PMID: 34216997 DOI: 10.1016/j.msard.2021.103115] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 06/10/2021] [Accepted: 06/22/2021] [Indexed: 11/17/2022]
Abstract
BACKGROUND We conducted this study to estimated the time of conversion from relapsing-remitting MS (RRMS) to SPMS and its early predictor factors. METHODS In this retrospective study, demographic, clinical, and imaging data from MS patients at diagnosis were extracted. Cox proportional hazards model was used to assess the association between various baseline characteristics and conversion to SPMS. We also assessed the association brtween escalation and early intensive therapy approaches with transition to progressive phase. RESULTS Out of 1903 patients with RRMS at baseline, 293 (15.4%) patients progressed to SPMS during follow-up. The estimated number of patients converted to SPMS was 10% at 10-years, 50% at 20-years, and 93% at 30-years. On multivariate Cox regression analysis older age at onset (HR: 1.067, 95%CI: 1.048-1.085, p < 0.001), smoking (HR: 2.120, 95%CI: 1.203-3.736, p = 0.009), higher EDSS at onset (HR: 1.199, 95%CI: 1.109-1.295, p < 0.001), motor dysfunction (HR: 2.470, 95%CI: 1.605-3.800, p < 0.001), cerebellar dysfunction (HR: 3.096, 95%CI: 1.840-5.211, p < 0.001), and presence of lesions in spinal cord (HR: 0.573, 95%CI: 0.297-0.989, p = 0.042) increased the risk of conversion from RRMS to SPMS. No significant difference between escalation and EIT groups in the risk of transition to progressive phase (weighted HR = 1.438; 95% CI: 0.963, 2.147; p = 0.076) was found. CONCLUSION Our data support previous observations that smoking is a modifiable risk factor for secondary progressive MS and confirms that spinal cord involvement, age, and more severe disease at onset are prognostic factors for converting to secondary progressive MS.
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Affiliation(s)
- Mahdi Barzegar
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran; Department of neurology, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Soroush Najdaghi
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran; Department of neurology, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Alireza Afshari-Safavi
- Department of neurology, Isfahan University of Medical Sciences, Isfahan, Iran; Department of Biostatistics and Epidemiology, Faculty of Health, North Khorasan University of Medical Sciences, Bojnurd, Iran
| | - Nasim Nehzat
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran; Universal Council of Epidemiology (UCE), Universal Scientific Education and Research Network (USERN), Tehran University of Medical Sciences, Tehran, Iran
| | - Omid Mirmosayyeb
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran; Department of neurology, Isfahan University of Medical Sciences, Isfahan, Iran; Universal Council of Epidemiology (UCE), Universal Scientific Education and Research Network (USERN), Tehran University of Medical Sciences, Tehran, Iran
| | - Vahid Shaygannejad
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran; Department of neurology, Isfahan University of Medical Sciences, Isfahan, Iran.
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14
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Gómez-Figueroa E, de Saráchaga AJ, García-Estrada C, Casallas-Vanegas A, Delgado-García G, Garcia-Martinez P, Zabala-Angeles I, Marcin-Sierra M, Moreno-Torres P, Corona-Vázquez T, Rivas-Alonso V, Flores-Rivera J. Socioeconomic status and access to multiple sclerosis treatment in Mexico. Mult Scler Relat Disord 2021; 52:102967. [PMID: 33934010 DOI: 10.1016/j.msard.2021.102967] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Revised: 04/09/2021] [Accepted: 04/11/2021] [Indexed: 12/24/2022]
Abstract
INTRODUCTION Multiple sclerosis (MS) is a chronic neurological autoimmune condition and the leading non-traumatic cause of neurological disability worldwide. Disease-modifying therapies (DMT) directly impact on the long-term prognosis of patients with MS preventing relapses and the associated disability progression. Here, we analyzed the impact of socioeconomic status (SES) on DMT access in Mexican patients. METHODS We evaluated the association between SES and DMT access using the MS registry from the National Institute of Neurology and Neurosurgery in Mexico City. We included 974 patients with MS (McDonald 2010 criteria). We categorized SES according to the 2018 Mexican Association of Market Research Agencies (AMAI) SES classification. We analyzed DMT type, MS phenotype, educational level, symptomatic onset to diagnosis, EDSS at arrival, as well as the progression index. Chi-squared and Wilcoxon tests were used, and multivariable analysis performed for DMT access. RESULTS When comparing the lower versus higher levels of SES, a significant association was found on the percentage of patients with higher levels of disability (EDSS >6) at arrival, the proportion of patients not receiving any DMT and a higher proportion of secondary progressive MS (p=0.006, p<0.001and p=0.004, respectively). We also found that lower educational levels had a significance and inverse association with EDSS on first visit (p=0.019), symptomatic onset to diagnosis (p<0.001) and a higher disability status at arrival (EDSS >6, p=0.010). CONCLUSIONS Our study suggests that SES is an important factor determining not only prompt but overall access to highly effective DMT. Lower SES are associated with greater levels of disability at the first clinic visit and a higher proportion of patients not receiving DMT up to 12 months of follow-up.
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Affiliation(s)
- Enrique Gómez-Figueroa
- Multiple Sclerosis and Demyelinating Disorders Clinic, National Institute of Neurology and Neurosurgery, Mexico City, Mexico.
| | - Adib Jorge de Saráchaga
- Multiple Sclerosis and Demyelinating Disorders Clinic, National Institute of Neurology and Neurosurgery, Mexico City, Mexico
| | | | | | - Guillermo Delgado-García
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, AB, Canada
| | - Paola Garcia-Martinez
- Multiple Sclerosis and Demyelinating Disorders Clinic, National Institute of Neurology and Neurosurgery, Mexico City, Mexico
| | - Indhira Zabala-Angeles
- Multiple Sclerosis and Demyelinating Disorders Clinic, National Institute of Neurology and Neurosurgery, Mexico City, Mexico
| | - Mariana Marcin-Sierra
- Multiple Sclerosis and Demyelinating Disorders Clinic, National Institute of Neurology and Neurosurgery, Mexico City, Mexico
| | - Patricia Moreno-Torres
- Multiple Sclerosis and Demyelinating Disorders Clinic, National Institute of Neurology and Neurosurgery, Mexico City, Mexico
| | - Teresa Corona-Vázquez
- Multiple Sclerosis and Demyelinating Disorders Clinic, National Institute of Neurology and Neurosurgery, Mexico City, Mexico
| | - Verónica Rivas-Alonso
- Multiple Sclerosis and Demyelinating Disorders Clinic, National Institute of Neurology and Neurosurgery, Mexico City, Mexico
| | - José Flores-Rivera
- Multiple Sclerosis and Demyelinating Disorders Clinic, National Institute of Neurology and Neurosurgery, Mexico City, Mexico.
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15
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Alsharie AM, Rafiee F, Rezaeimanesh N, Moghadasi AN, Sahraian MA, Eskandarieh S. Stressful life events and the risk of primary progressive multiple sclerosis: A population-based case-control study. Mult Scler Relat Disord 2021; 51:102937. [PMID: 33857898 DOI: 10.1016/j.msard.2021.102937] [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: 02/21/2021] [Revised: 03/17/2021] [Accepted: 04/01/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND The onset and presentation of primary progressive multiple sclerosis (PPMS) like any other autoimmune diseases can be triggered by unexpected lifetime stressful events, which require to be assessed in order to minimize our exposure to such events as much as possible. OBJECTIVE The aim of the present study was to determine the possible role of socioeconomic status (SES) and stressful events in PPMS development METHODS: The present population-based case-control study recruited PPMS cases and healthy controls from the general population during 2019-2020 in Tehran, Iran. Clinical diagnosis of cases was based on the 2017 McDonald criteria and confirmed by a neurologist. The selection of sex-matched controls from the same source population of cases was performed using the standard method of Random Digit Dialing (RDD). The study questionnaire was filled out over telephone interviews. Matched logistic regression was administered to estimate the adjusted and unadjusted odds ratio (OR) at 95% confidence intervals (CIs) adjusted for sex, age, and marital status using SPSS 23. RESULTS This study examined 146 PPMS cases and 294 controls. Mean ages (SD) for cases and controls were 46.97 (9.4) and 37.67 (6.12), respectively (P < 0.001). No stressful events over five years prior to the disease onset were associated with an increased risk of PPMS. Marriage (OR: 0.04; 95% CI (0.01- 0.37), P = 0.004), close family members' serious disease (OR: 0.10; 95% CI (0.02-0.60), P = 0.01), and being in debt (OR: 0.03; 95% CI (0-0.37), P = 0.006) were found to have a negative association with the risk of disease occurrence. Death of a loved one, family disruption, jail term, homelessness period, Conquer(national university entrance exam), death of spouse, getting fired from a job, joblessness, divorce, migration, close family members' suicide, and retirement were not associated with the risk of PPMS (P > 0.05). History of depression before the PPMS presentation was considerably associated with the incidence of PPMS (P < 0.001). Self-rated health status was scored noticeably lower by cases as compared with controls (P < 0.001). Participants with the paternal educational degree of guidance school showed a higher risk of PPMS by 2.83 time (OR: 2.83; 95% CI (1.02 - 7.80), P = 0.04) than participants with university educated fathers. In total, SES during adolescence did not indicate any association with the risk of PPMS (with the exception of levels 2 (P = 0.02) and 7 (P = 0.05)). CONCLUSION No stressful life events were identified as possible increasing risk factors for PPMS. Marriage, close family members' serious disease, and being in debt had a negative association with the disease risk. The history of depression may elevate the risk of PPMS. While the highest and lowest SES levels in adolescence were not remarkable determiners for PPMS, levels 2 and 7 had a positive association with the risk of PPMS. The maternal educational level was not an important factor; however, the paternal educational degree of guidance school as compared to university degree made individuals more susceptible to PPMS. Self-rated health status score was higher in controls.
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Affiliation(s)
| | - Farnaz Rafiee
- Multiple Sclerosis Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Nasim Rezaeimanesh
- Multiple Sclerosis Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Abdorreza Naser Moghadasi
- Multiple Sclerosis Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Ali Sahraian
- Multiple Sclerosis Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Sharareh Eskandarieh
- Multiple Sclerosis Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran.
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16
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Moghaddam VK, Dickerson AS, Bazrafshan E, Seyedhasani SN, Najafi F, Hadei M, Momeni J, Moradi G, Sarmadi M. Socioeconomic determinants of global distribution of multiple sclerosis: an ecological investigation based on Global Burden of Disease data. BMC Neurol 2021; 21:145. [PMID: 33794796 PMCID: PMC8015140 DOI: 10.1186/s12883-021-02170-3] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Accepted: 03/24/2021] [Indexed: 02/28/2023] Open
Abstract
BACKGROUND Socioeconomic factors may be involved in risk of multiple sclerosis (MS), either indirectly or as confounding factors. In this study two comprehensive indicators reflecting socioeconomic differences, including the Human Development Index (HDI) and Prosperity Index (PI), were used to assess the impact of these factors on the worldwide distribution of MS. METHODS The data for this global ecological study were obtained from three comprehensive databases including the Global Burden of Disease (as the source of MS indices), United Nations Development Programme (source for HDI) and the Legatum Institute Database for PI. MS indices (including prevalence, incidence, mortality, and disability-adjusted life years) were all analyzed in the form of age- and sex-standardized. Correlation and regression analyses were used to investigate the relationship between HDI and PI and their subsets with MS indices. RESULTS All MS indices were correlated with HDI and PI. It was also found that developed countries had significantly higher prevalence and incidence rates of MS than developing countries. Education and governance from the PI, and gross national income and expected years of schooling from the HDI were more associated with MS. Education was significantly related to MS indices (p < 0.01) in both developed and developing countries. CONCLUSION In general, the difference in income and the socioeconomic development globally have created a landscape for MS that should be studied in more detail in future studies.
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Affiliation(s)
- Vahid Kazemi Moghaddam
- Department of Environmental Health Engineering, Neyshabur University of Medical Sciences, Neyshabur, Iran
| | - Aisha S Dickerson
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Edris Bazrafshan
- Department of Environmental Health Engineering, School of Health, Torbat Heydariyeh University of Medical Sciences, Torbat Heydariyeh, Iran.,Health Sciences Research Center, Torbat Heydariyeh University of Medical Sciences, Torbat Heydariyeh, Iran
| | - Seyedeh Nahid Seyedhasani
- Health Sciences Research Center, Torbat Heydariyeh University of Medical Sciences, Torbat Heydariyeh, Iran.,Department of Health Information Technology, School of Paramedical Sciences, Torbat Heydariyeh University of Medical Sciences, Torbat Heydariyeh, Iran
| | - Fereshteh Najafi
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Mostafa Hadei
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Science, Tehran, Iran
| | - Jalil Momeni
- Student Research Committee, Torbat Heydariyeh University of Medical Sciences, Torbat Heydariyeh, Iran
| | - Ghasem Moradi
- Student Research Committee, Torbat Heydariyeh University of Medical Sciences, Torbat Heydariyeh, Iran
| | - Mohammad Sarmadi
- Department of Environmental Health Engineering, School of Health, Torbat Heydariyeh University of Medical Sciences, Torbat Heydariyeh, Iran. .,Health Sciences Research Center, Torbat Heydariyeh University of Medical Sciences, Torbat Heydariyeh, Iran. .,Neuroscience Research Center, Torbat Heydariyeh University of Medical Sciences, Torbat Heydariyeh, Iran.
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17
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Briggs FBS, Hill E, Abboud H. The prevalence of hypertension in multiple sclerosis based on 37 million electronic health records from the United States. Eur J Neurol 2020; 28:558-566. [PMID: 32981133 DOI: 10.1111/ene.14557] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Accepted: 09/17/2020] [Indexed: 12/12/2022]
Abstract
BACKGROUND AND PURPOSE Hypertension (HTN) is a common comorbidity in multiple sclerosis (MS), and it significantly contributes to adverse outcomes. Unfortunately, the distribution of HTN in persons with MS has not been well characterized, and prior estimates have primarily relied on modest sample sizes. The objective of this study was to robustly describe the distribution of HTN in the MS population in comparison to the non-MS population with considerations for age, sex, and race. To date, this is the largest investigation of its kind. METHODS We conducted a cross-sectional study of 37 million unique electronic health records available in the IBM Explorys Enterprise Performance Management: Explore database (Explorys) spanning the United States. This resource has previously been validated for use in MS. We evaluated the prevalence of HTN in MS (N = 122 660) and non-MS (N = 37 075 350) cohorts, stratifying by age, sex, and race. RESULTS The prevalence of HTN was significantly greater among those with MS than among those without MS across age, sex, and race subpopulations, even after adjusting for age and sex. HTN was 25% more common in MS. In both MS and non-MS cohorts, the prevalence of HTN progressively increased with age and was higher in Black Americans and in males. DISCUSSION This study demonstrated that HTN is significantly more common in the MS population compared to the non-MS population, irrespective of sex and race. Because HTN is the leading global risk factor for disability and death, these results emphasize the need for aggressive screening for, and management of, HTN in the MS population.
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Affiliation(s)
- F B S Briggs
- Neuroimmunological Disorders Gene-Environment Epidemiology Laboratory, Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | - E Hill
- Neuroimmunological Disorders Gene-Environment Epidemiology Laboratory, Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA.,School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | - H Abboud
- School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA.,Multiple Sclerosis and Neuroimmunology Program, University Hospitals of Cleveland, Cleveland, Ohio, USA
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18
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Adams CJ, Wu SL, Shao X, Bradshaw PT, Gonzales E, Smith JB, Xiang AH, Bellesis KH, Chinn T, Bos SD, Wendel-Haga M, Olsson T, Kockum I, Langer-Gould AM, Schaefer C, Alfredsson L, Barcellos LF. Pregnancy does not modify the risk of MS in genetically susceptible women. NEUROLOGY-NEUROIMMUNOLOGY & NEUROINFLAMMATION 2020; 7:7/6/e898. [PMID: 33037103 PMCID: PMC7673284 DOI: 10.1212/nxi.0000000000000898] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Accepted: 08/25/2020] [Indexed: 11/16/2022]
Abstract
Objective To use the case-only gene-environment (G E) interaction study design to estimate interaction between pregnancy before onset of MS symptoms and established genetic risk factors for MS among White adult females. Methods We studied 2,497 female MS cases from 4 cohorts in the United States, Sweden, and Norway with clinical, reproductive, and genetic data. Pregnancy exposure was defined in 2 ways: (1) live birth pregnancy before onset of MS symptoms and (2) parity before onset of MS symptoms. We estimated interaction between pregnancy exposure and established genetic risk variants, including a weighted genetic risk score and both HLA and non-HLA variants, using logistic regression and proportional odds regression within each cohort. Within-cohort associations were combined using inverse variance meta-analyses with random effects. The case-only G × E independence assumption was tested in 7,067 individuals without MS. Results Evidence for interaction between pregnancy exposure and established genetic risk variants, including the strongly associated HLA-DRB1*15:01 allele and a weighted genetic risk score, was not observed. Results from sensitivity analyses were consistent with observed results. Conclusion Our findings indicate that pregnancy before symptom onset does not modify the risk of MS in genetically susceptible White females.
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Affiliation(s)
- Cameron J Adams
- From the Divisions of Epidemiology and Biostatistics (C.J.A., S.L.W.), School of Public Health, University of California, Berkeley, Berkeley, CA; Genetic Epidemiology and Genomics Laboratory (X.S., L.F.B.), University of California, Berkeley, Berkeley, CA; School of Public Health (P.T.B.), University of California, Berkeley, Berkeley, CA, USA; Department of Research & Evaluation (E.G., J.B.S., A.H.X.), Kaiser Permanente Southern California, Los Angeles, CA; Kaiser Permanente Division of Research (K.H.B., T.C., C.S.), Kaiser Permanente Northern California, Oakland, CA; University of Oslo (S.D.B.), Institute of Clinical Medicine & Oslo University Hospital, Department of Neurology, Oslo, Norway; Oslo University Hospital (M.W.-H.), Department of Neurology, Oslo, Norway; Department of Clinical Neuroscience (T.O.), Karolinska Instituet, Stockholm, Sweden; Department of Clinical Neuroscience (I.K.), Karolinska Institutet, Stockholm, Sweden; Southern California Permanente Medical Group/Kaiser Permanente (A.M.L.-G.), Department of Neurology, Los Angeles, CA; and Institute of Environmental Medicine (L.A.), Karolinska Institutet and Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden.
| | - Sean L Wu
- From the Divisions of Epidemiology and Biostatistics (C.J.A., S.L.W.), School of Public Health, University of California, Berkeley, Berkeley, CA; Genetic Epidemiology and Genomics Laboratory (X.S., L.F.B.), University of California, Berkeley, Berkeley, CA; School of Public Health (P.T.B.), University of California, Berkeley, Berkeley, CA, USA; Department of Research & Evaluation (E.G., J.B.S., A.H.X.), Kaiser Permanente Southern California, Los Angeles, CA; Kaiser Permanente Division of Research (K.H.B., T.C., C.S.), Kaiser Permanente Northern California, Oakland, CA; University of Oslo (S.D.B.), Institute of Clinical Medicine & Oslo University Hospital, Department of Neurology, Oslo, Norway; Oslo University Hospital (M.W.-H.), Department of Neurology, Oslo, Norway; Department of Clinical Neuroscience (T.O.), Karolinska Instituet, Stockholm, Sweden; Department of Clinical Neuroscience (I.K.), Karolinska Institutet, Stockholm, Sweden; Southern California Permanente Medical Group/Kaiser Permanente (A.M.L.-G.), Department of Neurology, Los Angeles, CA; and Institute of Environmental Medicine (L.A.), Karolinska Institutet and Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Xiaorong Shao
- From the Divisions of Epidemiology and Biostatistics (C.J.A., S.L.W.), School of Public Health, University of California, Berkeley, Berkeley, CA; Genetic Epidemiology and Genomics Laboratory (X.S., L.F.B.), University of California, Berkeley, Berkeley, CA; School of Public Health (P.T.B.), University of California, Berkeley, Berkeley, CA, USA; Department of Research & Evaluation (E.G., J.B.S., A.H.X.), Kaiser Permanente Southern California, Los Angeles, CA; Kaiser Permanente Division of Research (K.H.B., T.C., C.S.), Kaiser Permanente Northern California, Oakland, CA; University of Oslo (S.D.B.), Institute of Clinical Medicine & Oslo University Hospital, Department of Neurology, Oslo, Norway; Oslo University Hospital (M.W.-H.), Department of Neurology, Oslo, Norway; Department of Clinical Neuroscience (T.O.), Karolinska Instituet, Stockholm, Sweden; Department of Clinical Neuroscience (I.K.), Karolinska Institutet, Stockholm, Sweden; Southern California Permanente Medical Group/Kaiser Permanente (A.M.L.-G.), Department of Neurology, Los Angeles, CA; and Institute of Environmental Medicine (L.A.), Karolinska Institutet and Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Patrick T Bradshaw
- From the Divisions of Epidemiology and Biostatistics (C.J.A., S.L.W.), School of Public Health, University of California, Berkeley, Berkeley, CA; Genetic Epidemiology and Genomics Laboratory (X.S., L.F.B.), University of California, Berkeley, Berkeley, CA; School of Public Health (P.T.B.), University of California, Berkeley, Berkeley, CA, USA; Department of Research & Evaluation (E.G., J.B.S., A.H.X.), Kaiser Permanente Southern California, Los Angeles, CA; Kaiser Permanente Division of Research (K.H.B., T.C., C.S.), Kaiser Permanente Northern California, Oakland, CA; University of Oslo (S.D.B.), Institute of Clinical Medicine & Oslo University Hospital, Department of Neurology, Oslo, Norway; Oslo University Hospital (M.W.-H.), Department of Neurology, Oslo, Norway; Department of Clinical Neuroscience (T.O.), Karolinska Instituet, Stockholm, Sweden; Department of Clinical Neuroscience (I.K.), Karolinska Institutet, Stockholm, Sweden; Southern California Permanente Medical Group/Kaiser Permanente (A.M.L.-G.), Department of Neurology, Los Angeles, CA; and Institute of Environmental Medicine (L.A.), Karolinska Institutet and Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Edlin Gonzales
- From the Divisions of Epidemiology and Biostatistics (C.J.A., S.L.W.), School of Public Health, University of California, Berkeley, Berkeley, CA; Genetic Epidemiology and Genomics Laboratory (X.S., L.F.B.), University of California, Berkeley, Berkeley, CA; School of Public Health (P.T.B.), University of California, Berkeley, Berkeley, CA, USA; Department of Research & Evaluation (E.G., J.B.S., A.H.X.), Kaiser Permanente Southern California, Los Angeles, CA; Kaiser Permanente Division of Research (K.H.B., T.C., C.S.), Kaiser Permanente Northern California, Oakland, CA; University of Oslo (S.D.B.), Institute of Clinical Medicine & Oslo University Hospital, Department of Neurology, Oslo, Norway; Oslo University Hospital (M.W.-H.), Department of Neurology, Oslo, Norway; Department of Clinical Neuroscience (T.O.), Karolinska Instituet, Stockholm, Sweden; Department of Clinical Neuroscience (I.K.), Karolinska Institutet, Stockholm, Sweden; Southern California Permanente Medical Group/Kaiser Permanente (A.M.L.-G.), Department of Neurology, Los Angeles, CA; and Institute of Environmental Medicine (L.A.), Karolinska Institutet and Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Jessica B Smith
- From the Divisions of Epidemiology and Biostatistics (C.J.A., S.L.W.), School of Public Health, University of California, Berkeley, Berkeley, CA; Genetic Epidemiology and Genomics Laboratory (X.S., L.F.B.), University of California, Berkeley, Berkeley, CA; School of Public Health (P.T.B.), University of California, Berkeley, Berkeley, CA, USA; Department of Research & Evaluation (E.G., J.B.S., A.H.X.), Kaiser Permanente Southern California, Los Angeles, CA; Kaiser Permanente Division of Research (K.H.B., T.C., C.S.), Kaiser Permanente Northern California, Oakland, CA; University of Oslo (S.D.B.), Institute of Clinical Medicine & Oslo University Hospital, Department of Neurology, Oslo, Norway; Oslo University Hospital (M.W.-H.), Department of Neurology, Oslo, Norway; Department of Clinical Neuroscience (T.O.), Karolinska Instituet, Stockholm, Sweden; Department of Clinical Neuroscience (I.K.), Karolinska Institutet, Stockholm, Sweden; Southern California Permanente Medical Group/Kaiser Permanente (A.M.L.-G.), Department of Neurology, Los Angeles, CA; and Institute of Environmental Medicine (L.A.), Karolinska Institutet and Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Anny H Xiang
- From the Divisions of Epidemiology and Biostatistics (C.J.A., S.L.W.), School of Public Health, University of California, Berkeley, Berkeley, CA; Genetic Epidemiology and Genomics Laboratory (X.S., L.F.B.), University of California, Berkeley, Berkeley, CA; School of Public Health (P.T.B.), University of California, Berkeley, Berkeley, CA, USA; Department of Research & Evaluation (E.G., J.B.S., A.H.X.), Kaiser Permanente Southern California, Los Angeles, CA; Kaiser Permanente Division of Research (K.H.B., T.C., C.S.), Kaiser Permanente Northern California, Oakland, CA; University of Oslo (S.D.B.), Institute of Clinical Medicine & Oslo University Hospital, Department of Neurology, Oslo, Norway; Oslo University Hospital (M.W.-H.), Department of Neurology, Oslo, Norway; Department of Clinical Neuroscience (T.O.), Karolinska Instituet, Stockholm, Sweden; Department of Clinical Neuroscience (I.K.), Karolinska Institutet, Stockholm, Sweden; Southern California Permanente Medical Group/Kaiser Permanente (A.M.L.-G.), Department of Neurology, Los Angeles, CA; and Institute of Environmental Medicine (L.A.), Karolinska Institutet and Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Kalliope H Bellesis
- From the Divisions of Epidemiology and Biostatistics (C.J.A., S.L.W.), School of Public Health, University of California, Berkeley, Berkeley, CA; Genetic Epidemiology and Genomics Laboratory (X.S., L.F.B.), University of California, Berkeley, Berkeley, CA; School of Public Health (P.T.B.), University of California, Berkeley, Berkeley, CA, USA; Department of Research & Evaluation (E.G., J.B.S., A.H.X.), Kaiser Permanente Southern California, Los Angeles, CA; Kaiser Permanente Division of Research (K.H.B., T.C., C.S.), Kaiser Permanente Northern California, Oakland, CA; University of Oslo (S.D.B.), Institute of Clinical Medicine & Oslo University Hospital, Department of Neurology, Oslo, Norway; Oslo University Hospital (M.W.-H.), Department of Neurology, Oslo, Norway; Department of Clinical Neuroscience (T.O.), Karolinska Instituet, Stockholm, Sweden; Department of Clinical Neuroscience (I.K.), Karolinska Institutet, Stockholm, Sweden; Southern California Permanente Medical Group/Kaiser Permanente (A.M.L.-G.), Department of Neurology, Los Angeles, CA; and Institute of Environmental Medicine (L.A.), Karolinska Institutet and Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Terrence Chinn
- From the Divisions of Epidemiology and Biostatistics (C.J.A., S.L.W.), School of Public Health, University of California, Berkeley, Berkeley, CA; Genetic Epidemiology and Genomics Laboratory (X.S., L.F.B.), University of California, Berkeley, Berkeley, CA; School of Public Health (P.T.B.), University of California, Berkeley, Berkeley, CA, USA; Department of Research & Evaluation (E.G., J.B.S., A.H.X.), Kaiser Permanente Southern California, Los Angeles, CA; Kaiser Permanente Division of Research (K.H.B., T.C., C.S.), Kaiser Permanente Northern California, Oakland, CA; University of Oslo (S.D.B.), Institute of Clinical Medicine & Oslo University Hospital, Department of Neurology, Oslo, Norway; Oslo University Hospital (M.W.-H.), Department of Neurology, Oslo, Norway; Department of Clinical Neuroscience (T.O.), Karolinska Instituet, Stockholm, Sweden; Department of Clinical Neuroscience (I.K.), Karolinska Institutet, Stockholm, Sweden; Southern California Permanente Medical Group/Kaiser Permanente (A.M.L.-G.), Department of Neurology, Los Angeles, CA; and Institute of Environmental Medicine (L.A.), Karolinska Institutet and Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Steffan D Bos
- From the Divisions of Epidemiology and Biostatistics (C.J.A., S.L.W.), School of Public Health, University of California, Berkeley, Berkeley, CA; Genetic Epidemiology and Genomics Laboratory (X.S., L.F.B.), University of California, Berkeley, Berkeley, CA; School of Public Health (P.T.B.), University of California, Berkeley, Berkeley, CA, USA; Department of Research & Evaluation (E.G., J.B.S., A.H.X.), Kaiser Permanente Southern California, Los Angeles, CA; Kaiser Permanente Division of Research (K.H.B., T.C., C.S.), Kaiser Permanente Northern California, Oakland, CA; University of Oslo (S.D.B.), Institute of Clinical Medicine & Oslo University Hospital, Department of Neurology, Oslo, Norway; Oslo University Hospital (M.W.-H.), Department of Neurology, Oslo, Norway; Department of Clinical Neuroscience (T.O.), Karolinska Instituet, Stockholm, Sweden; Department of Clinical Neuroscience (I.K.), Karolinska Institutet, Stockholm, Sweden; Southern California Permanente Medical Group/Kaiser Permanente (A.M.L.-G.), Department of Neurology, Los Angeles, CA; and Institute of Environmental Medicine (L.A.), Karolinska Institutet and Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Marte Wendel-Haga
- From the Divisions of Epidemiology and Biostatistics (C.J.A., S.L.W.), School of Public Health, University of California, Berkeley, Berkeley, CA; Genetic Epidemiology and Genomics Laboratory (X.S., L.F.B.), University of California, Berkeley, Berkeley, CA; School of Public Health (P.T.B.), University of California, Berkeley, Berkeley, CA, USA; Department of Research & Evaluation (E.G., J.B.S., A.H.X.), Kaiser Permanente Southern California, Los Angeles, CA; Kaiser Permanente Division of Research (K.H.B., T.C., C.S.), Kaiser Permanente Northern California, Oakland, CA; University of Oslo (S.D.B.), Institute of Clinical Medicine & Oslo University Hospital, Department of Neurology, Oslo, Norway; Oslo University Hospital (M.W.-H.), Department of Neurology, Oslo, Norway; Department of Clinical Neuroscience (T.O.), Karolinska Instituet, Stockholm, Sweden; Department of Clinical Neuroscience (I.K.), Karolinska Institutet, Stockholm, Sweden; Southern California Permanente Medical Group/Kaiser Permanente (A.M.L.-G.), Department of Neurology, Los Angeles, CA; and Institute of Environmental Medicine (L.A.), Karolinska Institutet and Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Tomas Olsson
- From the Divisions of Epidemiology and Biostatistics (C.J.A., S.L.W.), School of Public Health, University of California, Berkeley, Berkeley, CA; Genetic Epidemiology and Genomics Laboratory (X.S., L.F.B.), University of California, Berkeley, Berkeley, CA; School of Public Health (P.T.B.), University of California, Berkeley, Berkeley, CA, USA; Department of Research & Evaluation (E.G., J.B.S., A.H.X.), Kaiser Permanente Southern California, Los Angeles, CA; Kaiser Permanente Division of Research (K.H.B., T.C., C.S.), Kaiser Permanente Northern California, Oakland, CA; University of Oslo (S.D.B.), Institute of Clinical Medicine & Oslo University Hospital, Department of Neurology, Oslo, Norway; Oslo University Hospital (M.W.-H.), Department of Neurology, Oslo, Norway; Department of Clinical Neuroscience (T.O.), Karolinska Instituet, Stockholm, Sweden; Department of Clinical Neuroscience (I.K.), Karolinska Institutet, Stockholm, Sweden; Southern California Permanente Medical Group/Kaiser Permanente (A.M.L.-G.), Department of Neurology, Los Angeles, CA; and Institute of Environmental Medicine (L.A.), Karolinska Institutet and Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Ingrid Kockum
- From the Divisions of Epidemiology and Biostatistics (C.J.A., S.L.W.), School of Public Health, University of California, Berkeley, Berkeley, CA; Genetic Epidemiology and Genomics Laboratory (X.S., L.F.B.), University of California, Berkeley, Berkeley, CA; School of Public Health (P.T.B.), University of California, Berkeley, Berkeley, CA, USA; Department of Research & Evaluation (E.G., J.B.S., A.H.X.), Kaiser Permanente Southern California, Los Angeles, CA; Kaiser Permanente Division of Research (K.H.B., T.C., C.S.), Kaiser Permanente Northern California, Oakland, CA; University of Oslo (S.D.B.), Institute of Clinical Medicine & Oslo University Hospital, Department of Neurology, Oslo, Norway; Oslo University Hospital (M.W.-H.), Department of Neurology, Oslo, Norway; Department of Clinical Neuroscience (T.O.), Karolinska Instituet, Stockholm, Sweden; Department of Clinical Neuroscience (I.K.), Karolinska Institutet, Stockholm, Sweden; Southern California Permanente Medical Group/Kaiser Permanente (A.M.L.-G.), Department of Neurology, Los Angeles, CA; and Institute of Environmental Medicine (L.A.), Karolinska Institutet and Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Annette M Langer-Gould
- From the Divisions of Epidemiology and Biostatistics (C.J.A., S.L.W.), School of Public Health, University of California, Berkeley, Berkeley, CA; Genetic Epidemiology and Genomics Laboratory (X.S., L.F.B.), University of California, Berkeley, Berkeley, CA; School of Public Health (P.T.B.), University of California, Berkeley, Berkeley, CA, USA; Department of Research & Evaluation (E.G., J.B.S., A.H.X.), Kaiser Permanente Southern California, Los Angeles, CA; Kaiser Permanente Division of Research (K.H.B., T.C., C.S.), Kaiser Permanente Northern California, Oakland, CA; University of Oslo (S.D.B.), Institute of Clinical Medicine & Oslo University Hospital, Department of Neurology, Oslo, Norway; Oslo University Hospital (M.W.-H.), Department of Neurology, Oslo, Norway; Department of Clinical Neuroscience (T.O.), Karolinska Instituet, Stockholm, Sweden; Department of Clinical Neuroscience (I.K.), Karolinska Institutet, Stockholm, Sweden; Southern California Permanente Medical Group/Kaiser Permanente (A.M.L.-G.), Department of Neurology, Los Angeles, CA; and Institute of Environmental Medicine (L.A.), Karolinska Institutet and Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Catherine Schaefer
- From the Divisions of Epidemiology and Biostatistics (C.J.A., S.L.W.), School of Public Health, University of California, Berkeley, Berkeley, CA; Genetic Epidemiology and Genomics Laboratory (X.S., L.F.B.), University of California, Berkeley, Berkeley, CA; School of Public Health (P.T.B.), University of California, Berkeley, Berkeley, CA, USA; Department of Research & Evaluation (E.G., J.B.S., A.H.X.), Kaiser Permanente Southern California, Los Angeles, CA; Kaiser Permanente Division of Research (K.H.B., T.C., C.S.), Kaiser Permanente Northern California, Oakland, CA; University of Oslo (S.D.B.), Institute of Clinical Medicine & Oslo University Hospital, Department of Neurology, Oslo, Norway; Oslo University Hospital (M.W.-H.), Department of Neurology, Oslo, Norway; Department of Clinical Neuroscience (T.O.), Karolinska Instituet, Stockholm, Sweden; Department of Clinical Neuroscience (I.K.), Karolinska Institutet, Stockholm, Sweden; Southern California Permanente Medical Group/Kaiser Permanente (A.M.L.-G.), Department of Neurology, Los Angeles, CA; and Institute of Environmental Medicine (L.A.), Karolinska Institutet and Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Lars Alfredsson
- From the Divisions of Epidemiology and Biostatistics (C.J.A., S.L.W.), School of Public Health, University of California, Berkeley, Berkeley, CA; Genetic Epidemiology and Genomics Laboratory (X.S., L.F.B.), University of California, Berkeley, Berkeley, CA; School of Public Health (P.T.B.), University of California, Berkeley, Berkeley, CA, USA; Department of Research & Evaluation (E.G., J.B.S., A.H.X.), Kaiser Permanente Southern California, Los Angeles, CA; Kaiser Permanente Division of Research (K.H.B., T.C., C.S.), Kaiser Permanente Northern California, Oakland, CA; University of Oslo (S.D.B.), Institute of Clinical Medicine & Oslo University Hospital, Department of Neurology, Oslo, Norway; Oslo University Hospital (M.W.-H.), Department of Neurology, Oslo, Norway; Department of Clinical Neuroscience (T.O.), Karolinska Instituet, Stockholm, Sweden; Department of Clinical Neuroscience (I.K.), Karolinska Institutet, Stockholm, Sweden; Southern California Permanente Medical Group/Kaiser Permanente (A.M.L.-G.), Department of Neurology, Los Angeles, CA; and Institute of Environmental Medicine (L.A.), Karolinska Institutet and Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Lisa F Barcellos
- From the Divisions of Epidemiology and Biostatistics (C.J.A., S.L.W.), School of Public Health, University of California, Berkeley, Berkeley, CA; Genetic Epidemiology and Genomics Laboratory (X.S., L.F.B.), University of California, Berkeley, Berkeley, CA; School of Public Health (P.T.B.), University of California, Berkeley, Berkeley, CA, USA; Department of Research & Evaluation (E.G., J.B.S., A.H.X.), Kaiser Permanente Southern California, Los Angeles, CA; Kaiser Permanente Division of Research (K.H.B., T.C., C.S.), Kaiser Permanente Northern California, Oakland, CA; University of Oslo (S.D.B.), Institute of Clinical Medicine & Oslo University Hospital, Department of Neurology, Oslo, Norway; Oslo University Hospital (M.W.-H.), Department of Neurology, Oslo, Norway; Department of Clinical Neuroscience (T.O.), Karolinska Instituet, Stockholm, Sweden; Department of Clinical Neuroscience (I.K.), Karolinska Institutet, Stockholm, Sweden; Southern California Permanente Medical Group/Kaiser Permanente (A.M.L.-G.), Department of Neurology, Los Angeles, CA; and Institute of Environmental Medicine (L.A.), Karolinska Institutet and Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
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Calocer F, Dejardin O, Kwiatkowski A, Bourre B, Vermersch P, Hautecoeur P, Launoy G, Defer G. Socioeconomic deprivation increases the risk of disability in multiple sclerosis patients. Mult Scler Relat Disord 2020; 40:101930. [DOI: 10.1016/j.msard.2020.101930] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Revised: 11/25/2019] [Accepted: 01/02/2020] [Indexed: 11/16/2022]
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Hedström AK, Adams C, Shao X, Schaefer C, Olsson T, Barcellos LF, Alfredsson L. Breastfeeding is associated with reduced risk of multiple sclerosis in males, predominantly among HLA-DRB1*15:01 carriers. Mult Scler J Exp Transl Clin 2020; 6:2055217320928101. [PMID: 32728476 PMCID: PMC7364805 DOI: 10.1177/2055217320928101] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Revised: 04/09/2020] [Accepted: 04/20/2020] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Breastfeeding as an infant appears protective against later development of some autoimmune diseases, but research into its influence on multiple sclerosis (MS) risk has yielded inconclusive results. OBJECTIVE We investigated the possible impact of breastfeeding on MS risk. METHODS We used two population-based case-control studies comprising 3670 cases and 6737 matched controls. Logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (CI) for association between MS and exposure to prolonged breastfeeding (4 months or longer) versus reduced breastfeeding (less than 4 months). A meta-analysis of case-control studies that assessed the impact of breastfeeding on MS risk among women and men was conducted. RESULTS Prolonged breastfeeding was associated with reduced MS risk among men (OR 0.7, 95% CI 0.5-0.9) but not among women (OR 0.9, 95% CI 0.8-1.1). Among men, a synergistic effect was observed between HLA-DRB1*15:01 carrier status and reduced breastfeeding. CONCLUSIONS Findings from the current study add to accumulating evidence that breastfeeding may be a modifiable protective factor for reducing the risk of MS in offspring. When possible, mothers should be supported to breastfeed their infants; however, the mechanism of a sex-specific biologic effect of breastfeeding on MS risk is unclear.
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Affiliation(s)
- A K Hedström
- Department of Clinical Neuroscience, Karolinska Institutet, Sweden
| | - C Adams
- Genetic Epidemiology and Genomics Lab, School of Public Health, University of California, USA
| | - X Shao
- Genetic Epidemiology and Genomics Lab, Division of Epidemiology, School of Public Health, University of California, USA
| | - C Schaefer
- Kaiser Permanente Division of Research, USA
| | - T Olsson
- Neuroimmunology Unit, Department of Clinical Neuroscience and Center for Molecular Medicine, Karolinska Institutet at Karolinska University Hospital, Sweden
- Institute of Environmental Medicine, Karolinska Institutet, Sweden
| | - L F Barcellos
- Genetic Epidemiology and Genomics Lab, Division of Epidemiology, School of Public Health, University of California, USA
- Kaiser Permanente Division of Research, USA
| | - L Alfredsson
- Institute of Environmental Medicine, Karolinska Institutet, Sweden
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21
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Pakdel M, Hedström A, Bidkhori M, Hadei M, Kazemi Moghaddam V, Sarmadi M, Zohdi S, Marufi N. Do socioeconomic factors affect the prevalence of multiple sclerosis in Iran? Acta Neurol Scand 2019; 140:328-335. [PMID: 31291697 DOI: 10.1111/ane.13148] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2019] [Revised: 06/30/2019] [Accepted: 07/03/2019] [Indexed: 11/30/2022]
Abstract
BACKGROUND A rising trend for incidence of multiple sclerosis (MS) has been observed during the recent years in Iran. Several factors have been investigated as the reason, but socioeconomic determinants have been neglected. The present study aimed to investigate the relationship between Human Development Index (HDI), income and education and MS prevalence in the provinces of Iran. METHODS The data used in this study were obtained from three sources: (a) National Registry of MS for MS prevalence data from 2006 to 2013, (b) Statistical Centre of Iran for demographic, income, and percentage of educated people data, and (c) some previous studies for HDI data. RESULTS The findings showed high prevalence of MS in the provinces of Iran. Most patients were residents of provinces with a higher socioeconomic level. Significant relationships were found between the prevalence of MS and HDI, income and educational level (P = .002, P = .006, and P = .001, respectively). CONCLUSION Socioeconomic determinants in Iran are different from those in many other countries. It seems that Iranian provinces with a higher socioeconomic level have higher prevalence of MS. Further studies in smaller scale are needed to better understand the relationship between socioeconomic determinants and MS prevalence in the provinces of Iran.
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Affiliation(s)
- Manizhe Pakdel
- Students Research Committee Neyshabur University of Medical Sciences Neyshabur Iran
| | - Anna Hedström
- Department of Clinical Neuroscience and Institute of Environmental Medicine Karolinska Institutet Stockholm Sweden
| | - Mohammad Bidkhori
- Department of Epidemiology and Biostatistics, School of Public Health Tehran University of Medical Sciences Tehran Iran
| | - Mostafa Hadei
- Department of Environmental Health Engineering, School of Public Health Tehran University of Medical Science Tehran Iran
| | - Vahid Kazemi Moghaddam
- Department of Environmental Health Engineering Neyshabur University of Medical Sciences Neyshabur Iran
| | - Mohammad Sarmadi
- Department of Environmental Health Engineering, School of Health Torbat Heydariyeh University of Medical Sciences Torbat Heydariyeh Iran
- Health Sciences Research Center Torbat Heydariyeh University of Medical Sciences Torbat Heydariyeh Iran
| | - Sara Zohdi
- Students Research Committee Neyshabur University of Medical Sciences Neyshabur Iran
| | - Nilufar Marufi
- Students Research Committee Neyshabur University of Medical Sciences Neyshabur Iran
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22
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Chou CH, Lee JT, Tsai CK, Lien LM, Yin JH, Lin CC, Tsai IJ, Sung YF, Yang FC, Tsai CL, Wang IK, Tseng CH, Hsu CY. Increased risk of non-multiple sclerosis demyelinating syndromes in patients with preexisting septicaemia: a nationwide retrospective cohort study. Postgrad Med J 2019; 95:307-313. [PMID: 31209183 PMCID: PMC6613738 DOI: 10.1136/postgradmedj-2019-136667] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Revised: 05/15/2019] [Accepted: 05/30/2019] [Indexed: 12/25/2022]
Abstract
Background Growing evidence shows links between septicaemia and non-multiple sclerosis demyelinating syndromes (NMSDS); nevertheless, epidemiological data are still very limited. This study aimed to explore the relationship between septicaemia and NMSDS in a general population. Methods The study included 482 781 individuals diagnosed with septicaemia and 1 892 825 age/sex-matched non-septicaemia patients for the comparison. Data were drawn from a population-based nationwide National Health Insurance Research Database Taiwan, from 1 January 2002 to 31 December 2011. The two cohorts of patients with and without septicaemia were followed up for the occurrence of NMSDS. The Cox-proportional hazard regression model was performed to estimate adjusted HR after multivariate adjustment. Results Individuals with septicaemia had a 4.17-fold (95% CI 3.21 to 5.4, p < 0.001) higher risk to develop NMSDS compared with those without septicaemia. Patients aged <65 years had a greater NMSDS risk (<45 years: HR = 6.41, 95% CI 3.65 to 11.3, p < 0.001; 45–64 years: HR = 6.66, 95% CI 3.98 to 11.2, p < 0.001). Furthermore, females with septicaemia and individuals with higher severity of septicaemia were associated with increased risks of developing NMSDS. Conclusions Our results indicated that patients with septicaemia were likely to develop NMSDS. A possible contributing role of septicaemia in increasing the hazard of NMSDS is proposed, based on the outcome that individuals with higher severity of septicaemia carried elevated threat of encountering NMSDS.
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Affiliation(s)
- Chung-Hsing Chou
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republicof China.,Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei, Taiwan, Republic of China
| | - Jiunn-Tay Lee
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republicof China .,Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei, Taiwan, Republic of China
| | - Chia-Kuang Tsai
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republicof China.,Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei, Taiwan, Republic of China
| | - Li-Ming Lien
- Department of Neurology, Shin-Kong WHS Memorial Hospital, Taipei, Taiwan, Republic of China.,School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan, Republic of China
| | - Jiu-Haw Yin
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republicof China.,Division of Neurology, Department of Medicine, Cheng Hsin General Hospital, Taipei, Taiwan, Republic of China
| | - Chun-Chieh Lin
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republicof China
| | - I-Ju Tsai
- Management Office for Health Data, China Medical University Hospital, College of Medicine, China Medical University, Taichung, Taiwan, Republic of China
| | - Yueh-Feng Sung
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republicof China
| | - Fu-Chi Yang
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republicof China
| | - Chia-Lin Tsai
- Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, Republicof China
| | - I-Kuan Wang
- Graduate Institute of Clinical Medical Science, China Medical University, Taichung, Taiwan, Republic of China.,Department of Internal Medicine, College of Medicine, China Medical University, Taichung, Taiwan, Republic of China.,Division of Kidney Disease, China Medical University Hospital, Taichung, Taiwan, Republic of China
| | - Chun-Hung Tseng
- Department of Neurology, China Medical University Hospital, Taichung, Taiwan, Republic of China
| | - Chung-Y Hsu
- Graduate Institute of Clinical Medical Science, China Medical University, Taichung, Taiwan, Republic of China
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23
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Harding KE, Wardle M, Carruthers R, Robertson N, Zhu F, Kingwell E, Tremlett H. Socioeconomic status and disability progression in multiple sclerosis: A multinational study. Neurology 2019; 92:e1497-e1506. [PMID: 30796140 DOI: 10.1212/wnl.0000000000007190] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2018] [Accepted: 11/16/2018] [Indexed: 12/26/2022] Open
Abstract
OBJECTIVE To examine the association between socioeconomic status (SES) and disability outcomes and progression in multiple sclerosis (MS). METHODS Health administrative and MS clinical data were linked for 2 cohorts of patients with MS in British Columbia (Canada) and South East Wales (UK). SES was measured at MS symptom onset (±3 years) based on neighborhood-level average income. The association between SES at MS onset and sustained and confirmed Expanded Disability Status Scale (EDSS) 6.0 and 4.0 and onset of secondary progression of MS (SPMS) were assessed using Cox proportional hazards models. EDSS scores were also examined via linear regression, using generalized estimating equations (GEE) with an exchangeable working correlation. Models were adjusted for onset age, sex, initial disease course, and disease-modifying drug exposure. Random effect models (meta-analysis) were used to combine results from the 2 cohorts. RESULTS A total of 3,113 patients with MS were included (2,069 from Canada; 1,044 from Wales). A higher SES was associated with a lower hazard of reaching EDSS 6.0 (adjusted hazard ratio [aHR] 0.90, 95% confidence interval [CI] 0.89-0.91), EDSS 4.0 (aHR 0.93, 0.88-0.98), and SPMS (aHR 0.94, 0.88-0.99). The direction of findings was similar when all EDSS scores were included (GEE: β = -0.13, -0.18 to -0.08). CONCLUSIONS Lower neighborhood-level SES was associated with a higher risk of disability progression. Reasons for this association are likely to be complex but could include factors amenable to modification, such as lifestyle or comorbidity. Our findings are relevant for planning and development of MS services.
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Affiliation(s)
- Katharine E Harding
- From the Faculty of Medicine (Neurology) and Djavad Mowafaghian Centre for Brain Health (K.E.H., R.C., F.Z., E.K., H.T.), University of British Columbia, Vancouver, Canada; Institute of Psychological Medicine and Clinical Neuroscience (K.E.H., N.R.), Cardiff University, University Hospital of Cardiff; and Helen Durham Centre for Neuroinflammatory Disease, Department of Neurology (M.W., N.R.), University Hospital of Wales, Heath Park, Cardiff, UK.
| | - Mark Wardle
- From the Faculty of Medicine (Neurology) and Djavad Mowafaghian Centre for Brain Health (K.E.H., R.C., F.Z., E.K., H.T.), University of British Columbia, Vancouver, Canada; Institute of Psychological Medicine and Clinical Neuroscience (K.E.H., N.R.), Cardiff University, University Hospital of Cardiff; and Helen Durham Centre for Neuroinflammatory Disease, Department of Neurology (M.W., N.R.), University Hospital of Wales, Heath Park, Cardiff, UK
| | - Robert Carruthers
- From the Faculty of Medicine (Neurology) and Djavad Mowafaghian Centre for Brain Health (K.E.H., R.C., F.Z., E.K., H.T.), University of British Columbia, Vancouver, Canada; Institute of Psychological Medicine and Clinical Neuroscience (K.E.H., N.R.), Cardiff University, University Hospital of Cardiff; and Helen Durham Centre for Neuroinflammatory Disease, Department of Neurology (M.W., N.R.), University Hospital of Wales, Heath Park, Cardiff, UK
| | - Neil Robertson
- From the Faculty of Medicine (Neurology) and Djavad Mowafaghian Centre for Brain Health (K.E.H., R.C., F.Z., E.K., H.T.), University of British Columbia, Vancouver, Canada; Institute of Psychological Medicine and Clinical Neuroscience (K.E.H., N.R.), Cardiff University, University Hospital of Cardiff; and Helen Durham Centre for Neuroinflammatory Disease, Department of Neurology (M.W., N.R.), University Hospital of Wales, Heath Park, Cardiff, UK
| | - Feng Zhu
- From the Faculty of Medicine (Neurology) and Djavad Mowafaghian Centre for Brain Health (K.E.H., R.C., F.Z., E.K., H.T.), University of British Columbia, Vancouver, Canada; Institute of Psychological Medicine and Clinical Neuroscience (K.E.H., N.R.), Cardiff University, University Hospital of Cardiff; and Helen Durham Centre for Neuroinflammatory Disease, Department of Neurology (M.W., N.R.), University Hospital of Wales, Heath Park, Cardiff, UK
| | - Elaine Kingwell
- From the Faculty of Medicine (Neurology) and Djavad Mowafaghian Centre for Brain Health (K.E.H., R.C., F.Z., E.K., H.T.), University of British Columbia, Vancouver, Canada; Institute of Psychological Medicine and Clinical Neuroscience (K.E.H., N.R.), Cardiff University, University Hospital of Cardiff; and Helen Durham Centre for Neuroinflammatory Disease, Department of Neurology (M.W., N.R.), University Hospital of Wales, Heath Park, Cardiff, UK
| | - Helen Tremlett
- From the Faculty of Medicine (Neurology) and Djavad Mowafaghian Centre for Brain Health (K.E.H., R.C., F.Z., E.K., H.T.), University of British Columbia, Vancouver, Canada; Institute of Psychological Medicine and Clinical Neuroscience (K.E.H., N.R.), Cardiff University, University Hospital of Cardiff; and Helen Durham Centre for Neuroinflammatory Disease, Department of Neurology (M.W., N.R.), University Hospital of Wales, Heath Park, Cardiff, UK
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Briggs FBS, Yu JC, Davis MF, Jiangyang J, Fu S, Parrotta E, Gunzler DD, Ontaneda D. Multiple sclerosis risk factors contribute to onset heterogeneity. Mult Scler Relat Disord 2018; 28:11-16. [PMID: 30529925 DOI: 10.1016/j.msard.2018.12.007] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2018] [Revised: 11/02/2018] [Accepted: 12/03/2018] [Indexed: 10/27/2022]
Abstract
BACKGROUND The phenotypic presentation of multiple sclerosis (MS) may predict long-term outcomes and little is known about factors contributing to heterogeneity at MS onset. Given temporality, it is likely MS risk factors also influence presentation of the disease near onset. METHODS Using a retrospective cross-sectional study of MS cases, we investigated: age of onset (AOO), number of impaired functional domains (NIFDs), time to second relapse (TT2R), and early relapse activity (ERA). Machine learning variable selection was applied to epidemiologic data for each outcome, followed by multivariable regression models. The models were further adjusted for HLA-DRB1*15:01 carrier status and a MS genetic risk score (GRS). The TT2R and ERA analyses were restricted to relapsing remitting MS cases. RESULTS HLA-DRB1*15:01, GRS, and smoking were associated with earlier AOO. Cases who were male, obese, had lower education, or had primary progressive MS were older at onset. For NIFDs, those with relapsing remitting MS and of lower SES had increased NIFDs. Among relapsing remitting cases, those who were older at onset, obese, and had polyfocal presentation had shorter TT2R, while ERA was greater among those younger at onset and who were obese. CONCLUSION Individual characteristics including age, genetic profiles, obesity, and smoking status contribute to heterogeneity in disease presentation and modulate early disease course evolution.
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Affiliation(s)
- Farren B S Briggs
- Neuroimmunological Disorders Gene-Environment Epidemiology Laboratory, Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, 1312 Wolstein Research Building, 2103 Cornell, Rd, Cleveland, OH 44106, USA.
| | - Justin C Yu
- Neuroimmunological Disorders Gene-Environment Epidemiology Laboratory, Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, 1312 Wolstein Research Building, 2103 Cornell, Rd, Cleveland, OH 44106, USA.
| | - Mary F Davis
- Department of Microbiology and Molecular Biology, Brigham Young University, Provo, UT, USA.
| | - Jinghong Jiangyang
- Neuroimmunological Disorders Gene-Environment Epidemiology Laboratory, Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, 1312 Wolstein Research Building, 2103 Cornell, Rd, Cleveland, OH 44106, USA.
| | - Shannon Fu
- Neuroimmunological Disorders Gene-Environment Epidemiology Laboratory, Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, 1312 Wolstein Research Building, 2103 Cornell, Rd, Cleveland, OH 44106, USA.
| | - Erica Parrotta
- Mellen Center for Multiple Sclerosis Treatment and Research, Neurological Institute, Cleveland Clinic Foundation, Cleveland, OH, USA.
| | - Douglas D Gunzler
- Center for Health Care Research and Policy, Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, USA.
| | - Daniel Ontaneda
- Mellen Center for Multiple Sclerosis Treatment and Research, Neurological Institute, Cleveland Clinic Foundation, Cleveland, OH, USA.
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25
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Abdollahpour I, Nedjat S, Salimi Y, Moradzadeh R, Mansournia MA, Sahraian MA, Shokoohi M. No association between socioeconomic status and risk of multiple sclerosis: A population-based incident case-control study in a developing country. Mult Scler Relat Disord 2018; 25:292-296. [DOI: 10.1016/j.msard.2018.08.019] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2018] [Revised: 08/16/2018] [Accepted: 08/21/2018] [Indexed: 12/31/2022]
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Saroufim P, Zweig SA, Conway DS, Briggs FBS. Cardiovascular conditions in persons with multiple sclerosis, neuromyelitis optica and transverse myelitis. Mult Scler Relat Disord 2018; 25:21-25. [PMID: 30014877 DOI: 10.1016/j.msard.2018.07.011] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2018] [Revised: 07/02/2018] [Accepted: 07/06/2018] [Indexed: 12/14/2022]
Abstract
BACKGROUND Cardiovascular conditions are associated with poorer outcomes in multiple sclerosis (MS). Whether the burden of cardiovascular conditions differs between those with demyelinating disease and unaffected controls is not clear. The objective of this study is to investigate the burden and age of onset of cardiovascular conditions in a US population with MS, neuromyelitis optica spectrum disorder (NMOSD), or transverse myelitis (TM) to unaffected controls adjusting for likely confounders. METHODS Using a case-control study design, we compared the burden of self-reported diabetes mellitus type 2, heart disease, hyperlipidemia, and hypertension in cases with MS (N = 1,548), NMOSD (N = 306), and TM (N = 145) to controls (N = 677), adjusting for demographics, smoking history, obesity, family history of individual cardiovascular conditions, and presence of other cardiovascular conditions. The age of onset for individual cardiovascular conditions were also compared between cases and controls. RESULTS MS cases were 48% more likely to have ever had hypertension than controls (p = 0.01). The prevalence of other cardiovascular conditions did not differ across cases and controls. There were also no differences in the age of cardiovascular disease onset between cases and controls. CONCLUSION Cardiovascular conditions are as common in those with demyelinating diseases compared to unaffected individuals, with hypertension being more common among those with MS.
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Affiliation(s)
- Paola Saroufim
- Neuroimmunological Disorders Gene-Environment Epidemiology Laboratory, Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, United States; Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, United States
| | - Sophia A Zweig
- Neuroimmunological Disorders Gene-Environment Epidemiology Laboratory, Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, United States
| | - Devon S Conway
- The Mellen Center for Multiple Sclerosis Treatment and Research, Neurological Institute, Cleveland Clinic Foundation, Cleveland, OH, United States
| | - Farren B S Briggs
- Neuroimmunological Disorders Gene-Environment Epidemiology Laboratory, Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, United States.
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Roos LL, Wall-Wieler E. Life course epidemiology: Modeling educational attainment with administrative data. PLoS One 2017; 12:e0188976. [PMID: 29281651 PMCID: PMC5744927 DOI: 10.1371/journal.pone.0188976] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2017] [Accepted: 11/16/2017] [Indexed: 11/25/2022] Open
Abstract
Background Understanding the processes across childhood and adolescence that affect later life inequalities depends on many variables for a large number of individuals measured over substantial time periods. Linkable administrative data were used to generate birth cohorts and to study pathways of inequity in childhood and early adolescence leading to differences in educational attainment. Advantages and disadvantages of using large administrative data bases for such research were highlighted. Methods Children born in Manitoba, Canada between 1982 and 1995 were followed until age 19 (N = 89,763), with many time-invariant measures serving as controls. Five time-varying predictors of high school graduation—three social and two health—were modelled using logistic regression and a framework for examining predictors across the life course. For each time-varying predictor, six temporal patterns were tested: full, accumulation of risk, sensitive period, and three critical period models. Results Predictors measured in early adolescence generated the highest odds ratios, suggesting the importance of adolescence. Full models provided the best fit for the three time-varying social measures. Residence in a low-income neighborhood was a particularly influential predictor of not graduating from high school. The transmission of risk across developmental periods was also highlighted; exposure in one period had significant implications for subsequent life stages. Conclusion This study advances life course epidemiology, using administrative data to clarify the relationships among several measures of social behavior, cognitive development, and health. Analyses of temporal patterns can be useful in studying such other outcomes as educational achievement, teen pregnancy, and workforce participation.
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Affiliation(s)
- Leslie L. Roos
- Department of Community Health Sciences, University of Manitoba, Manitoba, Canada
- Manitoba Centre for Health Policy, Manitoba, Canada
- * E-mail:
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Roux J, Bard D, Le Pabic E, Segala C, Reis J, Ongagna JC, de Sèze J, Leray E. Air pollution by particulate matter PM 10 may trigger multiple sclerosis relapses. ENVIRONMENTAL RESEARCH 2017; 156:404-410. [PMID: 28407574 DOI: 10.1016/j.envres.2017.03.049] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2017] [Revised: 03/28/2017] [Accepted: 03/30/2017] [Indexed: 06/07/2023]
Abstract
BACKGROUND Seasonal variation of relapses in multiple sclerosis (MS) suggests that season-dependent factors, such as ambient air pollution, may trigger them. However, only few studies have considered possible role of air pollutants as relapse's risk factor. OBJECTIVE We investigated the effect of particulate matter of aerodynamic diameter smaller than 10µm (PM10) on MS relapses. METHODS In total, 536 relapsing MS patients from Strasbourg city (France) were included, accounting for 2052 relapses over 2000-2009 period. A case-crossover design was used with cases defined as the days of relapse and controls being selected in the same patient at plus and minus 35 days. Different lags from 0 to 30 days were considered. Conditional logistic regressions, adjusted on meteorological parameters, school and public holidays, were used and exposure was considered first as a quantitative variable and second, as a binary variable. RESULTS The natural logarithm of the average PM10 concentration lagged from 1 to 3 days before relapse onset was significantly associated with relapse risk (OR =1.40 [95% confidence interval 1.08-1.81]) in cold season. Consistent results were observed when considering PM10 as a binary variable, even if not significant. CONCLUSION With an appropriate study design and robust ascertainment of neurological events and exposure, the present study highlights the effect of PM10 on the risk of relapse in MS patients, probably through oxidative stress mechanisms.
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Affiliation(s)
- Jonathan Roux
- METIS Department, EA 7449 REPERES, EHESP French School of Public Health, Sorbonne Paris Cité, 15 avenue du Professeur Léon-Bernard - CS 74312, 35043 Rennes, France; INSERM CIC-P 1414, CHU of Rennes, 2 Rue Henri le Guilloux, 35000 Rennes, France.
| | - Denis Bard
- METIS Department, EA 7449 REPERES, EHESP French School of Public Health, Sorbonne Paris Cité, 15 avenue du Professeur Léon-Bernard - CS 74312, 35043 Rennes, France.
| | - Estelle Le Pabic
- METIS Department, EA 7449 REPERES, EHESP French School of Public Health, Sorbonne Paris Cité, 15 avenue du Professeur Léon-Bernard - CS 74312, 35043 Rennes, France; INSERM CIC-P 1414, CHU of Rennes, 2 Rue Henri le Guilloux, 35000 Rennes, France.
| | | | - Jacques Reis
- Clinique Neurologique, CHU of Strasbourg, 1 Avenue Molière, 67200 Strasbourg, France.
| | - Jean-Claude Ongagna
- Department of Neurology, Strasbourg University, INSERM CIC 1434, CHU of Strasbourg, 1 place de l'Hôpital, 67091 Strasbourg cedex, France.
| | - Jérôme de Sèze
- Department of Neurology, Strasbourg University, INSERM CIC 1434, CHU of Strasbourg, 1 place de l'Hôpital, 67091 Strasbourg cedex, France.
| | - Emmanuelle Leray
- METIS Department, EA 7449 REPERES, EHESP French School of Public Health, Sorbonne Paris Cité, 15 avenue du Professeur Léon-Bernard - CS 74312, 35043 Rennes, France; INSERM CIC-P 1414, CHU of Rennes, 2 Rue Henri le Guilloux, 35000 Rennes, France.
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Graves JS, Chitnis T, Weinstock-Guttman B, Rubin J, Zelikovitch AS, Nourbakhsh B, Simmons T, Waltz M, Casper TC, Waubant E. Maternal and Perinatal Exposures Are Associated With Risk for Pediatric-Onset Multiple Sclerosis. Pediatrics 2017; 139:e20162838. [PMID: 28562303 PMCID: PMC5369674 DOI: 10.1542/peds.2016-2838] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/26/2017] [Indexed: 12/21/2022] Open
Abstract
OBJECTIVE To determine if prenatal, pregnancy, or postpartum-related environmental factors are associated with multiple sclerosis (MS) risk in children. METHODS This is a case-control study of children with MS or clinically isolated syndrome and healthy controls enrolled at 16 clinics participating in the US Network of Pediatric MS Centers. Parents completed a comprehensive environmental questionnaire, including the capture of pregnancy and perinatal factors. Case status was confirmed by a panel of 3 pediatric MS specialists. Multivariable logistic regression analyses were used to determine association of these environmental factors with case status, adjusting for age, sex, race, ethnicity, US birth region, and socioeconomic status. RESULTS Questionnaire responses were available for 265 eligible cases (median age 15.7 years, 62% girls) and 412 healthy controls (median age 14.6, 54% girls). In the primary multivariable analysis, maternal illness during pregnancy was associated with 2.3-fold increase in odds to have MS (95% confidence interval [CI] 1.20-4.21, P = .01) and cesarean delivery with 60% reduction (95% CI 0.20-0.82, P = .01). In a model adjusted for these variables, maternal age and BMI, tobacco smoke exposure, and breastfeeding were not associated with odds to have MS. In the secondary analyses, after adjustment for age, sex, race, ethnicity, and socioeconomic status, having a father who worked in a gardening-related occupation (odds ratio [OR] 2.18, 95% CI 1.14-4.16, P = .02) or any use in household of pesticide-related products (OR 1.73, 95% CI 1.06-2.81, P = .03) were both associated with increased odds to have pediatric MS. CONCLUSION Cesarean delivery and maternal health during pregnancy may influence risk for pediatric-onset MS. We report a new possible association of pesticide-related environmental exposures with pediatric MS that warrants further investigation and replication.
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Affiliation(s)
- Jennifer S Graves
- Pediatric Multiple Sclerosis Center, University of California San Francisco, San Francisco, California;
| | - Tanuja Chitnis
- Partners Pediatric Multiple Sclerosis Center, Massachusetts General Hospital, Boston, Massachusetts
| | | | - Jennifer Rubin
- Lurie Children's Hospital of Chicago, Chicago, Illinois; and
| | | | - Bardia Nourbakhsh
- Pediatric Multiple Sclerosis Center, University of California San Francisco, San Francisco, California
| | - Timothy Simmons
- Data Coordinating and Analysis Center, University of Utah, Salt Lake City, Utah
| | - Michael Waltz
- Data Coordinating and Analysis Center, University of Utah, Salt Lake City, Utah
| | - T Charles Casper
- Data Coordinating and Analysis Center, University of Utah, Salt Lake City, Utah
| | - Emmanuelle Waubant
- Pediatric Multiple Sclerosis Center, University of California San Francisco, San Francisco, California
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Bjørnevik K, Riise T, Benjaminsen E, Celius EG, Dahl OP, Kampman MT, Løken-Amsrud KI, Midgard R, Myhr KM, Torkildsen Ø, Vatne A, Grytten N. Level of education and multiple sclerosis risk over a 50-year period: Registry-based sibling study. Mult Scler 2017; 23:213-219. [PMID: 27207453 PMCID: PMC5302076 DOI: 10.1177/1352458516646863] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2015] [Revised: 03/17/2016] [Accepted: 04/05/2016] [Indexed: 12/21/2022]
Abstract
BACKGROUND The conflicting results from studies on socioeconomic status (SES) and multiple sclerosis (MS) risk might be due to a change in the distribution of environmental exposures over time or to methodological limitations in previous research. OBJECTIVE To examine the association between SES and MS risk during 50 years. METHODS We included patients registered in Norwegian MS registries and prevalence studies born between 1930 and 1979, and identified their siblings and parents using the Norwegian Population Registry. Information on education was retrieved from the National Education Registry, categorized into four levels (primary, secondary, undergraduate and graduate) and compared in patients and siblings using conditional logistic regression. RESULTS A total of 4494 MS patients and 9193 of their siblings were included in the analyses. Level of education was inversely associated with MS risk ( p trend < 0.001) with an odds ratio (OR) of 0.73 (95% confidence interval (CI): 0.59-0.90) when comparing the highest and lowest levels. The effect estimates did not vary markedly between participants born before or after the median year of birth (1958), but we observed a significant effect modification by parental education ( p = 0.047). CONCLUSION Level of education was inversely associated with MS risk, and the estimates were similar in the earliest and latest birth cohorts.
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Affiliation(s)
- Kjetil Bjørnevik
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway/The Norwegian Multiple Sclerosis Competence Center, Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Trond Riise
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway/The Norwegian Multiple Sclerosis Competence Center, Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | | | - Elisabeth G Celius
- Department of Neurology, Oslo University Hospital, Ullevål, Oslo, Norway/Institute of Health and Society, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Ole P Dahl
- Department of Neurology, Namsos Hospital, Namsos, Norway
| | - Margitta T Kampman
- Department of Neurology, University Hospital of North Norway, Tromsø, Norway
| | | | - Rune Midgard
- Molde Hospital, Molde, Norway/Unit for Applied Clinical Research, Norwegian University of Science and Technology, Trondheim, Norway
| | - Kjell-Morten Myhr
- The Kristian Gerhard Jebsen Centre for MS Research, Department of Clinical Medicine, University of Bergen, Bergen, Norway/The Norwegian Multiple Sclerosis Registry and Biobank, Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Øivind Torkildsen
- The Norwegian Multiple Sclerosis Competence Center, Department of Neurology, Haukeland University Hospital, Bergen, Norway/The Kristian Gerhard Jebsen Centre for MS Research, Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Anita Vatne
- Department of Neurology, Sørlandet Hospital Kristiansand, Kristiansand, Norway
| | - Nina Grytten
- The Norwegian Multiple Sclerosis Competence Center, Department of Neurology, Haukeland University Hospital, Bergen, Norway/The Kristian Gerhard Jebsen Centre for MS Research, Department of Clinical Medicine, University of Bergen, Bergen, Norway
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D'hooghe MB, Haentjens P, Van Remoortel A, De Keyser J, Nagels G. Self-reported levels of education and disability progression in multiple sclerosis. Acta Neurol Scand 2016; 134:414-419. [PMID: 27761897 DOI: 10.1111/ane.12555] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/11/2015] [Indexed: 11/29/2022]
Abstract
OBJECTIVES The purpose of our study is to investigate whether socioeconomic indicators such as education, financial concerns, employment, and living status are associated with disease progression in relapsing-onset and progressive-onset Multiple Sclerosis (MS). MATERIALS AND METHODS We performed a cross-sectional survey among individuals with MS, registered by the Flemish MS society and included socioeconomic indicators. A Cox proportional hazard regression was performed with the time from MS onset and from birth to reach an ambulatory disability milestone corresponding to Expanded Disability Status Scale (EDSS) 6 (requiring a cane) as outcome measure, adjusted for gender, age at MS onset, and immunomodulatory treatment. RESULTS Among the participants with relapsing-onset MS, subjects reporting education for more than 12 years had a reduced risk of reaching EDSS 6 compared to subjects reporting education for less than 12 years [HR from onset 0.68 (95% CI 0.49-0.95); HR from birth 0.71 (95% CI 0.51-0.99)]. In progressive-onset MS, longer education was associated with an increased hazard to reach EDSS 6 [HR from onset 1.25 (95% CI 0.91-1.70); HR from birth 1.39 (95% CI 1.02-1.90)]. CONCLUSIONS Our study shows an association of self-reported levels of education with disability progression in MS, with the highest level being protective in relapsing-onset MS.
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Affiliation(s)
- M. B. D'hooghe
- National Multiple Sclerosis Center; Melsbroek Belgium
- Center For Neurosciences; Vrije Universiteit Brussel; Brussels Belgium
| | - P. Haentjens
- Laboratory of Experimental Surgery and Center for Outcomes Research; UZ Brussel; Vrije Universiteit Brussel; Brussels Belgium
| | | | - J. De Keyser
- Center For Neurosciences; Vrije Universiteit Brussel; Brussels Belgium
- Department of Neurology; University Medical Center Groningen; Groningen The Netherlands
| | - G. Nagels
- National Multiple Sclerosis Center; Melsbroek Belgium
- Center For Neurosciences; Vrije Universiteit Brussel; Brussels Belgium
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George MF, Holingue CB, Briggs FBS, Shao X, Bellesis KH, Whitmer RA, Schaefer C, Benedict RH, Barcellos LF. Feasibility study for remote assessment of cognitive function in multiple sclerosis. ACTA ACUST UNITED AC 2016; 1:10-18. [PMID: 28255581 DOI: 10.29245/2572.942x/2016/8.1084] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
BACKGROUND Cognitive impairment is common in multiple sclerosis (MS), and affects employment and quality of life. Large studies are needed to identify risk factors for cognitive decline. Currently, a MS-validated remote assessment for cognitive function does not exist. Studies to determine feasibility of large remote cognitive function investigations in MS have not been published. OBJECTIVE To determine whether MS patients would participate in remote cognitive studies. We utilized the Modified Telephone Interview for Cognitive Status (TICS-M), a previously validated phone assessment for cognitive function in healthy elderly populations to detect mild cognitive impairment. We identified factors that influenced participation rates. We investigated the relationship between MS risk factors and TICS-M score in cases, and score differences between cases and control individuals. METHODS The TICS-M was administered to MS cases and controls. Linear and logistic regression models were utilized. RESULTS 11.5% of eligible study participants did not participate in cognitive testing. MS cases, females and individuals with lower educational status were more likely to refuse (p<0.001). Cases who did complete testing did not differ in terms of perceived cognitive deficit compared to cases that did participate. More severe disease, smoking, and being male were associated with a lower TICS-M score among cases (p<0.001). The TICS-M score was significantly lower in cases compared to controls (p=0.007). CONCLUSIONS Our results demonstrate convincingly that a remotely administered cognitive assessment is quite feasible for conducting large epidemiologic studies in MS, and lay the much needed foundation for future work that will utilize MS-validated cognitive measures.
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Affiliation(s)
- Michaela F George
- Division of Epidemiology, Genetic Epidemiology and Genomics Laboratory, School of Public Health, University of California, Berkeley, CA, USA
| | - Calliope B Holingue
- Division of Epidemiology, Genetic Epidemiology and Genomics Laboratory, School of Public Health, University of California, Berkeley, CA, USA
| | - Farren B S Briggs
- Department of Epidemiology and Biostatistics, School of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - Xiaorong Shao
- Division of Epidemiology, Genetic Epidemiology and Genomics Laboratory, School of Public Health, University of California, Berkeley, CA, USA
| | | | | | | | | | - Lisa F Barcellos
- Division of Epidemiology, Genetic Epidemiology and Genomics Laboratory, School of Public Health, University of California, Berkeley, CA, USA; Kaiser Permanente Division of Research, Oakland, CA, USA
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Moberg JY, Laursen B, Koch-Henriksen N, Thygesen LC, Brødsgaard A, Soelberg Sørensen P, Magyari M. Employment, disability pension and income for children with parental multiple sclerosis. Mult Scler 2016; 23:1148-1156. [DOI: 10.1177/1352458516672016] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background: Little is known about the consequences of parental multiple sclerosis (MS) on offspring’s socioeconomic circumstances. Objective: To investigate employment, disability pension and income in offspring of parents with MS compared with matched reference persons in a nationwide register-based cohort study. Methods: All Danish-born persons with onset of MS during 1950–1986 were retrieved from the Danish Multiple Sclerosis Registry. Their offspring were identified using the Civil Registration System. One random offspring from each sibship was matched by sex and year of birth with eight random reference persons. Results: We included 2456 MS offspring and 19,648 reference persons. At age 30, employment was lower among MS offspring than reference children (odds ratio (OR): 0.89; 95% confidence interval (CI): 0.84–0.95; p = 0.0003), and they more often received disability pension (OR: 1.31; 95% CI: 1.15–1.50; p < 0.0001) at ages 30 and 40 but not at age 50. Although the mean income was not significantly lower for the MS offspring cohort, most of them attained an annual personal income below 250,000 DKK (Danish krone), that is, ~33,650 EUR (OR: 0.91; 95% CI: 0.84–0.99; p = 0.04). Conclusion: Having had a parent with MS may affect employment and increase the risk of disability pension and low income in adult life.
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Affiliation(s)
- Julie Yoon Moberg
- Danish Multiple Sclerosis Center, Department of Neurology, Rigshospitalet, Copenhagen, Denmark/University of Copenhagen, Copenhagen, Denmark
| | - Bjarne Laursen
- National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
| | - Nils Koch-Henriksen
- The Danish Multiple Sclerosis Registry, Rigshospitalet, Copenhagen, Denmark/Department of Clinical Epidemiology, Clinical Institute, Aarhus University, Aarhus, Denmark
| | - Lau Caspar Thygesen
- National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
| | - Anne Brødsgaard
- Paediatric Department, Hvidovre Hospital, Hvidovre, Denmark/Departments of Public Health and Science in Nursing, Aarhus University, Aarhus, Denmark
| | - Per Soelberg Sørensen
- Danish Multiple Sclerosis Center, Department of Neurology, Rigshospitalet, Copenhagen, Denmark/University of Copenhagen, Copenhagen, Denmark
| | - Melinda Magyari
- Danish Multiple Sclerosis Center, Department of Neurology, Rigshospitalet, Copenhagen, Denmark/The Danish Multiple Sclerosis Registry, Rigshospitalet, Copenhagen, Denmark
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Rhead B, Bäärnhielm M, Gianfrancesco M, Mok A, Shao X, Quach H, Shen L, Schaefer C, Link J, Gyllenberg A, Hedström AK, Olsson T, Hillert J, Kockum I, Glymour MM, Alfredsson L, Barcellos LF. Mendelian randomization shows a causal effect of low vitamin D on multiple sclerosis risk. NEUROLOGY-GENETICS 2016; 2:e97. [PMID: 27652346 PMCID: PMC5022843 DOI: 10.1212/nxg.0000000000000097] [Citation(s) in RCA: 135] [Impact Index Per Article: 16.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/08/2016] [Accepted: 07/12/2016] [Indexed: 01/02/2023]
Abstract
Objective: We sought to estimate the causal effect of low serum 25(OH)D on multiple sclerosis (MS) susceptibility that is not confounded by environmental or lifestyle factors or subject to reverse causality. Methods: We conducted mendelian randomization (MR) analyses using an instrumental variable (IV) comprising 3 single nucleotide polymorphisms found to be associated with serum 25(OH)D levels at genome-wide significance. We analyzed the effect of the IV on MS risk and both age at onset and disease severity in 2 separate populations using logistic regression models that controlled for sex, year of birth, smoking, education, genetic ancestry, body mass index at age 18–20 years or in 20s, a weighted genetic risk score for 110 known MS-associated variants, and the presence of one or more HLA-DRB1*15:01 alleles. Results: Findings from MR analyses using the IV showed increasing levels of 25(OH)D are associated with a decreased risk of MS in both populations. In white, non-Hispanic members of Kaiser Permanente Northern California (1,056 MS cases and 9,015 controls), the odds ratio (OR) was 0.79 (p = 0.04, 95% confidence interval (CI): 0.64–0.99). In members of a Swedish population from the Epidemiological Investigation of Multiple Sclerosis and Genes and Environment in Multiple Sclerosis MS case-control studies (6,335 cases and 5,762 controls), the OR was 0.86 (p = 0.03, 95% CI: 0.76–0.98). A meta-analysis of the 2 populations gave a combined OR of 0.85 (p = 0.003, 95% CI: 0.76–0.94). No association was observed for age at onset or disease severity. Conclusions: These results provide strong evidence that low serum 25(OH)D concentration is a cause of MS, independent of established risk factors.
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Affiliation(s)
- Brooke Rhead
- Computational Biology Graduate Group (B.R.), Division of Epidemiology (M.G., A.M., X.S., H.Q., L.F.B.), School of Public Health, University of California, Berkeley; Institute of Environmental Medicine (M.B., A.K.H., L.A.), Karolinska Institutet, Stockholm, Sweden; Kaiser Permanente Division of Research (L.S., C.S., L.F.B.), Research Program on Genes, Environment, and Health (C.S.), Kaiser Permanente, Oakland, CA; Department of Clinical Neuroscience and Center for Molecular Medicine (J.L., A.G., T.O., J.H., I.K.), Karolinska Institutet at Karolinska University Hospital, Stockholm, Sweden; Department of Epidemiology and Biostatistics (M.M.G.), University of California, San Francisco; and Centre for Occupational and Environmental Medicine (L.A.), Stockholm County Council, Sweden
| | - Maria Bäärnhielm
- Computational Biology Graduate Group (B.R.), Division of Epidemiology (M.G., A.M., X.S., H.Q., L.F.B.), School of Public Health, University of California, Berkeley; Institute of Environmental Medicine (M.B., A.K.H., L.A.), Karolinska Institutet, Stockholm, Sweden; Kaiser Permanente Division of Research (L.S., C.S., L.F.B.), Research Program on Genes, Environment, and Health (C.S.), Kaiser Permanente, Oakland, CA; Department of Clinical Neuroscience and Center for Molecular Medicine (J.L., A.G., T.O., J.H., I.K.), Karolinska Institutet at Karolinska University Hospital, Stockholm, Sweden; Department of Epidemiology and Biostatistics (M.M.G.), University of California, San Francisco; and Centre for Occupational and Environmental Medicine (L.A.), Stockholm County Council, Sweden
| | - Milena Gianfrancesco
- Computational Biology Graduate Group (B.R.), Division of Epidemiology (M.G., A.M., X.S., H.Q., L.F.B.), School of Public Health, University of California, Berkeley; Institute of Environmental Medicine (M.B., A.K.H., L.A.), Karolinska Institutet, Stockholm, Sweden; Kaiser Permanente Division of Research (L.S., C.S., L.F.B.), Research Program on Genes, Environment, and Health (C.S.), Kaiser Permanente, Oakland, CA; Department of Clinical Neuroscience and Center for Molecular Medicine (J.L., A.G., T.O., J.H., I.K.), Karolinska Institutet at Karolinska University Hospital, Stockholm, Sweden; Department of Epidemiology and Biostatistics (M.M.G.), University of California, San Francisco; and Centre for Occupational and Environmental Medicine (L.A.), Stockholm County Council, Sweden
| | - Amanda Mok
- Computational Biology Graduate Group (B.R.), Division of Epidemiology (M.G., A.M., X.S., H.Q., L.F.B.), School of Public Health, University of California, Berkeley; Institute of Environmental Medicine (M.B., A.K.H., L.A.), Karolinska Institutet, Stockholm, Sweden; Kaiser Permanente Division of Research (L.S., C.S., L.F.B.), Research Program on Genes, Environment, and Health (C.S.), Kaiser Permanente, Oakland, CA; Department of Clinical Neuroscience and Center for Molecular Medicine (J.L., A.G., T.O., J.H., I.K.), Karolinska Institutet at Karolinska University Hospital, Stockholm, Sweden; Department of Epidemiology and Biostatistics (M.M.G.), University of California, San Francisco; and Centre for Occupational and Environmental Medicine (L.A.), Stockholm County Council, Sweden
| | - Xiaorong Shao
- Computational Biology Graduate Group (B.R.), Division of Epidemiology (M.G., A.M., X.S., H.Q., L.F.B.), School of Public Health, University of California, Berkeley; Institute of Environmental Medicine (M.B., A.K.H., L.A.), Karolinska Institutet, Stockholm, Sweden; Kaiser Permanente Division of Research (L.S., C.S., L.F.B.), Research Program on Genes, Environment, and Health (C.S.), Kaiser Permanente, Oakland, CA; Department of Clinical Neuroscience and Center for Molecular Medicine (J.L., A.G., T.O., J.H., I.K.), Karolinska Institutet at Karolinska University Hospital, Stockholm, Sweden; Department of Epidemiology and Biostatistics (M.M.G.), University of California, San Francisco; and Centre for Occupational and Environmental Medicine (L.A.), Stockholm County Council, Sweden
| | - Hong Quach
- Computational Biology Graduate Group (B.R.), Division of Epidemiology (M.G., A.M., X.S., H.Q., L.F.B.), School of Public Health, University of California, Berkeley; Institute of Environmental Medicine (M.B., A.K.H., L.A.), Karolinska Institutet, Stockholm, Sweden; Kaiser Permanente Division of Research (L.S., C.S., L.F.B.), Research Program on Genes, Environment, and Health (C.S.), Kaiser Permanente, Oakland, CA; Department of Clinical Neuroscience and Center for Molecular Medicine (J.L., A.G., T.O., J.H., I.K.), Karolinska Institutet at Karolinska University Hospital, Stockholm, Sweden; Department of Epidemiology and Biostatistics (M.M.G.), University of California, San Francisco; and Centre for Occupational and Environmental Medicine (L.A.), Stockholm County Council, Sweden
| | - Ling Shen
- Computational Biology Graduate Group (B.R.), Division of Epidemiology (M.G., A.M., X.S., H.Q., L.F.B.), School of Public Health, University of California, Berkeley; Institute of Environmental Medicine (M.B., A.K.H., L.A.), Karolinska Institutet, Stockholm, Sweden; Kaiser Permanente Division of Research (L.S., C.S., L.F.B.), Research Program on Genes, Environment, and Health (C.S.), Kaiser Permanente, Oakland, CA; Department of Clinical Neuroscience and Center for Molecular Medicine (J.L., A.G., T.O., J.H., I.K.), Karolinska Institutet at Karolinska University Hospital, Stockholm, Sweden; Department of Epidemiology and Biostatistics (M.M.G.), University of California, San Francisco; and Centre for Occupational and Environmental Medicine (L.A.), Stockholm County Council, Sweden
| | - Catherine Schaefer
- Computational Biology Graduate Group (B.R.), Division of Epidemiology (M.G., A.M., X.S., H.Q., L.F.B.), School of Public Health, University of California, Berkeley; Institute of Environmental Medicine (M.B., A.K.H., L.A.), Karolinska Institutet, Stockholm, Sweden; Kaiser Permanente Division of Research (L.S., C.S., L.F.B.), Research Program on Genes, Environment, and Health (C.S.), Kaiser Permanente, Oakland, CA; Department of Clinical Neuroscience and Center for Molecular Medicine (J.L., A.G., T.O., J.H., I.K.), Karolinska Institutet at Karolinska University Hospital, Stockholm, Sweden; Department of Epidemiology and Biostatistics (M.M.G.), University of California, San Francisco; and Centre for Occupational and Environmental Medicine (L.A.), Stockholm County Council, Sweden
| | - Jenny Link
- Computational Biology Graduate Group (B.R.), Division of Epidemiology (M.G., A.M., X.S., H.Q., L.F.B.), School of Public Health, University of California, Berkeley; Institute of Environmental Medicine (M.B., A.K.H., L.A.), Karolinska Institutet, Stockholm, Sweden; Kaiser Permanente Division of Research (L.S., C.S., L.F.B.), Research Program on Genes, Environment, and Health (C.S.), Kaiser Permanente, Oakland, CA; Department of Clinical Neuroscience and Center for Molecular Medicine (J.L., A.G., T.O., J.H., I.K.), Karolinska Institutet at Karolinska University Hospital, Stockholm, Sweden; Department of Epidemiology and Biostatistics (M.M.G.), University of California, San Francisco; and Centre for Occupational and Environmental Medicine (L.A.), Stockholm County Council, Sweden
| | - Alexandra Gyllenberg
- Computational Biology Graduate Group (B.R.), Division of Epidemiology (M.G., A.M., X.S., H.Q., L.F.B.), School of Public Health, University of California, Berkeley; Institute of Environmental Medicine (M.B., A.K.H., L.A.), Karolinska Institutet, Stockholm, Sweden; Kaiser Permanente Division of Research (L.S., C.S., L.F.B.), Research Program on Genes, Environment, and Health (C.S.), Kaiser Permanente, Oakland, CA; Department of Clinical Neuroscience and Center for Molecular Medicine (J.L., A.G., T.O., J.H., I.K.), Karolinska Institutet at Karolinska University Hospital, Stockholm, Sweden; Department of Epidemiology and Biostatistics (M.M.G.), University of California, San Francisco; and Centre for Occupational and Environmental Medicine (L.A.), Stockholm County Council, Sweden
| | - Anna Karin Hedström
- Computational Biology Graduate Group (B.R.), Division of Epidemiology (M.G., A.M., X.S., H.Q., L.F.B.), School of Public Health, University of California, Berkeley; Institute of Environmental Medicine (M.B., A.K.H., L.A.), Karolinska Institutet, Stockholm, Sweden; Kaiser Permanente Division of Research (L.S., C.S., L.F.B.), Research Program on Genes, Environment, and Health (C.S.), Kaiser Permanente, Oakland, CA; Department of Clinical Neuroscience and Center for Molecular Medicine (J.L., A.G., T.O., J.H., I.K.), Karolinska Institutet at Karolinska University Hospital, Stockholm, Sweden; Department of Epidemiology and Biostatistics (M.M.G.), University of California, San Francisco; and Centre for Occupational and Environmental Medicine (L.A.), Stockholm County Council, Sweden
| | - Tomas Olsson
- Computational Biology Graduate Group (B.R.), Division of Epidemiology (M.G., A.M., X.S., H.Q., L.F.B.), School of Public Health, University of California, Berkeley; Institute of Environmental Medicine (M.B., A.K.H., L.A.), Karolinska Institutet, Stockholm, Sweden; Kaiser Permanente Division of Research (L.S., C.S., L.F.B.), Research Program on Genes, Environment, and Health (C.S.), Kaiser Permanente, Oakland, CA; Department of Clinical Neuroscience and Center for Molecular Medicine (J.L., A.G., T.O., J.H., I.K.), Karolinska Institutet at Karolinska University Hospital, Stockholm, Sweden; Department of Epidemiology and Biostatistics (M.M.G.), University of California, San Francisco; and Centre for Occupational and Environmental Medicine (L.A.), Stockholm County Council, Sweden
| | - Jan Hillert
- Computational Biology Graduate Group (B.R.), Division of Epidemiology (M.G., A.M., X.S., H.Q., L.F.B.), School of Public Health, University of California, Berkeley; Institute of Environmental Medicine (M.B., A.K.H., L.A.), Karolinska Institutet, Stockholm, Sweden; Kaiser Permanente Division of Research (L.S., C.S., L.F.B.), Research Program on Genes, Environment, and Health (C.S.), Kaiser Permanente, Oakland, CA; Department of Clinical Neuroscience and Center for Molecular Medicine (J.L., A.G., T.O., J.H., I.K.), Karolinska Institutet at Karolinska University Hospital, Stockholm, Sweden; Department of Epidemiology and Biostatistics (M.M.G.), University of California, San Francisco; and Centre for Occupational and Environmental Medicine (L.A.), Stockholm County Council, Sweden
| | - Ingrid Kockum
- Computational Biology Graduate Group (B.R.), Division of Epidemiology (M.G., A.M., X.S., H.Q., L.F.B.), School of Public Health, University of California, Berkeley; Institute of Environmental Medicine (M.B., A.K.H., L.A.), Karolinska Institutet, Stockholm, Sweden; Kaiser Permanente Division of Research (L.S., C.S., L.F.B.), Research Program on Genes, Environment, and Health (C.S.), Kaiser Permanente, Oakland, CA; Department of Clinical Neuroscience and Center for Molecular Medicine (J.L., A.G., T.O., J.H., I.K.), Karolinska Institutet at Karolinska University Hospital, Stockholm, Sweden; Department of Epidemiology and Biostatistics (M.M.G.), University of California, San Francisco; and Centre for Occupational and Environmental Medicine (L.A.), Stockholm County Council, Sweden
| | - M Maria Glymour
- Computational Biology Graduate Group (B.R.), Division of Epidemiology (M.G., A.M., X.S., H.Q., L.F.B.), School of Public Health, University of California, Berkeley; Institute of Environmental Medicine (M.B., A.K.H., L.A.), Karolinska Institutet, Stockholm, Sweden; Kaiser Permanente Division of Research (L.S., C.S., L.F.B.), Research Program on Genes, Environment, and Health (C.S.), Kaiser Permanente, Oakland, CA; Department of Clinical Neuroscience and Center for Molecular Medicine (J.L., A.G., T.O., J.H., I.K.), Karolinska Institutet at Karolinska University Hospital, Stockholm, Sweden; Department of Epidemiology and Biostatistics (M.M.G.), University of California, San Francisco; and Centre for Occupational and Environmental Medicine (L.A.), Stockholm County Council, Sweden
| | - Lars Alfredsson
- Computational Biology Graduate Group (B.R.), Division of Epidemiology (M.G., A.M., X.S., H.Q., L.F.B.), School of Public Health, University of California, Berkeley; Institute of Environmental Medicine (M.B., A.K.H., L.A.), Karolinska Institutet, Stockholm, Sweden; Kaiser Permanente Division of Research (L.S., C.S., L.F.B.), Research Program on Genes, Environment, and Health (C.S.), Kaiser Permanente, Oakland, CA; Department of Clinical Neuroscience and Center for Molecular Medicine (J.L., A.G., T.O., J.H., I.K.), Karolinska Institutet at Karolinska University Hospital, Stockholm, Sweden; Department of Epidemiology and Biostatistics (M.M.G.), University of California, San Francisco; and Centre for Occupational and Environmental Medicine (L.A.), Stockholm County Council, Sweden
| | - Lisa F Barcellos
- Computational Biology Graduate Group (B.R.), Division of Epidemiology (M.G., A.M., X.S., H.Q., L.F.B.), School of Public Health, University of California, Berkeley; Institute of Environmental Medicine (M.B., A.K.H., L.A.), Karolinska Institutet, Stockholm, Sweden; Kaiser Permanente Division of Research (L.S., C.S., L.F.B.), Research Program on Genes, Environment, and Health (C.S.), Kaiser Permanente, Oakland, CA; Department of Clinical Neuroscience and Center for Molecular Medicine (J.L., A.G., T.O., J.H., I.K.), Karolinska Institutet at Karolinska University Hospital, Stockholm, Sweden; Department of Epidemiology and Biostatistics (M.M.G.), University of California, San Francisco; and Centre for Occupational and Environmental Medicine (L.A.), Stockholm County Council, Sweden
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35
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George MF, Briggs FBS, Shao X, Gianfrancesco MA, Kockum I, Harbo HF, Celius EG, Bos SD, Hedström A, Shen L, Bernstein A, Alfredsson L, Hillert J, Olsson T, Patsopoulos NA, De Jager PL, Oturai AB, Søndergaard HB, Sellebjerg F, Sorensen PS, Gomez R, Caillier SJ, Cree BAC, Oksenberg JR, Hauser SL, D'Alfonso S, Leone MA, Martinelli Boneschi F, Sorosina M, van der Mei I, Taylor BV, Zhou Y, Schaefer C, Barcellos LF. Multiple sclerosis risk loci and disease severity in 7,125 individuals from 10 studies. Neurol Genet 2016; 2:e87. [PMID: 27540591 PMCID: PMC4974846 DOI: 10.1212/nxg.0000000000000087] [Citation(s) in RCA: 60] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2015] [Accepted: 06/16/2016] [Indexed: 12/29/2022]
Abstract
OBJECTIVE We investigated the association between 52 risk variants identified through genome-wide association studies and disease severity in multiple sclerosis (MS). METHODS Ten unique MS case data sets were analyzed. The Multiple Sclerosis Severity Score (MSSS) was calculated using the Expanded Disability Status Scale at study entry and disease duration. MSSS was considered as a continuous variable and as 2 dichotomous variables (median and extreme ends; MSSS of ≤5 vs >5 and MSSS of <2.5 vs ≥7.5, respectively). Single nucleotide polymorphisms (SNPs) were examined individually and as both combined weighted genetic risk score (wGRS) and unweighted genetic risk score (GRS) for association with disease severity. Random-effects meta-analyses were conducted and adjusted for cohort, sex, age at onset, and HLA-DRB1*15:01. RESULTS A total of 7,125 MS cases were analyzed. The wGRS and GRS were not strongly associated with disease severity after accounting for cohort, sex, age at onset, and HLA-DRB1*15:01. After restricting analyses to cases with disease duration ≥10 years, associations were null (p value ≥0.05). No SNP was associated with disease severity after adjusting for multiple testing. CONCLUSIONS The largest meta-analysis of established MS genetic risk variants and disease severity, to date, was performed. Results suggest that the investigated MS genetic risk variants are not associated with MSSS, even after controlling for potential confounders. Further research in large cohorts is needed to identify genetic determinants of disease severity using sensitive clinical and MRI measures, which are critical to understanding disease mechanisms and guiding development of effective treatments.
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Affiliation(s)
| | | | - Xiaorong Shao
- Author affiliations are listed at the end of the article
| | | | - Ingrid Kockum
- Author affiliations are listed at the end of the article
| | - Hanne F Harbo
- Author affiliations are listed at the end of the article
| | | | - Steffan D Bos
- Author affiliations are listed at the end of the article
| | - Anna Hedström
- Author affiliations are listed at the end of the article
| | - Ling Shen
- Author affiliations are listed at the end of the article
| | | | | | - Jan Hillert
- Author affiliations are listed at the end of the article
| | - Tomas Olsson
- Author affiliations are listed at the end of the article
| | | | | | | | | | | | - Per S Sorensen
- Author affiliations are listed at the end of the article
| | - Refujia Gomez
- Author affiliations are listed at the end of the article
| | | | - Bruce A C Cree
- Author affiliations are listed at the end of the article
| | | | | | | | | | | | | | | | - Bruce V Taylor
- Author affiliations are listed at the end of the article
| | - Yuan Zhou
- Author affiliations are listed at the end of the article
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36
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Hedström AK, Mowry EM, Gianfrancesco MA, Shao X, Schaefer CA, Shen L, Olsson T, Barcellos LF, Alfredsson L. High consumption of coffee is associated with decreased multiple sclerosis risk; results from two independent studies. J Neurol Neurosurg Psychiatry 2016; 87:454-60. [PMID: 26940586 PMCID: PMC4853555 DOI: 10.1136/jnnp-2015-312176] [Citation(s) in RCA: 53] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2015] [Accepted: 01/11/2016] [Indexed: 12/30/2022]
Abstract
OBJECTIVE Previous studies on consumption of caffeine and risk of multiple sclerosis (MS) have yielded inconclusive results. We aimed to investigate whether consumption of coffee is associated with risk of MS. METHODS Using two population-representative case-control studies (a Swedish study comprising 1620 cases and 2788 controls, and a US study comprising 1159 cases and 1172 controls), participants with different habits of coffee consumption based on retrospective data collection were compared regarding risk of MS, by calculating ORs with 95% CIs. Logistic regression models were adjusted for a broad range of potential confounding factors. RESULTS Compared with those who reported no coffee consumption, the risk of MS was substantially reduced among those who reported a high consumption of coffee exceeding 900 mL daily (OR 0.70 (95% CI 0.49 to 0.99) in the Swedish study, and OR 0.69 (95% CI 0.50 to 0.96) in the US study). Lower odds of MS with increasing consumption of coffee were observed, regardless of whether coffee consumption at disease onset or 5 or 10 years prior to disease onset was considered. CONCLUSIONS In accordance with studies in animal models of MS, high consumption of coffee may decrease the risk of developing MS. Caffeine, one component of coffee, has neuroprotective properties, and has been shown to suppress the production of proinflammatory cytokines, which may be mechanisms underlying the observed association. However, further investigations are needed to determine whether exposure to caffeine underlies the observed association and, if so, to evaluate its mechanisms of action.
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Affiliation(s)
- A K Hedström
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - E M Mowry
- Department of Neurology, Johns Hopkins University, Baltimore, Maryland, USA
| | - M A Gianfrancesco
- Division of Epidemiology, Genetic Epidemiology and Genomics Lab, School of Public Health, University of California, Berkeley, California, USA
| | - X Shao
- Division of Epidemiology, Genetic Epidemiology and Genomics Lab, School of Public Health, University of California, Berkeley, California, USA
| | - C A Schaefer
- Kaiser Permanente Division of Research, Oakland, California, USA
| | - L Shen
- Kaiser Permanente Division of Research, Oakland, California, USA
| | - T Olsson
- Neuroimmunology Unit, Department of Clinical Neuroscience and Center for Molecular Medicine, Karolinska Institutet at Karolinska University Hospital, Solna, Sweden
| | - L F Barcellos
- Division of Epidemiology, Genetic Epidemiology and Genomics Lab, School of Public Health, University of California, Berkeley, California, USA
| | - L Alfredsson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
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37
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Bjørnevik K, Riise T, Cortese M, Holmøy T, Kampman MT, Magalhaes S, Myhr KM, Wolfson C, Pugliatti M. Level of education and multiple sclerosis risk after adjustment for known risk factors: The EnvIMS study. Mult Scler 2016; 22:104-11. [PMID: 26014605 PMCID: PMC4702243 DOI: 10.1177/1352458515579444] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2014] [Revised: 02/20/2015] [Accepted: 03/03/2015] [Indexed: 01/21/2023]
Abstract
BACKGROUND Several recent studies have found a higher risk of multiple sclerosis (MS) among people with a low level of education. This has been suggested to reflect an effect of smoking and lower vitamin D status in the social class associated with lower levels of education. OBJECTIVE The objective of this paper is to investigate the association between level of education and MS risk adjusting for the known risk factors smoking, infectious mononucleosis, indicators of vitamin D levels and body size. METHODS Within the case-control study on Environmental Factors In MS (EnvIMS), 953 MS patients and 1717 healthy controls from Norway reported educational level and history of exposure to putative environmental risk factors. RESULTS Higher level of education were associated with decreased MS risk (p trend = 0.001) with an OR of 0.53 (95% CI 0.41-0.68) when comparing those with the highest and lowest level of education. This association was only moderately reduced after adjusting for known risk factors (OR 0.61, 95% CI 0.44-0.83). The estimates remained similar when cases with disease onset before age 28 were excluded. CONCLUSION These findings suggest that factors related to lower socioeconomic status other than established risk factors are associated with MS risk.
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Affiliation(s)
- Kjetil Bjørnevik
- Department of Global Public Health and Primary Care, University of Bergen, Norway/The Norwegian Multiple Sclerosis Competence Center, Department of Neurology, Haukeland University Hospital, Norway
| | - Trond Riise
- Department of Global Public Health and Primary Care, University of Bergen, Norway/The Norwegian Multiple Sclerosis Competence Center, Department of Neurology, Haukeland University Hospital, Norway
| | - Marianna Cortese
- The Norwegian Multiple Sclerosis Competence Center, Department of Neurology, Haukeland University Hospital, Norway/The KG Jebsen Centre for MS-Research, Department of Clinical Medicine, University of Bergen, Norway
| | - Trygve Holmøy
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Norway/Department of Neurology, Akershus University Hospital, Norway
| | - Margitta T Kampman
- Department of Clinical Neurology, University of Tromsø, Norway/Centre for Clinical Research and Education, University Hospital of North Norway, Norway
| | - Sandra Magalhaes
- Department of Epidemiology and Biostatistics and Occupational Health, McGill University, Canada
| | - Kjell-Morten Myhr
- The Norwegian Multiple Sclerosis Competence Center, Department of Neurology, Haukeland University Hospital, Norway/The KG Jebsen Centre for MS-Research, Department of Clinical Medicine, University of Bergen, Norway
| | - Christina Wolfson
- Department of Epidemiology and Biostatistics and Occupational Health, McGill University, Canada/Research Institute of the McGill University Health Centre, Canada
| | - Maura Pugliatti
- Department of Global Public Health and Primary Care, University of Bergen, Norway/Department of Clinical and Experimental Medicine, University of Sassari, Italy/Division of Medicine, McGill University, Canada
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38
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Briggs FB, Green MC, Ritterman Weintraub ML. Role of socioeconomic position in multiple sclerosis etiology. Neurodegener Dis Manag 2015; 5:333-43. [DOI: 10.2217/nmt.15.22] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
Multiple sclerosis (MS) is a debilitating autoimmune disease with a prominent inflammatory component. There have been strides identifying genetic and environmental MS risk factors, though much of the disease risk remains unknown. Recent large observational studies suggest adverse socioeconomic position increases the risk for MS, however the mediating biological processes are not understood. We hypothesize a prominent role for stress response, both the autonomic nervous system and the hypothalamic–pituitary–adrenal axis, which become maladaptive under frequent or chronic stimulation resulting in a proinflammatory phenotype. Thus, adverse SEP and chronic stress may predispose individuals for MS.
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Affiliation(s)
- Farren B Briggs
- Department of Epidemiology & Biostatistics, School of Medicine, Case Western Reserve University, Cleveland, OH 44106-4945, USA
| | - Matthew C Green
- Department of Public Health, Touro University California, CA 94592, USA
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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; 22:1131-7. [PMID: 25919640 PMCID: PMC4975688 DOI: 10.1111/ene.12718] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2014] [Accepted: 02/26/2015] [Indexed: 02/01/2023]
Abstract
Background and purpose Associations with multiple sclerosis (MS) of living conditions in childhood and characteristics in adolescence including physical fitness, cognitive function and psychological stress resilience were investigated. Methods A cohort of male Swedish residents born 1952–1956 who were included in the Swedish Military Conscription Register was used to create a nested case−control study comprising 628 MS cases and 6187 controls matched on birth year, county of residence and vital status at time of diagnosis. Conscription examination records were linked with other national register data. Conditional logistic regression was used to evaluate associations with MS subsequent to the conscription examination. Results and conclusions Men with MS were less likely to be from more crowded households in childhood (>two persons per room) with an adjusted odds ratio of 0.67 (95% confidence interval 0.51–0.86, P = 0.023). They had lower physical working capacity in adolescence with adjusted odds ratio of 0.94 (95% confidence interval 0.89–0.99, P = 0.026). Cognitive function and stress resilience scores displayed no significant differences between cases and controls. Parental occupation in childhood and body mass index in adolescence were not associated with future MS risk. The inverse association of MS risk with higher levels of household crowding may reflect environmental factors such as the pattern of exposure to microorganisms. Lower physical fitness in men at MS risk may indicate a protective effect of exercise or could be due to prodromal disease activity, although there was no association with cognitive function. Poor psychological stress resilience (and thus risk of chronic stress arousal) was not associated with MS.
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Affiliation(s)
- M Gunnarsson
- Department of Neurology and Neurophysiology, Faculty of Medicine and Health, Örebro University, Örebro, Sweden
| | - R Udumyan
- Department of Clinical Epidemiology and Biostatistics, Faculty of Medicine and Health, Örebro University, Örebro, Sweden
| | - S Bahmanyar
- Clinical Epidemiology Unit and Centre for Pharmacoepidemiology, Department of Medicine, Karolinska Institutet, Karolinska Hospital, Stockholm, Sweden.,Faculty of Medicine, Golestan University of Medical Sciences, Gorgan, Iran
| | - Y Nilsagård
- Faculty of Medicine and Health, Medicine, Örebro University, Örebro, Sweden
| | - S Montgomery
- Department of Clinical Epidemiology and Biostatistics, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.,Clinical Epidemiology Unit, Department of Medicine, Karolinska University Hospital, Karolinska Institutet, Stockholm, Sweden.,Research Department of Epidemiology and Public Health, University College, London, UK
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Goulden R, Ibrahim T, Wolfson C. Is high socioeconomic status a risk factor for multiple sclerosis? A systematic review. Eur J Neurol 2014; 22:899-911. [DOI: 10.1111/ene.12586] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2014] [Accepted: 08/29/2014] [Indexed: 11/27/2022]
Affiliation(s)
- R. Goulden
- Department of Epidemiology, Biostatistics and Occupational Health; McGill University; Montreal QC Canada
- Newcastle Medical School; Newcastle University; Newcastle UK
| | - T. Ibrahim
- Department of Medicine; McGill University; Montreal QC Canada
| | - C. Wolfson
- Department of Epidemiology, Biostatistics and Occupational Health; McGill University; Montreal QC Canada
- Department of Medicine; McGill University; Montreal QC Canada
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