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ABSTRACT This population‐based, nationally representative cross‐sectional study assessed the daily salt consumption status and its associated cardiovascular disease (CVD) risk factors using weighted data from the STEPwise approach to noncommunicable disease risk factor surveillance conducted in 2018 in Bangladesh. It included a non‐institutionalized adults’ population of 6189 men and women aged 18–69 years. Their daily salt consumption was estimated using the spot urine sodium concentration following the Tanaka equation and reported according to the standard nomenclature proposed by the World Hypertension League and partner organizations involved in dietary salt reduction. Out of a total of 6189 participants, 2.4% consumed the recommended amount of salt (10–15 g/day), and 2.6% consumed an extremely high amount of salt (>15 g/day). In univariate analysis, a higher than recommended level of salt intake (≥5 g/day) was significantly prevalent among rural residents (high = 78.4%, very‐high = 81.6%, extremely‐high = 84.9%, p = 0.01), literates (high = 51.6%, very‐high = 57.9%, extremely‐high = 59.1%, p = 0.02), newly diagnosed hypertension (high = 20.6%, very‐high = 23.6%, extremely‐high = 24.1%, p = 0.008), and overweight/obese (high = 25.9%, very‐high = 33.3%, extremely‐high = 29.8%, p = 0.000). Similarly, in ordinal logistic regression analysis, the categories of daily salt consumption showed a significant association with rural residence (OR: 1.300, CI: 1.109–1.524, p = 0.001), literates (OR: 0.777, CI: 0.671–0.900, p = 0.001), newly diagnosed hypertension (OR: 1.204, CI: 1.022–1.419, p = 0.026), and overweight/obesity (OR: 1.353, CI: 1.145–1.598, p = 0.000). The current national pattern of salt consumption in Bangladesh may help reconstruct the salt reduction strategy considering the associated risk factors.

Abstract Aims/Introduction Our objective was to estimate the prevalence of hyperglycemia at baseline, and identify its predictors among community clinic (CC) users from a selected rural area of Bangladesh. Materials and Methods This cross‐sectional study partly used the baseline data of implementation research in which a total of 11,244 adults visited the CC, and their blood glucose, blood pressure and anthropometry were evaluated according to ‘Action 2’ of the World Health Organization (WHO) Package of Essential Noncommunicable Disease Interventions (PEN) protocol 1. Of these, 11,144 had complete information on demography, chronic diseases and their risk factors, which were collected during the implementation of ‘Action 1’ of WHO PEN protocol 1 at the household level. Hyperglycemia, prediabetes (PreD) and type 2 diabetes were diagnosed using the WHO criteria. Results Using WHO PEN protocol 1, the estimated baseline prevalence was 12.5% for hyperglycemia, 3.4% for PreD and 9.2% for type 2 diabetes, and was more prevalent among men compared with women. PreD and type 2 diabetes had significantly higher odds ratio (OR >1) of having common risk factors as follows: age ≥40 years (PreD, P

Background: Our primary objective was to estimate the prevalence of metabolic syndrome (MetS) among postmenopausal women (PMW) and evaluate the correlation of its severity score with the risk of cardiovascular diseases (CVD). In addition, we compared the distribution of CVD risk and risk factors among PMW with or without MetS. Methods: We recruited 265 PMW of 40-70 years of age from February to December 2016 who had no CVD. The MetS was defined according to modified Adult Treatment Panel III criteria and MetS severity score was constructed using a standardized Z score. CVD risk was assessed using the lab-based Globorisk score. Results: About 35.1% of the PMW had MetS. The proportion of central obesity, generalized obesity, physical inactivity, diabetes, and hypertension were higher among those with MetS than those without. A highly significant CVD risk score difference (P

Abstract 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: Prevention of cardiovascular disease (CVD) among postmenopausal women with limited resource is a great challenge for a country like Bangladesh. Objectives: This study aimed to evaluate the level of agreement among different risk prediction tools to find out the cost-effective and suitable one that can be applied in a low-resource setting. Methods: This was a cross-sectional study conducted from February through December 2016 among 265 postmenopausal women of 40–70 years age. Data were collected from the outpatient department of a rural health-care center situated in the village Karamtola of Gazipur district, Bangladesh. The CVD risk was estimated using the World Health Organization/International Society of Hypertension (WHO/ISH) “with” and “without” cholesterol risk charts and the Framingham Risk Score (FRS). Concordance among the tools was evaluated using Cohen's kappa (κ), prevalence-adjusted bias-adjusted kappa (PABAK), and first-order agreement coefficient (AC1). Results: The “without” cholesterol version showed 79% concordance against the “with” cholesterol and 75.4% concordance against the FRS. In between the WHO/ISH risk charts, slight-to-substantial levels of agreement (κ = 0.14, PABAK = 0.58, and AC1 = 0.72; P = 0.023) were observed. With FRS, the “without” cholesterol version showed higher agreement (κ = 0.38, fair; PABAK = 0.50, moderate; and AC1 = 0.60, moderate; P = 0.000) compared to “with” cholesterol version (κ = 0.13, slight; PABAK = 0.30, fair; and AC1 = 0.44, moderate; P = 0.013). Predictability of CVD risk positive (≥10%) cases was similar for both the versions of WHO/ISH risk charts. Conclusion: In a low-resource setting, the “without” cholesterol version of WHO/ISH risk chart is a good option to detect and target the population with high CVD risk.

Background and objectives: Justification for application of 2017 American College of Cardiology/American Heart Association (ACC/AHA) guidelines to detect hypertension (HTN) among Bangladeshi population is understudied. This prompted us to examine the level of agreement between 2017 ACC/AHA and Joint National Committee 7 (JNC 7) guidelines to detect postmenopausal HTN in a rural area of Bangladesh. Materials and Methods: This cross-sectional study recruited 265 postmenopausal women of 40−70 years of age who visited a rural primary health care centre of Bangladesh. HTN was diagnosed based on two definitions: the JNC 7 guidelines (SBP ≥ 140 or DBP ≥ 90 mmHg), and the 2017 ACC/AHA guidelines (SBP ≥ 130 mmHg, or DBP ≥ 80 mmHg). The prevalence of postmenopausal HTN, its sub-types and stages were reported and compared using frequency and percentage. Agreement was evaluated using Cohen’s Kappa (κ), Prevalence-Adjusted Bias-Adjusted Kappa (PABAK) and First-order Agreement Coefficient (AC1). Results: The prevalence of postmenopausal HTN was 67.5% and 41.9% using 2017 ACC/AHA and JNC 7 guidelines respectively. Among the HTN sub-types and stages, the new 2017 ACC/AHA guideline classified higher proportion of respondents as having isolated systolic hypertension (ISH) (42.6%) and stage 2 HTN (35.8%) compared to JNC 7 (28.7% and 6.8% respectively). On the other hand, the JNC 7 guideline identified more respondents as pre-hypertensive (32.5%) when compared with the 2017 ACC/AHA guideline (3.8%). Between two guidelines, highest agreement was observed for ISH (86.03%) and those had pre-hypertension/elevated blood pressure (71.3%). Similarly, Landis & Koch’s approach detected highest agreement for ISH (κ = 0.74, substantial; PABAK = 0.76, substantial; AC1 = 0.84, excellent; p < 0.001) and pre-hypertension/elevated blood pressure (κ= 0.12, slight; PABAK = 0.42, moderate; AC1 = 0.83, excellent; p < 0.001). Conclusions: The 2017 ACC/AHA HTN guideline reported high agreement and detected more participants as hypertensive when compared with JNC 7 guideline for Bangladeshi postmenopausal women that demands further large-scale study in general population to clarify the current findings more precisely.

Introduction: The impact of coronary artery disease (CAD) on the later development of dementia is not well studied globally. Therefore, this study aims to determine the long-term risk of dementia using a mobile application-based tool in addition to elucidating the contributing factors among CAD patients. Protocol: This cross-sectional study collected data from 285 stable CAD patients admitted to the “Ibrahim Cardiac Hospital and Research Institute” for coronary revascularization from August 2019 to July 2020. The patients were recruited using a convenient sampling technique due to economic and logistical issues. Data were collected through a face-to-face interview using a pretested semi-structured questionnaire. Physical parameters (blood pressure and anthropometry) were measured while maintaining the adequate privacy of the patients. The biochemical parameters analyzed by the hospital lab were also collected. The next phase of this study involves the use of a mobile application that uses the Cardiovascular Risk Factors, Aging, and Incidence of Dementia (CAIDE) dementia risk score, to determine the risk factors associated with dementia. In addition, a descriptive statistical and inferential analysis will also be performed to determine the key contributing risk factors linked to the development of dementia. Ethics and dissemination: The study has been reviewed and approved by the Ethical Review Committee of Bangladesh University of Health Sciences. The results will be actively disseminated through peer-reviewed journals, conference presentations, social media, online news portal, the internet, and various community/stakeholder engagement activities. Conclusion: As a baseline study of the country, this study will fill a key knowledge gap in the pathway to the development of better interventions for dementia in Bangladesh. Outcomes from this study will also help with raising awareness on the association of mental health-related issues with cardiovascular diseases so that an improved cardiac rehabilitation program can be implemented in Bangladesh.

Introduction: The impact of coronary artery disease (CAD) on the later development of dementia is not well studied globally. Therefore, this study aims to determine the long-term risk of dementia using a mobile application-based tool in addition to elucidating the contributing factors among CAD patients. Protocol: This cross-sectional study collected data from 285 stable CAD patients admitted to the “Ibrahim Cardiac Hospital and Research Institute” for coronary revascularization from August 2019 to July 2020. The patients were recruited using a convenient sampling technique due to economic and logistical issues. Data were collected through a face-to-face interview using a pretested semi-structured questionnaire. Physical parameters (blood pressure and anthropometry) were measured while maintaining the adequate privacy of the patients. The biochemical parameters analyzed by the hospital lab were also collected. The next phase of this study involves the use of a mobile application-based tool, “The Cardiovascular Risk Factors, Aging, and Incidence of Dementia (CAIDE)” risk score, to determine the risk factors associated with dementia. In addition, a descriptive statistical and inferential analysis will also be performed to determine the key contributing risk factors linked to the development of dementia. Ethics and dissemination: The study has been reviewed and approved by the Ethical Review Committee of Bangladesh University of Health Sciences. The results will be actively disseminated through peer-reviewed journals, conference presentations, social media, online news portal, the internet, and various community/stakeholder engagement activities. Conclusion: As a baseline study of the country, this study will fill a key knowledge gap in the pathway to the development of better interventions for dementia in Bangladesh. Outcomes from this study will also help with raising awareness on the association of mental health-related issues with cardiovascular diseases so that an improved cardiac rehabilitation program can be implemented in Bangladesh.

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..

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..

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..

Introduction: The impact of coronary artery disease (CAD) on the later development of dementia is not well studied globally. Therefore, this study aims to determine the long-term risk of dementia using a mobile application-based tool in addition to elucidating the contributing factors among CAD patients. Protocol: This ongoing cross-sectional study is collecting data from 285 stable CAD patients admitted to the “Ibrahim Cardiac Hospital and Research Institute” for coronary revascularization from August 2019 to July 2020. The patients were recruited using a convenient sampling technique due to economic and logistical issues. Data were collected through a face-to-face interview using a pretested semi-structured questionnaire. Physical parameters (blood pressure and anthropometry) were measured while maintaining the adequate privacy of the patients. The biochemical parameters analyzed by the hospital lab were also collected. The next phase of this study involves the use of a mobile application-based tool, “The Cardiovascular Risk Factors, Aging, and Incidence of Dementia (CAIDE)” risk score, to determine the risk factors associated with dementia. In addition, a descriptive statistical and inferential analysis will also be performed to determine the key contributing risk factors linked to the development of dementia. Ethics and dissemination: The study has been reviewed and approved by the Ethical Review Committee of Bangladesh University of Health Sciences. The results will be actively disseminated through peer-reviewed journals, conference presentations, social media, online news portal, the internet, and various community/stakeholder engagement activities. Conclusion: As a baseline study of the country, this study will fill a key knowledge gap in the pathway to the development of better interventions for dementia in Bangladesh. Outcomes from this study will also help with raising awareness on the association of mental health-related issues with cardiovascular diseases so that an improved cardiac rehabilitation program can be implemented in Bangladesh.