Literature DB >> 29787775

Health information exposure from information and communication technologies and its associations with health behaviors: Population-based survey.

Chen Shen1, Man Ping Wang2, Alice Wan3, Kasisomayajula Viswanath4, Sophia Siu Chee Chan5, Tai Hing Lam3.   

Abstract

Health information and communication technologies (ICTs) are increasingly used but little is known about routine exposure to health information from ICTs and its associations with health behaviors. A territory-wide population-based dual landline and mobile telephone survey was conducted in 2016 in Hong Kong, where smartphone ownership and Internet access are among the most prevalent, easiest and fastest in the world. Health information exposure from traditional sources (television/radio/newspaper/magazine), Internet websites, social media sites and instant messaging (IM); and information on smoking, alcohol consumption and physical activity were recorded. Prevalence was weighted by age, sex and education level of the general population. Multinomial logistic regression was used to assess the association of health information exposure with smoking and alcohol consumption, whilst multivariable linear regression was used to assess the association with frequency of moderate and vigorous physical activity (days/week). Of 3063 respondents, most (71.6%) were often or sometimes exposed to health information from traditional sources, followed by Internet websites (40.9%), social media sites (40.7%), and IM (27.0%). Respondents with lower education and household income were less frequently exposed to health information from Internet websites, social media sites and IM (all P < 0.001). Health information exposure from IM was associated with being never smokers, and more frequent moderate and vigorous physical activity (all P for trend <0.05). Health information exposure from IM was least frequent but associated with healthier behaviors. Further public health education campaigns can consider using IM to deliver information, particularly to disadvantaged groups.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Health behavior; Mobile phone; Text messaging

Mesh:

Year:  2018        PMID: 29787775     DOI: 10.1016/j.ypmed.2018.05.018

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.018


  12 in total

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9.  Exploring Community Smokers' Perspectives for Developing a Chat-Based Smoking Cessation Intervention Delivered Through Mobile Instant Messaging: Qualitative Study.

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Journal:  JMIR Mhealth Uhealth       Date:  2019-01-31       Impact factor: 4.773

10.  Social Distancing Compliance under COVID-19 Pandemic and Mental Health Impacts: A Population-Based Study.

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