METHODS: A cross-sectional study was conducted of consecutive diagnostic EGDs performed at a university-affiliated, teaching hospital, which has an open-access endoscopy system for doctors who work in the hospital. The main indication(s) for EGD was recorded and assessed as appropriate or inappropriate by using American Society for Gastrointestinal Endoscopy criteria. EGD findings were recorded and classified as positive or negative. Referrals were categorized as being from endoscopists, primary care physicians, and others.
RESULTS: Of 1076 referrals for EGD, 88.3% were deemed appropriate. The group with the highest rate of appropriate referral was endoscopists (90.2%), followed by primary care physicians (89.6%) and "others" (81.9%). The rate of appropriate referrals was significantly higher for endoscopists and primary care physicians compared with "others" (respectively, p=0.001 and p=0.022). The most common appropriate indication was "upper abdominal distress that persists despite an appropriate trial of therapy" (35.4%). The most common inappropriate indication was "dyspepsia in patients aged 45 years or below without adequate empirical medical treatment" (48.4%); 42.2% with an appropriate indication had positive findings compared with only 25.6% of those with inappropriate indications (p=0.006). On multivariate analysis, the following were identified as independent predictive factors for positive findings at EGD: male gender (p=0.005), age over 45 years (p=0.011), smoking (p=0.005), none/primary education (p<0.001), and secondary education (p=0.026).
CONCLUSIONS: The proportion of patients referred for open-access EGD with an appropriate indication(s) was high for all doctor groups in a large university-affiliated medical center in Asia. EGDs performed for appropriate indications had a higher yield of positive findings. Independent predictive factors of positive findings were male gender, age over 45 years, lower education level, and referral by an endoscopist.
METHODS: Using a subset of survey data from the National Health and Morbidity Survey (NHMS) 2019, a secondary data analysis was performed. Trained research assistants collected data through face-to-face method using a mobile tablet questionnaire system application. Logistic regression analysis was performed to examine the relationship between sociodemographic factors, physical activity, and cervical cancer screening. The analyses were conducted using STATA version 14 (Stata Corp, College Station, Texas, USA), accounting for sample weighs and complex sampling design.
RESULTS: The analysis included 5,650 female respondents, representing an estimated 10.3 million Malaysian female adults aged 18 and above. Overall, 35.2% (95%CI 33.2, 37.4) respondents had a Pap smear test within the past three years. Respondents who were physically active were 1.41 times more likely to have a Pap smear test. Similarly, respondents aged 35-59 (OR 1.84; 95%CI 1.46, 2.34) and those living in rural localities (OR 1.38; 95%CI 1.13, 1.70) had higher odds of receiving a Pap smear test. Compared to married respondents, single respondents (OR 0.04; 95%CI 0.02, 0.07) and widowed/divorcee respondents (OR 0.72; 95%CI 0.56, 0.82) were less likely to receive a Pap smear test. Educated respondents were more likely to have had a Pap smear test.
CONCLUSIONS: The overall prevalence of cervical cancer screening in Malaysia remains low (35.2%). Efforts should be made to strengthen health promotion programs and policies in increasing awareness on the significance of cervical cancer screening. These initiatives should specifically target younger women, single women, and widowed/divorced individuals. The higher cervical screening uptake among rural women should be studied further, and the enabling factors in the rural setup should be emulated in urban areas whenever possible.
METHODS AND STUDY DESIGN: This is a cross-sectional study and a total of 408 primary school-aged children (male: 72.3%; female: 27.7%), with a mean age of 9.68±1.48 years, were recruited from 10 urban-poor flats through cluster sampling at the central region of Malaysia. Their anthropometry, nutrition knowledge, attitude and practice, physical activity, dietary practices, and HRQoL were assessed.
RESULTS: A quarter (24.5%) of the urban-poor children were either overweight or obese in the present study. The HRQoL total score among the urban-poor children was 65.0±18.5. The result of multiple linear regression analysis shown that higher nutrition attitude (B=0.34, p=0.001) and practices (B=0.39, p=0.001), higher physical activity (B=3.73, p=0.004), higher lunch intake (B=1.35, p<0.001), lower supper intake (B=-1.35, p<0.001), and lower fast-food intake (B=-1.61, -1.17, p<0.001) are the significant predictors of better HRQoL among the urban-poor children (R2=0.32, F(8,399)=23.72, p<0.001).
CONCLUSIONS: Future studies should focus on these predictors to formulate interventions that could enhance the HRQoL among the Malaysian urban-poor children.
MATERIALS AND METHODS: This randomized, double-blind, placebo controlled, and parallel design trial will be carried out in a public university teaching hospitals in Malaysia. Eligible type 2 diabetes mellitus subjects will be randomly assigned to receive either acupuncture (n = 30) or a placebo (n = 30). The intervention is carried out using press needle or press placebo on abdomen area (10 sessions of treatment). Both groups will continue with their routine diabetes care. Primary outcome of HOMA-IR will be measured at the time of recruitment (-week 0), and after completion of 10 sessions (week 7) of the treatment. Additionally, secondary outcome of HRQoL will be measured at the time of recruitment (-week 0), after completion of 5 sessions (week 3/4), and 10 sessions (week 7) of the treatment. Any adverse event will be recorded at every visit.
DISCUSSION: The findings of this study will provide important clinical evidence for the effect of acupuncture as adjunctive therapy on HOMA-IR, adiposity and HRQoL of type 2 diabetes mellitus.
TRIAL REGISTRATION NUMBER: NCT04829045.
METHODS: A total of 1319 Malaysian adults participated in this cross-sectional online survey. Information on anthropometric data including body weight and height, and lifestyle behaviours including eating pattern, physical activity, and sleep pattern were self-reported by the respondents. A multivariable generalised linear mixed model was used to assess the associations between lifestyle behaviours and body weight changes with adjustment of confounding factors; namely, age, sex, ethnicity, and body weight status before MCO.
RESULTS: During MCO, 41.2% of the respondents perceived that their eating patterns were healthier, but 36.3% reduced their physical activities, and 25.7% had a poorer sleep quality. Further, the proportion of adults who reported having lose weight (32.2%) was almost similar to those who reported having gained weight (30.7%). Lifestyle behaviours including less frequent practice of healthy cooking methods and lunch skipping were associated with weight gain, while less frequent consumption of high fat foods, more frequent physical activity, and good sleep latency were associated with lower risk of weight gain. In contrast, practicing healthy eating concept, skipped lunch, and more frequent physical activity were significantly associated with weight loss.
CONCLUSION: Lifestyle behaviours were associated with body weight changes during MCO. While the COVID-19 pandemic lockdown is necessary to prevent further spread of the disease, promoting healthy lifestyle practices during lockdown should be implemented for a healthy weight and better health.
METHODS AND STUDY DESIGN: The present cross-sectional study was conducted among 163 vegetarians in Kuala Lumpur and Selangor, Malaysia. Dietary intakes of vegetarians were assessed by using a food frequency questionnaire. Waist circumference of vegetarians was measured by using a Lufkin tape W606PM. Genotypes of the rs174547 of vegetarians were determined by using Agena® MassARRAY. A multiple logistic regression model was used to determine the interactions of the rs174547 with macronutrient on abdominal obesity.
RESULTS: About 1 in 2 vegetarians (51.5%) had abdominal obesity. Individuals with CT and TT genotype at T3 intake of carbohydrates, protein, fat and fibre as well as individuals with TT genotype at T2 intake of carbohydrates and protein had higher odds of abdominal obesity (pinteration <0.05). The gene-diet interaction remained significant for fibre intake (OR: 4.71, 95% CI: 1.25-17.74, pinteraction=0.022) among vegetarians with TT genotype at T2 intake of fibre after adjusting for age and sex and considering the effects of ethnicity and food groups.
CONCLUSIONS: The rs174547 significantly interacted with fibre intake on abdominal obesity. A specific dietary fibre recommendation based on genetics is needed among Chinese and Indian middle-aged vegetarians.