Journal Articles (James P. Grant School of Public Health)
http://hdl.handle.net/10361/5117
2024-03-29T09:03:02Z
2024-03-29T09:03:02Z
Knowledge and practice regarding menstrual hygiene management among the Rohingya refugee adolescent girls in Cox’s Bazar, Bangladesh: A mixed method study
Rakhshanda, Shagoofa
Ahmed, Sahlil
Saidu, Samuel
Nderitu, Christine
Thapa, Basanta
Awal, Abdul
Farnaz, Nadia
Rahman, Atiya
Aktar, Bachera
Faruque, A.S.G.
http://hdl.handle.net/10361/17042
2022-07-27T08:17:48Z
2021-05-15T00:00:00Z
Knowledge and practice regarding menstrual hygiene management among the Rohingya refugee adolescent girls in Cox’s Bazar, Bangladesh: A mixed method study
Rakhshanda, Shagoofa; Ahmed, Sahlil; Saidu, Samuel; Nderitu, Christine; Thapa, Basanta; Awal, Abdul; Farnaz, Nadia; Rahman, Atiya; Aktar, Bachera; Faruque, A.S.G.
Purpose
About half of the 16% adolescents in the world experience menstruation. Menstrual hygiene management (MHM) is a health concern and challenge especially in humanitarian situations as experienced by Myanmar Rohingya refugees living in Cox’s Bazar, Bangladesh. This study aims to assess knowledge, practice and influencing factors for MHM among Rohingya refugee adolescent girls of 14–18 years.
Design/methodology/approach
The study used both quantitative (a cross-sectional survey with 340 adolescent girls through a structured questionnaire) and qualitative (7 in-depth interviews with adolescent girls and 2 focus group discussions with the mothers) approaches. Quantitative data, analyzed using STATA version 13.0, were supported by qualitative data, grouped into themes and presented as matrix.
Findings
Around 51% adolescent girls learned about menstruation after menarche, at the mean age of 12 years, from their mothers and older sisters. About 75% used sanitary pads as absorbents which they got mostly as relief material or bought from local stores (83%); the rest used cloths and other materials (25%). About 57% of the respondents disposed of their absorbent by burying. Those who used reusable absorbents washed them with soap and water (40%) and mostly dried them indoors (17%). Factors influencing healthy MHM practice included the use of absorbent, privacy, disposal, washing and drying of clothes, physical activities, hygiene and pain management. Adolescents with secondary or higher education were four times more likely to have better MHM practice (odds ratio = 4.27; confidence interval = 1.19–15.31) than those with no formal schooling.
This article was published in the International Journal of Human Rights in Healthcare by Emerald Publishing Limited [Copyright © 2021, Emerald Publishing Limited.] and the definite version is available at: https://doi.org/10.1108/IJHRH-10-2020-0096 The Journal's website is at: https://www.emerald.com/insight/content/doi/10.1108/IJHRH-10-2020-0096/full/html
2021-05-15T00:00:00Z
Association of household wealth and education level with hypertension and diabetes among adults in Bangladesh: A propensity score-based analysis
Gupta, Rajat Das
Chakraborty, Promit Ananyo
Hossain, Md. Belal
http://hdl.handle.net/10361/17036
2022-07-25T05:48:03Z
2021-05-15T00:00:00Z
Association of household wealth and education level with hypertension and diabetes among adults in Bangladesh: A propensity score-based analysis
Gupta, Rajat Das; Chakraborty, Promit Ananyo; Hossain, Md. Belal
Objective: To determine the association of household wealth and education level with hypertension and diabetes in Bangladesh using propensity score (PS) analyses.
Methods: A nationally representative sample of the Bangladesh Demographic and Health Survey 2017-18 was analysed to explore the research question. A weighted sample of 11 320 individuals was considered. Hypertension and diabetes were the outcomes of interest, and household wealth status (non-poor and poor) and education level (secondary/higher education and no secondary/higher education) were the exposure variables of interest. A person was defined as hypertensive if their average blood pressure was ≥140/90 mmHg or self-reported history of taking antihypertensive medications. Individuals were classified as diabetic if they had a Fasting Blood Glucose level of ≥7 mmol/l or reported taking prescribed medication for reducing high blood glucose or diabetes. We used the 1:1 nearest neighbour PS matching without replacement and PS weighting approaches to assess the association between the exposures and the outcome variables.
Results: Wealth status was significantly associated with diabetes but not with hypertension, while education status was significantly associated with neither diabetes nor hypertension. We also observed a significant interaction effect between household wealth status and education level with diabetes. The odds of diabetes were approximately 60% higher among adults from non-poor households and those without secondary/higher education.
Conclusion: Diabetes prevention and control programs should focus on non-poor individuals, while hypertension prevention programs should target populations irrespective of educational attainment and wealth status.
This article was published in the European Journal of Tropical Medicine & International Health by Wiley Online Library [© 2021 John Wiley & Sons Ltd.] and the definite version is available at: https://doi.org/10.1111/tmi.13625 The Journal's website is at: https://onlinelibrary.wiley.com/doi/10.1111/tmi.13625
2021-05-15T00:00:00Z
Knotted realities: Understanding what delays early and child marriage for girls in urban slums of Bangladesh
Ahsan, Sairana
Karim, Shuchi
Biswas, Subas
Rashid, Sabina Faiz
http://hdl.handle.net/10361/17034
2022-07-25T21:01:34Z
2021-04-01T00:00:00Z
Knotted realities: Understanding what delays early and child marriage for girls in urban slums of Bangladesh
Ahsan, Sairana; Karim, Shuchi; Biswas, Subas; Rashid, Sabina Faiz
Bangladesh has the fourth-highest prevalence of early and child marriage in the world. This trend has declined slightly over the years, but there is a dearth of research regarding underlying reasons. This article explores the phenomenon of delayed marriage for women in the context of understudied urban slums, and seeks to understand both why it happens and its consequences. The article uses data from 14 in-depth interviews (IDI) of girls who delayed their marriage beyond their 18th year, and two focus group discussions (FGD) with adolescent girls and young women aged between 13-24 years from a larger mixed-methods study conducted in two slums of the cities of Dhaka and Chattogram. Findings reveal that the key reasons for delaying marriage are poverty, inability to pay dowry for girls perceived as older, and the pressing obligations faced by young girls in having to take care of their families. It was also found that positive family support, mostly among better-off families, allows some girls pursue education rather than be married off at an early age. Link to journal: https://www.bdiusa.org/journal-bangladesh-studies
This article was published in the Journal of Bangladesh Studies by BDI.The Journal's website is at: https://www.researchgate.net/publication/350813846_Knotted_Realities_Understanding_What_Delays_Early_and_Child_Marriage_for_Girls_in_Urban_Slums_of_Bangladesh
2021-04-01T00:00:00Z
Bangla hate speech detection on social media using attention-based recurrent neural network
Das, Amit Kumar
Al Asif, Abdullah
Paul, Anik
Hossain, Md. Nur
http://hdl.handle.net/10361/17030
2022-07-24T21:01:36Z
2021-04-09T00:00:00Z
Bangla hate speech detection on social media using attention-based recurrent neural network
Das, Amit Kumar; Al Asif, Abdullah; Paul, Anik; Hossain, Md. Nur
Hate speech has spread more rapidly through the daily use of technology and, most notably, by
sharing your opinions or feelings on social media in a negative aspect. Although numerous works have
been carried out in detecting hate speeches in English, German, and other languages, very few works have
been carried out in the context of the Bengali language. In contrast, millions of people communicate on
social media in Bengali. The few existing works that have been carried out need improvements in both
accuracy and interpretability. This article proposed encoder–decoder-based machine learning model, a
popular tool in NLP, to classify user’s Bengali comments from Facebook pages. A dataset of 7,425 Bengali
comments, consisting of seven distinct categories of hate speeches, was used to train and evaluate our
model. For extracting and encoding local features from the comments, 1D convolutional layers were used.
Finally, the attention mechanism, LSTM, and GRU-based decoders have been used for predicting hate
speech categories. Among the three encoder–decoder algorithms, attention-based decoder obtained the
best accuracy (77%).
This article was published in the Journal of Intelligent Systems by De Gruyter [© 2021 Amit Kumar Das et al., published by De Gruyter, This work is licensed under the Creative Commons Attribution 4.0 International License.] and the definite version is available at: https://doi.org/10.1515/jisys-2020-0060 The Journal's website is at: https://www.degruyter.com/document/doi/10.1515/jisys-2020-0060/html
2021-04-09T00:00:00Z