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Distribution and Determinants of Low Birth Weight in Developing Countries

  • Mahumud, Rashidul Alam (Health Economics and Financing Research, Health Systems and Population Studies Division, International Centre for Diarrhoeal Disease Research) ;
  • Sultana, Marufa (Health Economics and Financing Research, Health Systems and Population Studies Division, International Centre for Diarrhoeal Disease Research) ;
  • Sarker, Abdur Razzaque (Health Economics and Financing Research, Health Systems and Population Studies Division, International Centre for Diarrhoeal Disease Research)
  • Received : 2016.09.19
  • Accepted : 2016.12.19
  • Published : 2017.01.31

Abstract

Objectives: Low birth weight (LBW) is a major public health concern, especially in developing countries, and is frequently related to child morbidity and mortality. This study aimed to identify key determinants that influence the prevalence of LBW in selected developing countries. Methods: Secondary data analysis was conducted using 10 recent Demography and Health Surveys from developing countries based on the availability of the required information for the years 2010 to 2013. Associations of demographic, socioeconomic, community-based, and individual factors of the mother with LBW in infants were evaluated using multivariate logistic regression analysis. Results: The overall prevalence of LBW in the study countries was 15.9% (range, 9.0 to 35.1%). The following factors were shown to have a significant association with the risk of having an LBW infant in developing countries: maternal age of 35 to 49 years (adjusted odds ratio [aOR], 1.7; 95% confidence interval [CI], 1.2 to 3.1; p<0.01), inadequate antenatal care (ANC) (aOR, 1.7; 95% CI, 1.1 to 2.8; p<0.01), illiteracy (aOR, 1.5; 95% CI, 1.1 to 2.7; p<0.001), delayed conception (aOR, 1.8; 95% CI, 1.4 to 2.5; p<0.001), low body mass index (aOR, 1.6; 95% CI, 1.2 to 2.1; p<0.001) and being in the poorest socioeconomic stratum (aOR, 1.4; 95% CI, 1.1 to 1.8; p<0.001). Conclusions: This study demonstrated that delayed conception, advanced maternal age, and inadequate ANC visits had independent effects on the prevalence of LBW. Strategies should be implemented based on these findings with the goal of developing policy options for improving the overall maternal health status in developing countries.

Keywords

References

  1. Rezende Chrisman J, Mattos IE, Koifman RJ, Koifman S, Moraes Mello Boccolini P, Meyer A. Prevalence of very low birthweight, malformation, and low Apgar score among newborns in Brazil according to maternal urban or rural residence at birth. J Obstet Gynaecol Res 2016;42(5):496-504. https://doi.org/10.1111/jog.12946
  2. Assefa N, Berhane Y, Worku A. Wealth status, mid upper arm circumference (MUAC) and antenatal care (ANC) are determinants for low birth weight in Kersa, Ethiopia. PLoS One 2012;7(6):e39957. https://doi.org/10.1371/journal.pone.0039957
  3. Bramer GR. International statistical classification of diseases and related health problems. Tenth revision. World Health Stat Q 1988;41(1):32-36.
  4. Sachdev HP. Low birth weight in South Asia. Int J Diabetes Dev Ctries 2001;21(1):13-31.
  5. Yadav DK, Chaudhary U, Shrestha N. Risk factors associated with low birth weight. J Nepal Health Res Counc 2011;9(19):159-164.
  6. Metgud CS, Naik VA, Mallapur MD. Factors affecting birth weight of a newborn--a community based study in rural Karnataka, India. PLoS One 2012;7(7):e40040. https://doi.org/10.1371/journal.pone.0040040
  7. Lau C, Ambalavanan N, Chakraborty H, Wingate MS, Carlo WA. Extremely low birth weight and infant mortality rates in the United States. Pediatrics 2013;131(5):855-860. https://doi.org/10.1542/peds.2012-2471
  8. Nose S, Sasaki T, Saka R, Minagawa K, Okuyama H. A sutureless technique using cyanoacrylate adhesives when creating a stoma for extremely low birth weight infants. Springerplus 2016;5:189. https://doi.org/10.1186/s40064-016-1852-y
  9. Canadian Institute for Health Information. Giving birth in Canada: the costs. Ottawa: Canadian Institute for Health Information; 2006, p. 1-62.
  10. Hodek JM, von der Schulenburg JM, Mittendorf T. Measuring economic consequences of preterm birth: methodological recommendations for the evaluation of personal burden on children and their caregivers. Health Econ Rev 2011;1(1):6. https://doi.org/10.1186/2191-1991-1-6
  11. Barker DJ, Forsen T, Uutela A, Osmond C, Eriksson JG. Size at birth and resilience to effects of poor living conditions in adult life: longitudinal study. BMJ 2001;323(7324):1273-1276. https://doi.org/10.1136/bmj.323.7324.1273
  12. Martinson ML, Reichman NE. Socioeconomic inequalities in low birth weight in the United States, the United Kingdom, Canada, and Australia. Am J Public Health 2016;106(4):748-754. https://doi.org/10.2105/AJPH.2015.303007
  13. Kalanda B, Verhoeff F, le Cessie S, Brabin J. Low birth weight and fetal anaemia as risk factors for infant morbidity in rural Malawi. Malawi Med J 2009;21(2):69-74.
  14. Dasgupta A, Basu R. Determinants of low birth weight in a Block of Hooghly, West Bengal: a multivariate analysis. Int J Biol Med Res 2011;2(4):838-842.
  15. Deshpande JD, Phalke DB, Bangal VB, Peeyuusha D, Sushen B. Maternal risk factors for low birth weight neonates: a hospital based case control study in rural area of western maharashtra, India. Natl J Community Med 2011;2(3):394-398. https://doi.org/10.1038/ncomms1396
  16. Boerma JT, Weinstein KI, Rutstein SO, Sommerfelt AE. Data on birth weight in developing countries: can surveys help? Bull World Health Organ 1996;74(2):209-216.
  17. ICF International. Survey organization manual for demographic and health surveys; 2012 [cited 2016 Dec 30]. Available from: http://dhsprogram.com/pubs/pdf/DHSM10/DHS6_Survey_Org_Manual_7Dec2012_DHSM10.pdf.
  18. Channon AA, Padmadas SS, McDonald JW. Measuring birth weight in developing countries: does the method of reporting in retrospective surveys matter? Matern Child Health J 2011;15(1):12-18. https://doi.org/10.1007/s10995-009-0553-3
  19. Robles A, Goldman N. Can accurate data on birthweight be obtained from health interview surveys? Int J Epidemiol 1999;28(5):925-931. https://doi.org/10.1093/ije/28.5.925
  20. Blanc AK, Wardlaw T. Monitoring low birth weight: an evaluation of international estimates and an updated estimation procedure. Bull World Health Organ 2005;83(3):178-185.
  21. ORC Macro. DHS and World Bank use wealth index to measure socioeconomic status. DHS Dimens 2002;4(2):1-2.
  22. Hazarika I. Factors that determine the use of skilled care during delivery in India: implications for achievement of MDG-5 targets. Matern Child Health J 2011;15(8):1381-1388. https://doi.org/10.1007/s10995-010-0687-3
  23. West BT. Statistical and methodological issues in the analysis of complex sample survey data: practical guidance for trauma researchers. J Trauma Stress 2008;21(5):440-447. https://doi.org/10.1002/jts.20356
  24. Titaley CR, Dibley MJ, Agho K, Roberts CL, Hall J. Determinants of neonatal mortality in Indonesia. BMC Public Health 2008;8:232. https://doi.org/10.1186/1471-2458-8-232
  25. Hosmer DW, Lemeshow S. Applied logistic regression. 2nd ed. New York: Wiley; 2000, p. 1-383.
  26. Rutstein SO, Rojas G. Guide to DHS statistics: demographic and health surveys methodology; 2006 [cited 2017 Jan 18]. Available from: http://www.dhsprogram.com/pubs/pdf/DHSG1/Guide_to_DHS_Statistics_29Oct2012_DHSG1.pdf.
  27. Dietl A, Cupisti S, Beckmann MW, Schwab M, Zollner U. Pregnancy and obstetrical outcomes in women over 40 years of age. Geburtshilfe Frauenheilkd 2015;75(8):827-832. https://doi.org/10.1055/s-0035-1546109
  28. Isiugo-Abanihe UC, Oke OA. Maternal and environmental factors influencing infant birth weight in Ibadan, Nigeria. Afr Popul Stud 2011;25(2):250-266.
  29. Nobile CG, Raffaele G, Altomare C, Pavia M. Influence of maternal and social factors as predictors of low birth weight in Italy. BMC Public Health 2007;7:192. https://doi.org/10.1186/1471-2458-7-192
  30. Muthayya S. Maternal nutrition & low birth weight - what is really important? Indian J Med Res 2009;130(5):600-608.
  31. Khatun S, Rahman M. Socio-economic determinants of low birth weight in Bangladesh: a multivariate approach. Bangladesh Med Res Counc Bull 2008;34(3):81-86.
  32. Sebayang SK, Dibley MJ, Kelly PJ, Shankar AV, Shankar AH; SUMMIT Study Group. Determinants of low birthweight, small-for-gestational-age and preterm birth in Lombok, Indonesia: analyses of the birthweight cohort of the SUMMIT trial. Trop Med Int Health 2012;17(8):938-950. https://doi.org/10.1111/j.1365-3156.2012.03039.x
  33. Euser AM, Finken MJ, Keijzer-Veen MG, Hille ET, Wit JM, Dekker FW, et al. 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. Am J Clin Nutr 2005;81(2):480-487. https://doi.org/10.1093/ajcn.81.2.480
  34. Yazdanpanahi Z, Forouhari S, Parsanezhad ME. Prepregnancy body mass index and gestational weight gain and their association with some pregnancy outcomes. Iran Red Crescent Med J 2008;10(4):326-331.
  35. Kayode GA, Amoakoh-Coleman M, Agyepong IA, Ansah E, Grobbee DE, Klipstein-Grobusch K. Contextual risk factors for low birth weight: a multilevel analysis. PLoS One 2014;9(10):e109333. https://doi.org/10.1371/journal.pone.0109333
  36. Ronnenberg AG, Wang X, Xing H, Chen C, Chen D, Guang W, et al. Low preconception body mass index is associated with birth outcome in a prospective cohort of Chinese women. J Nutr 2003;133(11):3449-3455. https://doi.org/10.1093/jn/133.11.3449
  37. Olsen P, Vainionpaa L, Paakko E, Korkman M, Pyhtinen J, Jarvelin MR. Psychological findings in preterm children related to neurologic status and magnetic resonance imaging. Pediatrics 1998;102(2 Pt 1):329-336. https://doi.org/10.1542/peds.102.2.329
  38. Tellapragada C, Eshwara VK, Bhat P, Acharya S, Kamath A, Bhat S, et al. Risk factors for preterm birth and low birth weight among pregnant Indian women: a hospital-based prospective study. J Prev Med Public Health 2016;49(3):165-175. https://doi.org/10.3961/jpmph.16.022
  39. Raatikainen K, Heiskanen N, Heinonen S. Under-attending free antenatal care is associated with adverse pregnancy outcomes. BMC Public Health 2007;7:268. https://doi.org/10.1186/1471-2458-7-268

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