METHODS: Participants (n = 202) were aged ≥65 years with two or more falls or one injurious fall in the past year, whereas controls (n = 156) included volunteers aged ≥65 years with no falls in the past year. A detailed medication history was obtained alongside demographic data. Polypharmacy was defined as "regular use of five or more prescription drugs." FRID were identified as cardiovascular agents, central nervous system drugs, analgesics and endocrine drugs; multiple FRID were defined as two or more FRID. Multiple logistic regression analyses were used to adjust for confounders.
RESULTS: The use of non-steroidal anti-inflammatory drugs was independently associated with an increased risk of falls. Univariate analyses showed both polypharmacy (OR 2.23, 95% CI 1.39-3.56; P = 0.001) and the use of two or more FRID (OR 2.9, 95% CI 1.9-4.5; P = 0.0001) were significantly more likely amongst fallers. After adjustment for age, sex and comorbidities, blood pressure, and physical performance scores, polypharmacy was no longer associated with falls (OR 1.6, 95% CI 0.9-2.9; P = 0.102), whereas the consumption of two or more FRID remained a significant predictor for falls (OR 2.8, 95% CI 1.4-5.3; P = 0.001).
CONCLUSIONS: Among high risk fallers, the use of two or more FRID was an independent risk factor for falls instead of polypharmacy. Our findings will inform clinical practice in terms of medication reviews among older adults at higher risk of falls. Future intervention studies will seek to confirm whether avoidance or withdrawal of multiple FRID reduces the risk of future falls. Geriatr Gerontol Int 2017; 17: 463-470.
OBJECTIVE: To evaluate the potential relationship between falls and diabetes in older persons and identify differences in risk factors of falls among older persons with and without diabetes using the first wave dataset of the Malaysian Elders Longitudinal Research (MELoR) study.
METHODOLOGY: Community dwelling adults aged ≥ 55 years were selected through stratified random sampling from three parliamentary constituencies in greater Kuala Lumpur. Baseline data was obtained through computer-assisted, home-based interviews. The presence of falls was established by enquiring about falls in the preceding 12 months. Diabetes was defined as self-reported, physician-diagnosed diabetes, diabetes medication use and an HbA1c of ≥ 6.3%.
RESULTS: Diabetes was present in 44.4% of the overall 1610 participants. The prevalence for fall among older diabetics was 25.6%. Recurrent falls (odds ratio (OR) 1.65; 95% confidence interval (CI) 1.06-2.57) was more common among diabetics. Following adjustment for potential confounders, osteoporosis (OR 2.58; 95% CI 1.31-5.08) and dizziness (OR 1.50; 95% CI 1.01-2.23) were independent risk factors for falls. Better instrumental activities of daily living scores were protective against falls (OR 0.75; 95% CI 0.58-0.97).
CONCLUSION: The presence of osteoporosis and dizziness was associated with an increased risk of falls among older diabetics. These findings will need to be confirmed in future prospective follow-up of this cohort.
METHODS: A cross-sectional study was conducted at two primary care clinics in Kuala Lumpur, Malaysia, recruiting 271 participants by utilizing the universal sampling method. Every patient who attended both the clinics during the study period and met the inclusion and exclusion criteria were approached and briefed about the study. Patients who gave consent were recruited as study participants. Information on sociodemographic, medical condition, and lifestyle behaviors were obtained. The Montreal Cognitive Assessment (MoCA) was used to screen for MCI at a score < 23. The World Health Organization Quality of Life-BREF (WHOQOL-BREF) questionnaire was used to evaluate QOL.
RESULTS: Prevalence of MCI was 27.3%. Lower QOL scores were found in the physical (67.3 ± 1.4), psychological (67.3 ± 1.4), social (66.9 ± 1.6) and environmental (71.3 ± 1.3) domains among participants with MCI. Among them, predictors of QOL were depression in the physical domain, age and stroke in the psychological domain, presence of other types of disorders in the social domain and diabetes and stroke in the environmental domain.
CONCLUSIONS: MCI was prevalent among study participants and were associated with poorer QOL in all domains of QOL. A better understanding of predictors of QOL in older people with MCI is deemed important.
CLINICAL IMPLICATION: Routine cognitive screening at primary care clinics will facilitate early recognition of MCI and facilitates referral to memory clinics for further assessment and treatment.
METHODS: Both ictal and interictal ESI were performed by the use of patient-specific realistic forward models and 3 different linear distributed inverse models. Lateralization as well as concordance between ESI-estimated focuses and single-photon emission computed tomography (SPECT) focuses were assessed.
RESULTS: All the ESI focuses (both ictal and interictal) were found lateralized to the same hemisphere as ictal SPECT focuses. Lateralization results also were in agreement with the lesion sides as visualized on magnetic resonance imaging. Ictal ESI results, obtained from the best-performing inverse model, were fully concordant with the same cortical lobe as SPECT focuses, whereas the corresponding concordance rate is 87.50% in case of interictal ESI.
CONCLUSIONS: Our findings show that ictal ESI gives fully lateralized and highly concordant results with ictal SPECT and may provide a cost-effective substitute for ictal SPECT.
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: A total of 1210 participants 60 years and above, representing the three main ethnic groups were recruited from a larger cohort study. Weighted factors valued for comparison included socio demographics and health status. Knowledge of and attitude and behaviour towards personal oral health were also assessed. Dentition status, adapted from WHO oral health guidelines, was the dependent variable investigated. Data were analysed using descriptive chi square test and multivariate binary logistic regression.
RESULTS: Overall, 1187 respondents completed the study. The dentition status and oral health related knowledge, attitude and behaviour varied between the three ethnic groups. The Chinese were significantly less likely to have ≥13 missing teeth (OR = 0.698, 95% CI: 0.521-0.937) and ≥1 decayed teeth (0.653; 0.519-0.932) compared to the Malays, while the Indians were significantly less likely than the Malays to have ≥1 decayed teeth (0.695; 0.519-0.932) and ≥2 filled teeth (0.781; 0.540-1.128).
CONCLUSION: Ethnic differences in dentition outcome are related to oral health utilization highlighting the influence of cultural differences and the need for culturally sensitivity interventions.
Methods: A total of 152 participants (dementia = 53, MCI = 38, controls = 61) were recruited from two teaching hospitals. The Malay version of ACE-III was translated following the standard guidelines for cross-cultural adaptation of measure. All the participants were assessed with the Malay version of ACE-III and Mini-Mental State Examination (MMSE).
Results: The reliability of the Malay version of ACE-III was good with Cronbach's α coefficient of 0.829 and intraclass correlation coefficient of 0.959. There was a strong positive correlation between the Malay version of ACE-III and MMSE (r = 0.806). Age (r = -0.335) and years of education (r = 0.536) exerted a significant correlation with total score performance. The cutoff score to discriminate dementia from healthy controls was 74/75 (sensitivity = 90.6%, specificity = 82.0%) whereas to discriminate MCI, the cutoff score was 77/78 (sensitivity = 63.2%, specificity = 63.9%). The diagnostic accuracy of ACE-III was higher than that of MMSE in the detection of dementia (area under the curve: ACE-III = 0.929 vs. MMSE = 0.915).
Conclusions: The Malay version of ACE-III demonstrated to be a reliable and valid screening tool for dementia.