ORIGINAL  
Niger J Paed 2013; 40 (3) : 299 –302  
Kehinde OA  
Njokanma OF  
Olanrewaju DM  
Parental socioeconomic status and  
birth weight distribution of Nigerian  
term newborn babies  
DOI:http://dx.doi.org/10.4314/njp.v40i3,20  
Accepted: 17th March 2013  
Abstract Background: Birth  
weight is one of the most impor-  
tant determinants of perinatal well  
parents (196; 70%) were in the  
upper classes I and II, 69 (24.6%)  
were in class III while 15 (5.4%)  
were in classes IV and V. Babies  
in the socioeconomic classes IV  
and V had significantly lower  
mean birth weight than babies in  
each of classes I, II and III (p =  
0.005, 0.006 and 0.04 respec-  
tively). High maternal education  
and paternal occupation were asso-  
ciated with significantly higher  
mean birth weights (p = 0.007,  
0.018 respectively). The low birth  
weight rate was significantly  
higher in the lower social classes  
III to V compared to the two upper  
classes (10.7% vs. 3.57%;, p =  
0.022.  
(
)
Kehinde OA  
Njokanma OF  
-being and survival. It may be  
Department of Paediatrics  
Lagos State University  
College of Medicine Ikeja, Lagos  
Nigeria  
Email: honeyplus04@yahoo.com  
Tel: +234803 713 1974  
influenced by socioeconomic  
status among other factors.  
Objective: To evaluate the influ-  
ence of parental socioeconomic  
status on birth weight distribution  
of term infants  
Patients and Methods: Consecu-  
tive singleton, term newborns and  
their parents were recruited. So-  
cioeconomic status was deter-  
mined from parental education  
and occupation. Neonatal anthro-  
pometry was recorded soon after  
birth. The relationship between  
neonatal anthropometry and pa-  
rental socioeconomic status was  
evaluated.  
Olanrewaju DM  
Department of Paediatrics,  
Olabisi Onabanjo University Teaching  
Hospital, Sagamu  
Conclusion: Disadvantaged socio-  
economic status was associated  
with lower mean birth weights  
with maternal education and pater-  
nal occupation exerting the higher  
influences.  
Results: The mean birth weight of  
the 280 newborns was 3180g +  
5
5
01 with a range of 1800g to  
000g. Most babies (181; 64.7%)  
weighed between 2500g and  
3
than 2500g and 20 (7.1%) were  
small for gestational age. Most  
490g while 5.7% weighed less  
Key words: Socioeconomic  
Status, Birth weight, maternal edu-  
cation, paternal occupation  
Introduction  
level among Nigerians.  
Birth weight is important for assessing intrauterine growth1  
and a very important predictor of neonatal survival.  
Thus several factors affecting fetal growth also impact  
on neonatal survival. Some of these factors exert direct  
effects on fetal growth while the effects of other factors  
are indirect. Direct influences which are exerted include  
intrinsic fetal factors like congenital malformations and  
environmental factors like antenatal medical problems.  
One very important indirect influence is the socio-  
economic status which may affect fetal growth through  
its effects on maternal nutritional status, maternal health  
The current study therefore aims to examine the rela-  
tionship between parental socioeconomic class and in-  
fants’ birth weight among Nigerian singleton term ba-  
bies.  
Subjects and Methods  
The study was carried out at the Olabisi Onabanjo  
University Teaching Hospital (O.O.U.T.H) and the  
Medytop Specialist Hospital (M.S.H) both in Sagamu  
between July and December 2005. Sagamu is a semi-  
urban town located between Lagos and Ibadan, two  
major cities in south-western Nigeria. OOUTH is a 201-  
bed tertiary care hospital providing specialist obstetric  
and neonatal care. The average delivery rate is about  
600 a year. The Medytop Specialist Hospital (MSH) is  
a 40-bed private hospital with a bias for obstetric  
-
pregnancy. In this regard; some clinical studies have  
identif5ied maternal educational level and parental occu-  
seeking beh, 3aviour and occasionally, disease pattern in  
2
4
pation as significant determinants of birth weight.  
There however, has not been sufficient evaluation of  
effects of socio-economic factors on the birth weight  
pattern of Nigerian babies. The need for such studies is  
especially relevant in the light of increasing poverty  
3
00  
services. The average delivery rate for the hospital is  
40 per year. The two hospitals were chosen for the  
Table 1: Educational attainments and occupation of parents  
2
Mothers  
Fathers  
no  
study because they have the busiest public (OOUTH)  
and private (MSH) obstetric services in Sagamu and  
they serve patients from all socioeconomic strata of the  
community. Two hundred and eighty consecutive sin-  
gleton term, newborn babies – 167 from OOUTH and  
no  
%
%
Educational attainment  
Tertiary Education  
133  
108  
47.5  
38.6  
174  
80  
62.1  
28.6  
Senior School Certificate  
Junior School Certificate  
Primary School Certificate  
30  
8
10.7  
2.9  
20  
5
7.1  
1.8  
0.4  
1
13 from MSH – and their consenting parents were  
recruited. Data was obtained on parental educational  
attainment and occupation and these were used to deter-  
mine family’ socio-economic classes using the method  
No Formal Education  
1
0.4  
1
Occupation  
Senior civil servant/Businessman/  
Contractor  
6
recommended by Oyedeji. Stratification was from so-  
58  
20.7  
103  
36.8  
Intermediate grade civil servant/  
cioeconomic class 1 (the most advantaged class) to class  
V (the most disadvantaged). The anthropometric pa-  
rameters of the babies were also recorded using standard  
techniques. Gestational age was determined using the  
Ballard score, while appropriateness of birth weight for  
gestation was determined using the standards of  
Senior school teacher  
Junior school teacher/Driver/Artisan  
86  
62  
30.7  
22.1  
116  
51  
41.4  
18.2  
Petty trader  
Unemployed or fulltime housewife  
Total  
50  
24  
280  
17.9  
8.6  
100.0  
5
5
280  
1.8  
1.8  
100.0  
7
Lubchenco et al . Data analysis was done using Micro-  
soft Excel software enhanced by Megastat statistical  
package. The mean and standard deviation of continuous  
variables were derived. Tests of statistical significance  
included Student t-test, analysis of variance (ANOVA)  
and chi-square tests. In all analyses, probability values  
less than 0.05 were  
accepted as statistically significant.  
Results  
Two hundred and eighty (58.3%) of the 480 total deliv-  
eries were recruited into the study. These 280 babies  
comprised 142 (50.7%) males and 138 (49.3%) females  
giving a male-to-female ratio of approximately 1:1. Ges-  
tational age ranged from 37 to 42 weeks with a mean of  
3
9.34 weeks + 1.03 and birth weight ranged from 1800g  
to 5000g with a mean of 3180g + 501. Analysis of pa-  
rental educational status (Table1) revealed that most of  
the fathers (90.7%) and mothers (86.1%) had at least  
senior secondary education. Analysis of data on occupa-  
tion shows that a high proportion of the mothers (73.5%)  
and fathers (96.4%) were skilled. The distribution of the  
parents into social classes was as follows: class I (71;  
2
5.4%), class II (125; 44.6%), class III (69; 24.6%),  
class IV (13; 4.6%) and class V (2; 0.7%) respectively.  
Table 3 shows that mean birth weight was inversely  
related to socioeconomic advantage. With specific refer-  
ence to education, mothers with tertiary education had  
heavier babies than those with senior secondary and  
those with the less than senior secondary education in  
that order (3269 ± 454g Vs 3135 ± 494g Vs 3004 ±  
615g respectively: F = 5.07, p = 0.007). Similar findings  
were also recorded with respect to paternal educational  
attainment (3222 ± 449g Vs 3171 ± 506g Vs 2931 ±  
725g respectively: F = 3.91, p = 0.021).  
Table 2 shows the birth weight distribution of the babies  
in relation to parental socioeconomic classification.  
Most of the babies (181; 64.7%) weighed between  
2
500g and 3490g while 5.7% were low-birth-weight  
(
LBW). All the 16 LBW babies were also small-for-  
gestational-age (SGA). Male babies weighed signifi-  
cantly more than their female counterparts (3276g ± 504  
Vs 3080g ± 480; (z = 3.24, p = 0.012).  
Of the 22 babies with high birth weight (> 4000g), 17  
(
77.3%) were socioeconomic classes I and II. On the  
other hand, 56.3% of LBW babies were in classes III to  
V. The LBW rate in the upper social classes I and II was  
significantly lower than that of the lower social classes  
(
=
Table 4 illustrates that the maternal occupation had no  
significant impact on the mean birth weight. On the  
other hand, increasing paternal occupational status was  
associated with an increasing mean birth weight  
(p = 0.018).  
III to V) – (3.57% Vs 10.7%; Fisher exact test = 5.57, p  
0.022)  
3
01  
Table 3: Mean birth weight in relation to socioeconomic class  
access to more health information and services and be at  
less risk of pregnancy-related problems which often  
have nutritional and infectious etiology. Therefore, they  
may have the opportunity of better fetal growth com-  
pared to mothers in the lower classes who are probably  
not as highly educated. The caveat however, is that  
given the various perinatal problems 1o0 f HBW babies  
like mechanical and asphyxial injuries, it is imperative  
to closely monitor mothers in the upper socioeconomic  
classes for possible fetal macrosomia.  
Socioeconomic  
Class  
Number Mean birth  
weight ± SD g  
Z-test  
p-value  
I
II  
71  
125  
3242 ± 428  
3215 ± 487  
2.91  
2.78  
0.004  
0.005  
III  
IV/V  
69  
15  
3106 ± 529  
2750 ± 625  
2.05  
Reference group  
0.040  
F = 4.89, p = 0.003  
Social classes IV and V were combined because the latter had very  
few (2) subjects  
Z-test comparison was with Social class IV/V  
It was noted that the influence of maternal educational  
attainment was stronger than that of the father. On the  
other hand, Paternal, but not maternal occupation played  
a significant role in birth weight. The latter finding is  
Table 4: Mean birth weight in relation to parental occupation  
no  
Birth weight  
Z-  
test  
p-value  
5
similar to that obtained by Chia and Lee , in an earlier  
Maternal  
Senior civil servant/  
Businessman/Contractor  
study where babies born to unemployed fathers had a  
higher risk of being LBW. It probably underlines the  
wisdom in the use of maternal education and paternal  
occupation in the method of socioeconomic stra11tification  
designed by Olusanya, Ezimokhai and Okpere.  
58  
86  
3290 ± 446  
3126 ± 479  
1.30  
0.20  
0.19  
0.84  
Intermediate grade civil  
servant/  
Senior school teacher  
Junior school teacher/  
Driver/Artisan  
62  
3222 ± 461  
0.84  
0.25  
0.40  
0.80  
The prevalence of LBW in the study (5.7%) was re-  
markably lower than the previous prevalence of 16% in  
an earlier study carried out in this center. It was also  
lower tha3 n 12.6% reported from Enugu, southeastern  
1 14  
Nigeria, 24% from Bangladesh and 29.8% from Ne-  
15  
Petty trader  
Unemployed or fulltime  
housewife  
50  
24  
3135 ± 545  
3096 ± 672  
12  
Paternal  
Senior civil servant/  
Businessman/Contractor  
pal, South Asia. These differences may be a reflection  
of differences in patients’ selection and study designs.  
Preterms and products of multiple gestation are often  
LBW and their exclusion from this present study obvi-  
ously lowered the prevalence of LBW.  
103  
116  
3264 ± 498  
3175 ± 474  
2.79  
2.28  
1.55  
0.005  
0.023  
0.120  
Intermediate grade civil  
servant/  
Senior school teacher  
Junior school teacher/  
Driver/Artisan  
51  
8
3071 ± 544  
2794 ± 456  
The birth weight of the fetus may be a reflection of the  
parental socioeconomic status and at least to some ex-  
tent, the mother’s nutrition and health. Thus the low  
LBW rate in the two upper socioeconomic classes  
probably resulted from better maternal nutrition and  
health in pregnancy. An improvement in socioeconomic  
status was found to be responsible for higher mean birth  
Petty trader/ Unemployed  
F = 1.33, p = 0.258 (Maternal)  
F =3.42, p =0.018 (Paternal)  
Discussion  
16  
weights in babies born to mothers in Sweden. These  
mothers are also more likely to have better health seek-  
ing attitudes resulting in a better ANC attendance, lower  
incidence of pregnancy related disorders such as anae-  
mia and pregnancy induced hypertension. Better preg-  
nancy care and better nutrition during pregnancy w15ere  
identified as factors for high birth weight in Nepal. As  
part of routine antenatal care in Nigeria, expectant moth-  
ers are usually given iron supplementation. This had  
been shown to result in higher birth weights independen17t  
of other maternal nutritional factors in Zimbabwe.  
These pregnancies may thus have a better outcome. The  
finding that LBW occurred more commonly among  
mothers in the lower 1s8ocioeconomic cl1a9sses was similar  
to findings in Brazil and Botswana. In both studies,  
the prominence of LBW in the lower socioeconomic  
classes was associated with poor quality of antenatal  
care. Unfortunately, the details of antenatal care were  
not examined in the present study. Therefore, the steady  
decline in the mean birth weight with decreasing socio-  
economic status obtained in the current study is similar  
to reports obtained from US where denial of access to  
It is worthy of note that most of the mothers had at least  
secondary education, which had a significant positive  
effect on the birth weight. This is a positive report for  
the United Nations Development Goal numbers 2 and 3  
which seek universal basic education and female em-  
powerment in all fields including education. The finding  
was similar to an earlier report from Ibadan, south-  
8
4
western Nigeria and Iran In the latter study, Maddah  
and Karrandish found that the mother's educational level  
may be considered as the most important determinant of  
birth weight in that population. This finding 9was cor-  
3
roborated by Mascie-Taylor and Ebomoyi et al .  
In the light of the relatively high level of educational  
attainment, it is not surprising that a large percentage of  
the parents were skilled. This would mean that more  
financial resources are likely to be available to the fam-  
ily and consequently, an improvement in socioeconomic  
status. This may also explain the concentration of HBW  
babies in the upper classes in this study since mothers in  
those classes are likely to be more empowered, have  
3
02  
quality pregnancy care and low standard of living, in  
form of segregation and isolation was identified as a  
cause20of decreased birth weights in the studied popula-  
tion.  
food), empowerment and improved access to health ser-  
vices should be targeted at families in the lower socio-  
economic classes. This may translate to improved birth  
weight in the lower social classes. The current tempo of  
high female education should be sustained and improved  
upon.  
Conclusion  
Conflict of Interest: None  
Funding: None  
The present study has affirmed the strong relationship  
between the birth weight pattern of Nigerian babies and  
the parental socioeconomic status. The relatively  
stronger influences of maternal education and paternal  
occupation are noted. The link possibly lies in the access  
to better information and resources to support good  
health in pregnancy. Policies which will bring about an  
improvement in general conditions of living (housing,  
Acknowledgement  
I would like to acknowledge professor L Odusoga who  
graciously offered the use of his facility for this study.  
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