656
Views
47
CrossRef citations to date
0
Altmetric
ARTICLES

Pregnant women's use of the internet in relation to their pregnancy in Izmir, Turkey

, , , &
Pages 253-263 | Published online: 07 Sep 2012
 

Abstract

This descriptive and cross-sectional study was conducted in order to determine the extent of internet use by pregnant women to gain information about their pregnancy. The research was conducted in two hospitals in Izmir, Turkey between August and October 2009, after written permission had been obtained. The research sample consisted of 185 pregnant women in at least the 28th week of pregnancy, who accepted to take part in the study. Forty-five percent of the pregnant women had used the internet to obtain information at least once during their pregnancy, and the most researched topics were fetal development, nutrition in pregnancy and the stages of birth. There is a significant difference between the age group, educational level, work status and number of pregnancies and the usage of internet among pregnant women. The women gave the information on the internet 7.13 ± 1.54 out of 10 points for correctness and dependability. Fifty-one percent of the pregnant women stated that they shared the information which they had obtained on the internet with health professionals. About half of the women in the study had used the internet to obtain information on pregnancy, birth and the fetus under various headings.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,155.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.