METHODS: We derived the data from the TECMA study, which used a cross-sectional study design and multi-stage sampling method to obtain a representative sample of school-going adolescents aged 11-19 years in Malaysia in 2016. Data were collected through a self-administered approach using a pre-validated standard questionnaire. Descriptive and multivariate analyses were used to analyze the data, and results are presented as adjusted odds ratio (AOR) with 95% confidence interval (95% CI).
RESULTS: SHS exposure for the past seven days was higher outside the home (51.2%; 95% CI: 49.2-53.2) compared to at home (37.8%; 95% CI: 35.8-39.9) while 27.3% (95% CI: 25.1-29.5) of school-going adolescents reported exposure to SHS inside the school in the past one month. In the regression analyses, older adolescents, those of Malay and Bumiputra Sarawak ethnicities, adolescents from rural areas and current smokers had higher likelihood of exposure to SHS at home, outside home and inside the school. Our study also found that adolescents who were current smokers had higher odds of being exposed to SHS at home (AOR=2.87; 95% CI: 2.57-3.21), outside the home (AOR=3.46; 95% CI: 3.05-3.92) and in the school (AOR=2.25; 95% CI: 2.01-2.51).
CONCLUSIONS: Health promotion measures should target parents/guardians and household members to reduce SHS exposure among adolescents. In addition, smoke-free regulation should be fully enforced in school. Furthermore, more public places should be designated non-smoking areas to reduce SHS exposure and denormalize smoking behavior.
Methods: This was a cross sectional study conducted in a government preschool in Kuching district from January to June 2017. Data were collected using questionnaire as well as anthropometric and blood pressure measurements. Data were entered into and analyzed using SPSS Version 22.
Results: A total of 229 preschool children participated in this study (response rate of 81%). About 9.7% of the respondents were at risk for hypertension. The mean systolic blood pressure was 95.6 mmHg (SD=8.36), and the mean diastolic blood pressure was 59.9 mmHg (SD=6.09). Ten percent of the children were overweight and 7.4% were obese. Binary logistics regression analysis indicated that gender (Male: OR = 3.085, p< 0.05), parent's education level (comparing primary education and below with secondary education: OR = 4.88, p<0.05; comparing primary education and below tertiary education: OR = 7.63, p<0.05) and ethnicity (comparing Malay with Chinese: OR = 0.10, p< 0.01) were significantly associated with being at risk for hypertension.
Conclusion: The study showed that 9.7% of the children were at risk for hypertension and that 17.4% had abnormal body weights. Identifying and tackling the factors leading to these issues will help to improve and ensure a better quality of non-communicable disease programs offered in primary health clinics and school health programs.
METHODS: Methadone-maintained therapy (MMT) users from three centers in Malaysia had their exhaled carbon monoxide (eCO) levels recorded via the piCO+ and iCOTM Smokerlyzers®, their nicotine dependence assessed with the Malay version of the Fagerström Test for Nicotine Dependence (FTND-M), and daily tobacco intake measured via the Opiate Treatment Index (OTI) Tobacco Q-score. Pearson partial correlations were used to compare the eCO results of both devices, as well as the corresponding FTND-M scores.
RESULTS: Among the 146 participants (mean age 47.9 years, 92.5% male, and 73.3% Malay ethnic group) most (55.5%) were moderate smokers (6-19 cigarettes/day). Mean eCO categories were significantly correlated between both devices (r=0.861, p<0.001), and the first and second readings were significantly correlated for each device (r=0.94 for the piCO+ Smokerlyzer®, p<0.001; r=0.91 for the iCOTM Smokerlyzer®, p<0.001). Exhaled CO correlated positively with FTND-M scores for both devices. The post hoc analysis revealed a significantly lower iCOTM Smokerlyzer® reading of 0.82 (95% CI: 0.69-0.94, p<0.001) compared to that of the piCO+ Smokerlyzer®, and a significant intercept of -0.34 (95% CI: -0.61 - -0.07, p=0.016) on linear regression analysis, suggesting that there may be a calibration error in one or more of the iCOTM Smokerlyzer® devices.
CONCLUSIONS: The iCOTM Smokerlyzer® readings are highly reproducible compared to those of the piCO+ Smokerlyzer®, but calibration guidelines are required for the mobile-phone-based device. Further research is required to assess interchangeability.
Setting and Design: Retrospective observational cohort study in the State of Johor, Malaysia.
Subjects and Methods: All infants born between January 2006 and December 2015 with a diagnosis of CCHD, defined as infants with duct-dependent lesions or cyanotic heart disease who may die without early intervention. The late diagnosis was defined as a diagnosis of CCHD after 3 days of age.
Results: Congenital heart disease was diagnosed in 3557 of 531,904 live-born infants and were critical in 668 (18.7%). Of 668, 347 (52%) had duct-dependent pulmonary circulation. The birth prevalence of CCHD was 1.26 (95% confidence interval: 1.16-1.35) per 1000 live births, with no significant increase over time. The median age of diagnosis was 4 days (Q1 1, Q3 26), with 61 (9.1%) detected prenatally, and 342 (51.2%) detected late. The highest rate of late diagnosis was observed in coarctation of the aorta with a rate of 74%. Trend analysis shows a statistically significant reduction of late diagnosis and a significant increase in prenatal detection. However, Cox regression analysis shows the timing of diagnosis does not affect the outcome of CCHD.
Conclusions: Due to limited resources in the MIC, the late diagnosis of CCHD is high but does not affect the outcome. Nevertheless, the timing of diagnosis has improved over time.
Materials and Methods: This cross-sectional study was conducted among 75 residents in the family medicine residency programs in Al Madina, Saudi Arabia. A self-administered questionnaire was used that includes questions on sociodemographic characteristics and sources of stress and burnout. T test, analysis of variance (ANOVA) test, and multiple linear regression analysis were employed.
Results: Majority were female (54.7%) and aged 26 to 30 years (84.0%). The significant predictors of burnout in the final model were "tests/examinations" (P = 0.014), "large amount of content to be learnt" (P = 0.016), "unfair assessment from superiors" (P = 0.001), "work demands affect personal/home life" (P = 0.001), and "lack of support from superiors" (P = 0.006).
Conclusion: Burnout is present among family medicine residents at a relatively high percentage. This situation is strongly triggered by work-related stressors, organizational attributes, and system-related attributes, but not socio-demographics of the respondents. Systemic changes to relieve the workload of family medicine residents are recommended to promote effective management of burnout.