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Predicting Mental Health Outcomes with Health with Health Literacy and Patient Activation.

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NIAID Data Ecosystem2026-03-07 收录
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https://figshare.com/articles/dataset/_Predicting_Mental_Health_Outcomes_with_Health_with_Health_Literacy_and_Patient_Activation_/788820
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Note: * = p<.05; ** = p<.01; *** = p<.001. PROMIS Anxiety: Model B1 – Gender, age, race, comorbidities, health literacy (F(8, 688) = 11.59***, R2adj = .109). Model B2 – Gender, age, race, comorbidities, PAM (F(8, 688) = 17.33***, R2adj = .158). Model B3 – Gender, age, race, comorbidities, health literacy and PAM (F(9, 687) = 15.80***, R2adj = .161). PROMIS Depression: Model C1 – Gender, age, race, comorbidities, health literacy (F(8, 688) = 19.05***, R2adj = .172). Model C2 – Gender, age, race, comorbidities, PAM (F(8, 688) = 25.92***, R2adj = .223). Model C3 – Gender, age, race, comorbidities, health literacy and PAM (F(9, 687) = 25.23***, R2adj = .239).
创建时间:
2013-09-04
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