Evidence Hub

Analysis of the center of pressure variables in women with migraine does not reflect differences in balance: A cross-sectional study

Imaz F, Barone M, Lassaga I, Davidow L, Mainella C, Intelangelo L

Journal of bodywork and movement therapies, 2024

1 citation

Abstract

INTRODUCTION

Migraine is a neurological disease that affects proportionally more women. It has been documented that migraineurs often experience balance disturbances.

OBJECTIVE

To evaluate the balance between migraineur patients (MG) and healthy volunteers classified as control group (CG).

METHOD

A cross-sectional study. Seventy-four women were evaluated: 37 MG and 37 CG. The evaluation of the center of pressure (COP) variables was carried out using a balance platform in three postures, bipodal eyes closed (BEC), right monopodal with eyes open (RMEO), and left monopodal with eyes open (LMEO). Self-report questionnaires (dizziness handicap inventory (DHI), fall risk efficacy scale (FES I), the functional impact scale (HIT 6) and the timed up and go test (TUG test) were used. The U-Mann Whitney test was used to verify differences in the COP between MG and CG. The Kruskal-Wallis one-way ANOVA was used to analyze the differences between migraine groups (MGs) with postures, self-report questionnaires, and TUG test. A p < 0.05 was considered statistically significant.

RESULTS

No statistically significant changes were found in the balance variables, except the medial-lateral excursion variable in the BEC (p < 0.02) and LMEO (p = 0.04) postures. No significant differences were found between the MGs with HIT 6 (p = 0.48) or FES I (p = 0.49). Significant differences were found between the MGs with DHI (p = 0.003). The TUG test showed statistically significant changes between groups (p…

How strong is the evidence?

Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free