The Effects of Expression: How Providing Emotional Support Online Improves Cancer Patients’ Coping Strategies

Namkoong, Kang; McLaughlin, Bryan; Yoo, Woohyun; Hull, Susan; Shah, Dhavan V.; Kim, Sojung C.; Moon, Tae Joon; Johnson, Courtney N.; Hawkins, Robert P.; McTavish, Fiona; Gustafson, David H.

doi:10.1093/jncimonographs/lgt033

Cited by 56 publications

(45 citation statements)

References 39 publications

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“…The mixed findings regarding the effectiveness of communicating MERSrelated information might stem from the difference in attributes between message expression and reception. In an online communication environment, the expression of messages is a self-involved and goal-directed behavior, since composing messages and reflecting on them are cognitively demanding activities (Namkoong et al, 2013). SNSs continue to grow in popularity as sites for users to share information about their thoughts and activities (Vitak et al, 2011).…”

Section: Discussionmentioning

confidence: 99%

“…Previous research provides evidence that social media are very effective in reinforcing or changing attitudes and behaviors in a crisis. For instance, Mou and Lin (2014) examined whether the public's use of social media was related to any forms of prevention action in relation to food safety in China. Their findings showed that the use of microblog or Weibo in China was positively associated with public awareness of a series of food safety incidents and factual awareness, in addition to preventive actions regarding food risks.…”

Section: Linking Sns Communication To Cognitive Characteristics and Pmentioning

confidence: 99%

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The effects of SNS communication: How expressing and receiving information predict MERS-preventive behavioral intentions in South Korea

Yoo

Choi

Park

2016

Computers in Human Behavior

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118

159

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Preventive behavioral intentions a b s t r a c tIndividuals use social network sites (SNSs) as an effective tool for communicating relevant information with others during the outbreak of infectious diseases. However, little is known about the underlying mechanism through which communicative behaviors influence preventive behaviors. Thus, in the context of Middle East respiratory syndrome (MERS) in South Korea, this study investigated how two communicative behaviors (message expression and reception) in SNSs affected the communicators' intentions to engage in MERS-preventive behaviors. Using data collected from a nationally representative panel survey of 1000 Korean adults aged 19 or older, we examined a theoretical expression and reception effects model. Results support the presence of effects from expressing and receiving MERS-related information via SNSs and their underlying mechanism during South Korea's MERS outbreak. Public health officials and communication professionals should actively use SNS communication in coping with public health crisis caused by emerging infectious diseases.

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Section: Discussionmentioning

confidence: 99%

Section: Linking Sns Communication To Cognitive Characteristics and Pmentioning

confidence: 99%

The effects of SNS communication: How expressing and receiving information predict MERS-preventive behavioral intentions in South Korea

Yoo

Choi

Park

2016

Computers in Human Behavior

Self Cite

118

159

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“…Such perception in turn predicted greater perceived peer smoking norms, resulting in more positive attitudes toward smoking and greater smoking intentions. In an online communication environment, the expression of messages is a self-involved and goal-directed behavior (Namkoong et al, 2013; Yoo, Choi, & Park, 2016). Thus, social media users who talk about smoking might already have preexisting attitudes toward smoking.…”

Section: Discussionmentioning

confidence: 99%

How social media influence college students’ smoking attitudes and intentions

Yoo

Yang

Cho

2016

Computers in Human Behavior

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Building on the influence of presumed influence (IPI) model, this study examines how smoking- related messages on social media influence college students’ smoking. We surveyed 366 college students from three U.S. Midwestern universities in 2012 and examined the effects of expression and reception of smoking-related messages on smoking using path analysis. We found that the expression and reception of prosmoking messages not only directly affected smoking but also had indirect effects on smoking through (1) perceived peer expression of prosmoking messages and (2) perceived peer smoking norms. For antismoking messages, only reception had a significant indirect influence on smoking through (1) perceived peer reception of antismoking messages and (2) perceived peer smoking norms. In conclusion, social media function as an effective communication channel for generating, sharing, receiving, and commenting on smoking-related content and are thus influential on college students’ smoking.

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“…A recent intervention study found that expressing social support was associated with perceived bonding within the social media group and positive coping strategies, whereas receipt alone of supportive messages was not. 27 …”

Section: Key Principles Of Social Media To Enhance Cancer Prevention mentioning

confidence: 99%

Social Media and Mobile Technology for Cancer Prevention and Treatment

Prochaska

Coughlin

Lyons

2017

American Society of Clinical Oncology Educational Book

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OVERVIEW Given the number of lives affected by cancer and the great potential for optimizing well-being via lifestyle changes, patients, providers, health care systems, advocacy groups, and entrepreneurs are looking to digital solutions to enhance patient care and broaden prevention efforts. Thousands of health-oriented mobile websites and apps have been developed, with a majority focused upon lifestyle behaviors (e.g., exercise, diet, smoking). In this review, we consider the use and potential of social media and mHealth technologies for cancer prevention, cancer treatment, and survivorship. We identify key principles in research and practice, summarize prior reviews, and highlight notable case studies and patient resources. Further, with the potential for scaled delivery and broad reach, we consider application of social media and mHealth technologies in low-resource settings. With clear advantages for reach, social media and mHealth technologies offer the ability to scale and engage entire populations at low cost, develop supportive social networks, connect patients and providers, encourage adherence with cancer care, and collect vast quantities of data for advancing cancer research. Development efforts have been rapid and numerous, yet evaluation of intervention effects on behavior change and health outcomes are sorely needed, and regulation around data security issues is notably lacking. Attention to broader audiences is also needed, with targeted development for culturally diverse groups and non-English speakers. Further investment in research to build the evidence base and identify best practices will help delineate and actualize the potential of social media and mHealth technologies for cancer prevention and treatment.

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The Effects of Expression: How Providing Emotional Support Online Improves Cancer Patients’ Coping Strategies

Cited by 56 publications

References 39 publications

The effects of SNS communication: How expressing and receiving information predict MERS-preventive behavioral intentions in South Korea

The effects of SNS communication: How expressing and receiving information predict MERS-preventive behavioral intentions in South Korea

How social media influence college students’ smoking attitudes and intentions

Social Media and Mobile Technology for Cancer Prevention and Treatment

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