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Analysing a mental health survey by chi-squared automatic interaction detection
1Department of Economics and Statistics, National University of Singapore.
Annals of the Academy of Medicine, Singapore
|May 1, 1993
Summary
A 1987 Singapore mental health survey identified vulnerable groups using Chi-Squared Automatic Interaction Detection (CHAID). Key factors included perceived health, recent problems, depression, family support, and life events.
Area of Science:
- Public Health
- Psychiatry
- Statistics
Background:
- Mental health vulnerability is a significant public health concern.
- Understanding risk factors is crucial for targeted interventions.
- Previous studies in Singapore lacked detailed demographic analysis of mental health risks.
Purpose of the Study:
- To identify characteristics of individuals vulnerable to mental health problems in Singapore.
- To explore the utility of the CHAID technique in mental health research.
- To provide data for developing preventive mental health strategies.
Main Methods:
- Utilized data from a 1987 mental health survey of Singapore residents.
- Employed Chi-Squared Automatic Interaction Detection (CHAID) for exploratory analysis.
- Analyzed sixteen potential predictors of mental health vulnerability.
Main Results:
- Five predictors significantly identified vulnerable groups: perceived health, recent problems, depression, perceived family support, and life events score.
- CHAID analysis generated a useful dendrogram illustrating predictor relationships.
- The dendrogram facilitated classification of vulnerable populations.
Conclusions:
- Perceived health, recent stressors, and social support are key indicators of mental health vulnerability.
- CHAID is an effective method for visualizing and understanding complex predictor-outcome relationships in mental health.
- Findings can inform public health initiatives for mental well-being in Singapore.