Shift work at a young age is associated with increased risk of multiple sclerosis

2012 ◽  
Vol 8 (1) ◽  
pp. 47-48
2011 ◽  
Vol 70 (5) ◽  
pp. 733-741 ◽  
Author(s):  
Anna Karin Hedström ◽  
Torbjörn Åkerstedt ◽  
Jan Hillert ◽  
Tomas Olsson ◽  
Lars Alfredsson

2016 ◽  
Vol 9 ◽  
pp. 104-109 ◽  
Author(s):  
S. Gustavsen ◽  
H.B. Søndergaard ◽  
D.B. Oturai ◽  
B. Laursen ◽  
J.H. Laursen ◽  
...  

2016 ◽  
Author(s):  
Lars Alfredsson ◽  
Anna-Karin Hedström ◽  
Torbjörn Åkerstedt ◽  
Jan Hillert ◽  
Tomas Olsson

2019 ◽  
Vol 76 (10) ◽  
pp. 733-738 ◽  
Author(s):  
Kyriaki Papantoniou ◽  
Jennifer Massa ◽  
Elizabeth Devore ◽  
Kassandra L Munger ◽  
Tanuja Chitnis ◽  
...  

ObjectivesNight shift work has been suggested as a possible risk factor for multiple sclerosis (MS). The objective of the present analysis was to prospectively evaluate the association of rotating night shift work history and MS risk in two female cohorts, the Nurses’ Health Study (NHS) and NHSII.MethodsA total of 83 992 (NHS) and 114 427 (NHSII) women were included in this analysis. We documented 579 (109 in NHS and 470 in NHSII) incident physician-confirmed MS cases (moderate and definite diagnosis), including 407 definite MS cases. The history (cumulative years) of rotating night shifts (≥3 nights/month) was assessed at baseline and updated throughout follow-up. Cox proportional hazards models were used to estimate HRs and 95% CIs for the association between rotating night shift work and MS risk adjusting for potential confounders.ResultsWe observed no association between history of rotating night shift work and MS risk in NHS (1–9 years: HR 1.03, 95% CI 0.69 to 1.54; 10+ years: 1.15, 0.62 to 2.15) and NHSII (1–9 years: HR 0.90, 95% CI 0.74 to 1.09; 10+ years: 1.03, 0.72 to 1.49). In NHSII, rotating night shift work history of 20+ years was significantly associated with MS risk, when restricting to definite MS cases (1–9 years: HR 0.88, 95% CI 0.70 to 1.11; 10–19 years: 0.98, 0.62 to 1.55; 20+ years: 2.62, 1.06 to 6.46).ConclusionsOverall, we found no association between rotating night shift work history and MS risk in these two large cohorts of nurses. In NHSII, shift work history of 20 or more years was associated with an increased risk of definite MS diagnosis.


2015 ◽  
Vol 21 (9) ◽  
pp. 1195-1199 ◽  
Author(s):  
AK Hedström ◽  
T Åkerstedt ◽  
T Olsson ◽  
L Alfredsson

Background: An association between working shift at a young age and subsequent risk for multiple sclerosis (MS) has been observed. Objective: To investigate whether this finding could be replicated, and to further explore the influence of age at first exposure to shift work. Methods: Using a Swedish population-based, case-control study (2337 cases and 4904 controls), the incidence of MS among subjects whom had worked shifts was compared with that of those whom had not, by calculating odds ratios (ORs) with 95% confidence intervals (CIs) by means of logistic regression. Results: The OR of developing MS was 1.5 (95% CI 1.2–1.8) among those whom started working shifts before age 20, whereas a less pronounced association was observed among those whom started working shifts at age 20 or later (OR 1.2; 95% CI 1.1–1.4). The effect of shift work was more pronounced among subjects whom had been exposed at a young age, regardless of the duration between the start of shift work and disease onset. Conclusion: Some aspects of adolescence seem to be of great importance, regarding the impact of shift work on MS risk. Circadian disruption and sleep deprivation may contribute towards explaining the association; however, the exact mechanisms behind our observations remain to be elucidated.


Author(s):  
Klaus Lauer ◽  
Annette Wahl ◽  
Marcel Geilenkeuser

An increased risk of multiple sclerosis (MS) had been found when individuals had consumed large amounts of processed meat and sausages at young age (Lauer, 2014). Furthermore it was found in many studies that MS patients had acquired a number of common childhood infections at higher ages than controls. Therefore, MS patients from an epidemiological long-term investigation in Germany and different hospital controls, were evaluated for a statistical interaction of these two factors. 324 MS patients and 242 hospital controls were inquired. The study focussed on age 0 - 16. Subjects were tested for additive interaction by multiple linear regression analysis (Knol et al., 2007). There was an additive interaction of the age at any common childhood infection with the consumption of scalded sausages (regression estimate = 0.1370; standard error = 0.0603; p = 0.0239). In contrast, no such interaction could be shown for: animal fats; smoked meat (e.g. ham and bacon); and cold - smoked German salami. Thus there was a synergy of the intake of scalded sausages (e.g. frankfurters, bolognas, etc.) and age at common childhood infections, for the later risk of MS.


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
B Weber ◽  
D.W Biery ◽  
A Singh ◽  
S Divakaran ◽  
A.N Berman ◽  
...  

Abstract Background Autoimmune systemic inflammatory diseases are associated with an increased risk of cardiovascular disease, particularly myocardial infarction (MI). However, there are limited data on the prevalence and effects of inflammatory disease among U.S. adults who experience an MI at a young age. Purpose We sought to determine the prevalence and prognostic value of inflammatory disease in U.S. adults who experience an MI at a young age. Methods The YOUNG-MI registry is a retrospective cohort study of consecutive patients who experienced a Type 1 MI at or below the age of 50 years from 2000 to 2016 at two large medical centers. A diagnosis of rheumatoid arthritis (RA), psoriasis (PsO), systemic lupus erythematosus (SLE), or inflammatory arthritis was determined through physician review of electronic medical records (EMR). Demographic information, presence of cardiovascular (CV) risk-factors, medical procedures, and medications upon discharge were also ascertained from the EMR. Incidence of death was determined using a combination of EMR and national databases. Cox proportional hazard modeling was performed on a sub-sample following Mahalanobis Distance matching on age, sex, and CV risk factors. Results The cohort consisted of 2097 individuals (median age 45 years, 19% female, 53% ST-elevation MI). Among these, 53 (2.5%) individuals possessed a diagnosis of systemic inflammatory disease at or before their index MI (23% SLE, 9% RA, 64% PsO, 4% inflammatory arthritis). When compared to the remainder of the cohort, patients with a diagnosis of systemic inflammatory disease were more likely to be female (36% vs 19%, p=0.004) and be diagnosed with hypertension (62% vs 46%, p=0.025). There was, however, no significant difference in the prevalence of other CV risk factors – diabetes, smoking, dyslipidemia – or a family history of premature coronary artery disease. Despite these similarities, patients with inflammatory disease were less likely to be prescribed aspirin (88% vs 95%, p=0.049) or a statin (76% vs 89%, p=0.008) upon discharge. Over a median follow-up of 11.2 years, patients with inflammatory disease experienced an increased risk of all-cause mortality when compared with the full-cohort (Figure). Compared to the matched sample (n=138), patients with systemic inflammatory disease exhibited an increased risk of all-cause mortality (HR=2.68, CI [1.18 to 6.07], p=0.018), which remained significant after multivariable adjustment for length of stay and GFR (HR=2.38, CI [1.02 to 5.54], p=0.045). Conclusions Among individuals who experienced an MI at a young age, approximately 2.5% had evidence of a systemic inflammatory disease at or before their MI. When compared with a population of individuals with similar cardiovascular risk profiles, those with inflammatory disease had higher rates of all-cause mortality. Our findings suggest that the presence of a systemic inflammatory disorder is independently associated with worse long-term outcomes. Funding Acknowledgement Type of funding source: Public grant(s) – National budget only. Main funding source(s): 1. 5T32 HL094301 NIH T32 Training Grant, “Noninvasive Cardiovascular Imaging Research Training Program”


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