{"title":"Nutrient deficiency and physical inactivity in middle-aged adults with dynapenia and metabolic syndrome: results from a nationwide survey.","authors":"Mijin Kim, Toshiro Kobori","doi":"10.1186/s12986-025-00978-1","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>This study examined the associations between dynapenia, metabolic syndrome (MetS), nutrient intake, and physical activity.</p><p><strong>Methods: </strong>We used data from a cross-sectional study that included middle-aged men and women (40-64 years old) who participated in the Korea National Health and Nutrition Examination Survey (KNHANES) between 2014 and 2017. Patients (n = 4700) were categorized into four groups based on diagnosis of dynapenia and MetS: dynapenic MetS (DM), dynapenia alone (D), MetS alone (M), and non-dynapenia and non-MetS (NDNM). Dynapenia was defined as the lowest tertile of the BMI-adjusted handgrip strength. MetS was defined as central obesity plus two or more of the following features: elevated fasting plasma glucose, blood pressure, or triglycerides, or reduced HDL cholesterol. Nutrient intake and physical activity were assessed via questionnaires.</p><p><strong>Results: </strong>In women, the DM group had a significantly lower intake of all nutrients except for total energy and carbohydrates compared to the NDNM group. In a model adjusted for age, osteoarthritis, and total energy intake, the DM group showed higher odds ratios (ORs) for not practicing resistance training (men: OR (95% confidence intervals (CI)) = 1.64 (1.22-2.20); women: OR (95% CI) = 2.26 (1.59-3.21)) and for engaging in physical activities below 600 metabolic equivalents of tasks per week (men: OR (95% CI) = 1.36 (1.05-1.78); women: OR (95% CI) = 1.29 (1.02-1.63)) than the NDNM group. The women in the DM group had significantly higher OR for leisure-related moderate (OR (95% CI) = 2.00 (1.49-2.68)) and vigorous (OR (95% CI) = 1.76 (1.10-2.82)) physical inactivity than in the NDNM group.</p><p><strong>Conclusions: </strong>This study showed that the combination of dynapenia and MetS was associated with poor nutrient intake in women and low physical activity in both sexes. These findings provide a foundation for developing intervention strategies to address dynapenia and MetS.</p>","PeriodicalId":19196,"journal":{"name":"Nutrition & Metabolism","volume":"22 1","pages":"88"},"PeriodicalIF":4.1000,"publicationDate":"2025-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12323049/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nutrition & Metabolism","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12986-025-00978-1","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NUTRITION & DIETETICS","Score":null,"Total":0}
引用次数: 0
Abstract
Background: This study examined the associations between dynapenia, metabolic syndrome (MetS), nutrient intake, and physical activity.
Methods: We used data from a cross-sectional study that included middle-aged men and women (40-64 years old) who participated in the Korea National Health and Nutrition Examination Survey (KNHANES) between 2014 and 2017. Patients (n = 4700) were categorized into four groups based on diagnosis of dynapenia and MetS: dynapenic MetS (DM), dynapenia alone (D), MetS alone (M), and non-dynapenia and non-MetS (NDNM). Dynapenia was defined as the lowest tertile of the BMI-adjusted handgrip strength. MetS was defined as central obesity plus two or more of the following features: elevated fasting plasma glucose, blood pressure, or triglycerides, or reduced HDL cholesterol. Nutrient intake and physical activity were assessed via questionnaires.
Results: In women, the DM group had a significantly lower intake of all nutrients except for total energy and carbohydrates compared to the NDNM group. In a model adjusted for age, osteoarthritis, and total energy intake, the DM group showed higher odds ratios (ORs) for not practicing resistance training (men: OR (95% confidence intervals (CI)) = 1.64 (1.22-2.20); women: OR (95% CI) = 2.26 (1.59-3.21)) and for engaging in physical activities below 600 metabolic equivalents of tasks per week (men: OR (95% CI) = 1.36 (1.05-1.78); women: OR (95% CI) = 1.29 (1.02-1.63)) than the NDNM group. The women in the DM group had significantly higher OR for leisure-related moderate (OR (95% CI) = 2.00 (1.49-2.68)) and vigorous (OR (95% CI) = 1.76 (1.10-2.82)) physical inactivity than in the NDNM group.
Conclusions: This study showed that the combination of dynapenia and MetS was associated with poor nutrient intake in women and low physical activity in both sexes. These findings provide a foundation for developing intervention strategies to address dynapenia and MetS.
期刊介绍:
Nutrition & Metabolism publishes studies with a clear focus on nutrition and metabolism with applications ranging from nutrition needs, exercise physiology, clinical and population studies, as well as the underlying mechanisms in these aspects.
The areas of interest for Nutrition & Metabolism encompass studies in molecular nutrition in the context of obesity, diabetes, lipedemias, metabolic syndrome and exercise physiology. Manuscripts related to molecular, cellular and human metabolism, nutrient sensing and nutrient–gene interactions are also in interest, as are submissions that have employed new and innovative strategies like metabolomics/lipidomics or other omic-based biomarkers to predict nutritional status and metabolic diseases.
Key areas we wish to encourage submissions from include:
-how diet and specific nutrients interact with genes, proteins or metabolites to influence metabolic phenotypes and disease outcomes;
-the role of epigenetic factors and the microbiome in the pathogenesis of metabolic diseases and their influence on metabolic responses to diet and food components;
-how diet and other environmental factors affect epigenetics and microbiota; the extent to which genetic and nongenetic factors modify personal metabolic responses to diet and food compositions and the mechanisms involved;
-how specific biologic networks and nutrient sensing mechanisms attribute to metabolic variability.