Real-world patient experience with sexual dysfunction and antidepressant use in patients with self-reported depression: A cross-sectional survey study
Open accessAbstract
Sexual dysfunction negatively impacts quality of life and relationship satisfaction in patients with major depressive disorder (MDD). This study’s objective was to understand real-world experiences with sexual dysfunction in patients with MDD. This survey study included 483 participants (≥18 years old) from the PatientsLikeMe® network who reported an MDD diagnosis. Sexual dysfunction (self-attributed and as evaluated by the Changes in Sexual Functioning Questionnaire [CSFQ-14]), relationship satisfaction, depression severity, and medication adherence were assessed. Of the patients currently taking antidepressants (N = 405), sexual dysfunction was reported in approximately half (self-attributed, 52 % and per CSFQ-14, 56 %). Forty-eight percent of these patients indicated they would continue medication until sexual side effects abated. Fewer than half of patients with self-attributed sexual dysfunction, reported for at least one antidepressant, had spoken with their doctor about sexual side effects; of these, about one-third were switched to another antidepressant. Sexual dysfunction was associated with depression severity, diminished relationship satisfaction, and lower self-esteem in patients currently taking antidepressants. This is a convenience sample; data are based on self-report without independent verification of the diagnoses. The cross-sectional design also limits conclusions about causality and directionality. The generalizability of the findings is limited, as the patient sample was predominantly female, white, college educated, and moderately to severely depressed. New strategies for managing sexual dysfunction in patients with MDD who are taking antidepressants are critically needed to provide these patients with the best chance for successful treatment outcomes.
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There are also efforts to use a multimodal framework to combine heterogeneous sets of features obtained from social media data, including inferences of demographic information (eg, age, sex, and race), that can be crucial for stratifying our understanding of population-level epidemiology of mental health disorders like depression and help develop demographic-aware interventions.
“There are also efforts to use a multimodal framework to combine heterogeneous sets of features obtained from social media data, including inferences of demographic information (eg, age, sex, and race), that can be crucial for stratifying our understanding of population-level epidemiology of mental health disorders like depression and help develop demographicaware interventions.79,80”
From Digital health technologies and major depressive disorder (2023) · cites this paper as [79]
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- Authors
- Jacobsen, P. L., Thorley, E. M., & Curran, C.
- Affiliations
- PatientsLikeMe (United States) (US)
- Corresponding author
- Jacobsen, Paula L.
- Venue
- Neurology, Psychiatry and Brain Research
- Publisher
- Elsevier BV
- Published
- 2020-06
- Volume
- 36
- Pages
- 57-64
- ISSN
- 0941-9500 (ISSN-L)
- OpenAlex
- W3013774370
- Cited by
- 19
- References
- 44
- Citations by year
- 2026: 5 · 2025: 1 · 2024: 2 · 2023: 4 · 2022: 4 · 2020: 3
- FWCI
- 2.02
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Neurology Psychiatry and Brain Research (publishedVersion, cc-by-nc-nd)
- Funders
- Takeda Pharmaceuticals U.S.A.
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Sexual function and dysfunction studies
- Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
- Social Sciences › Psychology › Clinical Psychology › Sexuality, Behavior, and Technology
- Keywords
- sexual dysfunction, major depressive disorder, antidepressants, medication adherence, relationship satisfaction, self-esteem, depression severity, patient experience, antidepressant switching, PatientsLikeMe
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