ArticleFrontiers in medicine2023
Correlation analysis between body composition, serological indices and the risk of falls, and the receiver operating characteristic curve of different indexes for the risk of falls in older individuals.
Article in Frontiers in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- A short-term postoperative prediction model for colorectal cancer using comprehensive geriatric assessment.BMC geriatrics · 2026Article
- The prevalence and etiology of anemia and the association between anemia and all-cause mortality: a cohort study over a 9-year period.BMC geriatrics · 2025Article
- Systemic immune-inflammatory index mediates the association between regular walking and depression in the elderly with coronary heart disease.BMC geriatrics · 2025Article
- Bioimpedance-Estimated Metabolic Age in a Falls Clinic: Associations with Multimorbidity and Physical Frailty.Journal of frailty, sarcopenia and falls · 2025Article
- Article
- Associations between Cognitive Impairment, Weight Status and Comorbid Conditions in Hospitalized Adults of 55 Years and Older in Guadeloupe.Healthcare (Basel, Switzerland) · 2024Article
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Authors and funding
6 authors.
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Abstract
Objective: This study assessed the risk factors for falls and evaluated the correlation between body composition, serological indices, and the risk of falls in older individuals. Method: This cross-sectional study included 387 individuals ≥60 years of age in the cadre ward of the First Hospital of Jilin University. The information used in this study was obtained from the comprehensive geriatric assessment database of the cadre ward. The body composition of the individuals was measured by bioelectrical impedance analysis using an InBody S10 device. We assessed fall risk using the fall risk assessment tool. Individuals with ≤2 points were placed in the low-risk group, those with 3-9 points were placed in the medium-risk group, and those with ≥10 points were placed in the high-risk group. Results: Differences in age, educational background, height, cognitive impairment, malnutrition, ability of daily living, depression, diastolic blood pressure, heart rate, intracellular water, total body moisture, water ratio, limb moisture (right and left, upper and lower), trunk moisture, fat-free weight, arm girth, body cell mass, skeletal muscle mass, limb muscle (right and left, upper and lower), appendicular skeletal muscle mass index (ASMI), sarcopenia, hemoglobin level, hematocrit level, aspartate aminotransferase level, albumin level, anemia, and hypoproteinemia were observed among the three groups ( Conclusion: Our findings suggest that educational background, age, cognitive impairment, lower limb edema, decreased skeletal muscle mass, and sarcopenia were associated with falls in older individuals. Body composition and serological indices can assist in the early identification of falls in the older people.
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