ORIGINAL  
Niger J Paed 2014; 41 (1):59 – 63  
Achebe C  
Prediction of low birth weight from  
other anthropometric parameters in  
Nnewi, south eastern Nigeria  
Ugochukwu EF  
Adogu POU  
Ubajaka C  
DOI:http://dx.doi.org/10.4314/njp.v41i1,11  
Accepted: 29th September 2013  
Abstract Background: Low birth  
weight is a global problem but  
presents a major burden on the  
neonatal services in developing  
countries such as Nigeria, and  
brings to bear a greater strain on  
the meagre resources available for  
health care delivery and family  
were analysed using the Statistical  
Package for Social Sciences  
(SPSS) software. Correlation and  
linear regression analyses were  
done to examine the linear rela-  
tionship between the predictors  
and birth weight. The sensitivity,  
specificity and predictive values  
were calculated at serial cut–off  
points and the points of best dis-  
crimination determined.  
(
)
Achebe C  
Department of Family Medicine  
Ugochukwu EF,  
Department of Paediatrics,  
Adogu POU, Ubajaka C  
Department of community Medicine  
Nnamdi Azikiwe University  
Teaching Hospital Nnewi, 435101  
Anambra State, Nigeria.  
financing. In  
a
resource-  
constrained setting as ours, proper  
weighing of all newborn infants  
and medical surveillance of low  
birth weight infants, although  
highly desirable, are often not  
achieved due to unavailability of  
suitable, functional weighing  
scales. There are serial cut-off  
points for the various anthropom-  
etric indices for the normal birth  
weight babies below which any  
baby is termed low birth weight.  
This study assessed the predictive  
values of anthropometric meas-  
urements in the detection of low  
birth weight newborn babies and  
also determined the local specific  
cut-off points for these measure-  
ments in Nnewi, Southeast Nige-  
ria.  
Results: The low birth weight  
prevalence was 15.2%. Maximum  
thigh circumference attained the  
highest correlation with birth  
weight (r = 0.904), greatest coeffi-  
2
cient of determination (r =0.817),  
and least measure of dispersion  
around the actual birth weight.  
Thus maximum thigh circumfer-  
ence, which has a cut-off point of  
16.75cm, was the best predictor of  
low birth weight, with 98.5% sen-  
sitivity, 92.3% specificity and di-  
agnostic accuracy of 93.2%  
(P<0.001).  
Conclusion: Routine measure-  
ments of maximum thigh circum-  
ference in resource-poor countries  
is an effective proxy for weight at  
birth in prenatal assessments and  
epidemiologic surveys.  
Methods: This was  
a cross-  
sectional study in which length,  
occipitofrontal circumference,  
mid-arm circumference and maxi-  
mum thigh circumference of 428  
singleton babies were ascertained  
within 24 hours of delivery. Data  
Key words: anthropometric pa-  
rameters, low birth weight, new-  
born, Nigeria  
Introduction  
weight babies are born in developing countries. There is  
significant variation in low birth weight incidence across  
the main geographic regions, ranging from 6 per cent to  
18 per cent. The highest incidence of low birth weight  
occurs in the subregion of South-Central Asia, where 27  
per cent of infants are low birth weight. Overall, almost  
70 per cent of all low birth weight births occur in Asia.  
Low birth weight levels in sub-Saharan Africa are  
around 13 per cent to 15 per cent, with little variation  
across the region as a whole. Central and South America  
have, on average, much lower rates (10 per cent) while  
Low birth weight (LBW) defined as weight at birth be-  
1
low 2500g is a global problem, but developing coun-  
tries of Africa, Asia and Latin America bear the brunt of  
the clinical problems . WHO/UNICEF reported that  
2
3
1
5.5 per cent of all births, or more than 20 million in-  
fants worldwide, are born with low birth weight. The  
level of low birth weight in developing countries (16.5  
per cent) is more than double the level in developed re-  
gions (7 per cent). More than 95 per cent of low birth  
6
0
in the Caribbean, the level (14 per cent) is almost as  
high as in sub-Saharan Africa. About 10 per cent of  
births in Oceania are low birth weight. Among the more  
developed regions, North America averages 8 per cent,  
while Europe has the lowest regional average at 6 per  
of length, occipitofrontal circumference, mid-arm cir-  
cumference and maximum thigh circumference of the  
newborn babies) in detecting LBW babies and also to  
determine the local specific cut-off points for these  
measurements in Nnewi, Southeast of Nigeria.  
Subjects and methods  
3
4
cent . In Nigeria, a study in the Southwest reco5rded a  
rate of 11.4% while another from the North gave  
1
2.2%.  
The study site was Nnamdi Azikiwe University Teach-  
ing Hospital (NAUTH), Nnewi, a tertiary health institu-  
tion located in Anambra state, Southeast Nigeria. It of-  
fers maternal and child health services to people of the  
town, and constitutes a major referral centre for all hos-  
pitals in the state and indeed some neighbouring states  
in Nigeria.  
Problems associated with LBW constitute a great strain  
on the meagre resources available for health care deliv-  
ery and family financing. Identification of LBW is cru-  
cial as affected infants, either preterm or growth re-  
stricted, have higher than normal mortality in the neona-  
tal and perinatal period. Even in survivors, a high risk of  
growth retardation and of impaired mental development  
with attendant learning disabilities and attention disor-  
The study design was cross-sectional involving babies  
delivered at the maternity unit of NAUTH Nnewi, and  
the neonates admitted into the Special Care Baby Unit  
from other hospitals. Consecutive recruitment of all sin-  
gleton, live-born infants and those referred to the Special  
Care Baby Unit during the study period was carried out.  
All assessments were done within 24 hours of delivery  
of those babies after informed parental consent. Stillborn  
babies, infants with clinically evident congenital anoma-  
lies, those with oedema and asymmetry of the extremi-  
ties from any cause were excluded from the study for  
obvious reasons. Parents were given the liberty to with-  
draw at any stage of the research, however, none de-  
clined. Ethical approval for the research was given by  
the Ethics Committee of the hospital. Data was collected  
over a 6- month period from a total number of 428 ba-  
bies. Measurements taken were birth weight, maximum  
thigh circumference, length, occipitofrontal circumfer-  
ence and mid-arm circumference using standard meth-  
6
, 7  
ders affecting their performance in school abound  
LBW results from preterm and small for gestational age  
deliveries and is directly related to the anthropometric  
.
8
,9  
measurements of the new born babies .  
In developing countries, it is estimated that approxi-  
mately 60%-800%,11 of births occur outside orthodox health  
1
care facilities . Most deliveries take place either in  
private homes or in rural maternities and are attended by  
relatives, neighbours or ill-equipped attendants. This is  
probably responsible for the finding that as simple as the  
weighing procedure is, about two-thirds of newborn  
1
2
babies in Sub-Saharan Africa are not weighed at birth .  
Some primary health care centres and secondary health  
facilities may lack suitable, functional, weighing scales,  
hence the need to find alternative ways of identifying  
low birth weight babies. Anthropometric techniques like  
body length, occipitofrontal circumference, mid-arm  
circumference, maximum thigh circumference, calf cir-  
cumference and foot length require the use of measuring  
tapes and are relatively simple to perform. This confers  
on them a major advantage over the use of routine ana-  
logue weighing scales in determining LBW in infants.  
1
6
ods . All circumferences were assessed to the nearest  
0.1cm with non-stretchable plastic coated insertion type  
circumference tapes.  
Birth weight (BW): BW was assessed with a Salter  
spring scale (0-10kg), a simple to use tool with a sensi-  
tivity of 0.1kg. The balance was tested against standard  
set of weights at the onset of the study and weekly there-  
after. Babies were weighed in a warm room without  
clothing or diapers.  
Several studies have shown that some simple anthro-  
pometric measurements at birth can reliably predict birth  
weight and can be used as valid indicators of LBW  
1
3-15  
.
There are serial cut-off points for the various anthro-  
pometric parameters for normal birth weight babies,  
below which any baby is termed low birth weight. Infor-  
mation concerning the relative values of these measure-  
ments in the identification of those at risk for postnatal  
morbidity and mortality in Southeast Nige1r4i,a16is lacking.  
Occipitofrontal circumference (OFC): The head was  
measured at the largest occipitofrontal diameter with the  
tape passing above the supraorbital ridges and glabella  
anteriorly, and the occiput posteriorly.  
The World Health Organization (WHO)  
in conso-  
Length (L): Length was measured using a horizontal  
stadiometer to the nearest 0.1cm.  
8
,17,18  
have recommended that  
nance with other workers  
countries should derive their own serial cut-off points  
for determining LBW using anthropometric measure-  
ments. This stems from the observation of variations in  
values in different localities and different ethnic groups  
resulting from perceived differences in psychosocial,  
econ,8omic and demographic variables by many research-  
Mid-arm circumference (MAC): MAC was taken at  
the mid-point between the tip of the acromium and the  
olecranon process of the bare left tuispsupe6e,7r arm, gently to  
avoid compression of the soft  
snugly applied around the arm.  
the tape being  
7
ers .  
Maximum thigh circumference (MTC): This was  
measured with the infant lying supine and without a  
diaper. The tape was then placed around the  
The current study was carried out to evaluate the predic-  
tive values of alternative anthropometric measurements  
6
1
circumference of the left thigh which was a little ex-  
tended at the hip joint. The tape is placed anteriorly be-  
low and parallel to a line that runs from anterior superior  
iliac spine to the pubic symphises, through the medial  
side of the thigh to lie at the level of the lowest crease in  
the gluteal region posteriorly, with the tape1l9ying per-  
pendicular to the long axis of the lower limbs.  
weight that could be explained by difference in MTC.  
For MTC, over 95% of the data fell within two standard  
errors of the estimates of the predicted value.  
Table 3: Simple Linear Regression analysis of the anthropom-  
etric parameters of the neonates  
2
Predictor  
Variables  
R
Measure of  
dispersion  
Con-  
stant  
Unstandardized  
coefficient (95% CI)  
p-value  
(cm)  
Statistical analysis  
Length  
0.685  
0.668  
0.759  
0.817  
0.770  
0.790  
0.674  
0.586  
0.144 (0.135, 0.154)  
0.249 (0.233, 0.266)  
0.403 (0.381,0.424)  
0.246 (0.234,0.257)  
<0.001  
<0.001  
<0.001  
<0.001  
4
5
1
1
.104  
.444  
.389  
.333  
OFC  
Data were entered, validated and analysed using the  
Statistical Package for Social Sciences (SPSS) software  
version 18. Correlation and linear regression analyses  
were done to examine linear relationship between two or  
more continuous variables. For validity testing, the sen-  
sitivity, specificity, positive predictive value and nega-  
tive predictive values were calculated at serial cut-off  
points. To define the cut-off point which best discrimi-  
nates between low birth weight and normal birth weight,  
the value which yielded the highest accuracy, or percent-  
age of correct classification was determined. Also using  
the chi-square analysis and the student t test, the accu-  
racy of all the variables in identifying LBW infants were  
compared. Probability (p) value less than 0.05 was con-  
sidered statistically significant.  
MAC  
MTC  
2
R = Coefficient of determination  
L = Length  
OFC = Occipitofrontal circumference  
MAC = Mid-arm circumference  
MTC = Mid-thigh circumference  
Table 4 demonstrates that length of 48.6cm, OFC of  
4.15cm, MAC of 10.5cm and MTC of 16.75cm were  
3
the corresponding cut-off values with the best combina-  
tion of sensitivity, specificity and predictive values (p <  
0
.001) for identifying infants with birth weights of  
<
2500g. Furthermore, the table illustrates the superiority  
of MTC over other anthropometric indicators in the  
identification of LBW with 98.5% sensitivity, 92.3%  
specificity and diagnostic accuracy of 93.2% (p<0.001).  
The order of superiority of the anthropometric indicators  
was MTC > MAC > Length > OFC.  
Results  
Four hundred and twenty eight Igbo neonates were  
recruited for the study. Using the World Health Assem-  
bly cut-off value of <2500g, a total of 65(15.2%) babies  
were LBW. Table 1 shows the means, standard devia-  
tions and ranges of anthropometric variables.  
Table 4: Best cut-off points of anthropometric indicators for  
detecting neonates with birth weight less than 2500g  
Anthropom-  
etric indica-  
tors  
Cut-off  
value  
(cm)  
Sen-  
sitivit  
y (%)  
Speci  
ficity  
(%)  
Positive  
predictive  
value (%)  
Negative  
predic-  
tive value  
(%)  
Diagnos-  
tic accu-  
racy (%)  
(
cm)  
Table 1: Anthropometric data of the 428 neonates studied  
Anthropometric Parameter  
Range  
Mean ± SD  
Length  
OFC  
MAC  
MTC  
48.60  
34.15  
10.50  
16.75  
93.85  
96.92  
98.46  
98.46  
80.72  
55.10  
87.60  
92.29  
46.57  
27.88  
58.72  
69.57  
98.65  
99.01  
99.69  
99.70  
82.71  
61.45  
89.25  
93.22  
Birth Weight (kg)  
0.8 – 5.00  
3.066 ± 0.686  
Length (cm)  
Occipitofrontal circumference (cm)  
33.50 - 59.00 49.60 ± 3.93  
23.00 - 44.00 34.12 ± 2.25  
Mid-arm circumference (cm)  
Maximum thigh circumference (cm)  
6.00 - 14.00  
9.00 - 24.00  
11.06 ± 0.49  
17.89 ± 2.52  
Discussion  
Table 2 indicates that all the anthropometric variables  
had significant, linear, positive correlation with birth  
weight (p < 0.001). MTC attained the highest correla-  
tion with birth weight (r = 0.904) while OFC attained  
the lowest (r = 0.818).  
The findings in this study are in agreement with those of  
several previous studies on the reliability of different  
anthropometric measurements specifically MTC and  
MAC in the estimation of BW in a newborn population  
in Nigeria. The high prevalence rate of LBW 65(15.2%)  
found in this study though smaller 8than the 37.15% and  
Table 2: Correlation between birth weight and anthropometric  
variables of the neonates  
1
7.26% reported by Gozal et al in Cameroon and  
17  
Anthropometric  
Variables (cm)  
Pearson Correlation  
Coefficient (r)  
P-Value  
Ezeaka et al in Lagos respectively, may reflect the  
prevailing medical and demographic, environmental and  
socioeconomic conditions in Nnewi So2u0t-h22east of Nige-  
ria vis à vis the West African subregion  
Length  
0.828  
0.818  
0.871  
0.904  
<0.001  
<0.001  
<0.001  
<0.001  
Occipitofrontal circumference  
Mid-arm circumference  
Maximum thigh circumference  
The mean birth weight of 3.060 + 0.686 and a range of  
0.8 – 5kg recorded in this study is similar to the 3.02436, 2±4  
Table 3 shows that MTC had the highest coefficient of  
2
2
3
determination (r value= 0.817) while OFC (r value =  
.668) had the smallest value. This implies that MTC  
has the highest proportion (81.7%) of variation in  
656 reported by Ezeaka et al in Lagos, the WHO  
0
and some other authors for Nigerian neonates. However,  
this figure is higher than the mean birth weight ranges  
6
2
8
18  
reported for the Indian subcontinent (2.493 ± 0.477)kg  
and 2694g ± 698 reported by Gozal et al in Cameroon  
by Gozal et al in Cameroon and by Sauerborn et al in  
Burkina Faso. The values recorded for the Indian sub-  
continent are even9 significantly lower for the same rea-  
8
but lower than the mean birth weight recorded for Brit-  
ish (3650g) and North American (3300g) infants. These  
variations in mean birth weight could be explained by  
racial differences of the babies and a reflection of nutri-  
tional and economic conditions prevalent in those areas.  
1
son. Sharma et al reported a cut-off value of 14.5cm  
for MTC and 8.6cm for MAC for the Indian subconti-  
nent with a mean birth weight of 2.493 ± 0.477kg when  
compared with that of 3.066 ± 0.686kg in the present  
study. The establishment in each country and locality of  
their specific cut-off points i.e. normative data on the  
various anthropometric measurements and their14r, e16lative  
9
A study by Goldenberg et al showed that in America,  
intrinsic and extrinsic factors associated with race ac-  
count for smaller black babies and for much of the racial  
differences in birth weight.  
predictive values as recommended by WHO  
and  
1
3, 18  
seems therefore justified.  
other studies  
The mean anthropometric measurements recorded  
among the neonates in20t,h26is, 27study corroborate the find-  
ings of other authors.  
The mean MTC of 17.89  
obtained in this study is comparable to the figure of  
1
7.59cm with a m7 ean birth weight of 3.046kg reported  
Conclusion  
1
by Ezeaka et al in Lagos. However both mean MTC  
values from Nigeria are higher than 15.10cm (mean  
birth-weight 2679g) and 16.02cm (mean birth-weight  
In conclusion, measurements of application of the cut-  
off points for MTC and MAC in our locality where the  
majority of the neonates are delivered by traditional  
birth attendants who lack both the skills and scales nec-  
essary for weight determination can effectively be used  
as surrogates for LBW. Infants whose anthropometric  
measurements fall below the identified cut-off values  
should be considered as high risk for early postnatal  
diseases requiring immediate medical intervention,  
thereby, increasing their chances for survival and opti-  
mal development. This could serve as a selective crite-  
rion for either early neonatal discharge or continuing  
medical surveillance. This policy would ultimately lead  
to earlier treatment and would possibly result in a reduc-  
tion of the present unacceptably high third world infant  
mortality and morbidity rates.  
26  
2
875g) reported 7by Hugue et al  
2
in Bangladesh and  
Shahidullah et al in India respectively. The mean MAC  
value of 11.06cm recorded in this study is higher than  
the mean MAC value of 10.4cm (mean birth-weight  
3
.046cm), 10.30cm (mean BW 2.917kg) and 10.03cm  
17  
(
a
m13ean BW 2694g) reported by Ezeaka et al , Ngowi et  
8
and Gozal et al respectively.  
This study proves that a strong positive correlation ex-  
ists between birth weight and other anthropometric vari-  
ables (p<0.001). This agrees wit1h3,t1h4e results of similar  
studies done by various authors  
. The findings also  
show that MTC has the highest correlation with birth  
weight (r = 0.904) while OFC19 has the least (r=0.8182)7.  
1
7
Ezeaka et al , Sharma et al and Shahidullah et al  
showed similarly strong correlations between birth  
weight and MTC, with coefficients, r = 0.95, 0.918 and  
Author’s Contributions  
0
from this study compares favourably with correlation for  
MAC with coefficients of (r) = 0.88, 0.91, 0.811 and  
0
et al and Hugue et al respectively.  
.845 respectively. A correlation for MAC of r = 0.871  
Achebe C: Conceptual design of research; data collec-  
tion and management; paper write-up.  
Ugochukwu EF: Data management; vetting and final  
write-up of the study.  
Adogu POU : Statistical analysis and presentation.  
Ubajaka C: Data collection and collation.  
Conflict of Interest: None  
17 8  
.8428 reported by Eze2a6ka et al , Gozal et al , Bhargava  
2
The establishment of specific cut- off points for each  
anthropometric variable for each country and a given  
locality has been recommended by many authors  
Funding: None  
1
3,14,18,28  
to enable optimal identification of LBW neonates who  
are born where proper weighing is not available and  
where mortality rates are high. The present study has  
shown that length of 48.6cm, OFC of 34.2cm, MAC of  
Acknowledgements  
1
0.5cm and MTC of 16.8cm were the best cut-off points  
for identifying LBW. These values are marginally  
higher than the values of length of 47.7cm, OFC value  
of 33.6cm, MAC value o7f 9.6cm and MTC of 15.5cm  
We are grateful for the cooperation and support of the  
nursing staff of the maternity wards and the Special Care  
Baby Unit of Nnamdi Azikiwe University Teaching  
Hospital.  
1
reported by Ezeaka et al in Lagos. This could be ex-  
plained by the marginally higher mean birth weight of  
babies born in Nnewi compared to Lagos( 3.06 ± 0.686  
and 3.046 ± 0.656 respectively).  
This same reason of higher mean birth weight in this  
study will explain the higher cut-off values of 10.5cm  
for MAC than the MAC cut-off value of 9.5cm retained  
6
3
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