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VOLUME 3 , ISSUE 1 ( January-June, 2025 ) > List of Articles

Original Article

Determinants of Undernutrition and Overweight among Women (19–45 Years): A Cross-sectional Study of Some South Asian Developing Countries

Faiqa A Tullah, Raana Bibi, Rabia Tabassum, Sarah N Tullah, Seemin Kashif

Keywords : Developing countries, Double burden of malnutrition, Obesity, South Asia, Underweight, Women

Citation Information : Tullah FA, Bibi R, Tabassum R, Tullah SN, Kashif S. Determinants of Undernutrition and Overweight among Women (19–45 Years): A Cross-sectional Study of Some South Asian Developing Countries. J Obstet Gynaecol 2025; 3 (1):3-7.

DOI: 10.5005/jogyp-11012-0041

License: CC BY-NC 4.0

Published Online: 12-02-2025

Copyright Statement:  Copyright © 2025; The Author(s).


Abstract

Aims and background: Being both underweight and overweight in women are major risks for maternal and fetal outcomes. This study aimed to find the double burden of malnutrition (DBM) in Pakistan, Bangladesh, Nepal, and Myanmar women, and sociodemographic factors involved. Materials and methods: Data were taken from the latest Demographic and Health Survey (DHS) datasets. Frequencies, percentages, and multinomial logistic regression analyses were done to assess the effects of sociodemographic variables on body mass index (BMI). Results: About 50% of women from Pakistan and Nepal, 65% from Bangladesh, and 71% from Myanmar lived in rural areas were involved in this study. About 50% of women from Pakistan, whereas less than 28% from Bangladesh, Nepal, and Myanmar had no formal education. About 40–50% of women from all four countries were poor. About 60% of women from Pakistan, whereas 30–40% from the other three countries had ≥3 “children ever born.” About 67% of women from Pakistan, whereas 40–50% from the other three had BMI ≥ 23, whereas 7.5–14% of women from all four countries had BMI <18.5. Multinomial regression showed increasing BMI with an increase in women's age and socioeconomic status in all countries. Higher BMI was associated with urban residence in Pakistan and Myanmar, with higher education in Nepal, Bangladesh, and Myanmar, and with ≥3 children in Nepal and Myanmar. Conclusion: Younger age, less education, rural residence, less wealth, and lesser number of children were major risk factors for underweight women, and opposite factors were risks for overweight. Clinical classical significance: The nutritional status of women in developing countries should be improved to improve the health of future generations.


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  1. Biswas T, Magalhaes RJS, Townsend N, et al. Double burden of underweight and overweight among women in South and Southeast Asia: A systematic review and meta-analysis. Adv Nutr 2020;11(1): 128–143. DOI: 10.1093/advances/nmz078.
  2. Grey K, Gonzales GB, Abera M, et al. Severe malnutrition or famine exposure in childhood and cardiometabolic non-communicable disease later in life: A systematic review. BMJ Glob Health 2021;6(3):e003161. DOI: 10.1136/bmjgh-2020-003161.
  3. Kumar P, Mangla S, Kundu S. Inequalities in overweight and obesity among reproductive age group women in India: Evidence from National Family Health Survey (2015–16). BMC Women's Health 2022;22(1):205. DOI: 10.1186/s12905-022-01786-y.
  4. Rai A, Gurung S, Thapa S, et al. Correlates and inequality of underweight and overweight among women of reproductive age: Evidence from the 2016 Nepal Demographic Health Survey. Navaneetham K, ed. PLoS ONE 2019;14(5):e0216644. DOI: 10.1371/journal.pone.0216644.
  5. Hasan E, Khanam M, Shimul SN. Socio-economic inequalities in overweight and obesity among women of reproductive age in Bangladesh: A decomposition approach. BMC Women's Health 2020;20(1):263. DOI: 10.1186/s12905-020-01135-x.
  6. Leocádio PCL, Lopes SC, Dias RP, et al. The transition from undernutrition to overnutrition under adverse environments and poverty: the risk for chronic diseases. Front Nutr 2021;8:676044. DOI: 10.3389/fnut.2021.676044.
  7. Wells JCK, Briend A, Boyd EM, et al. Beyond wasted and stunted— A major shift to fight child undernutrition. Lancet Child Adolescent Health 2019;3(11):831–834. DOI: 10.1016/S2352-4642(19)30244-5.
  8. Langley-Evans S. Early life programming of health and disease: The long-term consequences of obesity in pregnancy. J Hum Nutr Diet 2022;35:816–832. DOI: 10.1111/jhn.13023.
  9. Masood F, Masood A, Farooq HU, et al. Nutritional status of child of well-nourished mother vs malnourished mother. PJMHS 2022;16(12):275–277. DOI: 10.53350/pjmhs20221612275.
  10. Katoch OR. Determinants of malnutrition among children: A systematic review. Nutrition 2022;96:111565. DOI: 10.1016/j.nut.2021.111565.
  11. Mariapun J, Ng CW, Hairi NN. The gradual shift of overweight, obesity, and abdominal obesity towards the poor in a multi-ethnic developing country: Findings from the Malaysian National Health and Morbidity Surveys. J Epidemiol 2018;28(6):279–286. DOI: 10.2188/jea.JE20170001.
  12. Ahmad R, Akter F, Haque M. Editorial: Diet and nutrition for non-communicable diseases in low and middle-income countries. Front Nutr 2023;10:1179640. DOI: 10.3389/fnut.2023.1179640.
  13. WHO. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet 2004;363:157–163. DOI: 10.1016/S0140-6736(03)15268-3.
  14. Matos UR, Mesenburg MA, Victora CG. Socioeconomic inequalities in the prevalence of underweight, overweight, and obesity among women aged 20–49 in low- and middle-income countries. Int J Obes 2020;44(3):609–616. DOI: 10.1038/s41366-019-0503-0.
  15. Bamji MS, Murty PVVS, Sudhir PD. Nutritionally sensitive agriculture—An approach to reducing hidden hunger. Eur J Clin Nutr 2021;75(7):1001–1009. DOI: 10.1038/s41430-020-00760-x.
  16. Weffort VRS, Lamounier JA. Hidden hunger – A narrative review. Jornal de Pediatria 2024;100:S10–S17. DOI: 10.1016/j.jped.2023.08.009.
  17. Lowe NM. The global challenge of hidden hunger: Perspectives from the field. Proc Nutr Soc 2021;80(3):283–289. DOI: 10.1017/S0029665121000902.
  18. Verma M, Das M, Sharma P, et al. Epidemiology of overweight and obesity in Indian adults – A secondary data analysis of the National Family Health Surveys. DMSCRR 2021;15(4):102166. DOI: 10.1016/j.dsx.2021.06.003.
  19. Pengpid S, Peltzer K. Prevalence and correlates of underweight and overweight/obesity among women in India: Results from the National Family Health Survey 2015–2016. DMSO 2019;12:647–653. DOI: 10.2147/DMSO.S206855.
  20. Tanwi TS, Chakrabarty S, Hasanuzzaman S, et al. Socioeconomic correlates of overweight and obesity among ever-married urban women in Bangladesh. BMC Public Health 2019;19(1):842. DOI: 10.1186/s12889-019-7221-3.
  21. Waghmare H, Chauhan S, Sharma SK. Prevalence and determinants of nutritional status among women and children in Pakistan. BMC Public Health 2022;22(1):766. DOI: 10.1186/s12889-022-13059-2.
  22. Jang HJ, Oh H. Trends and inequalities in overall and abdominal obesity by sociodemographic factors in Korean Adults, 1998–2018. IJERPH 2021;18(8):4162. DOI: 10.3390/ijerph18084162.
  23. Luhar S, Mallinson PAC, Clarke L, et al. Trends in the socioeconomic patterning of overweight/obesity in India: A repeated cross-sectional study using nationally representative data. BMJ Open 2018;8(10):e023935. DOI: 10.1136/bmjopen-2018-023935.
  24. Najafi F, Soltani S, Karami Matin B, et al. Socioeconomic – related inequalities in overweight and obesity: Findings from the PERSIAN cohort study. BMC Public Health 2020;20(1):214. DOI: 10.1186/s12889-020-8322-8.
  25. Anekwe CV, Jarrell AR, Townsend MJ, et al. Socioeconomics of obesity. Curr Obes Rep 2020;9(3):272–279. DOI: 10.1007/s13679-020- 00398-7.
  26. Asif M, Aslam M, Altaf S, et al. Prevalence and sociodemographic factors of overweight and obesity among Pakistani Adults. JOMES 2020;29(1):58–66. DOI: 10.7570/jomes19039.
  27. Nurul-Farehah S, Rohana A. Maternal obesity and its determinants: A neglected issue? Malays Fam Physician 2020;15(2):34–42. PMID: 32843943.
  28. Sha T, Cheng G, Li C, et al. Patterns of women's postpartum weight retention and its associations with maternal obesity-related factors and parity. IJERPH 2019;16(22):4510. DOI: 10.3390/ijerph16224510.
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