AIMS: This paper aims to describe the profiles of diabetes mellitus type 2 in tertiary setting and to identify the risk factors for high level of HbA1c among the study population. The findings will give a glimpse on current status of diabetes in our country and may reflect the achievement of the country in combating this disease.
SETTINGS AND DESIGN: A cross-sectional study was conducted in UKM Medical Centre.
METHODS AND MATERIAL: Medical records of patient with E11 ICD-10 code were collected using Case Report Form.
STATISTICAL ANALYSIS USED: Descriptive analysis done of mean and median while test of association were done using Spearman correlation and logistic regression.
RESULTS: The results showed that majority of inpatients of DMT2 showed mean age of 58.8 + 12.6 years and most were males (56.7%) with secondary level of education (41.7%). Median duration of disease was 12.0 + 11.0 years with median HbA1c level of 8.9 ± 4.4%. Only small proportion of patients achieved the desired level of HbA1c <6.5% (21.3%) and significant association was found with tertiary level of education [AOR = 0.10, 95%CI = 0.01-0.96] and with type of anti-diabetic therapy [AOR = 15.90, 95%CI=1;2.03-124.30].
CONCLUSIONS: In conclusion, diabetes mellitus type 2 inpatients still showed unsatisfactory glycemic control and holistic approach using health education should be advocated continuously in the future in view of education being one of the predictors for the good HbA1c outcome.
MATERIALS AND METHODS: This longitudinal study included 2198 participants with mean age 43.4 ± 7.7 years, who underwent dental examinations in Yokohama, Japan, at two time points, 2003-2004 and 2008-2009, at an interval of 5 years. Periodontal condition was assessed by the mean value of probing pocket depth (PPD) and clinical attachment level (CAL). Glycaemic status was assessed by fasting glucose and glycated haemoglobin (HbA1c).
RESULTS: The cross-lagged panel models showed the effect of HbA1c at baseline on mean PPD at follow-up (β = 0.044, p = .039). There was a marginal effect of fasting glucose on the mean PPD (β = 0.037, p = .059). It was similar to the effect of fasting glucose or HbAlc on mean CAL. However, in the opposite direction, no effect of mean PPD or CAL at baseline on fasting glucose or HbAlc at follow-up was identified.
CONCLUSIONS: This study demonstrated a unidirectional relationship between glycaemic status and periodontal condition. The study population, however, had mostly mild periodontitis. Future studies are needed to investigate the effect of periodontal condition on glycaemic status in patients with severe periodontitis.
MATERIALS AND METHODS: This study was conducted as a sub-analysis of the ongoing "WE-RISE" randomized controlled trial. This study included 42 community-dwelling older adults, aged 60 years and above, with cognitive frailty, stratified into intervention (n=21) and control (n=21) groups who are receiving a multi-domain intervention and usual care, respectively, within the Klang Valley, Malaysia. Phone call interviews were conducted during the MCO period. Physical activity patterns were assessed using International Physical Activity Questionnaire (IPAQ) and Functional Activities Questionnaire (FAQ). Psychological wellbeing was assessed using Flourishing Scale (FS) and General Health Questionnaire (GHQ-12), while the Brief Coping Orientation to Problems Experienced (COPE) assessed coping strategies. Data were analysed descriptively and with independent samples t-test.
RESULTS: The WE-RISE intervention group had significantly higher levels of estimated resting energy expenditure (MET) for "walking activity" (I:μ=1723.1±780.7;C:μ=537.4±581.9)(p<0.001), "moderate activity" (I:μ=1422.8±1215.1;C:μ=405.7±746.9)(p=0.002) and "total physical activity" (I: μ=3625.9±3399.3;C:μ=994.6±1193.9)(p=0.002). The intervention group was also significantly more independent in functional activities (μ=1.76±1.73) as compared to the control group (μ=5.57±8.31) (p<0.05). Moreover, significant higher self-perception of living a meaningful life and feeling respected (p<0.05) was demonstrated in regard to psychological well-being in the intervention group. Regarding coping strategies, the intervention group relied significantly on the domains of religion (I:μ=6.43±0.99;C:μ=6.09±1.09)(p<0.05) and planning (I:μ=4.81±0.75; C:μ=4.04±1.28)(p<0.05) whilst the control group relied on humour (C:μ=3.14±1.19; I:μ=2.38±0.74)(p<0.05).
CONCLUSION: Participants of the WE-RISE intervention group were more physically active, functionally independent and had higher self-perceived social-psychological prosperity regarding living a meaningful life and feeling respected; whilst both groups relied on positive coping strategies during the MCO. These results indicate that it is vital to ensure older persons with cognitive frailty remain physically active and preserve their psychosocial wellbeing to be more resilient in preventing further decline during a crisis such as the COVID-19 pandemic.
METHODS: Data from the Asia Pacific Lupus Collaboration cohort, in which disease activity and medications were prospectively captured from 2013 to 2018, were used. Predictors of lymphopenia (lymphocyte count <0.8 × 109/l) and neutropenia (neutrophil count <1.5 × 109/l) were examined using multiple failure, time-dependent survival analyses.
RESULTS: Data from 2330 patients and 18 287 visits were analysed. One thousand and eighteen patients (43.7%) had at least one episode of leucopenia; 867 patients (37.2%) had lymphopenia, observed in 3065 (16.8%) visits, and 292 (12.5%) patients had neutropenia, in 622 (3.4%) visits. After multivariable analyses, lymphopenia was associated with overall disease activity, ESR, serology, prednisolone, AZA, MTX, tacrolimus, CYC and rituximab use. MTX and ciclosporin were negatively associated with neutropenia. Lupus low disease activity state was negatively associated with both lymphopenia and neutropenia.
CONCLUSION: Both lymphopenia and neutropenia were common in SLE patients but were differentially associated with disease and treatment variables. Lymphopenia and neutropenia should be considered independently in studies in SLE.
METHODS: Out of 1,249 older participants (aged 60 years and above) without MCR at baseline (Wave II of LRGS-TUA cohort study), 719 were successfully followed up after 3.5 years to identify predictors of subsequent MCR development. A comprehensive interview-based questionnaire was administered for sociodemographic information, cognitive function, psychosocial, functional status, and dietary intake. Anthropometric measurements, body composition, and physical performance were assessed. Univariate analyses were performed for each variable, followed by a hierarchical logistic regression analysis to identify the predictors of MCR that accounted for confounding effects between the studied factors.
RESULTS: The incidence rate of MCR was 4.0 per 100 person-years. Smoking (Adjusted Odd Ratio (Adj OR) = 1.782; 95% Confidence Interval (CI):1.050-3.024), hypertension (Adj OR = 1.725; 95% CI:1.094-2.721), decreased verbal memory as assessed by the lower Rey Auditory Verbal Learning Test (RAVLT) (Adj OR = 1.891; 95% CI:1.103-3.243), and decreased functional status measured using instrumental activity of daily living (IADL) (Adj OR = 4.710; 95% CI:1.319-16.823), were predictors for MCR incidence.
CONCLUSIONS: Our study results provide an initial reference for future studies to formulate effective preventive management and intervention strategies to reduce the growing burden of adverse health outcomes, particularly among Asian older adults.
DESIGN: Prospective cohort study.
SETTING: Community-dwelling older adults interviewed at baseline (2013-2016) and follow-up (2020-2022) as a part of the Malaysian Elders Longitudinal Research study were included.
PARTICIPANTS: Participants who attended face-to-face follow-up visits.
PRIMARY AND SECONDARY OUTCOME MEASURES: Fall occurrence over 12 months preceding the follow-up visit was determined. Anthropometric, bioimpedance analysis and physical performance measurements were obtained at both time points. Participants were categorised into three groups according to changes in weight and body composition using≥5% increase or decrease in weight to determine loss or gain.
RESULTS: Of the 225 participants, aged 71.8±6.8 years, 128 (56.9%) were women. Weight gain was associated with increased fall risk at follow-up compared with stable weight (adjusted rate ratio, aRR (95% confidence interval, CI)=2.86 (1.02-8.02)) following adjustments for age and body mass index (BMI), but this relationship was attenuated by low baseline percentage lean body mass (%LBM) in women. The association was strenghtened after adjusting for age, BMI, and low muscle strength (aRR (95% CI)=2.89 (1.01-8.28)). Weight change did not influence falls risk in men. No difference was observed with changes in percentage body fat and %LBM over time with fall occurrence for both genders.
CONCLUSION: Lower baseline lean body mass influenced the relationship between weight gain and falls longitudinally. Interventions addressing low lean body mass should be considered in the prevention of weight-gain-related falls in older women.
AIM: To determine the changes in frequency and pattern of anticholinergic drug use within a low- and middle-income country.
METHOD: Comparisons were made between population-based datasets collected from Malaysian residents aged 55 years and older in 2013-15 and 2020-22. Anticholinergic exposure was determined using the anticholinergic cognitive burden (ACB) tool. Drugs with ACB were categorised according to the Anatomical Therapeutic Chemical (ATC) classification.
RESULTS: A total number of 5707 medications were recorded from the 1616 participants included in the 2013-15 dataset. A total number of 6175 medications were recorded from 2733 participants in 2020-22. Two hundred and ninety-three (18.1%) and 280 (10.2%) participants consumed ≥ 1 medication with ACB ≥ 1 in 2013-15 and 2020-22 respectively. The use of nervous system drugs with ACB had increased (27 (0.47%) versus 39 (0.63%). The use of ACB drugs in the cardiovascular (224 (3.9%) versus 215 (3.4%)) and alimentary tract and metabolism (30 (0.52%) versus 4 (0.06%)) classes had reduced over time. Participants in 2020-22 were significantly less likely than those in 2013-15 to have total ACB = 1 - 2 (odds ratio [95% confidence interval] = 0.473[0.385-0.581]) and ACB ≥ 3 (0.251[0.137 - 0.460]) compared to ACB = 0 after adjustment for potential confounders (p