{"title":"Insights Into Stroke Risk and Prediction for Underweight Individuals.","authors":"Saeed Awad M Alqahtani, Moutasem S Aboonq","doi":"10.17712/1658-3183.1000","DOIUrl":null,"url":null,"abstract":"<p><p>This review explores the relationship between underweight status and stroke risk and outcomes. Although the impact of obesity on stroke is well-documented, the harmful effects of being underweight are often overlooked. Drawing on evidence from observational studies, case-control studies, and meta-analyses, this review highlights that underweight individuals face increased mortality, poorer functional recovery, and higher rates of major adverse cardiovascular events and recurrent strokes post-stroke. Challenges in stroke prediction for this population are examined, including the limited research focus, shortcomings of existing risk assessment tools such as the CHA<sub>2</sub>DS<sub>2</sub>-VASc score, and population-specific factors affecting underweight prevalence and outcomes. The review identifies key research gaps, emphasizing the need for longitudinal studies encompassing diverse populations to inform tailored preventive strategies and improve risk assessment. It concludes by advocating for individualized risk assessment approaches that integrate nutritional status and targeted interventions to reduce the elevated stroke risks associated with being underweight.</p>","PeriodicalId":19284,"journal":{"name":"Neurosciences","volume":"31 1","pages":"1-8"},"PeriodicalIF":2.3000,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13169167/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neurosciences","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.17712/1658-3183.1000","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/3/27 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
This review explores the relationship between underweight status and stroke risk and outcomes. Although the impact of obesity on stroke is well-documented, the harmful effects of being underweight are often overlooked. Drawing on evidence from observational studies, case-control studies, and meta-analyses, this review highlights that underweight individuals face increased mortality, poorer functional recovery, and higher rates of major adverse cardiovascular events and recurrent strokes post-stroke. Challenges in stroke prediction for this population are examined, including the limited research focus, shortcomings of existing risk assessment tools such as the CHA2DS2-VASc score, and population-specific factors affecting underweight prevalence and outcomes. The review identifies key research gaps, emphasizing the need for longitudinal studies encompassing diverse populations to inform tailored preventive strategies and improve risk assessment. It concludes by advocating for individualized risk assessment approaches that integrate nutritional status and targeted interventions to reduce the elevated stroke risks associated with being underweight.
期刊介绍:
Neurosciences is an open access, peer-reviewed, quarterly publication. Authors are invited to submit for publication articles reporting original work related to the nervous system, e.g., neurology, neurophysiology, neuroradiology, neurosurgery, neurorehabilitation, neurooncology, neuropsychiatry, and neurogenetics, etc. Basic research withclear clinical implications will also be considered. Review articles of current interest and high standard are welcomed for consideration. Prospective workshould not be backdated. There are also sections for Case Reports, Brief Communication, Correspondence, and medical news items. To promote continuous education, training, and learning, we include Clinical Images and MCQ’s. Highlights of international and regional meetings of interest, and specialized supplements will also be considered. All submissions must conform to the Uniform Requirements.