Objective: To study the risk factors of falls in the elderly and explore the correlation between arteriosclerosis and the risk of falls in the elderly. Method: This is a cross-sectional study. The subjects were inpatients ≥ 60 years old in the cadre ward of the first hospital of Jilin University from May 1, 2019 to December 31, 2020. The following information was obtained from the past comprehensive geriatric assessment database of the cadre ward. Ankle brachial index (ABI) and ankle brachial pulse wave velocity (baPWV) were measured by OMRON arteriosclerosis detection device. We assessed according to the internationally used fall risk assessment tool (FRA), ≤ 2 points are divided into low-risk group, 3 - 9 points are divided into medium-risk group, and ≥ 10 points are divided into high-risk group. Results: There were significant differences among the three groups in age, weight, educational background, low gait speed, cognitive impairment, malnutrition, ability of daily living, depression (P < 0.05). The baPWV and ABI were higher in high-risk group than in low-risk group; The baPWV in high-risk group was higher than that in medium risk group and low-risk group. For each additional unit of baPWV, the probability of the fall risk increasing by one level is 1.701 times higher than the original (OR= 1.701, 95%CI: 0.533-11.822, P= 0.001). For each additional unit of ABI, the probability of the fall risk increasing by one level is 1.976 times higher than the original (OR= 1.976, 95%CI: 1.213-3.219, P= 0.006). Conclusion:The increase of baPWV and the decrease of ABI are closely related to the increased risk of falls in the elderly.
Background: Cognitive impairment is common in elderly inpatients and is associated with many diseases and leads to adverse outcomes. However, there is currently no reversible treatment, so preventing cognitive impairment is critical. Objective: Statistical methods were used to explore the correlation between the Comprehensive Geriatric Assessment and cognitive impairment in elderly inpatients. Methods: A cross-sectional study of 168 hospitalized patients aged 60 years and older from the Comprehensive Geriatric Assessment database was conducted. Develop a Comprehensive Geriatric Assessment checklist to screen for general characteristics, the ability of daily life, geriatric depression, frailty, nutritional status, anthropometric measurements (body mass index, body fat percentage, and lower limb muscle mass), and blood biochemical markers (hemoglobin, albumin, prealbumin, triglycerides, low density lipoprotein cholesterol, high density lipoprotein cholesterol, and fasting blood glucose). Mini-mental State Examination was also conducted for each elderly patient to screen for cognitive impairment. Multiple linear logistic regression analysis was used to determine the correlation between Comprehensive Geriatric Assessment parameters and geriatric cognitive impairment. Results: Finally, there were 26 patients (15.48%) in the cognitive impairment group with a median age of 89.00 years, and 142 patients (84.52%) in the normal cognitive function group with a median age of 79.00 years. Patients in the cognitive impairment group were older (P<0.001), had poorer ability of daily life (P<0.001), and had higher low density lipoprotein cholesterol concentrations (P=0.002) compared with the control group. In the multiple linear logistic regression analysis, Mini-mental State Examination scores was inversely associated with age (β=-0.089, P<0.001), activities of daily living and instrumental activities of daily living scores (β=-0.146, P<0.001), and low density lipoprotein cholesterol concentrations (β=-0.906, P<0.001). Conclusion: Our findings suggest that Comprehensive Geriatric Assessment parameters such as age, the ability of daily life, and low density lipoprotein cholesterol concentrations are associated with cognitive impairment. Mini-mental State Examination scores were inversely correlated with age, activities of daily living and instrumental activities of daily living scores, and low-density lipoprotein cholesterol concentrations. Improving the ability to perform daily living and low-density lipoprotein cholesterol concentrations may help prevent cognitive impairment.
Objective: To study the risk factors of falls and explore the correlation between body composition, serological indexes and the risk of falls in the elderly. Method: This is a cross-sectional study. The subjects were inpatients ≥ 60 years old in the cadre ward of the first hospital of Jilin University. The following information was obtained from the past comprehensive geriatric assessment database of the cadre ward. The body composition of the patients was measured by Bioelectrical Impedience Analysis (BIA) using the Inbody S10 device (Biospace, Seoul, Korea). We assessed according to the internationally used fall risk assessment tool (FRA), ≤ 2 points are divided into low-risk group, 3 - 9 points are divided into medium-risk group, and ≥ 10 points are divided into high-risk group. Results: There were significant differences among the three groups in age, educational background, weight, cognitive impairment, malnutrition, ability of daily living, depression, systolic blood pressure, lower limb moisture, fat free weight, arm girth, body cell mass, skeletal muscle mass, limb muscle, red blood cell (RBC), hemoglobin (HGB), hematocrit (HCT), aspartate aminotransferase (AST), alanine aminotransferase (ALT), albumin (ALB), prealbumin (PA), anemia and hypoproteinemia (P< 0.05). Ordinal logistic regression analysis showed that, for each unit of decrease in educational background and hemoglobin, the probability of the fall risk increasing by one level is 7.64 times and 1.094 times higher than the original (OR= 7.64, 95%CI: 1.38 - 225.19, P= 0.027); (OR= 1.094, 95%CI: 0.102-11.693, P< 0.001), for each additional unit of age, cognitive impairment, malnutrition and right lower limb moisture, the probability of the fall risk increasing by one level is 13.531, 10.186, 2.936, 5.755 times higher than the original (OR= 13.531, 95%CI: 6.080-30.114, P< 0.001); (OR= 10.186, 95%CI: 3.854-26.924, P< 0.001); (OR= 2.936, 95%CI: 1.514-5.686, P= 0.001); (OR= 5.755, 95%CI: 1.775-18.672, P= 0.004). Conclusion: Educational background, hemoglobin are significant protective factors, and age, cognitive impairment, malnutrition, right lower limb moisture are significant risk factors for falls in the elderly.
ObjectiveThis study assessed the risk factors for falls and evaluated the correlation between body composition, serological indices, and the risk of falls in older individuals.MethodThis 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.ResultsDifferences 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 (p < 0.001, p = 0.002, p = 0.006, p < 0.001, p < 0.001, p < 0.001, p < 0.001, p < 0.001, p = 0.008, p = 0.010). Ordinal logistic regression analysis showed that the probability of the fall risk increasing by one level was 1.902 times higher for each unit of decrease in educational background, respectively. In addition, the probability of the fall risk increasing by one level was 2.971, 3.732, 3.804, 1.690 and 2.155 times higher for each additional unit of age, cognitive impairment, lower limb edema, decreased skeletal muscle mass, and sarcopenia, respectively.ConclusionOur 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.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.