| Title |
Prevalence and predictors of no lifetime utilization of mental health treatment among people with mental disorders in France: findings from the ‘Mental Health in General Population’ (MHGP) survey
|
|---|---|
| Published in |
Social Psychiatry and Psychiatric Epidemiology, April 2018
|
| DOI | 10.1007/s00127-018-1507-0 |
| Pubmed ID | |
| Authors |
Hélène Font, Jean-Luc Roelandt, Hélène Behal, Pierre-Alexis Geoffroy, Baptiste Pignon, Ali Amad, Nicolas Simioni, Guillaume Vaiva, Pierre Thomas, Alain Duhamel, Imane Benradia, Benjamin Rolland |
| Abstract |
No lifetime utilization of mental health treatment (NUMT) is an indicator of the treatment gap among people in need of treatment. Until now, the overall prevalence and predictors of NUMT have never been explored in France. In a 39,617-respondent survey, participants were assessed for NUMT, i.e., no lifetime psychotherapy, psychopharmacotherapy, or psychiatric hospitalization. Mental disorders were investigated using the Mini International Neuropsychiatric Interview (MINI 5.0.0). MINI diagnoses were grouped into five categories: mood disorders (MDs); anxiety disorders (ADs); alcohol use disorders (AUDs); substance use disorders (SUDs); and psychotic disorders (PDs). Using multivariable logistic regression models, we explored the factors associated with NUMT among the MINI-positive respondents. The odds ratio and 95% confidence interval were calculated for each factor. In total, 12,818 (32.4%) respondents were MINI-positive, 46.5% of them reported NUMT (35.6% for MDs, 39.7% for PDs, 42.8% for ADs, 56.0% for AUDs, and 56.7% for SUDs). NUMT was positively associated with being male [OR 1.75 (1.59-1.91)] and practising religion [OR 1.13 (1.02-1.25)] and negatively associated with ageing [per 10-year increase: OR 0.88 (0.85-0.91)], being single [OR 0.74 (0.66-0.84)], being a French native [OR 0.67 (0.60-0.75)], and experiencing MDs [OR 0.39 (0.36-0.43)], ADs [OR 0.47 (0.43-0.52)], AUDs [OR 0.83 (0.73-0.96)], SUDs [OR 0.77 (0.65-0.91)], or PDs [OR 0.50 (0.43-0.59)]. In France, NUMT rates were the highest for AUDs and SUDs. Additionally, suffering from MDs or ADs increased the lifetime treatment utilization for people having any other mental disorder. This finding emphasizes the need to better screen AUDs and SUDs among people treated for MDs or ADs. |
X Demographics
The data shown below were collected from the profiles of 23 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 15 | 65% |
| Réunion | 1 | 4% |
| Unknown | 7 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 22 | 96% |
| Scientists | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 20% |
| Student > Bachelor | 5 | 10% |
| Student > Ph. D. Student | 5 | 10% |
| Professor > Associate Professor | 3 | 6% |
| Student > Doctoral Student | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 20 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 13 | 25% |
| Medicine and Dentistry | 8 | 16% |
| Nursing and Health Professions | 2 | 4% |
| Linguistics | 1 | 2% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 4 | 8% |
| Unknown | 22 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 42. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 October 2023.
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#1,005,129
of 25,724,500 outputs
Outputs from Social Psychiatry and Psychiatric Epidemiology
#167
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Outputs of similar age
#22,157
of 343,824 outputs
Outputs of similar age from Social Psychiatry and Psychiatric Epidemiology
#6
of 35 outputs
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