47 items found

Tags: Biotechnology Patient Health Questionnaire

Filter Results
  • dataset

    Clinical characteristics and physiology of patients.

    Clinical characteristics and physiology of patients.
  • dataset

    Logistic regression analysis for depression and its predictors among AGYW.

    Logistic regression analysis for depression and its predictors among AGYW.
  • dataset

    r37980778c78--5ef4472d0a330cbe7d3ecaf19c7f1808

    Demographic characteristics and their associations with possible Internet addiction and depression.
  • dataset

    Characteristics of the study population according to fruits and vegetables co...

    Characteristics of the study population according to fruits and vegetables consumption taking into account the complex sample design.
  • dataset

    r37980778c78--8ea8a429b9b8ba50c6a7c7283c06c4a5

    Rasch analysis of the PHQ-9 scale.
  • dataset

    Effects of a depression-focused internet intervention in slot machine gambler...

    BackgroundProblematic and pathological gambling have been linked to depression. Despite a high demand for treatment and negative financial consequences, only a small fraction of...
  • dataset

    r37980778c78--a8f5f28c1fe50f80b89b9a3a6368d259

    Principal component analysis of standardized residual correlations for items (in eigenvalue units).
  • dataset

    r37980778c78--c53b713277ef48be621c28dbf7204e84

    Association between fruits and vegetables consumption and depressive symptoms: Crude and adjusted models taking into account the complex sample design.
  • dataset

    r37980778c78--999a5f121b3687c53341ad6572053b8a

    Predictors for depression analyzed by logistic regression.
  • dataset

    r37980778c78--805de2801a0f24778b5040fef6e3b62a

    Logistic regression analysis for anxiety and its predictors among AGYW.
  • dataset

    r37980778c78--ee1258be30fd9f7f30d2ce55a93273e3

    Baseline participant characteristics by anxiety and depression symptoms.
  • dataset

    Sociodemographic gender characteristics for patient sample.

    Sociodemographic gender characteristics for patient sample.
  • dataset

    r37980778c78--c8b79e14ef7bd6fb319c55e64a576d2a

    Descriptive measures and item-test correlation of the items in the Patient Health Questionnaire-9 (two weeks).
  • dataset

    r37980778c78--67ff4f3f79da3eee3bfcd7c3faf15311

    Sample characteristics.
  • dataset

    r37980778c78--86a677f634cab27aa0c24722e17223c6

    N = 697 (DDS) and 684 (PHQ).
  • dataset

    r37980778c78--0f08063014dd24b4e7a400a6f674cd50

    Discriminant correlations of revised sense of coherence (SOC-R) scale with psychopathological measures.
  • dataset

    r37980778c78--0f0aa17f2a5ce7625994ce1cfc5eaa49

    ObjectivesAmong different factors, diet patterns seem to be related to depression. The aim of this study was to evaluate the association between the consumption of fruits and/or...
  • dataset

    Comparison of TEMPS-A scores among participants.

    Comparison of TEMPS-A scores among participants.
  • dataset

    Correlation between sub-scales of PHQ-9/HAMD-17 and plasma metabolites in med...

    Metabolites which have moderate correlation (absolute correlation coefficient value >0.2) with reciprocally synonymous sub-scale of PHQ-9/HAMD-17 are listed. Gray shaded denotes...
  • dataset

    r37980778c78--377fd1be7d3b255ab4996460383af9bf

    Interaction effect and between-subjects effect on Global FDDQL.