METHODS: This is a cross-sectional study from the CLUSTer cohort. There were 14144 teachers from the Peninsular Malaysia included in this study. The teachers' sociodemographic and lifestyle characteristics were described using a weighted complex analysis. A matched age group comparison was carried out between teachers and the Malaysian general population on T2DM, undiagnosed DM, and IFG status. Next, the researchers examined the association of lifestyle factors with T2DM and IFG using multivariable logistic regression.
RESULTS: The prevalence of T2DM, undiagnosed DM, and IFG among the Malaysian teachers were 4.1%, 5.1%, and 5.6%, respectively. The proportions of teachers with T2DM (both diagnosed and undiagnosed) and the IFG increased linearly with age. Teachers had a lower weighted prevalence of T2DM (known and undiagnosed) than the general population. However, teachers were more inclined to have IFG than the general population, particularly those aged 45 years and older. Among all lifestyle indicators, only waist circumference (aOR: 1.14, 95% CI: 1.08, 1.20) was found to be associated with T2DM, whereas waist circumference (aOR: 1.10, 95% CI: 1.05, 1.15) and physical activity [moderately active = (aOR: 0.71, 95% CI: 0.52, 0.98); highly active = (aOR: 0.56, 95% CI: 0.40, 0.80)] were associated with IFG.
CONCLUSIONS: Modifiable lifestyle factors such as abdominal obesity and physical activity were associated with T2DM and IFG. Intervention programs targeting these factors could help reduce future treatment costs and increase productivity.
METHODS: A cohort study was conducted among laboratory-confirmed dengue patients aged >18 y in the central region of Peninsular Malaysia from May 2016 to November 2017. We collected demographic, clinical history, physical examination and laboratory examination information using a standardized form. Dengue severity (DS) was defined as either dengue with warning signs or severe dengue. Participants underwent daily follow-up, during which we recorded their vital signs, warning signs and full blood count results. Incidence of DS was modeled using mixed-effects logistic regression. Changes in platelet count and hematocrit were modeled using mixed-effects linear regression. The final multivariable models were adjusted for age, gender, ethnicity and previous dengue infection.
RESULTS: A total of 173 patients were enrolled and followed up. The mean body mass index (BMI) was 37.4±13.75 kg/m2. The majority of patients were Malay (65.9%), followed by Chinese (17.3%), Indian (12.7%) and other ethnic groups (4.1%). A total of 90 patients (52.0%) were male while 36 patients (20.8%) had a previous history of dengue infection. BMI was significantly associated with DS (adjusted OR=1.17; 95% CI 1.04 to 1.34) and hematocrit (%) (aβ=0.09; 95% CI 0.01 to 0.16), but not with platelet count (x103/µL) (aβ=-0.01; 95% CI -0.84 to 0.81). In the dose response analysis, we found that as BMI increases, the odds of DS, hematocrit levels and platelet levels increase during the first phase of dengue fever.
CONCLUSION: Higher BMI and higher hematocrit levels were associated with higher odds of DS. Among those with high BMI, the development of DS was observed during phase one of dengue fever instead of during phase two. These novel results could be used by clinicians to help them risk-stratify dengue patients for closer monitoring and subsequent prevention of severe dengue complications.
METHODOLOGY: A total of nine focus group discussions with 56 farmworkers across eight animal farms in Peninsular Malaysia were conducted between August and October 2013.
RESULTS: Farmworkers explained their experience of tick bites, but no one reported TBDs. Many farmworkers indicated that they did not seek any medical treatment. There was a misconception that ticks are solely pathogenic to farm animals. Farmworkers perceived low severity and susceptibility of tick bites, and low self-efficacy of tick bite prevention, however, a group also perceived susceptibility to getting tick bites due to the characteristics of their job. Barriers for prevention were related to the perception and knowledge towards ticks. Farmworkers requested information about TBDs.
CONCLUSIONS: This study of farmworkers identified gaps in the knowledge of TBDs, barriers of the tick bite preventive measures and information needs. These findings suggest a need for education programs to improve the knowledge of ticks and TBDs, change health beliefs and address the barriers of tick bite preventive measures.
OBJECTIVES: To estimate the perinatal mortality rate in Sana'a, Yemen and to identify risk factors for perinatal deaths.
METHODS: A community-based prospective cohort study was carried out between 2015 and 2016. Nine-hundred and eighty pregnant women were identified and followed up to 7 days following birth. A multi-stage cluster sampling was used to select participants from community households', residing in the five districts of the Sana'a City, Yemen.
RESULTS: Total of 952 pregnant women were tracked up to 7 days after giving birth. The perinatal mortality rate, the stillbirth rate and the early neonatal mortality rate, were 89.3 per 1000, 46.2 per 1000 and 45.2 per 1000, respectively. In multivariable analysis older age (35+ years) of mothers at birth (Relative Risk=2.83), teenage mothers' age at first pregnancy (<18 years) (Relative Risk=1.57), primipara mothers (Relative Risk=1.90), multi-nuclear family (Relative Risk=1.74), mud house (Relative Risk=2.02), mothers who underwent female genital mutilation (Relative Risk=2.92) and mothers who chewed khat (Relative Risk=1.60) were factors associated with increased risk of perinatal death, whereas a positive mother's tetanus vaccination status (Relative Risk=0.49) were significant protective factors against perinatal deaths.
CONCLUSION: Rates of perinatal mortality were higher in Sana'a City compared to perinatal mortality at the national level estimated by World Health Organization. It is imperative there be sustainable interventions in order to improve the country's maternal and newborn health.
DESIGN: Two-year prospective cohort study.
SETTING: Kuala Pilah, a district in Negeri Sembilan approximately 100 km from the capital city, Kuala Lumpur.
PARTICIPANTS: Community-dwelling older adults aged 60 and older. Using a multistage cluster sampling strategy, 1,927 respondents were recruited and assessed at baseline, of whom 1,189 were re-assessed 2 years later.
MEASURES: EAN was determined using the modified Conflict Tactic Scale, and chronic pain was assessed through self-report using validated questions.
RESULTS: The prevalence of chronic pain was 20.4%. Cross-sectional results revealed 8 variables significantly associated with chronic pain-age, education, income, comorbidities, self-rated health, depression, gait speed, and EAN. Abused elderly adults were 1.52 times as likely to have chronic pain (odds ratio=1.52, 95% confidence interval (CI)=1.03-2.27), although longitudinal analyses showed no relationship between EAN and risk of chronic pain (risk ratio=1.14, 95% CI=0.81-1.60). This lack of causal link was consistent when comparing analysis with complete cases with that of imputed data.
CONCLUSION: Our findings indicate no temporal relationship between EAN and chronic pain but indicated cross-sectional associations between the two. This might indicate that, although EAN does not lead to chronic pain, individuals with greater physical limitations are more vulnerable to abuse. Our study also shows the importance of cohort design in determining causal relationships between EAN and potentially linked health outcomes.
OBJECTIVE: The study aimed to derive dietary patterns empirically and to examine the consistency and generalizability of patterns across sex, ethnicity, and urban status in a working population.
DESIGN: This was a cross-sectional study using data from the Clustering of Lifestyle Risk Factors and Understanding its Association with Stress on Health and Well-Being among School Teachers in Malaysia study collected between August 2014 and November 2015. Dietary intake was assessed using a food frequency questionnaire, and dietary patterns were derived using factor analysis.
PARTICIPANTS/SETTING: Participants were teachers from selected public schools from three states in Peninsular Malaysia (n=4,618).
MAIN OUTCOME MEASURES: Dietary patterns derived using factor analysis.
STATISTICAL ANALYSES PERFORMED: Separate factor analysis was conducted by sex, ethnicity, and urban status to identify dietary patterns. Eigenvalue >2, scree plot, Velicer's minimum average partial analysis, and Horn's parallel analysis were used to determine the number of factors to retain. The interpretability of each dietary pattern was evaluated. The consistency and generalizability of dietary patterns across subgroups were assessed using the Tucker congruence coefficient.
RESULTS: There was no subgroup-specific dietary pattern found. Thus, dietary patterns were derived using the pooled sample in the final model. Two dietary patterns (Western and Prudent) were derived. The Western dietary pattern explained 15.4% of total variance, characterized by high intakes of refined grains, animal-based foods, added fat, and sugar-sweetened beverages as well as fast food. The Prudent dietary pattern explained 11.1% of total variance and was loaded with pulses, legumes, vegetables, and fruits.
CONCLUSIONS: The derived Western and Prudent dietary patterns were consistent and generalizable across subgroups of sex, ethnicity, and urban status. Further research is needed to explore associations between these dietary patterns and chronic diseases.