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CARDIOVASCULAR JOURNAL OF AFRICA • Volume 31, No 6, November/December 2020

310

AFRICA

mean seven-day awake METs in female teachers in the light-PA

group was found. The weak relationship between PA and CIMT

was also observed in a somewhat similar study.

45

PA was measured using a combined accelerometer and heart

rate monitor, the ActiHeart. One of the main observations of

the study was the high level of sedentary behaviour in adults,

which is in agreement with other studies.

8,9,46

The participants’

occupation might explain the high percentage of teachers being

classified as physically inactive or lightly physically active, as

most of their working time is spent standing, sitting or walking

slowly, which are all forms of sedentary or light energy cost

activity.

39

Physical inactivity may lead to the development of

cardiovascular disease risk factors, such as overweight and

obesity,

47

and this was evident in the present study. The observed

high prevalence of overweight and obesity found in this sample

of teachers is consistent with the statistics for South Africa noted

in the World Health Organisation’s 2017 Overweight and Obesity

report.

48

The inverse relationship between CIMT and PA in the

sedentary group of teachers is similar to the study by Parsons

et al.

23

in older males (age 78 years), and the study of Gomez-

Marcos

et al.

as assessed by accelerometer and seven-day

physical activity recall (PAR)

49

in healthy adults (56 years).

The potential beneficial effect of PA and therefore increased

energy expenditure on lowering subclinical atherosclerosis levels

is apparent.

12

Contrastingly, Ascenso

et al.

50

indicated that the

effect of PA was not observed in sedentary obese adolescents but

was present in individuals who were classed as lightly physically

active. Conflicting results from Kozàkovà

et al.

24

indicated a

significant positive relationship with a sedentary or light-PA

ratio and CIMT in a healthy adult population (44 years).

The relationship between CIMT and PA has not been

well established; different studies have reported controversial

results about the relationship between CIMT and PA. This

controversy may be explained by several influential factors

in the relationship, such as age, gender, previous disease,

measurement instruments and methods, and PA intensity.

49

Huynh

et al.

51

indicated that sedentary behaviour and low levels

of PA were not associated with carotid distensibility. However,

in a systematic review, Kadoglou and colleagues

52

suggested that

although the influence of PA on CIMT was inconsistent among

healthy individuals, physical inactivity was associated with an

increased CIMT.

The association between PAL and CIMT in our cohort may

be significant due to the levels of TEE and REE in the equation,

taking into account not only the energy expenditure due to

AEE and the TEE but also the REE. We can speculate that

the observed prevalence of overweight and obesity might be a

contributor to the lack of a significant relationship between AEE

and CIMT, in the sense that obese individuals’ average daily

metabolic rate, not non-basal energy expenditure, is positively

related to body size.

53

Westerterp

53

stated that AEE is the energy expenditure

associated with muscular contractions involved in performing

body postures and movements. We may assume that our

study participants with mean BMIs almost equal to 30 kg/m

2

regardless of their PA levels might have struggled to achieve

a five- to 20-fold increase in metabolic rate compared with

non-obese individuals.

54

Westerterp

53

argued that the ratio of

energy cost for low:moderate:high-intensity activity is 1:2:4, and

the contribution of high-intensity activity to AEE is about 25%.

Most teachers move around or walk when teaching sessions take

place,

55

but this might not be enough to reach an AEE equal to

or above 25%.

Unfortunately, in our study, only one participant (0.9%), who

was not included in the analyses, participated at moderate-to-

high intensity, and that could also be a reason for not finding a

significant relationship between AEE and CIMT. It should also

be noted that sedentary behaviour that is measured at one time

point to capture a participant’s typical weekly PA might have

contributed to the observed associations.

56

The mean WC values for male and female teachers in our

study were above the measurements classified as ‘at risk of

disease’, according to the ACSM (males ≥ 102 cm; females ≥

88 cm).

36

The non-significant relationship between CIMT and

WC in this study is congruent with the findings of one study

conducted in apparently healthy adults.

21

Contradictory evidence

from Ascenso

et al.

50

indicates no correlation between sedentary

time and WC; however, their study was conducted in obese

adolescents, which may explain the reason for the disparity.

In our study, we also found significant gender differences in

CIMT, with male teachers in both the sedentary and light-PA

groups having higher CIMT than female teachers. This can

be explained by risk-factor classification, with males at higher

risk of developing CVD at an earlier age.

36

The results can be

affirmed by similar studies in young populations; Ried-Larsen

et al.

57

also found significantly higher CIMT in Danish boys

than in girls. Furthermore, Ascenso

et al.

50

stated similar gender

differences in CIMT; however, the results were not significant.

This result was similar to Jain

et al.

,

58

who found that males had

a significantly higher burden of subclinical disease, measured by

non-invasive imaging.

An unexplained significant negative relationship observed in

our study between CIMT and TEE was also shown by Walker

et al.

56

in males who were classified in a sedentary group. The

findings might in part be explained by the 56% of participants

classified as light PA who presented with overweight and obesity

in our study. This finding was inconsistent with findings in

obese children and adolescents in other studies; however, they

did not focus on adults or teachers and revealed insignificant

correlations between sedentary behaviour and CIMT. However,

light PA was positively correlated with CIMT.

50

In a study by Kozàkovà

et al.

24

among Caucasian males

and females, a positive association existed between CIMT

and time spent sedentary, whereas an inverse relationship was

found between light PA and CIMT. Conversely, Ried-Larsen

and colleagues,

25

studying Danish adolescents, reported no

associations between CIMT and moderate-to-vigorous PA or

vigorous PA. Studies in British adults and young Indian adults

have reported inverse associations between CIMT and PA;

23,59

while Ebrahim

et al.

60

reported no relationship in British adults.

Inconsistent findings were most likely due to considerable

variation in PA measurement protocols and variability of the

study populations, using arbitrary cut-off values.

52,56

In our study, male teachers had higher AEE, mean seven-day

awake METs and PAL than female teachers in the sedentary

group, as well as higher TEE than females in the light-PA group.

The results are comparable to those of Guthold and colleagues,

9

who reported a higher prevalence of physical inactivity among

South African females compared with males. Additionally,