High resting energy expenditure in women with episodic migraine: exploring the use of predictive formulas

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dc.creatorLaís Bhering Martins
dc.creatorJéssica Ribeiro
dc.creatorAna Maria Rodrigues
dc.creatorLuana Caroline Dos Santos
dc.creatorAntonio Lucio Teixeira Junior
dc.creatorAdaliene Versiani Matos Ferreira
dc.date.accessioned2024-12-19T14:51:00Z
dc.date.accessioned2025-09-09T00:37:29Z
dc.date.available2024-12-19T14:51:00Z
dc.date.issued2023-11-24
dc.format.mimetypepdf
dc.identifier.doi10.3389/fnut.2023.1296937
dc.identifier.issn2296-861X
dc.identifier.urihttps://hdl.handle.net/1843/78782
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofFrontiers in Nutrition
dc.rightsAcesso Aberto
dc.subjectNutrição
dc.subjectSaúde da mulher
dc.subjectCefaléia
dc.subject.otherResting energy expenditure
dc.subject.otherMigraine
dc.subject.otherPredictive formulas
dc.subject.otherPain
dc.subject.otherNutrition
dc.titleHigh resting energy expenditure in women with episodic migraine: exploring the use of predictive formulas
dc.typeArtigo de periódico
local.citation.epage7
local.citation.spage1
local.citation.volume10
local.description.resumoIntroduction: Migraine is a common and disabling primary headache, and its pathophysiology is not fully understood. Previous studies have suggested that pain can increase humans’ Resting Energy Expenditure (REE). However, no previous study has investigated whether the REE of individuals with migraine differs from the general population. Therefore, this study aims to assess whether the REE of women with migraine differs from that of women without headaches. We also tested the accuracy of REE predictive formulas in the migraine patients. Methods: This cross-sectional study involves 131 adult women aged between 18 and 65 years, 83 with migraine and 48 without (controls). We collected clinical, demographic, and anthropometric data. Migraine severity was measured using the Migraine Disability Test and Headache Impact Test, version 6. The REE was measured by indirect calorimetry, and it was compared with the predicted REE calculated by formulas. Results: Patients with migraine had higher REE when compared to controls (p  <  0.01). There was a positive correlation between REE and the patient-reported number of migraine attacks per month (Rho  =  0.226; p =  0.044). Mifflin-St Jeor and Henry and Rees were the predictive formulas that have more accuracy in predicting REE in women with migraine. Discussion: Considering the benefits of nutritional interventions on treating migraines, accurately measuring REE can positively impact migraine patient care. This study enhances our understanding of the relationship between pain and energy expenditure. Our results also provide valuable insights for healthcare professionals in selecting the most effective predictive formula to calculate energy expenditure in patients with migraine.
local.identifier.orcidhttps://orcid.org/0000-0002-9814-8649
local.identifier.orcidhttps://orcid.org/0009-0007-1144-9179
local.identifier.orcidhttps://orcid.org/0000-0001-7207-3143
local.identifier.orcidhttps://orcid.org/0000-0001-9836-3704
local.identifier.orcidhttps://orcid.org/0000-0002-9621-5422
local.identifier.orcidhttps://orcid.org/0000-0003-2256-8652
local.publisher.countryBrasil
local.publisher.departmentENF - DEPARTAMENTO DE ENFERMAGEM MATERNO INFANTIL E SAÚDE PÚBLICA
local.publisher.departmentENF - DEPARTAMENTO DE NUTRIÇÃO
local.publisher.initialsUFMG
local.url.externahttps://www.frontiersin.org/journals/nutrition/articles/10.3389/fnut.2023.1296937/full

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