ArticleCNS neuroscience & therapeutics2019
Clinical characteristics associated with therapeutic nonadherence of the patients with major depressive disorder: A report on the National Survey on Symptomatology of Depression in China.
Article in CNS neuroscience & therapeutics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 15 citations in OpenAlex.
- Program of algorithm for pharmacological treatment of major depressive disorder in China: Benefits or not?Heliyon · 2023Article
- Association between childhood trauma and medication adherence among patients with major depressive disorder: the moderating role of resilience.BMC psychiatry · 2022Article
- Factors influencing medication adherence among patients with severe mental disorders from the perspective of mental health professionals.BMC psychiatry · 2022Article
- Article
- COVID-19 and post-traumatic stress disorder: A vicious circle involving immunosuppression.CNS neuroscience & therapeutics · 2020Review
- Clinical characteristics associated with therapeutic nonadherence of the patients with major depressive disorder: A report on the National Survey on Symptomatology of Depression in China.CNS neuroscience & therapeutics · 2019Article
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Authors and funding
11 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsNonadherence is one of the leading challenges to treatment of the major depressive disorder (MDD). Few studies have systematically analyzed the relationship between clinical characteristics, especially symptoms of depressive patients and their therapeutic nonadherence over a relatively large sample. This study aimed to investigate factors of nonadherence in a nationwide survey in China.
methodsParticipants with MDD who met the criteria of Diagnostic and Statistical Manual of Mental Disorders (Fourth Edition) (DSM-IV) were recruited from 32 sites throughout China. Patients were all over 16 years old. A doctor-rating questionnaire with 64 symptoms based on DSM-IV was constructed to evaluate depression-related feeling and behavior. Single-factor logistic regression was utilized to screen variables, and multifactor logistic regressive analysis was used to identify which factors were risk or protective for nonadherence. We included 882 patients of poor adherence and 857 patients of good adherence.
resultsRecurrence, untreated first episode, tricyclic antidepressant (TCA)-treated first episode, antidepressant-only-treated current episode, decrease or loss of interest, more somatic symptoms, and "atypical" symptoms were risk factors for nonadherence, whereas selective noradrenaline reuptake inhibitor (SNRI)-treated first episode was a protecting factor.
conclusionClinical characteristics may play an important role in predicting nonadherence. Doctors may have to pay much attention on patients with these factors and should keep on discussing them with patients.
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