RESUMEN
INTRODUCTION: Predictive models of psychotic symptoms could improve ecological momentary interventions by dynamically providing help when it is needed. Wearable sensors measuring autonomic arousal constitute a feasible base for predictive models since they passively collect physiological data linked to the onset of psychotic experiences. To explore this potential, we investigated whether changes in autonomic arousal predict the onset of hallucination spectrum experiences (HSE) and paranoia in individuals with an increased likelihood of experiencing psychotic symptoms. METHOD: For 24 h of ambulatory assessment, 62 participants wore electrodermal activity and heart rate sensors and were provided with an Android smartphone to answer questions about their HSE-, and paranoia-levels every 20 min. We calculated random forests to detect the onset of HSEs and paranoia. The generalizability of our models was tested using leave-one-assessment-out and leave-one-person-out cross-validation. RESULTS: Leave-one-assessment-out models that relied on physiological data and participant ID yielded balanced accuracy scores of 80 % for HSE and 66 % for paranoia. Adding baseline information about lifetime experiences of psychotic symptoms increased balanced accuracy to 82 % (HSE) and 70 % (paranoia). Leave-one-person-out models yielded lower balanced accuracy scores (51 % to 58 %). DISCUSSION: Using passively collectible variables to predict the onset of psychotic experiences is possible and prediction models improve with additional information about lifetime experiences of psychotic symptoms. Generalizing to new individuals showed poor performance, so including personal data from a recipient may be necessary for symptom prediction. Completely individualized prediction models built solely with the data of the person to be predicted might increase accuracy further.
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Evaluación Ecológica Momentánea , Respuesta Galvánica de la Piel , Alucinaciones , Trastornos Paranoides , Prueba de Estudio Conceptual , Trastornos Psicóticos , Dispositivos Electrónicos Vestibles , Humanos , Masculino , Femenino , Adulto , Trastornos Psicóticos/fisiopatología , Trastornos Psicóticos/diagnóstico , Alucinaciones/fisiopatología , Alucinaciones/diagnóstico , Alucinaciones/etiología , Respuesta Galvánica de la Piel/fisiología , Adulto Joven , Trastornos Paranoides/fisiopatología , Trastornos Paranoides/diagnóstico , Frecuencia Cardíaca/fisiología , Teléfono Inteligente , Monitoreo Ambulatorio/instrumentación , Persona de Mediana EdadRESUMEN
Decreased sleep spindle activity in individuals with psychotic disorders is well studied, but its contribution to psychotic symptom formation is not well understood. This study explored potential underlying mechanisms explaining the association between decreased sleep spindle activity and psychotic symptoms. To this end, we analysed the links between sleep spindle activity and psychotic experiences and probed for the mediating roles of attentional performance and perceptual distortions in a community sample of young adults (N = 70; 26.33 ± 4.84 years). Polysomnography was recorded during a 90-min daytime nap and duration, amplitude, and density from slow (10-13 Hz) and fast (13-16 Hz) spindles were extracted. Attentional performance was assessed via a test battery and with an antisaccadic eye movement task. Psychotic experiences (i.e., paranoid thoughts; hallucinatory experiences) and perceptual distortions (i.e., anomalous perceptions; sensory gating deficits) were assessed via self-report questionnaires. We conducted sequential mediation analyses with spindle activity as predictor, psychotic experiences as dependent variable, and attentional performance and perceptual distortions as mediators. We found reduced right central spindle amplitude to be associated with paranoid thoughts. Increased antisaccadic error rate was associated with anomalous perceptions and perceptual distortions were associated with psychotic experiences. We did not find significant mediation effects. The findings support the notion that reduced sleep spindle activity is involved in the formation of paranoid thoughts and that decreased antisaccadic performance is indicative of perceptual distortions as potential precursors for psychotic experiences. However, further research is needed to corroborate the proposed mediation hypothesis.
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Distorsión de la Percepción , Trastornos Psicóticos , Adulto Joven , Humanos , Sueño , Polisomnografía , Atención , ElectroencefalografíaRESUMEN
BACKGROUND: Prior research has shown that negative emotion constitutes a trigger for psychosis. This effect is further amplified by using maladaptive emotion regulation strategies. In contrast, the role of adaptive emotion regulation strategies is less clear despite its potential for informing interventions and prevention efforts. In this study, we investigated whether the decreased use of adaptive emotion regulation strategies in daily life is associated with an elevated risk of psychosis. METHODS: Participants reporting a lifetime prevalence of attenuated psychotic symptoms (AS; n = 43) and comparison participants without attenuated psychotic symptoms (n = 40) completed a 14-day diary study with one daily assessment of adaptive emotion regulation (ER) strategies ranging from tolerance-based ER-strategies (e.g., understanding, constructively directing attention) to change-focused ER-strategies (e.g., modification, effective self-support). We tested for group differences in adaptive ER-strategies use with multilevel models. RESULTS: AS used multiple tolerance-based adaptive ER-strategies (acceptance, understanding, clarity, directing attention) less frequently in daily life. However, only a single change-focused adaptive ER-strategy (modification) showed consistently lower utilization rates in AS. CONCLUSION: People with an elevated risk of psychosis use various adaptive ER-strategies focusing on comprehending and accepting negative emotions less frequently. Fostering these strategies with targeted interventions could promote resilience against transitioning into psychosis.
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Adaptación Psicológica , Regulación Emocional , Trastornos Psicóticos , Humanos , Emociones/fisiología , Trastornos Psicóticos/epidemiología , Trastornos Psicóticos/psicología , Resiliencia PsicológicaRESUMEN
Understanding factors driving vaccine hesitancy is crucial to vaccination success. We surveyed adults (N = 2510) from February to March 2021 across five sites (Australia = 502, Germany = 516, Hong Kong = 445, UK = 512, USA = 535) using a cross-sectional design and stratified quota sampling for age, sex, and education. We assessed willingness to take a vaccine and a comprehensive set of putative predictors. Predictive power was analysed with a machine learning algorithm. Only 57.4% of the participants indicated that they would definitely or probably get vaccinated. A parsimonious machine learning model could identify vaccine hesitancy with high accuracy (i.e. 82% sensitivity and 79-82% specificity) using 12 variables only. The most relevant predictors were vaccination conspiracy beliefs, various paranoid concerns related to the pandemic, a general conspiracy mentality, COVID anxiety, high perceived risk of infection, low perceived social rank, lower age, lower income, and higher population density. Campaigns seeking to increase vaccine uptake need to take mistrust as the main driver of vaccine hesitancy into account.