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      Understanding online health information seeking behavior of older adults: A social cognitive perspective

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          Abstract

          Introduction

          Online health information seeking has been verified to play a crucial role in improving public health and has received close scholarly attention. However, the seeking behavior of older adults, especially the underlying mechanism through which they are motivated to seek health information online, remains unclear. This study addresses the issue by proposing a theoretical model leveraging social cognitive theory.

          Methods

          IT self-efficacy and IT innovativeness were identified as personal factors and professional support and social support were identified as environmental factors. We conducted a survey that included 347 older people in China and examined the research hypotheses with a structural equation model.

          Results

          IT self-efficacy and IT innovativeness facilitate older adults to seek health information online by increasing their perceived benefit of using the internet. Additionally, professional support and social support enhanced older adults' online seeking behavior by promoting their health awareness. We also found that perceived benefit displayed a stronger impact than health awareness on older adults' behavior related to searching for health information online.

          Conclusion

          This study reveals that IT self-efficacy, IT innovativeness, professional support, and social support will promote older adults to seek health information online by enhancing their health awareness and perceived benefit. The findings of this study provide significant theoretical and practical implications.

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          Most cited references84

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          Common method biases in behavioral research: A critical review of the literature and recommended remedies.

          Philip M Podsakoff, Scott MacKenzie, Jeong-Yeon Lee … (2003)
          Interest in the problem of method biases has a long history in the behavioral sciences. Despite this, a comprehensive summary of the potential sources of method biases and how to control for them does not exist. Therefore, the purpose of this article is to examine the extent to which method biases influence behavioral research results, identify potential sources of method biases, discuss the cognitive processes through which method biases influence responses to measures, evaluate the many different procedural and statistical techniques that can be used to control method biases, and provide recommendations for how to select appropriate procedural and statistical remedies for different types of research settings.
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            Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

            Claes Fornell, David Larcker (2018)
            Article 0 comments Cited 7634 times – based on 0 reviews     Review now
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              Self-efficacy: Toward a unifying theory of behavioral change.

              Albert Bandura (1977)
              Article 0 comments Cited 3147 times – based on 0 reviews     Review now
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                Author and article information

                Contributors
                Journal
                Journal ID (nlm-ta): Front Public Health
                Journal ID (iso-abbrev): Front Public Health
                Journal ID (publisher-id): Front. Public Health
                Title: Frontiers in Public Health
                Publisher: Frontiers Media S.A.
                ISSN (Electronic): 2296-2565
                Publication date (Electronic): 03 March 2023
                Publication date Collection: 2023
                Volume: 11
                Electronic Location Identifier: 1147789
                Affiliations
                [1] 1Faculty of Business, Hong Kong Polytechnic University, Kowloon , Hong Kong SAR, China
                [2] 2Industrial Design Department, Eindhoven University of Technology , Eindhoven, Netherlands
                [3] 3School of Political Science and Public Administration, Soochow University , Jiangsu, China
                [4] 4School of Business, Jiangnan University, Wuxi , Jiangsu, China
                Author notes

                Edited by: Shekhar Chauhan, International Institute for Population Sciences (IIPS), India

                Reviewed by: Yibo Wu, School of Public Health, Peking University, China; Zhichao Hao, Southwest University, China

                *Correspondence: Fanbo Meng fanbomeng@ 123456jiangnan.edu.cn

                This article was submitted to Aging and Public Health, a section of the journal Frontiers in Public Health

                Article
                DOI: 10.3389/fpubh.2023.1147789
                PMC ID: 10020694
                PubMed ID: 36935731
                SO-VID: 0376e73a-6b40-463c-921b-11ef26274575
                Copyright © Copyright © 2023 Ma, Liu, Zhang, Qi and Meng.
                License:

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                Date received : 19 January 2023
                Date accepted : 13 February 2023
                Page count
                Figures: 2, Tables: 6, Equations: 0, References: 84, Pages: 13, Words: 9407
                Funding
                Funded by: National Social Science Fund of China, doi 10.13039/501100012456;
                This study was funded by the National Natural Science of China (72001094).
                Categories
                Subject: Public Health
                Subject: Original Research

                Keywords: online health information seeking,older adults,social cognitive theory,health awareness,perceived benefit
                Data availability:
                Keywords: online health information seeking, older adults, social cognitive theory, health awareness, perceived benefit

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