Association between comorbidity and health-related quality of life in a hypertensive population: a hospital-based study in Bangladesh.

BACKGROUND: Hypertension is a known risk factor for several chronic conditions including diabetes and cardiovascular diseases. However, little is known about its impact on Health-related quality of life (HRQoL) in the context of Bangladesh. This study aimed to evaluate the association of hypertension on HRQoL among Bangladeshi patients corresponding to the socio-demographic condition, comorbid conditions, treatment, and health outcomes. METHODS: A hospital based cross-sectional study was conducted using a pre-tested structured questionnaire among patients with hypertension in 22 tertiary medical college hospitals in Bangladesh. The study recruited male and female hypertensive patients of age ≥18 years between July 2020 to February 2021 using consecutive sampling methods. Health related quality of life was measured using the widely-used index of EQ-5D that considers 243 different health-related attributes and uses a scale in which 0 indicates a health state equivalent to death and 1 indicates perfect health status. The five dimensions of the quality index included mobility, self-care, usual activities, pain or discomfort, and anxiety or depression. Ordered logit regression and linear regression models were used to estimate the predictors of comorbidity and HRQoL. RESULTS: Of the 1,912 hypertensive patients, 56.2% were female, 86.5% were married, 70.7% were either overweight or obese, 67.6% had a family history of hypertension, and 85.5% were on anti-hypertensive medication. Among the individuals with comorbidities, 47.6% had diabetes, 32.3% were obese, 16.2% had heart disease, 15% were visually impaired, and 13.8% were suffering from psychological diseases. HRQoL was found to be inversely proportional to the number of comorbidities. The most frequent comorbidities of diabetes and obesity showed the highest EQ- 5D mean utilities of 0.59 and 0.64, respectively. CONCLUSIONS: Prevalent comorbidities, diabetes and obesity were found to be the significant underlying causes of declining HRQoL. It is recommended that the comorbidities should be adequately addressed for better HRQoL. Special attention should be given to address mental health issues of patients with hypertension.

Prevalence and determinants of antibiotics self-medication among indigenous people of Bangladesh: a cross-sectional study.

OBJECTIVES: Self-medication with antibiotics (SMA) contributes significantly to the emergence of antimicrobial resistance (AMR), especially in low-income countries including Bangladesh. This study aimed to generate evidence on the self-reported prevalence of antibiotic self-medication and its determinants among indigenous people residing in Bangladesh's Chittagong Hill Tracts (CHT) districts. DESIGN: This study used a cross-sectional design with data collected through a survey using a semi-structured questionnaire. SETTING: This study was conducted from late January to early July 2021; among different indigenous group populations aged 18 years or more olders residing in the three districts of CHT. PARTICIPANTS: A total of 1336 indigenous people residing in Bangladesh's CHT districts were included. PRIMARY OUTCOME AND EXPLANATORY VARIABLES: The primary outcome measure was SMA while explanatory variables were socio-demographic characteristics, health status of participants, and knowledge of antibiotics usage and its side effects. RESULTS: Among the study participants, more males (60.54%) than females (51.57%) reported using antibiotics. The SMA rate was high among individuals with education levels below secondary (over 50%) and those in the low-income group (55.19%). The most common diseases reported were cough, cold and fever, with azithromycin being the most frequently used antibiotic. Levels of education, family income, having a chronic illness and place of residence were found to be the significant predictors of having good knowledge of antibiotic use as found in the ordered logit model. Findings from a logistic regression model revealed that men had 1.6 times higher odds (adjusted OR (AOR) 1.57; 95% CI 1.12 to 2.19) of SMA than women. Participants with ≥US$893 per month family income had lowest odds (AOR 0.14; 95% CI 0.03 to 0.64) of SMA than those who earned