Literature DB >> 22313703

Investigating the use of social media to help women from going back to smoking post-partum.

John B Lowe1, Margaret Barnes, Cynthia Teo, Stephanie Sutherns.   

Abstract

OBJECTIVE: To investigate the social factors that would help women who had quit smoking due to pregnancy from returning to smoking after delivery of their baby.
METHODS: Women who attended their first antenatal check-up at a general public hospital were invited to participate in pre- and postpartum interviews.
RESULTS: A total of 24 women were interviewed pre- and postpartum. They reported isolation as a factor that influenced how they dealt with stress. This stress was linked to relapse. The use of electronic media through the Internet was a way women could interact with the outside community without having to leave home.
CONCLUSIONS: Women who had strong family relationships in geographic proximity were not as likely to use the computer to interact with relatives and friends. Women who did not have strong local and family ties that support their desire to not go back to smoking, reported using Facebook and other Internet activities to keep in touch while they stayed at home with their new infant. IMPLICATIONS: The use of electronic media may help facilitate interaction between new mothers, which could prevent isolation and relapse back to smoking after delivery. This mechanism might also be used to enhance skill-development and problem-solving by these women.
© 2012 The Authors. ANZJPH © 2012 Public Health Association of Australia.

Entities:  

Mesh:

Year:  2012        PMID: 22313703     DOI: 10.1111/j.1753-6405.2012.00826.x

Source DB:  PubMed          Journal:  Aust N Z J Public Health        ISSN: 1326-0200            Impact factor:   2.939


  10 in total

1.  Social media adoption in local health departments nationwide.

Authors:  Jenine K Harris; Nancy L Mueller; Doneisha Snider
Journal:  Am J Public Health       Date:  2013-07-18       Impact factor: 9.308

2.  Infant Feeding Practices and Perceived Optimal Breastfeeding Interventions among Low-Income Women Delivering at a Baby-Friendly Hospital.

Authors:  Adam K Lewkowitz; Nandini Raghuraman; Julia D López; George A Macones; Alison G Cahill
Journal:  Am J Perinatol       Date:  2018-12-19       Impact factor: 1.862

3.  Using Twitter for Demographic and Social Science Research: Tools for Data Collection and Processing.

Authors:  Tyler H McCormick; Hedwig Lee; Nina Cesare; Ali Shojaie; Emma S Spiro
Journal:  Sociol Methods Res       Date:  2015-10-09

4.  Communication about childhood obesity on Twitter.

Authors:  Jenine K Harris; Sarah Moreland-Russell; Rachel G Tabak; Lindsay R Ruhr; Ryan C Maier
Journal:  Am J Public Health       Date:  2014-05-15       Impact factor: 9.308

5.  Preventing smoking during pregnancy: the importance of maternal knowledge of the health hazards and of the treatment options available.

Authors:  André Luís Bertani; Thais Garcia; Suzana Erico Tanni; Irma Godoy
Journal:  J Bras Pneumol       Date:  2015 Mar-Apr       Impact factor: 2.624

6.  Using Social Media for Actionable Disease Surveillance and Outbreak Management: A Systematic Literature Review.

Authors:  Lauren E Charles-Smith; Tera L Reynolds; Mark A Cameron; Mike Conway; Eric H Y Lau; Jennifer M Olsen; Julie A Pavlin; Mika Shigematsu; Laura C Streichert; Katie J Suda; Courtney D Corley
Journal:  PLoS One       Date:  2015-10-05       Impact factor: 3.240

7.  Local health department use of twitter to disseminate diabetes information, United States.

Authors:  Jenine K Harris; Nancy L Mueller; Doneisha Snider; Debra Haire-Joshu
Journal:  Prev Chronic Dis       Date:  2013-05-02       Impact factor: 2.830

8.  Using twitter to examine smoking behavior and perceptions of emerging tobacco products.

Authors:  Mark Myslín; Shu-Hong Zhu; Wendy Chapman; Mike Conway
Journal:  J Med Internet Res       Date:  2013-08-29       Impact factor: 5.428

Review 9.  The use of social networking sites for public health practice and research: a systematic review.

Authors:  Daniel Capurro; Kate Cole; Maria I Echavarría; Jonathan Joe; Tina Neogi; Anne M Turner
Journal:  J Med Internet Res       Date:  2014-03-14       Impact factor: 5.428

10.  Assessing Electronic Cigarette-Related Tweets for Sentiment and Content Using Supervised Machine Learning.

Authors:  Heather Cole-Lewis; Arun Varghese; Amy Sanders; Mary Schwarz; Jillian Pugatch; Erik Augustson
Journal:  J Med Internet Res       Date:  2015-08-25       Impact factor: 5.428

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.