Clinical and functional correlates of financially deprived women with first-episode psychosis

Comprehensive spatial distribution of patients with first-episode psychosis (FEP) and its relation to socio-economic factors

BACKGROUND

The functional-cognitive impact of first-episode psychosis (FEP) is extremely relevant and implies dysfunction from early life stages like adolescence and youth. Like other illnesses, FEP incidence is also influenced by environmental factors. It is necessary to attend to this age group with early interventions and to act on the environmental factors that the literature correlates with increased FEP incidence: socio-economic aspects, social adversity, bullying at school or cannabis use. In this context, identifying the areas of cities where FEP patients concentrate is important to perform early interventions. The spatial analysis of patient distribution in a whole city is one way to identify the most vulnerable areas and to propose psycho-social interventions for the possible prevention and/or early detection of FEP by improving urban mental health.

METHODS

An epidemiological study of point patterns to determine the areas of a city with a higher incidence of patients with FEP. To do so, the addresses of FEP cases were georeferenced from 1 January 2016 to 31 October 2022, and 109 FEP patients were analysed. Data from a random sample of 383 controls, comprising their addresses, age, and sex, were randomly obtained from the official city council database. By GIS, the areas with higher FEP incidence were analysed to see if they coincided with the zones where inhabitants with lower incomes lived.

RESULTS

The risk ratio of the FEP patients was compatible with the constant risk ratio in Albacete (p = 0.22). When performing the process separately with cases and controls only in men and women, the results were not significant for both distributions (p value: 0.12 and 0.57, respectively). Nonetheless, areas within the city had a significantly higher risk. These groups of cases coincided with those who had lower income and more inequality for women, but this pattern was not clear for men.

CONCLUSIONS

Classifying city areas per income can help to determine the zones at higher risk of FEP, which would allow early healthcare and preventive measures for these zones.

Measures of Social and Occupational Function in Early Psychosis: A Systematic Review and Meta-analysis

Deficits in social and occupational function are widely reported in psychosis, yet no one measure of function is currently agreed upon as a gold standard in psychosis research. The aim of this study was to carry out a systematic review and meta-analysis of functioning measures to determine what measures were associated with largest effect sizes when measuring between-group differences, changes over time, or response to treatment. Literature searches were conducted based on PsycINFO and PubMed to identify studies for inclusion. Cross-sectional and longitudinal observational and intervention studies of early psychosis (≤5 years since diagnosis) that included social and occupational functioning as an outcome measure were considered. A series of meta-analyses were conducted to determine effect size differences for between-group differences, changes over time, or response to treatment. Subgroup analyses and meta-regression were carried out to account for variability in study and participant characteristics. One hundred and sixteen studies were included, 46 studies provided data (N = 13 261) relevant to our meta-analysis. Smallest effect sizes for changes in function over time and in response to treatment were observed for global measures, while more specific measures of social and occupational function showed the largest effect sizes. Differences in effect sizes between functioning measures remained significant after variability in study and participant characteristics were accounted for. Findings suggest that more specific measures of social function are better able to detect changes in function over time and in response to treatment.

Schizophrenia pregnancies should be given greater health priority in the global health agenda: results from a large-scale meta-analysis of 43,611 deliveries of women with schizophrenia and 40,948,272 controls

Women with schizophrenia and their newborns are at risk of adverse pregnancy, delivery, neonatal and child outcomes. However, robust and informative epidemiological estimates are lacking to guide health policies to prioritise and organise perinatal services. For the first time, we carried out a systematic review and meta-analysis to synthesise the accumulating evidence on pregnancy, delivery, neonatal complications, and infant mortality among women with schizophrenia and their newborns (N = 43,611) vs. controls (N = 40,948,272) between 1999 and 2021 (26 population-based studies from 11 high-income countries) using random effects. Women with schizophrenia had higher odds (OR) of gestational diabetes (2.35, 95% CI: [1.57-3.52]), gestational hypertension, pre-eclampsia/eclampsia (OR 1.55, 95% CI: [1.02-2.36]; 1.85, 95% CI: [1.52-2.25]), antepartum and postpartum haemorrhage (OR 2.28, 95% CI: [1.58-3.29]; 1.14, 95% CI: [1.04-1.24]), placenta abruption, threatened preterm labour, and premature rupture of membrane (OR 2.20, 95% CI: [2.02-2.39]; 2.91, 95% CI: [1.57-5.40]; 1.29, 95% CI: [1.06-1.58]), c-section (OR 1.33, 95% CI: [1.22-1.45]), foetal distress (OR 1.80, 95% CI: [1.43-2.26]), preterm and very preterm delivery (OR 1.79, 95% CI: [1.62-1.98]; 2.31, 95% CI: [1.78-2.98]), small for gestational age and low birth weight (OR 1.63, 95% CI: [1.48-1.80]; 1.75, 95% CI: [1.46-2.11]), congenital malformations (OR 1.86, 95% CI: [1.71-2.03]), and stillbirths (OR 2.06, 95% CI: [1.83-2.31]). Their newborns had higher odds of neonatal death (OR 1.41, 95% CI: [1.03-1.94]), post-neonatal death (OR 2.87, 95% CI: [2.11-3.89]) and infant mortality (OR 2.33, 95% CI: [1.81-3.01]). This large-scale meta-analysis confirms that schizophrenia is associated with a substantially increased risk of very preterm delivery, stillbirth, and infant mortality, and metabolic risk in mothers. No population-based study has been carried out in low- and middle-income countries in which health problems of women with schizophrenia are probably more pronounced. More research is needed to better understand the complex needs of women with schizophrenia and their newborns, determine how care delivery could be optimised, and define best practices. Study registration: PROSPERO CRD42020197446.

How does neighbourhood socio-economic status affect the interrelationships between functioning dimensions in first episode of psychosis? A network analysis approach

The links between psychosis and socio-economic disadvantage have been widely studied. No previous study has analysed the interrelationships and mutual influences between functioning dimensions in first episode of psychosis (FEP) according to their neighbourhood household income, using a multidimensional and transdiagnostic perspective. 170 patients and 129 controls, participants in an observational study (AGES-CM), comprised the study sample. The WHO Disability Assessment Schedule (WHODAS 2.0) was used to assess functioning, whereas participants' postcodes were used to obtain the average household income for each neighbourhood, collected by the Spanish National Statistics Institute (INE). Network analyses were conducted with the aim of defining the interrelationships between the different dimensions of functioning according to the neighbourhood household income. Our results show that lower neighbourhood socioeconomic level is associated with lower functioning in patients with FEP. Moreover, our findings suggest that "household responsibilities" plays a central role in the disability of patients who live in low-income neighbourhoods, whereas "dealing with strangers" is the most important node in the network of patients who live in high-income neighbourhoods. These results could help to personalize treatments, by allowing the identification of potential functioning areas to be prioritized in the treatment of FEP according to the patient's neighbourhood characteristics.