Tayla Storr|Judith Maher|Libby Swanepoel
Online nutrition information for pregnant women: a content analysis
University of the Sunshine Coast|University of the Sunshine Coast|University of the Sunshine Coast
pregnant women actively seek health information online including nutrition foodrelated topics however accuracy readability information evaluated aim study describe evaluate pregnancyrelated food nutrition information available online four search engines used search pregnancyrelated nutrition web pages content analysis web pages performed web pages assessed 2013 australian dietary guidelines assess accuracy fleschkincaid fk simple measure gobbledygook smog gunning fog index fog flesch reading ease fre formulas used assess readability data analysed descriptively spearmans correlation used assess relationship web page characteristics kruskalwallis test used check differences among readability web page characteristics total 693 web pages included web page types included commercial n 340 notforprofit n 113 blogs n 112 government n 89 personal n 36 educational n 3 accuracy online nutrition information varied 397 web pages containing accurate information 228 containing mixed information 375 containing inaccurate information average reading grade pages analysed measured fk smog fog 118 mean fre 516 fairly difficult read score 05 web pages written grade 6 according fk smog fog findings suggest accuracy pregnancyrelated nutrition information problem internet web page readability generally difficult means information may accessible cannot read sophisticated level 2016 john wiley sons ltd