2015
DOI: 10.1016/s0924-9338(15)30591-5
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Prevalence of At-risk Criteria of Psychosis in Children and Adolescents, and in Young Adults: Results From Two Swiss Community Samples

Abstract: The prevalence and significance of APS and other risk symptoms in the general population, when assessed in the same way as in help-seeking persons, is still rather unclear. In two complimentary studies, we studied the prevalence of ultra-high risk and basic symptom criteria and symptoms assessed with the ‘Structured Interview for Psychosis-Risk Syndromes’ (SIPS) and the ‘Schizophrenia Proneness Instrument, Adult / Child and Youth version’ (SPI-A/SPI-CY) by trained psychologists in random community samples of a… Show more

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Cited by 3 publications
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“…This is supported by first reports on conversion rates in adolescent risk samples between age 12 and 18 [122,135], indicating that lag time to conversion might be longer and, consequently, conversion rates in the first years following initial risk assessment might be lower. Furthermore, recent studies reported high prevalence rates of (attenuated) psychotic symptoms [111], in particular of hallucinations, in children and young adolescents, which seem to decrease with age [43,44] and to remit spontaneously in about three quarters [7]. Thus, it was recently argued that the validity of current risk criteria needs to be examined in and possibly adapted to children and adolescents [23,95,99,107].…”
Section: Introductionmentioning
confidence: 99%
“…This is supported by first reports on conversion rates in adolescent risk samples between age 12 and 18 [122,135], indicating that lag time to conversion might be longer and, consequently, conversion rates in the first years following initial risk assessment might be lower. Furthermore, recent studies reported high prevalence rates of (attenuated) psychotic symptoms [111], in particular of hallucinations, in children and young adolescents, which seem to decrease with age [43,44] and to remit spontaneously in about three quarters [7]. Thus, it was recently argued that the validity of current risk criteria needs to be examined in and possibly adapted to children and adolescents [23,95,99,107].…”
Section: Introductionmentioning
confidence: 99%
“…First, the CHR-P individuals were younger (mean age = 14.32 years) compared to the CHR-P populations enrolled in most studies (mean age = 20.6 years [65]). Some scholars have questioned the predictive value of CHR-P criteria in younger populations [66,67]. While this is not necessarily a study limitation, it highlights the need for further research into the unique developmental characteristics of younger CHR-P individuals.…”
Section: Discussionmentioning
confidence: 99%