Sujin Kim
An exploratory study of inactive health information seekers
study aims identify people actively seek health information demographic characteristics inactive seekers possible determinants inactive seeking behaviors also exploreda total 14420 survey respondents drawn 2009 annenberg national health communication survey anhcs data kmeans clustering used discriminate inactive seekers active seekers inactive information seeker group formed based experience health information seeking potential determinants tested predict inactive seeking included following health condition health service use health media exposure computerinternet activitieswithin national survey data respondents likely included inactive seekers n8312 585 compared active seekers n5908 415 demographic characteristics indicated inactive seekers identified younger male highly educated white high household income people binary logistic regression results study model indicated healthier people less likely seek health information counterparts addition exposed various media almost 16 times likely seek health information exposed media within study data statistically significant determinants identified health condition health media exposure computerinternet activities show strong indications predicting inactive seeking behaviorthe development generalizable measures health literacy behavioral patterns bolster advanced study inactive seeking relating knowledge technology health context study directed estimating negative aspects information seeking information ignorance information avoidance