Is knowledge “half the battle”? The role of depression literacy in help-seeking among a non-clinical sample of adults with currently untreated mental health problems
Abstract
BACKGROUNDS The concept of mental health literacy suggests that higher literacy increases the likelihood of seeking treatment. However, previous studies mostly use vignettes, and do not investigate actual help-seeking behaviour. METHODS We assessed depression literacy and type of mental illness in a convenience sample of 207 adults with currently untreated mental health problems from the general population. Our analysis sample comprised 152 adults (Mage = 52.12; 73.0% female) with a depressive disorder. Help-seeking behaviour was measured 3 and 6 months after the initial assessment. We conducted multiple logistic regression models to test whether depression literacy predicted help-seeking from mental health professionals, general practitioner, family and friends, or counselling, controlling for sociodemographic data, and depression severity. RESULTS Depression literacy was lower in men and older participants, and higher in participants with prior treatment experience. Depression literacy was negatively linked to informal help-seeking (aOR = 0.33 [0.13; 0.84]) when included as a dichotomous predictor (i.e., 'high' versus 'low' literacy). LIMITATIONS Our sample was small, thus we did not differentiate between types of depressive disorders in our analysis. CONCLUSION We could not corroborate most postulated associations between depression literacy and help-seeking, except for the negative association with informal help. Our findings underline differences between previous vignette-based and community-based investigations of the help-seeking process for mental health problems. To explore underlying mechanisms, future research should investigate the role of intermediary variables and processes in the association between depression literacy and help-seeking, such as self-efficacy and symptom attribution, which might be more clinically relevant in help-seeking for depressive symptoms.
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Improving mental health literacy is only "half the battle."
“improving mental health literacy is only “half the battle.” 37”
From Technology-Based Interventions to Improve Help-Seeking for Mental Health Concerns: A Systematic Review (2022) · cites this paper as [37]
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- Authors
- Tomczyk, S., Muehlan, H., Freitag, S., Stolzenburg, S., Schomerus, G., & Schmidt, S.
- Affiliations
- Universität Greifswald (DE)
- Universitätsmedizin Greifswald (DE)
- Corresponding author
- Tomczyk, S.
- Venue
- Journal of Affective Disorders
- Publisher
- Elsevier BV
- Published
- 2018-10
- Volume
- 238
- Pages
- 289-296
- ISSN
- 0165-0327 (ISSN-L)
- OpenAlex
- W2807640090
- Semantic Scholar
- 7a8a50f871522213192a7c68d501dae9e6d3a9b3
- Cited by
- 46
- References
- 49
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 9 · 2023: 6 · 2022: 6 · 2021: 4 · 2020: 7 · 2019: 9
- FWCI
- 6.78
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Affective Disorders (publishedVersion)
- PubMed (publishedVersion)
- Funders
- German Research Foundation (SCHO 1337/4-1, SCHM 2683/4-1)
- Topics
- Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
- Social Sciences › Psychology › Clinical Psychology › Suicide and Self-Harm Studies
- Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
- Keywords
- depression literacy, mental health literacy, help-seeking, untreated depression, depressive disorders, informal help-seeking, general practitioners, counseling, gender differences, age differences, prior treatment experience
- MeSH terms
- Help-Seeking Behavior, Adult, Mental Disorders, Depression, Female, Humans, Health Knowledge, Attitudes, Practice, Male, Middle Aged, Patient Acceptance of Health Care, Health Literacy
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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