METHODS: A total of 2,461 secondary school students aged 12-17 years from 19 schools in Sarawak participated in the study. Questionnaire was used to obtain socio-demographic data, parental history of hypertension, and self-reported physical activity. Anthropometric and blood pressure measurements were taken. Data was entered and analysed using SPSS version 23.0.
RESULTS: The prevalence of adolescents with elevated blood pressure, overweight, central obesity, and overfat were 30.1%, 24.3%, 13.5%, and 6.7%, respectively. Multivariate logistic regression demonstrated the predictors significantly associated with elevated blood pressure among respondents: overweight (adjusted odds ratio=3.144), being male (adjusted odds ratio=3.073), being Chinese (adjusted odds ratio=2.321) or Iban (adjusted odds ratio=1.578), central obesity (adjusted odds ratio=2.145), being overfat (adjusted odds ratio=1.885), and being an older adolescent (adjusted odds ratio=1.109). Parental history of hypertension, locality, and physical activity showed no significant associations.
CONCLUSION: The obesity epidemic must be tackled at community and school levels by health education and regulation of school canteen foods.
METHOD: Standard procedures and validated equipment were used to measure blood pressure and anthropometric indicators. The body mass index (BMI)-for-age and waist-to-height ratio (WHtR) were calculated. Questionnaires were used to obtain family sociodemographic data and health history.
RESULTS: A total of 1,314 children aged 6-12 years were enrolled, of whom 107 (8.1%) and 178 (13.5%) were hypertensive and pre-hypertensive, respectively. The chi-squared test indicated that hypertension was significantly associated with male sex (P<0.05), >1 standard deviation BMI-for-age (P<0.001), percentage of excess body fat (BF)(P<0.001), 5th to 95th height percentile (P<0.001), >90th excess waist circumference (WC) percentile (P<0.001), >90th WHtR percentile (P<0.001), clerical, service, sales and skilled parental work (P<0.05), excess weight (P<0.05) and cardiovascular disease (P<0.01). Multivariate logistic regression analysis showed that the percentage of excess BF [odds ratio (OR): 4.84, 95% confidence interval (CI): 2.01-11.66] and excess WC (OR: 2.33, 95% CI: 1.15-4.72) were significantly related to hypertension after adjusting for sex and age.
CONCLUSION: The prevalence of hypertension among the study population is higher than that among children worldwide. Childhood hypertension-related factors must be identified to aid in routine blood pressure screening, which is crucial for early detection and intervention to reduce future morbidity burden.
METHODS: A quasi-experimental study was conducted involving 109 elderly people with a body mass index (BMI) ≥25.0 kg/m2. BMI, body composition, and average daily steps were measured at baseline, 6 weeks, and 12 weeks. Data were analyzed using SPSS version 26.0, and repeated-measures analysis of variance with the paired t-test for post-hoc analysis was conducted.
RESULTS: In total, 48 participants in the intervention group and 61 participants in the control group completed the study. A significant interaction was found between time and group. The post-hoc analysis showed a significant difference between pre-intervention and post-intervention (within the intervention group). The post-intervention analysis revealed an increase in the mean number of daily steps by 3571.59, with decreases in body weight (-2.20 kg), BMI (-0.94 kg/m2), body fat percentage (-3.52%), visceral fat percentage (-1.29%) and waist circumference (-2.91 cm). Skeletal muscle percentage also showed a significant increase (1.67%).
CONCLUSIONS: A 12-week walking program combining a 7000-step goals with weekly group walking activities had a significant effect on the anthropometric measurements of previously inactive and overweight/obese elderly people.
METHODS: Systematic sampling was used to recruit working mothers who attended Kuching's maternal and child health clinics. They were interviewed with a validated translated questionnaire to obtain data on sociodemographics, health profiles, and Edinburgh Postnatal Depression Scale (EPDS) and postpartum symptoms. Data were analysed using IBM SPSS version 21.0.
RESULTS: Out of the total 281 respondents, 15.3% of respondents had depression symptoms. Fatigue (42.7%), back or neck pain (36.3%), breast discomfort (16.4%), dizziness (13.5%) and nipple irritation (11.0%) were the most common physical symptoms experienced by the mothers. Regression analysis showed that working mothers who exhibited higher scores of physical symptoms were 1.26 times more likely to develop PD (adjusted odd ratio 1.26, P < 0.01; 95% CI: 1.071, 1.487).
CONCLUSION: Physical symptoms were the predictors of PD among working mothers.
METHODS: The spatial dependence of district-wise incidence rates is investigated using spatial autocorrelation analysis with two orders of contiguity weights for various pandemic waves. Nine determinants are chosen from 14 covariates of socio-demographic factors via elastic net regression and recursive partitioning. The relationships between incidence rates and socio-demographic factors are examined using ordinary least squares, spatial lag and spatial error models, and geographically weighted regression.
RESULTS: In the first 8 months of 2021, COVID-19 severely affected Sarawak's central region, which was followed by the southern region in the next 2 months. In the third wave, based on second-order spatial weights, the incidence rate in a district is most strongly influenced by its neighboring districts' rate, although the variance of incidence rates is best explained by local regression coefficient estimates of socio-demographic factors in the first wave. It is discovered that the percentage of households with garbage collection facilities, population density and the proportion of male in the population are positively associated with the increase in COVID-19 incidence rates.
CONCLUSION: This research provides useful insights for the State Government and public health authorities to critically incorporate socio-demographic characteristics of local communities into evidence-based decision-making for altering disease monitoring and response plans. Policymakers can make well-informed judgments and implement targeted interventions by having an in-depth understanding of the spatial patterns and relationships between COVID-19 incidence rates and socio-demographic characteristics. This will effectively help in mitigating the spread of the disease.
METHODS: A cross-sectional study was conducted in 320 students from urban and rural secondary schools. The participants were randomly selected via multi-stage sampling. They completed the Malay versions of the Children's Depression Inventory (CDI) and Beck Scale for Suicide Ideation (BSS).
RESULTS: The prevalence of depressive symptoms was 26.2%. On binary logistic regression analysis, variables with significant association with depressive symptoms were race (P = 0.028), type of class (P < 0.001), mother's education level (P = 0.036), type of housing (P = 0.036), parents' marital status (P = 0.012), alcohol intake (P = 0.005), stealing (P < 0.001) and history of disciplinary record (P = 0.005). Variables that remained significant on multivariable logistic regression were type of class (P = 0.004), parents' marital status (P = 0.017) and stealing (P < 0.001). Students from the Arts stream (OR, 2.43) with parents who were separated, divorced or widowed (OR, 3.13) and who had experience of stealing (OR, 3.27) were predicted to be at risk of developing depressive symptoms. There was a significant correlation between total CDI score and total BSS score (P < 0.001).
CONCLUSIONS: The prevalence of depressive symptoms in adolescents was high. Depressive symptoms are significantly correlated with suicidal ideation. Greater collaboration between the education and health agencies is essential for mental health promotion in schools and early detection of depression, especially in at-risk adolescents.