| dc.description.abstract | Background: Depression among garment workers is a growing public health
issue in both developed and developing countries. And depression is an overlooked
issue among garment workers in Bangladesh. This study aims to assess the
prevalence determinants of depression among garment workers in Chittagong,
Bangladesh.
Methodology: This cross-sectional study was conducted in three selected
Ready-Made Garment (RMG) factories, total participants was 300 but I analysed
150 participants data. Among 150 participants were 47 males and 103 females,
aged 18 and above. Data were collected through structured, interview-based
surveys using a random sampling method. Informed consent was prepared and
written in an easy way based on the participant’s comfort level. Statistical analysis
was conducted using SPSS to identify relationships between socio-demographic
factors and depression levels among the participants.
Result: This study found that 36.7% of garment workers in Chattogram suffer
from severe depression, with socio-demographic factors influencing its prevalence.
Severe depression was more common among females (69.1%) than males (30.9%).
The highest prevalence was observed in the 24–29 age group (38.2%) and among
married participants severe depression is (45.5%). Education and family size also
influence the prevalence, with 49.1% of those with secondary education and 58.2%
of workers with 5–8 family members experiencing severe depression. Economic
status showed an inverse relationship with depression, as 36.4% of participants
earning 11,000–20,000 BDT reported severe depression.
Conclusion: This study demonstrates a high prevalence of moderate-to-severe
depression (36.7%) among garment workers in Chittagong, Bangladesh. Gender,
age groups, marital status and lower income levels were key factors influencing
depression rates. These findings highlight the urgent need for targeted mental
health interventions and workplace support to improve the well-being of garment
workers. | en_US |
