Background: This study aimed to evaluate the prevalence of low health literacy in Hebei Province of China, and to investigate its socio-demographic risk factors.Methods: This study was a community-based, cross-sectional questionnaire survey with a multiple-stage randomization design and a sample size of 10560. Participants’ health literacy status was evaluated by a questionnaire based on the 2012 Chinese Resident Health Literacy Scale. Meanwhile, participants’ socio-demographic characteristics were also collected by the questionnaire.Results: A total of 9952 participants provided valid questionnaires and were included in the final analyses. The mean health literacy score was 63.1±17.1 points; for its subscales, the mean basic knowledge and concepts score, lifestyle score, health-related skills score were 31.7±9.0, 17.2±4.8, 14.3±4.1, respectively. Meanwhile, low health literacy prevalence was 81.0%; for its subscales, low basic knowledge and concepts prevalence (70.6%) was numerically reduced compared to low lifestyle prevalence (87.4%) and low health-related skills prevalence (86.1%). Further analyses showed that age, male and rural area were positively associated, but education level and annual household income were negatively associated with low health literacy prevalence. Further multivariate logistic regression analyses showed that higher age, male, lower education level, lower annual household income and rural area were closely correlated with the risks of low total health literacy or low health literacy in subscales in Hebei Province.Conclusion: The prevalence of low health literacy is 81.0% in Hebei Province. Meanwhile, higher age, male, lower education level, lower annual household income and rural area closely associate with low health literacy risk.
Aim: To investigate the clinical value of HDAC4 in coronary heart disease (CHD) patients. Methods: The serum HDAC4 levels were determined by ELISA in 180 CHD patients and 50 healthy controls. Results: HDAC4 was decreased in CHD patients compared with healthy controls (p < 0.001). HDAC4 was negatively linked with serum creatinine (p = 0.014), low-density lipoprotein cholesterol (p = 0.027) and C-reactive protein (p = 0.006) in CHD patients. Moreover, HDAC4 was inversely related to TNF-α (p = 0.012), IL-1β (p = 0.002), IL-6 (p = 0.034), IL-17A (p = 0.023), VCAM1 (p = 0.014) and Gensini score (p = 0.001). Unfortunately, neither HDAC4 high (vs low) (p = 0.080) nor HDAC4 quartile (p = 0.268) estimated major adverse cardiovascular event risk. Conclusion: Circulating HDAC4 levels have disease monitoring value but are less valuable in estimating prognosis in CHD patients.
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