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Prevalence and Associated Determinants of Low Birth Weight in Developing Countries: A Multi-country Analysis from Nationwide Population-Based Survey

  • Rashidul Alam MahumudEmail author
  • Abdur Razzaque Sarker
  • Marufa Sultana
  • Md. Nurul Islam
  • Md. Ripter Hossain
  • Md. Golam Hossain
Chapter
Part of the India Studies in Business and Economics book series (ISBE)

Abstract

Low birth weight (LBW) is a major public health concern especially in developing countries which frequently is related to child morbidity and mortality. This study aimed to identify key determinants that influence the prevalence of LBW babies in 10 selected developing countries. We conducted a secondary data analyses from the recent Demography and Health Surveys (DHS) in 10 selected developing countries. Only numerical type of birth weight data were considered for the analyses. We performed multivariate logistic regression analysis to present the unadjusted and adjusted odds ratio (OR) and 95% confidence interval (CI). We find that the overall prevalence of LBW in the study countries was 15.9% with a range of 9.0–35.1%. Results of the study demonstrated that maternal age of 35–49 years (OR = 1.66, 95% CI: 0.45–1.96), antenatal care (OR = 1.75; 95% CI: 1.08–2.82), illiteracy (OR = 1.54;0.39–1.74), later conception (OR = 1.88; 95% CI: 1.40–2.53), underweight (OR = 1.59; 95% CI: 1.21–2.09) and wealth status (OR = 1.15, 95% CI: 0.93–1.41) were significantly associated with prevalence of low birth weight. This study identified a number of determinants that have a direct influence on the prevalence of low birth weight. Strategies should be taken to improve the overall maternal health status, and thus to reduce further adverse health sequence progression. Efforts on community-based intervention programs will likely reduce the occurrence of LBW infants.

Keywords

Low birth weight Determinant Developing countries Multivariate analysis 

Notes

Acknowledgements

The International Centre for Diarrheal Disease Research of Bangladesh (icddr’b) is thankful to the Governments of Australia, Bangladesh, Canada, Sweden, and the UK for providing core/unrestricted support.

References

  1. Agho, K. E., Dibley, M. J., Odiase, J. I., & Ogbonmwan, S. M. (2011). Determinants of exclusive breastfeeding in Nigeria. BMC Pregnancy Childbirth, 11, 2–16.CrossRefGoogle Scholar
  2. Assefa, N., Berhane, Y., & Worku, A. (2012). Wealth status, mid upper arm circumference (MUAC) and ante natal care (ANC) are determinants for low birth weight in Kersa, Ethiopia. PLoS One, 7, e40090.CrossRefGoogle Scholar
  3. Brämer, G. R. (1988). International statistical classification of diseases and related health Problems, Tenth revision. World Health Statistics Quarterly, 41, 32–36.Google Scholar
  4. Barker, D. J. P., Uutela, A., Osmond, C., & Eriksson, J. G. (2001). Size at birth and resilience to effects of poor living conditions in adult life: Longitudinal study. BMJ, 323(7324), 1273–1276.CrossRefGoogle Scholar
  5. Central Statistical Agency (CSA) [Ethiopia] and ICF. (2005). Ethiopia Demographic and Health Survey 2005: Key Indicators Report. Addis Ababa, Ethiopia, and Rockville, Maryland, USA. CSA and ICF.  Google Scholar
  6. [Internet]. Health San Francisco. (2006). Central Statistical Agency and ORC Macro; p. 446. Available http://www.measuredhs.com/pubs/pdf/FR179/FR179[23June2011].pdf.
  7. Chase, H. C. (1960). Infant mortality and weight at birth, 59, 23–56. Retrieved from http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1226678/pdf/amjphnation00051-0052.pdf.
  8. Dey, A. C., Ahmed, F. U., Mannan, A., Saha, L., Barua, C., & Mahmood, C. B. (1983). Small for gestational age babies: Morbidity and immediate outcome in a tertiary care hospital—A prospective study, Bangladesh. Journal of Child Health, 38(3), 1–7.Google Scholar
  9. Deshpande, J. D., Phalke, D. B., Bangal, V. B., Peeyuusha, D., & Bhatt, S. (2011). Maternal risk factors for low birth weight neonates: A hospital based case-control study in rural area of western Maharashtra, India. National Journal of Community Medicine, 2, 394–398.Google Scholar
  10. Eriksson, J. G., Forsén, T., Tuomilehto, J., Winter, P. D., Osmond, C., & Barker, D. J. P. (1999). Catch-up growth in childhood and death from coronary heart disease : Longitudinal study. BMJ, 318(7181), 427–431.Google Scholar
  11. Euser, A. M., Finken, M. J. J., Keijzer-veen, M. G., Hille, E. T. M., Wit, J. M., & Dekker, F. W. (2005). Associations between prenatal and infancy weight gain and BMI, fat mass, and fat distribution in young adulthood : A prospective cohort study in males and females born very preterm. American Journal of Clinical Nutrition, 1–3, 480–487.Google Scholar
  12. Forrester, T. E., Wilks, R. J., Bennett, F. I., Simeon, D., Osmond, C., Allen, M., et al. (1996). Fetal growth and cardiovascular risk factors in Jamaican school children. BMJ, 312, 156–160.CrossRefGoogle Scholar
  13. Giving Birth in Canada (GBC): The cost. (2006). Canadian Institute for Health Information. Available from https://secure.cihi.ca/free_products/Costs_Report_06_Eng.pdf.
  14. Hazarika, I. (2011). Factors that determine the use of skilled care during delivery in India: Implications for achievement of MDG-5 targets. Maternal and Child Health Journal, 15, 1381–1388.CrossRefGoogle Scholar
  15. Isiugo-abanihe, U. C. (2011). Maternal and environmental factors influencing infant birth weight in Ibadan, Nigeria. African Population Studies, 25, 45–62.CrossRefGoogle Scholar
  16. Kayode, G., Amoakoh-Coleman, M., Agyepong, I. A., Ansah, E., Grobbee, D. E., & Klipstein-Grobusch, K. (2014). Contextual risk factors for low birth weight: A multilevel analysis. PLoS ONE, 9, e109333.CrossRefGoogle Scholar
  17. Khanal, V., Adhikari, M., Sauer, K., & Zhao, Y. (2013). Factors associated with the introduction of prelacteal feeds in Nepal: Findings from the Nepal Demographic and Health Survey 2011. International Breastfeeding Journal, 8, 9–15.CrossRefGoogle Scholar
  18. Khatun, S., & Rahman, M. (2009). Socio-economic determinants of low birth weight in Bangladesh: A multivariate approach. Bangladesh Medical Research Council Bulletin, 34, 81–86.CrossRefGoogle Scholar
  19. Kramer, M. S. (1987). Determinants of low birth weight: Methodological assessment and meta-analysis. Bulletin of the World Health Organization, 65, 663–737.Google Scholar
  20. Leon, D. A., Lithell, H. O., Vågerö, D., Koupilová, I., Mohsen, R., Berglund, L., Lithell, U., & Mckeigue, P. M. (1998). Reduced fetal growth rate and increased risk of death from ischaemic heart disease : Cohort study of 15 000 Swedish men and women born 1915–29. BMJ, 317(7153), 241–245.Google Scholar
  21. Leger, J., Levy-Marchal, C., Bloch, J., Pinet, A., Chevenne, D., Porquet, D., et al. (1997). Reduced final height and indications for insulin resistance in 20 year olds born small for gestational age: Regional cohort study. BMJ, 315, 341–347.CrossRefGoogle Scholar
  22. McCormick, M. C. (1985). The contribution of low birth weight to infant mortality and childhood morbidity. The New England Journal of Medicine, 312, 82–90.CrossRefGoogle Scholar
  23. MEASURE DHS. (2012). DHS model questionnaires. Calverton: ICF International. Available from http://www.measuredhs.com/What-We-Do/Questionnaires.cfm. Accessed 21 Jan 2015.
  24. Metgud, C. S., Naik, V., & Mallapur, M. D. (2012). Factors affecting birth weight of a newborn—A community based study in rural Karnataka, India. PLoS One, 7, e40040.CrossRefGoogle Scholar
  25. Muthayya, S. (2009). Maternal nutrition & low birth weight—What is really important? Indian Journal of Medical Research, 130(5), 600–608.Google Scholar
  26. Nahar, N., Afroza, S., & Hossain, M. (1998). Incidence of low birth weight in three selected communities of Bangladesh. Bangladesh Medical Research Council Bulletin, 24, 49–54.Google Scholar
  27. Nobile, C. G., Raffaele, G., Altomare, C., & Pavia, M. (2007). Influence of maternal and social factors as predictors of low birth weight in Italy. BMC Public Health, 7, 192–199.CrossRefGoogle Scholar
  28. Olsén, P., Vainionpää, L., Pääkkö, E., Korkman, M., Pyhtinen, J., & Järvelin, M. R. (1998). Psychological findings in preterm children related to neurologic status and magnetic resonance imaging. Pediatrics, 102, 329–336.Google Scholar
  29. Park, K. (2007). Park’s text book of preventive and social medicine, 426–428. Retrieved from http://www.amazon.in/Park-Textbook-Preventive-Social-Medicine/dp/9382219056.
  30. Richards, M., Hardy, R., Kuh, D., & Wadsworth, M. E. (2001). Birth weight and cognitive function in the British 1946 birth cohort: Longitudinal population based study. BMJ, 322, 199–203.Google Scholar
  31. Ronnenberg, A. G., Wang, X., Xing, H., Chen, C., Chen, D., Guang, W., et al. (2003). Community and international nutrition low preconception body mass index is associated with birth outcome in a prospective cohort of chinese women. Journal of Nutrition, 133(11), 3449–3455.Google Scholar
  32. Rutstein, S. G. (2012). Guide to DHS Statistics. In Book Guide to DHS Statistics. Calverton: Elsevier.Google Scholar
  33. Rutstein, S. O., Rojas, G. (2006). Guide to DHS Statistics.  Demographic and Health Surveys ORC Macro Calverton: Maryland.Google Scholar
  34. Sachdev, H. P. S. (2001). Low birth weight in South Asia. International Journal of Diabetes, 21, 13–31.Google Scholar
  35. Saugstad, L. F. (1981). Weight of all births and infant mortality. The Journal of pidemiology and Community Health, 35, 185–191.CrossRefGoogle Scholar
  36. Schothorst, P. F., & Engeland, V. H. (1996). Long-term behavioral sequelae of prematurity. Journal of the American Academy of Child and Adolescent Psychiatry, 35, 175–183.CrossRefGoogle Scholar
  37. Sebayang, S. K., Dibley, M. J., Kelly, P. J., Shankar, A. V., & Shankar, A. H. (2012). Determinants of low birthweight, small-for-gestational-age and preterm birth in Lombok, Indonesia: Analyses of the birthweight cohort of the SUMMIT trial. Tropical Medicine and International Health, 17, 938–950.Google Scholar
  38. Sorensen, H. T., Sabroe, S., Olsen, J., Rothman, K. J., Gillman, M. W., & Fischer, P. (1997). Birth weight and cognitive function in young adult life: Historical cohort study. British Medical Journal, 197, 401–403.CrossRefGoogle Scholar
  39. Titaley, C. R., Dibley, M. J., Agho, K., Roberts, C. L., & Hall, J. (2008). Determinants of neonatal mortality in Indonesia. BMC Public Health, 8, 232.CrossRefGoogle Scholar
  40. West, B. T., & Arbor, A. (2008). Statistical and methodological issues in the analysis of complex sample survey data : Practical guidance for Trauma researchers. Journal of Traumatic Stress, 21, 440–447.Google Scholar
  41. Yazdanpanahi, Z., Forouhari, S., & Parsanezhad, M. E. (2008). Prepregnancy body mass index and gestational weight gain and their association with some pregnancy outcomes. Iranian Red Crescent Medical Journal, 10, 326–331.Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Rashidul Alam Mahumud
    • 1
    Email author
  • Abdur Razzaque Sarker
    • 1
  • Marufa Sultana
    • 1
  • Md. Nurul Islam
    • 2
  • Md. Ripter Hossain
    • 2
  • Md. Golam Hossain
    • 2
  1. 1.Health Economics and Financing Research, Health Systems and Population Studies DivisionInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b)DhakaBangladesh
  2. 2.Department of Statistics, Health Research GroupUniversity of RajshahiRajshahiBangladesh

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