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Record W4385064343 · doi:10.1186/s12889-023-16280-9

The level of education is associated with an anxiety-depressive state among men and women – findings from France during the first quarter of the COVID-19 pandemic

2023· article· en· W4385064343 on OpenAlexaboutno aff
Camille Joannès, Niamh M Redmond, Michelle Kelly‐Irving, Joséphine Klinkenberg, Cassandra Guillemot, Florence Sordes, Cyrille Delpierre, Lola Neufcourt, Jean-Charles Basson, Beltran Grégory, Boulaghaf Laurence, Cave Alizé, Cipriani Enzo, Coeurdevey Eleonore, Croiset Aurélie, Delpierre Cyrille, Faya-Robles Alfonsina, Kelly-Irving Michelle, Maurel Marine, Nicaise Sarah, Sallie Alexandra, Srocynski Meryl

Bibliographic record

VenueBMC Public Health · 2023
Typearticle
Languageen
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsnot available
FundersRégion Occitanie Pyrénées-MéditerranéeAgence Nationale de la Recherche
KeywordsMedicineBiostatisticsPandemicCoronavirus disease 2019 (COVID-19)Quarter (Canadian coin)AnxietyEpidemiologyPublic health2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Young adultPsychiatryClinical psychologyGerontologyVirologyInfectious disease (medical specialty)DiseaseNursingInternal medicine

Abstract

fetched live from OpenAlex

Abstract Context It is widely recognised that the COVID-19 pandemic has negatively impacted individuals’ mental health. However, little emphasis has been put on the possible influence of socio-economic factors in the relationship. In the context of the COVID-19 pandemic, our objectives were (i) to assess the relationship between education level and mental health in French adults, and (ii) to study the influence of the economic, social, health and the COVID-19-related factors in men and women respectively. Method Data are from 32,581 individuals representative of the French population who responded to the weekly survey “Baromètre COVID-19” between April 7 th and May 31 st 2020. Education level was self-reported (university degree, high school qualification, vocational certificate/qualification, no diploma). Anxiety-depressive state was derived from four items related to the frequency of occurrence of depressive and anxiety symptoms, and summarized in an overall validated anxiety-depressive score. Multivariate linear regression analyses were carried out with nested adjustments of variables related to economic, social, health and COVID-19 contexts to assess the relationship between education and anxiety-depressive state. Results In total, 45% of individuals reported symptoms of anxiety-depressive state (53% in women versus 36% in men). Among men, those with a vocational certificate/qualification and those with no diploma had a greater risk of having a higher anxiety-depressive state compared to those with a university degree (β Vocational certificate/qualification = 0.16 [0.04; 0.27]; β No diploma = 0.75 [0.43; 1.07]) while among women, the risk of anxiety-depressive state increased as education level decreased (β Baccalaureate = 0.37 [0.25; 0.49]; β Vocational certificate/qualification = 0.41 [0.28; 0.54]; β No diploma = 0.8 [0.49; 1.12]). For both men and women, economic, health, and COVID-19 factors partly attenuate these associations while social factors marginally modified the relationship. After accounting for confounders and intermediate variables, the absence of a diploma remained associated with anxiety-depressive state among men, while the whole educational gradient of anxiety-depressive state persisted among women. Conclusion In France, at the end of the first wave of COVID-19, individuals with a lower level of education had a higher risk of anxiety-depressive state. This association was more pronounced for women, highlighting a process of social inequality in health possibly related to gender. This should be considered in future prevention and public health interventions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.112
Threshold uncertainty score0.222

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.089
GPT teacher head0.386
Teacher spread0.296 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations33
Published2023
Admission routes1
Has abstractyes

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