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1.
J Res Pers ; 992022 Aug.
Article in English | MEDLINE | ID: mdl-36793507

ABSTRACT

Underutilization of mental health services is prevalent in the U.S., and an understanding of utilization patterns can inform interventions to enhance treatment use. The current study investigated longitudinal associations between changes in mental health care utilization (MHCU) and Big Five personality traits. Data included three waves (4,658 adult participants) of the Midlife Development in the United States (MIDUS) study. 1,632 participants provided data at all three waves. Second-order latent growth curve models showed that MHCU level predicted an increase in emotional stability, and emotional stability level predicted a decrease in MHCU. Increases in emotional stability, extraversion, and conscientiousness predicted decreases in MHCU. These results indicate that personality is associated with MHCU over time and may inform interventions to increase MHCU.

2.
Article in English | MEDLINE | ID: mdl-35356090

ABSTRACT

Personality traits are important predictors of health behaviors, healthcare utilization, and health outcomes. However, we know little about the role of personality traits for emergency department outcomes. The present study used data from 200 patients (effective Ns range from 84 to 191), who were being discharged from the emergency department at an urban hospital, to investigate whether the Big Five personality traits were associated with post-discharge outcomes (i.e., filling prescriptions, following up with primary care physician, making an unscheduled return to the emergency department). Using logistic regression, we found few associations among the broad Big Five domains and post-discharge outcomes. However, results showed statistically significant associations between specific Big Five items (e.g., "responsible") and the three post-discharge outcomes. This study demonstrates the feasibility of assessing personality traits in an emergency medicine setting and highlights the utility of having information about patients' personality tendencies for predicting post-discharge compliance.

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