Abstract

Introduction: The ready-made garment (RMG) sector is the main pillar of Bangladesh’s economy, and female garment workers are the key workers in this sector. Unfortunately, they are paid very little; in fact, their pay is among the lowest anywhere in the world. This situation makes the workers very vulnerable to different kinds of health-related problems, including malnutrition, and it also results in their having poor healthcare-seeking behavior. So, the aim of this study was to determine their nutritional status, their various kinds of health-related problems, and their healthcare-seeking behavior. 

Methods: This was a cross-sectional study in which purposive sampling was done. Data were collected through a structured questionnaire, and the participants’ heights and weights were measured according the guidelines provided by the World Health Organization (WHO). All data were computed and analyzed using SPSS version 16.01 software. Chi squared values were calculated to analyze the data and the prevalence rate ratio (PRR) was measured to determine the association of body mass index (BMI) with health problems. 

Results: More than half of the participants (53.67%) had various health problems, and almost half of them (43.33%) were underweight (BMI ≤ 18.5 kg/m2). Among those who were underweight, about 96% of them had one or more health-related problems in the last three months (P-value < 0.001). Their PRR was 2.59, which comprises low BMI as a risk factor for high morbidity. Among the workers who had one or more health-related problems, more than 22% of them did not go to see a doctor during their illnesses. Only about 12% of them went to qualified practitioners, and, surprisingly, 37% of those completed the prescribed treatment.   

Conclusion: The study showed that there is high morbidity among female garment workers who have low BMI values and poor healthcare-seeking behavior, factors that should be addressed by their employers and policy makers. 

Key words: morbidity pattern, garment worker, nutritional status
 
 
» HTML Fulltext    » PDF Fulltext    » doi: 10.14661/2014.801-807

Current Issue

July-September 2019 (Volume 11, Issue 3)


 

Previous Issue

In the second issue of the journal Electronic Physician for 2019, we have several papers including four Randomized Controlled Trials, a model development study, a case report, an editorial, a letter to editor (LTE), and several original research including two studies with qualitative approach. Authors of this issue are from nine countries: Iran, The Netherlands, Sweden, Italy, India, Thailand, Saudi Arabia, United Arab Emirates (UAE), and Jordan. Read more...


 

The 6th World Conference on Research Integrity (WCRI) is to be held on June 2-5, 2019 in Hong Kong.

The WCRI is the largest and most significant international conference on research integrity. Since the first conference in Lisbon in 2007, it has given researchers, teachers, funding agencies, government officials, journal editors, senior administrators, and research students opportunities to share experiences and to discuss and promote integrity in research. Read more:


 

TDR Clinical Research and Development Fellowships

Call for applications

Deadline for submission: 7 March 2019, 16:00 (GMT)

TDR provides fellowships for early- to mid-career researchers and clinical trial staff (e.g. clinicians, pharmacists, medical statisticians, data managers, other health researchers) in low- and middle-income countries (LMICs) to learn how to conduct clinical trials. Read more:


Meta-Analysis Workshops in New York, USA, and London, UK, in April and May 2019

Don't miss this exceptional opportunity to learn how to perform and report a Meta-analysis correctly. Two Meta-analysis workshops are organized in April and May 2019 by Dr. Michael Borenstein in New York, USA (April 08-10, 2019) and London, UK (May 27-29).

About the Instructor

Dr. Michael Borenstein, one of the authors of Introduction to Meta-Analysis, is widely recognized for his ability to make statistical concepts accessible to researchers as well as to statisticians. He has lectured widely on meta-analysis, including at the NIH, CDC, and FDA. Read more: