Table 6.

Summary of quantitative and qualitative analyses

Core conceptual componentsDetailed conceptual componentsQuantitative evidenceQualitative evidenceIntegration/Synthesis
Goal setting and healthismGoal 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 experienceAntecedents 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 outcomesContinued 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

Source(s): Authors’ own work

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