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Curiosity helps: Growth in need for cognition bidirectionally predicts future reduction in anxiety and depression symptoms across 10 years
Nur Hani Zainal,
Michelle G. Newman
Psychology
Department of Psychiatry and Behavioral Health
Penn State Cancer Institute
Cancer Institute, Cancer Control
Research output
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Contribution to journal
›
Article
›
peer-review
17
Scopus citations
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Dive into the research topics of 'Curiosity helps: Growth in need for cognition bidirectionally predicts future reduction in anxiety and depression symptoms across 10 years'. Together they form a unique fingerprint.
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Keyphrases
Depressive Symptoms
100%
Anxiety Symptoms
100%
Need for Cognition
100%
Bivariate
42%
Latent Change Score
42%
Random Intercept Cross-lagged Panel Model (RI-CLPM)
42%
Anxiety Level
14%
Cognitive Processes
14%
Anxiety Disorders
14%
At-risk
14%
Small Changes
14%
Evidence-based
14%
Cognitive Behavior
14%
Within-person Effects
14%
Within-person Level
14%
Measurement Error
14%
Community-dwelling Adults
14%
Therapeutic Strategies
14%
Lag Effect
14%
Causal Inference
14%
Baseline Scores
14%
Autoregressive Effects
14%
Demographic Covariates
14%
Depression Disorder
14%
Depression Level
14%
Psychology
Mental Health
100%
Cognitive Process
100%
Anxiety Disorder
100%
Measurement Error
100%
Causal Inference
100%