The Relationship Between Migraine or Severe Headache and Chronic Health Conditions: A Cross-Sectional Study from the National Health Interview Survey 2013-2015

Epidemiological linkage between migraine and diabetes mellitus: a systematic review and meta-analysis

BACKGROUND

This study aimed to elucidate the nature and extent of the associations between diabetes mellitus (DM) and migraine through a systematic review and meta-analysis.

METHODS

We searched the PubMed, Web of Science, and Scopus databases without a specified start date until June 2, 2024. Cross-sectional and cohort studies analyzing the risk of migraine in individuals with DM and vice versa were included. Studies without at least age and sex adjustments were excluded. Data were extracted to calculate odds ratios (ORs) and hazard ratios (HRs). Risk of bias was assessed using the Newcastle-Ottawa Quality Assessment Scale.

RESULTS

Eight cross-sectional studies (131,361 patients with DM and 1,005,604 patients with migraine) and four cohort studies (103,205 patients with DM patients and 32,197 patients with migraine) were included. Meta-analyses of the cross-sectional studies showed no significant overall association between DM and migraine. Subgroup analyses revealed that type 1 diabetes reduced the odds of having migraine (OR 0.48, 95% confidence interval [CI] 0.30-0.77), while migraine without aura (MO) increased the odds of having DM (OR 1.19, 95% CI 1.02-1.39). The cohort studies indicated that DM decreased the risk of developing migraine (HR 0.83, 95% CI 0.76-0.90), and a history of migraine increased the risk of developing DM (HR 1.09, 95% CI 1.01-1.17).

CONCLUSIONS

DM, particularly type 1 diabetes, is negatively associated with migraine occurrence, whereas migraine, especially MO, is positively associated with DM occurrence. However, most of the results remained at a low or very low level of evidence, indicating the need for further research.

Misuse of multinomial logistic regression in stroke related health research: A systematic review of methodology

Multinomial logistic regression (MLR) is often used to model the association between a nominal outcome variable and one or more covariates. The results of MLR are interpreted as relative risk ratios (RRR) and warrant a more coherent interpretation than ordinary logistic regression. Some authors compare the results of MLR to ordinal logistic regression (OLR), irrespective of the fact that these estimate different quantities. We aim to investigate the time trends in the use and misuse of MLR in studies including stroke patients, specifically the extent to which (1) the results are denoted as anything other than RRR, (2) comparisons are made of results with results of OLR and (3) results have been interpreted coherently. Secondarily, we examine the use of model validation techniques in studies with predictive aims. We searched EMBASE and PubMed for articles using MLR on populations of stroke patients. Identified studies were screened, and information pertaining to our aims was extracted. A total of 285 articles were identified through a systematic literature search, and 68 of these were included in the review. Of these, 60 articles (88%) did not denote exponentiated coefficients of MLR as relative risk ratios but rather some other measure. Additionally, 63 articles (93%) interpreted the results of MLR in a non-coherent manner. Two articles attempted to compare MLR results with those of OLR. Nine studies attempted to use MLR for predictive means, and three used relevant validation techniques. From these findings, it is clear that the interpretation of MLR is often suboptimal.

COPD is Associated with Higher Prevalence of Back Pain: Results of a Population-Based Case-Control Study, 2017

Objective

We aimed to assess whether patients suffering from COPD have a higher prevalence of chronic back pain (neck and low back pain) than age-, sex-, and residence-matched non-COPD controls. We also aimed to identify which variables are associated with chronic neck pain (CNP) and chronic low back pain (CLBP) among COPD patients.

Methods

We carried out a retrospective case-control study using data obtained from the Spanish National Health Survey conducted in 2017.

Results

We analyzed data from 1034 COPD and 1034 matched non-COPD controls. The prevalence of CNP and CLBP was 38.20% and 45.16%, respectively, among COPD patients and 22.82% and 28.34% for non-COPD controls, respectively (p<0.001 for both). Multivariable analysis showed that COPD patients had a 1.62-fold (95% CI 1.50-1.74) higher risk of CNP and a 1.83-fold (95% CI 1.73-1.91) higher risk of CLBP than non-COPD controls. Experiencing one type of pain greatly increased the risk of having the other. Factors associated with the presence of both types of pain among COPD patients included female sex, "fair/poor/very poor" self-rated health, migraine or frequent headache and use of pain medication. Being aged from 70 to 79 years was a risk factor for CLBP, and suffering from a mental disorder was a risk factor for CNP.

Conclusion

The prevalence of CNP and CLBP was significantly higher among COPD patients than among non-COPD controls after adjusting for age, sex and other relevant clinical variables. Our findings add new data to the knowledge of chronic pain in COPD patients.