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.
METHODS: A cross-sectional study was carried out among 1294 married Malaysian older couples who were randomly selected from all 14 states in Malaysia. The data were collected by trained enumerators using a set of validated questionnaires consisting of eight sections, namely sociodemographic characteristics, chronic diseases, perceived health status, life satisfaction, body mass index, disability status (World Health Organization Disability Assessment Schedule), social support (Lubben Social Network Scale) and sexual intimacy.
RESULTS: Having good social support (AOR 0.57, 95% CI 0.45-0.74) from family and friends were protective determinants against poor sexual intimacy in later life. Meanwhile, those who were aged 70-79 years (AOR 1.81, 95% CI 1.35-2.42), aged >80 years (AOR 35.49, 95% CI 4.80-262.18), women (AOR 1.47, 95% CI 1.13-1.90), non-Malay (AOR 1.93, 95% CI 1.50-2.48), received only informal education (AOR 1.81, 95% CI 1.35-2.42), had gastritis (AOR 2.62, 95% CI 1.58-4.34), had a stroke (AOR 3.83, 95% CI 1.04-14.12), perceived their current health status was satisfactory (AOR 1.52, 95% CI 1.15-2.00) and disabled based on the World Health Organization Disability Assessment Schedule (AOR 3.14, 95% CI 1.34-7.36) were at risk of poor sexual intimacy.
CONCLUSIONS: The majority of older Malaysian couples were having poor sexual intimacy despite being still married and sleeping with their partners, reflecting the presence of underlying barriers towards sexual intimacy in later life among older Malaysians. Geriatr Gerontol Int 2019; 19: 492-496.
METHODS: A literature search was performed on six databases using the terms "malnutrition", "hospitalised elderly", "nutritional assessment", "Mini Nutritional Assessment (MNA)", "Geriatric Nutrition Risk Index (GNRI)", and "Subjective Global Assessment (SGA)".
RESULTS: According to the previous studies, the prevalence of malnutrition among hospitalized elderly shows an increasing trend not only locally but also across the world. Under-recognition of malnutrition causes the number of malnourished hospitalized elderly to remain high throughout the years. Thus, the development of nutritional screening and assessment tools has been widely studied, and these tools are readily available nowadays. SGA, MNA, and GNRI are the nutritional assessment tools developed specifically for the elderly and are well validated in most countries. However, to date, there is no single tool that can be considered as the universal gold standard for the diagnosis of nutritional status in hospitalized patients.
CONCLUSION: It is important to identify which nutritional assessment tool is suitable to be used in this group to ensure that a structured assessment and documentation of nutritional status can be established. An early and accurate identification of the appropriate treatment of malnutrition can be done as soon as possible, and thus, the malnutrition rate among this group can be minimized in the future.
METHODS: Data from the Malaysian elders longitudinal research (MELoR) study were utilised. Baseline data were obtained from home-based computer-assisted interviews and hospital-based health-checks from 2013 to 2015. Protocol of MELoR study has been described in previous study (Lim in PLoS One 12(3):e0173466, 2017). Follow-up interviews were conducted in 2019 during which data on the adverse outcomes of falls, sarcopenia, hospitalization, and memory worsening were obtained. Sarcopenia at follow-up was determined using the strength, assistance with walking, rising from a chair, climbing stairs, and falls (SARC-F) questionnaire.
RESULTS: Follow-up data was available for 776 participants, mean (SD) age 68.1 (7.1) years and 57.1% women. At baseline, 37.1% were robust, 12.8% had isolated cognitive impairment, 24.1% were prefrail, 1.0% were frail, 20.2% were prefrail with cognitive impairment, and 4.8% had CF. Differences in age, ethnicity, quality of life, psychological status, function and comorbidities were observed across groups. The association between CF with hospitalisation and falls compared to robust individuals was attenuated by ethnic differences. Pre-frail individuals were at increased risk of memory worsening compared robust individuals [aOR(95%CI) = 1.69 (1.09-2.60)]. Frail [7.70 (1.55-38.20)], prefrail with cognitive impairment [3.35 (1.76-6.39)] and CF [6.15 (2.35-16.11)] were significantly more likely to be sarcopenic at 5-year follow-up compared to the robust group.
CONCLUSIONS: Cognitive frailty was an independently predictor of sarcopenia at 5-year follow-up. The relationship between CF with falls and hospitalization, however, appeared to be accounted for by ethnic disparities. Future studies should seek to unravel the potential genetic and lifestyle variations between ethnic groups to identify potential interventions to reduce the adverse outcomes associated with CF.
OBJECTIVES: The authors describe the frailty and cognitive profile of middle-aged and older adults with CHD to identify predictor variables and to explore the relationship with hospital admissions and outpatient visits.
METHODS: Using a cross-sectional, multicentric design, we included 814 patients aged ≥40 years from 11 countries. Frailty phenotype was determined using the Fried method. Cognitive function was assessed by the Montreal Cognitive Assessment.
RESULTS: In this sample, 52.3% of patients were assessed as robust, 41.9% as prefrail, and 5.8% as frail; 38.8% had cognitive dysfunction. Multinomial regression showed that frailty was associated with older age, female sex, higher physiologic class, and comorbidities. Counterintuitively, patients with mild heart defects were more likely than those with complex lesions to be prefrail. Patients from middle-income countries displayed more prefrailty than those from higher-income countries. Logistic regression demonstrated that cognitive dysfunction was related to older age, comorbidities, and lower country-level income.
CONCLUSIONS: Approximately one-half of included patients were (pre-)frail, and more than one-third experienced cognitive impairment. Frailty and cognitive dysfunction were identified in patients with mild CHD, indicating that these concerns extend beyond severe CHD. Assessing frailty and cognition routinely could offer valuable insights into this aging population.
METHODS: A total of 144 community dwelling older adults (mean age of 70.69 ± 4.3 years) participated in this study. Physical performance were assessed using timed up and go (TUG), gait speed (GS), chair stand and hand grip tests. Fall Awareness Behaviour (FaB) and Fall Risk Assessment Questionnaires (FRAQ) were administered to assess behaviour and fall prevention knowledge respectively.
RESULTS: Stepwise linear regression analysis showed that the practice of fall awareness behaviour (R2 = 0.256) was significantly associated with being male [95% C.I: 2.178 to 7.789, p
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: This prospective cohort study utilized stratified simple random sampling to recruit 1614 participants from the Malaysian Elders Longitudinal Research aged above 55 years within the Klang Valley region from 2013 to 2015. Individual items for the frailty tools, alongside baseline physical and cognitive measures were extracted from the initial survey. Mortality data up to 31 December 2020 were obtained through data linkage from the death registry data obtained from the Malaysian National Registration Department.
RESULTS: Data were available for over 1609 participants, age (68.92 ± 7.52) years and 57 % women, during recruitment. Mortality data revealed 13.4 % had died as of 31 December 2020. Five to 25 % of our study population fulfilled the criteria for frailty using all four frailty tools. This study found an increased risk of mortality with frailty following adjustments for potential factors of falls, total number of illnesses and cognitive impairment, alongside moderate to strong correlation and agreement between frailty tools.
CONCLUSION: Frailty was associated with increased mortality. All four frailty assessment tools can be used to assess frailty within the Malaysian older adult population. The four available tools, however, may not be interchangeable.
PATIENTS AND METHODS: CGA data was collected from 249 Asian patients aged 70 years or older. Nutritional risk was assessed based on the Nutrition Screening Initiative (NSI) checklist. Univariate and multivariate logistic regression analyses were applied to assess the association between patient clinical factors together with domains within the CGA and moderate to high nutritional risk. Goodness of fit was assessed using Hosmer-Lemeshow test. Discrimination ability was assessed based on the area under the receiver operating characteristics curve (AUC). Internal validation was performed using simulated datasets via bootstrapping.
RESULTS: Among the 249 patients, 184 (74%) had moderate to high nutritional risk. Multivariate logistic regression analysis identified stage 3-4 disease (Odds Ratio [OR] 2.54; 95% CI, 1.14-5.69), ECOG performance status of 2-4 (OR 3.04; 95% CI, 1.57-5.88), presence of depression (OR 5.99; 95% CI, 1.99-18.02) and haemoglobin levels <12 g/dL (OR 3.00; 95% CI 1.54-5.84) as significant independent factors associated with moderate to high nutritional risk. The model achieved good calibration (Hosmer-Lemeshow test's p = 0.17) and discrimination (AUC = 0.80). It retained good calibration and discrimination (bias-corrected AUC = 0.79) under internal validation.
CONCLUSION: Having advanced stage of cancer, poor performance status, depression and anaemia were found to be predictors of moderate to high nutritional risk. Early identification of patients with these risk factors will allow for nutritional interventions that may improve treatment tolerance, quality of life and survival outcomes.
METHODS: Using data from a random population sample of noninstitutionalized Chinese, Malay, and Indian older adults 60 years old and older in Singapore (N = 1072), we modeled the dimensional structure of the 8-item IADL Scale using exploratory and confirmatory factor analyses, and assessed its convergent and divergent validity using known group differences and strengths of association.
RESULTS: Factor analyses yielded two strong and reliable factors representing underlying physical and cognitive dimensions of IADL. The validity of the model was supported by the pattern of associations of the IADL with age, gender, education, self-reported health status, hospitalization, physical comorbidities, dementia and depression, and Mini-Mental State Examination (MMSE) scores. Notably, cognitive IADL showed a greater total effect on MMSE cognitive performance score than did physical IADL, with the effect of physical IADL on MMSE score mostly explained by cognitive IADL. Reasonably good cross-cultural validity was demonstrated among Chinese, Malays, and Indians, with strongest validity for Indians.
CONCLUSION: The eight-item IADL Scale has physical and cognitive domains and is cross-culturally applicable. The cognitive IADL domain taps a set of activities directly related to cognitive functioning.
METHODS: A cross-sectional design was used to evaluate interrater reliability where the HOME FAST was used simultaneously in the homes of older people by 2 raters and a prospective design was used to evaluate test-retest reliability with a separate group of older people at different times in their homes. Both studies took place in an urban area of Kuala Lumpur.
RESULTS: Professionals from 9 professional backgrounds participated as raters in this study, and a group of 51 community older people were recruited for the interrater reliability study and another group of 30 for the test-retest reliability study. The overall agreement was moderate for interrater reliability and good for test-retest reliability. The HOME FAST was consistently rated by different professionals, and no bias was found among the multiple raters.
CONCLUSION: The HOME FAST can be used with confidence by a variety of professionals across different settings. The HOME FAST can become a universal tool to screen for home hazards related to falls.
DESIGN: Two-year prospective cohort study.
SETTING: Kuala Pilah, a district in Negeri Sembilan approximately 100 km from the capital city, Kuala Lumpur.
PARTICIPANTS: Community-dwelling older adults aged 60 and older. Using a multistage cluster sampling strategy, 1,927 respondents were recruited and assessed at baseline, of whom 1,189 were re-assessed 2 years later.
MEASURES: EAN was determined using the modified Conflict Tactic Scale, and chronic pain was assessed through self-report using validated questions.
RESULTS: The prevalence of chronic pain was 20.4%. Cross-sectional results revealed 8 variables significantly associated with chronic pain-age, education, income, comorbidities, self-rated health, depression, gait speed, and EAN. Abused elderly adults were 1.52 times as likely to have chronic pain (odds ratio=1.52, 95% confidence interval (CI)=1.03-2.27), although longitudinal analyses showed no relationship between EAN and risk of chronic pain (risk ratio=1.14, 95% CI=0.81-1.60). This lack of causal link was consistent when comparing analysis with complete cases with that of imputed data.
CONCLUSION: Our findings indicate no temporal relationship between EAN and chronic pain but indicated cross-sectional associations between the two. This might indicate that, although EAN does not lead to chronic pain, individuals with greater physical limitations are more vulnerable to abuse. Our study also shows the importance of cohort design in determining causal relationships between EAN and potentially linked health outcomes.