METHODS: This non-interventional study was conducted from August 2016 to April 2017. A total of 138 patients (aged 18-65 years) with an active episode of major depression were recruited from Malaysia, Philippines, Singapore and Thailand. Vortioxetine was initiated on the first visit and patients were followed for 3 months. Depression severity was assessed using the PHQ-9 questionnaire (patient assessed) and CGI-S scale (physician assessed); cognitive function was assessed with the PDQ-D questionnaire; work productivity and activity impairment (WPAI) was assessed with the WPAI questionnaire.
RESULTS: At baseline, 89.9% of patients were moderately to severely depressed (PHQ-9 score ≥10). During the 3 month treatment period, mean ± SD PHQ-9 score decreased from 18.7 ± 5.7 to 5.0 ± 5.3, mean ± SD CGI-S score decreased from 4.4 ± 0.7 to 2.2 ± 1.1 and mean ± SD PDQ-D score decreased from 42.1 ± 18.8 to 13.4 ± 13.0. By Month 3, response and remission rates reached 80.8% and 59.0%, respectively. Work productivity loss decreased from 73.6% to 30.5%, while activity impairment decreased from 71.5% to 24.6%. Positive correlations were observed between PHQ-9, PDQ-D, and WPAI work productivity loss and activity impairment. By Month 3, 82.0% of patients were either not depressed or only mildly depressed (PHQ-9 score ≤9).
CONCLUSION: In real-world clinical settings, vortioxetine was effective in reducing depression severity and improving cognitive function and work productivity in SEA patients with major depression.
METHODS: A total of 110 hospitalized geriatric patients aged 60 years and older were selected using convenience sampling method in a cross-sectional study. Sociodemographic data and medical history were obtained from the medical records. Questionnaires were used during the in-person semistructured interviews, which were conducted in the wards. Linear regression analyses were used to determine the predictors of each domain of quality of life.
RESULTS: Multiple regression analysis showed that activities of daily living, depression, and appetite were the determinants of physical health domain of quality of life (R(2)=0.633, F(3, 67)=38.462; P<0.001), whereas depression and instrumental activities of daily living contributed to 55.8% of the variability in psychological domain (R(2)=0.558, F(2, 68)=42.953; P<0.001). Social support and cognitive status were the determinants of social relationship (R(2)=0.539, F(2, 68)=39.763; P<0.001) and also for the environmental domain of the quality of life (R(2)=0.496, F(2, 68)=33.403; P<0.001).
CONCLUSION: The findings indicated different predictors for each domain in the quality of life among hospitalized geriatric patients with diabetes mellitus. Nutritional, functional, and psychological aspects should be incorporated into rehabilitation support programs prior to discharge in order to improve patients' quality of life.
METHODS: A cross-sectional study was conducted among Palestinians > 60 years living in Hebron, West Bank. The Falls Efficacy Scale-International was used to predict falls among Palestinian older adults. Moreover, socio-demographic data, medical history, lifestyle habits, body composition, nutritional status, cognitive status (using the Montreal cognitive assessment tool), and functional status (using activities of daily living and instrumental activities of daily living scale), the presence of depressive symptoms (using geriatric depression scale), and physical fitness performance (using senior fitness test) were collected through an interview-based questionnaire. Data were analyzed using univariate and multivariate approach.
RESULTS: A total of 200 participants were included in the study; 137 (68.5%) females and 63 (31.5%) males. Mean age was 70.5 ± 5.7 years, ranged from 65 to 98 years old. Fear of falling was significantly higher among older adults with advanced aged, living in villages or camps, low educational level, and being married (p < 0.05). Functional status (ADL and IADL), physical fitness status (timed up and go), and depression symptoms were significantly related to fear of falling (p < 0.05).
CONCLUSION: High concern of falling is significantly associated with advanced age, low education level, being married, and living in villages or camps. ADLs were among the factors that had a significant relationship with increased fear of falling. Predictors of fear of falling among Palestinian older adults were IADL scores, body fat percentage, rapid gait speed, timed up and go test. Future studies could investigate further correlates of fear of falling among older adults.
METHODS: Data from the National Health and Morbidity Survey 2018, a nation-wide, cross-sectional survey using a two-stage stratified sampling design, were analyzed. A representative sample of individuals aged ≥60 years identified through national sampling frames throughout Malaysia was included. Face-to-face interviews were conducted using validated questionnaires on activities of daily living (ADL) and instrumental ADL (IADL). Social support was measured using the Duke Social Support Index.
RESULTS: The overall prevalence of the presence of any limitations in ADL and IADL was 17.0% and 42.9% respectively. Overall prevalence of the older persons with low to fair social support was 30.8% and high to very high social support was 69.2%. Logistic regression analysis identified the following factors as being associated with limitations in ADL and IADL: being female, of older age, having a monthly income
METHODS: Data from a nation-wide community-based cross-sectional study were analyzed. This study was conducted using a two-stage stratified random sampling design. In total, 3772 older adults aged ≥60 years responded to the survey. Depression was identified using a validated Malay version of the Geriatric Depression Scale (M-GDS-14), with those scored ≥6 categorized as having depression. Functional limitations were assessed using both Barthel's Activities of Daily Living (ADL) and Lawton's Instrumental Activities of Daily Living (IADL). The relationship was determined by multivariate logistic regression, adjusted for other variables.
RESULTS: The prevalence of depression was 11.5% (95% confidence interval [CI] 9.4, 13.4). Multiple logistic regression analysis found that older adults with limitations in ADL were 2.6 times more likely of having depression (adjusted odds ratio [aOR] 2.58, 95% CI 2.01, 3.32), while those with limitations in IADL the risk of having depression was almost doubled (aOR 1.68, 95% CI: 1.32, 2.14). Other significant factors were incontinence (aOR 3.33, 95% CI: 2.33, 4.74), chronic medical illness (aOR 1.44, 95% CI: 1.15, 1.81), current smoker (aOR 4.19, 95% CI: 1.69, 10.39), poor social support (aOR 4.30, 95% CI: 2.98, 6.20), do not have partner, ethnic minorities and low individual monthly income.
CONCLUSIONS: Older adults with functional limitation in both basic ADL and complex IADL are independently at higher risk of having depression. Geriatr Gerontol Int 2020; 20: 21-25.
AIM: The study aimed to identify the effectiveness of the buddy program training module to enhance the daily living function, social participation and emotional status of older adults in residential aged care homes.
METHODS: A quasi-experimental study was conducted with 30 pairs of buddies and older adults for both the experimental group and control group in two randomly selected residential aged care homes. The buddies in the experimental group received the buddy program training module related to activities of daily living (basic and instrumental) while the buddy-older adults pairs in the control group continued to perform their usual daily life activities in residential aged care homes. Baselines were performed before intervention and at eight weeks post-intervention.
RESULTS: Over the eight weeks, for the older adults in the experimental group, there was a significant main effect of time after the intervention on BADL (p = 0.010). There were no significant interaction effects for the experiment group and control group on IADL and social participation. Also, there were no significant interaction effects for all domains in emotional status: depression, anxiety and stress. For buddies, there was a significant interaction effect for depression (p = 0.045) in the control group.
CONCLUSIONS: The buddy program training module can be used as a guideline for older adults with more significant disabilities in residential aged care homes in managing activities of daily living. Future studies could be implemented to explore the intergenerational buddy program among older adults and young children in the community.