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. 2012 Mar 19;14(2):R67. doi: 10.1186/ar3784

Obesity and carotid atherosclerosis in African black and Caucasian women with established rheumatoid arthritis: a cross-sectional study

Ahmed Solomon 1, Gavin R Norton 2, Angela J Woodiwiss 2, Patrick H Dessein 2,✉
PMCID: PMC3446436  PMID: 22430029

Abstract

Introduction

Reported findings on the relationship between adiposity and atherosclerotic cardiovascular disease (ACVD) risk in rheumatoid arthritis (RA) are contradictory and originate in developed populations. Approximately 80% of ACVD now occurs in developing countries. We aimed to ascertain the associations of clinical obesity measures with metabolic cardiovascular risk and atherosclerosis in African women with RA from a developing black and developed Caucasian population.

Methods

The associations of body mass index (BMI) as an indicator of overall adiposity and waist circumference and waist-to-height and waist-to-hip ratios as abdominal obesity indices with metabolic risk factors and high resolution B-mode ultrasound-determined carotid artery atherosclerosis were assessed in multivariate regression models in 203 African women with established RA; 108 were black and 95 Caucasian.

Results

BMI and waist-to-height ratio were higher in African black compared to Caucasian women (29.9 (6.6) versus 25.3 (4.9) kg/m2, P = 0.002 and 0.59 (0.09) versus 0.53 (0.08), P = 0.01, respectively). Interactions between population origin and anthropometric measures were not related to metabolic risk factors but were associated with atherosclerosis, independent of confounders and individual terms. In all patients, BMI was related to systolic and diastolic blood pressure but not with serum lipid concentrations whereas abdominal obesity indices were associated with serum lipid concentrations but not with blood pressure values; obesity measures that were associated with plasma glucose concentrations comprised BMI, waist circumference and waist-to-height ratio (P < 0.05 in multiple confounder adjusted analysis). In African Caucasian women, BMI was associated with common carotid artery intima-media thickness (standardized β (95% confidence interval (CI)) = 0.21 (0.03 to 0.38)) and waist-to-hip ratio with plaque (odds ratio (OR) (95% CI) = 1.83 (1.03 to 3.25) for one standard deviation (SD) increase). These relationships were independent of multiple non-metabolic risk factors and explained by metabolic risk factors. In African black women with RA, none of the obesity measures was related to atherosclerosis.

Conclusions

Obesity in women with RA from developing groups of black African descent does not as yet translate into atheroma. In Caucasian women with RA that belong to developed populations, BMI and waist-to-hip ratio should be considered in ACVD risk assessment.

Introduction

Rheumatoid arthritis (RA) is a chronic inflammatory and potentially destructive joint disease that enhances the risk for atherosclerotic cardiovascular disease (ACVD) event rates two fold [1]. ACVD death rates are increased by 50% and responsible for most of the excess mortality in RA [2]. Traditional and nontraditional cardiovascular risk factors as well as genetic polymorphisms were each reported to be associated with cardiovascular disease in RA [3-12].

The role of excess adiposity in ACVD and cardiovascular risk assessment among persons with RA has become a controversial issue. Whereas adiposity as assessed by the body mass index (BMI) and waist circumference was shown to be independently associated with enhanced metabolic cardiovascular risk [13,14], a paradoxical inverse relationship between the BMI and ACVD and overall mortality were reported in RA [15,16]. The increased ACVD risk associated with a low BMI in patients with RA could be explained by chronic inflammation and inactivity mediated reduced lean mass and particularly muscle mass in the presence of increased body fat accumulation, a condition known as rheumatoid cachexia [15-17]. Alternatively, Stavropoulos-Kalinoglou and colleagues recently proposed that a paradoxical epidemiological association between survival outcomes and cardiovascular risk factors such as obesity as well as analytical deficiencies in some of the previous studies may account for the reported seemingly contradictory observations on the potential impact of adiposity on cardiovascular risk in RA [18]. Importantly in the present context, BMI constitutes the only obesity measure in RA studies on cardiovascular morbidity and mortality [18]. However, BMI does not discriminate between body fat percentage and lean mass [19] and predicts cardiovascular disease less effectively than measures of central obesity [20-22] in non-RA subjects. To the best of our knowledge, the relative role of different clinical obesity measures in the assessment of ACVD risk in RA has not been reported.

Reported data on atherogenesis in the general population and diseases such as RA derive almost exclusively from developed populations [23,24]. Nevertheless, approximately 80% of ACVD now arises in low income or developing countries. In South Africa, a sub-Saharan country, a minority of citizens consist of an overall affluent, developed and mostly Caucasian population whereas the majority are socially and economically disadvantaged, at an earlier epidemiological health transition stage with consequent different cardiovascular risk factor profiles and disease presentation and mostly of black African ancestry [25-27]. A markedly high prevalence of obesity has been increasingly reported especially in black South African women [28,29]. Still, ACVD event rates remain distinctly low in black Africans [25-27,30]. These findings suggest that in populations that are at an earlier epidemiological transition stage, obesity may not as yet translate into atheroma. Whether this apparent lack of association between excess adiposity and ACVD is present in persons with RA from developing populations, is currently unknown. In the present study, we determined disparities in the relationships of obesity measures with atherosclerosis between women with RA from a developing black compared to a developed Caucasian population. In addition, we examined the potential role of different clinical obesity measures including BMI, waist circumference and waist-to-height and waist-to-hip ratios in assessing metabolic cardiovascular risk and ultrasonographically determined carotid artery atherosclerosis among women with RA.

Materials and methods

Study populations

We enrolled African black and Caucasian patients who met the American College of Rheumatology criteria for RA [31] at the Charlotte Maxeke Johannesburg Academic Hospital (public healthcare) and Milpark Hospital (private healthcare) in Johannesburg. None of the data have been reported previously. Four invited patients refused to enroll. Only 13 black African men with RA participated and hence to avoid confounding of the data analyses by gender differences between black and Caucasian patients with RA, the data analysis was performed in women only. Patients who had used disease modifying agents, that is, persons with established RA, were included and those known to be infected with HIV were excluded. The study was approved by the Ethics Committee for Research on Human Subjects (Medical) of the University of the Witwatersrand. Written informed consent was obtained from each patient.

Assessments

Using methods previously reported by us [3,14], we assessed sociodemographic characteristics, lifestyle factors, systolic and diastolic blood pressure, serum lipid and glucose concentrations, RA characteristics, markers of systemic inflammation including the erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP) concentrations and other potential cardiovascular risk factors comprising years of education, thyroid status and hormone replacement therapy. Exercise included hours spent in walking (for example, to reach public transportation). Data were missing in fewer than 5% for any of the recorded variables. Serum lipid and plasma glucose concentrations were determined on fasting blood samples using standard laboratory methods.

BAS (see acknowledgements) and AS performed the carotid artery ultrasound measurements in private and public healthcare patients, respectively. Both operators obtained images of at least 1 cm length of the distal common carotid arteries for measurement of the intima-media thickness of the far wall from an optimal angle of incidence defined as the longitudinal angle of approach where both branches of the internal and external carotid artery are visualized simultaneously [32] and with high resolution B-mode ultrasound (Image Point, Hewlett Packard, Andover, MA, USA and SonoCalc IMT, Sonosite Inc, Bothell, Wash, USA used by BAS and AS, respectively) employing linear array 7.5 MHz probes. The details of the methodology used by BAS were reported previously [3]. The equipment used by AS involves the application of a unique semi-automated border detection program that was previously found to provide highly reproducible results [32]. The intima-media thicknesses in the left and right common carotid artery were measured and the carotid intima-media thickness (cIMT) was defined as the mean of these. Carotid artery plaque was defined as a focal structure that encroaches into the arterial lumen of at least 0.5 mm or 50% of the surrounding intima-media thickness value, or demonstrates a thickness of > 1.5 mm as measured from the media-adventitia interface to the intima-lumen interface [33]. Both operators were blinded to the cardiovascular risk profiles of the patients. Repeat ultrasound examinations by both operators on 23 patients revealed Spearman correlations between repeat cIMT measurements of 0.983 and 0.956 for BAS and AS, respectively, and the correlation between measurements made by BAS and AS was 0.926. Both operators identified carotid artery bulb or/and internal carotid artery plaque in 11 of these 23 patients with full inter-observer agreement.

Height and weight were measured with participants wearing light clothing and no shoes and the BMI was calculated using these parameters. Waist circumference was measured at the umbilical level and hip at the level of the largest circumference. The adiposity measures included in our main data analysis comprised BMI as an indicator of overall obesity and waist circumference and waist-to-height and waist-to-hip ratios as abdominal obesity indices, respectively [20-22]. The relationships between waist-to-height ratio and incident ACVD and diabetes are reportedly most consistent across different population groups [22].

Statistical analysis

Continuous variables are reported as mean (SD) and categorical variables as proportions or percentages. Non-normally distributed characteristics were logarithmically transformed prior to statistical analysis and for these variables geometric means (SD) are given.

Disparities in sociodemographic features between African black and Caucasian women were compared using the Student t-test and univariate logistic regression analysis as appropriate. Relationships of population grouping (PG) with baseline characteristics, cIMT and carotid artery plaque and anthropometric measures were investigated in multivariate logistic and linear regression models as appropriate and with consistent adjusting for age and healthcare center attendance as well as lipid lowering, antihypertensive and glucose lowering agents in models that included lipid, systolic and diastolic blood pressure and glucose variables, respectively.

Disparities in the relationships of obesity measures with metabolic risk factors and with atherosclerosis in African black compared to Caucasian women were identified by assessing the associations of interactions between PG and obesity measures with metabolic risk factors and cIMT and plaque, respectively, in confounder and individual term adjusted multivariate regression models; when significant interactions were present, stratified analysis was performed.

Finally, we determined whether associations of obesity measures with carotid atherosclerosis as identified in the above mentioned analyses were independent of multiple non-metabolic risk factors and explained by metabolic risk factors in additional multivariate regression models.

Statistical computations were made using the GB Stat™ program (Dynamic Microsystems, Inc, Silverspring, Maryland, USA).

Results

Baseline characteristics and atherosclerosis in African black compared to Caucasian women with RA

Baseline characteristics and carotid atherosclerosis in African black and Caucasian women with RA are shown in Table 1. African black women were on average 2.1 years younger (P = 0.2) than their Caucasian counterparts. Approximately 97% of African black women and 80% of Caucasian women attended the public and private healthcare center, respectively (P < 0.0001). As compared to African Caucasian women and in confounder adjusted analysis, black women with RA had a smaller pack year history of smoking, used alcohol less often, exercised less, had lower total and HDL cholesterol concentrations but similar LDL cholesterol, triglycerides and non-HDL cholesterol concentrations as well as cholesterol÷HDL cholesterol and triglycerides÷HDL cholesterol ratios, higher plasma glucose concentrations, more deformed joints, higher ESRs and lower educational levels. Ever prednisone use was similar in African black and Caucasian women in univariate (P = 0.94) and adjusted analysis (P = 0.08, see Table 1). The small proportion of current prednisone users reflects our previously reported increasing avoidance of this intervention [24].

Table 1.

Baseline characteristics and atherosclerosis in Caucasian and black women with RA

Characteristic Caucasian women
(n = 95)		 Black women
(n = 108)		 P a
Sociodemographics
 Age, years 57.5 (11.7) 55.4 (10.0) ...
 Public healthcare (%) 18.9 97.2 ...
Lifestyle factors
 Pack year history smoking, n 2.4 (5.0) 0.1 (1.5) 0.003
 Current smoking (%) 9.6 1.9 0.04
 Never smoking (%) 90.7 58.5 0.01
 Former smoking (%) 31.9 8.4 0.01
 Alcohol use (%) 34.0 1.9 < 0.0001
 Exercise, hours per weekb, n 0.7 (2.1) 0.6 (1.9) 0.04
Blood pressure
 Systolic blood pressure, mmHg 128 (17) 140 (24) 0.5
 Diastolic blood pressure, mmHg 78 (9) 85 (15) 0.1
Lipids
 Total cholesterol, mmol/l 5.1 (1.0) 4.7 (0.9) 0.02
 LDL cholesterol, mmol/l 2.8 (0.9) 2.6 (0.8) 0.5
 HDL cholesterolb, mmol/l 1.7 (1.3) 1.5 (1.3) 0.002
 Cholesterol÷HDL cholesterol 3.1 (1.0) 3.3 (1.1) 0.1
 Triglyceridesb, mmol/l 1.1 (1.5) 1.1 (1.7) 0.8
 Triglycerides÷HDL cholesterolb 0.6 (1.8) 0.7 (2.1) 0.1
 Non-HDL cholesterol 3.3 (1.0) 3.2 (0.9) 0.5
Glucoseb, mmol/l 4.7 (1.2) 5.2 (1.4) 0.02
Diabetes mellitus (%) 4.2 16.7 0.3
RA characteristics
 Disease duration, years 12.7 (9.1) 14.8 (9.4) 0.6
 Rheumatoid factor positive (%) 73.4 75.9 0.8
 DAS28 3.5 (1.5) 4.1 (1.3) 0.5
 Deformed jointsb, n 4 (4) 7 (3) 0.05
 Prednisone use ever (%) 43.2 42.6 0.08
 Current prednisone use (%) 4.2 1.9 0.07
 Current DMARD, n 2.1 (0.9) 2.5 (1.0) 0.4
 Current methotrexate use (%) 77.9 91.7 0.9
 Current chloroquine use (%) 47.4 77.8 0.2
Systemic inflammation
 Erythrocyte sedimentation rateb, mm/hr 7 (3) 21 (3) 0.007
 C-reactive proteinb, mg/l 3.9 (3.6) 7.5 (3.1) 0.5
Cardiovascular drugs
 Antihypertensive agent use (%) 43.2 55.6 0.07
 Oral glucose lowering agent use (%) 4.2 13.9 0.03
 Insulin use (%) 1.1 2.0 0.6
 Statin use (%) 36.8 18.5 0.03
 Ezetimibe use (%) 2.1 0 ...
Other
 Education, years 12.7 (2.7) 7.5 (4.1) 0.002
 Hypothyroidismc (%) 34.7 6.5 0.2
 Hormone replacement therapy (%) 17.9 5.6 0.8
Atherosclerosis
 cIMT, mm 0.689 (0.117) 0.691 (0.099) 0.6
 Plaque (%) 36.8 35.2 0.5
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Results are expressed as mean (SD) or proportions/percentages. aP for comparison between black and Caucasian women with RA after adjustment for age and healthcare as well as lipid lowering and antihypertensive agents in models that include lipid and blood pressure variables, respectively; bnon-normally distributed variable for which geometric mean (SD) is given; c includes subclinical and overt hypothyroidism and diagnosed when serum thyrotropin level was > 4.94 mU/L or when thyroid hormone replacement therapy was used. cIMT, common carotid artery intima-thickness; DAS28, Disease Activity Score in 28 joints; DMARD, disease modifying agents for rheumatic disease; n, number of; RA, rheumatoid arthritis.

Anthropometric measures in African black compared to Caucasian women with RA

The anthropometric measures in African black and Caucasian women with RA are shown in Table 2. In age and healthcare center adjusted analysis, African black women had higher body weight, BMI and waist-to-height ratio compared to their Caucasian counterparts; by contrast, height, waist circumference, hip circumference and the waist-to-hip ratio were similar in both groups.

Table 2.

Anthropometric measures in Caucasian and black women with RA

Anthropometric measures Caucasian women
(n = 95)		 Black women P a
(n = 108)
Height, cm 163 (7) 159 (7) 0.08
Body weight, kg 67.2 (15.2) 75.8 (16.3) 0.03
BMI, kg/m2 25.3 (4.9) 29.9 (6.6) 0.002
Waist circumference, cm 87 (13) 94 (14) 0.06
Waist÷height 0.53 (0.08) 0.59 (0.09) 0.01
Hip circumferenceb 101 (1) 110 (1) 0.2
Waist÷hip 0.84 (0.08) 0.85 (1.12) 0.4
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Results are expressed as mean (SD). aP-value adjusted for age and healthcare center; b non-normally distributed variable for which geometric mean (SD) is given. BMI, body mass index; RA, rheumatoid arthritis.

Relationships of obesity measures with metabolic risk factors in African black and Caucasian women with RA

The relationships between obesity measures and metabolic risk factors in all women with RA are shown in Table 3. Potentially confounding characteristics that were included as independent variables in the respective regression models comprised age, healthcare center, lifestyle factors (smoking variable was pack-year history of smoking), current disease activity (DAS28), cumulative disease activity (deformed joints), prednisone use, hypothyroidism and hormone replacement therapy as well as antihypertensive, lipid and glucose lowering agents upon entering of blood pressure, lipid and glucose parameters, respectively. Interactions between PG and obesity measures were consistently unrelated to metabolic risk factors and therefore no stratified analysis was performed. BMI was associated with blood pressure variables but not with serum lipid concentrations. By contrast, waist circumference and waist-to-height and waist-to-hip ratios were related to serum lipid concentrations but not to blood pressure values. Obesity measures that were associated with plasma glucose concentrations comprised BMI, waist circumference and waist-to-height ratio.

Table 3.

Associations between obesity measures and metabolic risk factors in 203 African women with RA

Metabolic risk factor Obesity measure
BMI Waist Waist÷height Log waist÷hip
Systolic blood pressure 0.23 (0.09 to 0.37)a 0.11 (-0.01 to 0.25) 0.09 (-0.06 to 0.24) -0.05 (-0.16 to 0.07)
Diastolic blood pressure 0.29 (0.15 to 0.43)b 0.13 (-0.13 to 0.28) -0.05 (-0.18 to 0.26) 0.10 (-0.05 to 0.09)
Log triglycerides 0.11 (-0.06 to 0.25) 0.27 (0.14 to 0.41)b 0.28 (0.13 to 0.43)b 0.14 (0.00 to 0.29)
Log HDL cholesterol -0.02 (-0.19 to 0.14) -0.22 (-0.33 to -0.08)b -0.20 (-0.36 to -0.04)a -0.21 (-0.35 to -0.07)b
Log glucose 0.16 (0.02 to 0.27)a 0.15 (0.01 to 0.30)a 0.18 (0.04 to 0.33)a 0.02 (-0.10 to 0.13)
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Results are expressed as standardized regression coefficients (95% confidence interval) in multivariable models in which age, healthcare center, lifestyle factors, current disease activity (DAS28), cumulative disease activity (log deformed joints), prednisone use, hypothyroidism and hormone replacement therapy as well as antihypertensive, lipid and glucose lowering agents upon entering of blood pressure, lipid and glucose parameters as independent variables, respectively, were controlled for. Significant associations are shown in bold. aP-value < 0.05; bP-value < 0.01. BMI, body mass index; HDL, high-density lipoprotein; Log, logarithmically transformed.

The selection of confounders modeled in the analysis shown in Table 3 was based on biological plausibility and not data driven. The associations of these characteristics with obesity measures in African black and Caucasian women are shown in Table 4. Age, smoking history, deformed joints and cardiovascular drugs were each associated with obesity measures in African black or/and Caucasian women. Additionally, there were several disparities in these relationships between African black and Caucasian participants. Age was associated with a high waist-to-hip ratio and smoking with a high BMI, waist circumference and waist-to-height ratio in African Caucasian but not in black women. By contrast, the number of deformed joints was associated with a low BMI, waist circumference and waist-to-height ratio in African black but not in Caucasian women.

Table 4.

Associations between obesity measures and non-metabolic risk factors in African black and Caucasian women with RA

Non-metabolic risk factor Obesity measure
BMI Waist Waist÷height Log waist÷hip
Black Caucasian Interaction Black Caucasian Interaction Black Caucasian Interaction Black Caucasian Interaction
P-value P-value P-value P-value
Age -0.09 -0.10 0.9 -0.10 -0.01 0.4 -0.04 0.10 0.6 -0.09 0.38b 0.004
Public healthcare -0.05 0.07 0.4 -0.08 -0.01 0.3 -0.04 0.13 0.4 -0.07 -0.04 0.5
L py history smoking -0.16 0.22a 0.03 -0.14 0.27a 0.05 -0.15 0.25a 0.048 0.08 0.18 0.6
Alcohol use 0.07 0.05 0.08 0.06 0.07 0.04 0.03 0.06 0.08 -0.08 -0.02 0.5
Exercise -0.00 -0.07 0.7 0.05 -0.12 0.2 0.06 -0.16 0.1 -0.03 -0.04 0.9
DAS28 -0.06 0.19 0.2 0.03 0.11 0.5 0.03 0.16 0.4 -0.04 0.07 0.4
L deformed joints -0.25a -0.15 0.2 -0.32b -0.06 0.01 -0.28b -0.08 0.036 -0.11 -0.10 0.2
Prednisone use -0.10 -0.07 0.6 -0.15 0.02 0.2 -0.16 -0.05 0.5 -0.09 0.05 0.4
Hypothyroidism -0.11 0.16 0.1 0.04 0.08 0.9 -0.04 0.11 0.4 0.05 0.03 0.7
HRT 0.04 -0.06 0.6 -0.02 -0.07 0.8 -0.04 -0.07 0.9 -0.09 -0.04 0.5
Anti-HTA use 0.15 0.35b 0.5 0.23a 0.30† 0.5 0.19 0.29b 0.6 0.00 0.23a 0.039
Statin use 0.10 0.30b 0.4 0.10 0.29b 0.8 0.05 0.28b 0.2 0.06 0.06 0.8
Ezetimibe use ... 0.17 ... ... 0.08 ... ... 0.11 ... ... 0.02 ...
OHA use 0.27b 0.25a 0.5 0.31b 0.25a 0.5 0.29b 0.26a 0.7 0.00 0.14 0.3
Insulin therapy 0.25b -0.05 0.06 0.26a -0.03 0.07 0.30b -0.05 0.042 0.09 0.03 0.6
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Results are expressed as standardized regression coefficients in univariate analysis for the relationships between obesity measures and age and public healthcare and in age and public healthcare adjusted analysis for the associations between obesity measures and the other non-metabolic risk factor measures. Significant associations are shown in bold. aP-value < 0.05, bP-value < 0.01. BMI, body mass index; DAS28, Disease Activity Score in 28 joints; HRT, hormone replacement therapy; HTA, hypertensive agent; Log, logarithmically transformed; L, logarithmically transformed; OHA, oral hypoglycemic agent; py, pack year.

Relationships of obesity measures with carotid artery atherosclerosis in African black and Caucasian women with RA

Due to consistent differences in the relationships of obesity measures with cIMT and carotid artery plaque between African black and Caucasian women with RA (see below), the respective measures were not associated with atherosclerosis upon analysis of the data in all patients or African black and Caucasian women combined.

Results of age and health care adjusted stratified analyses for cIMT are shown in Figure 1. The association of waist-to-height ratio with cIMT differed in African black compared to Caucasian women (P for interaction < 0.003). BMI was significantly related to cIMT in African Caucasian women. By contrast, none of the obesity measures were associated with cIMT among African black women.

Figure 1.

Figure 1

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Obesity measure - carotid intima-media thickness relations in African women with RA. Disparities in the relationships of obesity measures with ultrasonographically determined carotid artery intima-media thickness between black and Caucasian women with RA after adjustment for age and healthcare (model 1), age, healthcare and non-metabolic risk factors including lifestyle factors, current disease activity (DAS28), cumulative disease activity (deformed joints), prednisone use, hypothyroidism, hormone replacement therapy and cardiovascular drug use (model 2) and age, healthcare center and metabolic risk factors comprising systolic and diastolic blood pressure and HDL cholesterol, triglyceride and glucose concentrations (model 3). Open and closed circles and their horizontal crossing lines represent the odds ratios and 95% confidence intervals for the relationships in Caucasian and black women, respectively. BMI, body mass index; CI, confidence interval; cIMT, carotid intima-media thickness; DAS28, Disease Activity Score in 28 joints; HDL, high density liporotein; ht, height; RA, rheumatoid arthritis; Sβ, standardized regression coefficient.

Results of age and health care adjusted stratified analyses for plaque are shown in Figure 2. The associations of each obesity measure with carotid artery plaque differed in African black compared to Caucasian women (P for interaction < 0.05). Waist-to-hip ratio was significantly related to carotid artery plaque in African Caucasian women whereas none of the obesity measures were associated with carotid artery plaque in black women.

Figure 2.

Figure 2

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Obesity measure - carotid plaque relations in African women with RA. Disparities in the relationships of obesity measures with ultrasonographically determined carotid artery plaque between black and Caucasian women with RA after adjustment for age and healthcare (model 1), age, healthcare and non-metabolic risk factors including lifestyle factors, current disease activity (DAS28), cumulative disease activity (deformed joints), prednisone use, hypothyroidism, hormone replacement therapy and cardiovascular drug use (model 2) and age, healthcare center and metabolic risk factors comprising systolic and diastolic blood pressure and HDL cholesterol, triglyceride and glucose concentrations (model 3). Open and closed circles and their horizontal crossing lines represent the odds ratios and 95% confidence intervals for the relationships in Caucasian and black women, respectively. BMI, body mass index; CI, confidence interval; DAS28, Disease Activity Score in 28 joints; HDL, high density liporotein; ht, height; OR, odds ratio; RA, rheumatoid arthritis.

Impact of adjustment for multiple non-metabolic and metabolic risk factors on anthropometric measure - atherosclerosis relations in African Caucasian women with RA

As shown in the Figures, upon adjustment for age, healthcare center and non-metabolic risk factors including lifestyle factors (smoking variable was pack-year history of smoking), current disease activity (DAS28), cumulative disease activity (deformed joints), prednisone use, hypothyroidism, hormone replacement therapy and use of cardiovascular drugs, the associations of BMI with cIMT (Figure 1) and of waist-to-hip ratio with carotid plaque (Figure 2) were not materially altered. By contrast, upon adjusting for sociodemographic characteristics and metabolic risk factors comprising systolic and diastolic blood pressure and HDL cholesterol, triglyceride and glucose concentrations, the associations of BMI with cIMT and waist-to-hip ratio with plaque were markedly attenuated. Further, in African black women, a high waist-to-height ratio was significantly associated with a small cIMT (Figure 1).

Discussion

In this study, African black women with RA that form part of a developing population sustained a markedly increased adiposity burden compared to their Caucasian counterparts. The associations of obesity measures with metabolic risk factors were as strong in African black compared to Caucasian women with RA. By contrast, obesity measures were not related to carotid atherosclerosis in African black women with RA whereas BMI and the waist-to-hip ratio were associated with atherosclerosis among Caucasian women who belong to a developed population and these relationships were explained by metabolic risk factors.

Relationships between adiposity measures and cardiovascular risk and disease could be expected to be stronger in patients with RA compared to non-RA subjects. In non-RA subjects, a high BMI can reflect an increased body fat mass or a large muscle mass, factors that are each associated with opposite outcomes in cardiovascular disease [19]. However, Stavropoulos-Kalinoglou and colleagues recently reported that patients with RA experience a 4.3% increase in body fat mass for a given BMI compared to healthy individuals [34]. This is most probably attributable to the presence of rheumatoid cachexia that affects nearly two thirds of patients with RA [15-17,34].

The most striking finding in our analysis was revealed upon analyzing the associations of obesity measures with carotid artery plaque among African black women with RA. For each of the adiposity measures, the OR for plaque per 1 SD increase in obesity measure was between 1.00 and 1.03 and the 5 to 95% confidence intervals were very small (see Figure 2). This evident consistent lack of relationships between obesity measures and atherosclerosis could not be attributed to reduced metabolic cardiovascular risk in African black women with RA. Indeed, BMI and waist-to-height ratio were higher in African black compared to Caucasian women and the associations of obesity measures with metabolic risk factors were similar in both groups. Ultrasonographically determined carotid artery plaque is associated with a 10-year cardiovascular event rate risk of 39% in non-RA subjects [35] and reportedly predicts incident ACVD in patients with RA irrespective of population origin [36,37]. Our findings indicate that excess adiposity in patients with RA from developing groups of black African descent does not as yet translate in severe atherosclerosis as reflected by the presence of plaque (see below). Alternatively or additionally, genetic differences between the African black and Caucasian populations may underlie our findings. Indeed, in studies that included African black and European subjects, a differential ethnic distribution of genetic polymorphisms that are associated with obesity [38] as well as those related to cardiovascular disease [39] were found. Either way, our results are congruous with the distinctly low ACVD event rates despite highly prevalent obesity as reported in non-RA African black women [25-30]. Further, the data analysis in the present study indicates that the presence of RA does not alter this current absence of adiposity related atheroma.

Our observation that obesity measures were also not associated with increased cIMT among African black women with RA further substantiates the absence of excess adiposity-related atherogenesis in this patient population. In addition, the waist-to-height and waist-to-hip ratios tended (P = 0.09 and 0.1, respectively) to be negatively associated with cIMT and the waist-to-height ratio was significantly (P = 0.02) and negatively associated with cIMT upon adjustment for metabolic risk factors. This finding is reminiscent of the reported paradoxical inverse relationships between BMI and ACVD mortality as reported in patients with RA from developed populations [15]. Important potential confounders in this context are smoking and the use of cardiovascular drugs [18]. The latter variables did not alter the relationships of waist-to-height and waist-to-hip ratios with cIMT in the present investigation.

The burden of atherosclerosis was as extensive in African black compared to Caucasian women with RA in this study. These results indicate that systematic cardiovascular risk assessment should be performed irrespective of adiposity extent in African black women with RA.

Published reports on the associations between obesity measures and atherosclerosis in patients with RA, even in those that form part of developed populations, are limited. In African Caucasian women with RA, we found relationships of obesity measures with cIMT and internal carotid artery and carotid artery bulb plaque. cIMT and plaque constitute different phenotypes of atherosclerosis and are biologically and genetically distinct [40-45]. The cIMT constitutes approximately 80% media and approximately 20% intima [41]. Intima-media thickening results mostly from adaptive responses of medial cells to blood pressure and age [41] and is associated with stroke risk factors and stroke prevalence [43-45]. On the other hand, carotid artery plaque occurs as a consequence of intimal pathology [40] and reflects an advanced stage of atherosclerosis that is more closely related to coronary artery disease risk factors and coronary heart disease prevalence [41,43]. Importantly also in the present context, the INTERHEART study investigators found that waist-to-hip ratio was more strongly associated with myocardial infarction than BMI [21] whereas in another recent large study performed in Finland and reported by Hu and colleagues, BMI but not waist-to-hip ratio enhanced the risk for stroke among female participants [46]. Our results in African Caucasian women with established RA are in keeping with these reported findings in that BMI was associated with blood pressure and cIMT whereas waist-to-hip ratio was related to lipids and plaque. In addition, metabolic cardiovascular risk factors explained the relationships of adiposity measures with carotid atherosclerosis thereby supporting the presence of an obesity effect. A differential effect among the individual metabolic risk factors on the associations of BMI with cIMT and waist-to-hip ratio with plaque could not be assessed as lipid characteristics and blood pressure variables were collinear (data not shown). Taken together, our results indicate that in patients with established RA from a developed population, BMI and waist-to-hip ratio are associated with different metabolic risk factor profiles, reflect different aspects of carotid artery atherosclerosis and, therefore, both can be helpful in ACVD risk assessment.

Our study has further limitations. Our patients were exclusively women and the cross-sectional design of our investigation precludes drawing inferences on the direction of causality. Further, characteristics that can be important in the present context and were not recorded include menopausal status and cumulative prednisone dose. Also, clinical measures of abdominal obesity do not distinguish between visceral and subcutaneous fat. Imaging studies (for example, computerized tomography) will be needed to determine the relative impact of visceral as compared to deep and superficial subcutaneous fat at the abdominal level on atherogenesis in patients with RA [47,48]. Visceral fat is particularly strongly associated with ACVD risk [20-22]. Circulating triglyceride concentrations reflect visceral fat mass [29] and these did not differ in African black compared to Caucasian women with RA in the current investigation. Finally, as applies in previously reported investigations on cardiovascular risk in non-RA as well as RA subjects, many relationships were evaluated. However, our main findings each originate in confounder adjusted multivariable regression models.

Conclusions

Although women with established RA from developing groups of African descent experience a larger obesity burden compared to their Caucasian counterparts, this is currently not as yet associated with enhanced carotid atherosclerosis. Additionally and contrastingly, we report for the first time evidence that supports the use of clinical obesity measures including BMI and waist-to-hip ratio in the assessment of ACVD and risk among Caucasian women with established RA from a developed population.

Abbreviations

ACVD: atherosclerotic cardiovascular disease; β: regression coefficient; BMI: body mass index; CI: confidence interval; cIMT: carotid intima-media thickness; CRP: C-reactive protein; DAS 28: disease activity in 28 joints; DMARD: disease modifying drugs for rheumatic disease; ESR: erythrocyte sedimentation rate; HDL: high density lipoprotein; LDL: low density lipoprotein; PG: population grouping; OR: odds ratio; RA: rheumatoid arthritis; S and Std: standardized; SD: standard deviation.

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

AS contributed to the conception and design, data acquisition, interpretation of the data and revising the manuscript and performed the carotid ultrasound examinations in public healthcare patients. GRN and AJW contributed to the conception and design and analysis and interpretation of the data. PHD contributed to the conception and design and data acquisition, performed the statistical analysis and drafted the manuscript. All authors read and approved the final manuscript.

Contributor Information

Ahmed Solomon, Email: ahmed.solomon@wits.ac.za.

Gavin R Norton, Email: gavin.norton@wits.ac.za.

Angela J Woodiwiss, Email: angela.woodiwiss@wits.ac.za.

Patrick H Dessein, Email: Dessein@telkomsa.net.

Acknowledgements

We thank Belinda A Stevens for performing the carotid ultrasound examinations in private healthcare patients. The study was supported by the South African Medical Research Council.

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