Current psychotic-like experiences among adolescents in China: Identifying risk and protective factors
This study aim to explore the prevalence of current PLEs over past month and relevant influential factors among adolescents. A total of 67,538 students completed one online survey between April 21st and May 12th, 2021. Current PLEs were assessed using the 8-item Positive Subscale of the Community As...
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Published in: | Schizophrenia research Vol. 244; pp. 111 - 117 |
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01-06-2022
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Abstract | This study aim to explore the prevalence of current PLEs over past month and relevant influential factors among adolescents.
A total of 67,538 students completed one online survey between April 21st and May 12th, 2021. Current PLEs were assessed using the 8-item Positive Subscale of the Community Assessment of Psychic Experiences (CAPE-P8). Participants were defined as having frequent PLEs if they selected “often” or “nearly always” on one or more items of CAPE-P8. Family function, school climate and a series of socio-demographic were also evaluated.
In this sample, 49.3% adolescents reported having at least one PLE over the past month, while 15.4% experienced high frequent PLEs. Alcohol intake was positively associated with high frequent PLEs (OR = 2.61, 95% CI = 2.37–2.88). Adolescents with chronic physical illness (OR = 1.94, 95% CI = 1.73–2.18) or family history of psychiatric illness (OR = 2.61, 95% CI = 2.22–2.77) were more likely to suffer from high frequent PLEs. Dysfunction family function (OR moderate = 1.98, 95% CI = 1.98–2.09; OR severe = 6.98, 95% CI = 6.48–7.53) or poor school climate (OR = 3.14, 95% CI = 2.93–3.37) was associated with elevated high frequent PLEs.
Several factors of socio-demographics, unhealthy lifestyle, family and school environments are found to be related to frequent PLEs. These factors should also be taken into consideration for effective psychosocial intervention in adolescents. |
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AbstractList | This study aim to explore the prevalence of current PLEs over past month and relevant influential factors among adolescents.
A total of 67,538 students completed one online survey between April 21st and May 12th, 2021. Current PLEs were assessed using the 8-item Positive Subscale of the Community Assessment of Psychic Experiences (CAPE-P8). Participants were defined as having frequent PLEs if they selected "often" or "nearly always" on one or more items of CAPE-P8. Family function, school climate and a series of socio-demographic were also evaluated.
In this sample, 49.3% adolescents reported having at least one PLE over the past month, while 15.4% experienced high frequent PLEs. Alcohol intake was positively associated with high frequent PLEs (OR = 2.61, 95% CI = 2.37-2.88). Adolescents with chronic physical illness (OR = 1.94, 95% CI = 1.73-2.18) or family history of psychiatric illness (OR = 2.61, 95% CI = 2.22-2.77) were more likely to suffer from high frequent PLEs. Dysfunction family function (OR
= 1.98, 95% CI = 1.98-2.09; OR
= 6.98, 95% CI = 6.48-7.53) or poor school climate (OR = 3.14, 95% CI = 2.93-3.37) was associated with elevated high frequent PLEs.
Several factors of socio-demographics, unhealthy lifestyle, family and school environments are found to be related to frequent PLEs. These factors should also be taken into consideration for effective psychosocial intervention in adolescents. This study aim to explore the prevalence of current PLEs over past month and relevant influential factors among adolescents. A total of 67,538 students completed one online survey between April 21st and May 12th, 2021. Current PLEs were assessed using the 8-item Positive Subscale of the Community Assessment of Psychic Experiences (CAPE-P8). Participants were defined as having frequent PLEs if they selected “often” or “nearly always” on one or more items of CAPE-P8. Family function, school climate and a series of socio-demographic were also evaluated. In this sample, 49.3% adolescents reported having at least one PLE over the past month, while 15.4% experienced high frequent PLEs. Alcohol intake was positively associated with high frequent PLEs (OR = 2.61, 95% CI = 2.37–2.88). Adolescents with chronic physical illness (OR = 1.94, 95% CI = 1.73–2.18) or family history of psychiatric illness (OR = 2.61, 95% CI = 2.22–2.77) were more likely to suffer from high frequent PLEs. Dysfunction family function (OR moderate = 1.98, 95% CI = 1.98–2.09; OR severe = 6.98, 95% CI = 6.48–7.53) or poor school climate (OR = 3.14, 95% CI = 2.93–3.37) was associated with elevated high frequent PLEs. Several factors of socio-demographics, unhealthy lifestyle, family and school environments are found to be related to frequent PLEs. These factors should also be taken into consideration for effective psychosocial intervention in adolescents. OBJECTIVEThis study aim to explore the prevalence of current PLEs over past month and relevant influential factors among adolescents. METHODSA total of 67,538 students completed one online survey between April 21st and May 12th, 2021. Current PLEs were assessed using the 8-item Positive Subscale of the Community Assessment of Psychic Experiences (CAPE-P8). Participants were defined as having frequent PLEs if they selected "often" or "nearly always" on one or more items of CAPE-P8. Family function, school climate and a series of socio-demographic were also evaluated. RESULTSIn this sample, 49.3% adolescents reported having at least one PLE over the past month, while 15.4% experienced high frequent PLEs. Alcohol intake was positively associated with high frequent PLEs (OR = 2.61, 95% CI = 2.37-2.88). Adolescents with chronic physical illness (OR = 1.94, 95% CI = 1.73-2.18) or family history of psychiatric illness (OR = 2.61, 95% CI = 2.22-2.77) were more likely to suffer from high frequent PLEs. Dysfunction family function (OR moderate = 1.98, 95% CI = 1.98-2.09; OR severe = 6.98, 95% CI = 6.48-7.53) or poor school climate (OR = 3.14, 95% CI = 2.93-3.37) was associated with elevated high frequent PLEs. CONCLUSIONSSeveral factors of socio-demographics, unhealthy lifestyle, family and school environments are found to be related to frequent PLEs. These factors should also be taken into consideration for effective psychosocial intervention in adolescents. |
Author | Wang, Dongfang Chen, Zihao Sun, Meng Fan, Fang Chen, Huilin Wu, Lili Chen, Yao Liu, Wenxu |
Author_xml | – sequence: 1 givenname: Dongfang surname: Wang fullname: Wang, Dongfang organization: School of Psychology, Centre for Studies of Psychological Applications, Guangdong Key Laboratory of Mental Health and Cognitive Science, Ministry of Education Key Laboratory of Brain Cognition and Educational Science, South China Normal University, Guangzhou, China – sequence: 2 givenname: Huilin surname: Chen fullname: Chen, Huilin organization: Department of Psychology, University of Bath, UK – sequence: 3 givenname: Zihao surname: Chen fullname: Chen, Zihao organization: School of Psychology, Centre for Studies of Psychological Applications, Guangdong Key Laboratory of Mental Health and Cognitive Science, Ministry of Education Key Laboratory of Brain Cognition and Educational Science, South China Normal University, Guangzhou, China – sequence: 4 givenname: Wenxu surname: Liu fullname: Liu, Wenxu organization: School of Psychology, Centre for Studies of Psychological Applications, Guangdong Key Laboratory of Mental Health and Cognitive Science, Ministry of Education Key Laboratory of Brain Cognition and Educational Science, South China Normal University, Guangzhou, China – sequence: 5 givenname: Lili surname: Wu fullname: Wu, Lili organization: School of Psychology, Centre for Studies of Psychological Applications, Guangdong Key Laboratory of Mental Health and Cognitive Science, Ministry of Education Key Laboratory of Brain Cognition and Educational Science, South China Normal University, Guangzhou, China – sequence: 6 givenname: Yao surname: Chen fullname: Chen, Yao organization: School of Psychology, Centre for Studies of Psychological Applications, Guangdong Key Laboratory of Mental Health and Cognitive Science, Ministry of Education Key Laboratory of Brain Cognition and Educational Science, South China Normal University, Guangzhou, China – sequence: 7 givenname: Meng surname: Sun fullname: Sun, Meng organization: Department of Social Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China – sequence: 8 givenname: Fang surname: Fan fullname: Fan, Fang email: fangfan@scnu.edu.cn organization: School of Psychology, Centre for Studies of Psychological Applications, Guangdong Key Laboratory of Mental Health and Cognitive Science, Ministry of Education Key Laboratory of Brain Cognition and Educational Science, South China Normal University, Guangzhou, China |
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Keywords | Psychotic-like experiences Protective factors Adolescents Risk factors |
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A total of 67,538 students... OBJECTIVEThis study aim to explore the prevalence of current PLEs over past month and relevant influential factors among adolescents. METHODSA total of 67,538... |
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SubjectTerms | Adolescents Protective factors Psychotic-like experiences Risk factors |
Title | Current psychotic-like experiences among adolescents in China: Identifying risk and protective factors |
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