Predictors of Self-Rated Health in IT and Media Workers
Author Information
Author(s): Hasson Dan, Arnetz Bengt B, Theorell Töres, Anderberg Ulla Maria
Primary Institution: Karolinska Institute
Hypothesis
What characteristics predict individuals improving or worsening in self-rated health over time?
Conclusion
Baseline self-rated health and other self-ratings are predictive of future self-rated health.
Supporting Evidence
- Baseline self-rated health was a major predictor of future self-rated health.
- Self-esteem and social support were also significant predictors of future self-rated health.
- Participants in the top self-rated health quartile at baseline were approximately 4.4 times more likely to remain in the top quartile at the 12-month follow-up.
Takeaway
This study looked at how people rate their health and what factors might help predict if their health will get better or worse over a year.
Methodology
A prospective study with measurements at 0, 6, and 12 months involving 303 employees from IT and media companies.
Potential Biases
No significant differences in dropout rates between groups, but potential biases in self-reported measures.
Limitations
The study group consisted of a healthy, working sample, which may not be generalizable to other populations.
Participant Demographics
303 employees (187 men and 116 women, age 23–64) from four IT and two media companies.
Statistical Information
P-Value
0.001
Confidence Interval
95% CI 1.834–10.543
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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