Evidence map›Paper›PMID 38273389›Full record

ArticleArchives of public health = Archives belges de sante publique2024

How gender and low mental health literacy are related to unmet need for mental healthcare: a cross-sectional population-based study in Sweden.

Sara Blom, Frida Lindh, Andreas Lundin, Bo Burström, Gunnel Hensing, Jesper Löve

Open access · goldAbstract read
In one paragraph

Article in Archives of public health = Archives belges de sante publique, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
8.7field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 16 citations in OpenAlex.

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  11. Exploring Mental Health Literacy and Quality of Life in Multiple Sclerosis: A Cross-Sectional Study.The Journal of neuroscience nursing : journal of the American Association of Neuroscience Nurses
    Article
  12. Association Between Self-Reported Psychiatric Diseases and Oral Health Among Older Adults.Special care in dentistry : official publication of the American Association of Hospital Dentists, the Academy of Dentistry for the Handicapped, and the American Society for Geriatric Dentistry
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Sara BlomSchool of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Box 453, 405 30, Gothenburg, Sweden. sara.blom@gu.se.
Frida LindhCentre for Epidemiology and Community Medicine, Region Stockholm, Solnavägen 1E, 104 31, Stockholm, Sweden.
Andreas LundinCentre for Epidemiology and Community Medicine, Region Stockholm, Solnavägen 1E, 104 31, Stockholm, Sweden.
Bo BurströmDepartment of Global Public Health, Karolinska Institutet, 171 77, Stockholm, Sweden.
Gunnel HensingSchool of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Box 453, 405 30, Gothenburg, Sweden.
Jesper LöveSchool of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Box 453, 405 30, Gothenburg, Sweden.
University of Gothenburg · SECentre for Palaeogenetics · SEKarolinska Institutet · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMen are more likely to have unmet need for mental healthcare than women. However, an under-investigated aspect of the gender difference is the role of mental health literacy. This study investigated how combinations of gender and mental health literacy were related to two indicators of unmet need: not perceiving a need for mental healthcare despite poor mental health, and refraining from seeking mental healthcare.

methodsThis cross-sectional study was based on a questionnaire sent to a general population sample, aged 16-84 years, in Stockholm County, Sweden, in 2019. Of the 1863 respondents (38%), 1563 were included (≥18 years). The sample was stratified into four groups, men and women with low or high mental health literacy, using the third quartile of the Mental Health Knowledge Schedule. The likelihood of not perceiving a need for mental healthcare and refraining from seeking mental healthcare, at any time in life, were investigated by calculating odds ratios with 95% confidence intervals.

resultsMen with low mental health literacy were most likely to not perceive a need for mental healthcare, also when adjusting for age, education, and poor mental health (OR 5.3, 95% CI 3.6-7.7), and to refrain from seeking mental healthcare, also when adjusting for age and education (OR 3.3, 95% CI 1.7-6.4), followed by men with high mental health literacy (OR 1.9, 95% CI 1.5-2.4, and OR 1.5, 95% CI 1.0-2.2) and women with low mental health literacy (OR 1.9, 95% CI 1.2-2.9, and OR 2.1, 95% CI 1.1-3.9). Women with high mental health literacy were least likely (reference group).

conclusionThe results show differences in the likelihood of unmet need for mental healthcare based on combinations of gender and mental health literacy level, with men having low mental health literacy being most at risk, and women with high mental health literacy being least at risk. This challenges generalisations of a gender difference in unmet need by showing heterogeneity among men and women based on mental health literacy. Men with low mental health literacy may be particularly in need of targeted interventions to reduce potential individual and societal consequences of their unmet need.

Indexed as

Anxiety disordersBarriers to careDepressionGenderHealth literacyMasculinityMental disordersMental health literacyMental health servicesUnmet need

Identifiers

PMID38273389
PMCPMC10809616
OpenAlexW4391226667

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.