Years were those in which information on migraine questions was recorded on self-reported questionnaires.
The graph shows a secondary analysis of data from 1992 to 2014 on 4371 women with type 2 diabetes in the E3N Cohort Study. The prevalences of migraine and their 95% CIs have been estimated from a generalized estimating equations model from 24 years prior to 22 years after type 2 diabetes diagnosis. Year 0 is the date of type 2 diagnosis. Models were adjusted for age, level of education, family history of diabetes, body mass index, smoking status, hypertension, level of recreational physical activity, use of oral contraceptives, menopausal status, menopausal hormone therapy use, and handedness.
Customize your JAMA Network experience by selecting one or more topics from the list below.
Fagherazzi G, El Fatouhi D, Fournier A, et al. Associations Between Migraine and Type 2 Diabetes in Women: Findings From the E3N Cohort Study. JAMA Neurol. 2019;76(3):257–263. doi:10.1001/jamaneurol.2018.3960
Is there an association between migraine and type 2 diabetes in women?
In this study of 74 247 women in a French national cohort, a lower risk of type 2 diabetes was observed in women with active migraine. We also found a linear decrease of migraine prevalence long before and a plateau long after type 2 diabetes diagnosis.
These results may suggest a potential role of both hyperglycemia and hyperinsulinism on migraine occurrence.
Little is known about the associations between migraine and type 2 diabetes and the temporality of the association between these 2 diseases.
To evaluate the association between migraine and type 2 diabetes incidence as well as the evolution of the prevalence of active migraine before and after type 2 diabetes diagnosis.
Design, Setting, and Participants
We used data from the E3N cohort study, a French prospective population-based study initiated in 1990 on a cohort of women born between 1925 and 1950. The E3N study participants are insured by a health insurance plan that mostly covers teachers. From the eligible women in the E3N study, we included those who completed the 2002 follow-up questionnaire with information available on migraine. We then excluded prevalent cases of type 2 diabetes, leaving a final sample of women who were followed up between 2004 and 2014. All potential occurrences of type 2 diabetes were identified through a drug reimbursement database. Statistical analyses were performed in March 2018.
Self-reported migraine occurrence.
Main Outcomes and Measures
Pharmacologically treated type 2 diabetes.
From the 98 995 women in the study, 76 403 women completed the 2002 follow-up survey. Of these, 2156 were excluded because they had type 2 diabetes, leaving 74 247 women. Participants had a mean (SD) age of 61 (6) years at baseline, and all were free of type 2 diabetes. During 10 years of follow-up, 2372 incident type 2 diabetes cases occurred. A lower risk of type 2 diabetes was observed for women with active migraine compared with women with no migraine history (univariate hazard ratio, 0.80 [95% CI, 0.67-0.96], multivariable-adjusted hazard ratio, 0.70 [95% CI, 0.58-0.85]). We also observed a linear decrease in active migraine prevalence from 22% (95% CI, 16%-27%) to 11% (95% CI, 10%-12%) during the 24 years prior to diabetes diagnosis, after adjustment for potential type 2 diabetes risk factors. A plateau of migraine prevalence around 11% was then observed for 22 years after diagnosis.
Conclusions and Relevance
We observed a lower risk of developing type 2 diabetes for women with active migraine and a decrease in active migraine prevalence prior to diabetes diagnosis. Further targeted research should focus on understanding the mechanisms involved in explaining these findings.
Quiz Ref IDMigraine is an intermittent painful neurologic headache disorder with an estimated 1-year prevalence of 15% to 18%1-5; it has been shown to be more common in women of reproductive age, with a declining prevalence after menopause.6,7 Previous work has shown that migraine, and especially migraine with aura, is associated with hyperlipidemia, hypertension, and an elevated Framingham Risk Score for coronary heart disease.8-10 Migraine has further been associated with increased risk of overall and specific cardiovascular disease events.11-15 Because migraine has also been associated with factors associated with insulin resistance and type 2 diabetes, an association between migraine and diabetes has been hypothesized. However, to our knowledge, data are scarce. Some previous articles have suggested an association between polymorphisms in the insulin receptor gene and migraine,16 impaired insulin sensitivity in individuals with migraine,17 and possibly elevated blood glucose and insulin levels in people with headaches,18 whereas others have shown that the frequency of migraine increased with body mass index,19 a major risk factor for type 2 diabetes. Indeed, it has been previously reported20 that chronic daily headache was increased in adults with obesity and the prevalence of episodic headaches may be increased in adults with obesity who are of reproductive age. However, despite the high prevalence of both diseases, the association between migraine and type 2 diabetes is still unclear.
Results from a population-based study in Norway have shown that people with type 1 or type 2 diabetes had a lower risk of migraine compared with the general population.21 Data from the Women’s Health Study did not find associations between migraine and incident diabetes.22 Moreover, little is known about the temporality of the potential association between migraine and type 2 diabetes.
Therefore, we aimed to evaluate the associations between migraine and the risk of developing type 2 diabetes in the prospective E3N cohort study. We also aimed to determine how the likelihood of migraine changed in association with incidence of type 2 diabetes.
Quiz Ref IDThe Etude Epidémiologique Auprès des Femmes de la Mutuelle Générale de l’Education Nationale (E3N) study is a French prospective cohort study, initiated in 1990, of 98 995 women born between 1925 and 1950.23 The E3N study participants are insured by a health insurance plan that mostly covers teachers. The E3N study is the French component of the European Prospective Investigation into Cancer and Nutrition (EPIC) and is part of EPIC-InterAct, a case-cohort study on type 2 diabetes nested within EPIC.24 Participants have completed self-administered questionnaires that have been sent biennially since 1990. The mean response rate to a follow-up questionnaire is 83%, with a total loss to follow-up since 1990 of less than 3%. Furthermore, for each cohort member, the health insurance plan provided data that included all outpatient reimbursements for health expenditure since January 1, 2004; these data included brand names, dosages, and dates of drug purchases.
The study was approved by the French National Commission for Data Protection and Privacy (ClinicalTrials.gov identifier: NCT03285230). All participants gave their written informed consent.
Follow-up surveying for this study started on April 1, 2004. Participants contributed person-years of follow-up until the date of diagnosis of type 2 diabetes, the date of the last completed questionnaire, or November 17, 2014 (the date at which the last E3N questionnaire used for this study was sent to participants), whichever occurred first. From the women in the E3N study, we included women who completed the 2002 follow-up questionnaire with information available on migraine. We then excluded prevalent cases of type 2 diabetes to define the final sample for this study.
Information on migraine episodes was asked in the questionnaires sent in 1992, 1993, 1995, 1997, 2000, 2002, 2005, and 2011 (Figure 1), similar to what has been done in other studies.14 We have been able to use all of this information to update the exposure at each questionnaire with 3 main categories: (1) no migraine history; (2) active migraine (ie, all women who self-reported migraine on the current questionnaire cycle); and (3) prior migraine (ie, women who reported experiencing migraine in at least 1 of the past questionnaires but not on the current questionnaire). Information on the presence of aura was unavailable.
We also controlled for the use of drugs frequently prescribed for migraine. These drugs were identified through the drug reimbursement database. We considered all reimbursements of drugs since April 1, 2004, corresponding to the World Health Organization Anatomical Therapeutic Chemical codes N02C (antimigraine preparations), M01A (nonsteroidal anti-inflammatory drugs and antirheumatic products), N02B (other analgesics and antipyretics), N03A (antiepileptics), N07C (antivertigo preparations), and C07 (β-blocking agents). Exposures to both antimigraine preparations and other drugs potentially used to treat migraine were updated continuously between 2004 and 2014.
We defined cases of type 2 diabetes if a participating woman was pharmacologically treated with type 2 diabetes–specific medicationsQuiz Ref ID. All potential type 2 diabetes occurrences were identified through the drug reimbursement database: women reimbursed at least twice for glucose-lowering medications within a sliding period of 1 year were classified as having type 2 diabetes, with the date of diagnosis defined as the date of first reimbursement.25
Baseline characteristics of the study population were described in the overall population and according to migraine history. We used Cox proportional hazards regression models with age as the time scale to estimate hazard ratios (HRs) and 95% CIs to evaluate the association of migraine and the risk of type 2 diabetes. Migraine was considered as a time-dependent variable in the Cox proportional hazards regression models and categorized as (1) no migraine history, (2) prior migraine, or (3) active migraine. During the follow-up surveys, we had 4% missing data on migraine in 2005 and 5% missing data in 2011. If data on migraine were missing, we used the last known data available (last observation carried forward method). Models were univariate and then further adjusted for a list of established type 2 diabetes risk factors or variables leading to potential confounding: level of education (undergraduate or less, graduate, postgraduate or more; at baseline), level of recreational physical activity (metabolic equivalent task–hours per week, as a continuous variable; at baseline), body mass index (calculated as weight in kilograms divided by height in meters squared; <20, 20-25, 25-30, ≥30; time dependent), smoking status (nonsmoker, former smoker, or current smoker; time dependent), history of hypertension (no or yes; time dependent), menopausal status (premenopausal or postmenopausal; time dependent), menopausal hormone therapy use (never or ever; time dependent), use of oral contraceptives (never or ever; time dependent), family history of diabetes (no, yes, or unknown; at baseline), handedness (right-handed, left-handed, mixed, or unknown; at baseline),26 use of antimigraine preparations (current, past, or never; time dependent), and use of drugs other than antimigraine preparations frequently prescribed for migraine (current, past, or never; time dependent).
In a secondary analysis of women who developed type 2 diabetes during the follow-up period, we investigated the evolution of the prevalence of active migraine with respect to the date of type 2 diabetes diagnosis. To do so, we analyzed 4371 women with type 2 diabetes cases that occurred between 1992 and 2014. Analyses were based on a possible 46-year window (from 24 years prior to the diagnosis to 22 years after) with year 0 as the year of diagnosis of type 2 diabetes. We used a repeated-measures logistic regression analysis by the generalized estimating equations method, with an autoregressive correlation structure.27 The method takes the intraindividual correlation between measurements into account and is robust to missing values. To plot the trajectory of self-reported migraine episodes in association with the years before diabetes diagnosis, odds ratios (ORs) and their 95% CIs were estimated each year and then converted into proportions. As for the Cox models, this model was adjusted for age, level of education, family history of diabetes, body mass index, smoking status, hypertension, level of recreational physical activity, use of oral contraceptives, menopausal status, menopausal hormone therapy use, and handedness.
All statistical analyses used SAS version 9.4 (SAS Institute Inc) with the PHREG procedure used for Cox models and the GENMOD procedure for repeated-measures logistic regression. Missing values were less than 5% for all variables and were imputed with the median (quantitative variables) or the mode (qualitative variables) of the study population. All statistical tests were 2-sided, and we considered a P value less than .05 statistically significant. Figure 1 was plotted with the statistical software R version 3.1.0 (Free Software Foundation). Data analysis was completed in March 2018.
From a total of 98 995 women in the E3N study, 76 403 had provided the requisite data and were included. Another 2156 were excluded because of type 2 diabetes diagnoses at baseline, leaving 74 247 women in the study analysis. Participants had a mean (SD) age of 61 (6) years on average at baseline. A total of 2372 participants experienced incident cases of type 2 diabetes between 2004 and 2014.
When compared with women with no migraine history (Table 1), women who reported active migraine were younger (mean [SD] age: women with no migraine history, 61.8  years; women with active migraine, 59.9  years), had a lower level of physical activity (mean [SD] metabolic equivalent task–hours per week, 25.05  vs 23.16 ), were more likely to have a family history of diabetes (5598 of 49 199 [11.4%] vs 964 of 7839 [12.3%]), were more likely to use oral contraceptives (29 142 of 49 199 [59.2%] vs 5167 of 7839 [65.9%]), were more likely to have a body mass index less than 20(5907 of 49 199 [12.0%] vs 1092 of 7839 [13.9%]), and were more likely to be former smokers (17 359 of 49 199 [35.6%] vs 3086 of 7839 [39.4%]). Compared with women with no migraine history, women with prior migraine were younger (mean [SD] age: women with no history of migraine, 61.8  years; women with prior migraine, 60.9  years) and were more likely to have a family history of diabetes (5598 of 49 199 [11.4%] vs 2133 of 17 209 [12.4%]), have a history of hypertension (22 114 of 49 199 [44.9%] vs 8921 of 17 209 [51.8%]), use oral contraceptives (29 142 of 49 199 [59.2%] vs 10 945 of 17 209 [63.6%]), be overweight (11 621 of 49 199 [23.6%] vs 4218 of 17 209 [24.5%]), and have never smoked (26 721 of 49 199 [54.3%] vs 1595 of 17 209 [9.3%]).
There was no difference in the baseline distribution of handedness with respect to migraine self-report. However, we found that women with a mixed or ambidextrous handedness were at increased risk of self-reporting migraine during the follow-up period (2004-2014) compared with right-handed women (OR, 1.13 [95% CI, 1.02-1.24]), whereas left-handed women were not (OR, 1.01 [95% CI, 0.88-1.16]).
Between 2004 and 2014, a total of 2372 women developed type 2 diabetes (Table 2). In univariate models, we observed a lower risk of incident type 2 diabetes in women with active migraine (HR, 0.80 [95% CI, 0.60-0.96]) than in women with no migraine history. The magnitude of this association increased in multivariable-adjusted models (HR, 0.70 [95% CI, 0.58-0.85]). Prior migraine was not associated with the risk of type 2 diabetes both in univariate models (HR, 1.16 [95% CI, 1.06-1.27]) and multivariable-adjusted models (HR, 1.07 [95% CI, 0.98-1.17]).
There was a clear linear decrease in the 2-year prevalence of active migraine from 24 years before diagnosis (22% [95% CI, 16%-27%]; Figure 2) to the date of diagnosis (11% [95% CI, 10%-12%]). After type 2 diabetes diagnosis, there was a plateau in the prevalence of active migraine (10% to 11%) that persisted up to 22 years after diagnosis. The magnitudes of the estimates were not sensitive to adjustment for time-varying covariates.
Quiz Ref IDBased on data from this large prospective cohort of women, we report an inverse association between active migraine and type 2 diabetes incidence. Women with active migraine had an approximate 30% decrease in the risk of developing diabetes. We found a clear linear decrease in the prevalence of active migraine prior to type 2 diabetes diagnosis and a stagnation of migraine prevalence after diagnosis of diabetes.
Despite the high prevalence of both diseases, to our knowledge, little is known about the association of migraine with type 2 diabetes at a population level. Migraine has been associated with factors that are implicated in diabetes; some previous publications have suggested an association between polymorphisms in the insulin receptor gene and migraine,16 an impaired insulin sensitivity in individuals with migraine,17 and possible elevations in blood glucose and insulin levels in people with headaches,18 whereas a cross-sectional study on 27 people19 showed that the frequency of migraine was high in individuals with obesity, a major risk factor for type 2 diabetes. A review20 published in 2010 summarizing 3 prospective cohort studies reported that, in both sexes, chronic daily headache was increased in adults with obesity and the prevalence of episodic headaches may also be increased in adults of reproductive age with obesity.
It has been proposed that a trigger for migraine could be nutritional, hormonal, or metabolic in some individuals. An association between polymorphisms in the insulin receptor gene and migraine has been shown.16 An elevation in free fatty acid plasma concentration and ketone bodies has also been reported before a migraine attack.28 Therefore, fasting could promote the development of migraine, mostly by favoring hypoglycemia and increased ketone bodies production.29 Hypoglycemia has long been known to be a precipitating factor in migraine onset.30 These biological factors could therefore explain an inverse association between migraine and type 2 diabetes risk. They could also support our observed decreased prevalence of migraine in the years before type 2 diabetes diagnosis, when there is usually a progressively increasing hyperglycemic state. Increased secretion of insulin after intake of carbohydrate and sucrose-rich meals may promote the occurrence of reactive hypoglycemia in some people, which may trigger migraine.31 In this regard, 1 study32 reported a higher level of plasma insulin in women with migraine compared with control participants.
Quiz Ref IDIn addition, other mechanisms may be involved: calcitonin gene-related peptide (CGRP), a neuropeptide expressed in sensory nerves, which seems to play an important role in migraine pathophysiology,33 is also associated with glucose metabolism. It has been reported34 that rats with experimentally induced diabetes have a decreased density of CGRP sensory nerve fibers.
In addition, CGRP is a well-established potent vasodilator and has a vascular protective role. In animal models, diabetic impairment of sensory nerves with reduced expression of CGRP has been reported.35 We may speculate that the vasodilation and the nociceptive effects induced by CGRP are impaired after diabetes appears, which may explain the reduced prevalence of active migraine. However, we cannot exclude that a factor associated with migraine pathophysiology may modulate glucose metabolism and have an influence on the appearance of hyperglycemia. The association between CGRP and glucose homeostasis is complex and bidirectional. Studies conducted predominantly in rats with obesity and type 2 diabetes have shown that infusion of pharmacological doses of CGRP induces insulin resistance and decreases peripheral glucose clearance.36,37 Altogether, these findings underscore potential associations between CGRP, migraine pathophysiology, and glucose metabolism.38
In a community-based case-control study39 including 1832 participants in China, authors reported increased insulin resistance in individuals with both migraine and prediabetes and an inverse association between type 2 diabetes and migraine. This also is in line with our findings.
This study has numerous strengths. We evaluated the associations between migraine and type 2 diabetes, updating information of migraine and many covariates during the follow-up period. The prospective design reduces a differential bias in the reporting of migraine episodes associated with the incident type 2 diabetes. The large number of participants and type 2 diabetes cases ensured a high statistical power. Incident cases were identified from an extensive medico-administrative database, which reduced the risk of missing or false-positive cases. The long follow-up time, updated information on migraine, and statistical methodology enabled us to study the evolution of migraine 2-year prevalence from long before type 2 diabetes diagnosis to long after diagnosis, with a possible window of observation of 46 years.
This study has also some limitations. Migraine was self-reported, and information on the presence of migraine aura was not available. However, the repeated questionnaires over time and the medico-administrative database on drug reimbursements allowed us to isolate associations with both active and prior migraine episodes from associations with antimigraine preparations. However, no information on self-medication was available in this study.
Type 2 diabetes cases who were not treated pharmacologically were considered as noncases, which could have reduced the magnitude of the observed associations between migraine and type 2 diabetes. However, we believe that this would have a minor influence on the results.
The E3N cohort is not representative of the general French population because it includes rather homogeneous, health-conscious women. In addition, we have analyzed mainly women in postmenopause. Although this might reduce the variability of certain characteristics and the possibility to extrapolate to the general population and premenopausal women, it should not bias the estimates. Finally, even though we controlled for most established type 2 diabetes risk factors, potential residual and unmeasurable confounding cannot be ruled out completely because this study is observational.
Both migraine and type 2 diabetes are highly prevalent diseases. Therefore, these results can have substantial implications on the understanding of mechanisms underlying these 2 conditions. Because plasma glucose concentration rises with time up to the point of type 2 diabetes occurrence, the prevalence of migraine symptoms may decrease. Consequently, tracking the evolution and especially the decrease of migraine frequency in individuals with migraine at high risk of diabetes, such as individuals with obesity, irrespective of age could be the sign of an emerging increased blood glucose levels, prediabetes, or type 2 diabetes.
We observed a lower risk of type 2 diabetes in women with active migraine. The linear decrease of migraine prevalence long before and the plateau long after type 2 diabetes diagnosis is novel and the association deserves to be studied in other populations. The potential beneficial role of both hyperglycemia and hyperinsulinism on migraine occurrence needs to be further explored.
Corresponding Author: Guy Fagherazzi, PhD, Center for Research in Epidemiology and Population Health, Institut National de la Santé et de la Recherche Médicale (INSERM) U1018, Generations and Health, Gustave Roussy Institute, 114 rue Edouard Vaillant, Villejuif Cedex 94805, France (email@example.com).
Accepted for Publication: September 14, 2018.
Published Online: December 17, 2018. doi:10.1001/jamaneurol.2018.3960
Author Contributions: Dr Fagherazzi had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.
Concept and design: Fagherazzi, El Fatouhi, Kurth, Bonnet.
Acquisition, analysis, or interpretation of data: Fagherazzi, El Fatouhi, Fournier, Gusto, Mancini, Balkau, Boutron-Ruault.
Drafting of the manuscript: Fagherazzi, El Fatouhi, Bonnet.
Critical revision of the manuscript for important intellectual content: Fagherazzi, Fournier, Gusto, Mancini, Balkau, Boutron-Ruault, Kurth.
Statistical analysis: Fagherazzi, El Fatouhi, Gusto, Balkau, Kurth.
Obtained funding: Fagherazzi.
Administrative, technical, or material support: El Fatouhi.
Supervision: Boutron-Ruault, Bonnet.
Conflict of Interest Disclosures: Dr Kurth reports having contributed to an advisory board of CoLucid and a research project funded by Amgen, for which the Charité–Universitätmedizin Berlin received compensation; having received honoraria from Lilly for providing methodological advice, from Novartis and Daiichi Sankyo for providing a lectures on epidemiologic methods, and from BMJ for editorial services; and having received travel support from the International Headache Society for being a member of the board of trustees. No other disclosures were reported.
Funding/Support: The E3N cohort is carried out with the financial support of the “Mutuelle Générale de l'Education Nationale,” European Community, French League against Cancer, Gustave Roussy, and French Institute of Health and Medical Research. This present study was also supported by the French Research Agency (Agence Nationale de la Recherche) via an “Investissement d’Avenir” grant (ANR-10-COHO-0006) that supports the associated E4N study.
Role of the Funder/Sponsor: The funders/sponsors had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
Additional Contributions: We thank all participants for providing the data used in the E3N cohort study.
Create a personal account or sign in to: