Risk of postneonatal mortality, hospitalisation and suboptimal breast feeding practices in low birthweight infants from rural Haryana, India: findings from a secondary data analysis

Ravi Prakash Upadhyay, Jose Carlos Martines, Sunita Taneja, Sarmila Mazumder, Rajiv Bahl, Nita Bhandari, Suresh Dalpath, Maharaj Kishan Bhan, Ravi Prakash Upadhyay, Jose Carlos Martines, Sunita Taneja, Sarmila Mazumder, Rajiv Bahl, Nita Bhandari, Suresh Dalpath, Maharaj Kishan Bhan

Abstract

Objectives: Low birth weight (LBW) is a risk factor for neonatal mortality and morbidity. It is important to examine whether this risk persists beyond neonatal period. The current secondary data analysis aimed to examine association of birth weight with mortality, hospitalisation and breast feeding practices during infancy.

Design: Data from a large randomised controlled trial of neonatal vitamin A supplementation (Neovita) trial were used. Log binomial model was applied to assess association between birth weight and mortality, hospitalisation and breast feeding practices.

Setting: Rural Haryana, North India.

Participants: Newborns recruited in the primary intervention trial that aimed to evaluate the effect of single-dose oral vitamin A supplementation on mortality in the first 6 months of life.

Results: We recruited a total of 44 984 infants, of which 10 658 (23.7%) were born LBW, that is, birth weight less than 2500 g. In the neonatal period, LBW babies had four times higher risk of mortality (relative risk (RR) 3.92; 95% CI 3.33 to 4.66) compared with normal birthweight babies. In the postneonatal period, the risk was two times higher (RR 1.92; 95% CI 1.71 to 2.15); even higher in those with birth weight <2000 g (RR 3.38; 95% CI 2.71 to 4.12). The risk of hospitalisation in the neonatal period and postneonatal period was (RR 1.86; 95% CI 1.64 to 2.11) and (RR 1.13; 95% CI 1.05 to 1.21), respectively. LBWs were at increased risk of breast feeding initiation 24 hours after birth (RR 1.64; 95% CI 1.45 to 1.81), no breast feeding at 6 months (RR 1.34; 95% CI 1.23 to 1.46) and at 12 months of age (RR 1.24; 95% CI 1.18 to 1.30).

Conclusions: LBW babies, especially those with birth weight of <2000 g, were at increased risk of mortality, hospitalisation and suboptimal breast feeding practices during entire infancy and therefore require additional care beyond the first 28 days of life.

Trial registration number: NCT01138449.

Keywords: India; breast feeding practices; care and support; extended home visitation; hospitalisation risk; infant mortality; low birth weight; postneonatal mortality.

Conflict of interest statement

Competing interests: None declared.

© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Figures

Figure 1
Figure 1
Overall flow of infants recruited in the primary trial. *Nine infants had data missing on birth weight. LBW, low birth weight; NBW, normal birth weight.
Figure 2
Figure 2
(A–D) Kaplan-Meier survival curves for mortality according to categories of birth weight for different time periods during infancy.

References

    1. Lee AC, Katz J, Blencowe H, et al. . National and regional estimates of term and preterm babies born small for gestational age in 138 low-income and middle-income countries in 2010. Lancet Glob Health 2013;1:e26–36. 10.1016/S2214-109X(13)70006-8
    1. Murray CJ, Vos T, Lozano R, et al. . Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 2012;380:2197–223. 10.1016/S0140-6736(12)61689-4
    1. Kelly YJ, Nazroo JY, McMunn A, et al. . Birthweight and behavioural problems in children: a modifiable effect? Int J Epidemiol 2001;30:88–94. 10.1093/ije/30.1.88
    1. Hviid A, Melbye M. The impact of birth weight on infectious disease hospitalization in childhood. Am J Epidemiol 2007;165:756–61. 10.1093/aje/kwk064
    1. Watkins WJ, Kotecha SJ, Kotecha S. All-cause mortality of low birthweight infants in infancy, childhood, and adolescence: population study of England and Wales. PLoS Med 2016;13:e1002018 10.1371/journal.pmed.1002018
    1. Black RE, Allen LH, Bhutta ZA, et al. . Maternal and child undernutrition: global and regional exposures and health consequences. Lancet 2008;371:243–60. 10.1016/S0140-6736(07)61690-0
    1. Katz J, Lee AC, Kozuki N, et al. . Mortality risk in preterm and small-for-gestational-age infants in low-income and middle-income countries: a pooled country analysis. Lancet 2013;382:417–25. 10.1016/S0140-6736(13)60993-9
    1. Randive B, Diwan V, De Costa A. India’s Conditional Cash Transfer Programme (the JSY) to promote institutional birth: is there an association between institutional birth proportion and maternal mortality? PLoS One 2013;8:e67452 10.1371/journal.pone.0067452
    1. Salve HR, Charlette L, Kankaria A, et al. . Improving access to institutional delivery through janani shishu suraksha karyakram: evidence from Rural Haryana, North India. Indian J Community Med 2017;42:73–6. 10.4103/0970-0218.205223
    1. International Institute for Population Sciences (IIPS) and Macro International. National Family Health Survey (NFHS-4), 2015–16: India Fact Sheet. Mumbai: IIPS. (accessed on 17 Jul 2017).
    1. Ministry of Health and Family Welfare, Government of India. Facility based newborn care operational guide. Guidelines for planning and implementation (2011). (accessed on 21 Jul 2017).
    1. Ministry of Health and Family Welfare. Home based newborn care operational guidelines. (accessed on 22 Jul 2017).
    1. Mazumder S, Taneja S, Bhatia K, et al. . Efficacy of early neonatal supplementation with vitamin A to reduce mortality in infancy in Haryana, India (Neovita): a randomised, double-blind, placebo-controlled trial. Lancet 2015;385:1333–42. 10.1016/S0140-6736(14)60891-6
    1. Bahl R, Bhandari N, Dube B, et al. . Efficacy of early neonatal vitamin A supplementation in reducing mortality during infancy in Ghana, India and Tanzania: study protocol for a randomized controlled trial. Trials 2012;13:22 10.1186/1745-6215-13-22
    1. World Health Organization. Indicators for assessing infant and young child feeding practices: Report of an expert consultation. 2008. (accessed on 23 Jul 2017).
    1. Smith ER, Hurt L, Chowdhury R, et al. . Delayed breastfeeding initiation and infant survival: A systematic review and meta-analysis. PLoS One 2017;12:e0180722 10.1371/journal.pone.0180722
    1. Lee PH. Should we adjust for a confounder if empirical and theoretical criteria yield contradictory results? A simulation study. Sci Rep 2014;4:6085 10.1038/srep06085
    1. Budtz-Jørgensen E, Keiding N, Grandjean P, et al. . Confounder selection in environmental epidemiology: assessment of health effects of prenatal mercury exposure. Ann Epidemiol 2007;17:27–35. 10.1016/j.annepidem.2006.05.007
    1. Rockhill B, Newman B, Weinberg C. Use and misuse of population attributable fractions. Am J Public Health 1998;88:15–19. 10.2105/AJPH.88.1.15
    1. Canada’s University. Attributable Risk and Population Attributable Risk (PAR) Measures. (accessed on 26 Jul 2017).
    1. Kramer MS, Kakuma R. Optimal duration of exclusive breastfeeding. Cochrane Database Syst Rev 2012;8:CD003517 10.1002/14651858.CD003517.pub2
    1. Sankar MJ, Sinha B, Chowdhury R, et al. . Optimal breastfeeding practices and infant and child mortality: a systematic review and meta-analysis. Acta Paediatr 2015;104:3–13. 10.1111/apa.13147
    1. O’Leary M, Edmond K, Floyd S, et al. . A cohort study of low birth weight and health outcomes in the first year of life, Ghana. Bull World Health Organ 2017;95:574–83. 10.2471/BLT.16.180273
    1. Upadhyay RP, Chowdhury R, Mazumder S, et al. . Immunization practices in low birth weight infants from rural Haryana, India: findings from secondary data analysis. J Glob Health 2017;7:020415 10.7189/jogh.07.020415
    1. Bhilwar M, Upadhyay RP, Yadav K, et al. . Estimating the burden of ’weighing less': A systematic review and meta-analysis of low birth-weight in India. Natl Med J India 2016;29:73–81.
    1. Office of the Registrar General and Census Commissioner, India. Annual Health Survey report: a report on core and vital health indicators (Part1). (accessed on 03 Aug 2017).
    1. Prendergast AJ, Humphrey JH. The stunting syndrome in developing countries. Paediatr Int Child Health 2014;34:250–65. 10.1179/2046905514Y.0000000158
    1. Danaei G, Andrews KG, Sudfeld CR, et al. . Risk factors for childhood stunting in 137 developing countries: a comparative risk assessment analysis at global, regional, and country levels. PLoS Med 2016;13:e1002164 10.1371/journal.pmed.1002164
    1. Christian P, Lee SE, Donahue Angel M, et al. . Risk of childhood undernutrition related to small-for-gestational age and preterm birth in low- and middle-income countries. Int J Epidemiol 2013;42:1340–55. 10.1093/ije/dyt109
    1. Sreeramareddy CT, Sathyanarayana TN, Kumar HN. Utilization of health care services for childhood morbidity and associated factors in India: a national cross-sectional household survey. PLoS One 2012;7:e51904 10.1371/journal.pone.0051904
    1. Saksena P, Ke X, Elovainio R, et al. . Health services utilization and out-of-pocket expenditure at public and private facilities in low-income countries. World Health Report (2010) Background Paper, No 20 (accessed on 08 Aug 2017).
    1. National Health Mission. Ministry of Health and Family Welfare, Government of India.

Source: PubMed

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