ArticleScientific reports2025
Relationship Between Body Mass Index and Low Skeletal Muscle Mass in Adults Based on NHANES 2011-2018.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prognostic value of the Geriatric Nutritional Risk Index in patients undergoing cardiac surgery: a systematic review and meta-analysis.Frontiers in nutrition · 2025Pooled it
- Preoperative neutrophil-to-lymphocyte ratio and refracture risk in hip fracture patients: a propensity score-matched analysis.Annals of medicine · 2026Article
- Development of a Simple Formula for Identifying Reduced Fat-Free Mass in Health Screening Participants.Journal of clinical medicine · 2026Article
- Sarcopenia and Frailty in Patients with Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD): The Impact of Steroid Hormones.International journal of molecular sciences · 2026Article
- Muscle weakness, greater fat mass, lower hematocrit levels, and advanced age in a diagnostic prediction model of periodontitis in adults with obesity: a cross-sectional study.BMC oral health · 2026Article
- Risk factors for carnitine deficiency in critically ill adults: A descriptive cross-sectional study.JPEN. Journal of parenteral and enteral nutrition · 2026Article
- Pneumonia Risk in Institutionalized Older Adults With Severe Functional Dependency: An Exploratory Analysis Using Standardized Long-Term Care Assessment Data.Geriatrics & gerontology international · 2026Observational
- The relationship between a lower body mass index and reintubation among critically ill patients: a multicenter retrospective cohort study.Journal of anesthesia, analgesia and critical care · 2026Article
- Modified cardiometabolic index outperforms conventional indices in discriminating relative muscle loss: a cross-sectional analysis of NHANES 2011-2018.European journal of medical research · 2026Article
- Development and validation of a risk prediction model for postoperative frailty in breast cancer patients.PeerJ · 2026Article
- Undernutrition and associated factors among adult cancer patients in northwest Ethiopia: a global leadership initiative on malnutrition-based approach.BMC cancer · 2025Article
- Sarcopenia in the Aging Process: Pathophysiological Mechanisms, Clinical Implications, and Emerging Therapeutic Approaches.International journal of molecular sciences · 2025Review
- Effectiveness of Open Rigid Internal Fixation of Condylar Fracture Resulting in Temporomandibular Joint Function Recovery.Dentistry journal · 2025Article
- The effect of pain on fear of movement in the early period after open heart surgery according to the fear-avoidance model: the role of moderating factors.BMC nursing · 2025Article
- Predicting Sarcopenia in Peritoneal Dialysis Patients: A Multimodal Ultrasound-Based Logistic Regression Analysis and Nomogram Model.Diagnostics (Basel, Switzerland) · 2025Article
- Association of Body Metrics and Ocular Diseases.Journal of clinical medicine · 2025Article
- Impact of the hemoglobin-to-red cell distribution width ratio on 30-day readmission in patients with heart failure.BMC cardiovascular disorders · 2025Article
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7 authors.
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Abstract
Sarcopenia, a syndrome characterized by declining muscle mass and function, is associated with various adverse health outcomes. While body mass index (BMI) is a fundamental health indicator, its relationship with sarcopenia is complex and remains inadequately explored. Low BMI has been linked to muscle loss, but the role of other demographic and clinical factors in this relationship is unclear. This cross-sectional study analyzed data from the NHANES 2011-2018 cohort, including 7,455 adults aged ≥ 20 years. Low muscle mass was diagnosed based on appendicular skeletal muscle mass using DXA criteria. BMI was categorized into quartiles for analysis. Weighted multivariable logistic regression assessed associations between BMI and low muscle mass, adjusting for confounders such as age, gender, ethnicity, income-to-poverty ratio, and chronic diseases (e.g., diabetes and hypertension). Variance inflation factors (VIF) confirmed the absence of multicollinearity. Lower BMI was significantly associated with higher odds of low muscle mass (adjusted OR: 0.508, 95% CI: 0.483-0.533, p < 0.001), while higher BMI exhibited a protective effect. Age (OR: 1.035, 95% CI: 1.025-1.045, p < 0.001) and female gender (OR: 1.570, 95% CI: 1.267-1.949, p < 0.001) were independent risk factors. Racial disparities were noted, with non-Hispanic Black individuals at lower risk compared to non-Hispanic Whites (OR: 0.242, 95% CI: 0.152-0.384, p < 0.001). Other significant factors included diabetes and alcohol consumption, while education and smoking status were not significantly associated. BMI is inversely associated with low muscle mass prevalence, with lower BMI posing a higher odds. The findings underscore the clinical importance of monitoring BMI and addressing multifactorial risk profiles for low muscle mass management and prevention.
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