AIMS: A community-based longitudinal study was performed to determine the incidence and to identify possible predictors of multimorbidity among multiethnic older adults population in Malaysia.
METHODS: Comprehensive interview-based questionnaires were administered among 729 participants aged 60 years and above. Data were analyzed from the baseline data of older adults participating in the Towards Useful Aging (TUA) study (2014-2016) who were not affected by multimorbidity (349 without any chronic diseases and 380 with one disease). Multimorbidity was considered present in an individual reporting two or more chronic diseases.
RESULTS: After 1½ years of follow-up, 18.8% of participants who were initially free of any diseases and 40.9% of those with one disease at baseline, developed multimorbidity. The incidence rates were 13.7 per 100 person-years and 34.2 per 100 person-years, respectively. Female gender, smoking, and irregular preparing of food (lifestyle) were predictors for incidence of multimorbidity, especially in those without any disease, while Body Mass Index (BMI) 22-27 kg/m2 and inadequate daily intake of iron were identified as predictors of multimorbidity among participants who already have one disease.
CONCLUSIONS: The incidence rates of multimorbidity among Malaysian older adults were between the ranges of 14-34 per 100 person-years at a 1½-year follow-up. Gender, smoking, BMI 22-27 kg/m2, inadequate daily intake of iron and lack of engagement in leisure or lifestyle physical activities were possible predictors in the development of multimorbidity. There is a need to formulate effective preventive management strategies to decelerate multimorbidity among older adults.
METHODS: An analysis was conducted among 2237 older adults who participated in a longitudinal study on aging (LRGS TUA). This study involved four states in Malaysia, with 49.4% from urban areas. Respondents were divided into three categories of SES based on percentile, stratified according to urban and rural settings. SES was measured using household income.
RESULTS: The prevalence of low SES was higher among older adults in the rural area (50.6%) as compared to the urban area (49.4%). Factors associated with low SES among older adults in an urban setting were low dietary fibre intake (Adj OR:0.91),longer time for the Timed up and Go Test (Adj OR:1.09), greater disability (Adj OR:1.02), less frequent practice of caloric restriction (Adj OR:1.65), lower cognitive processing speed score (Adj OR:0.94) and lower protein intake (Adj OR:0.94). Whilst, among respondents from rural area, the factors associated with low SES were lack of dietary fibre intake (Adj OR:0.79), lower calf circumference (Adj OR: 0.91), lesser fresh fruits intake (Adj OR:0.91), greater disability (Adj OR:1.02) and having lower score in instrumental activities of daily living (Adj OR: 0.92).
CONCLUSION: Lower SES ismore prevalent in rural areas. Poor dietary intake, lower fitness and disability were common factors associated with low in SES, regardless of settings. Factors associated with low SES identifiedin both the urban and rural areas in our study may be useful inplanning strategies to combat low SES and its related problems among older adults.
METHODS: Matching variables from the Towards Useful Aging and Malaysian Elders Longitudinal Research datasets related to falls, physical performance and determinants of falls were identified and pooled for analysis. The Timed Up and Go test and dominant handgrip strength tests were used as physical performance measures. Falls were self-reported, and functional status was assessed using activities of daily living.
RESULTS: Data of 3935 participants, mean age 68.9 ± 6.8 years, 2127 (54.0%) women and 1807 (46.0%) men were extracted for analyses. In an adjusted model, independent risk factors for falls from this cohort studies were diabetes (OR 1.258), arthritis (OR 1.366), urinary incontinence (OR 1.346), poor self-rated health (OR 1.293), higher body mass index (OR 1.029) and lower handgrip strength (OR 1.234).
CONCLUSIONS: Although the risk factors that emerged from our analyses were similar to available studies among older adults, the Timed Up and Go test did not appear as one of the risk factors in the present study that included middle-aged adults. Our findings will require confirmation in a prospective study. Geriatr Gerontol Int 2019; 19: 798-803.
METHODS: This study is part of the Long-term Research Grant Scheme - Towards Useful Ageing cohort study in Malaysia. Of a total of 174 participants with complete trace elements and oxidative and DNA damage data during baseline, only 147 (84.5%) were successfully followed up after 18 months. Participants who experienced any fall events in the previous 18 months during the follow-up were categorized as fallers.
RESULTS: Thirty participants (20.4%) reported at least one fall in the previous 18 months. The mean concentrations of aluminium, lead and zinc were significantly higher (P
METHODS: Both quantitative and qualitative methods were used. A questionnaire was completed by 179 undergraduates (34 males and 145 females) aged between 18 to 25 years old. This was followed by an online, in-depth, one-to-one interview among 10 female undergraduates who reported severe musculoskeletal pain. The two sets of findings were integrated using a triangulation protocol.
RESULT: The three most common musculoskeletal pains experienced by undergraduates due to online learning were low back (73.2%), followed by neck (68.7%) and shoulder (58.7%) pain. The six main themes identified from the interviews were: (1) Musculoskeletal pain characteristics; (2) academic issues; (3) difficulties faced by undergraduates due to teaching and learning; (4) emotions towards work/study; (5) work environment; and (6) time spent working at a workstation. Upper back pain was identified to be associated with personal (p < 0.05) and most environmental factors (p < 0.05). From the triangulation model, it was shown that personal, academic stressors and environmental factors were mainly from the workstation, uncomfortable environment, working posture and time spent at the workstation, which all contributed to musculoskeletal pain.
CONCLUSIONS: This study showed that exercise, academic stressors, and environmental factors were associated with musculoskeletal pain among undergraduates due to online teaching and learning sessions. There may be a need to integrate an online prevention of musculoskeletal pain education package based on a biopsychosocial model with online teaching and learning for undergraduates.
METHODS: Searches were conducted in PubMed, EBSCO, Web of Science, and Cochrane library for studies published between January 2017 and December 2022. We followed the Joanna Briggs Institute guidelines and the framework by Arksey and O'Malley. Screening was undertaken by two reviewers, and data extraction was undertaken by the first author. Then, the data were further reviewed and discussed thoroughly with the team members.
RESULTS: A total of 31 results were identified, with the core criteria of developing and testing a telerehabilitation system, including a mobile app for cardiovascular diseases, cancer, diabetes, and chronic respiratory disorders. All developed systems resulted from multidisciplinary teams and employed mixed-methods research. We proposed the "input-process-output" framework that identified phases of both system design and usability testing. Through system design, we reported the use of user-centered design, iterative design, users' needs and characteristics, theory underpinning development, and the expert panel in 64%, 75%, 86%, 82%, and 71% of the studies, respectively. We recorded the application of moderated usability testing, unmoderated testing (1), and unmoderated testing (2) in 74%, 63%, and 15% of the studies, respectively. The identified design and testing activities produced a matured system, a high-fidelity prototype, and a released system in 81.5%, 15%, and 3.5%, respectively.
CONCLUSION: This review provides a framework for TR system design and testing for a wide range of chronic diseases that require prolonged management through remote monitoring using a mobile app. The identified "input-process-output" framework highlights the inputs, design, development, and improvement as components of the system design. It also identifies the "moderated-unmoderated" model for conducting usability testing. This review illustrates characteristics and functionalities of the TR systems and healthcare professional roles.
METHODS: A total of 755 older adults aged ≥60 years were recruited. Their cognitive performance was determined using the Clinical Dementia Rating. Fried's criteria was applied to identify physical frailty, and the Beck Depression Inventory assessed their mental states.
RESULTS: A total of 39.2% (n = 304) of the participants were classified as cognitive frail. In this cognitive frail subpopulation, 8.6% (n = 26) had clinical depressive symptoms, which were mostly somatic such as disturbance in sleep pattern, work difficulty, fatigue, and lack of appetite. Older adults with cognitive frailty also showed significantly higher depression levels as compared with the noncognitive frail participants (t (622.06) = -3.38; P = 0.001). There are significant associations between depression among older adults with cognitive frailty and multimorbidity (P = 0.009), polypharmacy (P = 0.009), vision problems (P = 0.046), and hearing problems (P = 0.047). The likelihood of older adults with cognitive frailty who experience impairments to their vision and hearing, polypharmacy, and multimorbidity to be depressed also increased by 2, 3, 5, and 7-fold.
CONCLUSIONS: The majority of the Malaysian community-dwelling older adults were in a good mental state. However, older adults with cognitive frailty are more susceptible to depression due to impairments to their hearing and vision, multimorbidity, and polypharmacy. As common clinical depressive symptoms among older adults with cognitive frailty are mostly somatic, it is crucial for health professionals to recognize these and not to disregard them as only physical illness. Geriatr Gerontol Int 2024; 24: 225-233.
AIM: This study aims to determine the use of one of three physical performance tests (2-minute step, 2-minute walk, and 1-minute sit to stand) to effectively estimate cardiorespiratory fitness among older adults with CF.
METHODS: In this cross-sectional study, community-dwelling individuals aged 60 years old and above in Klang Valley were screened for CF. The participants performed three physical performance tests (2-minute walk, 2-minute step, and 1-minute sit to stand) followed by treadmill-based maximal exercise testing on another day.
RESULTS: A total of 32 older adults with cognitive frailty (mean age; SD: 67.1;4.7 years) participated in this study. Nearly half of them had hypertension (43.5 %), hypercholesterolemia (43.5 %), and multimorbidity (47.8 %). Among the endurance tests performed, only the 2-minute walk test independently predicted VO2 max by sex-specific with men (R2 = 0.58, p = 0.03) and women (R2 = 0.34, p = 0.01). The 2-minute walk test had good agreement with VO2 max (ICC = 0.77, 95 % CI: -3.1-2.4).
CONCLUSION: The 2-minute walk test is a valid tool for estimating cardiorespiratory fitness among older adults with CF. However, it should be further tested across a larger population.
OBJECTIVE: The purpose of this study was to develop a Falls Screening Mobile App (FallSA), determine its acceptance, concurrent validity, test-retest reliability, discriminative ability, and predictive validity as a self-screening tool to identify fall risk among Malaysian older persons.
METHODS: FallSA acceptance was tested among 15 participants (mean age 65.93 [SD 7.42] years); its validity and reliability among 91 participants (mean age 67.34 [SD 5.97] years); discriminative ability and predictive validity among 610 participants (mean age 71.78 [SD 4.70] years). Acceptance of FallSA was assessed using a questionnaire, and it was validated against a comprehensive fall risk assessment tool, the Physiological Profile Assessment (PPA). Participants used FallSA to test their fall risk repeatedly twice within an hour. Its discriminative ability and predictive validity were determined by comparing participant fall risk scores between fallers and nonfallers and prospectively through a 6-month follow-up, respectively.
RESULTS: The findings of our study showed that FallSA had a high acceptance level with 80% (12/15) of older persons agreeing on its suitability as a falls self-screening tool. Concurrent validity test demonstrated a significant moderate correlation (r=.518, P
METHODS: A systematic literature search (MEDLINE, EMBASE, PsycINFO, EBSCOHOST, Scopus and EmCare) was undertaken from February 2018 to May 2020. Observational studies measuring associations between EF and PF subdomains among older adults were included.
RESULTS: Twenty-nine studies met the inclusion criteria. Twenty-seven studies reported associations between EF and PF. There were bidirectional associations between slower processing speed and slower gait speed; slower processing speed and lower muscle strength; and lower verbal fluency and slower gait speed. Lower muscle strength was unilaterally associated with lower working memory.
CONCLUSIONS: We found consistent bidirectional associations between processing speed with gait speed and muscle strength, and verbal fluency and gait speed. There was a unidirectional association between muscle strength and working memory. Common causal mechanisms for EF and PF require further studies.
Design: This was a retrospective cohort study.
Setting: The study was conducted in a community setting.
Participants: The participants were 1,086 community-dwelling older adults, with mean age of 69.6±5.6 years. Participants were categorized into fallers and nonfallers based on their history of falls in the past 12 months.
Method: Participants' sociodemographic data was taken, and SRMQ consisting of five falls-related questions was administered. Participants performed the TUG test twice, and the mean was taken as the result.
Results: A total of 161 participants were categorized as fallers (14.8%). Multivariate logistic regression analysis showed that the model (χ(2)(6)=61.0, p<0.001, Nagelkerke R(2)=0.10) consisting of the TUG test, sociodemographic factors (gender, cataract/glaucoma and joint pain), as well as the SRMQ items "previous falls history" (Q1) and "worried of falls" (Q5), was more robust in terms of falls risk association compared to that with TUG on its own (χ(2)(1)=10.3, p<0.001, Nagelkerke R(2)=0.02).
Conclusion: Combination of sociodemographic factors and SRMQ with TUG is more favorable as an initial falls risk screening tool among community-dwelling older adults. Subsequently, further comprehensive falls risk assessment may be performed in clinical settings to identify the specific impairments for effective management.
METHOD: This was a prospective study utilizing data from the Malaysian Elders Longitudinal Research (MELoR) study, which involved community-dwelling older adults aged 55 years and above at recruitment. Baseline (2013-2015) and wave 3 (2019) data were analyzed. Sarcopenia risk was determined using the strength, assistance walking, rising from a chair, climbing stairs, and falls (SARC-F) tool, with SARC-F ≥ 4 indicating sarcopenia. Baseline physical performance test scores were dichotomized using ROC-determined cut-offs.
RESULT: Data were available from 774 participants with mean age of 68.13 (SD = 7.13) years, 56.7% women. Cut-offs values for reduced GS, TUG, FR, and HGS were: <0.7 m/s (72.9% sensitivity and 53% specificity), >11.5 s (74.2%; 57.2%), <22.5 cm (73%; 54.2%) and HGS male <22 kg (70.0%; 26.7%) and female <17 kg (70.0%; 20.3%) respectively. Except for FR = 1.76 (1.01-3.06), GS = 2.29 (1.29-4.06), and TUG = 1.77 (1.00-3.13) were associated with increased sarcopenia risk after adjustments for baseline demographics and sarcopenia.
CONCLUSION: The defined cut-off values may be useful for the early detection of five-year sarcopenia risk in clinical and community settings. Despite HGS being a commonly used test to assess strength capacity in older adults, we advocate alternative strength measures, such as the sit-to-stand test, to be included in the assessment. Future studies should incorporate imaging modalities in the classification of sarcopenia to corroborate current study findings.