Background: Frontline doctors are the most vulnerable and high-risk population to get the novel coronavirus disease 2019 (COVID-19) infection. Hence, we aimed to evaluate the anxiety, depression, sleep disturbance and fear of COVID-19 among frontline doctors of Bangladesh during the pandemic, and the associated factors for these psychological symptoms. Methods: In total, 370 frontline doctors who were involved in the treatment of suspected or confirmed COVID-19 patients during the pandemic took part in an online cross-sectional study. Recruitment was completed using convenience sampling and the data were collected after the start of community transmission of COVID-19 in the country. Anxiety and depression, sleep disturbance, and fear of COVID-19 were assessed by the Patient Health Questionnaire-4, two-item version of the Sleep Condition Indicator, and the Fear of Coronavirus-19 scale, respectively. Socio-demographic information, health service-related information, co-morbidity, and smoking history were collected for evaluating risk factors. The proportion of psychological symptoms were presented using descriptive statistics and the associated factors were identified using multinomial logistic regression analysis. Results: Of the doctors, 36.5% had anxiety, 38.4% had depression, 18.6% had insomnia, and 31.9% had fear of COVID-19. In multinomial logistic regression, inadequate resources in the workplace were found as the single most significant predictor for all psychological outcomes: anxiety and/or depression (severe, OR 3.0, p=0.01; moderate, OR 5.3, p=0.000; mild, OR 2.3, p=0.003), sleep disturbance (moderate, OR 1.9, p=0.02), and fear of COVID-19 (severe, OR 1.9, p=0.03; moderate, OR 1.8, p=0.03). Conclusions: The study demonstrated a high burden of psychological symptoms among frontline doctors of Bangladesh during the COVID-19 pandemic situation. Inadequate resources are contributing to the poor mental health of Bangladeshi doctors. The supply of sufficient resources in workplaces and mental health counseling may help to mitigate the burden of the psychological symptoms identified among the respondents..

Aims/Introduction: We aimed to assess the health‐related quality of life (HRQoL) and identify its predictors among type 2 diabetes patients of Bangladesh.Materials and Methods: This nationwide cross‐sectional study assessed HRQoL among 1,806 type 2 diabetes patients using the EuroQol‐5 Dimensions Questionnaire (EQ‐5D‐5L), and the responses were further translated into a single summary crosswalk index score using the UK time trade‐off value set. The predictors were determined using multinomial logistic regression analysis.Results: The mean EQ‐5D‐5L index score was 0.62 (standard deviation 0.25), and men scored better than women. More than half of the study participants (53.4%) were ranked as “average” HRQoL. Overall, 64% of respondents had a “problem” at least in one of the dimensions of the EQ‐5D‐5L, and the burden of reported “problems” was higher among women (70%). Among the five dimensions, the highest reported “problem” was 79.8% for anxiety/depression, 77.7% for pain/discomfort and 60.1% for mobility. However, younger participants (aged 1) were being men, living in a rural area, married, literate, a monthly income >19,488 BDT, absence of comorbidity and had a duration of diabetes ≤5 years.Conclusions: The majority of Bangladesh’s type 2 diabetes patients had an “average” HRQoL based on the EQ‐5D‐5L index score. In broad terms, the identified predictors were sex, place of residence, marital status, literacy, monthly income, comorbidity and duration of diabetes.

Background: Frontline doctors are the most vulnerable and high-risk population to get the novel coronavirus disease 2019 (COVID-19) infection. Hence, we aimed to evaluate the anxiety, depression, sleep disturbance and fear of COVID-19 among frontline doctors of Bangladesh during the pandemic, and the associated factors for these psychological symptoms. Methods: In total, 370 frontline doctors who were involved in the treatment of suspected or confirmed COVID-19 patients during the pandemic took part in an online cross-sectional study. Recruitment was completed using convenience sampling and the data were collected after the start of community transmission of COVID-19 in the country. Anxiety and depression, sleep disturbance, and fear of COVID-19 were assessed by the Patient Health Questionnaire-4, two-item version of the Sleep Condition Indicator, and the Fear of Coronavirus-19 scale, respectively. Socio-demographic information, health service-related information, co-morbidity, and smoking history were collected for evaluating risk factors. The proportion of psychological symptoms were presented using descriptive statistics and the associated factors were identified using multinomial logistic regression analysis. Results: Of the doctors, 36.5% had anxiety, 38.4% had depression, 18.6% had insomnia, and 31.9% had fear of COVID-19. In multinomial logistic regression, inadequate resources in the workplace were found as the single most significant predictor for all psychological outcomes: anxiety and/or depression (severe, OR 3.0, p=0.01; moderate, OR 5.3, p=0.000; mild, OR 2.3, p=0.003), sleep disturbance (moderate, OR 1.9, p=0.02), and fear of COVID-19 (severe, OR 1.9, p=0.03; moderate, OR 1.8, p=0.03). Conclusions: The study demonstrated a high burden of psychological symptoms among frontline doctors of Bangladesh during the COVID-19 pandemic situation. Inadequate resources are contributing to the poor mental health of Bangladeshi doctors. The supply of sufficient resources in workplaces and mental health counseling may help to mitigate the burden of the psychological symptoms identified among the respondents..

Objective To determine the prevalence of non-communicable disease (NCD) risk factors among nurses and para-health professionals (PHPs) working at primary healthcare centres in Bangladesh. In addition to this, we also investigated the association of these risk factors with the categories of health professions. Design Cross-sectional study and the sampling technique was a census. Setting The study site was a medical university of Bangladesh where the study population was recruited by NCD Control Programme of Directorate General of Health Services to participate in a 3-day training session from November 2017 to May 2018. Participants A total of 1942 government-employed senior staff nurses (SSNs) and PHPs working at Upazila Health Complexes. Primary and secondary outcome measures The data were collected using a modified STEPwise approach to NCD risk factors surveillance questionnaire of the World Health Organisation (V.3.2). The prevalence of NCD risk factors was presented descriptively and the χ² test was used to determine the association between NCD risk factors distribution and categories of health professions. Results The mean age of the participants was 37.6 years (SD 9.5) and most of them (87.6%) had a diploma in their respective fields. Physical inactivity (86.9%), inadequate fruits and/vegetable intake (56.3%) and added salt intake (35.6%) were the most prevalent behavioural risk factors. The prevalence of central obesity, overweight, raised blood glucose and raised BP were 83.5%, 42.6%, 19.2% and 12.8% respectively. Overall, the NCD risk factors prevalence was higher among PHPs compared with SSNs. A highly significant association (p<0.001) was found between risk factors and the categories of health professions for tobacco use, alcohol intake, added salt intake and physical inactivity. Conclusion High NCD risk factors prevalence and its significant association with SSNs and PHPs demand an appropriate risk-reduction strategy to minimise the possibility of chronic illness among them.

There is absolute lacking of evidences on atherogenic index of plasma (AIP) and its association with cardiovascular disease (CVD) risk factors among postmenopausal women of Bangladesh. This prompted us to investigate this association between AIP and CVD risk factors among postmenopausal women in a rural setting. This cross-sectional study recruited 265 postmenopausal women aged 40-70 years who visited a primary health-care center of Bangladesh. We used modified STEP-wise approach for the Surveillance of Noncommunicable diseases risk factors questionnaire of the World Health Organization to collect data on sociodemographic and behavioral risk factors. Physical measurements were carried out following the method described in the 'noncommunicable disease risk factors survey Bangladesh 2010'. AIP was determined by the logarithmic transformation of triglyceride to high-density lipoprotein ratio, and association with CVD risk factors were examined by multiple linear regression analysis. Overall 35.5% respondents had a high risk level of AIP with a mean of 0.16 ± 0.25. After adjusting the confounders, CVD risk factors including duration of menopause (β = 0.606, p = 0.043), waist-hip ratio (β = 0.165, p = 0.003), 2-h plasma glucose (β = 0.118, p = 0.04), total cholesterol (β = 1.082, p < 0.001), low-density lipoprotein cholesterol (β = -1.044, p < 0.001), and metabolic equivalent of tasks (β = -0.171, p = 0.003) showed a significant association with AIP. High AIP and its significant association with CVD risk factors demand proper lifestyle intervention for postmenopausal women of Bangladesh.

The role of physical inactivity in relation to cardiovascular disease (CVD) among postmenopausal women is understudied. The main objective of this study was to measure the physical activity levels (PALs) and evaluate its relation to other CVD risk factors among postmenopausal rural women of Bangladesh. A cross-sectional study was conducted among 265 postmenopausal women aged 40-70 years who visited the outpatient department of a primary health-care center situated in the village Karamtola of Gazipur district. A pretested modified questionnaire of STEP-wise approach to Surveillance (STEPS) of noncommunicable disease risk factors was used to collect data on sociodemographic and lifestyle factors. PAL was determined by the Estimated Energy Requirement (EER) equation of the Dietary Reference Intakes (DRIs) Committee, and association with CVD risk factors was examined by Spearman's rank correlation. More than half (58.1%) of the postmenopausal women were identified as sedentary with high prevalence of central obesity (73.2%) among them. CVD risk factors including age (r = -0.228, p < 0.01), age at menopause (r = -0.129, p < 0.05), duration of menopause (r = -0.183, p < 0.05), 2-h plasma glucose (r = -0.148, p < 0.05), total cholesterol (r = -0.138, p < 0.05), low-density lipoprotein cholesterol (r = -0.122, p < 0.05), and triglyceride (r = -0.168, p < 0.01) showed a significant as well as inverse association with Metabolic Equivalent of Task (MET) of physical activity. Low PAL and significant inverse correlation with various CVD risk factors demand interventions to maintain higher PAL among postmenopausal women of Bangladesh.