Table 5.
Factor | Citation | Statistical analysis | Finding | interpretation |
---|---|---|---|---|
Depressive Symptoms | Aguilar-Navarro, 2019 Ge, 2020 Kwan, 2019 Rivan, 2019 Rivan, 2020 Wu, 2020 |
Multinomial logistic regression Multinomial logistic regression Multinomial logistic regression Hierarchical binary logistic regression Stepwise binary logistic regression Multiple logistic regression |
Significant association 0.007 Significant association <0.001 Adjusted model significant association = 0.002 Significant association <0.001 Significant association = 0.007 Significant association = 0.022 |
Greater number of depressive symptoms associated with comorbidity Presence of depression associated with comorbidity Greater number of depressive symptoms associated with comorbidity Presence of depression associated with comorbidity Greater number of depressive symptoms associated with comorbidity Greater number of depressive symptoms associated with comorbidity |
Depression and anxiety | Li, 2020, | Poisson regression model | Significant association <0.001 | Reporting of problems with anxiety and depression associated with comorbidity |
Education level | Wu, 2020 | Multiple logistic regression | Not significant association = 0.924 | Years of education not associated with comorbidity |
Social Support | Rivan, 2019 | Hierarchical binary logistic regression | Significant association <0.001 | Reported lower levels of social support associated with comorbidity |