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Exploring the Cognitive and Behavioral Risks and Maintenance Factors of Hikikomori: Protocol for an Ecological
Alexander MacLellan1, Keisuke Takano
1Human Informatics and Interaction Research Institute, National Institute of Advanced Industrial Science and Technology, 1-1-1 Higashi, Tsukuba, 305-8566, Japan, 81 029-861-6001.
This study examines the factors contributing to hikikomori, a severe social withdrawal. Findings will identify predictors and maintenance factors for this condition, aiding future interventions.
Area of Science:
- Psychiatry
- Psychology
- Sociology
Background:
- Hikikomori is a global phenomenon of severe social withdrawal, often co-occurring with mental health conditions like depression and anxiety.
- Existing research suggests links to emotion regulation, family dynamics, and internet use, but longitudinal data is lacking.
Purpose of the Study:
- To investigate the affective, behavioral, and cognitive factors associated with hikikomori symptoms.
- To explore how daily mood, social enjoyment, family support, and internet usage patterns maintain social withdrawal.
Main Methods:
- 84 participants (18-60 years) completed baseline surveys on hikikomori, internet addiction, depression, anxiety, autism, and fear of offending.
- 14-day ecological momentary assessment (EMA) captured mood, internet behavior, social interactions, and enjoyment 5 times daily.
- Post-monitoring surveys re-assessed hikikomori symptoms.
Main Results:
- Correlation and regression analyses will identify predictors of hikikomori symptoms, including internet addiction, social anxiety, and daily mood.
- Time-lagged network analyses will examine temporal dynamics and differences between high and low hikikomori symptom groups.
- Logistic regressions will determine factors predicting future social behavior.
Conclusions:
- This study pioneers longitudinal investigation into hikikomori mechanisms and time-varying relationships.
- Results will offer initial evidence for predictive factors and candidate mechanisms underlying hikikomori.
- Identified maintenance factors can inform targeted interventions for social withdrawal.
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