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Knowledge and Attitude towards Nutrition among Pregnant women in Rural areas of Dhaka city, Bangladesh Abu Ansar Md. Rizwan, Mohammad Shamsul Huda, Iffat Ara Begum, Md. Abdul Mazid Azad, Md. Foqrul Hasan & Samsul Islam

Knowledge and Attitude towards Nutrition among Pregnant women in Rural areas of Dhaka city, Bangladesh

Author (s)

Abu Ansar Md. Rizwan, Mohammad Shamsul Huda, Iffat Ara Begum, Md. Abdul Mazid Azad, Md. Foqrul Hasan & Samsul Islam

Abstract

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The knowledge on the nutritional status of pregnant women in Bangladesh is not enough. About 60% of South Asian women have underweight children due to a lack of healthy food and nutrition during their childhood. Pregnant women are the main victims of unhealthy eating habits, which are responsible for malnutrition. Therefore, this study was conducted to assess knowledge and attitudes about nutrition among pregnant women in the rural areas of Dhaka, Bangladesh. A brief and descriptive study was conducted in four randomly selected villages in Nawabganj district in Dhaka, Bangladesh with 384 randomly selected pregnant women. Data were collected from respondents using a semi-structured questionnaire by face-to-face interviews, after taking participants’ verbal consent. The SPSS 20 model is used for data entry and analysis. The findings of the study indicate that more than half of the respondent’s level of knowledge about nutrition was excellent or good but only 43.0% respondents had excellent or good attitude towards nutrition. The level of knowledge was strongly associated with the age of respondents, the type of family and the number of pregnancies and the level of attitude was strongly associated with the age of the respondent and the number of pregnancies. Based on the results of the study, it can be recommended that healthy nutrition education should be strengthened to empower rural mothers to understand the importance of nutritious food during pregnancy. Long-term study on a large scale with the similar population can help to generalize the findings.

 Keywords: Knowledge, attitude, nutrition, pregnant women, Bangladesh.

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Title: Knowledge and Attitude towards Nutrition among Pregnant women in Rural areas of Dhaka city, Bangladesh
Author: Abu Ansar Md. Rizwan, Mohammad Shamsul Huda, Iffat Ara Begum, Md. Abdul Mazid Azad, Md. Foqrul Hasan & Samsul Islam
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.4904558
Media: Online
Volume: 5
Issue: 7
Acceptance Date: 05/06/2021
Date of Publication: 06/06/2021
PDF URL: https://ijsab.com/wp-content/uploads/776.pdf
Free download: Available
Page: 272-279
First Page: 272
Last Page: 279
Paper Type: Research Paper
Current Status: Published

Cite This Article:

Abu Ansar Md. Rizwan, Mohammad Shamsul Huda, Iffat Ara Begum, Md. Abdul Mazid Azad, Md. Foqrul Hasan & Samsul Islam (2021). Knowledge and Attitude towards Nutrition among Pregnant women in Rural areas of Dhaka city, Bangladesh. International Journal of Science and Business, 5(7), 272-279. doi: https://doi.org/ 10.5281/zenodo.4904558

Retrieved from https://ijsab.com/wp-content/uploads/776.pdf

 

About Author (s)

Abu Ansar Md. Rizwan (Corresponding author), Social Assistance & Rehabilitation for the Physically Vulnerable (SARPV), Dhaka, Bangladesh. E-mail: aamdrizwan@gmail.com

Mohammad Shamsul Huda, Social Assistance & Rehabilitation for the Physically Vulnerable (SARPV), Dhaka, Bangladesh.

Iffat Ara Begum, Friendship, Dhaka, Bangladesh.

Md. Abdul Mazid Azad, Save the Children, Dhaka, Bangladesh.

Md. Foqrul Hasan, Medicine San Frontiers (MSF), Cox’s Bazar, Bangladesh.

Samsul Islam, Dustha Shasthya Kendra (DSK), Dhaka, Bangladesh.

 

 

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DOI: https://doi.org/10.5281/zenodo.4904558

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Reviewing Data Mining as an enabling technology for BI Mustafa Nizamul Aziz & A.K.M. Monzurul Islam

Reviewing Data Mining as an enabling technology for BI

Author (s)

Mustafa Nizamul Aziz & A.K.M. Monzurul Islam

Abstract

Data mining (DM) is the process of discovering or “mining” new knowledge from large databases and applying it to decision making. In recent times, companies have been using a wide range of data mining techniques to better understand their customers and their performance and solve complex business problems. Data mining is a way to develop Business Intelligence (BI) from data that an organization collects, organizes, and stores. The purpose of this paper is to review Data Mining as an enabling technology for Business Intelligence. Documents analysis was used as the data collection method and a qualitative approach was used for data analysis in the study.

Keywords: Data, Information, Knowledge, Data Mining, Business Intelligence, Decision Support.

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Title: Reviewing Data Mining as an enabling technology for BI
Author:

Mustafa Nizamul Aziz & A.K.M. Monzurul Islam

Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.3908987
Media: Online
Volume: 4
Issue: 7
Acceptance Date: 24/06/2020
Date of Publication: 26/06/2020
PDF URL: https://ijsab.com/wp-content/uploads/567.pdf
Free download: Available
Page: 46-51
First Page: 46
Last Page: 51
Paper Type: Research Paper
Current Status: Published

Cite This Article:

Mustafa Nizamul Aziz & A.K.M. Monzurul Islam (2020). Reviewing Data Mining as an enabling technology for BI. International Journal of Science and Business, 4(7), 46-51. doi: https://doi.org/10.5281/zenodo.3908987

Retrieved from https://ijsab.com/wp-content/uploads/567.pdf

 

 

About Author (s)

Mustafa Nizamul Aziz (Corresponding Author), Senior Lecturer, East West University, Dhaka, Bangladesh.

A.K.M. Monzurul Islam, Independent University, Bangladesh.

 

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DOI: https://doi.org/10.5281/zenodo.3908987