METHODS: Prostate cancer cases diagnosed between 2003 and 2008 which met with the inclusion criteria were included in the study. One hundred and twelfth (112) pairs of cases and controls matched by age and ethnicity were analysed. McNemar Odds Ratios (OR(M)) were calculated using McNemar Calculator software for univariate analysis while conditional logistic regression was used for multivariate analysis, both using SPSS version 12.0.
RESULTS: Most of the prostate cancer patients (68.8%) that came for treatment in UKMMC were above 70 years old. The majority were Chinese (50.0%) followed by Malay (46.4%) and Indian (3.6%). Multivariate analysis showed cases were more likely to have a first-degree relative with a history of cancer (OR= 3.77, 95% CI= 1.19-11.85), to have been exposed to pesticides (OR= 5.57, 95% CI= 1.75-17.78) and consumed more meat (OR= 12.23, 95% CI= 3.89-39.01). Significantly reduced risks of prostate cancer were noted among those consuming more vegetables (OR= 0.12, 95% CI= 0.02-0.84), more tomatoes (OR= 0.35, 95% CI= 0.13-0.93) and those who had frequent sexual intercourse (OR= 0.44, 95% CI= 0.19-0.96).
CONCLUSION: Some lifestyle and occupation factors are strong predictors of the occurrence of prostate cancer among patients in UKMMC. More importantly, with the identification of the potentially modifiable risk factors, proper public health intervention can be improved.
METHODS: This was a cross-sectional study carried out in HCTM, UKM, Kuala Lumpur. TS participants who attended clinic in HCTM, UKM and controls who were hospital staff members were recruited via purposive sampling. TS participants' sociodemographic and clinical profiles were retrieved from medical records. Two validated, translated questionnaires; World Health Organization Quality of Life (WHOQOL-BREF) questionnaire and Body Image Disturbances Questionnaires (BIDQ) were completed by participants.
RESULTS: A total of 34 TS patients were approached and 24 (70.5%) of them participated in this study. Their median (IQR) age was 24.0 (7.0) years and their responses were compared to 60 age-matched healthy females as controls [median age (IQR) = 24.0 (8.0) years]. The most common medical problem in TS participants was premature ovarian insufficiency (n = 23; 95.8%). There were no significant differences between TS and control groups' median scores (overall QOL; 4.00 vs. 4.00, general health; 3.50 vs. 4.00, physical health; 14.86 vs. 15.43, psychological health; 14.67 vs. 14.00 and environment; 15.00 vs. 15.50) of the different WHOQOL-BREF domains. However, TS participants were found to score 13.33 against 16.00, lower than the control group (p
Aim: To report the rate of misdiagnosis and its associated risk factors in Malaysian children and adolescents with T1DM.
Methods: A retrospective analysis of children with T1DM below 18 years of age over a 10 year period was conducted.
Results: The cohort included 119 children (53.8% female) with a mean age 8.1 SD ± 3.9 years. 38.7% of cases were misdiagnosed, of which respiratory illnesses were the most common (37.0%) misdiagnosis. The rate of misdiagnosis remained the same over the 10 year period. Among the variables examined, younger age at presentation, DKA at presentation, healthcare professional (HCP) contact and admission to the intensive care unit were significantly different between the misdiagnosed and correctly diagnosed groups (p <0.05).
Conclusion: Misdiagnosis of T1DM occurs more frequently in Malaysian children <5 years of age. Misdiagnosed cases are at a higher risk of presenting in DKA with increased risk of ICU admission and more likely to have had prior HCP contact. Awareness of T1DM amongst healthcare professionals is crucial for early identification, prevention of DKA and reducing rates of misdiagnosis.
DESIGN: A population-based cross-sectional study.
SETTING: 13 states and 3 Federal Territories in Malaysia.
PARTICIPANTS: A total of 3966 adults aged 60 years and above were extracted from the nationwide National Health and Morbidity Survey (NHMS) 2018 data set.
PRIMARY OUTCOME MEASURES: Multimorbidity was defined as co-occurrence of at least two known chronic non-communicable diseases in the same individual. The chronic diseases included hypertension, type 2 diabetes mellitus, dyslipidaemia and cancer.
RESULTS: The prevalence of multimorbidity among Malaysian older adults was 40.6% (95% CI: 37.9 to 43.3). The factors associated with multimorbidity were those aged 70-79 years (adjusted OR (AOR)=1.30; 95% CI=1.04 to 1.63; p=0.019), of Indian (AOR=1.69; 95% CI=1.14 to 2.52; p=0.010) and Bumiputera Sarawak ethnicities (AOR=1.81; 95% CI=1.14 to 2.89; p=0.013), unemployed (AOR=1.53; 95% CI=1.20 to 1.95; p=0.001), with functional limitation from activities of daily livings (AOR=1.66; 95% CI=1.17 to 2.37; p=0.005), physically inactive (AOR=1.28; 95% CI=1.03 to 1.60; p=0.026), being overweight (AOR=1.62; 95% CI=1.11 to 2.36; p=0.014), obese (AOR=1.88; 95% CI=1.27 to 2.77; p=0.002) and with abdominal obesity (AOR=1.52; 95% CI=1.11 to 2.07; p=0.009).
CONCLUSION: This study highlighted that multimorbidity was prevalent among older adults in the community. Thus, there is a need for future studies to evaluate preventive strategies to prevent or delay multimorbidity among older adults in order to promote healthy and productive ageing.
METHODS: The forward-backward and dual-panel versions of HeartQoL were self-administered among 60 participants who met the inclusion criteria of being a native Bahasa Malaysia-speaking Malay, aged 18 and older, having an indexed diagnosis of ischaemic heart disease and being cognitively fit. The administration sequence of the two versions was randomized. Additionally, three sociolinguists, who were blinded to translation processes and survey findings, rated the translated versions against the source version on three aspects of semantic equivalence.
RESULTS: Textual content in both translated versions was considerably similar (n = 9/14 items, ≈64%). The overall results from weighted kappa, raw agreement, intraclass correlations, and Wilcoxon signed-rank as well as experts' ratings were confirmative of semantic equivalence between the forward-backward and dual-panel versions of the HeartQoL. However, some mixed findings were indicative of potential gaps in both translated versions against the source version.
CONCLUSION: Both the forward-backward and dual-panel methods produced semantically equivalent versions of HeartQoL; but translation alone is insufficient to narrow the subtle gaps caused by differences in culture and linguistic style.
MATERIALS AND METHODS: A total of 81 cases of oral cancers were matched with 162 controls in this hospital-based study. Information on sociodemographic characteristics and details of risk habits (duration, frequency and type of tobacco consumption and betel quid chewing) were collected. Association between smoking and betel quid chewing with oral cancer were analysed using conditional logistic regression.
RESULTS: Slightly more than half of the cases (55.6%) were smokers where 88.9% of them smoked kretek. After adjusting for confounders, smokers have two fold increased risk, while the risk for kretek consumers and those smoking for more than 10 years was increased to almost three-fold. Prevalence of betel quid chewing among cases and controls was low (7.4% and 1.9% respectively). Chewing of at least one quid per day, and quid combination of betel leaf, areca nut, lime and tobacco conferred a 5-6 fold increased risk.
CONCLUSIONS: Smoking is positively associated with oral cancer risk. A similar direct association was also seen among betel quid chewers.
METHODS: A cross-sectional survey was conducted on all Malaysian ethnic groups aged ≥15 years old at eight strategically chosen shopping malls within a two week time period. Data were analysed using chi-square tests and multiple logistic regression. Significance level was set at α<0.05.
RESULTS: Most (84.2%) respondents had heard of oral cancer. Smoking was the most (92.4%) recognized high risk habit. Similar levels of awareness were seen for unhealed ulcers (57.3%) and red/white patches (58.0%) as signs of oral cancer. Age, gender, ethnicity, marital status, education, occupation and income were significantly associated with oral cancer awareness (p<0.05).
CONCLUSIONS: There was a general lack of awareness regarding the risk habits, early signs and symptoms, and the benefits of detecting this disease at an early stage. Mass media and health campaigns were the main sources of information about oral cancer. In our Malaysian population, gender and age were significantly associated with the awareness of early signs and symptoms and prevention of oral cancer, respectively.