Literature DB >> 24717738

Chinese older adults' Internet use for health information.

Carmen K M Wong1, Dannii Y Yeung, Henry C Y Ho, Kin-Po Tse, Chun-Yiu Lam.   

Abstract

Technological advancement benefits Internet users with the convenience of social connection and information search. This study aimed at investigating the predictors of Internet use to search for online health information among Chinese older adults. The Technology Acceptance Model (TAM) was applied to examine the predictiveness of perceived ease of use, perceived usefulness, and attitudes toward Internet use on behavioral intention to search for health information online. Ninety-eight Chinese older adults were recruited from an academic institute for older people and community centers. Frequency of Internet use and physical and psychological health were also assessed. Results showed that perceived ease of use and attitudes significantly predicted behavioral intention of Internet use. The potential influences of traditional Chinese values and beliefs in health were also discussed.

Entities:  

Keywords:  Chinese older adults; Internet use; health information; technology acceptance model

Mesh:

Year:  2012        PMID: 24717738     DOI: 10.1177/0733464812463430

Source DB:  PubMed          Journal:  J Appl Gerontol        ISSN: 0733-4648


  15 in total

1.  Social Support and "Playing Around": An Examination of How Older Adults Acquire Digital Literacy With Tablet Computers.

Authors:  Hsin-Yi Sandy Tsai; Ruth Shillair; Shelia R Cotten
Journal:  J Appl Gerontol       Date:  2015-10-21

2.  Engaging limited English proficient and ethnically diverse low-income women in health research: A randomized trial of a patient navigator intervention.

Authors:  Alyssa Nickell; Susan L Stewart; Nancy J Burke; Claudia Guerra; Elly Cohen; Catherine Lawlor; Susan Colen; Janice Cheng; Galen Joseph
Journal:  Patient Educ Couns       Date:  2019-02-11

3.  Integrating health belief model and technology acceptance model: an investigation of health-related internet use.

Authors:  Ashraf Sadat Ahadzadeh; Saeed Pahlevan Sharif; Fon Sim Ong; Kok Wei Khong
Journal:  J Med Internet Res       Date:  2015-02-19       Impact factor: 5.428

4.  Determinants of the intention to use e-Health by community dwelling older people.

Authors:  Anke J E de Veer; José M Peeters; Anne E M Brabers; Francois G Schellevis; Jany J D J M Rademakers; Anneke L Francke
Journal:  BMC Health Serv Res       Date:  2015-03-15       Impact factor: 2.655

5.  Health information sources for different types of information used by Chinese patients with cancer and their family caregivers.

Authors:  Bo Xie; Zhaohui Su; Yihao Liu; Mo Wang; Ming Zhang
Journal:  Health Expect       Date:  2016-09-07       Impact factor: 3.377

6.  Exploring critical factors influencing nurses' intention to use tablet PC in Patients' care using an integrated theoretical model.

Authors:  Shu-Lung Sun; Hsin-Ginn Hwang; Bireswar Dutta; Mei-Hui Peng
Journal:  Libyan J Med       Date:  2019-12       Impact factor: 1.743

7.  Does internet use affect levels of depression among older adults in China? A propensity score matching approach.

Authors:  Yean Wang; Huan Zhang; Tong Feng; Hongyang Wang
Journal:  BMC Public Health       Date:  2019-11-07       Impact factor: 3.295

8.  Electronic Health Record Patient Portal Adoption by Health Care Consumers: An Acceptance Model and Survey.

Authors:  Jorge Tavares; Tiago Oliveira
Journal:  J Med Internet Res       Date:  2016-03-02       Impact factor: 5.428

9.  What Predicts Patients' Willingness to Undergo Online Treatment and Pay for Online Treatment? Results from a Web-Based Survey to Investigate the Changing Patient-Physician Relationship.

Authors:  Johanna Roettl; Sonja Bidmon; Ralf Terlutter
Journal:  J Med Internet Res       Date:  2016-02-04       Impact factor: 5.428

10.  Effectiveness of eHealth cardiac rehabilitation on health outcomes of coronary heart disease patients: a randomized controlled trial protocol.

Authors:  Jing Jing Su; Doris Sau Fung Yu
Journal:  BMC Cardiovasc Disord       Date:  2019-11-29       Impact factor: 2.298

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