Negative Automatic Thoughts
Cross-source consensus on Negative Automatic Thoughts from 1 sources and 5 claims.
1 sources · 5 claims
Uses
How it works
Risks & contraindications
Other
Highlighted claims
- Mean negative thought scores in the sample averaged 4.8, while mean positive thought scores averaged 6.1. — Factors associated with low levels of resilience among French university students during COVID-19 lockdown: results of the cross-sectional PIMS-CoV19 survey
- Negative thoughts were strongly associated with low resilience, with an odds ratio of 1.4 (95% CI 1.4–1.5) per unit increase. — Factors associated with low levels of resilience among French university students during COVID-19 lockdown: results of the cross-sectional PIMS-CoV19 survey
- Negative thoughts were identified as a particularly important and potentially modifiable factor associated with low resilience. — Factors associated with low levels of resilience among French university students during COVID-19 lockdown: results of the cross-sectional PIMS-CoV19 survey
- Negative automatic thoughts function as internal discourse activated by stressful events, which may arise consciously or unconsciously and become repetitive and invasive. — Factors associated with low levels of resilience among French university students during COVID-19 lockdown: results of the cross-sectional PIMS-CoV19 survey
- Negative automatic thoughts are potentially modifiable through cognitive behavioural therapy, making them a target for resilience-building interventions. — Factors associated with low levels of resilience among French university students during COVID-19 lockdown: results of the cross-sectional PIMS-CoV19 survey