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RESEARCH ARTICLE

SA JOURNAL OF DIABETES & VASCULAR DISEASE

48

VOLUME 15 NUMBER 2 • NOVEMBER 2018

The mean METs/hour of the subjects was 638.8 ± 565.5, with

66% of them spending most of their time in the travel domain

(Fig. 3). The prevalence of physical inactivity in the study population,

defined as total METs/hour in all four domains < 600 per week

was 50.9% (95% CI: 53.1–64.3%). Two hundred and thirty-four

(80.4%) of the subjects were inactive, 56 (19.2%) were low active,

while one (0.3%) was medium active. None was highly active.

One hundred and thirty-two (45.1%) subjects had co-occurrence

of two or more risk factors. The most prevalent combination was the

duo of hypertension and abnormal glucose profile. Fig. 4 shows the

common single risk factors, while common risk factor combinations

are shown in Fig. 5. Alcohol use and physical inactivity were the

commonest behavioural risk factors, while overweight/obesity,

hypertension and dyslipidaemia were the three most common

metabolic risk factors in the subjects (Fig. 6).

Pearson’s correlation was used to determine how some

independent numerical variables (age, BMI, number of years of

professional driving and number of driving hours/week) correlated

with the major outcome variables (SBP, DBP and fasting blood

glucose level). Age correlated significantly with SBP (

r

= 0.362,

p

< 0.001) and DBP (

r

= 0.335,

p

< 0.001). BMI also correlated

significantly with SBP (

r

= 0.288,

p

< 0.001) and DBP (

r

= 0.208,

p

< 0.001). BMI alone correlated significantly with fasting glucose

(

r

= 0.136,

p

= 0.021).

Furthermore, the independent variables were dichotomised to

look for an association between them and outcome variables of

hypertension and abnormal glucose profile. In this model only age,

BMI, number of years of professional driving andwaist circumference

had significant associations with hypertension, while none of these

except BMI had a significant association with abnormal glucose

levels (Table 4).

Fig. 3.

Contributions of the GPAQ2 domains to total physical activity of the

subjects.

Fig. 4.

Prevalence of single risk factors among the subjects.

Fig. 5.

Prevalence of multiple risk factors among the subjects.

Fig. 6.

Prevalence of different combinations of risk factors in the subjects. HTN:

hypertension; WC: waist circumference; TC: total cholesterol; HDL: high-density

lipoprotein cholesterol.