Time Management Behavior Structural Equation Model Predicts Global Sleep Quality in Traditional Entry University Students.

Background: Poor sleep is commonplace among traditional entry university students. Lifestyle modifications, such as time management behaviors, may improve sleep quality by allocating sufficient time for sleep and mitigating stress-associated sleep latency inefficiencies.

Purpose: The purpose of our study was to evaluate time management behaviors as predictors of sleep quality in traditional entry university students.

Forecasting the incidence of dengue in Bangladesh-Application of time series model.

Background: Dengue is an alarming public health concern in terms of its preventive and curative measures among people in Bangladesh; moreover, its sudden outbreak created a lot of suffering among people in 2018. Considering the greater burden of disease in larger epidemic years and the difficulty in understanding current and future needs, it is highly needed to address early warning systems to control epidemics from the earliest.

Objective: The study objective was to select the most appropriate model for dengue incidence and using the selected model, the authors forecast the future dengue outbreak in Bangladesh.

Patients' understanding, management practices, and challenges regarding hypertension: A qualitative study among hypertensive women in a rural Bangladesh.

Background: Hypertension, as one of the main predisposing factors of many non-communicable diseases, is generally underdiagnosed among women with a significant uncontrolled rate. This study explores the understanding, management practice and challenges related to hypertension among hypertensive women in rural Bangladesh.

Methods: A qualitative study was conducted among hypertensive rural women at Kumarkhali Upazilla, Kushtia, Bangladesh, using purposive and snowball sampling technique.

Perception and experiences regarding COVID-19 pandemic among urban young adults in Bangladesh: a mixed-method study.

Aim: This study aimed at exploring the perception and experiences with regard to the COVID-19 pandemic among Bangladeshi urban young adults.

Subject And Methods: Using a mixed-method approach, an online cross-sectional survey among 315 participants and in-depth interviews (IDI) among 20 young adults were conducted from May 1 to May 25, 2020. Descriptive statistics and chi-square tests were performed for quantitative data, along with the thematic analysis for qualitative data.

Predictors Associated With Knowledge and Practice of Helminthic Infection Prevention Among Rural School-Aged Children's Parents in Bangladesh: A Cross-Sectional Study.

Parasitic infection has become a major public health concern in light of its increasing prevalence in developing countries, particularly in rural settings. Helminthic infections disproportionately affect children, and therefore appropriate parental knowledge and practical approaches to transmission prevention are essential. The objective of this study was to evaluate the level of knowledge and implementation measures aimed at preventing helminthic infection among rural school-aged children's parents in Bangladesh.

Depression literacy and awareness programs among Bangladeshi students: An online survey.

Background: Preventing depression and helping individuals to become more resilient to depression, awareness-related programs have been suggested. To implement such programs, depression literacy (D-Lit) assessment is needed. However, little information is known about it in Bangladesh, and this gap was addressed - in the present study.

Investigating Bangladeshi Rural Women's Awareness and Knowledge of Cervical Cancer and Attitude Towards HPV Vaccination: a Community-Based Cross-Sectional Analysis.

Cervical cancer remains a significant disease burden and contributes to prominent cancer-related mortality among women. This study aimed to assess awareness and knowledge of cervical cancer and attitude towards HPV vaccination among rural women in Bangladesh. A cross-sectional study was carried out from September 2019 to January 2020 involving 600 women selected using multi-stage sampling from six rural areas of Bangladesh.