{"title":"Association between magnesium depletion score and prevalence and all-cause mortality of psoriasis among the US population.","authors":"Lin Qi, Xian Yang","doi":"10.3389/fnut.2025.1598688","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Magnesium plays a key role in the physiopathologic process of psoriasis. The recently proposed magnesium depletion score (MDS) represents a comprehensive index for assessing magnesium status. However, the effect of MDS on psoriasis remains to be elucidated. This study aimed to evaluate the possible association between MDS and psoriasis prevalence and mortality.</p><p><strong>Methods: </strong>This study utilized data from the National Health and Nutrition Examination Survey (NHANES) of adult participants. The multivariable logistic regression analysis was employed to assess the relationship between MDS and psoriasis prevalence. Restricted cubic splines (RCS) were utilized to investigate the dose-response correlation. Furthermore, Cox regression analysis was performed to determine the relationship between MDS and all-cause mortality in psoriasis patients. Furthermore, we conducted subgroup and sensitivity analyses to verify the validity and consistency of these results.</p><p><strong>Results: </strong>This study enrolled 17,883 eligible participants. After excluding individuals without follow-up information, 64 all-cause deaths were observed among 505 patients with psoriasis. In the weighted multivariable logistic regression model, individuals with an MDS ≥ 3 had a 1.75-fold greater risk of psoriasis compared with those with an MDS of 0 (OR = 1.75; 95% CI: 1.05-2.92; <i>p</i> < 0.05). RCS analysis revealed a positive linear relationship between MDS and psoriasis prevalence (<i>P</i> for nonlinear = 0.145). Additionally, Cox regression analysis demonstrated that MDS was positively associated with all-cause mortality (HR = 1.39; 95% CI: 1.04-1.87; <i>p</i> < 0.05). Subgroup analyses indicated that these findings remained consistent across different subgroups.</p><p><strong>Conclusion: </strong>MDS is associated with an increased prevalence and all-cause mortality from psoriasis among American adults. Early detection and management for MDS may reduce the risk of psoriasis and improving its prognosis.</p>","PeriodicalId":12473,"journal":{"name":"Frontiers in Nutrition","volume":"12 ","pages":"1598688"},"PeriodicalIF":4.0000,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12460096/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Nutrition","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.3389/fnut.2025.1598688","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"NUTRITION & DIETETICS","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Magnesium plays a key role in the physiopathologic process of psoriasis. The recently proposed magnesium depletion score (MDS) represents a comprehensive index for assessing magnesium status. However, the effect of MDS on psoriasis remains to be elucidated. This study aimed to evaluate the possible association between MDS and psoriasis prevalence and mortality.
Methods: This study utilized data from the National Health and Nutrition Examination Survey (NHANES) of adult participants. The multivariable logistic regression analysis was employed to assess the relationship between MDS and psoriasis prevalence. Restricted cubic splines (RCS) were utilized to investigate the dose-response correlation. Furthermore, Cox regression analysis was performed to determine the relationship between MDS and all-cause mortality in psoriasis patients. Furthermore, we conducted subgroup and sensitivity analyses to verify the validity and consistency of these results.
Results: This study enrolled 17,883 eligible participants. After excluding individuals without follow-up information, 64 all-cause deaths were observed among 505 patients with psoriasis. In the weighted multivariable logistic regression model, individuals with an MDS ≥ 3 had a 1.75-fold greater risk of psoriasis compared with those with an MDS of 0 (OR = 1.75; 95% CI: 1.05-2.92; p < 0.05). RCS analysis revealed a positive linear relationship between MDS and psoriasis prevalence (P for nonlinear = 0.145). Additionally, Cox regression analysis demonstrated that MDS was positively associated with all-cause mortality (HR = 1.39; 95% CI: 1.04-1.87; p < 0.05). Subgroup analyses indicated that these findings remained consistent across different subgroups.
Conclusion: MDS is associated with an increased prevalence and all-cause mortality from psoriasis among American adults. Early detection and management for MDS may reduce the risk of psoriasis and improving its prognosis.
期刊介绍:
No subject pertains more to human life than nutrition. The aim of Frontiers in Nutrition is to integrate major scientific disciplines in this vast field in order to address the most relevant and pertinent questions and developments. Our ambition is to create an integrated podium based on original research, clinical trials, and contemporary reviews to build a reputable knowledge forum in the domains of human health, dietary behaviors, agronomy & 21st century food science. Through the recognized open-access Frontiers platform we welcome manuscripts to our dedicated sections relating to different areas in the field of nutrition with a focus on human health.
Specialty sections in Frontiers in Nutrition include, for example, Clinical Nutrition, Nutrition & Sustainable Diets, Nutrition and Food Science Technology, Nutrition Methodology, Sport & Exercise Nutrition, Food Chemistry, and Nutritional Immunology. Based on the publication of rigorous scientific research, we thrive to achieve a visible impact on the global nutrition agenda addressing the grand challenges of our time, including obesity, malnutrition, hunger, food waste, sustainability and consumer health.