ORIGINAL  
Niger J Paed 2015; 42 (2): 137 –141  
Jaja T  
Yarhere IE  
Risk factors for type 2 diabetes  
mellitus in adolescents secondary  
school students in Port Harcourt,  
Nigeria  
DOI:http://dx.doi.org/10.4314/njp.v42i2.13  
Accepted: 11th February 2015  
Abstract: Background: The  
prevalence of Type 2 diabetes  
mellitus (T2 DM) in children and  
adolescents is on the increase,  
therefore, prevention and early  
detection are important.  
tion criteria for identification of  
those at risk for T2DM, 21(2.4%)  
were identified. The frequency of  
presence of risk factors was more  
in females (3.3%), mid adolescent  
age group (3.1%) and those with  
positive family history of diabetes.  
These findings were however not  
statistically significant. There was  
a statistically significant associa-  
tion between presence of hyperten-  
sion and impaired fasting glucose  
and risk factor for type 2 DM.  
Conclusion: The significant risk  
factors identified in this study  
were prehypertension/hypertension  
and impaired fasting blood glu-  
cose.  
(
)
Jaja T  
Yarhere IE  
Department of Paediatrics,  
University of Port Harcourt Teaching  
Hospital. Rivers State, Nigeria  
Email: Tamunopriyej@yahoo.com  
Objective: To assess for easily  
identifiable risk factors  
(
overweight/obesity, hyperten-  
sion, Impaired Fasting Glucose  
IFG) and family history of diabe-  
(
tes) for T2DM in adolescents in  
public secondary schools  
Result: Eight hundred and eighty  
adolescents aged 10 to 19 years  
were screened and 124(14.1%)  
were overweight/obese. 457  
(
51.9%) of students had none of  
the risk factors while 272(30.9%)  
had at least one risk factor. Using  
the American Diabetes Associa-  
Key words: Adolescence, Risk  
factors, Type 2 diabetes mellitus  
Introduction  
light of increasing morbidity and mortality associated  
with Type 2 DM in children , the American Diabetes  
9
In the past, type 2 diabetes mellitus was considered as a  
disease of adults . However, in the last decade, a world-  
Association (ADA) developed guidelines to identify  
children that are at risk and will require screening.  
Based on these guidelines, children who are overweight  
or obese and have any two of the following factors:  
family history of type 2 DM, ethnic minority and signs  
of insulin resistance or associated conditions  
(hypertension, acanthosis nigricans, features of polycys-  
tic ovarian syndrome, hypercholeste10rolemia, and predia-  
betes) should be referred for testing  
1
wide increase in prevalence of type 22 diabetes in both  
adults and children has been reported . The rise in the  
incidence of type2 DM has mirrored the rise in preva-  
lence of obesity in both developed and developing coun-  
tries and this is attributed to a more sedentary lifestyle  
3
and high consumption of refined foods . In a report by  
The World Health Organization in 2003 in Geneva on  
screening for type 2 DM, it predicted that there will be  
at least 350million people in the world with type 2 DM  
Type 2 DM is associated with chronic complications  
such as micro vascular damage with end stage kidney  
failure, blindness, and amputation which has huge finan-  
cial cost. Early detection, prompt and adequate manage-  
ment can prevent and halt progression of these compli-  
cations. Studies on type 2 DM and risk factors for type 2  
DM in African children are scarce. The aim of this study  
is to report the prevalence of some easily identifiable  
risk factors of type 2 DM amongst secondary school  
students aged 10 to 19 years in Port Harcourt, Nigeria.  
4
by the year 2030 .  
There is paucity of information on the epidemiology of  
type 2 DM in children in Nigeria. However, studies  
mainly from America has shown that in children type 2  
DM represents 8 to 45% of new cases and is commonly  
diagnosed between the ages of 12 and 16 years 5a,n6 d in  
those with positive family history of Type 2 DM. The  
cause of type 2DM is multifactorial and include behav-  
ioral, social and environmental factors which unmask an  
7
underlying genetic susceptibility .  
The susceptibility and risk factors for type 2 DM in chil-  
dren has been fueled by the epidemic of obesity which is  
8
now spreading even to the developing countries . In the  
1
38  
th  
12  
Methodology  
95 percentile). Blood pressure percentiles based on  
age and sex was also determined and classified into pre-  
th  
th  
This report is based on a cross sectional study of secon-  
dary school students in Port Harcourt. It is part of an  
ongoing study on prediabetes in secondary schools in  
Port Harcourt Local Government Area (LGA) of Rivers  
State, Nigeria. It was carried out in 6 public secondary  
schools over eight weeks, March to May, 2013.  
hypertension (BP90 to <95 Percentile), hypertenthsion  
th  
( 95 percentile) and normal blood pressure (< 90  
1
3
percentile). Prehypertension and hypertension were  
combined and analysed as hypertension.  
Fasting blood glucose level of each of the participants  
was determined following 8 to 10 hours overnight fast-  
ing instruction, using the Accu-chek Active Roche Diag-  
nostics glucometer. Results were classified based on the  
ISPAD criteria into normal, impaired fasting glucose  
and diabetic range glucose level. Impaired fasting glu-  
cose (IFG) is defined by the ISPAD as fasting blood  
glucose of 5.6 -6.9mmol/l (100 -125mg/dl). Accuracy  
of the glucometers was checked each morning using the  
Accu-chek control solutions.  
Port Harcourt is the capital of Rivers State, a major in-  
dustrial area of the Niger Delta region of Nigeria with a  
huge oil exploration and urbanization. Rivers State has  
an estimated population of 5.3million, using the 2006  
1
1
census . The PH LGA is one of the largest local Gov-  
ernment Areas in the State.  
1
4
Ethical approval was obtained from the Ethics Commit-  
tee of the University of Port Harcourt Teaching Hospi-  
tal. Permission was obtained from the Rivers State  
Ministry of Education and the head teachers of schools  
selected. Assent and consent were also obtained from  
students and parents, respectively.  
Determination of risk factor for type 2 diabetes is as  
described by the American Diabetes Association  
1
0
(ADA). According to the ADA, children who are over-  
weight or obese and have any two of the following fac-  
tors: family history of type 2 DM, ethnic minority and  
signs of insulin resistance or associated conditions  
(hypertension, acanthosis nigricans, features of polycys-  
tic ovarian syndrome, hypercholesterolemia, Prediabe-  
Students aged 10 to 19 years were selected from six  
public secondary schools in the Port Harcourt LGA,  
using a multistage sampling from a list of 67 schools  
categorized into three districts provided by the Rivers  
state Ministry of Education a total of six public schools  
with two each from each district were selected. Using a  
prevalence of 50% due to the various risk factors consid-  
ered, a minimum sample size of 1180 was recruited  
from the three districts in a simple proportion for which  
a total of 880 students met inclusion criteria and were  
analyzed. We assessed four risk factors namely over-  
weight/obesity, impaired fasting blood glucose (IFG),  
hypertension and family history of diabetes. Plasma  
cholesterol and triglyceride levels and evidence of poly-  
cystic ovarian syndrome in girls were not assessed for  
due to financial constraints.  
1
0
tes) should be referred for testing .  
All data were entered into an excel sheet and analyzed  
using SPSS version 17. Results were presented in cross  
tabulations and frequency tables. The age, sex, family  
history of DM, hypertension and fasting blood glucose  
status of adolescents at risk were compared with those  
of their counterparts who are not at risk. Significance  
level was determined by Pearson Chi square test and  
Level of statistical significance was considered at P  
value <0.05.  
Data collection was carried out by the investigators and  
trained field assistants who are medical officers of the  
University Teaching Hospital.  
Result  
Of the 880 participants, 577(65.6%) were females. The  
mean age of students studied was 15.01± 2.1 years.  
There was no statistically significant difference between  
the mean age of males (15.69±2.3) and mean age of fe-  
males (14.65± 2.6). As shown in Table 1, 47.5% of the  
participants were in the mid adolescent age group 13 to  
15.9years. Overall 124(14.1%) of ththe students were  
overweight and obese with BMI 85 percentile. The  
highest prevalence of overweight was found among in-  
dividuals with the following characteristics: females  
17.7%, age between 13 and 15.9years 16.5%, IFG  
21.1%, hypertension 22.8% and positive family history  
of DM 18.2%. Among the participants, 99(11.2%) re-  
ported positive family history of diabetes mellitus, 219  
A pretested self-administered questionnaire was used to  
obtain information on bio data, medical and family his-  
tory of diabetes mellitus for recruited students. Standing  
height was measured to the nearest 0.1cm using a wall  
mounted stadiometer calibrated up to two meters.  
Weight in Kg to the nearest 0.1Kg without shoes was  
taken by an electronic weighing scale (Seca Alpha  
Model 777). The scale was calibrated weekly and  
checked for zero adjustment after each reading. Each  
anthropometry was assigned specifically to two mem-  
bers of the trained staff for uniformity and to avoid inter  
observer errors. The fasting blood glucose levels of the  
participants were determined.  
(
24.9%) had prehypertension and hypertension and 152  
The Body Mass Index (BMI) of each of the participant  
was computed from the height and weight. Individual  
BMI percentiles was determined for each subject based  
on age and sex and categorized into underweight (BMI  
(17.3%) had IFG.  
Table 2 shows the distribution of risk factors among the  
participants. Overall, about half 457(51.9%) of partici-  
pants did not have any of the risks factor. Two (0.2%)  
participants had all four risk factors that were assessed.  
th th  
5 percentile), normal weight (BMI> 5 percentile but  
th th  
<
less than 85 percentile), overweight (BMI85 per-  
th  
centile but less than 95 percentile) and obesity (BMI ≥  
1
39  
Based on the ADA guideline, 21(2.4%) of the students  
Table 3: Gender, Age, Blood pressure, Blood glucose and  
Family history of diabetes by Risk group  
1
0
were identified as at risk for type 2 DM . Table 3 shows  
that there was no statistically significant gender differ-  
ence in relation to presence of risk for type 2 DM. In  
assessing the difference between the age groups, the age  
At risk for  
Type 2 DM  
Not at Risk OR  
(% of total)  
P value  
(% of total)  
1
0 to 12.9 years was used as the reference group. There  
Total  
Gender  
Male  
Female  
Age group  
21(2.4)  
858(97.5)  
301(99.3)  
was no significant difference found between the students  
in the three age groups as shown in Table 3. Partici-  
pants with family history of diabetes mellitus were more  
likely to be at risk for type 2 DM; however this differ-  
ence was not statistically significant. (p = 0.558). A  
highly significant difference was found between partici-  
pants with impaired fasting glucose compared with  
those with normal blood glucose. (p<0.0001) A signifi-  
cant difference was found for hypertension. (p<0.0001)  
Children with prehypertension or hypertension were  
2(0.6)  
19(3.3)  
558(96.7)  
0.20  
0.289  
1
1
1
0-12.9  
3-15.9  
6-19  
2(1.4)  
13(3.1)  
6(1.9)  
137(98.6)  
405(96.9)  
317(98.1)  
0.45  
0.77  
0.304  
0.752  
FH of DM  
Negative  
Positive  
BP  
Normal  
Hypertension 16(7.3)  
8(1.0)  
13(13.1)  
773(99.0)  
86(86.9)  
14.9  
0.558  
5 (0.8)  
656(99.2)  
203(92.7)  
3
4% more likely to be at risk for type 2 DM.  
10.34 <0.0001  
Blood glucose  
Normal  
IFG  
Children identified to be at risk for type 2 DM were  
referred to the Paediatric endocrinology unit of the Uni-  
versity Teaching Hospital for counselling and further  
evaluation and follow up.  
7(1.0)  
14(9.2)  
721(99.0)  
138(90.8)  
0.1  
<
0
.0001  
FH– Family history, BP-Blood pressure  
Table1: Demographic Characteristics, Fasting blood glucose,  
Blood pressure, and Family history of Diabetes mellitus and  
overweight status of school children  
Discussion  
Variable  
N (%)  
Ovetrhweight (BMI  
85 Percentile)  
This study shows a low prevalence of risk factors for  
T2DM in adolescents in public secondary schools in  
Port Harcourt using the ADA criteria. This finding is not  
consistent with rep9o,1r0t,s15from developed countries which  
>
Age(yrs.)  
1
1
1
0-12.9  
3-15.9  
6 -19  
139(15.8)  
418(47.5)  
323 (36.7)  
17(12.2)  
69(16.5)  
38 (11.8)  
are usually higher  
. In a study in Texas USA on  
Gender  
Male  
Female  
Fasting blood glucose  
prevalence of risk factors for type 2 DM in children  
aged 8 to 13 years, 22.6% of children aged 10 to 12  
years we9re at risk for type 2 DM according to the ADA  
criteria, this was much higher than the 1.4% found in  
children aged 10-12.9 years in our study. In Nigeria, no  
study has been done on prevalence of risk factors for  
Type 2 DM in adolescents. Studies in adults in Africa  
have however shown that risk factors for Type 2 DM are  
prev6a,1l7ent and the prevalence of Type 2 DM is increas-  
303(34.4)  
577(65.6)  
22(7.3)  
102(17.7)  
Normal  
IFG  
Diabetic  
Blood Pressure  
Normal  
Prehypertension/Hypertension 219(24.9)  
Family History of DM  
Positive  
Negative  
727(82.6)  
152(17.3)  
1(0.001)  
92(12.7)  
32(21.1)  
0(0)  
661(75.1)  
74(11.2)  
50(22.8)  
1
99(11.2)  
781(88.8)  
18(18.2)  
106(13.6)  
ing . Reports on Type 2 DM in children and adoles-  
cents in developing countries and in Africa is still  
scarce, in a report in Sudan, prevalence of Type 2 DM in  
children aged 11 to 18 years was 4%.The risk factors  
common amongst the children with Type 2DM were  
obesity, positive family history of diabetes and hyper-  
IFG (Impaired fasting glucose), BMI (Body mass index), DM  
(Diabetes mellitus)  
Table 2: Distribution of participants according to number of  
risk factors present  
1
8
tension . In children, overweight is the risk factor most  
9
Number of risk  
factors present  
Total (%)  
strongly associated with the development of T2DM . In  
Africa, there is a shift from underweight to overweight  
along with rapid socioeconomic and 9n,2u0tritional transi-  
Male  
Female  
1
None  
171  
94  
30  
8
286  
178  
80  
457(51.9)  
272(30.9)  
128(14.5)  
21( 2.4)  
tion particularly in urban population . In this study,  
One factor  
Two factor  
Three Factors  
Four Factors  
14.1% of students were overweight and obese, higher  
than earlier findings from Nigerian adolescents with sex  
specific prevalence ranging between 0 to 8.1% for males  
26  
6
0
2( 0.2 )  
21  
and 1.3 to 8.1% for females . Also in a Systematic re-  
view of evidence of overweight and obesity in school  
aged children and youths in South Africa, a combined  
prevalence of overweight and obesity was 13.1% similar  
2
2
to the rate reported in this study . About 85% of chil-  
dren with type 2 DM are overweight or obese with de-  
velopment of insulin resistance and toxicity to beta cells  
due to high levels of free fatty acids in obese  
1
40  
2
3
14  
individuals .  
cose based on the ISPAD criteria , 17.3% of the stu-  
dents had impaired fasting glucose also referred to as  
prediabetes. IFG is a feature of insulin resistance that  
may eventually progress to diabetes mellitus. It is usu-  
ally commoner in overweight adolescents as was seen in  
this study where about a fifth of the adolescents with  
IFG were overweight compared to 13% in normal  
weight adolescents.  
In this study, although the prevalence of those at risk for  
Type 2 DM using the ADA criteria was low, prevalence  
of individual risk factors and combination of risk factors  
were worrisome. In this study, about a quarter of the  
students had at least one risk factor and about 2.4% had  
three risk factors and only 0.2% had four risk factors. In  
a study done in Brazil amongst public secondary school  
adolescents aged 12 to 17 years, 7.5% of students had  
three risk factors and 1% had four risk factors . In an-  
other study on risk factors for T2DM amongst adoles-  
cents aged 12 to 17 years in private schools in Brazil the  
prevalence of individual risk factors were higher than in  
our study and the study in Brazil done in public secon-  
dary schools showing that students from private schools  
were more vulnerable to development of type 2 DM .  
In America, a progressive increase in prevalence of  
overweight and obesity noted over the years especially  
in minority ethnic groups and people of low income  
have been blamed for the increase in prevalence of Type  
DM . The increase in weight is due to an improvement  
24  
There is need to avert the consequences of the increasing  
incidence of Type 2 DM in children and adolescents,  
research has shown that the higher the number of risk  
factors, the higher the probability of acquiring the dis-  
2
7
ease . In individuals with risk factors, it has been re-  
ported that changes in lifestyle can reduce the chances of  
progression to Type 2 DM by 58% over a period of 3  
years. Such changes in lifestyle are aimed at reducing  
and maintaining a normal weight, increased consump-  
tion of fiber, restriction of fat, especia8lly saturated fat  
2
5
2
and increased regular physical exercise .  
9
2
in standard of living experienced at this time. The low  
prevalence rate therefore documented in this study may  
be the beginning of the rise with better assess to energy  
dense foods and transformation to more sedentary life-  
style experienced in many developing countries in Af-  
Conclusion  
Conclusion The prevalence of risk factors for type 2 DM  
according to the ADA criteria amongst students in Pub-  
lic secondary schools in Port Harcourt, Southern Nigeria  
was 2.4%. Prevalence of individual risk factors are of  
concern and presence of one or more risk factors is  
highly prevalent and seen in about half of the students  
studied.  
Considering the profile of risk factors recorded in this  
study, there should be creation of awareness amongst  
health workers and the general public and need for pub-  
lic policies in schools, homes, health care centres to pre-  
vent and control the increasing prevalence of these risk  
factors.  
1
6,17  
.
rica such as Nigeria  
Family history of diabetes mellitus is a very important  
risk8,f2a6ctor for development of Type 2 Diabetes melli-  
1
tus . Data from our study show that approximately  
one out of every ten participant had a positive family  
history of DM. In this study, although more students  
with family history of DM were at risk for type 2 DM,  
this was not statistically significant. The finding in this  
report is however much lower than the report from the  
Brazilian study where about half of the children studied  
had a positive family history which may have accounted  
2
4
for the higher prevalence of risk factors .  
Conflict of interest: None  
Funding: None  
Other risk factors evaluated were blood pressure and  
fasting blood glucose levels. In this study, about one  
quarter of the students had prehypertension and hyper-  
tension; although this is a concern, however the rate may  
partially be accounted for by the anxiety created by the  
study amongst the students and there is need for follow  
up. In the study on Type 2DM in Sudanese children and  
adolescents, more than fifty percent of the adolescents  
Acknowledgement  
We would like to say thank you to all medical officers  
who assisted in data collection, the students and school  
teachers of the various schools for their participation in  
this study.  
1
8
with Type 2 DM had hypertension . A considerable  
percentage of the children also had impaired fasting glu-  
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