1 resultado para Random regression models
em Research Open Access Repository of the University of East London.
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Resumo:
Objective: To explore the non-pharmacological correlates of the perceived effectiveness of antidepressants (ADs), thereby enhancing understanding of the mechanisms involved in recovery from depression while taking ADs. Method: An online survey was completed by 1781 New Zealand adults who had taken ADs in the previous 5 years. Results: All 18 psychosocial variables measured were associated with depression reduction, and 16 with improved quality of life (QoL). Logistic regression models revealed that the quality of the relationship with the prescriber was related to both depression reduction and improved QoL. In addition, depression reduction was related to younger age, higher income, being fully informed about ADs by the prescriber, fewer social causal beliefs for depression and not having lost a loved one in the 2 months prior to prescription. Furthermore, both outcome measures were positively related to belief in ‘chemical’ rather than ‘placebo’ effects. Conclusion: There are multiple non-pharmacological processes involved in recovery while taking ADs. Enhancing them, for example focusing on the prescriber–patient relationship and giving more information, may enhance recovery rates, with or without ADs.