SUpporting People in extreme POverty with Rehabilitation and Therapy (SUPPORT CP): a trial among families of children with cerebral palsy in Bangladesh.

AIM: To test the efficacy of an integrated microfinance/livelihood and community-based rehabilitation (IMCBR) programme in improving health-related quality of life (HRQoL) and motor function of children with cerebral palsy (CP) and gain in social capital to their ultra-poor families in rural Bangladesh. METHOD: This was an open-label cluster randomized control trial. Children with CP aged 5 years or under were randomly allocated to three arms; Arm A: IMCBR; Arm B: community-based rehabilitation (CBR); and Arm C: care-as-usual. The CBR was modified with phone follow-up followed by home-based CBR at 2.5 months post-enrolment because of the COVID-19 pandemic. Intention-to-treat analysis was performed. RESULTS: Twenty-four clusters constituting 251 children-primary caregivers' dyads were assigned to three arms (Arm A = 80; Arm B = 82; Arm C = 89). Between baseline and endline, the percentage mean change in the physical functioning domain of HRQoL was highest in Arm A (30.0%) with a significant mean difference between Arm A and Arm B (p = 0.015). Improvement in the mean social capital score was significantly higher in Arm A compared to Arm C (p < 0.001). INTERPRETATION: The findings suggest that IMCBR could improve the HRQoL of children with CP and the social capital of their ultra-poor families. Long-term follow-up of the trial participants and future exploration of such interventions are essential. The integrated livelihood and CBR programme holds potential to improve health and well-being of children with CP and their ultra-poor families.

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.

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.

Prevalence and associated factors of suicidal behaviors among Bangladeshi rural community people: Findings from the 'BD ComMen Study'.

BACKGROUND: Suicide is considered as one of the major public health concerns, which can be prevented with cost-effective and timely intervention. In Bangladesh, very few studies assessed the suicidal behavior of rural community people. Thus, this Bangladesh Community Mental Health Study (BD ComMen Study) attempted to understand the current situation of suicidality in Bangladeshi rural community people considering three-time frames: lifetime, past year, and past month. METHODS: A cross-sectional study was conducted in a rural community in Bangladesh between May 17 and 31, 2022, using a cluster sampling technique. Information on socio-demographics, COVID-19-related factors, depression, anxiety, insomnia, and suicidal behaviors was collected. The Chi-square test or Fisher's exact test and logistic regression were used to analyze the data. RESULTS: During their lifetime, 33.1% of the rural community people had suicidal thoughts, whereas 5.5% made a plan for suicide and 1.8% attempted suicide. The prevalence of past-year suicidal ideation was 3.9%, whereas 1.4% had a suicide plan. In addition, 0.6% had past-month suicidal thoughts, although none of them had planned or attempted suicide. The factors associated with suicidal behaviors included males, lower age, lower educational grade, low-earning jobs, living in a government-provided house, family history of mental health and suicide, and suffering from anxiety and insomnia. CONCLUSIONS: Suicidal behaviors among the rural community people are of great concern as most of the rural people in Bangladesh do not have enough mental health literacy for treatment-seeking due to a high level of mental health-related stigma. Thus, this study would likely help to initiate further studies and stimulate suicide prevention programs, because most suicide can be prevented.

Prevalence and risk factors of sleep problems in Bangladesh during the COVID-19 pandemic: a systematic review and meta-analysis.

The outbreak of the novel coronavirus disease 2019 (COVID-19) has altered people's lives worldwide and fostered the emergence of sleep problems. However, no systematic review and meta-analysis has yet been conducted to rigorously evaluate the impact of COVID-19 on sleep problems from a Bangladeshi perspective. As a result, the current systematic review and meta-analysis aims to fill this knowledge gap, which may lead to a better understanding of the prevalence and risk factors associated with sleep problems. To conduct this systematic review, PRISMA guidelines were followed; a literature search was conducted to include studies published till 5th March 2022 from the inception of COVID-19 pandemic in Bangladesh searching databases such as PubMed, Scopus. A total of eleven studies were included. The JBI checklist was used to assess the methodological quality of included studies. The overall estimated prevalence of sleep problems was 45% (95% CI: 32% to 58%, I2 =99.31%). General populations were more affected by sleep problems [52% (95% CI: 36% to 68%, I2 =98.92%)] than the healthcare professionals [51% (95% CI: 23% to 79%, I2 =97.99%)] (χ2 = 137.05, p <0.001). Additionally, results suggested that suffering from sleep problems were higher among female (OR: 1.15; 95% CI: 1.03 to 1.29 compared to men); urban residents (OR: 1.77; 95% CI: 1.55 to 2.02 compared to rural); and anxious person (OR: 5.15; 95% CI: 4.32 to 6.14 compared to non-anxious), whereas single participants less likely to suffer from sleep related problems (OR: 0.81; 95% CI: 0.71 to 0.94). The prevalence rate of sleep problems was high and the general populations was at particularly high risk. Further longitudinal studies are warranted to investigate the trajectories of such sleep problems as a function of pandemic changes.

Prevalence and risk factors of COVID-19 suicidal behavior in Bangladeshi population: are healthcare professionals at greater risk?

BACKGROUND: Current COVID-19 researches suggest that both general population and health-care providers (HCPs) are at risk of elevated psychological sufferings including suicidality. However, suicidality has not been addressed properly, although mental health problems are studied globally. Besides, the extreme fear of COVID-19 infection is being existed among the Bangladeshi HCPs, that is reported by a recent patients' suicide because of HCPs treatment negligence. METHODS: A web-based cross-sectional study was administered through the social media platforms. A total 3,388 respondents took part in the survey (mean age 30.1 ± 6.4 years) among them 834 were frontline HCPs (30.7 ± 5.6 years). The measures included socio-demographics, PPE-related and patient-care related information and a question concerned with the COVID-19 suicidal behavior. RESULTS: About 6.1% of the total participants had suicidal behavior, with no detectable differences within the groups (i.e., general population and HCPs). Regression analysis showed that being female, being divorced, and having no child were emerged as independent predictors for suicidality. There was no significant association between the PPE-related or patient-care related variables and suicidal behavior of the HCPs. Majority of the participants sometimes had fear of death although no significant relation of the factor was found with suicidality. LIMITATIONS: The study can be limited because of its nature (i.e., cross-sectional self-reporting online survey) and not considering non-COVID-19 related suicide risk factors etc. CONCLUSIONS: The present findings identified the substantial proportion of the HCPs and general population had COVID 19 related suicidal behavior. It can be used to advocate a large-scale suicide safety plan using a multidisciplinary approach herein.

The COVID-19 pandemic and serious psychological consequences in Bangladesh: A population-based nationwide study.

BACKGROUND: As with other countries worldwide, lockdown measures during the COVID-19 outbreak in Bangladesh were sudden and unexpected, and have the capacity to elicit serious psychological consequences. The present study examined the psychological consequences of COVID-19 in Bangladesh during the lockdown period. METHODS: A nationwide online cross-sectional survey study recruited 10,067 individuals covering all 64 districts in Bangladesh via social media (April 1-10, 2020). The survey comprised questions concerning socio-demographics, knowledge of COVID-19, behavior towards COVID-19, fear of COVID-19, insomnia, depression, and suicidal ideation. Logistic regression and structural equation modeling (SEM) analyses were performed to identify the risk factors depression and suicidal ideation. Geographical information system (GIS)-based spatial analysis was used to identify district-wise susceptibility to depression and suicidal ideation. FINDINGS: The prevalence rate of depression and suicidal ideation related to COVID-19 was 33% and 5%%. Common risk factors for suicidal ideation and depression included being young, being female, being a cigarette smoker, having comorbid diseases, having high scores on the Fear COVID-19 Scale, and having insomnia symptoms. GIS-based maps detected high depression and suicidal ideation in the capital of Bangladesh and the districts near the capital as well as coastal areas where COVID-19 prevalence was high, as compared with districts with no reported cases. LIMITATIONS: Self-reported scales and cross-sectional design of the study. CONCLUSION: COVID-19 is associated with major psychological impact across Bangladesh, underlining the need of strategically located psychological support measures and improved access to mental health services, especially among women and younger people.