Gender, age and subjectivewell-being: Towards personalized persuasive health interventions

Keyphrases

• Affective Dimension 25%
• Age Groups 33%
• Asian Nation 8%
• Cognitive Dimension 16%
• Confirmatory Factor Analysis 8%
• Design Guidelines 8%
• Design Strategy 8%
• Emotional Well-being 16%
• Gender Groups 33%
• Happiness 8%
• Health Intervention 100%
• Individual Age 8%
• Individual Judgment 8%
• Intervention Design 8%
• Life Satisfaction 16%
• Model Factor 8%
• Nigeria 8%
• Older Adults 16%
• Over 65 8%
• Overall Health 8%
• Overall Well-being 16%
• Partial Least Squares Structural Equation Modeling (PLS-SEM) 8%
• Persuasive Interventions 16%
• Persuasive Technology 8%
• Psychological Well-being 8%
• Social Well-being 16%
• Subjective Well-being 100%
• Technology Design 8%
• Western Nations 8%

Psychology

• Factor Analysis 9%
• Happiness 9%
• Psychological Well-Being 9%
• Subjective Well-Being 100%