Annals of Geriatric Medicine and Research最新文献

Background: Anthropometry and body mass index (BMI) do not assess body composition or its distribution in older adults; thus, individuals may have different fat percentages but similar BMI values. The body adiposity index (BAI) was recently proposed as a feasible and inexpensive method for estimating the percentage of body fat based on measurements of hip circumference and height. The present study evaluated whether BAI and BMI are useful alternatives to dual-energy X-ray absorptiometry (DXA), which is rarely used in clinical practice, for predicting body fat in independent long-lived older adults.

Methods: In this cross-sectional study, we used DXA to calculate the percentage of body fat, which was compared with BAI and BMI values. We performed Pearson correlation analyses and used Cronbach's alpha, described by Bland and Altman, to compare the reliability between the indexes.

Results: Among 157 evaluated individuals (73.2% women, mean age 87±3.57 years), men had a lower percentage of total fat, as assessed by DXA, and lower BAI indices than women. The correlation between BAI and DXA was moderate (r=0.59 for men and r=0.67 for women, p<0.001). We confirmed the reliability based on Cronbach's alpha coefficients of 0.67 in men and 0.77 in women. We also observed that the BAI was strongly positively correlated with BMI in both men and women.

Conclusion: The BAI, used in combination with BMI, can be an alternative to DXA for the assessment of body fat in the oldest old in clinical practice, mainly women, and can be used to add information to BMI.

Purpose: This study aimed to validate the Geriatric Trauma Outcome Score (GTOS) for predicting mortality associated with trauma in older Korean adults and compare the GTOS with the Trauma and Injury Severity Score (TRISS).

Methods: This study included patients aged ≥65 years who visited the Chungbuk National University Hospital Regional Trauma Center between January 2016 and December 2022. We used receiver operating characteristic (ROC) curves and calibration plots to assess the discrimination and calibration of the scoring systems.

Results: Among 3053 patients, the median age was 77 years, and the mortality rate was 5.2%. The overall GTOS-predicted mortality and 1-TRISS were 5.4% (IQR [3.7-9.5]) and 4.7% (interquartile range [IQR] [4.7-4.7]), respectively. The areas under the curves (AUCs) of 1-TRISS and GTOS for the total population were 0.763 (95% confidence interval [CI], 0.719-0.806) and 0.794 (95%CI, 0.755-0.833), respectively. In the Glasgow Coma Scale (GCS) ≤12 group, the in-hospital mortality rate was 27.5% (79 deaths). The GTOS-predicted mortality and 1-TRISS in this group were 18.6% (IQR [7.5-34.7]) and 26.9% (IQR [11.9-73.1]), respectively. The AUCs of 1-TRISS and GTOS for the total population were 0.800 (95%CI, 0.776-0.854) and 0.744 (95%CI, 0.685-0.804), respectively.

Conclusion: The GTOS and TRISS demonstrated comparable accuracy in predicting mortality, while the GTOS offered the advantage of simpler calculations. However, the GTOS tended to underestimate mortality in patients with GCS ≤12; thus, its application requires care in such cases.

Background: The effect of sarcopenia on depressive mood during geriatric rehabilitation remains unclear. This study investigated the potential influence of sarcopenia on depressive mood among geriatric patients in a rehabilitation setting.

Methods: This observational cohort study enrolled 204 patients aged ≥65 years (mean: 78.8±7.6 years, 45.1% women) admitted to a rehabilitation unit between April 2020 and July 2021. Sarcopenia was diagnosed based on the Asian Working Group for Sarcopenia: 2019 Consensus Update on Sarcopenia Diagnosis and Treatment (AWGS2019) criteria, which include low handgrip strength and muscle mass. Depressive mood was defined as a 15-item Geriatric Depression Scale score of ≥6 points. We applied logistic regression models to examine the influence of sarcopenia on depressive mood at discharge.

Results: We observed sarcopenia in 58.3% of patients. The logistic regression model showed that sarcopenia negatively influenced depressive mood at discharge (odds ratio, 5.460; 95% confidence interval, 2.344-13.415). Of the 68 patients without depressive mood at admission, those with sarcopenia (n=31) had a significantly higher incidence of depressive mood at discharge compared with patients without sarcopenia (n=37) (41.9% vs. 16.2%, p=0.037).

Conclusion: Sarcopenia at admission negatively affected depressive mood at discharge from geriatric rehabilitation. Thus, early and routine assessment of sarcopenia is vital for patients undergoing geriatric rehabilitation.

Background: Sarcopenia is a muscle wasting condition that affects elderly individuals. It can lead to changes in movement patterns, which can increase the risk of falls and other injuries.

Methods: Elderly women participants aged ≥65 years who could walk independently were recruited and classified into two groups based on knee extension strength (KES). Participants with low KES scores were assigned to the possible sarcopenia group (PSG, n=7) and an 8-week exercise intervention was implemented. Healthy seniors with high KES scores were classified as the reference group (RG, n=4), and a 3-week exercise intervention was conducted. Kinematic movement data were recorded during the intervention period. All participants' exercise repetitions were used in the data analysis (number of data points =1,128).

Results: The PSG showed significantly larger movement patterns in knee rotation during wide squats compared to the RG, attributed to weakened lower limb strength. The voting classifier, trained on the movement patterns from wide squats, determined that significant differences in overall movement patterns between the two groups persisted until the end of the exercise intervention. However, after the exercise intervention, significant improvements in lower limb strength in the PSG resulted in reduced knee rotation ROM and Max, thereby stabilizing movements and eliminating significant differences with the RG.

Conclusions: This study suggests that exercise interventions can modify the movement patterns in elderly individuals with possible sarcopenia. These findings provide fundamental data for developing an exercise management system that remotely tracks and monitors the movement patterns of older adults during exercise activities.

Objective: This study aimed to investigate the potential association between the combination of low physical activity and low dietary diversity with mild cognitive impairment (MCI) in older Japanese adults.

Methods: Data from 600 older adults (mean age 74.1 ± 6.4 years; 62.0% women) were analyzed. We evaluated dietary variety based on the Food Frequency Score (FFS) (maximum 30 points) by assessing the one-week consumption frequencies of ten foods. An FFS of ≤ 16 indicated low dietary diversity. We assessed MCI using the National Center for Geriatrics and Gerontology (NCGG) Functional Assessment Tool. Physical activity levels was determined based on participant responses to two questions: "Do you engage in moderate levels of physical exercise or sports aimed at health?" and "Do you engage in low levels of physical exercise aimed at health?". Participants who responded "No" to both questions were classified as having low physical activity levels. We classified the participants into robust, low-dietary diversity, low-physical activity, and coexistence groups.

Results: The overall prevalence of MCI was 20.7%, with rates in the robust, low dietary diversity, low physical activity, and coexistence groups of 17.7%, 24.7%, 25.0%, and 41.9%, respectively. Multiple logistic regression analysis revealed that low dietary diversity and physical activity were associated with MCI in older adults (odds ratio [OR] 2.80, 95% confidence interval [CI] 1.22-6.28).

Conclusions: The results of the present study demonstrated the association of the co-occurrence of low dietary diversity and low physical activity with MCI. Older adults with both risk factors may require early detection, as well as physical activity and dietary interventions.

Background: The use of transport other than cars is a modifiable factor in the association between driving cessation and social frailty. Clarifying this relationship may serve as a new preventive measure against social frailty among current non-drivers. This study examined the potential association of driving status and transport use with social frailty, as well as between the frequency of transport use and social frailty, among current non-drivers.

Methods: This study included 977 middle-aged and older adults (average age 65.3 ± 4.8 years). The participants were classified as transport users (more than a few times a week) and transport non-users (less than a few times a month). Based on driving status and transport use, the groups were further classified into current driver, current non-driver/transport user, and current non-driver/transport non-user groups. We performed statistical analyses to examine the relationships between driving status, transport use, and social frailty.

Results: The current non-driver/transport non-user group showed a significant association with a higher social frailty. The current non-driver/transport user group showed no association with social frailty compared with the current driver group. The current non-driver/transport non-user group showed a significant association with a higher social frailty rate (OR 2.14, 95%CI 1.25-3.73).

Conclusions: Participants who did not drive or take transport showed significant associations with increased social frailty. Compared with current driver/transport use, current non-driver/transport non-use was associated with social frailty.

Background: Data on cardiopulmonary fitness in older adults in the longer term after coronavirus disease 2019 (COVID-19) are of interest as the time required for the full recovery of physical fitness after COVID-19 remains unclear. Some studies have reported that patients do not recover physical fitness for up to 6 or 12 months after COVID-19, whereas other studies have observed full recovery after 12-months. Therefore, this study evaluated and compared the cardiopulmonary responses induced by the 6-minute walk test (6MWT) and 1-minute sit-to-stand-test (STST) results at 3, 6, and 12 months in older adults with and without COVID-19.

Methods: This study included 59 older adults with and without a history of COVID-19. The cardiopulmonary response parameters including heart rate (HR), systolic blood pressure (SBP), diastolic blood pressure (DBP), pulse oxygen saturation (O2 sat), rate of perceived exertion (RPE), and leg fatigue were evaluated in the participants after 6MWT and 1-min-STST assessments.

Results: Post-COVID-19, older adults showed statistically significant differences in HR, SBP, DBP, O2 sat, RPE, leg fatigue, 6MWT time, and 1-min-STST step numbers at 3, 6, and 12 months (P < 0.001). Moreover, older adults showed statistically significant differences in HR, SBP, DBP, RPE, leg fatigue, O2 sat, and 6MWT distance at 3 months post-COVID-19 compared with those in older adults without COVID-19 (P < 0.001).

Conclusion: While older adults showed recovery of cardiopulmonary response parameters according to 6MWT and 1-min-STST findings at the 12-month follow-up post-COVID-19, these results of these measurements did not return to the values observed in older adults without COVID-19.

Background: Muscle weakness in older adults elevates mortality risk and impairs quality of life, with the phase angle (PhA) indicating cellular health. Polypharmacy, common in geriatric care, could influence PhA. This investigates whether the number of medications and polypharmacy with PhA as a biomarker of muscle quality in older inpatients aged ≧ 65 and determines the extent to which multiple medications contribute to the risk of reduced muscle quality.

Methods: This retrospective cross-sectional study analyzed data from older inpatients requiring rehabilitation. PhA was measured using bioelectrical impedance analysis. The number of medications taken by each patient was recorded at admission. Polypharmacy was defined as the concurrent use of five or more medications at admission.

Results: In this study of 517 hospitalized older adults (median age: 75 years; 47.4% men), 178 patients (34.4%) were diagnosed with sarcopenia. Polypharmacy was present in 66% of patients. The median PhA was 4.9° in men and 4.3° in women. Multivariate linear regression analysis was performed separately for men and women. In men, PhA was negatively correlated with the number of medications (β = -0.104, p=0.041) and polypharmacy (β = -0.045, p=0.383). In women, PhA was negatively correlated with the number of medications (β = -0.119, p=0.026) and polypharmacy (β = -0.098, p=0.063). Analyses were adjusted for age, BMI, sarcopenia, CRP, and hemoglobin levels.

Conclusions: The number of medications at admission negatively impacted PhA in older inpatients, highlighting the importance of reviewing prescribed drugs and their interactions.

Background: This study aimed to develop an instrument for assessing physical functioning among adults aged 50 years or older living in the community.

Methods: Based on a review of various national health surveys and cohort studies, a 144-item bank was constructed for assessing physical functioning. Focus group interviews were conducted among adults aged 50 years or older to investigate their level of understanding of 60 selected items, followed by a pretest of the items on a nationally representative sample (n = 508). The final 25-item questionnaire was tested on an independent sample (n = 259) for validity and reliability based on classical test and item response theories. Predictive validity at the 6-month follow-up was tested in a separate sample (n = 263).

Results: The newly developed Life Functioning (LF) scale assessed the dimensions of functional limitations, disabilities, and social activities. The scale satisfied a one-dimensionality assumption with good item fit and demonstrated criterion validity, construct validity, high internal consistency (Cronbach's alpha = 0.93), and test-retest reliability (intra-class correlation coefficient = 0.84; 95% CI, 0.76-0.89). The LF scale comprised 25 items with a total score ranging from 0 to 100. Higher scores indicated higher levels of functioning. The LF score was significantly associated with the physical functioning score at 6 months.

Conclusion: The LF scale was developed to assess the physical functioning of people in their late midlife or older. Future studies should test the instrument on a national sample and evaluate its application in diverse population subgroups.

Background: Functional dependency may serve as a marker for positive SARC-F screen among older adults at the Emergency Department (ED). We compared functional dependency between SARC-F- (<4) and SARC-F+ (≥4) groups at the ED.

Methods: A secondary analysis of cohorts from two quasi-experimental studies among patients aged ≥65 years old presenting to the ED of a 1700-bed tertiary hospital. We compared both groups for baseline characteristics using univariate analyses, and performed multiple linear regression to examine the association between Modified Barthel Index (MBI) and Lawton's instrumental activities of daily living (IADL) against SARC-F, and binary logistic regression to examine the associations between individual ADL domains and SARC-F+. We compared the area under receiver operating characteristic curves (AUC) to detect SARC-F+ for MBI, IADL, frailty, age, cognition and comorbidity.

Results: SARC-F+ patients were older (86.4±7.6 years), predominantly female (71.5%) and frail (73.9%), more dependent on walking aids (77.2%), and had lower premorbid MBI[90.0(71.0-98.0)] and IADL[4.0(2.0-5.0)] (both p<.001). MBI (β -0.07, 95%CI:-0.086 to -0.055] and IADL (β -0.533,95%CI:-0.684 to -0.381) were significantly associated with SARC-F. Dependency in finances [Odds Ratio(OR):14.7,95%CI:3.57-60.2, p<.001], feeding (OR:12.4,95%CI:1.45-106, p=0.022), and stair-climbing (OR:10.49,95%CI:4.96-22.2, p<.001) were the top 3 functional items associated with SARC-F. MBI (AUC:0.82,95%CI:0.77-0.84) and IADL (AUC:0.78,95%CI:0.72-0.84) showed superior discrimination for SARC-F+ compared to other measures (AUC:0.58-0.70).

Conclusion: Functional dependency is strongly associated with positive SARC-F screen among older adults at the ED. This highlights the need for increased vigilance, especially in the presence of dependency in relevant domains such as managing finances, feeding, and stair-climbing.