Rheumatoid arthritis (RA) and metabolic syndrome (Mets) are considered to be diseases with common traits that can increase the risk of cardiovascular disease incidence; studies in other countries examined the relationship between these diseases. However, existing studies did not show consistent results. In the present study, the relationship between RA and Mets in Koreans was examined using the data of the 4th and 5th Korea National Health and Nutrition Examination Survey (KNHANES).
The present study used the data of the 4th and 5th KNHANES, conducted between 2007 and 2012. Among 25,812 adults aged over 40, 19,893 were selected as study subjects, excluding 5,919 who did not have variable information needed for the analysis. T-test and chi-square test were used for the analysis of related variables. To determine the relationship between diagnostic status of RA and Mets, multivariate logistic regression analysis was performed by controlling confounding variables, which were selected through literature review and statistical analysis.
Multivariate logistic regression analysis was conducted to examine the relationship between diagnostic status of RA and Mets. When age, education level, average monthly household income, smoking, alcohol consumption, and level of physical activity were adjusted, the prevalence of Mets was lower in RA patients (adjusted odds ratio [aOR], 0.79; 95% confidence interval [CI], 0.65 to 0.96). Multivariate logistic regression analysis was performed to examine the relationship between treatment status of RA and Mets. When age, education level, average monthly household income, smoking, alcohol consumption, and level of physical activity were adjusted, there was a significant negative correlation in women (aOR, 0.65; 95% CI, 0.44 to 0.96).
The relationship between RA and Mets showed a significantly negative correlation in Korean women. The group that received RA treatment showed significantly lower prevalence of the Mets as compared to the untreated group in Korean RA women.
Rheumatoid arthritis has a prevalence rate of approximately 0.5% to 1%, although it differs according to race and region, and occurs 5 times more frequently in women than in men.
Metabolic syndrome is a group of risk factors for type 2 diabetes and cardiovascular diseases, including insulin resistance, abdominal obesity, dyslipidemia, hypertension, and impaired fasting glucose, incorporated into a single disease group, and is used as a predictor of life expectancy.
A study conducted on Koreans showed that the prevalence rate of metabolic syndrome increased from 24.9% in 1998 to 31.3% in 2007. The causes of this increase are likely due to an increase in Western dietary habits and a decreased level of physical activity. Because the increased prevalence of metabolic syndrome threatens public health and increases medical costs, correcting lifestyle and metabolic syndrome indices in these patients is critical.
Rheumatoid arthritis and metabolic syndrome are considered to be diseases with common traits that can increase the risk of cardiovascular disease incidence; studies in other countries examined the relationship between these diseases.
There have been no studies analyzing the relationship between these two diseases in Koreans using a large-scale database such as the Korea National Health and Nutrition Examination Survey (KNHANES). In the present study, the relationship between rheumatoid arthritis and metabolic syndrome in Koreans was examined using the data of the 4th and 5th KNHANES.
The KNHANES extracts approximately 10,000 populations from 20 households in 192 regions using systematic sampling, and conducts examination, health questionnaire, and nutrition surveys. In the examination survey, the prevalence of chronic diseases such as obesity, hypertension, diabetes, and dyslipidemia is determined through physical and blood pressure measurement, and muscle strength, blood, and urine testing. The health questionnaire is divided into a survey conducted by examiners through individual interviews, and it is used to collect data on education level, economic activity, morbidity, medical use, and quality of life; and a self-administered health behavior survey on smoking, alcohol consumption, and mental health. A nutrition survey includes questions about food consumption one day before the survey.
The present study used the data of the 4th and 5th KNHANES, conducted between 2007 and 2012. Among 25,812 adults aged over 40, 19,893 were selected as study subjects, excluding 5,919 who did not have variable information needed for the analysis. The 5,919 adults who were excluded from the study included 2,678 who did not have data for each component of the metabolic syndrome, 401 who did not report diagnostic status of rheumatoid arthritis, and 2,840 whose surveys for confounding variables such as education level, average monthly household income, physical activity, smoking, and alcohol consumption were missing (
Among health behavior-related variables, physical activity was classified following the guideline of the 2005 International Physical Activity Questionnaire (2005 IPAQ guideline). Based on the guideline, the high-level physical activity group was defined as performing vigorous physical activity more than 3 days a week at an exercise level of 1,500 metabolic equivalent (MET) s, or more than 3,000 METs of exercise level including walking and moderate or vigorous-intensity exercise more than 7 days a week. The moderate-level physical activity group was defined as performing intense activity more than 20 minutes more than 3 days a week, performing moderate intensity exercise or walking for more than 30 minutes each time and more than 5 days a week, or achieving 600 MET of exercise level with walking or activity with moderate or vigorous intensity. The low-level physical activity group was defined as not belonging either of the two other groups.
The subjects were divided into nonsmokers, past smokers, and current smokers. Alcohol consumption was divided into 4 groups according to the average amount of alcohol (g/d) consumed daily by subjects through analysis of a self-administered survey from KNHANES: none (less than 1 g/d), light (1–14.99 g/d), moderate (15–29.99 g/d), and heavy (above 30 g/d).
Metabolic syndrome was defined as having 3 or more of the following, according to the definition of the American Heart Association/National Heart Lung and Blood Institute: waist circumference above 90 cm for men and above 85 cm for women; blood triglycerides higher than 150 mg/dL; high density lipoprotein cholesterol below 40 mg/dL for men and below 50 mg/dL for women; systolic blood pressure higher than 130 mm Hg or diastolic blood pressure higher than 85 mm Hg, or when diagnosed with hypertension; and fasting blood glucose higher than 100 mg/dL, or when diagnosed with diabetes.
STATA ver. 13.1 for Windows (Stata Co., College Station, TX, USA) was used for statistical analysis. T-test and chi-square test were used for the analysis of related variables. To determine the relationship between diagnostic status of rheumatoid arthritis and metabolic syndrome, multivariate logistic regression analysis was performed by controlling confounding variables, which were selected through literature review and statistical analysis.
Of 19,893 study subjects, there were 8,224 men and 11,669 women; 1.4% (110) of men and 4.2% (488) of women had rheumatoid arthritis. The average age was 63.6 for patients with rheumatoid arthritis and 58.4 for the control group. Among sociodemographic variables and health risk factors, age, education level, physical activity, alcohol consumption, and smoking showed a significant difference, while among metabolic syndrome indices, waist circumference, systolic blood pressure, diastolic blood pressure, and fasting blood glucose showed a significant difference (
Multivariate logistic regression analysis was conducted to examine the relationship between diagnostic status of rheumatoid arthritis and metabolic syndrome. When age was adjusted in women, there was a negative correlation (aOR, 0.82; 95% CI, 0.67 to 0.99) When age, education level, average monthly household income, smoking, alcohol consumption, and level of physical activity were adjusted, the prevalence of metabolic syndrome was lower in rheumatoid arthritis patients (aOR, 0.79; 95% CI, 0.65 to 0.96). No significant correlation was observed in men (
Of 598 patients diagnosed with rheumatoid arthritis, the average age was 65.8 for 218 patients with metabolic syndrome and 62.4 for 380 patients without metabolic syndrome. There were differences in age, body mass index (BMI), level of physical activity, alcohol consumption, smoking, and treatment status of rheumatoid arthritis; differences were especially significant according to age and BMI (
Multivariate logistic regression analysis was performed to examine the relationship between treatment status of rheumatoid arthritis and metabolic syndrome. When age was adjusted in women, there was a negative correlation (odds ratio [OR], 0.66; 95% CI, 0.45 to 0.97); when age, education level, average monthly household income, smoking, alcohol consumption, and level of physical activity were adjusted, there was a significant negative correlation in women (aOR, 0.65; 95% CI, 0.44 to 0.96). No significant correlation was observed in men (
This study is the first to examine the relationship between rheumatoid arthritis and metabolic syndrome in Koreans using data from KNHANES. Our study showed that prevalence of metabolic syndrome was significantly lower in female patients with rheumatoid arthritis than in the control group, when age, education level, average monthly household income, smoking, alcohol consumption, and level of physical activity were adjusted. This is in contrast with a study result by da Cunha et al.
The relationship between the treatment status of rheumatoid arthritis and metabolic syndrome was analyzed as a subcategory, and multivariate logistic regression analysis after adjusting for age, education level, average monthly household income, smoking, alcohol consumption, and level of physical activity showed a significant negative correlation in women (aOR, 0.65; 95% CI, 0.44 to 0.96). This result is consistent with the study result by Toms et al.,
As previously stated, the inflammatory response initiated in joint tissues in rheumatoid arthritis patients is known to act on adipose tissue, skeletal muscle, the liver, and the endangium through the systemic circulation, and increases the prevalence of cardiovascular disease through increased insulin resistance, dyslipidemia, and destruction/transformation of the endangium. Therefore, efforts to prevent cardiovascular disease are crucial in patients with rheumatoid arthritis. When the level of physical activity was compared in the present study, the percentage of exercise higher than moderate level according to the IPAQ classification was 55.5% in patients with rheumatoid arthritis and 60.6% in the control group, showing that the level of physical activity was significantly lower in patients with rheumatoid arthritis (P=0.004). Although the level of physical activity plays an important role in the life expectancy for all adults, a decrease in physical activity in patients with rheumatoid arthritis is an especially important risk factor that can lead to increased mortality from cardiovascular disease, and intervention is deemed necessary from a treatment perspective.
The BMI was 23.8 kg/m2 in the patient group with rheumatoid arthritis and 24.0 kg/m2 in the control group, showing no significant difference; however, waist circumference was 82.0 cm in the patient group with rheumatoid arthritis, showing a significant decrease compared to 82.9 cm in the control group (P=0.019). According to Kerekes et al.,
The present study has a limitation as an observational study, in that a causal relationship between variables cannot be determined. In addition to independent variables such as rheumatoid arthritis and metabolic syndrome, whether the confounding variables used for the analysis of health behavior in study subjects, such as smoking, alcohol consumption, and level of physical activity, were preexisting health behaviors or changes that occurred after morbidity of disease, could not be determined. Furthermore, as the type of treatment was not clearly described, it was difficult to analyze the correlation between metabolic syndrome and the treatment status with a particular therapeutic agent. Because the severity of rheumatoid arthritis in each patient could not be determined from the KNHANES data alone, it was unclear in the analysis of physical activity in patients with rheumatoid arthritis which factors affected the decrease in physical activity.
If instruments that can objectively evaluate the severity of rheumatoid arthritis, such as DAS28 (Disease Activity Score 28) or HAQ-DI (Health Assessment Questionnaire-Disability Index for rheumatoid arthritis) are included in a future study, determining the relationship of metabolic syndrome with severity of disease, level of physical activity, and morbidity may be possible.
Despite these limitations, the prevention of cardiovascular disease and removal of risk factors are as important as studies on the relationship between metabolic syndrome and rheumatoid arthritis in extending the life span of patients with rheumatoid arthritis. The present study investigated an association between the two diseases using the KNHANES data, which has not previously been reported. We confirmed that the prevalence of metabolic syndrome among patients with rheumatoid arthritis was lower in the group who received treatment than in those who did not. In the future, through studies of patient control groups and cohort studies, the effects of specific therapeutic agents such as MTX on the incidence of metabolic syndrome in rheumatoid arthritis need to be examined.
Values are presented as mean±standard deviation or number (%). BMI was calculated as weight in kilograms divided by height in meters squared.
RA, rheumatoid arthritis; BMI, body mass index; MET, metabolic equivalent.
*From a T-test for continuous outcomes and chi-square test for binary outcomes comparing a difference between any of the 2 study groups. †Categorical variable from the International Physical Activity Questionnaire Research Committee: low, no activity is reported or some activity is reported but not enough to meet categories 2 or 3; moderate, either of the following 3 criteria (3 or more days of vigorous activity of at least 20 minutes per day; 5 or more days of moderate-intensity activity and/or walking of at least 30 minutes per day; 5 or more days of any combination of walking, moderate-intensity, or vigorous intensity activities achieving a minimum of at least 600 MET-minutes/wk); high, any one of the following 2 criteria (vigorous-intensity activity on at least 3 days and accumulating at least 1,500 MET-minutes/wk; 7 or more days of any combination of walking, moderate- or vigorous-intensity activities accumulating at least 3,000 MET-minutes/wk). ‡None<1, light 1–14.99, moderate 15–29.99, and heavy ≥30 g/d.
MetS, metabolic syndrome; RA, rheumatoid arthritis; OR, odds ratio; CI, confidence interval; aOR, adjusted odds ratio.
*Adjusted for age and sex in total; adjusted for age in male and female. †Adjusted for age, sex, education level, household income, smoking status, alcohol consumption, and level of physical activity in total; adjusted for age, education level, household income, smoking status, alcohol consumption, and level of physical activity in male and female.
Values are presented as mean±standard deviation or number (%). BMI was calculated as weight in kilograms divided by height in meters squared.
RA, rheumatoid arthritis; MetS, metabolic syndrome; BMI, body mass index; MET, metabolic equivalent.
*From a T-test for continuous outcomes and chi-square test for binary outcomes comparing a difference between any of the 2 study groups. †Categorical variable from the International Physical Activity Questionnaire Research Committee: low, no activity is reported or some activity is reported but not enough to meet categories 2 or 3; moderate, either of the following 3 criteria (3 or more days of vigorous activity of at least 20 minutes per day; 5 or more days of moderate-intensity activity and/or walking of at least 30 minutes per day; 5 or more days of any combination of walking, moderate-intensity, or vigorous intensity activities achieving a minimum of at least 600 MET-minutes/wk); high, any one of the following 2 criteria (vigorous-intensity activity on at least 3 days and accumulating at least 1,00 MET-minutes/wk; 7 or more days of any combination of walking, moderate- or vigorous-intensity activities accumulating at least 3,000 MET-minutes/wk. ‡None <1, light 1–14.99, moderate 15–29.99, and heavy ≥30 g/d.
Mets, metabolic syndrome; RA, rheumatoid arthritis; OR, odds ratio; CI, confidence interval; aOR, adjusted odds ratio.
*Adjusted for age and sex in total; adjusted for age in male and female. †Adjusted for age, sex, education level, household income, smoking status, alcohol consumption, and level of physical activity in total; adjusted for age, education level, household income, smoking status, alcohol consumption, and level of physical activity in male and female.