Umair Baig, Jamil Usman, Sani I Abba, Lukka Thuyavan Yogarathinam, Abdul Waheed, Abdullah Bafaqeer, Isam H Aljundi
Insight into soft chemometric computational learning for modelling oily-wastewater separation efficiency and permeate flux of polypyrrole-decorated ceramic-polymeric membranes
Journal of chromatography. A
middleaged adults often overlook critical modifiable risk factors contribute emergence cardiometabolic diseases cmds including hypertension diabetes many cmds alleviated addressing modifiable risks however insufficient research focused rural adults lower levels health literacy regard aim study explore develop intuitive assessment tool predicting cardiometabolic diseases cmds used health education adults low health literacy communitybased crosssectional study structured questionnaire healthpromoting habits smoking sleep physiological biomarkers obtained via community health screening coastal region yunlin county taiwan multivariate logistic regression used screen significant variables nomogram construction analysis nonlinear restricted cubic spline performed total 712 participants 609 females aged 4064 years middle school level lower education included average age 556 years sd73 220 individuals 31 cmds multivariate logistic regression analysis revealed age lower scores vegetables fruit water exercise vfwe smoking history sleep deprivation overweight significantly associated cmds model incorporating modifiable risk factors demonstrated good discriminatory ability indicated area receiver operating characteristic curve 075 073076 predictive nomogram developed presented modifiable risk factors simple graphical format facilitate prediction cmds study highlights high prevalence cmds among middleaged adults along disregard important risk factors could modified developed nomogram could practical effective tool community health education enhance health literacy prevent progression cmds