The main purpose of this research study is to determine the important socio-economic, demographic, and cultural factors that significantly influence the nutritional status of adult women aged 40-55 years in an urban area of Bangladesh. The study used primary data collected from 234 women residing in the Chattogram metropolitan area to carry out this research work. In the analytical stage, in addition to the descriptive measures, the study employed the Chi-square test of independence to examine the significant association between nutritional status and available background characteristics of the respondents. Moreover, multinomial logistic regression analysis was employed to identify the significant predictors of nutritional status. The findings of this study show that the maximum of the respondents belongs to the overweight stratum (n=178, 76.1%), followed by normal weight (n=38, 16.2%). The overall mean BMI of the selected respondents was found 26.46±3.66 kg/m2 with marked variations by their background characteristics. The coefficient of variation (13.83%) illustrates that there exists extreme heterogeneity in the BMI of the respondents. The coefficient of skewness and access of kurtosis reflect the distribution of BMI is negatively skewed and leptokurtic. The highest mean BMI was found in the age group 40-45 years (27.78±3.34 kg/m2), and the lowest (23.87±3.39kg/m2) was in the non-Muslim respondents. Bivariate and multivariate analyses reveal that religion, respondents’ education, and husbands' education significantly influence the nutritional status of adult women. The findings also show that Muslim women are relatively well-nourished compared to their non-Muslim counterparts. Nonetheless, both highly educated women and women whose husbands are also highly educated are well-nourished than those who are below secondary education level. The findings of this study will be helpful for the policymakers and concerned health workers to implement appropriate policies to raise the educational qualifications for ensuring the balanced nutritional status of adult urban women in Bangladesh.
| Published in | Frontiers (Volume 1, Issue 4) |
| DOI | 10.11648/j.frontiers.20210104.15 |
| Page(s) | 79-88 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2021. Published by Science Publishing Group |
Nutrition, Older Women, Urban Area, Multinomial Logistic Regression, BMI
| [1] | WHO, “Global Health Risks,” 2009, [Online]. Available: http://www.who.int/healthinfo/global_burden_disease/GlobalHealthRisks_report_full.pdf. |
| [2] | “Children: improving survival and well-being.” https://www.who.int/news-room/fact-sheets/detail/children-reducing-mortality (accessed Jul. 27, 2021). |
| [3] | “Bangladesh: Nutrition Profile.” |
| [4] | M. M. H. Khan and A. Kraemer, “Factors associated with being underweight, overweight and obese among ever-married non-pregnant urban women in Bangladesh,” Singapore Med. J., vol. 50, no. 8, pp. 804–813, 2009. |
| [5] | National Institute of Population Research and Training (NIPORT) and ICF International, “Bangladesh demographic and health survey 2017-18,” pp. 1–511, 2020. |
| [6] | W. Bank, World Population Ageing 2019. 2019. |
| [7] | R. Khanam et al., “Levels and correlates of nutritional status of women of childbearing age in rural Bangladesh,” Public Health Nutr., vol. 21, no. 16, pp. 3037–3047, Nov. 2018, doi: 10.1017/S1368980018001970. |
| [8] | “National Micronutrient Survey 2011-12 Institute of Public Health Nutrition Directorate General of Health Services Ministry of Health and Family Welfare Government of the People’s Republic of Bangladesh.” |
| [9] | “Obesity and overweight.” https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight (accessed Nov. 08, 2021). |
| [10] | “Global Nutrition Report | Country Nutrition Profiles - Global Nutrition Report.” https://globalnutritionreport.org/resources/nutrition-profiles/asia/southern-asia/bangladesh/ (accessed Jul. 27, 2021). |
| [11] | R. Mukherjee, S. Chaturvedi, and R. Bhalwar, “Determinants of nutritional status of school children,” Med. J. Armed Forces India, vol. 64, no. 3, pp. 227–231, 2008, doi: 10.1016/S0377-1237(08)80099-8. |
| [12] | “Women’s education can improve child nutrition in India - PubMed.” https://pubmed.ncbi.nlm.nih.gov/12295805/ (accessed Jul. 27, 2021). |
| [13] | M. J. Raihan et al., “Factors associated with moderate wasting among marginalized 6 to 23-month aged children in Bangladesh: Findings of the Suchana program baseline survey data,” PLoS One, vol. 15, no. 8 August, Aug. 2020, doi: 10.1371/JOURNAL.PONE.0236786. |
| [14] | P. Panda, R. Prakash, A. I. Benjamin, S. Singh, and P. Zachariah, “Nutritional and immunisation status among under-fives and changes thereto over last five years in a Punjab village.,” Indian J. Matern. child Heal. Off. Publ. Indian Matern. Child Heal. Assoc., vol. 6, no. 2, pp. 54–56, Apr. 1995. |
| [15] | ray et al., “Rapid Assessment of Nutritional Status and Dietary Pattern in a Municipal Area,” Indian J. Community Med., vol. 25, no. 1, p. 14, 2021, Accessed: Jul. 28, 2021. [Online]. Available: https://www.ijcm.org.in/article.asp?issn=0970-0218;year=2000;volume=25;issue=1;spage=14;epage=18;aulast=ray;type=0. |
| [16] | T. Gopaldas, P. Patel, and M. Bakshi, “Selected Socio-economic, Environmental, Maternal, and Child Factors Associated with the Nutritional Status of Infants and Toddlers:,” https://doi.org/10.1177/156482658801000419, vol. 10, no. 4, pp. 29–34, Nov. 2018, doi: 10.1177/156482658801000419. |
| [17] | R. K. Rai, “Factors Associated With Nutritional Status Among Adult Women in Urban India, 1998-2006:,” http://dx.doi.org/10.1177/1010539512450606, vol. 27, no. 2, pp. NP1241–NP1252, Jun. 2012, doi: 10.1177/1010539512450606. |
| [18] | K. Ratsavong, T. Van Elsacker, D. Doungvichit, L. Siengsounthone, S. Kounnavong, and D. Essink, “Are dietary intake and nutritional status influenced by gender? The pattern of dietary intake in Lao PDR: A developing country,” Nutr. J., vol. 19, no. 1, pp. 1–16, 2020, doi: 10.1186/s12937-020-00545-9. |
| [19] | T. Assefa, O. Seid, F. Tadese, and T. Gebremedhin, “Nutritional Status and Associated Factors among Adult Psychiatric Patients in Dessie Referral Hospital, Northeast Ethiopia,” Psychiatry J., vol. 2020, pp. 1–9, 2020, doi: 10.1155/2020/5087573. |
| [20] | G. Letamo and K. Navaneetham, “Prevalence and determinants of adult under-nutrition in Botswana,” PLoS One, vol. 9, no. 7, 2014, doi: 10.1371/journal.pone.0102675. |
| [21] | S. SM, S. BJ, L. S, M. A, and B. R, “Prevalence and correlates of stunting among children in rural Pakistan,” Pediatr. Int., vol. 45, no. 1, pp. 49–53, Feb. 2003, doi: 10.1046/J.1442-200X.2003.01652.X. |
| [22] | V. Vella, ’ A Tomkins, A. Borghesi, G. B. Migliori, B. C. Adriko, and & E. Crevatin5, “Determinants of child nutrition and mortality in north-west Uganda,” 1992. |
| [23] | H. N. Ene-Obong, G. I. Enugu, and A. C. Uwaegbute, “Determinants of health and nutritional status of rural Nigerian women,” J. Heal. Popul. Nutr., vol. 19, no. 4, pp. 320–330, 2001, doi: 10.3329/jhpn.v19i4.105. |
| [24] | M. B. AH Mtumwa Bsc.General, M. S. E Paul BA.Statistics, and P. in M. and E. S. SAH Vuai Msc.Marine and Environmental Sciences, “Determinants of undernutrition among women of reproductive age in Tanzania mainland,” http://dx.doi.org/10.1080/16070658.2016.1216509, vol. 29, no. 2, pp. 75–81, 2016, doi: 10.1080/16070658.2016.1216509. |
| [25] | M. Zahangir, M. Hasan, A. Richardson, and S. Tabassum, “Malnutrition and non-communicable diseases among Bangladeshi women: an urban-rural comparison,” Nat. Publ. Gr., vol. 7, p. 250, 2017, doi: 10.1038/nutd.2017.2. |
APA Style
Tahmina Begum, Md. Abdul Karim, Moahmmad Omar Faruk. (2021). Factors Affecting Womens’ Nutrition in an Urban Area of Bangladesh. Frontiers, 1(4), 79-88. https://doi.org/10.11648/j.frontiers.20210104.15
ACS Style
Tahmina Begum; Md. Abdul Karim; Moahmmad Omar Faruk. Factors Affecting Womens’ Nutrition in an Urban Area of Bangladesh. Frontiers. 2021, 1(4), 79-88. doi: 10.11648/j.frontiers.20210104.15
Share This Article
Twitter
Linked In
Facebook
Copy
Download@article{10.11648/j.frontiers.20210104.15,
author = {Tahmina Begum and Md. Abdul Karim and Moahmmad Omar Faruk},
title = {Factors Affecting Womens’ Nutrition in an Urban Area of Bangladesh},
journal = {Frontiers},
volume = {1},
number = {4},
pages = {79-88},
doi = {10.11648/j.frontiers.20210104.15},
url = {https://doi.org/10.11648/j.frontiers.20210104.15},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.frontiers.20210104.15},
abstract = {The main purpose of this research study is to determine the important socio-economic, demographic, and cultural factors that significantly influence the nutritional status of adult women aged 40-55 years in an urban area of Bangladesh. The study used primary data collected from 234 women residing in the Chattogram metropolitan area to carry out this research work. In the analytical stage, in addition to the descriptive measures, the study employed the Chi-square test of independence to examine the significant association between nutritional status and available background characteristics of the respondents. Moreover, multinomial logistic regression analysis was employed to identify the significant predictors of nutritional status. The findings of this study show that the maximum of the respondents belongs to the overweight stratum (n=178, 76.1%), followed by normal weight (n=38, 16.2%). The overall mean BMI of the selected respondents was found 26.46±3.66 kg/m2 with marked variations by their background characteristics. The coefficient of variation (13.83%) illustrates that there exists extreme heterogeneity in the BMI of the respondents. The coefficient of skewness and access of kurtosis reflect the distribution of BMI is negatively skewed and leptokurtic. The highest mean BMI was found in the age group 40-45 years (27.78±3.34 kg/m2), and the lowest (23.87±3.39kg/m2) was in the non-Muslim respondents. Bivariate and multivariate analyses reveal that religion, respondents’ education, and husbands' education significantly influence the nutritional status of adult women. The findings also show that Muslim women are relatively well-nourished compared to their non-Muslim counterparts. Nonetheless, both highly educated women and women whose husbands are also highly educated are well-nourished than those who are below secondary education level. The findings of this study will be helpful for the policymakers and concerned health workers to implement appropriate policies to raise the educational qualifications for ensuring the balanced nutritional status of adult urban women in Bangladesh.},
year = {2021}
}
TY - JOUR T1 - Factors Affecting Womens’ Nutrition in an Urban Area of Bangladesh AU - Tahmina Begum AU - Md. Abdul Karim AU - Moahmmad Omar Faruk Y1 - 2021/11/24 PY - 2021 N1 - https://doi.org/10.11648/j.frontiers.20210104.15 DO - 10.11648/j.frontiers.20210104.15 T2 - Frontiers JF - Frontiers JO - Frontiers SP - 79 EP - 88 PB - Science Publishing Group SN - 2994-7197 UR - https://doi.org/10.11648/j.frontiers.20210104.15 AB - The main purpose of this research study is to determine the important socio-economic, demographic, and cultural factors that significantly influence the nutritional status of adult women aged 40-55 years in an urban area of Bangladesh. The study used primary data collected from 234 women residing in the Chattogram metropolitan area to carry out this research work. In the analytical stage, in addition to the descriptive measures, the study employed the Chi-square test of independence to examine the significant association between nutritional status and available background characteristics of the respondents. Moreover, multinomial logistic regression analysis was employed to identify the significant predictors of nutritional status. The findings of this study show that the maximum of the respondents belongs to the overweight stratum (n=178, 76.1%), followed by normal weight (n=38, 16.2%). The overall mean BMI of the selected respondents was found 26.46±3.66 kg/m2 with marked variations by their background characteristics. The coefficient of variation (13.83%) illustrates that there exists extreme heterogeneity in the BMI of the respondents. The coefficient of skewness and access of kurtosis reflect the distribution of BMI is negatively skewed and leptokurtic. The highest mean BMI was found in the age group 40-45 years (27.78±3.34 kg/m2), and the lowest (23.87±3.39kg/m2) was in the non-Muslim respondents. Bivariate and multivariate analyses reveal that religion, respondents’ education, and husbands' education significantly influence the nutritional status of adult women. The findings also show that Muslim women are relatively well-nourished compared to their non-Muslim counterparts. Nonetheless, both highly educated women and women whose husbands are also highly educated are well-nourished than those who are below secondary education level. The findings of this study will be helpful for the policymakers and concerned health workers to implement appropriate policies to raise the educational qualifications for ensuring the balanced nutritional status of adult urban women in Bangladesh. VL - 1 IS - 4 ER -
Information
Email: