Summary of quantitative and qualitative analyses
| Core conceptual components | Detailed conceptual components | Quantitative evidence | Qualitative evidence | Integration/Synthesis |
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| Goal setting and healthism | Goal achievement |
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| Social norms and failure avoidance |
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| Flow experience | Antecedents and mediators |
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| Moderating factors |
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| Behavioural outcomes | Continued app usage and satisfaction |
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| Core conceptual components | Detailed conceptual components | Quantitative evidence | Qualitative evidence | Integration/Synthesis |
|---|---|---|---|---|
| Goal setting and healthism | Goal achievement | Strong relationship between goal achievement and attitude toward fitness Significant impact on health preoccupation Positive effect on healthy identity | Range of goal setting practices (weight management, fitness improvement) Goals linked to specific app functions (calorie counting, fitness timer) “I’m trying to gain weight, build muscle… I would like to track everything” | Both methods confirm strong connection between goal achievement and healthism dimensions Qualitative data reveals specific mechanisms of goal formation |
| Social norms and failure avoidance | Negative impact of social norms on attitude toward fitness and healthy identity Failure avoidance negatively affects attitude toward fitness and healthy identity Non-significant effect on health preoccupation | Influence of personal trainers, family, and friends Community support and social comparison “Once I had a personal trainer… motivated me to actually do it properly” | Quantitative data shows complex relationship between social norms and healthism Qualitative data explains social influence mechanisms | |
| Flow experience | Antecedents and mediators | Attitude toward fitness significantly affects flow experience Health preoccupation positively influences flow experience Healthy identity impacts flow experience Attitude toward fitness significantly affects flow experience Health preoccupation positively influences flow experience Healthy identity impacts flow experience | Importance of 'right mindset’ Visual feedback and data tracking “If you’re in the right mindset, I feel it is a good thing” | Both methods identify key flow facilitators Qualitative data adds psychological dimensions |
| Moderating factors | Perceptions of behavioural change via app negatively moderate flow experience’s impact on continued usage and satisfaction | Data input burden Progress plateaus “Once you stopped seeing those changes, it’s a lot harder to motivate yourself” | Both methods identify moderating/interfering factors Qualitative data explains specific mechanisms of flow disruption | |
| Behavioural outcomes | Continued app usage and satisfaction | Flow experience significantly affects continued app usage intention Flow experience positively impacts satisfaction Significant mediation effects through flow experience | Evolution from tracking to intuitive understanding Transition from app dependence to self-sufficiency Development of personal systems | Only qualitative insights show patterns in usage evolution Qualitative data explains transition mechanisms |
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