Materials and Methods: This cross-sectional study was done among 349 staff of a public university in Sarawak. Data were collected using questionnaire, blood sampling, and anthropometric and blood pressure measurement. Data were analyzed using IBM SPSS version 20.
Results: A total of 349 respondents participated with majority females (66.8%), aged 38.5 ± 7.82 years. Nearly 80% of the respondents were overweight and obese, 87.1% with high and very high body fat, and 46.9% with abnormal visceral fat. For AIP category, 8.9% were found to be in intermediate and 16.4% were at high risk. Elevated lipid profile showed that total cholesterol (TC) is 15.5%, low density lipoprotein (LDL) is 16.1%, and triglyceride (TG) is 10.6%. AIP was significantly correlated with body mass index (r=0.25), visceral fat (r=0.37), TC (r=0.22), LDL (0.24), HDL (r=-0.72), TG (r=0.84), glucose (r=0.32), systolic blood pressure (r=0.22), and diastolic blood pressure (r=0.28).
Conclusion: It indicated that AIP is associated with other CVD risk factors. Modification of lifestyle is strongly recommended.
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: Respondents were recruited using the proportional sampling method among mothers who attended the Maternal and Child Health Clinic in the Kuching division in Sarawak, Malaysia. Face-to-face interview was conducted using a questionnaire that consisted of items on socio-demographic data as well as perinatal, prenatal and postpartum factors, and the Edinburgh Postnatal Depression Scale and a checklist of 28 specific postpartum symptoms were used during the first 6 weeks and after 12 weeks of childbirth.
RESULTS: A total of 281 respondents participated in this study. Fatigue (42.7%), back or neck pain (36.3%), breast discomfort (16.4%), dizziness (13.5%) and nipple irritation (11.0%) were among the most common symptoms experienced by the mothers during the first 6 weeks after childbirth. There was a significant decrease in the physical symptom scores of the respondents from the first 6 weeks to after 12 weeks of childbirth (1.73±1.96 vs 0.16±0.42; P<0.0005). A significant decrease was also found in the depression scores (6.26±4.26 vs 1.35±1.85, P<0.0005).
CONCLUSION: The prevalence of postnatal depression was higher during the first 6 weeks of postpartum than after 12 weeks of postpartum. Screening and treatment of poor postpartum mental health among working women are essential owing to the impacts on occupational outcomes.