METHODS: GBS patients were consecutively recruited and the results were compared to age- and gender-matched healthy controls. A series of autonomic function tests including computation-dependent tests (power spectrum analysis of HRV and BRS at rest) and challenge maneuvers (deep breathing, eyeball compression, active standing, the Valsalva maneuver, sustained handgrip, and the cold pressor test) were performed.
RESULTS: Ten GBS patients (six men; mean age = 40.1 ± 13.9 years) and ten gender- and age-matched healthy controls were recruited. The mean GBS functional grading scale at disease plateau was 3.4 ± 1.0. No patients required intensive care unit admission or mechanical ventilation. Low-frequency HRV (p = 0.027), high-frequency HRV (p = 0.008), and the total power spectral density of HRV (p = 0.015) were significantly reduced in patients compared to controls. The mean up slope (p = 0.034), down slope (p = 0.011), and total slope (p = 0.024) BRS were significantly lower in GBS patients. The diastolic rise in blood pressure in the cold pressor test was significantly lower in GBS patients compared to controls (p = 0.008).
INTERPRETATION: Computation-dependent tests (HRV and BRS) were more useful for detecting autonomic dysfunction in GBS patients, whereas the cold pressor test was the only reliable challenge test, making it useful as a bedside measure of autonomic function in GBS patients.
DESIGN: An analysis of the English Longitudinal Study of Ageing (ELSA) cohort.
SETTING: United Kingdom community-based.
PARTICIPANTS: 5197 community-dwelling older adults recruited to a prospective longitudinal cohort study.
MEASUREMENTS: Data on the occurrence of falls and number of falls, which occurred during a 12-month follow-up period, were assessed against the specific cognitive domains of memory, numeracy skills, and executive function. Binomial logistic regression was performed to evaluate the association between each cognitive domain and the dichotomous outcome of falls in the preceding 12 months using unadjusted and adjusted models.
RESULTS: Of the 5197 participants included in the analysis, 1308 (25%) reported a fall in the preceding 12 months. There was no significant association between the occurrence of a fall and specific forms of cognitive dysfunction after adjusting for self-reported hearing, self-reported eyesight, and functional performance. After adjustment, only orientation (odds ratio [OR]: 0.80; 95% confidence intervals [CI]: 0.65-0.98, p = 0.03) and verbal fluency (adjusted OR: 0.98; 95% CI: 0.96-1.00; p = 0.05) remained significant for predicting recurrent falls.
CONCLUSIONS: The cognitive phenotype rather than cognitive impairment per se may predict future falls in those presenting with more than one fall.
METHODS: This was a cross-sectional study. 1332 participants aged ≥ 55 years were selected by random sampling from the parliamentary electoral register. Only 1274 participants completed the frailty assessment and 1278 participants completed the contrast sensitivity assessment. Impaired vision was defined as a Snellen visual acuity of worse than 6/12 in the better eye. Poor contrast sensitivity was defined as a score on the Pelli Robson chart of lower than 1.65. Frailty was defined with the Fried's phenotype criteria. Inter-group comparisons were determined with the independent T-test for continuous variables and the Pearson's Chi-squared test for categorical variables. The odds ratio (OR) with 95% confidence interval (CI) was used to evaluate the cross-sectional association between frailty and visual function.
RESULTS: The mean age of participants was 68.8 ± 7.5 years, of which 58.1% (774) were women. Impaired vision and poor contrast sensitivity were present in 187 (14%) and 271 (21.2%) subjects respectively. 73 (5.8%) individuals were classified as frail, 1161 (91.0.%) pre-frail, and 40 (2.8%) non-frail. There was no significant difference in frailty phenotypes between those with good and impaired vision (p = 0.241). Fried's component of handgrip strength, gait speed and exhaustion were significantly better in those with good visual function (p
METHODS: Data from 1,763 Malaysian community-dwelling older persons aged ≥ 60 years were obtained from the LRGS-TUA longitudinal study. Participants were categorized into three groups according to the presence of a single fall (occasional fallers), ≥two falls (recurrent fallers), or absence of falls (non-fallers) at an 18-month follow-up.
RESULTS: Three hundred and nine (17.53 %) participants reported fall occurrences at an 18-month follow-up, of whom 85 (27.51 %) had two or more falls. The incidence rate for occasional and recurrent falls was 8.47 and 3.21 per 100 person-years, respectively. Following multifactorial adjustments, being female (OR: 1.57; 95 % CI: 1.04-2.36), being single (OR: 5.31; 95 % CI: 3.36-37.48), having history of fall (OR: 1.86; 95 % CI: 1.19-2.92) higher depression scale score (OR: 1.10; 95 % CI: 1.02-1.20), lower hemoglobin levels (OR: 0.90; 95 % CI: 0.81-1.00) and lower chair stand test score (OR: 0.93; 95 % CI: 0.87-1.00) remained independent predictors of occasional falls. While, having history of falls (OR: 2.74; 95 % CI: 1.45-5.19), being a stroke survivor (OR: 8.57; 95 % CI: 2.12-34.65), higher percentage of body fat (OR: 1.04; 95 % CI: 1.01-1.08) and lower chair stand test score (OR: 0.87; 95 % CI: 0.77-0.97) appeared as recurrent falls predictors.
CONCLUSIONS: Having history of falls and lower muscle strength were predictors for both occasional and recurrent falls among Malaysian community-dwelling older persons. Modifying these predictors may be beneficial in falls prevention and management strategies among older persons.
METHODS: Data from the first wave Malaysian Elders Longitudinal Research (MELoR) study comprising urban dwellers aged 55 years and above were utilized. Twelve-month fall histories were established during home-based, computer-assisted interviews which physical performance, anthropometric and laboratory measures were obtained during a hospital-based health check. Gait speed, exhaustion, weakness, and weight loss were employed as frailty markers.
RESULTS: Data were available for 1415 participants, mean age of 68.56 ± 7.26 years, 57.2% women. Falls and metabolic syndrome were present in 22.8% and 44.2%, respectively. After adjusting for age, sex, and multiple comorbidities, metabolic syndrome was significantly associated with falls in the sample population [odds ratio (OR): 1.33, 95% confidence interval (CI): 1.03; 1.72]. This relationship was attenuated by the presence of slow gait speed, but not exhaustion, weakness, or weight loss.
CONCLUSION: Metabolic syndrome was independently associated with falls among older adults, and this relationship was accounted for by the presence of slow gait speed. Future studies should determine the value of screening for frailty and falls with gait speed in older adults with metabolic syndrome as a potential fall prevention measure.
METHODS: Subjects aged 55 years and above from the Malaysian Elders Longitudinal Research (MELoR) study with available information on vision and Montreal Cognitive Assessment (MoCA) scores were included. Data were obtained through a home-based interview and hospital-based health check by trained researchers. Visual acuity (VA) was assessed with logMAR score with vision impairment defined as VA 6/18 or worse in the better-seeing eye. Cognition was evaluated using the MoCA-Blind scoring procedure. Those with a MoCA-Blind score of <19/22 were considered to have cognitive impairment.
RESULTS: Data was available for 1144 participants, mean (SD) age = 68.57 (±7.23) years. Vision impairment was present in 143 (12.5 %) and 758 (66.3 %) had MoCA-Blind score of <19. Subjects with vision impairment were less likely to have a MoCA-Blind score of ≥19 (16.8 % vs 36.2 %, p < 0.001). Vision impairment was associated with poorer MoCA-Blind scores after adjustments for age, gender, and ethnicity (β = 2.064; 95 % CI, -1.282 to 3.320; P = 0.003). In those who had > 6 years of education attainment, vision impairment was associated with a significant reduction of cognitive function and remained so after adjustment for age and gender (β = 1.863; 95 % CI, 1.081-3.209; P = 0.025).
CONCLUSION: Our results suggest that vision impairment correlates with cognitive decline. Therefore, maintaining good vision is an important interventional strategy for preventing cognitive decline in older adults.
METHODS: Continuous raw PPG waveforms were blindly allocated into segments with an equal length (5s) without leveraging any pulse location information and were normalized with Z-score normalization methods. A 1-D-CNN was designed to automatically learn the intrinsic features of the PPG waveform, and perform the required classification. Several training hyperparameters (initial learning rate and gradient threshold) were varied to investigate the effect of these parameters on the performance of the network. Subsequently, this proposed network was trained and validated with 30 subjects, and then tested with eight subjects, with our local dataset. Moreover, two independent datasets downloaded from the PhysioNet MIMIC II database were used to evaluate the robustness of the proposed network.
RESULTS: A 13 layer 1-D-CNN model was designed. Within our local study dataset evaluation, the proposed network achieved a testing accuracy of 94.9%. The classification accuracy of two independent datasets also achieved satisfactory accuracy of 93.8% and 86.7% respectively. Our model achieved a comparable performance with most reported works, with the potential to show good generalization as the proposed network was evaluated with multiple cohorts (overall accuracy of 94.5%).
CONCLUSION: This paper demonstrated the feasibility and effectiveness of applying blind signal processing and deep learning techniques to PPG motion artifact detection, whereby manual feature thresholding was avoided and yet a high generalization ability was achieved.
METHOD: We conducted a search using the databases CINAHL, MEDLINE, EBSCOhost, PubMed, ProQuest, SAGE, ScienceDirect, SpringerLink, Web of Science, and Open repository/archive.
RESULTS: Twenty-five studies from Asia, Europe and America were selected. Included articles described randomized controlled trials (9), quasi-experimental studies (9), mixed-methods studies (2), participatory action research (3), and community-based intervention research (2). Social interventions described are group or cultural activities, personal/group monitoring and discussion, and communications devices. Intervention designed utilized theories, models, concepts, principles, and evidence from published literature.
CONCLUSION: Most social intervention studies evaluating health outcomes have been conducted in North America and Western Europe. Group-based activities were most commonly employed, but personal/group discussions, home visits and technology-based interactions have also been used. While social isolation is now a widely accepted risk factor for ill-health, research evidence for improvement of health through reduction of social isolation remains limited.
METHODS: This cross-sectional observational study included 75 older adults who were at least 3 months poststroke and 50 age-matched healthy controls. Depressive symptoms were quantified using the World Health Organization Quality of Life Brief version (WHOQoL-BREF). Physical function was examined using Functional Ambulation Category, grip strength, 5 times Sit-to-Stand test, and Box and Block tests. The Montreal Cognitive Assessment and visual-manual reaction time were used to index cognitive function. Depressive symptom was quantified using the Patient Health Questionnaire-9. The Barthel Index and Fatigue Severity Scale were used to quantify activity limitation. Social participation and environmental participation were assessed using the Assessment of Life Habit and Craig Hospital Inventory of Environment Factors, respectively. Linear stepwise regression models were used to determine explanators for WHOQoL-BREF domain scores.
RESULTS: Individuals with stroke demonstrated significantly worse QoL on all WHOQoL-BREF domains compared with healthy controls. Stroke was a strong determinant for QoL and explained 16% to 43% of variances. Adding other outcome measures significantly improved the robustness of the models (R change = 12%-32%). The physical, psychological, social, and environmental domains of WHOQoL-BREF were all explained by the LIFE-H scores (β = -10.58, -3.37, 4.24, -5.35, respectively), while psychological, social, and environmental domains were explained by Montreal Cognitive Assessment scores (β = .47, 0.78, 0.54, respectively).
CONCLUSION: Social participation and cognition were strong determinants of QoL among urban-dwelling older adults with stroke. Social and recreational activities and cognitive rehabilitation should therefore be evaluated as potential strategies to improve the well-being of older adults affected by stroke.
METHODS: 85 participants (43 fallers, 42 non-fallers) were evaluated with conventional MRI and diffusion tensor imaging (DTI) sequences of the brain. DTI metrics were obtained from selected WMT using tract-based spatial statistics (TBSS) method. This was followed by binary logistic regression to investigate the clinical variables that could act as confounding elements on the outcomes. The TBSS analysis was then repeated, but this time including all significant predictor variables from the regression analysis as TBSS covariates.
RESULTS: The mean diffusivity (MD) and axial diffusivity (AD) and to a lesser extent radial diffusivity (RD) values of the projection fibers and commissural bundles were significantly different in fallers (p < 0.05) compared to non-fallers. However, the final logistic regression model obtained showed that only functional reach, white matter lesion volume, hypertension and orthostatic hypotension demonstrated statistical significant differences between fallers and non-fallers. No significant differences were found in the DTI metrics when taking into account age and the four variables as covariates in the repeated analysis.
CONCLUSION: This DTI study of 85 subjects, do not support DTI metrics as a singular factor that contributes independently to the fall outcomes. Other clinical and imaging factors have to be taken into account.