Exploration of Inflammatory Biomarkers and Psychological Cardiovascular Disease Risk Factors Among Community Dwelling Adults: A Gender Comparison Study

Abstract

Patients with rheumatic disease (RD) are at high risk for cardiovascular disease (CVD), which is the leading non-communicable chronic disease cause of death worldwide. Inflammatory biomarkers and psychological health status are reliable predictors of CVD in patients with RD. The primary aim of this study was to compare the inflammatory biomarkers and psychological CVD risk factors (CRFs) between a group of community-dwelling adults with RD and CRFs and a group of their peers with CRFs only. The secondary aim of this study was to analyze and compare the collected data by gender in the RD group. Data were collected and analyzed from 355 participants, with the 135 participants with physician-diagnosed RD assigned to the RD group and the remainder ( n = 220) assigned to the comparison group. The measures used included a demographic datasheet, medical information, serum homocysteine (Hcy) levels, high sensitive C-reactive protein (hs-CRP) levels, and depression and global sleep-quality scale scores. The RD group had higher ratios of hypertension and depression diagnoses than the comparison group. The gender analysis of the RD group found significantly more-severe sleep disturbances in women than men and a significantly higher mean value of Hcy in men than women. The women in the RD group were significantly older, less educated, and less employed than their male counterparts and thus may be presumed to at higher risk of health illiteracy. Gender-tailored interventions to modify the risk factors of CVD identified in this study for patients with RD are recommended.

Relationship between exposure to fine particulate matter and cardiovascular risk factors and the modifying effect of socioeconomic status: a cross-sectional study in Beijing, China

“…Based on biological plausibility, it is conceivable that prolonged exposure to air pollution, through the aforementioned mechanistic pathways, might induce undesirable alterations in CVD risk factors, encompassing blood lipid, glucose, and Hcy levels ( 10 , 11 ). Consequently, these modifications could serve as intermediaries connecting exposures to the overt manifestation of CVD ( 12 , 13 ). However, epidemiological studies associating these exposures with CVD risk factors are lacking ( 14 , 15 ), and evaluations may be influenced by remaining confounders, such as socioeconomic status (SES) and nutritional status ( 16 , 17 ).…”