Introduction: The rising prevalence of human immunodeficiency virus (HIV) among people who inject drugs is a major public health issue. This study intends to explore education and demographic correlates of use of condoms among male drug users in Malaysia. Methods: Data were extracted from the Integrated Biological and Behavioral Surveillance Survey 2017. Pearson’s chi-square tests and a logistic regression were used to examine the associations between condom use and education, and demographic factors. Results: Only a small proportion of drug users used condoms (25.7%). Educational backgrounds, age, ethnicity and marital status were associated with condom use. The likelihood of using condoms was lower among less educated drug users (aOR: 0.308–0.339). There was an interaction effect of education and age on condom use (aOR: 0.116–0.308). Chinese (aOR: 3.117) and those of other ethnicities (aOR: 2.934) were more likely to use condoms when compared with Malays. Being married (aOR: 0.291) or divorced/widowed (aOR: 0.346) was associated with reduced odds of using condoms. Conclusion: Education and demographic factors play an important role in influencing the decisions of Malaysian drug users to use condoms. Therefore, HIV-preventive measures targeting drug users could benefit by paying special attention to these factors.

Introduction: In Malaysia, the adolescent health studies conducted in 2012 and 2017 revealed an increasing trend of adolescent health risk behaviours and protective factors. This current study aims to determine health risk behaviours and protective factors among adolescents in the country. Methods: The current nationwide cross-sectional study of Malaysian secondary school students used multistage stratified sampling to select 240 nationally representative schools. This study was conducted from June to July 2022 among the students in forms 1, 2, 3, 4, and 5 in all Malaysian states by 34 data collection teams. A validated self-administered questionnaire was used, similar to those used in the NHMS 2012 and NHMS 2017. The quality control was done twice, once at the field level and once at the central level. Sample weighting and analysis were conducted using SPSS statistical software version 28.0. Results: A total of 239 schools out of 240 schools took part in the study (response rate, 99.6%) and total of 33,523 students were involved in this study (response rate, 89.4%). In terms of ethnicity, the highest number of students who participated in the study were Malay (63.0%), followed by Chinese (18.1%) and Indian (6.0 %). While the distribution of sex and form among the students were almost the same. Conclusion To obtain an accurate representation of the nation's adolescent population for this study, samples from public and private schools that are governed by the Ministries of Education and Rural and Regional Development were deemed to be the most reliable.

Introduction: Physical inactivity has been identified as the fourth leading risk factor for worldwide mortality with major implications towards general health. Monitoring the level of physical inactivity may reduce the burden of non-communicable diseases (NCDs) and their risk factors. This study aims to determine the prevalence of physical inactivity and its associated factors among adults aged 18 years and above in Malaysia. Methodology: Data was obtained from the National Health and Morbidity Survey (NHMS) 2019. It was a cross-sectional, population-based survey which employed two- stage stratified random sampling design. A total of 10,356 out of 10,472 respondents were interviewed using a short version of International Physical Activity Questionnaire (IPAQ). Results: Overall, the prevalence of physical inactivity among adults aged 18 years and above in Malaysia was 24.6% (95% CI: 23.2, 26.1). Results from multivariable logistic model showed that Chinese ethnicity (aOR 1.32; 95% CI: 1.04, 1.67), urban dwellers (aOR 1.30; 95% CI: 1.07, 1.57), those who were single (including widow, widower and divorcee) (aOR 1.36; 95% CI: 1.14, 1.61), students (aOR 2.10; 95% CI: 1.30, 3.40), higher household income earners (aOR 1.34; 95% CI: 1.07, 1.68) and those with hypercholesterolaemia (aOR 1.25; 95% CI: 1.03, 1.51) were significantly more likely to be physically inactive. Conclusion Specific and appropriate intervention towards targeted group is in crucial need to increase the level of physical activity and to promote an active living towards an active and healthy Malaysia.

Inntroduction: The rapid spread of the Coronavirus disease 2019 (COVID-19) worldwide has led the World Health Organization to declare COVID-19 outbreak as a pandemic on March 11, 2020. As the local studies on factors leading to the absence or presence of clinical illness among the COVID-19 cases are sparse, the study aims to determine the factors associated with asymptomatic COVID19 patients in Petaling District, Selangor, Malaysia Methods: Data on COVID-19 patients were extracted from the database of confirmed cases in Petaling District Health Office, Selangor, Malaysia from 3rd February 2020 to 30th April 2020. An asymptomatic laboratory-confirmed case is a person infected with COVID-19 who does not develop any symptoms. The study included socio-demographic variables, the detailed information on clinical manifestations and co-morbidity of the patients. Descriptive and multiple logistic regression analyses were conducted to determine the factors associated with asymptomatic patients. Results: The overall COVID-19 patients in Petaling District were 434. Approximately 70% (n= 292) of the patients were symptomatic while 32.7% (n= 142) were asymptomatic. Multivple logistic regression analyses revealed that factors significantly associated with asymptomatic patients were age below 40 years old (aOR: 1.79, 95% CI 1.11, 2.86), non-Malaysians (aOR: 3.22, 95% CI 1.44, 7.19) and local cases (aOR: 2.51, 95% CI 1.42, 4.42). Gender, ethnicity, comorbidity and township were not significantly associated with asymptomatic patients. Conlcusion Approximately one-third of COVID-19 patients were asymptomatic and the risk factors identified were younger age, non-Malaysians and local cases. Rigorous epidemiological investigation is helpful in identifying COVID-19 cases among these group of people who are asymptomatic.

The outbreak of COVID-19 has affected the world with over two million cases globally. Malaysia has witnessed over 5,000 with almost 100 deaths as of 22 April 2020. Knowledge on the incubation period of COVID-19 is scarce due to the novelty of the virus. The aim of this study was to determine the incubation period of COVID-19 infection in the district of Petaling in Malaysia. A cross-sectional study was conducted using secondary data from the Petaling District Health Office. We analysed data of laboratory-confirmed COVID-19 cases notified to the Petaling District Health Office between 3 February 2020 and 13 April 2020. Our study included 219 cases. The median incubation period of COVID-19 among the cases was five days (interquartile range 3.0-8.0). Four main clusters were identified, with significant difference found between two of the clusters. Cluster A has a shorter incubation period 3.5 (3.0-6.8) compared to cluster B as most of the confirmed cases knew the source of infection. COVID-19 incubation period in Petaling, Malaysia fits within the range estimated by the World Health Organization. Based on the upper value of the incubation period interquartile range in our study, the length of quarantine and period of contact tracing should be at least 8 days. This finding is in accordance with our current practice to control the spread of COVID-19

The Ministry of Health, Malaysia had introduced the community based action programme (KOSPEN) to improve the early detection of non-communicable diseases (NCDs) in the population. This study aims to identify factors associated with non-participation in screening activities and its barriers. Methods This cross sectional study was conducted from May to June 2016 in KOSPEN localities. A total of 2354 adults aged 18 years and above were selected using a two-stage stratified cluster sampling design. The data were obtained through face-to-face interviews using validated questionnaires. Multiple logistic regression analysis was used to determine the sociodemographic factors associated with non-participation in health screening. Results Out of 2156 respondents interviewed (response rate of 91.6%), approximately 75% (n=1624) of the respondents did not participate in the KOSPEN health screening programme. Multivariable logistic regression analyses revealed that, males (aOR: 2.35, 95% CI 1.21, 4.55) and those working in private sector (aOR: 2.11, 95% CI 1.21, 3.67) were more likely to not participate in health screening. While, age, ethnicity, level of education, marital status and household income were not significantly associated with non-participation in health screening. The barrier for not participated were “did not know health screening was conducted in their localities” (39.3%) and had no time to attend the programme (18.2%). Conclusions The study findings are of public health concern as about three quarters of the respondents failed to participate in this programme because they didn’t know that there were health screening activities conducted in their localities beside the time constraint problems. Thus, KOSPEN health screening activities should be made known to the community especially males who are mostly working in the private sector.

Iodine deficiency disorders (IDD) during pregnancy may impair the neurological development of the fetus. The aim of this study is to determine the iodine status among pregnant women (PW) in Sarawak after introduction of mandatory universal salt iodisation (USI) for seven years.

​The prevalence of Type 2 diabetes mellitus (T2DM) is increasing worldwide and many of these affected individuals remain unidentified. Undiagnosed T2DM may impose substantial public health implications because these individuals remain untreated and at risk for complications. The objective of this study was to determine the national prevalence of undiagnosed T2DM and to identify the associated risk factors. A nationwide cross-sectional study was conducted involving 17,783 respondents. Two-stage stratified sampling design was used to select a representative sample of the Malaysian adult population. Structured validated questionnaires with face to face interviews were used to obtain data. Respondents, who claimed that they were not having diabetes, were then asked to perform a fasting blood glucose finger-prick test by Accutrend GC machine. The prevalence of undiagnosed T2DM was 8.9% (n=1587). The highest percentage of undiagnosed T2DM was found among males (10.2%), 55-59 years old (13.4%), highest education attainers of primary school (11.1%), Indians (10.3%), married (10.3%), working (8.9%) and living in the urban areas (9.2%). Multivariate analyses showed that factors associated with undiagnosed T2DM were gender, age group, ethnicity, marital status, obesity and hypertension. This study found an increasing trend of undiagnosed T2DM in Malaysia compared to 2006. This finding is alarming as risk factors associated with undiagnosed diabetes were related to most of the socio-demographic factors studied. Therefore, early diabetic screening is crucial especially among adults aged 30 and above to prevent more serious complications of this disease.​

Following the reveal of borderline iodine sufficiency among the Sarawakians from the 2008 National Iodine Deficiency Disorders (IDDs) survey, a mandatory universal salt iodization (USI) was implemented in Sarawak thereafter. This study aimed to determine the current status of USI in Sarawak after a 3-year implementation of USI from 2008 to 2011. The IDD survey was conducted between Jun 2011 to July 2011 involving six districts in Sarawak (Sarikei, Mukah, Kapit, Sibu, Bintulu and Miri). The schools were selected via multistage proportionate-to-population size sampling technique and the children were randomly selected via systematic sampling. A total of 19 schools and 661 children were recruited into the survey. Thyroid size was determined by palpation and was and graded according to the classification of the World Health Organization (grade 0-2). The iodine excretion level in spot morning urine was measured using in-house microplate method. The urinary iodine concentration (UIC) values were compared by Kruskal-Wallis test and Chi-square tests were used to compare categorical variables. A total of 610 school children were participated in the study (92.3%). The TGR of grade 1 and 2 was found to be 0.3% (n = 2). Overall the median UIC level was 154.2 (IQR, 92.7 - 229.8) µg/L, with the highest median UIC been observed in Sarikei [178.0 (IQR, 117.6 - 308.9) µg/L], followed by Mukah [174.8 (IQR, 99.0 - 224.3) µg/L)], Miri [158.6 (IQR, 92.3 - 235.4) µg/L], Sibu [147.0 (IQR, 89.8 - 221.4) µg/L], Bintulu [142.3 (IQR, 52.8 - 245.1) µg/L] and Kapit [131.0 (IQR, 88.6 - 201.9) µg/L]. One in every ten child was of iodine deficient (UIC < 50µg/L) while a third of the child (32%) were of adequate level of UIC. The present findings indicate that the mandatory USI successfully improves the iodine level of children in Sarawak. However, regular and proper monitoring of the UIC level in the communities is needed to prevent excessive iodine intake.​

Healthy dietary practice is important in preventing diabetes, managing existing diabetes, and preventing, or at least slowing the rate of diabetes complication development. It is, therefore, important at all levels of diabetes prevention. The objective of this study was to determine the association of dietary practice with glycaemic control among Type 2 diabetes mellitus (T2DM) patients, who received treatment from an urban Health Clinic in Kuala Lumpur. A total of 307 patients with T2DM aged 18 years and above participated in this study. A pre-tested structured questionnaire with guided interview was used to collect information on socio-demographic, clinical and dietary practice. Anthropometric and biological measurements were also taken. Descriptive statistics and Chi-square were used in the data analysis. Good glycaemic control was defined as HbA1c level less than 6.5%. The prevalence of good glycaemic control was only 27% (n=83). The highest percentage of good glycaemic control were among male patients (29.1%), aged 60 and above (33.3%), educational level of primary school (35.4%) and those with monthly income group between RM1001 to RM1500 (32.0%). About three quarter of T2DM patient (n=224) had poor control of HbA1c (≥6.5%). Age (p=0.045) and working status (p=0.039) had significant relationship with the level of HbA1c. Dietary practice showed no significant relationship with the HbA1c level. Effective interventional health education strategies are needed, focussing on modification of dietary behaviour in order to achieve glycaemic control among diabetic patients.​
Diabetes Mellitus, Type 2 ; Diet ; Primary Health Care ; Patients