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SA JOURNAL OF DIABETES & VASCULAR DISEASE

RESEARCH ARTICLE

VOLUME 15 NUMBER 2 • NOVEMBER 2018

45

important but vulnerable group. These studies show that long-

distance drivers have a significant burden of hypertension and

overweight/obesity, comparable to or even higher than in the

general population.

19-21

Hypertension is a common and important

CVD risk factor. Its prevalence among long-distance bus drivers

in Nigeria is 22.5%,

19

which was also the pooled prevalence of

hypertension in the general population in 2012.

22

However, none

of these studies screened the drivers for diabetes/abnormal glucose

profiles or dyslipidaemia.

Considering the potential risk associated with professional

driving, the importance of bus drivers to the country’s socio-

economic development and the paucity of data on the cardiovascular

risk profile of long-distance bus drivers, it became necessary to

investigate the prevalence of cardiometabolic and lifestyle-related

risk factors for CVD and their predictors in this segment of the

Nigerian working population in Lagos, south-west Nigeria. The

findings from this study will also help create awareness of their risk

burden and possibly help shape policies to address this risk.

Methods

This was a cross-sectional study involving male long-distance bus

drivers in major motor parks in Lagos. The parks were selected

based on their size and the routes they serve. Long-distance driving

was defined as a distance of 160-km radius from the terminal of

departure.

23

The calculated sample size was 268 based on the prevalence of

hypertension in the general population.

22

To allow for 15% attrition

rate, the sample size was increased to 308. However, 15 of the

drivers did not have complete data and were not included in the

data analysis, giving a response rate of 95%. Therefore 293 was

the final sample size used in the data analysis. Ethical approval for

the study was obtained from the Health Research Ethics Committee

of the Lagos University Teaching Hospital.

We used a stratified cluster-sampling method to recruit

longdistance drivers registered with the Transport Workers’ Union

from selected motor parks in Lagos between March and July 2015.

The motor parks were then stratified based on whether or not they

organised mandatory annual health and safety training for their

drivers (AHS motor parks). Only two motor parks employing 400

drivers met this criterion. The drivers in the AHS motor parks only

operate from their company terminals. We selected one of these

for inclusion in the study because its annual health and safety

programme coincided with the study period. All 168 drivers agreed

to participate but three (1.8%) later declined.

The second category of (non-AHS) motor parks comprised

independent drivers and drivers working for small transport

companies that operate from general and less regulated motor

parks in Lagos and who do not routinely receive formal health and

safety checks. We divided these motor parks into two; those serving

the northern and southern parts of the country, respectively. We

then randomly selected two motor parks from each of these strata

for inclusion in the study, thereby selecting four in total. Finally, we

used a convenience sample of 50 drivers from each of these four

parks and recruited 143 of them (71.5% response rate). Those who

declined did so due to time constraints and undisclosed personal

reasons. Fig. 1 shows the consort diagram on how the participants

were recruited.

On a mutually agreed day, the consenting drivers were

approached in groups and were given a talk on the importance of

healthy living and they were also briefed on the usefulness of the

study. They were told to observe an overnight fast on the day of the

medical screening. We used a structured questionnaire administered

by trained interviewers to obtain their sociodemographic data and

relevant medical history. Those who couldn’t read or write were

assisted to complete the questionnaire by interviewers who could

speak their native languages.

Thereafter their body weights were measured in kilograms with

an Omron HN289 (Osaka, Japan) digital weighing scale, placed on

a firm, flat ground, with participants wearing light clothing and

with no footwear or cap. Measurements were taken to the nearest

0.5 kg, after ensuring that the scale was always at the zero mark.

Their heights were measured in centimetres with a Seca model

216 (GmbH, Hamburg, Germany) stadiometer with the participant

standing erect, back against the height metre rule and occiput

and heels making contact with the height metre rule. BMI was

calculated as weight in kilograms divided by height squared in

metres.

24

BMI was categorised as underweight < 18.0 kg/m

2

;

normal weight 18.0–24.9 kg/m

2

; overweight 25.0–29.9 kg/m

2

;

class I obesity 30.0–34.9 kg/m

2

; class II obesity 35.0–39.9 kg/m

2

and class III obesity > 40.0 kg/m

2

.

Participants’ waist circumferences were measured with an

inextensible, inelastic 1-cm-wide tape snug around the body at the

level of the midpoint between the lower margin of the last palpable

rib and the top of the anterior iliac crest. Measurements were taken

at the end of normal respiration and ≥ 102 cm was regarded as

abdominal obesity.

25

Their neck circumferences were also measured

with an inextensible, inelastic 1-cm-wide tape at the level of the

cricoid cartilage. A neck circumference ≥ 40 cm defined obesity.

26

The blood pressure (BP) of the participants was measured by the

research assistants after five minutes of rest, with the participant

seated comfortably, feet on the floor, arm at the level of the heart

and free of any constricting clothing. Appropriate-sized cuffs and

bladder connected to an Omron HEM7233 (Osaka, Japan) digital

sphygmomanometer were used in measuring the BP, which was

taken initially on both arms, and the arm with the higher value was

used in subsequent measurements. Three BP readings were taken

at two- to three-minute intervals. The average of three readings

was taken for analysis. Hypertension was defined as BP ≥ 140/90

mmHg, self-volunteered history of hypertension and/or use of anti-

hypertensives.

Venepuncture was done on each participant while observing

aseptic techniques. Five millilitres of venous blood was put in fluoride

oxalate and lithium heparin vacutainer specimen bottles for fasting

plasma glucose and fasting lipid profiles, respectively, and sent to the

laboratory for processing and analysis with a Beckman (Pasadena,

CA, USA) automated clinical chemistry autoanalyser using standard

reagents/kits from Randox Laboratories.

27

Participants with a fasting

plasma glucose value of ≥ 126 mg/dl (6.99 mmol/l), self-volunteered

history of diabetes and or use of insulin/oral hypoglycaemic agents

were regarded as diabetic, while a fasting plasma glucose level

between 100 and 125 mg/dl (5.55–6.94 mmol/l) was regarded as

impaired fasting glucose.

28

For the purpose of this study, abnormal

glucose profile was defined as a combination of impaired fasting

glucose and frank diabetes.

Abnormal lipid profile was determined from the ATP III guidelines

of 2001; total cholesterol (TC) ≥ 240 mg/dl (6.22 mmol/l), high-

density lipoprotein cholesterol (HDL-C) ≤ 40 mg/dl (1.04 mmol/l),

and low-density lipoprotein cholesterol (LDLC) > 160 mg/dl (4.14

mmol/l) and triglycerides > 150 mg/dl (1.70 mmol/l).

29

Atherogenic