Trend and gender-based association of the Bangladeshi student suicide during the Covid-19 pandemic

A GIS-based nationwide distribution

Datos Bibliográficos

ID19274316
AutoresMohammed A Mamun (0000-0002-1728-8966, CHINTA Research Bangladesh, Savar, Dhaka, Bangladesh), Md Al Mamun (0000-0002-6540-9195, Jahangirnagar University), Ismail Hosen (0000-0001-6406-7325, CHINTA Research Bangladesh, Savar, Dhaka, Bangladesh), Tanvir Ahmed (0000-0001-8421-7626, CHINTA Research Bangladesh, Savar, Dhaka, Bangladesh), Istihak Rayhan (0000-0003-0943-836X, Jahangirnagar University), Firoj Al-Mamun (0000-0003-4611-9624, CHINTA Research Bangladesh, Savar, Dhaka, Bangladesh, autor de correspondencia)
Año2023
Volumen69
Número1
Páginas38-46
Fecha de publicación2023-02-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaInternational Journal of Social Psychiatry (JOURNAL)
Identificadores de la revistaISSN: 0020-7640 • E-ISSN: 1741-2854
EditorialSAGE Publications (PUBLISHER • US)
DOI10.1177/00207640211065670
PMID34961356
OpenAlexW4200208171
IdiomaEN
Citas recibidas4
Referencias citadas24

BACKGROUND: Students are one of the most vulnerable groups to suicide. Before the COVID-19 pandemic, a Bangladeshi study was conducted assessing their suicide patterns regarding gender-based associations. But how has the pandemic changed the Bangladeshi students' suicide patterns is not studied yet, which is investigated herein. Besides, for the first time, this study provides GIS-based distribution of suicide cases across the country's administrative district. METHODS: As Bangladesh has no suicide surveillance system, this study utilized media reporting suicide cases following the prior studies. A total of 127 students' suicide cases from March 2020 to March 2021 were finally analyzed after eliminating the duplicate ones, and data were synthesized following the prior studies. Arc-GIS was also used to distribute the suicide cases across the administrative district. RESULTS: = 101), whereas relationship complexities (15.7%), being emotional (12.6%), not getting the desired one (11%), conflict with a family member (9.4%), academic failure (9.4%), mental health problem (8.7%), sexual complexities (6.3%), scolded or forbidden by parents (3.9%) were the prominent suicide causalities. In respect to gender and suicide patterns, only the suicide stressor was significantly distributed, whereas the method of suicide was significantly associated with GIS-based distribution. However, a higher number of suicide cases was documented in the capital (i.e. Dhaka) and the northern region than in its surrounding districts. CONCLUSIONS: The findings reported herein are assumed to be helpful to identify the gender-based suicide patterns and suicide-prone regions in the time of the COVID-19 pandemic to initiate suicide prevention programs of the risky students

2019-20 coronavirus outbreak · Association (psychology) · Coronavirus disease 2019 (COVID-19) · Disease · Distribution (mathematics) · Environmental health · Geography · Injury prevention · Outbreak · Pandemic · Poison control · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) · Sociology · Suicide prevention · COVID-19 and Mental Health · Demography · Human Factors and Ergonomics · Medicine · Mental Health Treatment and Access · Psychology · Suicide and Self-Harm Studies · Virology