Samira Rahimi, Charlene Chu, Roland Grad, Mark Karanofsky, Mylene Arsenault, Charlene Ronquillo, Isabelle Vedel, Katherine McGilton, Machelle Wilchesky
Explainable Machine Learning Model to Predict COVID-19 Severity Among Older Adults in the Province of Quebec
Annals of family medicine
increases smoking behavior among people community cause health problems current smoking behavior changes younger generation spreads children condition concern elementary schoolage children purpose study determine relationships risk factors smoking behavior primary schoolaged children karawang descriptive research method crosssectional design used random sampling technique obtained sample 356 respondents aged 912 years karawang study used smoking behavior questionnaire validity 04690872 reliability 092 data analyzed using linear correlation multiple linear regression results study show relationship age risk factors firsttime smoking family smokers following trends wanting cool smoking behavior primary schoolage children multivariate analysis multiple linear regression showed dominant factor related smoking behavior sex r square 0159 risk factors smoking sex affect smoking behavior primary schoolaged children karawang regency findings study indicate need control risk factors influence schoolage children start smoking