Mass media based health behavior change: Televised smoking cessation program

1984 ◽  
Vol 9 (3) ◽  
pp. 245-253 ◽  
Author(s):  
Brian G. Danaher ◽  
Emil Berkanovic ◽  
Barry Gerber
2022 ◽  
Author(s):  
Jezdancher Watti ◽  
Máté Millner ◽  
Kata Siklósi ◽  
Hedvig Kiss ◽  
Oguz Kelemen ◽  
...  

BACKGROUND The Transtheoretical Model recommends "processes of change", while the Motivational Interviewing approach offers “motivational language” as indicators of health behavior change. The relationship between these indicators and the usage of Facebook reaction buttons is little known. However, this relationship may highlight how to evaluate one of the most popular engagement indicators (Facebook reactions) in online health behavior change interventions. OBJECTIVE The study aim was to understand the relationship between processes of change, motivational language, Facebook users’ gender, and the Facebook reaction buttons. METHODS A total of 821 comments were analyzed in the current study (N=821), which came from different Facebook users, and responded to image-based, smoking cessation support contents. The processes of change (experiential and behavioral processes) and the motivational language (change talk and sustain talk) in the investigated comments were identified. The presence, the number, and the proportion of these linguistic categories were compared with the Facebook users’ gender and the usage of reaction buttons. RESULTS The Facebook users who used the “Haha” reaction button wrote significantly higher proportion of sustain talk than those who used the “Like” or “Love” reaction (P=.011). No significant difference in the number or proportion of linguistic categories was found between those who used the "Like" reaction button, and those who did not use reaction buttons. The Facebook users who combined the comment and “Love” reaction wrote significantly more change talk than those who used the “Haha” and “Like” reactions, or those who did not utilize these buttons (P<.001). Significant female dominance was observed in the presence, the number, and the proportion of experiential processes and change talk (P<.05). In addition, significant male predominance was found in the presence, the number, and the proportion of sustain talk (P<.05). CONCLUSIONS The "Haha" reaction may be a negative engagement indicator, the "Like" reaction may be a neutral engagement indicator, and the "Love" reaction may be a positive engagement indicator in terms of the smoking cessation during Facebook-based interventions. Furthermore, female engagement may be characterized by utilizing the terms of experiential processes and change talk, while the usage of sustain talk can be typical for male engagement. We recommend the evaluation of processes of change and motivational utterances in participants' comments during online public health interventions.


2018 ◽  
Vol 36 (7_suppl) ◽  
pp. 98-98
Author(s):  
Lawson Eng ◽  
Sophia Yijia Liu ◽  
Qihuang Zhang ◽  
Delaram Farzanfar ◽  
Sabrina Yeung ◽  
...  

98 Background: Health behavior change including smoking cessation, physical activity (PA) and alcohol moderation are important aspects of cancer survivorship. We assessed cancer pt interest and perceptions of programs for these behaviours. Methods: 501 cancer pts were surveyed on their smoking, PA and alcohol use along with their interest and perceptions for programs for these behaviors. Multivariate logistic regression models identified factors associated with pt interest and perceptions. Results: At diagnosis, 115 pts smoked; 184 were exposed to second hand smoke (SHS); 313 did not meet PA guidelines; 238 were drinking alcohol. At risk pts’ (e.g, smokers for smoking cessation, SHS exposed for household smoking cessation) survey results are shown in the table. Most pts perceived smoking (90%), SHS (83%) and alcohol (56%) to be harmful on quality of life, survival and fatigue while PA (77%) was felt to improve these outcomes. These perceptions were not associated with program interest ( P> 0.05). However, pts perceiving that alcohol worsened and PA improved these outcomes were more to likely believe associated programs are beneficial (alcohol aORs = 2.1-2.2 P< 0.03; PA aORs = 1.9-3.2 P< 0.02) and should be routine care (alcohol aORs = 1.9-3.5 P< 0.03; PA aORs = 1.7-2.4 P< 0.1). Pts with more pack-yrs smoked less likely perceived a benefit in a household smoking cessation program (aOR = 1.02 P< 0.007). Pts preferred discussing programs with doctors ( > 35%) or counsellors ( > 42%). Conclusions: About half of pts feel that health behavior change programs would be beneficial and should be part of routine care. These factors were more important than perception of the behaviors on outcomes in influencing pt interest. Initial discussions with pts should focus on discussing benefits of these programs. [Table: see text]


1982 ◽  
Vol 7 (1) ◽  
pp. 57-63 ◽  
Author(s):  
Robert W. Jeffery ◽  
Brian G. Danaher ◽  
John Killen ◽  
John W. Farquhar ◽  
Richard Kinnier

1996 ◽  
Vol 10 (5) ◽  
pp. 371-379 ◽  
Author(s):  
Mary Beth Love ◽  
Gerald W. Davoli ◽  
Quint C. Thurman

Purpose. To examine the degree of consensus among health behavior change professionals regarding the personal and environmental factors they believe most strongly influence health behavior decisions related to smoking cessation, regular exercise, and weight loss. Design. A factorial survey design was implemented. This method combines the positive elements from simple sample surveys and factorial experiment designs. A total of 44 independent psychosocial and environmental variables are used to randomly construct vignettes, or short stories, to collect dependent variable data. Subjects. A probability sample of 311 health behavior change professionals was selected from the Society for Public Health Education, Inc., the Society of Behavioral Medicine, and faculty from the 1986 Harvard University Symposium on Health Promotion in the Work Place. Measures. Judgment ratings on the probability that the person described in each vignette would initiate the behavior in question. Results. Multivariate analysis indicates that the multidimensional model explained approximately one half of the variance in the judgments across the three health behaviors (smoking cessation, R2 = .52; weight loss, R2 = .49; and regular exercise, R2 = .49). Conclusions. These data suggest a high degree of consensus among the sample regarding the personal and environmental factors that influence health behavior judgments. Here, the subjects perceive both behavioral intentions and self-efficacy as the most powerful determinants of judgments to initiate weight loss, regular exercise, and smoking cessation.


2008 ◽  
Author(s):  
Kara Harrington ◽  
Maureen E. Kenny ◽  
Deirdre Brogan ◽  
Lynn Y. Walsh

2020 ◽  
Author(s):  
Luke Brownlow

BACKGROUND Smartphone applications (apps) are an ideal tool that is highly accessible to people who wish to begin self-treatment for depression. While many studies have performed content analyses on healthcare apps, few studies have reviewed these apps for adherence to behavior theory. Furthermore, apps for depression management are underrepresented in healthcare research. OBJECTIVE The objective of this study is to assess mHealth depression apps using SDT as a theoretical framework for meeting needs of autonomy, competence and, relatedness METHODS All depression healthcare apps available in Australia from the iTunes and Google Play app stores that met the inclusion criteria were analyzed. Each app was reviewed based on price options, store availability, download rates, and how in-app functions met the three basic needs for motivation towards health behavior change outlined in the Self-Determination Theory (SDT). RESULTS The analysis of the apps showed that most apps were free to download (69.9%) and addressed at least one of the three needs (81.4%) of SDT. However, few apps addressed all three of the basic needs through their functions (7.7%), and no apps hosted all functions expected to stimulate motivation for health behavior change. Furthermore, neither store availability, price option nor download rate were accurate predictors that apps hosted in-app functions expected to meet the basic needs. CONCLUSIONS The results suggest that some depression healthcare apps that meet the basic needs would effectively stimulate motivation (i.e., autonomy, competence, and relatedness). However, each individual app is limited in its number of functions that meet the basic needs. People who want access to more functions would need to download a suite of apps.


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