DESIGN: Analysis of cross-sectional data collected from participants in a prospective cohort study.
SETTING: The Victorian rural towns of Morwell and Sale in 2018-2019.
PARTICIPANTS: A weighted random sample of 1119 eligible participants from Morwell or Sale, aged ≥55-90 years for men and ≥60-90 years for women, was drawn from the Hazelwood Health Study's Adult Survey cohort.
MAIN OUTCOME MEASURES: Blood pressure, body mass index, left ventricular hypertrophy by electrocardiogram, estimated glomerular filtration rate and glycosylated haemoglobin (HbA1c ) were measured. Participants with hypertension were categorised as managed, undermanaged or unmanaged.
RESULTS: Testing undertaken of 498 participants estimated the weighted prevalence of hypertension (defined as blood pressure ≥ 140/90 mm Hg, a self-reported doctor diagnosis of hypertension or taking antihypertensive medication) to be 79.9% (95% confidence interval: 75.7-83.4). Of those, 54.5% (49.4-60.0) had managed hypertension (<140/90 mm Hg), 37.1% (32.3-42.1) undermanaged hypertension and 8.4% (5.9-11.9) a new finding of hypertension (unmanaged hypertension). Current employment (relative risk 1.47, 95% confidence interval: 1.06-2.02) and single marital status (relative risk 1.45, 1.4-1.84) were associated with under- or unmanaged hypertension. Compared with no hypertension, the hypertensive groups were more likely to demonstrate markers of end-organ damage such as left ventricular hypertrophy and impaired renal function.
CONCLUSION: Hypertension is a highly prevalent condition among older rural Australians which is suboptimally identified and managed.
METHODS: This was a cross sectional study design. A total of 347 respondents from low household income groups, including persons with disability and Orang Asli were recruited from E-kasih. A semi-guided self-administered questionnaire was used. QOL measured by EQ. 5D utility value and health status measured by visual analogue score (VAS). Descriptive statistic, bivariate Chi-square analysis and binary logistic regression were conducted to determine factors influencing low QOL and poor health status.
RESULTS: Majority of the respondents were Malay, female (61%), 63% were married, 60% were employed and 46% with total household income of less than 1 thousand Ringgit Malaysia. 70% of them were not having any chronic medical problems. Factors that associated with low QOL were male, single, low household income, and present chronic medical illness, while poor health status associated with female, lower education level and present chronic medical illness. Logistic regression analysis has showed that determinants of low QOL was present chronic illness [AOR 4.15 95%CI (2.42, 7.13)], while determinants for poor health status were; female [AOR 1.94 95%CI (1.09,3.44)], lower education [AOR 3.07 95%CI (1.28,7.34)] and present chronic illness [AOR 2.53 95%CI (1.39,4.61)].
CONCLUSION: Low socioeconomic population defined as low total household income in this study. Low QOL of this population determined by present chronic illness, while poor health status determined by gender, education level and chronic medical illness.
METHODS: Two cross-sectional studies were conducted in urban and rural areas of Yangon Region in 2013 and 2014 respectively, using the WHO STEPwise approach to surveillance of risk factors of NCDs. Through a multi-stage cluster sampling method, 1486 participants were recruited.
RESULTS: Age-standardized prevalence of the behavioral risk factors tended to be higher in the rural than urban areas for all included factors and significantly higher for alcohol drinking (19.9% vs. 13.9%; p = 0.040) and low fruit & vegetable consumption (96.7% vs. 85.1%; p = 0.001). For the metabolic risk factors, the tendency was opposite, with higher age-standardized prevalence estimates in urban than rural areas, significantly for overweight and obesity combined (40.9% vs. 31.2%; p = 0.023), obesity (12.3% vs.7.7%; p = 0.019) and diabetes (17.2% vs. 9.2%; p = 0.024). In sub-group analysis by gender, the prevalence of hypercholesterolemia and hypertriglyceridemia were significantly higher in urban than rural areas among males, 61.8% vs. 40.4%; p = 0.002 and 31.4% vs. 20.7%; p = 0.009, respectively. Mean values of age-standardized metabolic parameters showed higher values in urban than rural areas for both male and female. Based on WHO age-standardized Framingham risk scores, 33.0% (95% CI = 31.7-34.4) of urban dwellers and 27.0% (95% CI = 23.5-30.8) of rural dwellers had a moderate to high risk of developing CHD in the next 10 years.
CONCLUSION: The metabolic risk factors, as well as a moderate or high ten-year risk of CHD were more common among urban residents whereas behavioral risk factors levels were higher in among the rural people of Yangon Region. The high prevalences of NCD risk factors in both urban and rural areas call for preventive measures to reduce the future risk of NCDs in Myanmar.
DISCUSSION: Several treatment options are available for different stages of prostate cancer. Hormone therapy known as androgen deprivation therapy (ADT) is the first line treatment used to treat advanced prostate cancer. Chemical castration by gonadotropin-releasing hormone agonists suppresses lutenizing hormone production, which in turn inhibits the production of testosterone and dihydrotestosterone. This will prevent the growth of prostate cancer cells. However, ADT causes deleterious effects on bone health because the androgens are essential in preserving optimal bone health in men.
CONCLUSION: Various observational studies showed that long-term ADT for advanced or metastatic prostate cancer was associated with decreased bone mineral density, as well as altered body composition that might affect bone health. Considering the potential impact of osteoporotic fracture, interventions to mitigate these skeletal adverse effects should be considered by physicians when initiating ADT on their patients.
METHODS AND RESULTS: We compared 5697 chronic HF patients of Indian (26%), white (23%), Chinese (17%), Japanese/Koreans (12%), black (12%), and Malay (10%) ethnicities from the HF-ACTION and ASIAN-HF multinational studies using the Kansas City Cardiomyopathy Questionnaire (KCCQ; range 0-100; higher scores reflect better health status). KCCQ scores were lowest in Malay (58±22) and Chinese (60±23), intermediate in black (64±21) and Indian (65±23), and highest in white (67±20) and Japanese or Korean patients (67±22) after adjusting for age, sex, educational status, HF severity, and risk factors. Self-efficacy, which measures confidence in the ability to manage symptoms, was lower in all Asian ethnicities (especially Japanese/Koreans [60±26], Malay [66±23], and Chinese [64±28]) compared to black (80±21) and white (82±19) patients, even after multivariable adjustment (P