Bihan Shen, Chen Ma, Lili Tang, Zhitao Wu, Zhaoliang Peng, Guoyu Pan, Hong Li
Applying machine learning for multi-individual Raman spectroscopic data to identify different stages of proliferating human hepatocytes
iScience
study aimed determine frequency impaired perception cardiovascular disease cvd risk correlated health literacy individuals high cvd risk two regions different socioeconomic levels descriptive study conducted systematic coronary risk estimation recommended european turkish cardiology societies provides recommendations based individuals actual cvd risk levels according systematic coronary risk estimation participants suffering diseases identified high high risk perception risk determined subjectively assessing risk level individuals european health literacy survey questionnaire used mannwhitney u test chisquared test spearmans correlation analysis used analyse data also conducted logistic regression analysis identify factors contributing impaired perception cvd risk total 384 individuals aged 40 70years mean age 5835833years included study individuals high risk cvd registered family health centres two different socioeconomic levels 384 participants 201 individuals belonged lower socioeconomic level region 183 individuals belonged higher socioeconomic level region total 617 participants high cvd risk impaired perception cvd risk health literacy level 599 individuals either inadequate problematic health literacy score participants impaired risk perception 2959907 lower correct risk perception 35831094 p 0001 factors affected perception cvd risk included age education level working status occupation family history cvd cvd risk assessment health professionals recommendation health professionals individuals cvd screening necessary health care professionals make risk assessments perform interventions improve health literacy raise awareness individuals high cvd risk actual risk