Subtopic Deep Dive
Self-Efficacy in Social and Health Behaviors
Research Guide
What is Self-Efficacy in Social and Health Behaviors?
Self-efficacy in social and health behaviors refers to Bandura's construct of individuals' confidence in their ability to execute behaviors for social adaptation, exercise adherence, smoking cessation, and managing addictions like Internet use.
Researchers apply self-efficacy theory to predict outcomes in health interventions such as telenursing for myocardial infarction patients (Keshavaraz et al., 2020, 17 citations) and mobile-app self-management for hemodialysis (Min and Park, 2020, 19 citations). Scales measure self-efficacy in contexts like cardiac rehabilitation using IMB models (Li and Zhu, 2022, 17 citations). Over 20 papers from 2010-2023 examine mechanisms across cultural settings including East Asia.
Why It Matters
Self-efficacy predicts adherence in public health programs, as shown in group counseling and CBT meta-analysis reducing Internet addiction (Liu et al., 2017, 105 citations). Telenursing boosts self-efficacy in myocardial infarction recovery, lowering readmission risks (Keshavaraz et al., 2020). Mobile apps enhance self-management in elderly hemodialysis, stabilizing physiological parameters (Min and Park, 2020). These applications support scalable interventions for behaviors like smoking cessation and exercise, informing therapies amid rising mental health issues from social isolation (Sikorska et al., 2021, 29 citations).
Key Research Challenges
Cultural Measurement Validity
Self-efficacy scales developed in Western contexts often lack validation in East Asian settings, as seen in Internet addiction interventions (Liu et al., 2017). Adapting measures requires cross-cultural testing. Longitudinal studies are scarce for sustained behavior change.
Mediating Mechanism Isolation
Distinguishing self-efficacy from social support effects challenges designs, evident in interstate student well-being studies (Adyani et al., 2019, 31 citations). Controlled trials need advanced statistics. Confounders like personality traits complicate findings (Tekin and Turhan, 2021).
Scalable Digital Intervention
Evaluating telepsychotherapy and app efficacy demands large RCTs, as in eating disorder prevention (Maglia et al., 2021, 27 citations). Retention in remote programs is low. Integration with health belief models needs refinement (Jadgal et al., 2014).
Essential Papers
Effects of Group Counseling Programs, Cognitive Behavioral Therapy, and Sports Intervention on Internet Addiction in East Asia: A Systematic Review and Meta-Analysis
Jun Liu, Jing Nie, Yafeng Wang · 2017 · International Journal of Environmental Research and Public Health · 105 citations
To evaluate the effects of group counseling programs, cognitive behavioral therapy (CBT), and sports intervention on Internet addiction (IA), a systematic search in ten databases was performed to i...
Perceived Social Support And Psychological Well-Being Among Interstate Students At Malikussaleh University
Liza Adyani, Ella Suzanna, Safuwan Safuwan et al. · 2019 · Indigenous Jurnal Ilmiah Psikologi · 31 citations
This study aims to examine the relationship between perceived social support and psychological well-being among interstate students at Malikussaleh University, Lhokseumawe. It is hypothesized that ...
Adolescent mental health and activities in the period of social isolation caused by the COVID-19 pandemic
Iwona Sikorska, Natalia Lipp, Paulina Wróbel et al. · 2021 · Postępy Psychiatrii i Neurologii · 29 citations
Social isolation resulted in an increase in online activity both in education and in the social life of young people. The results obtained indicate the intensification of negative affectivity in ad...
Evaluation of the Effects of Telepsychotherapy in the Treatment and Prevention of Eating Disorders in Adolescents
Marilena Maglia, Graziana Marika Corello, Pasquale Caponnetto · 2021 · International Journal of Environmental Research and Public Health · 27 citations
According to the WHO definition, “telemedicine is the provision of health services, where distance is a critical factor, by all health professionals who use information and communication technologi...
Analysis of Mobile App-Based Mental Health Solutions for College Students: A Rapid Review
Avishek Choudhury, Annabella Kuehn, Hamid Shamszare et al. · 2023 · Healthcare · 21 citations
Background: College students are one of the most susceptible age groups to mental health problems. With the growing popularity of mobile health (mHealth), there is an increasing need to investigate...
Does Social Media Addiction Differ by Personality Traits? A Study on Undergraduate Tourism Students
Ömer Akgün Tekin, Alparslan Abdullah Turhan · 2021 · Journal of Tourism and Services · 20 citations
The potential relationship between social media addiction and personality traits is an essential topic in tourism studies, though it is rarely examined. Thus, this study aims to examine whether und...
Student youth representation of psychological well-being: results of content analysis of works
Ma F., Shevchenko R.P., Karhina N.V. · 2020 · Insight the psychological dimensions of society · 20 citations
The purpose of the article is to identify certain semantic features of lexical units.According to the respondents, they could be equivalent to the concepts of "psychological well-being" and "psycho...
Reading Guide
Foundational Papers
Start with Pan and Chen (2010) for transtheoretical model applications in exercise self-efficacy and Jadgal et al. (2014) for health belief interventions in TB self-care, establishing behavioral prediction frameworks.
Recent Advances
Study Liu et al. (2017) meta-analysis for intervention benchmarks, Min and Park (2020) for app impacts, and Li and Zhu (2022) for IMB cardiac rehab advances.
Core Methods
Core techniques: self-efficacy scales in quasi-experiments (Keshavaraz et al., 2020), IMB modeling (Li and Zhu, 2022), mobile-app trials (Min and Park, 2020), and meta-regression (Liu et al., 2017).
How PapersFlow Helps You Research Self-Efficacy in Social and Health Behaviors
Discover & Search
Research Agent uses searchPapers and exaSearch to find 100+ papers on self-efficacy in health behaviors, revealing Liu et al. (2017) as top-cited meta-analysis on CBT interventions. citationGraph maps connections from Bandura-inspired works to recent East Asian studies like Keshavaraz et al. (2020). findSimilarPapers expands from Min and Park (2020) to app-based programs.
Analyze & Verify
Analysis Agent applies readPaperContent to extract self-efficacy scales from Keshavaraz et al. (2020), then verifyResponse with CoVe checks meta-analysis claims in Liu et al. (2017) against raw data. runPythonAnalysis computes effect sizes via meta-regression on citations from 10 papers, with GRADE grading for intervention evidence quality in cardiac rehab (Li and Zhu, 2022).
Synthesize & Write
Synthesis Agent detects gaps in cultural self-efficacy scales, flagging contradictions between social support studies (Adyani et al., 2019) and addiction papers. Writing Agent uses latexEditText for behavior model diagrams, latexSyncCitations for 20-paper bibliography, and latexCompile for review manuscripts. exportMermaid visualizes IMB model flows from Li and Zhu (2022).
Use Cases
"Run meta-analysis on self-efficacy effect sizes in telenursing papers for heart patients."
Research Agent → searchPapers → Analysis Agent → runPythonAnalysis (pandas meta-regression on 17+ papers) → GRADE grading → CSV export of pooled ORs and forest plots.
"Draft LaTeX review on mobile apps boosting self-efficacy in chronic disease management."
Synthesis Agent → gap detection → Writing Agent → latexEditText + latexSyncCitations (Min/Park 2020 et al.) + latexCompile → PDF with self-efficacy pathway figure.
"Find GitHub repos with code for self-efficacy scale validation in health apps."
Research Agent → paperExtractUrls (Choudhury et al. 2023) → Code Discovery → paperFindGithubRepo → githubRepoInspect → Python scripts for scale psychometrics.
Automated Workflows
Deep Research workflow conducts systematic review of 50+ self-efficacy papers, chaining searchPapers → citationGraph → GRADE synthesis for intervention hierarchies like Liu et al. (2017). DeepScan applies 7-step analysis with CoVe checkpoints to verify mechanisms in Keshavaraz et al. (2020). Theorizer generates hypotheses linking self-efficacy to social media addiction traits from Tekin and Turhan (2021).
Frequently Asked Questions
What defines self-efficacy in this subtopic?
Bandura's self-efficacy is confidence in performing social and health behaviors like exercise adherence and addiction recovery, measured via scales in interventions (Keshavaraz et al., 2020).
What are key methods used?
Methods include quasi-experimental telenursing trials (Keshavaraz et al., 2020), IMB model applications (Li and Zhu, 2022), and meta-analyses of CBT/sports for addictions (Liu et al., 2017).
What are key papers?
Top papers: Liu et al. (2017, 105 citations) on group counseling meta-analysis; Min and Park (2020, 19 citations) on hemodialysis apps; Keshavaraz et al. (2020, 17 citations) on telenursing self-efficacy.
What open problems exist?
Challenges include cultural scale adaptations beyond East Asia (Liu et al., 2017), isolating mediators from support (Adyani et al., 2019), and long-term efficacy in digital apps (Maglia et al., 2021).
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Part of the Social and Behavioral Studies Research Guide