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RESEARCH ARTICLE

SA JOURNAL OF DIABETES & VASCULAR DISEASE

12

VOLUME 16 NUMBER 1 • JULY 2019

Sensitisation of the university staff members was carried out

using invitation letters through the various directorate heads,

announcements on the university FM radio station, and banners

placed at strategic places such as the entrances and exits of the

university and the health clinic two months prior to and during the

study period.

All employees of the university who subsequently presented to

the university health clinic during the study period were recruited

into the study. Pregnant and menstruating women were excluded

from the study as anthropometric measurements and urine testing

for abnormalities would not be useable.

The Human Research and Ethics Committee of the Jos University

Teaching Hospital approved the study. All participants gave written

informed consent before participation.

All participants had the opportunity to be counselled on healthy

lifestyles, and participants found to have NCDs were referred

for appropriate care. All the participants were evaluated using a

modified version of the World Health Organisation (WHO) STEPwise

approach to non-communicable disease.

12

STEP 1 entailed history taking, looking particularly for risk factors

for NCDs and the lifestyle of the subjects.

STEP 2 involved a physical examination in which the height and

weightweremeasuredusinganelectronicweighingscale, stadiometer

and non-stretch tape measure, respectively. The body mass index

(BMI) was calculated from the Quetelet index.

13

Blood pressure was

measured using the OMRON digital sphygmomanometer.

STEP 3 involved obtaining blood samples for casual plasma

glucose, serum creatinine, total cholesterol and high-density

lipoprotein cholesterol levels, and urine testing for proteinuria and

haematuria. Casual plasma glucose (CPG) level was estimated using

the glucose oxidase method. Serum creatinine was assayed using

the kinetic enzymatic method, and estimated glomerular filtration

rate (eGFR) from the measured serum creatinine level using the

CKD-EPI calculator.

14

The laboratory analyses of the tests were

carried out at the commercial laboratory of APIN, Jos University

Teaching Hospital, Jos.

Generalised obesity, hypertension, diabetes mellitus and

dyslipidaemia were defined according to internationally accepted

guidelines.

13,15-17

Chronic kidney disease (CKD) was regarded as the

presence of proteinuria using urine dipsticks and/or eGFR < 60 ml/

min/1.73 m

2

.

18

Statistical analysis

Data obtained were analysed using the Epi Info 7 statistical software

(CDC, Atlanta, GA). Means ± SD were used to describe normally

distributed continuous variables, and proportions for categorical

variables. Median with range was used to describe non-normally

distributed continuous variables. The Student’s

t

-test was used

to compare group means and the chi-squared test to compare

proportions. The Fisher exact test was used when cells contained

less than five observations. The non-parametric Mann–Whitney

U-test was used to compare non-normally distributed continuous

variables. A

p

-value < 0.05 was considered significant.

Results

A total of 883 (521; 59.0% males) employees with a slight

predominance of junior-cadre workers participated in the study

(Table 1). The majority were between 31 and 60 years old with

a mean age of 44 ± 10 years. Women were older than the men

and half had completed tertiary level education. The majority

(80.5%) were married, with a median monthly household income

of US$400 equivalent (US$1:00 exchanged for N150:00 as at the

time of the study).

The median (IQR) number of NCD risk factors was three (two

to three) per participant. The most common NCD risk factors

were inadequate intake of fruit and vegetables (94.6%; 95% CI:

92.8–95.9), physical inactivity (77.8%; 95% CI: 74.9– 80.5%) and

dyslipidaemia (51.8%; 95% CI: 48.4–51.6%). Details of NCD risk

factors by sociodemographic variables are shown in Table 2.

No participant admitted to passive (second-hand) smoking

at home or in the work environment and none used smokeless

tobacco. As shown in Fig. 1, tobacco use (Fig. 1A), obesity and

dyslipidaemia (Fig. 1B) increased with age.

A low intake of fruit and vegetables was common in participants

with a formal education (Fig. 1C), as were physical inactivity, obesity

and dyslipidaemia (Fig. 1D), compared to those without formal

education. Fig. 1F shows that physical inactivity and dyslipidaemia

increased with increasing household income.

Hypertension was the most common NCD, being present in

nearly half the participants (48.5%; 95% CI: 45.1–51.8%), as

Table 1.

Characteristics of 883 staff members of the University of Jos

evaluated for select non-communicable diseases between February

and June 2014

Total

Males

Females

Variable

(

n

= 883)

(

n

= 521)

(

n

= 362)

p

-value

Mean age, years

44 ± 10

43 ± 10

45 ± 9

0.002

Age group, years,

n

(%)*

< 20

3 (0.3)

2 (0.4)

1 (0.3)

< 0.0001

21–30

83 (9.4)

61 (11.7)

22 (6.1)

31–40

257 (29.1) 166 (31.9)

91 (25.1)

41–50

294 (33.3) 155 (29.8) 139 (38.4)

51–60

215 (24.3) 115 (22.1) 100 (27.6)

> 60

31 (3.5)

22 (4.2)

9 (2.5)

Married (

n

= 878);

n

(%)

707 (80.5) 437 (84.2) 270 (75.2) < 0.0001

Tertiary education

completed

440 (50.2) 243 (46.9) 197 (55.0)

0.02

(

n

= 876);

n

(%)

Junior staff (

n

= 843);

n

(%)

466 (55.3)

319 (63.0)

147 (43.6) < 0.0001

Monthly income, USD,

median

400

333.33

466.66

< 0.0001

BMI (kg/m

2

)

27.2 ± 5.1 25.1 ± 3.5 30.2 ± 5.7 < 0.0001

SBP (mmHg)

129 ± 19

130 ± 19

127 ± 20

0.06

DBP (mmHg)

79 ± 12

79 ± 12

80 ± 11

0.4

CPG, median (mg/dl)

85.0

85.0

86.0

0.10

[mmol/l]

[4.72]

[4.72]

[4.77]

Proteinuria

(

n

= 883) (%)

116 (13.2)

72 (13.8)

44 (12.2)

1.15

Serum creatinine

(mmol/l)

74.5 ± 19.3 81.8 ± 19.7 64.0 ± 13.1 < 0.0001

eGFR (ml/min/1.73m

2

) 114.2 ± 20.5 115.1 ± 20.7 113.1 ± 20.2 0.15

Reduced eGFR

4 (0.4)

2 (0.4)

2 (0.5)

0.69

TC (mg/dl)

193.4 ± 43.9 201.4 ± 46.2 187.9 ± 41.4 < 0.0001

[mmol/l]

[5.01 ± 1.14] [5.22 ± 1.20] [4.87 ± 1.07]

HDL-C (mg/dl)

56.6 ± 16.4 60.7 ± 16.5 53.8 ± 15.7 < 0.0001

[mmol/l]

[1.47 ± 0.42] [1.57 ± 0.43] [1.39 ± 0.41]

*Fisher exact test; USD: United States Dollars; BMI: body mass index; SBP:

systolic blood pressure; DBP: diastolic blood pressure; CPG: casual plasma

glucose; eGFR: estimated glomerular filtration rate; TC: total cholesterol;

HDL-C: high-density lipoprotein cholesterol.