Literature DB >> 33673161

How Framed Messages Influence Depression Assessment Intentions: Interactivity of Social Media as a Moderator.

Quan Gao1, Hye Eun Lee1.   

Abstract

This study examines how the framing and interactivity of messages influence the intentions of individuals to take a depression assessment. An experiment with a 2 (message framing: gain-versus loss-) × 2 (interactivity: low versus high) between-subject design was conducted among 269 Chinese participants (M = 30.70, SD = 7.34). The results showed that those reading loss-framed messages had a higher intention to take a depression assessment compared to those reading gain-framed messages. Secondly, those reading messages delivered with high interactivity had a higher intention to take a depression assessment than those reading messages delivered with low interactivity. Further, the interaction effect of framed messages and their varying degrees of interactivity was found to influence the intentions of individuals to take a depression assessment as well. Specifically, participants who read the loss-framed message reported stronger intention in the high interactivity group. In contrast, there was no significant difference between the effectiveness of loss-framed and gain-framed messages in promoting the intention to take a depression assessment in the low interactivity condition.

Entities:  

Keywords:  depression; intention to take an assessment; interactivity; message framing; social media

Mesh:

Year:  2021        PMID: 33673161      PMCID: PMC7917622          DOI: 10.3390/ijerph18041787

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  18 in total

Review 1.  Shaping perceptions to motivate healthy behavior: the role of message framing.

Authors:  A J Rothman; P Salovey
Journal:  Psychol Bull       Date:  1997-01       Impact factor: 17.737

2.  Perceived risk as a moderator of the effectiveness of framed HIV-test promotion messages among women: a randomized controlled trial.

Authors:  Shawnika J Hull
Journal:  Health Psychol       Date:  2011-07-18       Impact factor: 4.267

3.  ASSOCIATION BETWEEN SOCIAL MEDIA USE AND DEPRESSION AMONG U.S. YOUNG ADULTS.

Authors:  Liu Yi Lin; Jaime E Sidani; Ariel Shensa; Ana Radovic; Elizabeth Miller; Jason B Colditz; Beth L Hoffman; Leila M Giles; Brian A Primack
Journal:  Depress Anxiety       Date:  2016-01-19       Impact factor: 6.505

4.  Rethinking Risk: Prospect Theory Application in Health Message Framing Research.

Authors:  Nancy Grant Harrington; Anna M Kerr
Journal:  Health Commun       Date:  2016-05-13

5.  Prevalence of mental disorders in China: a cross-sectional epidemiological study.

Authors:  Yueqin Huang; Yu Wang; Hong Wang; Zhaorui Liu; Xin Yu; Jie Yan; Yaqin Yu; Changgui Kou; Xiufeng Xu; Jin Lu; Zhizhong Wang; Shulan He; Yifeng Xu; Yanling He; Tao Li; Wanjun Guo; Hongjun Tian; Guangming Xu; Xiangdong Xu; Yanjuan Ma; Linhong Wang; Limin Wang; Yongping Yan; Bo Wang; Shuiyuan Xiao; Liang Zhou; Lingjiang Li; Liwen Tan; Tingting Zhang; Chao Ma; Qiang Li; Hua Ding; Hongchun Geng; Fujun Jia; Jianfei Shi; Shiliang Wang; Ning Zhang; Xinbai Du; Xiangdong Du; Yue Wu
Journal:  Lancet Psychiatry       Date:  2019-02-18       Impact factor: 27.083

6.  Perceived susceptibility to breast cancer moderates the effect of gain- and loss-framed messages on use of screening mammography.

Authors:  Kristel M Gallagher; John A Updegraff; Alexander J Rothman; Linda Sims
Journal:  Health Psychol       Date:  2011-03       Impact factor: 4.267

7.  Studying heuristic-systematic processing of risk communication.

Authors:  LeeAnn Kahlor; Sharon Dunwoody; Robert J Griffin; Kurt Neuwirth; James Giese
Journal:  Risk Anal       Date:  2003-04       Impact factor: 4.000

8.  Does message framing affect changes in behavioural intentions in people with psoriasis? A randomized exploratory study examining health risk communication.

Authors:  C Keyworth; P A Nelson; C Bundy; S R Pye; C E M Griffiths; L Cordingley
Journal:  Psychol Health Med       Date:  2018-01-30       Impact factor: 2.423

9.  Recovery in patients with major depressive disorder (MDD): results of a 6-month, multinational, observational study.

Authors:  Diego Novick; William Montgomery; Ellen Vorstenbosch; Maria Victoria Moneta; Héctor Dueñas; Josep Maria Haro
Journal:  Patient Prefer Adherence       Date:  2017-10-31       Impact factor: 2.711

10.  Inspecting Vulnerability to Depression From Social Media Affect.

Authors:  Lucia Lushi Chen; Christopher H K Cheng; Tao Gong
Journal:  Front Psychiatry       Date:  2020-02-21       Impact factor: 4.157

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.