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14 result(s) for "Sakib, Najmuj"
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Knowledge and preventive behaviors regarding COVID-19 in Bangladesh: A nationwide distribution
Assessing individuals’ knowledge and preventive behaviors towards the Coronavirus Disease of 2019 (COVID-19) is essential for the related public health surveillance strategies. Although some of the studies were conducted in Bangladesh, none of these studies considered the geographical distribution of knowledge and preventive behaviors towards COVID-19. Therefore, the present nationwide cross-sectional study with 10,067 samples for the first-time aims to assess the knowledge gap by presenting the geographical distribution of the COVID-19 knowledge and preventive behaviors across all administrative districts of Bangladesh. The measures included socio-demographics and questions about knowledge and preventive behaviors related to COVID-19. One-way ANOVA, independent t-test, and multiple linear regression were used to analyze the data. In addition, GIS-based mapping identified district-wise distribution of the outcomes. Results indicated that the overall mean score of knowledge related to COVID-19 was 14.363 ± 3.073, whereas 16.95 ± 2.89 was for preventive behaviors. Participants’ being male, being divorced or widowed, consuming alcohol, smoking cigarettes, living in villages, and having no formal education reported lower performing preventive COVID-19 behaviors. Those participants with higher knowledge scores reported higher preventive COVID-19 behaviors (β = 0.053, p <0.001). However, the model predicted only 13.2% of the variation in preventive COVID-19 behaviors while the overall model being significant. The findings suggest that the Bangladeshi government should initiate appropriate far-reaching program of health education focusing on knowledge and preventive behaviors towards COVID-19 at a community level. After all, the strategies to combat COVID-19 will require individuals’ involvement to control and prevent the disease outbreak, for which education is essential.
Fear of COVID-19 and Depression: A Comparative Study Among the General Population and Healthcare Professionals During COVID-19 Pandemic Crisis in Bangladesh
The COVID-19 pandemic affects individuals’ mental health that can result in fear of getting COVID-19 infection and depression. As there is no prior study available, we evaluated these mental health outcomes and associated factors among the general population and healthcare professionals (HCPs) in Bangladesh. This nationwide cross-sectional study comprised 3388 individuals including 834 HCPs. The measures included socio-demographics, healthcare, and patient-care related information, the Bangla Patient Health Questionnaire, and the Bangla Fear of COVID-19 Scale. Multiple linear regression analyses were performed to identify risk factors. Just over one-quarter of the participants were depressed, and was significantly associated with COVID-19 fear. Regression analyses showed that, both in general population and HCPs, depression and fear of COVID-19 were strongly predicted by being female; however, depression was inversely associated with being married. Particularly, among the HCPs, being restless while examining a patient with flu-like symptoms and while examining a patient returning from abroad was found to be significant predictor for both depression and fear of COVID-19. HCPs who were using single protective equipment for a week had greater depression and those who felt insecure due to the pandemic had a high level of COVID-19 fear. The findings identified major psychological impacts among the participants, suggesting the urgent need to promote mental wellbeing in both general population and medical professionals.
Sleep duration during the COVID-19 pandemic in Bangladesh: A GIS-based large sample survey study
Although several studies have been conducted in Bangladesh regarding sleep problems during the COVID-19 pandemic, none have utilized a large nationwide sample or presented their findings based on nationwide geographical distribution. Therefore, the aim of the present study was to explore the total sleep duration, night-time sleep, and daily naptime and their associated factors as well as geographic information system (GIS) distribution. A cross-sectional survey was carried out among 9730 people in April 2020, including questions relating to socio-demographic variables, behavioral and health factors, lockdown, depression, suicidal ideation, night sleep duration, and naptime duration. Descriptive and inferential statistics, both linear and multivariate regression, and spatial distribution were performed using Microsoft Excel, SPSS, Stata, and ArcGIS software. The results indicated that 64.7% reported sleeping 7–9 h a night, while 29.6% slept less than 7 h nightly, and 5.7% slept more than 9 h nightly. 43.7% reported 30–60 min of daily nap duration, whereas 20.9% napped for more than 1 h daily. Significant predictors of total daily sleep duration were being aged 18–25 years, being unemployed, being married, self-isolating 4 days or more, economic hardship, and depression. For nap duration, being aged 18–25 years, retired, a smoker, and a social media user were at relatively higher risk. The GIS distribution showed that regional division areas with high COVID-19 exposure had higher rates of non-normal sleep duration. Sleep duration showed a regional heterogeneity across the regional divisions of the country that exhibited significant associations with a multitude of socioeconomic and health factors.
Factors determining preventive practices of the healthcare workers regarding COVID‐19 in Bangladesh
Purpose Identifying the factors influencing the preventive practices of the healthcare workers (HCWs) is crucial during the ongoing coronavirus disease 2019 (COVID‐19) because the HCWs are exposed to unparalleled levels of risks. Such concern is starting to be explored worldwide although there is only a single study available in Bangladesh with a limited scope of explorations of the domain. Therefore, this study aimed to identify the factors determining better preventive practices of HCWs toward COVID‐19. Materials and methods A cross‐sectional one‐to‐one survey was carried out using a validated questionnaire from December 15, 2020 to March 15, 2021 among a sample of 640 HCWs from Khulna, a southwestern division of Bangladesh, consisting of ten districts. The measures included socio‐demographics, knowledge, attitude, and preventive practices related information. A binary logistic regression analysis was conducted to identify factors determining preventive practices of HCWs toward COVID‐19. Results More than half of the respondents (62%) were following better preventive practices. Besides, around 70% of them had better knowledge and attitudes toward the disease. Regression analysis showed a number of major determining factors of the HCWs' better preventive practices including being a nurse or other professionals (ie, radiologists and pathologists), being graduates, working in coronavirus isolation units, managing COVID‐19 patients, having previous training, and having better attitudes toward COVID‐19. Conclusion The findings confirmed that the HCWs were generally practicing preventive manners although these trends followed were not at the standard level. So, providing guidance and information from authentic sources and organizing proper training could possibly enhance the preventive behavior in managing COVID‐19 patients.
COVID-19-Related Suicides in Bangladesh Due to Lockdown and Economic Factors: Case Study Evidence from Media Reports
[...]some individuals’ mental health is very fragile (Lin 2020). (2020) reported some of the psychological consequences in India (the neighboring country of Bangladesh) including self-harm due to COVID-19 misinformation. [...]impacts on mental health (e.g., depression, anxiety, panic, and traumatic stress) can also occur due to the lack of accurate information (Rajkumar 2020; Sahoo et al. 2020; Tandon 2020). [...]the family experienced economic hardship. The country is developing day by day although the wealth distribution is imbalanced. [...]a significant minority of individuals live below the poverty line (i.e., 20% live below the poverty line and 10.5% live in extreme poverty as reported in the 2018–2019 economic year; Financial Express 2019).
Psychometric Validation of the Bangla Fear of COVID-19 Scale: Confirmatory Factor Analysis and Rasch Analysis
The recently developed Fear of COVID-19 Scale (FCV-19S) is a seven-item uni-dimensional scale that assesses the severity of fears of COVID-19. Given the rapid increase of COVID-19 cases in Bangladesh, we aimed to translate and validate the FCV-19S in Bangla. The forward-backward translation method was used to translate the English version of the questionnaire into Bangla. The reliability and validity properties of the Bangla FCV-19S were rigorously psychometrically evaluated (utilizing both confirmatory factor analysis and Rasch analysis) in relation to socio-demographic variables, national lockdown variables, and response to the Bangla Health Patient Questionnaire. The sample comprised 8550 Bangladeshi participants. The Cronbach α value for the Bangla FCV-19S was 0.871 indicating very good internal reliability. The results of the confirmatory factor analysis showed that the uni-dimensional factor structure of the FCV-19S fitted well with the data. The FCV-19S was significantly correlated with the nine-item Bangla Patient Health Questionnaire (PHQ-90) ( r  = 0.406, p  < 0.001). FCV-19S scores were significantly associated with higher worries concerning lockdown. Measurement invariance of the FCV-19S showed no differences with respect to age or gender. The Bangla version of FCV-19S is a valid and reliable tool with robust psychometric properties which will be useful for researchers carrying out studies among the Bangla speaking population in assessing the psychological impact of fear from COVID-19 infection during this pandemic.
Contamination of Selected Toxic Elements in Integrated Chicken-Fish Farm Settings of Bangladesh and Associated Human Health Risk Assessments
The presence of trace elements in the environment can contaminate a food chain of an agro farm in various ways. Integrated chicken-fish farms (i.e., where poultry chicken and fish are cultivated in same places) are getting popular nowadays to meet the demands of a balanced diet. The present study conducted a health risk assessment on the basis of selected heavy metal (i.e., Cr and Pb) and metalloid (i.e., As) contamination in this type of farm in Bangladesh. Samples of various types were collected from different farms between September 2019 and March 2020. The concentrations of the elements were checked by Flame-AAS and HG-AAS. Our findings demonstrated that the elements’ concentrations in fishes were simultaneously induced by the habitation and bioaccumulation through the food chain of the farm. The concentrations of As and Pb in the chicken parts and Cr and As in some fishes were greater than the highest limits set by different permissible standards. Overall, the metal concentration obtained in different samples was in descending order: sediment > droppings > different fish parts > various species of chicken > pond water. Among the pollutants, As gave target hazard quotient (THQ) values higher than 1 for all the species, suggesting health risks from the intake of fishes and chicken. However, there was non-target cancer risk present while considering all the elements together. Notably, the study found carcinogenic risks of As, Pb, and Cr for humans due to poultry and/or fish consumption; the identified health risks associated with the integrated farming setting will be crucial in further tackling strategies. Investigation of the possible sources of heavy metals in commercial chicken feeds and regular monitoring of groundwater used for agro-farming are highly recommended to reduce the burden.
Fear of COVID-19 and Depression: A Comparative Study Among the General Population and Healthcare Professionals During COVID-19 Pandemic Crisis in Bangladesh,Fear of COVID-19 and depression: a comparative study among the general population and healthcare professionals during the COVID-19 pandemic crisis in Bangladesh
The COVID-19 pandemic affects individuals’ mental health that can result in fear of getting COVID-19 infection and depression. As there is no prior study available, we evaluated these mental health outcomes and associated factors among the general population and healthcare professionals (HCPs) in Bangladesh. This nationwide cross-sectional study comprised 3388 individuals including 834 HCPs. The measures included socio-demographics, healthcare, and patient-care related information, the Bangla Patient Health Questionnaire, and the Bangla Fear of COVID-19 Scale. Multiple linear regression analyses were performed to identify risk factors. Just over one-quarter of the participants were depressed, and was significantly associated with COVID-19 fear. Regression analyses showed that, both in general population and HCPs, depression and fear of COVID-19 were strongly predicted by being female; however, depression was inversely associated with being married. Particularly, among the HCPs, being restless while examining a patient with flu-like symptoms and while examining a patient returning from abroad was found to be significant predictor for both depression and fear of COVID-19. HCPs who were using single protective equipment for a week had greater depression and those who felt insecure due to the pandemic had a high level of COVID-19 fear. The findings identified major psychological impacts among the participants, suggesting the urgent need to promote mental wellbeing in both general population and medical professionals.
Pediatric pneumonia patients in Jashore city, Bangladesh: screening of drug resistance pattern and molecular identification
Background: The most common cause of death among children is pediatric pneumonia. The increase of antibiotic abuse to treat pediatric pneumonia patients in Bangladesh is alarming for the rise of multidrug-resistant (MDR) bacteria. However, there is a dearth of research available regarding this. Hence, the current study was conducted on a pilot scale to identify the MDR bacteria from pediatric pneumonia patients by molecular approaches. Methods: Saliva  and  nasal  swab  samples  were  collected  for  3  months  (July- September  2019)  from  3children  with  suspected  pneumonia  at  two different  hospitals  in  Jashore  city,  Bangladesh.  Routine  biochemical tests were performed to identify the isolates presumptively. All isolates were  tested  for  antimicrobial  resistance  according  to  CLSI  guidelines using  17  antibiotics.  Finally,  amplified  ribosomal  DNA  restriction analysis  (ARDRA)  and  16S  rRNA  sequencing  with  phylogeny  were performed to confirm the bacteria at the species level. Results: From the samples collected from the patients, 47 isolates were obtained. The  biochemical  tests  presumptively  identified  Acinetobacter spp., as the most prevalent type, which was followed by Staphylococcus spp., and Enterobacter spp. Surprisingly, every isolate was MDR, resistant to at least four antibiotics. Cefepime and Cefotaxime showed the highest (i.e.,  100%  and  87%,  respectively)  resistance  pattern.  In  addition,  the isolates showed elevated resistance towards Amoxicillin, Vancomycin, Streptomycin,  Azithromycin,  Erythromycin,  Norfloxacin,  and Tetracycline. On the contrary, they were susceptible to Imipenem and Meropenem. Subsequently, the isolates were typed into three different groups by ARDRA; the strains Acinetobacter baumannii, Enterobacter hormaechei, and Staphylococcus pasteuri were confirmed. Conclusion: The  rapid  revolution  of  multidrug  resistant  organisms  has  an  impact on morbidity, mortality and healthcare associated cost. Unrestricted use  of  antibiotics  should  be  stopped  and  surveillance  is  necessary  for controlling the emergence of resistant bacteria Bangladesh Journal of Medical Science Vol. 23 No. 03 July’24 Page : 729-738
Distribution of P-Thalassemia and Other Hemoglobinopathies in Bangladeshi University Students and Ready-Made Garment Workers
Background: The inheritable thalassemia and other structural hemoglobinopathies are prevalent globally. In Bangladesh, there is a scarcity of studies concerning thalassemia and other structural hemoglobinopathies. Hence, the present study investigated the prevalence and distribution of P-thalassemia and other hemoglobinopathies among the university students and ready-made garment (RMG) workers. Methods: A cross-sectional study was conducted, whereas a total of 989 subjects were selected randomly from 10 garments industries (n=495) and five universities (n=494) for diagnosis and counseling from April 2018 to August 2018. Basic information related to the study and venous blood was collected and subjected to capillary Hb-electrophoresis for each participant. Results: The present study identified thalassemia carriers and other hemoglobinopathies among 13.6% of the participants (14.1% university students and 13.2% RMG workers). The most common form of hemoglobin formation disorder was the Hb-E trait (10.5%), considering both participants' groups. Other forms of hemoglobin formation disorders observed were a P-thalassemia trait, Hb-D trait, Hb-E disease, and P-thalassemia major. The hemoglobinopathies were significantly associated with the individuals who had a family history of thalassemia and were not vaccinated against hepatitis B in the total sample. Although not statistically suggestive, the most considerable portion (87.3%) of the carriers was unmarried in the present findings. Conclusion: The present study findings are anticipated to help the public health authorities by providing novel data (of a neglected cohort, ie, RGM workers), facilitating the upcoming comprehensive national thalassemia prevention programs. Keywords: thalassemia, hemoglobinopathies, premarital carrier screening, RMG workers, thalassemia education and awareness, Bangladesh