Incidence and correlates of low birth weight at a referral hospital in Northwest Ethiopia
Berihun Megabiaw Zeleke, Meseret Zelalem, Nuru Mohammed
The Pan African Medical Journal. 2012;12:4. doi:10.11604/pamj.2012.12.4.1284

Create an account  |  Sign in
Healthcare India 2017 Supplement 2 Supplement
"Better health through knowledge sharing and information dissemination "

Research

Incidence and correlates of low birth weight at a referral hospital in Northwest Ethiopia

Cite this: The Pan African Medical Journal. 2012;12:4. doi:10.11604/pamj.2012.12.4.1284

Received: 10/10/2011 - Accepted: 10/04/2012 - Published: 04/05/2012

Key words: Prevalence, Low Birth Weight, referral hospital, Ethiopia

© Berihun Megabiaw Zeleke et al. The Pan African Medical Journal - ISSN 1937-8688. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Available online at: http://www.panafrican-med-journal.com/content/article/12/4/full

Corresponding author: Berihun Megabiaw Zeleke, Department of Epidemiology and Biostatistics, College of Medicine and Health Sciences, University of Gondar, P.O.Box-1288, Gondar, Ethiopia (beredomega@gmail.com)


Incidence and correlates of low birth weight at a referral hospital in Northwest Ethiopia

 

Berihun Megabiaw Zeleke1,&, Meseret Zelalem2, Nuru Mohammed3

 

1Department of Epidemiology and Biostatistics, College of Medicine and Health Sciences, University of Gondar, Ethiopia, 2Department of Paediatrics and Child Health, College of Medicine and Health Sciences, University of Gondar, Ethiopia, 3Department of Gynaecology and Obstetrics, College of Medicine and Health Sciences, University of Gondar, Ethiopia

 

 

&Corresponding author
Berihun Megabiaw Zeleke, Department of Epidemiology and Biostatistics, College of Medicine and Health Sciences, University of Gondar, P.O.Box-1288, Gondar, Ethiopia

 

 

Background

The World Health Organization (WHO) defines Low Birth Weight (LBW) as having a weight of less than 2500 grams at birth [1]. LBW and preterm birth are major determinants of perinatal survival, infant morbidity and mortality as well as risk of developmental disabilities and illnesses throughout future lives [2,3]. Birth weight has emerged as the leading indicator of infant health and welfare and the central focus of infant health policy [4]. This is because low birth weight (LBW) infants experience severe health problems and developmental difficulties that can impose enormous costs on families in particular and societies in general [5].

 

Babies born with a LBW are more likely to have health problems and slower development from immediately after birth to later in life [2,6]. Lifelong problems include adult-onset diabetes, coronary heart disease, high blood pressure, intellectual, physical and sensory disabilities, and psychological and emotional distress [7]. LBW babies usually need extra hospital care, and there is a constant concern and uncertainty over future health outcomes. However, little attention is paid to birthweight improvement as a means of reducing child mortality [8].

 

An estimated 18 million babies worldwide are born each year with low birth weight of which about 3.1 million are in sub-Saharan Africa [1]. One of the goals of the 1990 World Summit for Children was to reduce the incidence of LBW to less than 10% by the year 2000. Despite this, LBW continues to remain a major public health problem in many sub-Saharan African countries where the incidence of LBW was estimated around 13% to 15% [2,9]. About 70% of all LBW babies are born preterm, the remaining 30% at full term [10]. LBW is associated with many socio-economic factors such as residence (urban-rural difference), education, mother’s age and occupation, birth order, the family’s income and many maternal conditions such as nutritional status, tobacco use, mother’s educational and health status [11-13].

 

Ethiopia, having an infant mortality rate of 59/1000 live births[14] has limited data on birth weight estimates as most deliveries take place at home leading to a highly biased maternal subjective inclusion of a “very small baby” in the reports [15]. Previous studies in Ethiopia reported a decline in mean birth weight and an increasing trend of LBW from 1970`s to 1990`s and 22.5% incidence of LBW among health institution deliveries in the south western part of the country [16]. Hence, this study aims to objectively assess the incidence and associated factors of LBW among neonates delivered at Gondar University referral hospital.

 

 

Methods

Study design and area

 

The institution based cross-sectional study was conducted at the University of Gondar Referral Hospital from May 1, 2010 through July 30, 2010. The study was conducted at the Maternity ward, Department of Gynecology and Obstetrics, University of Gondar Referral Hospital in Gondar town, Northwest Ethiopia.

 

The hospital is located in North Gondar Zone at about 727 kilometers Northwest of Addis Ababa (the capital city of Ethiopia). The hospital provides delivery services 24 hours a day, 7 days a week with its staff including midwives, intern doctors, eight general practitioners and three obstetricians.

 

Sampling

 

A sample size of 309 was calculated using single proportion formula assuming a 22.5% proportion of LBW (from previous study in Ethiopia [16] at a 95% confidence limit, 80% power, 5% margin of error and adding 15% as contingency for non-response. A consecutive sampling technique (including all eligible participants) was employed till the calculated sample was achieved in the three month data collection period. All live births after 28 weeks of gestation at the hospital during the study period were included in the study. Multiple deliveries and deliveries of unknown gestational ages (unknown LNMP and no ultrasound estimation) were not included in this study.

 

Data Collection

 

Data were collected by two regular time worker midwives in the delivery room. Training on the standard procedures of weight measurement and interview was provided to data collectors. Each newborn recruited was weighed only once, soon after delivery (within 2 hours). Maternal information was collected just before discharge. Birth weights and their codes were recorded together so as to provide a link to the maternal interview results.

 

Study Variables

 

The interview questionnaire consisted of three parts (maternal socio-demography, Obstetric and Gynaecologic histories and variables related to the newborn). Mothers were asked about their obstetric and gynecologic histories, morbidity experiences and other relevant information using a structured interview questionnaire.

 

Relevant data such as history of medical or obstetric illnesses and laboratory profiles were retrieved from the antenatal (ANC) follow up charts when available, otherwise self reports by the mother were taken. Each mother was asked about her last normal menstrual period (LNMP) to calculate gestational age. Efforts were made to help mothers remember their LNMP dates by associating them with traditional and local events. For mothers who failed to remember or having unknown LNMP, gestational age estimated by ultrasound during pregnancy was taken.

 

Previous history of delivery of LBW babies was only subjectively assessed from the mothers speaking of “small or very small baby”. Dietary history was grossly assessed if the woman said she had additional dietary intake during the pregnancy and whether she was given counseling about the importance and types of additional food intake during pregnancy. Pretest was done on 15 deliveries just a day before the actual data collection. Weighing scales were checked and adjusted at zero level between each measurement.

 

Data analysis

 

Data were entered and analyzed by SPSS version 16.0 statistical package for windows (SPSS Inc, Chicago). Logistic regression analyses were conducted to determine the effect of factor(s) on the outcome variable and to control possible confounders. Factors with a p-value <0.2 in the bivariate analysis were further entered into the multivariate analysis to control for potential confounders. Odds Ratio (OR) was used as a measure of association and p-values < 0.05 were taken as statistically significant.

 

Ethical approval was obtained from the Institutional Review Board of the University of Gondar. Permission to conduct this study was also obtained from the medical director`s office of the hospital. The purpose of the study was explained to the mothers and consent was obtained from them regarding their agreement to participate in the study. Names were not recorded in order to keep the identity of respondents anonymous.

 

 

Results

A total of 305 neonate/mother pairs were involved in this study with a response rate of 98.7%. About 93% of the mothers were aged 18 - 35 years, the range between 15 - 41 years with a mean and SD of 25.37±5.29 years. More than three quarters were urban dwellers. Majorities were Amhara (97.0%) ethnics, married (93.8%) and Orthodox Christians (85.2%) (Table 1).

 

Almost half of the mothers (53.4%) were primiparous. Of the multiparous (n=142) women, 107 (81.7%) delivered more than three years ago. A satisfactory number of participants (86.2%) had history of ANC follow up, of which 181 (59.1%) had at least four visits during the current pregnancy. Nearly half (46.2%) of women said they were given dietary counseling during the current pregnancy and 57.7% were taking additional nutrients during pregnancy (Table 2).

 

Of the 305 deliveries (52.1% males and 47.9% females), about 80% (n=244) were spontaneous vaginal deliveries and 16.4% (n= 50) by caesarian section and the rest 3.6% (n= 11) were assisted deliveries for example by vacuum and forceps. Two hundred fifty one (82.3%) of the mothers knew their LNMP or had it recorded on their follow up chart. For the rest 54(17.7%) the ultrasound estimate was taken from their follow up charts.

 

However, a total of 23 women failed to remember their LNMP and had no ultrasound gestational age estimates documented ,hence they were excluded from further analysis to maintain the unbiased effect of gestational age. Babies of the 23 excluded women had a mean birth weight of 2931 grams and it was not significantly different from the 305 included for further analysis (X2=1.78 & p=0.09).

 

Majority (80.1% or n=260) of newborns from those mothers who remembered their LNMP were delivered at term, 31(12.4%) post term (after 42 completed weeks of gestation) while the rest 19(7.6%) were preterm ones (delivered before 37 completed weeks of gestation). Maternal obstetric and medical illnesses during pregnancy were also assessed for association with LBW. A total of 64 women had either medical or obstetric problems during pregnancy. Of the 44 (14.4%) women with medical problems 13 had HIV/AIDS and 11 had malaria. Similarly out of the 19 (6.2%) women with obstetric related problems 6 women had pre-eclampsia and 2 had eclampsia.

 

The mean and standard deviation of the birth weights was 2972±476 grams (range 1500-4800 and median 3000 grams). Overall, 52 newborns (17.1% and 95% CI 13.3%, 21.7%) had LBW. The incidence of LBW was 61.9%, 14.3% and 9.4% among the preterm, term and post-term babies respectively.

 

Female newborns were having smaller birth weight than males (21.5% vs 12.6%) though the difference was statistically significant in the bivariate analysis only (COR=1.95, p-value=0.03). The results of multiple logistic regression analysis (Table 3) indicated a significant association between lack of ANC follow up and LBW. Mothers who had no history of ANC follow up were almost three times (AOR=2.85 & 95%CI 1.10, 7.40) as likely to deliver LBW babies when compared to those who had at least one ANC follow up. Additionally, the number of ANC visits was also one of the factors (AOR=.78 & 95%CI; .61, .99). For each ANC visit, there was a 21% reduction in the risk of delivering a LBW baby.

 

There was a statistically significant difference in the birth weights between primiparous (AOR= 5.68& 95%CI2.20,14.66) and multiparous mothers. Five of the eight (62.5%) mothers with pre-eclampsia/eclampsia delivered LBW babies. However, owing to the small number of the outcome of interest in each disease category, associations were not tested. More than half (53.8%) of the HIV positive mothers delivered LBW babies. HIV positive mothers had a fivefold increased likelihood of delivering LBW babies (AOR=5.18 & 95%CI 2.32,20.43) when compared to HIV negative mothers . In the multivariate analysis factors such as maternal age, residence and sex of the newborn were not significantly associated with LBW (Table 3).

 

 

Discussion

The incidence of LBW in this study (17.1%) is within the range of the country`s 2005 DHS values of LBW by measurement (14.6%) and by maternal reports of “very small or small” babies (21.5%) [15]. It is comparable to the average estimate of 16.5% LBW rate for many sub-Saharan countries [2]. But this study was conducted in a tertiary hospital. This result is lower than some other institution based studies in south western Ethiopia (22.5%) and India (24.5%) [16-17].This difference may be explained by the time gap between these studies and seasons of the year as birth weight may have seasonal variations [18].

 

However, this study found out a higher prevalence of LBW compared to other hospital based studies in other countries which reported a LBW incidence ranging between 9.0% and 11.8% like Iran, Turkey, Pakistan, Nigeria, Gambia and Ethiopia [8,10,12,19,20].

 

In the analysis of associated factors absence or infrequent ANC follow up, first delivery, premature delivery and being HIV positive were independently and significantly associated with LBW. The odds of no ANC follow up among mothers who delivered LBW babies is about 3 times higher than those who had normal weight babies. This may be ascribed to the routine provisions of nutritional and medical advice or care and supplementations offered during ANC visits.

 

Factors that are associated with LBW such as first time delivery, lack of ANC follow up and being HIV positive were similar to other studies so far reported in Ethiopia [12,16,18] and other sub-Saharan African countries[10,13,21]. Diseases like malaria, HIV/AIDS and other febrile illnesses cause retarded intra-uterine growth and subsequently lower weight at birth [22]. If the woman does not have ANC follow up illnesses may go undetected and cause more adverse effects on fetal growth.

 

In the bivariate analysis, maternal age less than 20 years and being female neonate were associated with LBW. However, unlike other studies [18,19], the association was not significant in the multivariate analysis. This may be due to the interaction effect of parity and age in addition to the low number of LBW cases in the last maternal age category.

 

The fact that other potential factors considered in this study such as maternal education, marital status, ethnicity, occupation and mode of delivery failed to be associated with LBW can be due to the similar nature of mothers included in the study with majority being illiterate, belonging to one religious or ethnic group.

 

This study clearly shares the limitations of cross-sectional studies and hence does not show seasonal variations of LBW. Additionally, being a referral hospital the study area can hardly be restricted to Gondar town. This study did not consider some potential risk factors for LBW such as placental factors, congenital syndromes and intra uterine infections.

 

 

Conclusion

In this study, there is a high incidence of LBW, compared to similar hospital based studies in sub-Saharan African. LBW was associated with lack of or infrequent ANC follow up, first delivery and maternal HIV/AIDS. In general, LBW is still a public health problem, so it is essential to provide the necessary facilities for prenatal health care. At the same time, it is necessary to screen pregnant mothers for the important risk factors of LBW such maternal HIV/AIDS and other medical/obstetric problems to provide them with essential prenatal health care services. Efforts to enhance national ANC utilization should be encouraged.

 

For further research on LBW in this country, it is recommended that other factors be considered, such as home delivery, maternal anthropometry and seasonal variations.

 

 

Competing interests

The authors declare that they have no competing interests.

 

 

Authors’ contributions

BMZ wrote the proposal, participated in data collection, analyzed the data and drafted the paper. MZ and NM approved the proposal with some revisions, participated in data collection and analysis. All authors read and approved the final manuscript.

 

 

Acknowledgements

We thank to our study participants who volunteered and took their time to give us all the relevant information for the study and the data collectors whose invaluable effort was crucial to get relevant data.

 

 

Tables

Table 1: Socio-demographic characteristics of study participants at Gondar University referral Hospital, Northwest Ethiopia, July 2010

Table 2: Medical and obstetric history of study participants at Gondar University referral Hospital, Northwest Ethiopia, July 2010

Table 3: Factors associated with LBW, result from logistic regression analyses

 

 

References

  1. UNICEF. Low Birth Weight. 2001. Available from: .

  2. WHO, ed. Low Birth Weight, Country, Regional and Global estimates. WHO, Dept. of Reproductive Health Research. 2004: New York.

  3. Conde-Agudelo A, JM Beliza'n, and JL Di'az-Rossello. Epidemiology of fetal death in Latin America. Acta Obstet Gynecol Scand. 2000 May;79(5):371-8. This article on PubMed

  4. Badshah S, Mason L, McKelvie K, Payne R, Lisboa PJ. Risk factors for low birth weight in the public hospitals at Peshawar, NWFP-Pakistan. BMC Public Health. 2008 Jun 4;8:197. This article on PubMed

  5. Almond D, KY Chay, and DS Lee. Effects of Low Birth Weight on the community. Quarterly Journal of Economics. 2005 August;1031-1083

  6. Matsuo H. The health consequences of low birth weight: literature review and critique. 2005, Institut de démographie. Paper No. 13.

  7. New Jersey Coalition for Prevention of Developmental Disabilities. Addressing Low Birth Weight Infants. Available from: http://www.expectantmothersguide.com/library/newjersey/lowbirthweight.htm.

  8. Shrimpton R. Preventing low birthweight and reduction of child mortality. Trans R Soc Trop Med Hyg. 2003; 97(1): 39-42. This article on PubMed

  9. 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):209-16. This article on PubMed

  10. Ezugwu E, et al. Singleton Low Birth Weight Babies At A Tertiary Hospital In Enugu, South East Nigeria. The Internet Journal of Gynecology and Obstetrics. 2010; 14 (1)

  11. Viengsakhone L, Yoshida Y, Harun-Or-Rashid M, Sakamoto J. Factors affecting low birth weight at four central hospitals in vientiane, Lao PDR. Nagoya J Med Sci. 2010 Feb;72(1-2):51-8. This article on PubMed

  12. Gebremariam A. Factors predisposing to low birth weight in Jimma Hospital, South Western Ethiopia. East African Medical Journal. 2005; 82(11): 554-558. This article on PubMed

  13. Siza JE. Risk factors associated with low birth weight of neonates among pregnant women attending a referral hospital in northern Tanzania.Tanzan J Health Res. 2008 Jan;10(1):1-8. This article on PubMed

  14. The 2011 Ethiopian Demographic and Health Survey (EDHS) Preliminary Report. September 2011, Ethiopian Central Statistical Agency: Addis Ababa, Ethiopia. p. 13

  15. The 2005 Ethiopian Demographic and Health Survey (EDHS) Report. September 2006, Ethiopian Central Statistical Agency: Addis Ababa, Ethiopia. p. 128-129

  16. Tema T. Prevalence and determinants of LBW in Jimma zone, Southwest Ethiopia. East African Medical Journal. 2006; 83 (7):366-371. This article on PubMed

  17. Ashtekar SV, Kulkarni MB, Sadavarte VS, Ashtekar RS. Analysis of birth weights of a rural hospital. Indian J Community Med. 2010; 35(2):252-5. This article on PubMed

  18. Enquoselassie F and Minyilshewa A. Changes in birth-weight of Hospital-delivered neonates in Addis Ababa. Ethiop J Health Dev. 2000; 14(2):169-176

  19. Roudbari M, Yaghmaei M, and Soheili M. Prevalence and risk factors of LBW infants in Zahedan, Islamic Republic of Iran.East Mediterr Health J. 2007 Jul-Aug;13(4):838-45. This article on PubMed

  20. Altuncu E, et al. The incidence of low birth weight in 5000 live born infants and the etiology of fetal risk factors. Marmara Medical Journal. 2006; 19(2): 46-51

  21. Jammeh A, Sundby J, and Vangen S. Maternal and obstetric risk factors for low birth weight and preterm birth in rural Gambia: a hospital-based study of 1579 deliveries. Open Journal of Obstetrics and Gynecology. 2010; 1:94-103

  22. Aribodor DN, Nwaorgu OC, Eneanya CI, et al. Association of low birth weight and placental malarial infection in Nigeria. J Infect Dev Ctries. 2009; 3(8):620-3. This article on PubMed

 

 

 

 

 

 

 

 

 

 

 

 


The Pan African Medical Journal articles are archived on Pubmed Central. Access PAMJ archives on PMC here

Volume 28 (September - December 2017)

Article tools

Rate this article

Altmetric

PAMJ is a member of the Committee on Publication Ethics
Next abstract

PAMJ is published in collaboration with the African Field Epidemiology Network (AFENET)
Currently tracked by: DOAJ, AIM, Google Scholar, AJOL, EBSCO, Scopus, Embase, IC, HINARI, Global Health, PubMed Central, PubMed/Medline, Ulrichsweb, More to come . Member of COPE.

ISSN: 1937-8688. © 2017 - Pan African Medical Journal. All rights reserved