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CARDIOVASCULAR JOURNAL OF AFRICA • Volume 32, No 4, July/August 2021

212

AFRICA

age has been linked to deteriorating health.

29,30

Decreasing SBP

with age has been associated with dementia, depression, poly-

pharmacy (use of a large number of medications) and increased

number of co-morbidities.

31,32

A steeper decrease in both SBP

and DBP has been associated with a diagnosis of diabetes,

33

and an increase in all-cause and cardiovascular mortality.

34

However, longer-term decreases in BP have also been shown

to occur with or without the presence of hypertension, heart

failure, atrial fibrillation or stroke,

35

implying that decreasing BP

could be due to low cardiac output, a feature of ageing.

36

The

deceleration and decline in BP in old age is also associated with

use of antihypertensive medication,

22

which we did not account

for in this study.

The results of the three group-based trajectories show that

the averages for both BPs were either at the pre-hypertensive

or hypertensive levels for the medium and highly elevated BP

groups. The proportion of women in these two groups of

trajectories aged 45 years or above was more than those in

the lower BP trajectory group. Persistently elevated BP and

hypertension trajectories have been associated with increased

incidence of atrial fibrillation, with the associations being

stronger in women than men.

37

It has also been associated with

a higher risk of subclinical renal damage (SRD) since evidence

shows that the higher the levels of SBP in early life, the higher

the urinary albumin-to-creatinine ratio and risk of SRD later

in life.

38

Some studies have suggested that individuals with high

BP, especially SBP in midlife, are at a higher risk of arterial

stiffening.

39,40

Evidence has shown that continuously high BP

for years is closely correlated with subclinical atherosclerosis,

41

intima–media thickness and left ventricular mass index.

42

The unadjusted trajectories reflect the added effect of ageing

and the influence of other life-course risk factors such as BMI.

Generally, the effect of BMI on BP trajectories affected the

baseline value (intercept) more than the rate of change (slope).

This could be an indication that the effect of BMI on BP is as a

result of BMI increases that usually and rapidly take place early

in life. Accelerated weight gain and increased BMI in childhood

and early adult life increase the risk of elevated BP and the

development of hypertension in later life.

43,44

Surveys in South Africa have shown that the average BMI

for women by age 30 years is more than 28.0 kg/m

2

,

45-49

which is

in the upper range of the overweight level. The majority of the

women in this study were at least 30 years old, and the average

BMI at the first encounter was 29.9 kg/m

2

. An increase in BMI

could lead to arterial stiffness, which may cause the development

of higher BP levels.

50

Higher SBP levels reflect the stiffening of

the arterial walls in areas exposed to increased pressure,

51

while

coronary perfusion of the myocardium may be related to DBP.

52

Allowing the effect of BMI to vary by individual brought

about three more important findings. First, the standard

deviation of the random intercepts increased, an indication that

baseline BPs varied greatly by individual. This was evident from

the clear distinction in the group trajectories, which did not

interact at any time point. Second, the results showed that the

effect of BMI on BP changes was higher in women who initially

were in the normotensive status (low BP group), and the effect

progressively became less in those initially in the pre-hypertensive

(medium BP group) and hypertensive (highly elevated BP) states.

The third issue relates to the correlationbetweenmeasurements

from the same individual, which became more pre-eminent after

allowing the effect of BMI to be specific to each individual.

A stronger correlation can be helpful in tracking those likely

to have persistently high BP. Tracking of a characteristic is

the stability of a certain feature over time or its predictability

based on earlier measurements.

53,54

Tracking the stability of BPs

is of considerable public health interest because those at high

risk of developing hypertension could be identified at an early

stage,

55

through screening. The influence of change in BMI on

BP tracking emphasises the importance of weight control at

an early age. Maintenance of normal weight gain in childhood

may prevent clustering of hypertension and CVD risk factors in

adulthood.

56

The ideal trajectory for BP is one with minimal fluctuations

within the normotensive ranges across all ages. Favourable (less

steep trajectory) BP trends are attributed to socially patterned

and modifiable BP-related exposures such as lifestyle and diet.

57,58

Few studies from isolated communities such as forager-farmers,

have shown minimal age-related BP increases in comparison to

Western societies.

59

These communities however have adopted

a predominantly vegetarian diet with very low salt content, a

physically active lifestyle, and very low or non-existent obesity

levels.

59-61

Individuals who undergo an urban migration from one

of these isolated communities have been found to adapt quickly

to BP profiles of their adopted communities.

60

The main limitation to the study was that we were unable

to account for subjects on antihypertensive medications, which

could also have contributed to the decreasing BPs with increasing

BMI in higher age groups, and the majority of the women (>

70.0%) having SBP in the lowest of the three trajectory groups.

Nonetheless, controlling BMI for this and similar populations

should be prioritised as it could be beneficial in many ways and

possibly cheaper for BP control than medication alone. Another

limitation was that the sample size for women above 60 years at

any time point was small and this was the reason for the volatile

trajectory in this age range.

Notwithstanding, the major strength was in using repeated BP

and anthropometric measurements, which helped in analysing

long-term trends in BP changes as they were influenced by age

and BMI. This could be useful in guiding clinical practitioners

to focus on population segments with particular risk profiles.

Another strength was the study result showing that the effect of

BMI on elevation of BP was not similar for all individuals, and

this could help in clinical practice by designing individualised

interventions.

Conclusions

Three subgroups of increasing SBP and DBP trajectories were

identified, with the majority of the women in each BP type

falling in the lowest group, which on average was initially in

the normotensive state. The effect of BMI on the BP trajectory

for age was highest in women who initially had relatively lower

(mostly in the normotensive state) initial BPs. This BMI effect

gradually dropped in tandem with increasing initial BP. The

study also showed that steep increasing trajectories could be

avoided if preventative interventions are implemented between

30 and 40 years of age fromwhen the BP starts to increase steeply.

Follow-up study is required to find out if these trajectories would

be similar to findings from a larger and more diverse nationally

representative sample.