Dataset Information

Depressive symptoms associated with COVID-19 preventive practice measures, daily activities in home quarantine and suicidal behaviors: Findings from a large-scale online survey in Bangladesh.

ABSTRACT:

Background

The world is facing a public health emergency situation caused by the COVID-19 pandemic. Psychological wellbeing among individuals worldwide has been negatively affected by the pandemic especially in low- and middle-income countries such as Bangladesh. The present study aimed to assess the estimate of depressive symptoms and investigated its associations with COVID-19 preventive practice measures, daily activities in home quarantine, and suicidal behaviors in a large-scale Bangladeshi online survey.

Methods

An online-based cross-sectional survey was widely distributed to Bangladeshi citizens. A total of 13,654 participants (61.0% male; mean age = 24.0 years [SD = 6.0]; age range 18-65 years) completed the survey between May and June (2020). The survey included socio-demographics and COVID-19-related questions, along with lifestyle, suicidal, and psychometric measures. Hierarchical regression was performed to determine significant associations between depression and examined variables.

Results

The estimate of depressive symptoms during the COVID-19 pandemic was 43.5%. Based on hierarchical regression analysis, depression was significantly associated with not engaging in COVID-19 preventive measures, daily activities in home quarantine (e.g., playing videogames), and suicidal behaviors.

Conclusions

Depressive symptoms appeared to be high during the COVID-19 pandemic in Bangladesh. To fight against the pandemic, mental health issues as well as physical health issues need to be taken into consideration.

SUBMITTER: Islam MS

PROVIDER: S-EPMC8150150 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature

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Publications

Depressive symptoms associated with COVID-19 preventive practice measures, daily activities in home quarantine and suicidal behaviors: Findings from a large-scale online survey in Bangladesh.

Islam Md Saiful MS Tasnim Rafia R Sujan Md Safaet Hossain MSH Ferdous Most Zannatul MZ Sikder Md Tajuddin MT Masud Jakir Hossain Bhuiyan JHB Kundu Sourav S Tahsin Promi P Mosaddek Abu Syed Md ASM Griffiths Mark D MD

BMC psychiatry 20210526 1

<h4>Background</h4>The world is facing a public health emergency situation caused by the COVID-19 pandemic. Psychological wellbeing among individuals worldwide has been negatively affected by the pandemic especially in low- and middle-income countries such as Bangladesh. The present study aimed to assess the estimate of depressive symptoms and investigated its associations with COVID-19 preventive practice measures, daily activities in home quarantine, and suicidal behaviors in a large-scale Ban ...[more]

PMID: 34039292

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Project description:BackgroundDuring the early stage of the COVID-19 pandemic, many countries implemented non-pharmaceutical interventions (NPIs) to control the transmission of SARS-CoV-2, the causative pathogen of COVID-19. Among those NPIs, stay-at-home and quarantine measures were widely adopted and enforced. Understanding the effectiveness of stay-at-home and quarantine measures can inform decision-making and control planning during the ongoing COVID-19 pandemic and for future disease outbreaks.MethodsIn this study, we use mathematical models to evaluate the impact of stay-at-home and quarantine measures on COVID-19 spread in four cities that experienced large-scale outbreaks in the spring of 2020: Wuhan, New York, Milan, and London. We develop a susceptible-exposed-infected-removed (SEIR)-type model with components of self-isolation and quarantine and couple this disease transmission model with a data assimilation method. By calibrating the model to case data, we estimate key epidemiological parameters before lockdown in each city. We further examine the impact of stay-at-home and quarantine rates on COVID-19 spread after lockdown using counterfactual model simulations.ResultsResults indicate that self-isolation of susceptible population is necessary to contain the outbreak. At a given rate, self-isolation of susceptible population induced by stay-at-home orders is more effective than quarantine of SARS-CoV-2 contacts in reducing effective reproductive numbers [Formula: see text]. Variation in self-isolation and quarantine rates can also considerably affect the duration of outbreaks, attack rates and peak timing. We generate counterfactual simulations to estimate effectiveness of stay-at-home and quarantine measures. Without these two measures, the cumulative confirmed cases could be much higher than reported numbers within 40 days after lockdown in Wuhan, New York, Milan, and London.ConclusionsOur findings underscore the essential role of stay-at-home orders and quarantine of SARS-CoV-2 contacts during the early phase of the pandemic.

Project description:ImportanceAverage staffing measures are a focus of nursing homes' quality assessments and reporting. They may, however, mask daily variation in staffing, additional information that could be important for understanding nursing home quality and relative ranking.ObjectiveTo examine daily variation in staffing, its association with quality, and whether daily variation provides information regarding quality ranking of nursing homes over and above the information provided by average staffing levels.Design, setting, and participantsThis quality improvement study included registered nurses (RNs) and certified nurse aide (CNAs) at 13 339 certified nursing homes throughout the United States during 2017 to 2018. Retrospective analyses of the Payroll-Based Journal, Medicare Cost Reports, and Nursing Home Care Compare were conducted. Data were analyzed from January 2017 to December 2018.Main outcomes and measuresThree measures of daily variation, ie, coefficient of variation (COV), total outlier days (TOD), and low outlier days (LOD), were calculated for RNs and CNAs. The association between these measures and quality rankings and other facility characteristics were evaluated.ResultsA total of 13 339 nursing homes were included in this study, with 9476 (71%) for-profit facilities. The mean (SD) hours-per-resident-day were 0.41 (0.29) for RNs and 2.16 (0.49) for CNAs, and a mean (SD) 55% (26%) of residents were Medicaid beneficiaries. Outcome measures were as follows: mean (SD) COV, 0.5 (0.6) for RNs and 0.1 (0.1) for CNAs; mean (SD) TOD, 220 (69) for RNs and 44 (45) for CNAs; and mean (SD) LOD, 116 (45) for RNs and 22 (24) for CNAs. All 3 variation measures, for both RNs and CNAs, were significantly associated with both the 5-Star Quality Measures (COV among RNs, -0.014 [95% CI, -0.021 to -0.007]; P < .001; COV among CNAs: -0.004 [95% CI, -0.006 to -0.003]; P < .001; TOD among RNs, -3.79 [95% CI, -4.59 to -2.99]; P < .001; TOD among CNAs, -2.52 [95% CI, -3.08 to -1.96]; P < .001; LOD among RNs, -2.46 [95% CI, -3.03 to -1.88]; P < .001; LOD among CNAs, -1.29 [95% CI, -1.58 to -0.99]; P < .001) and the 5-Star Survey rankings (COV among RNs,-0.026 [95% CI, -0.033 to -0.019]; P < .001; COV among CNAs: -0.006 [95% CI, -0.007 to -0.004]; P < .001; TOD among RNs, -5.10 [95% CI, -5.97 to -4.23]; P < .001; TOD among CNAs, -4.16 [95% CI, -4.77 to -3.55]; P < .001; LOD among RNs, -3.04 [95% CI, -3.65 to -2.44]; P < .001; LOD among CNAs, -1.97 [95% CI, -2.29 to -1.65]; P < .001) published in Nursing Home Care Compare. Low κ values, ranging from 0.23 to 0.63, indicated that the variation measures add information about ranking to the information provided by average staffing measure.Conclusions and relevanceThese findings highlight the importance of reporting daily variation in staffing to improve understanding of the relationship between staffing and quality. They suggest that 2 facilities with the same average staffing achieve different quality of resident care and survey ratings in association with on the day-to-day variation in staffing. Measures of daily staffing may enhance the value of Nursing Home Care Compare for nursing homes and others engaged in quality improvement and consumers searching for high quality nursing homes.

Project description:ObjectiveSuicidal thoughts and behaviors (STBs) in children are an escalating public health concern. This study focused on 1 understudied candidate risk factor, namely, preschool-onset major depressive disorder (PO-MDD), as a predictor of persistent and emerging STBs from early childhood into preadolescence.MethodParticipants were 137 children 8 to 12 years of age who met criteria for PO-MDD when they were 3 to 6 years of age, and a nondepressed sample of 53 age-, income-, and sex-matched peers. STBs were reported by caregivers (preschool, preadolescence) and children (preadolescence) using age-appropriate diagnostic interviews.ResultsBy preadolescence, children who had PO-MDD were 7.38 times more likely than their peers to have endorsed STBs after early childhood (p < .001; 67.9% vs 22.6%), including 6.71 times more likely to have engaged in suicide behaviors/attempts (p = .012; 21.9% vs 3.8%); they were also 8.98 times more likely to have endorsed STBs over the prior month (p = .005; 26.3% vs 3.8%). Similar findings emerged when limiting the PO-MDD group to children without preschool STBs, and when controlling for externalizing comorbidities, implicating PO-MDD as a unique diagnostic predictive risk factor. However, children who had PO-MDD with STBs were 3.46 times more likely than children who had PO-MDD without STBs to endorse later STBs (p = .018; 83.1% vs 54.2%), indicating substantial continuity of preschool STBs alongside strikingly high rates of emerging STBs into preadolescence.Plain language summaryThis longitudinal study explores preschool onset major depressive disorder (PO-MDD) as a predictor of having suicidal thoughts or attempting suicide by age 12. 137 children aged 8 to 12 years who met criteria for PO-MDD when they were 3 to 6 years of age and 53 non-depressed peers were included in the study. The study found that preadolescents who had experienced preschool-onset depression were 6.14 times more likely to experience active suicidal thoughts and 8.03 times more likely to have made a suicide attempt by age 12 when compared to preadolescents who did not experience preschool depression. Results suggest that children with preschool-onset depression would likely benefit from increased suicide screening, proactive safety planning and early interventions.ConclusionPO-MDD is a strong risk factor for the emergence and persistence of STBs into preadolescence. Children with PO-MDD would likely benefit from increased suicide screening, proactive safety planning, and early interventions.

Dataset Information

Depressive symptoms associated with COVID-19 preventive practice measures, daily activities in home quarantine and suicidal behaviors: Findings from a large-scale online survey in Bangladesh.

Background

Methods

Results

Conclusions

Publications

Depressive symptoms associated with COVID-19 preventive practice measures, daily activities in home quarantine and suicidal behaviors: Findings from a large-scale online survey in Bangladesh.

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