Motivational Factors for Smoking Behaviors in Individuals with Metabolic Syndrome

Park, Moonkyoung; Kang, Baram; Ryu, Ahyun; Li, YueLin; Song, Rhayun

doi:10.2147/ppa.s343874

Cited by 2 publications

(1 citation statement)

References 33 publications

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“…Thinking about oneself in this way may weaken identity related to a problem behavior and strengthen identity related to one’s non-problem behavior ( i.e ., non-smoking if the problem behavior is smoking). Consequently, as identity represents a strong form of automatic motivation, such a change in identity can lead to successfully changing (health) behaviors such as smoking ( Williams et al, 2002 ; Park et al, 2021 ). In addition, people need to gain confidence to change their behavior.…”

Section: Resultsmentioning

confidence: 99%

Users’ needs for a digital smoking cessation application and how to address them: A mixed-methods study

Albers

Neerincx

Penfornis

et al. 2022

PeerJ

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Background Despite their increasing prevalence and potential, eHealth applications for behavior change suffer from a lack of adherence and from dropout. Advances in virtual coach technology provide new opportunities to improve this. However, these applications still do not always offer what people need. We, therefore, need a better understanding of people’s needs and how to address these, based on both actual experiences of users and their reflections on envisioned scenarios. Methods We conducted a longitudinal study in which 671 smokers interacted with a virtual coach in five sessions. The virtual coach assigned them a new preparatory activity for quitting smoking or increasing physical activity in each session. Participants provided feedback on the activity in the next session. After the five sessions, participants were asked to describe barriers and motivators for doing their activities. In addition, they provided their views on videos of scenarios such as receiving motivational messages. To understand users’ needs, we took a mixed-methods approach. This approach triangulated findings from qualitative data, quantitative data, and the literature. Results We identified 14 main themes that describe people’s views of their current and future behaviors concerning an eHealth application. These themes relate to the behaviors themselves, the users, other parties involved in a behavior, and the environment. The most prevalent theme was the perceived usefulness of behaviors, especially whether they were informative, helpful, motivating, or encouraging. The timing and intensity of behaviors also mattered. With regards to the users, their perceived importance of and motivation to change, autonomy, and personal characteristics were major themes. Another important role was played by other parties that may be involved in a behavior, such as general practitioners or virtual coaches. Here, the themes of companionableness, accountability, and nature of the other party (i.e., human vs AI) were relevant. The last set of main themes was related to the environment in which a behavior is performed. Prevalent themes were the availability of sufficient time, the presence of prompts and triggers, support from one’s social environment, and the diversity of other environmental factors. We provide recommendations for addressing each theme. Conclusions The integrated method of experience-based and envisioning-based needs acquisition with a triangulate analysis provided a comprehensive needs classification (empirically and theoretically grounded). We expect that our themes and recommendations for addressing them will be helpful for designing applications for health behavior change that meet people’s needs. Designers should especially focus on the perceived usefulness of application components. To aid future work, we publish our dataset with user characteristics and 5,074 free-text responses from 671 people.

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Section: Resultsmentioning

confidence: 99%

Users’ needs for a digital smoking cessation application and how to address them: A mixed-methods study

Albers

Neerincx

Penfornis

et al. 2022

PeerJ

View full text Add to dashboard Cite

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Psychometric analysis of the Treatment Self-Regulation Questionnaire-Persian (TSRQ-P) version: autonomous regulation appraisal among the Iranian type 2 diabetes patients

Matin

Sarbakhsh

Shaghaghi

2022

Preprint

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Background: Autonomous self-regulation is a proxy for adapting long-term healthy behaviors with major impact on prevention of chronic illnesses. The psychometric properties of the Treatment Self-Regulation Questionnaire- Persian version (TSRQ-P) was assessed in this study for use in examination of autonomous regulation among the Iranian type 2 diabetes patients. Methods: The preliminary draft of the TSRQ-P was prepared based on a standard translation/back translation procedure and 15 allied health specialists assessed its face and content validities. The internal consistency measure of the Cronbach’s alpha and Intraclass Correlation Coefficient (ICC) were estimated to verify the TSRQ-P’s content validity and reliability. The exploratory (EFA) and confirmatory factor (CFA) analyses were performed to check the scale’s structural components. Results: The calculated Cronbach’s alpha= 0.893 and ICC= 0.982 deemed the scale as content valid and acceptable in terms of measurement invariance. The EFA and CFA outputs yielded two distinct factor structure for the TSRQ-P (RMSEA=0.078, NFI=0.849, RFI=0.806, IFI=0.913, TLI=0.886, CFI= 0.911). Conclusion: The TSRQ-P indicated robust psychometric features for application among Persian-speaking type 2 diabetes patients. Due to cross-borders cultural diversity of the subgroups of Persian speaking populations, further psychometric scrutiny is recommended to prevent bias and sociolinguistic inconsistencies.

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Motivational Factors for Smoking Behaviors in Individuals with Metabolic Syndrome

Cited by 2 publications

References 33 publications

Users’ needs for a digital smoking cessation application and how to address them: A mixed-methods study

Users’ needs for a digital smoking cessation application and how to address them: A mixed-methods study

Psychometric analysis of the Treatment Self-Regulation Questionnaire-Persian (TSRQ-P) version: autonomous regulation appraisal among the Iranian type 2 diabetes patients

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