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RESEARCH ARTICLE

SA JOURNAL OF DIABETES & VASCULAR DISEASE

64

VOLUME 16 NUMBER 2 • NOVEMBER 2019

Thirty-two FAs were measured in fasted plasma samples from

711 participants. Six FAs, i.e. pentadecanoic acid (C15:0), margaric

acid (C17:0), trans vaccenic acid (C18:1

n-

7t), rumenic acid (C18:2

n-

7tt), stearidonic acid (C18:4

n-

3) and eicosatrienoic (C20:3

n-

3)

were below the limit of quantification and therefore not included.

The remaining 26 plasma phospholipid FAs were quantified and

expressed as a percentage of total FAs. Quality of data was assured

with a separate calibration for each FA, monitoring of internal

standard (1,2-diheptadecanoyl-snglycerol-3 phosphorylchloline,

Matreya, Pennsylvania, USA) and Levey Jennings graphs for a

pooled plasma control analysed with each batch.

The MetS was defined according to recommendations by the

Joint Interim Statement of six international associations as the

presence of three or more of the following: (1) fasting plasma

glucose levels ≥ 5.6 mmol/l or the use of oral hypoglycaemic

medication; (2) serum triglycerides ≥ 1.7 mmol/l; (3) serum HDL ≤

1.0 mmol/l for men and ≤ 1.3 mmol/l for women; (4) BP ≥ 130/85

mmHg or the use of BP medication; and (5) WC of ≥ 94 cm for men

and ≥ 80 cm for women.

41

Statistical analysis

Continuous variables were described as medians and interquartile

ranges if data deviated from the normal distribution according to

the Kolmogorov–Smirnov test, whereas categorical variables were

presented as percentages. No

n-

normally distributed data were log

transformed before inclusion in regression models. Participants’

characteristics were compared by gender and BMI categories

using the Mann–Whitney

U

-test or chi-squared test for continuous

and categorical variables, respectively. Differences between

individual FAs and ratios by BMI and gender groups were tested

with the Mann–Whitney test. A BMI < 25 kg/m

2

was considered

as underweight and/or normal-weight or lean, whereas BMI ≥ 25

kg/m

2

was considered overweight and/or obese. The effect size of

the differences between groups was calculated using the Man–

Whitney

U

-value and sample size of the groups.

42

Principal-component-based varimax factor analysis of the

correlation matrix was used to define dietary FA (based on the

QFFQ) and plasma phospholipid FA patterns. The identification

and naming of 11 dietary FAs and 26 plasma phospholipid FAs

used in this study are based on relevant literature and the levels of

specific FAs observed in our population.

43

The number of factors

to retain was established by the Kaiser criterion (eigenvalues > 1)

and scree-plot visual inspection. Loadings with absolute values >

0.5 were considered as relevant for the contribution to each FA

pattern. The associations between FA patterns and outcomes were

evaluated by sequential regression models, logistic regression for

the dichotomous outcome (MetS), and generalised linear models

for continuous outcomes (WC, BMI and WHtR).

The first step of the sequential modelling analyses was based on

models that contained only dietary FAs or plasma phospholipid FA

patterns and was referred to as a crude model. The crude model

was then adjusted for gender and age (adjusted model1). This

model was further adjusted for lifestyle confounders, including the

level of education, physical activity, alcohol and total energy intake,

and self-reported smoking status, creating a fully adjusted model.

We further adjusted this model for contraceptives (adjusted for in

plasma phospholipid FA pattern models only) and dietary factors,

including total fats, carbohydrates, dietary fibre and energy from

added sugar as individual confounders and as combined covariates.

Model fittingwas evaluated using the adjusted

R

-square for linear

regression and maximum re-scaled R-square statistic for logistic

regression. Linear regression results are presented as standardised

β

and 95% confidence intervals (CI) with their significance levels,

and odds ratio and 95% CI with significance levels for logistic

regression. All analyses were performed using SAS Version 9.4 (SAS

Institute, Cary, NC, USA)

44

and

p

< 0.05 was considered significant.

Results

The baseline characteristics of the 711 participants are shown in

Table 1. The majority were women (61.6%) and the median age

was comparable between men and women. Men had higher HDL

levels and were more likely to smoke. By contrast, the women had

higher serum triglycerides, as well as higher levels of measures

Table 1.

Demographics, health and dietary intake data of an apparently

healthy cohort of 711 black South African adults participating in the

PURE study

Men (

n

= 273) Women (

n

= 438)

Variables

Median (Q

1

, Q

3

)

b

Median (Q

1

, Q

3

)

b

p

-value

c

Demographics

Age (years)

52 (46, 60)

52 (45, 59)

0.80

Education (educated),

n

(%)

155 (57.6)

263 (62.2)

0.22

Tobacco use (current

smoker),

n

(%)

163 (59.7)

205 (46.8)

0.0008

Alcohol (g/week)

6.4 (0, 24.9)

0 (0, 3.9)

< 0.0001

Physical activity index

2.8 (2.5, 3.1)

2.8 (2.5, 3.3)

0.71

Waist circumference (cm) 75.4 (69.7, 82.4) 82.0 (71.7, 92.6) < 0.0001

Waist-to-height ratio

0.45 (0.4, 0.5)

0.52 (0.5, 0.6) < 0.0001

Body mass index (kg/m

2

) 20.0 (18.1, 23.2) 26.0 (21.8, 31.9) < 0.0001

Systolic blood pressure

(mmHg)

135 (121, 152)

132 (118, 150)

0.06

Diastolic blood pressure

(mmHg)

88 (78, 98)

88 (70, 97)

0.84

Fasting glucose (mmol/l) 4.8 (4.3, 5.4)

4.9 (4.3, 5.4)

0.53

Total cholesterol (mmol/l) 5.0 (4.1, 6.0)

5.1 (4.4, 6.2)

0.35

High-density lipoprotein

cholesterol (mmol/l)

1.54 (1.2, 2.1)

1.5 (1.2, 1.8)

0.04

Low-density lipoprotein

cholesterol (mmol/l)

3.1 (2.3, 4.0)

3.4 (2.7, 4.2)

0.06

Triglycerides (mmol/l)

1.0 (0.8, 1.5)

1.2 (0.9, 1.8)

0.002

Dietary intake

g

Total energy (kcal/day) 1874 (1377, 2612) 1628 (1189, 2212) 0.001

Total carbohydrate

(g/day)

285.4 (199, 378) 248.8 (180.6, 325.1) 0.01

Total fibre (g/day)

14.8 (25, 30)

17.9 (12.7, 25.2)

0.004

Total protein (g/day)

55.0 (38, 75.7)

46.2 (33.1, 65.0) < 0.0001

Total fat (g/day)

45.3 (28.5, 63.7) 40.5 (26.3, 64.4)

0.10

Total saturated fatty

acids (g/day)

10.5 (6.5, 15.7)

9.5 (5.6, 16.6)

0.13

Total mono-unsaturated

fatty acids (g/day)

11.4 (6.8, 17.8)

10.4 (6.0, 18.3)

0.14

Total polyunsaturated

fatty acids (g/day)

13.6 (8.8, 19.6)

13.1 (7.5, 20.0)

0.47

Total

n

-3 polyunsaturated

fatty acids (g/day)

0.4 (0.2, 0.6)

0.33 (0.20, 0.5)

0.15

Total

n

-6 polyunsaturated

fatty acids (g/day)

13.3 (8.8, 19.2)

12.9 (7.3, 19.6)

0.55

a

Baseline demographic details of participants.

b

Data are presented as median (interquartile range): Q

1

, lower interquartile

range; Q

3

, upper interquartile range.

c

Significance levels of differences in parameters between men and women,

based on Mann–Whitney and chi-squared tests for continuous and

categorical variables, respectively.