Prevalence of psychotic disorders in an urban area of France

Urbanicity and psychotic disorders: Facts and hypotheses

In the present qualitative literature review, we summarise data on psychotic disorders and urbanicity, focusing particularly on recent findings. Longitudinal studies of the impact of urbanicity on the risk for psychotic disorders have consistently shown a significant association, with a relative risk between 2 and 2.5. However, most of the original studies were conducted in Western Europe, and no incidence studies were conducted in low- and middle-income countries. European studies suggest that neighbourhood-level social fragmentation and social capital may partly explain this association. Exposure to air pollution (positive association) and green space (negative association) may also be part of the explanation, but to date, available data do not make it possible to conclude if they act independently from urbanicity, or as part of the effect of urbanicity on psychotic disorders. Finally, several studies have consistently shown significant associations between the polygenic risk score for schizophrenia and urbanicity, with several possible explanations (pleiotropic effects, results of prodromic symptoms, or selection/intergenerational hypothesis). Thus, more studies are needed to understand the factors that explain the association between urbanicity and the risk of psychotic disorders. Further studies should account for the interdependence and/or interactions of different psychosocial and physical exposures (as well as gene-environment interactions), and explore this association in low- and middle-income countries.

The risk of hospitalization for psychotic disorders following hospitalization for COVID-19: a French nationwide longitudinal study

COVID-19, like other infectious diseases, may be a risk factor for psychotic disorders. We aimed to compare the proportions of hospitalizations for psychotic disorders in the 12 months following discharge from hospital for either COVID-19 or for another reason in the adult general population in France during the first wave of the pandemic. We conducted a retrospective longitudinal nationwide study using the national French administrative healthcare database. Psychotic disorders were first studied as a whole, and then chronic and acute disorders separately. The role of several adjustment factors, including sociodemographics, a history of psychotic disorder, the duration of the initial hospitalization, and the level of care received during that hospitalization, were also analyzed. Between 1 January 2020 and 30 June 2020, a total of 14,622 patients were hospitalized for psychotic disorders in the 12 months following discharge from hospital for either COVID-19 or another reason. Initial hospitalization for COVID-19 (vs. another reason) was associated with a lower rate of subsequent hospitalization for psychotic disorders (0.31% vs. 0.51%, odds ratio (OR) = 0.60, 95% confidence interval (CI) [0.53-0.67]). This was true for both chronic and acute disorders, even after adjusting for the various study variables. Importantly, a history of psychotic disorder was a major determinant of hospitalization for psychotic disorders (adjusted OR = 126.56, 95% CI [121.85-131.46]). Our results suggest that, in comparison to individuals initially hospitalized for another reason, individuals initially hospitalized for COVID-19 present a lower risk of hospitalization for first episodes of psychotic symptoms/disorders or for psychotic relapse in the 12 months following discharge. This finding contradicts the hypothesis that there is a higher risk of psychotic disorders after a severe COVID-19.

Use of psychotropic medications in adults with intellectual disability: A systematic review and meta-analysis

OBJECTIVE

This study presents the proportion of adults with intellectual disability using psychotropic medications including antipsychotics, antidepressants, anxiolytics, hypnotics and sedatives, and psychostimulants.

METHODS

A search was performed in PubMed, Embase, PsycINFO, Web of Science, and Scopus up to 31 December 2021. Articles were included if they reported the proportion of adults with intellectual disability using psychotropic medications. Frequency of use was estimated using a random effects meta-analysis. Meta-regression analysis was used to assess the association between study-level characteristics and variability in estimates, when heterogeneity was considerable.

RESULTS

Twenty-four articles were included in pooled analysis. The pooled prevalence of psychotropic medications was 41% (95% confidence interval: 35-46%). Pooled prevalences of subclasses were as follows: antipsychotics 31% (27-35%), antidepressants 14% (9-19%), anxiolytics 9% (4-15%), hypnotics/sedatives 5% (2-8%), and psychostimulants 1% (1-2%). Heterogeneity was considerable between studies, except for psychostimulants. There was no significant association between assessed characteristics and variability in prevalence estimates.

CONCLUSION

Two-fifths of adults with intellectual disability were prescribed psychotropic medications. Antipsychotics and antidepressants were used by one-third and one-seventh of adults, respectively. There was considerable variability between studies, and further investigation is required to determine the source of variability. More studies are needed to better characterise prescribed psychotropic medications, including effectiveness and adverse effects, to ensure appropriate use of these drugs.

Gender-related associations between psychiatric disorders and alcohol use disorder: Findings from the french "Mental health in the general population" survey

Women with alcohol use disorder (AUD) might be particularly vulnerable to psychiatric comorbidities. However, population surveys have yielded disparate findings. We used data from the French Mental Health in the General Population survey to investigate gender-related risks of psychiatric comorbidities associated with AUD. A cross-sectional survey based on face-to-face interviews, including the Mini International Neuropsychiatric Interview, was conducted among 38,717 subjects. Logistic regression models were used to assess risks of psychiatric comorbidities associated with AUD. After adjustment for socio-demographics and other psychiatric disorders, both women and men with AUD were at higher risk of comorbid depressive disorder (odds ratio [OR] = 2.6, 95% confidence interval [CI]: 2.0-3.4 in women, and OR = 2.0, 95% CI: 1.7-2.4 in men), bipolar I disorder (2.5; 1.4-4.4 in women vs. 2.6; 1.9-3.4 in men), and psychotic disorder (1.6; 1.01-2.5 in women vs. 1.8; 1.4-2.3 in men). Women with AUD exhibited an increased risk of comorbid panic disorder (OR = 1.6, 95% CI: 1.1-2.2) while the increased risk of post-traumatic stress disorder (PTSD) was significant in men only (OR = 2.6, 95% CI: 1.6-4.2). The increased risk of comorbid substance use disorder (SUD) was more elevated in women, compared to men (12.9; 8.1-18.1 vs. 4.8; 4.0-5.8 in men). Most of psychiatric conditions were over-represented in both women and men with AUD, relative to controls. Gender-specific findings were that women with AUD had an increased risk of comorbid SUD or panic disorder, while men had a significantly higher risk of comorbid PTSD.

Health and work disability outcomes in parents of patients with schizophrenia associated with antipsychotic exposure by the offspring

This study aimed to identify if antipsychotic exposure in offspring is associated with psychiatric and non-psychiatric healthcare service use and work disability of their parents. This Swedish population-based cohort study was based on data comprising 10,883 individuals with schizophrenia, who had at least one identifiable parent in the nationwide registers, and their parents (N = 18,215). The register-based follow-up during 2006–2013 considered the level of antipsychotic exposure and persistence of use of the offspring, further categorized into first (FG) and second generation (SG) antipsychotics, and orals versus long-acting injections (LAIs). The main outcome measure was parental psychiatric healthcare service use, secondary outcomes were non-psychiatric healthcare use and long-term sickness absence. SG-LAI use was associated with a decreased risk (relative risks [RR] 0.81-0.85) of parental psychiatric healthcare use compared with not using SG-LAI, whereas oral antipsychotics were associated with an increased risk (RRs 1.10–1.29). Both FG- and SG-LAI use by the offspring were associated with a lower risk of long-term sickness absence (range of odds ratios 0.34–0.47) for the parents, compared with non-use of these drugs. The choice of antipsychotic treatment for the offspring may have an impact on work disability and healthcare service use of their parents.

Relationship between incidence and prevalence in psychotic disorders: An incidence-prevalence-mortality model

OBJECTIVES

Incidence-prevalence-mortality (IPM) models have been developped to estimate incidence or prevalence when one of these two measures is unavailable. We aimed to test the consistency of an IPM model of psychotic disorders on a recent incidence-prevalence couple dataset and to identify potential causes of inconsistency by applying the model to (a) the whole population, (b) female and male subgroups, (c) migrant subgroups, and (d) psychotic disorders with age at onset (AAO) between 18 and 24 (18-24 AAO).

METHODS

We modelled prevalence (MP) using incidence data and the expected mortality and remission values. We then compared the MP to the observed prevalence (OP).

RESULTS

In the whole population, the model significantly underestimated the prevalence (MP = 3.30, 95% CI [2.97, 3.66]; OP = 4.98, 95% CI [4.58, 5.41]). The results were similar for the two genders. In the migrants group, results were in the opposite direction, the model significantly overestimating the prevalence. Finally, in the 18-24 AAO subgroup, the model performed well, with OP and MP not significantly different.

CONCLUSION

These results suggest that standard IPM models do not perform well for psychotic disorders and more complex models taking into account the heterogeneity of the sample (in terms of remission, mortality, population movements, etc.) need to be developed.

Increased prevalence of anxiety disorders in third-generation migrants in comparison to natives and to first-generation migrants

INTRODUCTION

We sought to examine the prevalence of anxiety disorders associated with migration in the first-, second- and third-generation.

METHODS

The French Mental Health in the General Population cross-sectional survey interviewed 38,694 individuals using the MINI. The prevalence of lifetime anxiety disorders, and comorbidities was compared between migrants and non-migrants and by generation. All analyses were adjusted for age, sex, and income and education levels.

RESULTS

In comparison to natives, pooled anxiety disorders were more common among migrants (25.3% vs. 20.7%, OR = 1.24) and among the three studied generations of migrants. Moreover, the prevalence rate of the pooled anxiety disorders was significantly higher in third-generation migrants, in comparison to first-generation (26.7% vs. 22.6%, OR = 1.14). Prevalence rates were higher in migrants for panic disorder (6.6% vs. 5.3%, OR = 1.20), general anxiety disorder (15.0% vs. 12.0%, OR = 1.24), posttraumatic stress disorder (1.0% vs. 0.6%, OR = 1.51), but not for social anxiety disorder. In comparison to natives, migrants with anxiety disorders had higher prevalence rates of suicide attempts (14.0% vs. 12.8% for natives), psychotic disorders (8.3% vs. 5.7%), unipolar depressive disorder (29.5% vs. 25.4%), bipolar disorder (5.0% vs. 4.0%), and addictive disorders (9.6% vs. 6.2% for alcohol use disorder, 8.2% vs. 4.1% for substance use disorders).

CONCLUSION

Migration was associated with a higher prevalence of all anxiety disorders, in the first, second and third generation, and associated with more psychiatric comorbidities. Moreover, the prevalence increased across generations, and was significantly higher among third-generation migrants, in comparison to first-generation.

Sociodemographic and clinical correlates of psychotic symptoms in the general population: Findings from the MHGP survey

BACKGROUND

We aimed to explore the sociodemographic and psychiatric correlates of psychotic symptoms in a large general population sample.

METHODS

The French Mental Health in the General Population cross-sectional survey interviewed 38,694 individuals using the Mini International Neuropsychiatric Interview. We looked for associations between the presence of lifetime psychotic symptoms, sociodemographic characteristics (including migrant status over three generations) and clinical characteristics. We then looked for associations regarding only hallucinations, delusional symptoms, and the co-occurrence of both hallucinations and delusional symptoms. To test the psychosis continuum hypothesis, associations with sociodemographic characteristics were compared with the characterized psychotic disorders' associations.

RESULTS

We found that 22.3% of the population declared psychotic symptoms without psychotic disorders, including 5.7% who declared hallucinations, 20.5% delusional symptoms, 4.0% both hallucinations and delusional symptoms, and 2.8% characterized psychotic disorders. The presence of psychotic symptoms was associated with young age, migrant status (over three generations), secondary education level, low-income level and never-married and separated marital status. Hallucinations, delusional symptoms and the co-occurrence of both hallucinations and delusional symptoms showed the same correlates, and hallucinations were also associated with elementary education level. Characterized psychotic disorders showed the same correlates. Concerning clinical outcomes, the presence of psychotic symptoms, hallucinations and delusional symptoms was associated with all non-psychotic disorders, i.e., bipolar, depressive, alcohol use, generalized anxiety, social phobia, panic and post-traumatic stress disorders and dysthymia (except dysthymia, which was not associated with hallucinations).

CONCLUSIONS

Our results indicate that psychotic symptoms are associated with broad psychopathologies and support the continuum model of psychosis.

Use of medical administrative data for the surveillance of psychotic disorders in France

BACKGROUND

Psychotic disorders are among the most severe psychiatric disorders that have great effects on the individuals and the society. For surveillance of chronic low prevalence conditions such as psychotic disorders, medical administrative databases can be useful due to their large coverage of the population, their continuous availability and low costs with possibility of linkage between different databases. The aims of this study are to identify the population with psychotic disorders by different algorithms based on the French medical administrative data and examine the prevalence and characteristics of this population in 2014.

METHODS

The health insurance system covers the entire population living in France and all reimbursements of ambulatory care in private practice are included in a national health insurance claim database, which can be linked with the national hospital discharge databases. Three algorithms were used to select most appropriately persons with psychotic disorders through data from hospital discharge databases, reimbursements for psychotropic medication and full insurance coverage for chronic and costly conditions.

RESULTS

In France in 2014, estimates of the number of individuals with psychotic disorders were 469,587 (54.6% males) including 237,808 with schizophrenia (63.6% males). Of those, 77.0% with psychotic disorders and 70.8% with schizophrenia received exclusively ambulatory care. Prevalence rates of psychotic disorders were 7.4 per 1000 inhabitants (8.3 in males and 6.4 in females) and 3.8 per 1000 inhabitants (4.9 in males and 2.6 in females) for schizophrenia. Prevalence of psychotic disorders reached a maximum of 14 per 1000 in males between 35 and 49 years old then decreased with age while in females, the highest rate of 10 per 1000 was reached at age 50 without decrease with advancing age. No such plateau was observed in schizophrenia.

DISCUSSION

This study is the first in France using an exhaustive sample of medical administrative data to derive prevalence rates for psychotic disorders. Although only individuals in contact with healthcare services were included, the rates were congruent with reported estimates from systematic reviews. The feasibility of this study will allow the implementation of a national surveillance of psychotic disorders essential for healthcare management and policy planning.

Neighbourhood level social deprivation and the risk of psychotic disorders: a systematic review

PURPOSE

The incidence of psychotic disorders varies according to the geographical area, and it has been investigated whether neighbourhood level factors may be associated with this variation. The aim of this systematic review is to collate and appraise the literature on the association between social deprivation and the incidence or risk for psychotic disorders.

METHOD

A systematic review was conducted, and studies were included if they were in English, provided a measure of social deprivation for more than one geographically defined area and examined either the correlation, rate ratio or risk of psychotic disorder. A defined search strategy was undertaken with Medline, CINAHL Plus and PsychInfo databases.

RESULTS

A total of 409 studies were identified in the search, of which 28 fulfilled the inclusion criteria. Of these, four examined the association between social deprivation at the time of birth, three examined the putative prodrome of psychosis or those at ultra-high risk (UHR) for psychosis, and 23 examined the time at presentation with a first episode of psychosis (FEP) (one study examined two time points and one study included both UHR and FEP). Three of the studies that examined the level of social deprivation at birth found an association with a higher risk for psychotic disorders and increased social deprivation. Seventeen of the 23 studies found that there was a higher risk or rate of psychotic disorders in more deprived neighbourhoods at the time of presentation; however, adjusting for individual factors tended to weaken this association. Limited research has been conducted in the putative prodromal stage and has resulted in conflicting findings.

CONCLUSIONS

Research conducted to date has not definitively identified whether the association is a result of social causation or social drift; however, the findings do have significant implications for service provision, such as the location and access of services.

Spatial distribution of psychotic disorders in an urban area of France: an ecological study

Previous analyses of neighbourhood variations of non-affective psychotic disorders (NAPD) have focused mainly on incidence. However, prevalence studies provide important insights on factors associated with disease evolution as well as for healthcare resource allocation. This study aimed to investigate the distribution of prevalent NAPD cases in an urban area in France. The number of cases in each neighbourhood was modelled as a function of potential confounders and ecological variables, namely: migrant density, economic deprivation and social fragmentation. This was modelled using statistical models of increasing complexity: frequentist models (using Poisson and negative binomial regressions), and several Bayesian models. For each model, assumptions validity were checked and compared as to how this fitted to the data, in order to test for possible spatial variation in prevalence. Data showed significant overdispersion (invalidating the Poisson regression model) and residual autocorrelation (suggesting the need to use Bayesian models). The best Bayesian model was Leroux's model (i.e. a model with both strong correlation between neighbouring areas and weaker correlation between areas further apart), with economic deprivation as an explanatory variable (OR = 1.13, 95% CI [1.02-1.25]). In comparison with frequentist methods, the Bayesian model showed a better fit. The number of cases showed non-random spatial distribution and was linked to economic deprivation.