MATERIALS AND METHODS: The secondary data analysis was conducted using the National Eye Database from 2007 to 2014. Demographic features, ocular comorbidities, technique of surgery, grade of surgeons, types of intraoperative complications, and reasons for not obtaining good visual acuity following intraoperative complications were studied. Statistics was done using Statistical Package for Social Sciences version 20.
RESULTS: Out of 12,992 eyes, 6.1% had intraoperative complications. The highest rate of complications was when more trainees (medical officers [MOs] and gazetting specialists) operated. Posterior capsule rupture (PCR) was the most common complication followed by vitreous loss and zonular dehiscence. Those aged below 40 years had more complications (P < 0.05), and females had more complications. Ethnicity did not affect complications. Pseudoexfoliation was the only comorbidity causing complications (P < 0.05). Phacolytic lenses had 8.118 times the odds of getting intraoperative complications. MOs and gazetting specialists got more complications. Good outcomes were obtained in cases without complications and those operated by specialists. High astigmatism was the main reason for poorer outcomes.
CONCLUSION: Intraoperative complications were caused mostly by less experienced doctors and had poorer outcomes. Age below 40 years, females, the presence of pseudoexfoliation and phacolytic lenses had more complications. PCR was the most common complication.
METHODS: It was a cross-sectional study. The Malay elderly aged 60 years and above were selected through convenient sampling to give a total of 230 respondents. The Depression, Anxiety, and Stress Scale (DASS-21) was used to assess the symptoms of depression, anxiety, and stress. Bivariate analyses were performed using chi-square tests and multiple logistic regression analyses were conducted to determine the association between the factors and each of the mental health statuses assessed.
RESULTS: The results showed that the prevalence of depression, anxiety, and stress among the elderly respondents was 27.8%, 22.6%, and 8.7%, respectively. The significant factors for depression were single elderly (Adjusted OR = 3.27, 95%CI 1.66, 6.44), living with family (Adjusted OR = 4.98, 95%CI 2.05, 12.10), and poor general health status (Adjusted OR = 2.28, 95%CI 1.20, 4.36). Living with family was the only significant factor for anxiety (Adjusted OR = 2.68, 95%CI 1.09, 6.57). There was no significant factor for stress.
CONCLUSIONS: Depression and anxiety among the Malay elderly in the rural community were very worrying. More equity in health should be created or strengthened in order to intensify the opportunity to identify, diagnose, and treat those with mental health problems. Living arrangement in the rural community was an important factor that had influenced depression and anxiety. Therefore, further research is recommended for more comprehensive information, as a result of which appropriate intervention can be made.
MATERIALS AND METHODS: This study is an analysis of a matched case-control study with a ratio of 1:2. The case group contained 206 respondents, and the control group contained 412. All CRC cases were confirmed with the histological results. The control group was matched for links between age, sex and ethnicity with CRC. The Statistical Package for Social Sciences Statistics (SPSS) IBM version 28.0 was used to conduct descriptive analysis using chi-squared testing and simple logistic regression. The statistical significance was P < 0.05.
RESULT: Overall, 618 respondents took part in this survey, of which 256 (41.4%) were female and 362 (58.6%) were male. The maximum age was 76, with a mean age ± SD of 53.17 ± 11.4. Those of Bajau ethnicity comprised 24.6% (152) of the population, followed by Dusun with 22.8% (141), Kadazan with 17.6% (109%), other North Borneo ethnic groups with 15.5% (96), Bugis with 9.7% (60), Brunei with 4.4% (27) and other predominant races with 5.3% (33). Regression analyses revealed that the incidence of CRC in North Borneo, Malaysia, was substantially correlated with income, occupation, other linked diseases and BMI.
CONCLUSION: Various risk factors are linked to CRC, based on the findings related to socio-demographic characteristics and BMI. Therefore, to lower the nationwide prevalence of CRC, national public health campaigns should include collaboration with the regional authorities to highlight the incidence and risk factors of CRC based on ethnicity.
MATERIALS AND METHODS: A total of 480 students from different faculties in a Malaysian public university participated in this study. They were selected by simple random sampling method. They completed self-administered questionnaires including the Malay Version of Internet Addiction Test (MVIAT)) to measure internet addiction and Adult Self-Report Scale (ASRS) Symptom Checklist, Depression Anxiety Stress Scales (DASS) and UCLA Loneliness Scale (Version 3) to assess for ADHD symptoms, depression, anxiety, stress, and loneliness respectively.
RESULTS: The prevalence of IA among university students was 33.33% (n = 160). The respondents' mean age was 21.01 ± 1.29 years old and they were predominantly females (73.1%) and Malays (59.4%). Binary logistic regression showed that gender (p = 0.002; OR = 0.463, CI = 0.284-0.754), ADHD inattention (p = 0.003; OR = 2.063, CI = 1.273-3.345), ADHD hyperactivity (p<0.0001; OR = 2.427, CI = 1.495-3.939), stress (p = 0.048; OR = 1.795, CI = 1.004-3.210) and loneliness (p = 0.022; OR = 1.741, CI = 1.084-2.794) were significantly associated with IA.
CONCLUSION: A third of university students had IA. In addition, we found that those who were at risk of IA were males, with ADHD symptoms of inattention and hyperactivity, who reported stress and loneliness. Preventive strategy to curb internet addiction and its negative sequelae may consider these factors in its development and implementation.
METHODS: A cross sectional study was conducted in five health clinics under Kota Kinabalu district, Sabah, Malaysia Borneo involving 162 attendees with age of 50 years old and above. A validated self-administered questionnaire was used to collect the data. Multiple logistic regression analysis was used to determine the predictors of NS-FOBT.
RESULTS: The prevalence of NS-FOBT was 85.8% (n=139). Important predictors of NS-FOBT were age (aOR: 0.922; 95% CI: 0.855, 0.995; p=0.035), Bumiputera ethnicity (vs Non Bumiputera; aOR: 4.285; 95% CI: 1.384, 13.263; p=0.012), knowledge score (aOR: 0.921; 95% CI: 0.856, 0.99; p=0.027), and attitude score (aOR: 0.801; 95% CI: 0.702, 0.913; p=0.001).
CONCLUSION: There is high prevalence of NS-FOBT. Age, ethnicity, knowledge, and attitude were important predictors of NS-FOBT. Strategies are needed to improve FOBT screening rate among the public. Socio-culturally tailored health promotion strategies as well as strengthening the communication, collaboration, and education to enhance the role of family physician is vital in improving the CRC prevention and care.
METHOD: A cross sectional study was carried out where caretakers of cleft lip and/or palate were asked to complete the translated Malay language version of Strength Difficulties Questionnaire. The hearing status of the children was analyzed based on recent pure tone audiometric and tympanogram results. The patients' age, gender, type of cleft pathology, age of palatal surgery and behavioural patterns were examined for their potential relationship with hearing status.
RESULTS: A total of 74 children (148 ears) aged between 7 and 17 years with cleft lip and/or palate were recruited. The result showed 37 ears (25.0%) had hearing loss with majority suffered from mild conductive hearing loss. There were 16 ears (10.8%) that had persistent middle ear effusion. Hearing improvement occurred when palatal repair was performed at the age of less than 1 year old. (p = 0.015) There was no significant relationship between patients' gender, age, type of cleft and history of myringotomy with their hearing status. In terms of behavioural patterns, 16.3% were abnormal for total behavioural score, 39.2% for peer problem and 17.6% for conduct problem. For prosocial behaviour, 16.3% were rated low and very low. There was fair correlation between age and hyperactivity problems (r = 0.44). Patients' gender, type of cleft pathology, had been teased apart and hearing status was found not related to behavioural problems.
CONCLUSION: Cleft lip and/or palate patients have a good longterm hearing outcome. Majority had normal hearing and if there is hearing impairment, it is only a mild loss. Early palatal repair surgery before the age of 1 year can significantly reduce the risk of hearing loss. Cleft lip and/or palate patients experienced peer problems. There was no significant correlation between behavioural difficulty and hearing status among school-aged children with cleft lip and palate.
METHODS: This was a cross-sectional study. A total of 327 secondary school students completed the Alcohol Use Disorder Identification Test and Children's Depression Inventory, and a sociodemographic questionnaire. Binary and multivariable logistic regression were used to examine the relationship between the different variables.
RESULTS: A total of 42.2% of adolescents had PAU. Urban adolescents had a higher prevalence compared with rural adolescents (OR, 1.612; 95% CI: 1.036-2.508 P = 0.034). Female adolescents (56.8%) and Bumiputera Sarawak adolescents (76.8%) comprised a large proportion of the respondents with PAU. Cultural norm (78.3%) and curiosity (68.1%) were the two main reasons for PAU. Only family history of alcohol use (OR, 2.273; 95% CI: 1.013-5.107; P = 0.047), ever consumed alcohol (OR, 57.585; 95% CI: 21.885-151.525; P Malaysia. More effort is needed to implement policies for this vulnerable group, with collaboration between agencies to ensure their mental and physical wellbeing and prevent a negative impact later. Clinicians should be more vigilant in detecting depression in adolescents with PAU to enable early intervention.
METHODS: A retrospective study that evaluated two years of mortality registry starting in 2015 was conducted in the ED of University Kebangsaan Malaysia Medical Centre (UKMMC), Kuala Lumpur, Malaysia. Adult out-hospital cardiac arrest (OHCA) patients treated in the ED were included. Multivariate logistic regression analysis was utilized for the exploration of factors associated with prolonged CPR attempts (> 30min).
RESULTS: The median CPR duration was 24min (range 2-68min). Four variables were independently associated with prolonged CPR attempts: younger age (OR, 0.97; 95% CI, 0.95-0.99; p<0.001), pre-existing heart disease (OR, 1.97; 95% CI, 1.07-3.65; p=0.031), occurrence of transient return of spontaneous circulation (ROSC) (OR, 2.38; 95% CI, 1.05-5.36; p=0.037), and access to the ED by nonemergency medical services (EMS) transport (OR, 1.92; 95% CI, 1.09-3.37; p=0.024).
CONCLUSION: Patient-related and access-related factors were associated with prolonged CPR attempts among OHCA patients resuscitated in the ED.
DESIGN AND METHODS: Participants were randomly selected using multi-stage sampling methods from three public universities in the study location. Participants completed measures of internet and smartphone addictions, depression, anxiety, stress, and suicidality, along with sociodemographic items.
FINDINGS: At bivariate level, both internet and smartphone addictions were found to have significant positive correlations with depression, anxiety, stress, and suicidality. At multivariate level, only internet addiction emerged as a consistent significant predictor for depression, anxiety, stress, and suicidality.
PRACTICE IMPLICATIONS: The present findings have implications for mental health professionals to routinely screen for psychological disturbance in young adults who have potential risks for internet addiction.
METHODS: Adult patients (≥18 years) tested positive for COVID-19 via reverse transcription-polymerase chain reaction (RT-PCR) and admitted in Hospital Tuanku Ja'afar Seremban, Malaysia, were recruited in this study. Patients completed a questionnaire via telephone interview comprising the following details: age, sex, ethnicity, comorbidities, general and otorhinolaryngological symptoms, onset and duration of olfactory and gustatory dysfunction. Patients with persistent olfactory and gustatory dysfunction at the time of the initial interview were followed-up every 3 to 5 days till resolution.
RESULTS: A total of 145 patients were included in our study. The mean age of patients was 43.0 ± 17.7 (range: 18-86). Fever (44.1%) and cough (39.3%) were the most prevalent general symptoms. Thirty-one patients (21.4%) reported olfactory dysfunction and 34 (23.4%) reported dysgeusia. There was a significant association between both olfactory and gustatory dysfunction (P
METHODS: This was a cross sectional study design. A total of 347 respondents from low household income groups, including persons with disability and Orang Asli were recruited from E-kasih. A semi-guided self-administered questionnaire was used. QOL measured by EQ. 5D utility value and health status measured by visual analogue score (VAS). Descriptive statistic, bivariate Chi-square analysis and binary logistic regression were conducted to determine factors influencing low QOL and poor health status.
RESULTS: Majority of the respondents were Malay, female (61%), 63% were married, 60% were employed and 46% with total household income of less than 1 thousand Ringgit Malaysia. 70% of them were not having any chronic medical problems. Factors that associated with low QOL were male, single, low household income, and present chronic medical illness, while poor health status associated with female, lower education level and present chronic medical illness. Logistic regression analysis has showed that determinants of low QOL was present chronic illness [AOR 4.15 95%CI (2.42, 7.13)], while determinants for poor health status were; female [AOR 1.94 95%CI (1.09,3.44)], lower education [AOR 3.07 95%CI (1.28,7.34)] and present chronic illness [AOR 2.53 95%CI (1.39,4.61)].
CONCLUSION: Low socioeconomic population defined as low total household income in this study. Low QOL of this population determined by present chronic illness, while poor health status determined by gender, education level and chronic medical illness.