Physical Health and Transition to Psychosis in People at Clinical High Risk

Background: The clinical high risk for psychosis (CHR-P) construct represents an opportunity for prevention and early intervention in young adults, but the relationship between risk for psychosis and physical health in these patients remains unclear. Methods: We conducted a RECORD-compliant clinical...
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Autor*in:	Andrea De Micheli [verfasserIn] Umberto Provenzani [verfasserIn] Kamil Krakowski [verfasserIn] Dominic Oliver [verfasserIn] Stefano Damiani [verfasserIn] Natascia Brondino [verfasserIn] Philip McGuire [verfasserIn] Paolo Fusar-Poli [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2024

Schlagwörter:	physical health psychosis risk CHR-P

Übergeordnetes Werk:	In: Biomedicines - MDPI AG, 2014, 12(2024), 3, p 523
Übergeordnetes Werk:	volume:12 ; year:2024 ; number:3, p 523

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/biomedicines12030523

Katalog-ID:	DOAJ100548350

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allfields	10.3390/biomedicines12030523 doi (DE-627)DOAJ100548350 (DE-599)DOAJ42d55cfc77aa43ea9c312d1aae5dfa86 DE-627 ger DE-627 rakwb eng QH301-705.5 Andrea De Micheli verfasserin aut Physical Health and Transition to Psychosis in People at Clinical High Risk 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: The clinical high risk for psychosis (CHR-P) construct represents an opportunity for prevention and early intervention in young adults, but the relationship between risk for psychosis and physical health in these patients remains unclear. Methods: We conducted a RECORD-compliant clinical register-based cohort study, selecting the long-term cumulative risk of developing a persistent psychotic disorder as the primary outcome. We investigated associations between primary outcome and physical health data with Electronic Health Records at the South London and Maudsley (SLaM) NHS Trust, UK (January 2013–October 2020). We performed survival analyses using Kaplan-Meier curves, log-rank tests, and Cox proportional hazard models. Results: The database included 137 CHR-P subjects; 21 CHR-P developed psychosis during follow-up, and the cumulative incidence of psychosis risk was 4.9% at 1 year and 56.3% at 7 years. Log-rank tests suggested that psychosis risk might change between different levels of nicotine and alcohol dependence. Kaplan-Meier curve analyses indicated that non-hazardous drinkers may have a lower psychosis risk than non-drinkers. In the Cox proportional hazard model, nicotine dependence presented a hazard ratio of 1.34 (95% CI: 1.1–1.64) (<i<p</i< = 0.01), indicating a 34% increase in psychosis risk for every additional point on the Fagerström Test for Nicotine Dependence. Conclusions: Our findings suggest that a comprehensive assessment of tobacco and alcohol use, diet, and physical activity in CHR-P subjects is key to understanding how physical health contributes to psychosis risk. physical health psychosis risk CHR-P Biology (General) Umberto Provenzani verfasserin aut Kamil Krakowski verfasserin aut Dominic Oliver verfasserin aut Stefano Damiani verfasserin aut Natascia Brondino verfasserin aut Philip McGuire verfasserin aut Paolo Fusar-Poli verfasserin aut In Biomedicines MDPI AG, 2014 12(2024), 3, p 523 (DE-627)750370483 (DE-600)2720867-9 22279059 nnns volume:12 year:2024 number:3, p 523 https://doi.org/10.3390/biomedicines12030523 kostenfrei https://doaj.org/article/42d55cfc77aa43ea9c312d1aae5dfa86 kostenfrei https://www.mdpi.com/2227-9059/12/3/523 kostenfrei https://doaj.org/toc/2227-9059 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2024 3, p 523
spelling	10.3390/biomedicines12030523 doi (DE-627)DOAJ100548350 (DE-599)DOAJ42d55cfc77aa43ea9c312d1aae5dfa86 DE-627 ger DE-627 rakwb eng QH301-705.5 Andrea De Micheli verfasserin aut Physical Health and Transition to Psychosis in People at Clinical High Risk 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: The clinical high risk for psychosis (CHR-P) construct represents an opportunity for prevention and early intervention in young adults, but the relationship between risk for psychosis and physical health in these patients remains unclear. Methods: We conducted a RECORD-compliant clinical register-based cohort study, selecting the long-term cumulative risk of developing a persistent psychotic disorder as the primary outcome. We investigated associations between primary outcome and physical health data with Electronic Health Records at the South London and Maudsley (SLaM) NHS Trust, UK (January 2013–October 2020). We performed survival analyses using Kaplan-Meier curves, log-rank tests, and Cox proportional hazard models. Results: The database included 137 CHR-P subjects; 21 CHR-P developed psychosis during follow-up, and the cumulative incidence of psychosis risk was 4.9% at 1 year and 56.3% at 7 years. Log-rank tests suggested that psychosis risk might change between different levels of nicotine and alcohol dependence. Kaplan-Meier curve analyses indicated that non-hazardous drinkers may have a lower psychosis risk than non-drinkers. In the Cox proportional hazard model, nicotine dependence presented a hazard ratio of 1.34 (95% CI: 1.1–1.64) (<i<p</i< = 0.01), indicating a 34% increase in psychosis risk for every additional point on the Fagerström Test for Nicotine Dependence. Conclusions: Our findings suggest that a comprehensive assessment of tobacco and alcohol use, diet, and physical activity in CHR-P subjects is key to understanding how physical health contributes to psychosis risk. physical health psychosis risk CHR-P Biology (General) Umberto Provenzani verfasserin aut Kamil Krakowski verfasserin aut Dominic Oliver verfasserin aut Stefano Damiani verfasserin aut Natascia Brondino verfasserin aut Philip McGuire verfasserin aut Paolo Fusar-Poli verfasserin aut In Biomedicines MDPI AG, 2014 12(2024), 3, p 523 (DE-627)750370483 (DE-600)2720867-9 22279059 nnns volume:12 year:2024 number:3, p 523 https://doi.org/10.3390/biomedicines12030523 kostenfrei https://doaj.org/article/42d55cfc77aa43ea9c312d1aae5dfa86 kostenfrei https://www.mdpi.com/2227-9059/12/3/523 kostenfrei https://doaj.org/toc/2227-9059 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2024 3, p 523
allfields_unstemmed	10.3390/biomedicines12030523 doi (DE-627)DOAJ100548350 (DE-599)DOAJ42d55cfc77aa43ea9c312d1aae5dfa86 DE-627 ger DE-627 rakwb eng QH301-705.5 Andrea De Micheli verfasserin aut Physical Health and Transition to Psychosis in People at Clinical High Risk 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: The clinical high risk for psychosis (CHR-P) construct represents an opportunity for prevention and early intervention in young adults, but the relationship between risk for psychosis and physical health in these patients remains unclear. Methods: We conducted a RECORD-compliant clinical register-based cohort study, selecting the long-term cumulative risk of developing a persistent psychotic disorder as the primary outcome. We investigated associations between primary outcome and physical health data with Electronic Health Records at the South London and Maudsley (SLaM) NHS Trust, UK (January 2013–October 2020). We performed survival analyses using Kaplan-Meier curves, log-rank tests, and Cox proportional hazard models. Results: The database included 137 CHR-P subjects; 21 CHR-P developed psychosis during follow-up, and the cumulative incidence of psychosis risk was 4.9% at 1 year and 56.3% at 7 years. Log-rank tests suggested that psychosis risk might change between different levels of nicotine and alcohol dependence. Kaplan-Meier curve analyses indicated that non-hazardous drinkers may have a lower psychosis risk than non-drinkers. In the Cox proportional hazard model, nicotine dependence presented a hazard ratio of 1.34 (95% CI: 1.1–1.64) (<i<p</i< = 0.01), indicating a 34% increase in psychosis risk for every additional point on the Fagerström Test for Nicotine Dependence. Conclusions: Our findings suggest that a comprehensive assessment of tobacco and alcohol use, diet, and physical activity in CHR-P subjects is key to understanding how physical health contributes to psychosis risk. physical health psychosis risk CHR-P Biology (General) Umberto Provenzani verfasserin aut Kamil Krakowski verfasserin aut Dominic Oliver verfasserin aut Stefano Damiani verfasserin aut Natascia Brondino verfasserin aut Philip McGuire verfasserin aut Paolo Fusar-Poli verfasserin aut In Biomedicines MDPI AG, 2014 12(2024), 3, p 523 (DE-627)750370483 (DE-600)2720867-9 22279059 nnns volume:12 year:2024 number:3, p 523 https://doi.org/10.3390/biomedicines12030523 kostenfrei https://doaj.org/article/42d55cfc77aa43ea9c312d1aae5dfa86 kostenfrei https://www.mdpi.com/2227-9059/12/3/523 kostenfrei https://doaj.org/toc/2227-9059 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2024 3, p 523
allfieldsGer	10.3390/biomedicines12030523 doi (DE-627)DOAJ100548350 (DE-599)DOAJ42d55cfc77aa43ea9c312d1aae5dfa86 DE-627 ger DE-627 rakwb eng QH301-705.5 Andrea De Micheli verfasserin aut Physical Health and Transition to Psychosis in People at Clinical High Risk 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: The clinical high risk for psychosis (CHR-P) construct represents an opportunity for prevention and early intervention in young adults, but the relationship between risk for psychosis and physical health in these patients remains unclear. Methods: We conducted a RECORD-compliant clinical register-based cohort study, selecting the long-term cumulative risk of developing a persistent psychotic disorder as the primary outcome. We investigated associations between primary outcome and physical health data with Electronic Health Records at the South London and Maudsley (SLaM) NHS Trust, UK (January 2013–October 2020). We performed survival analyses using Kaplan-Meier curves, log-rank tests, and Cox proportional hazard models. Results: The database included 137 CHR-P subjects; 21 CHR-P developed psychosis during follow-up, and the cumulative incidence of psychosis risk was 4.9% at 1 year and 56.3% at 7 years. Log-rank tests suggested that psychosis risk might change between different levels of nicotine and alcohol dependence. Kaplan-Meier curve analyses indicated that non-hazardous drinkers may have a lower psychosis risk than non-drinkers. In the Cox proportional hazard model, nicotine dependence presented a hazard ratio of 1.34 (95% CI: 1.1–1.64) (<i<p</i< = 0.01), indicating a 34% increase in psychosis risk for every additional point on the Fagerström Test for Nicotine Dependence. Conclusions: Our findings suggest that a comprehensive assessment of tobacco and alcohol use, diet, and physical activity in CHR-P subjects is key to understanding how physical health contributes to psychosis risk. physical health psychosis risk CHR-P Biology (General) Umberto Provenzani verfasserin aut Kamil Krakowski verfasserin aut Dominic Oliver verfasserin aut Stefano Damiani verfasserin aut Natascia Brondino verfasserin aut Philip McGuire verfasserin aut Paolo Fusar-Poli verfasserin aut In Biomedicines MDPI AG, 2014 12(2024), 3, p 523 (DE-627)750370483 (DE-600)2720867-9 22279059 nnns volume:12 year:2024 number:3, p 523 https://doi.org/10.3390/biomedicines12030523 kostenfrei https://doaj.org/article/42d55cfc77aa43ea9c312d1aae5dfa86 kostenfrei https://www.mdpi.com/2227-9059/12/3/523 kostenfrei https://doaj.org/toc/2227-9059 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2024 3, p 523
allfieldsSound	10.3390/biomedicines12030523 doi (DE-627)DOAJ100548350 (DE-599)DOAJ42d55cfc77aa43ea9c312d1aae5dfa86 DE-627 ger DE-627 rakwb eng QH301-705.5 Andrea De Micheli verfasserin aut Physical Health and Transition to Psychosis in People at Clinical High Risk 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: The clinical high risk for psychosis (CHR-P) construct represents an opportunity for prevention and early intervention in young adults, but the relationship between risk for psychosis and physical health in these patients remains unclear. Methods: We conducted a RECORD-compliant clinical register-based cohort study, selecting the long-term cumulative risk of developing a persistent psychotic disorder as the primary outcome. We investigated associations between primary outcome and physical health data with Electronic Health Records at the South London and Maudsley (SLaM) NHS Trust, UK (January 2013–October 2020). We performed survival analyses using Kaplan-Meier curves, log-rank tests, and Cox proportional hazard models. Results: The database included 137 CHR-P subjects; 21 CHR-P developed psychosis during follow-up, and the cumulative incidence of psychosis risk was 4.9% at 1 year and 56.3% at 7 years. Log-rank tests suggested that psychosis risk might change between different levels of nicotine and alcohol dependence. Kaplan-Meier curve analyses indicated that non-hazardous drinkers may have a lower psychosis risk than non-drinkers. In the Cox proportional hazard model, nicotine dependence presented a hazard ratio of 1.34 (95% CI: 1.1–1.64) (<i<p</i< = 0.01), indicating a 34% increase in psychosis risk for every additional point on the Fagerström Test for Nicotine Dependence. Conclusions: Our findings suggest that a comprehensive assessment of tobacco and alcohol use, diet, and physical activity in CHR-P subjects is key to understanding how physical health contributes to psychosis risk. physical health psychosis risk CHR-P Biology (General) Umberto Provenzani verfasserin aut Kamil Krakowski verfasserin aut Dominic Oliver verfasserin aut Stefano Damiani verfasserin aut Natascia Brondino verfasserin aut Philip McGuire verfasserin aut Paolo Fusar-Poli verfasserin aut In Biomedicines MDPI AG, 2014 12(2024), 3, p 523 (DE-627)750370483 (DE-600)2720867-9 22279059 nnns volume:12 year:2024 number:3, p 523 https://doi.org/10.3390/biomedicines12030523 kostenfrei https://doaj.org/article/42d55cfc77aa43ea9c312d1aae5dfa86 kostenfrei https://www.mdpi.com/2227-9059/12/3/523 kostenfrei https://doaj.org/toc/2227-9059 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2024 3, p 523
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callnumber-first	Q - Science
author	Andrea De Micheli
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topic_title	QH301-705.5 Physical Health and Transition to Psychosis in People at Clinical High Risk physical health psychosis risk CHR-P
topic	misc QH301-705.5 misc physical health misc psychosis misc risk misc CHR-P misc Biology (General)
topic_unstemmed	misc QH301-705.5 misc physical health misc psychosis misc risk misc CHR-P misc Biology (General)
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title	Physical Health and Transition to Psychosis in People at Clinical High Risk
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title_full	Physical Health and Transition to Psychosis in People at Clinical High Risk
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author_browse	Andrea De Micheli Umberto Provenzani Kamil Krakowski Dominic Oliver Stefano Damiani Natascia Brondino Philip McGuire Paolo Fusar-Poli
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title_sort	physical health and transition to psychosis in people at clinical high risk
callnumber	QH301-705.5
title_auth	Physical Health and Transition to Psychosis in People at Clinical High Risk
abstract	Background: The clinical high risk for psychosis (CHR-P) construct represents an opportunity for prevention and early intervention in young adults, but the relationship between risk for psychosis and physical health in these patients remains unclear. Methods: We conducted a RECORD-compliant clinical register-based cohort study, selecting the long-term cumulative risk of developing a persistent psychotic disorder as the primary outcome. We investigated associations between primary outcome and physical health data with Electronic Health Records at the South London and Maudsley (SLaM) NHS Trust, UK (January 2013–October 2020). We performed survival analyses using Kaplan-Meier curves, log-rank tests, and Cox proportional hazard models. Results: The database included 137 CHR-P subjects; 21 CHR-P developed psychosis during follow-up, and the cumulative incidence of psychosis risk was 4.9% at 1 year and 56.3% at 7 years. Log-rank tests suggested that psychosis risk might change between different levels of nicotine and alcohol dependence. Kaplan-Meier curve analyses indicated that non-hazardous drinkers may have a lower psychosis risk than non-drinkers. In the Cox proportional hazard model, nicotine dependence presented a hazard ratio of 1.34 (95% CI: 1.1–1.64) (<i<p</i< = 0.01), indicating a 34% increase in psychosis risk for every additional point on the Fagerström Test for Nicotine Dependence. Conclusions: Our findings suggest that a comprehensive assessment of tobacco and alcohol use, diet, and physical activity in CHR-P subjects is key to understanding how physical health contributes to psychosis risk.
abstractGer	Background: The clinical high risk for psychosis (CHR-P) construct represents an opportunity for prevention and early intervention in young adults, but the relationship between risk for psychosis and physical health in these patients remains unclear. Methods: We conducted a RECORD-compliant clinical register-based cohort study, selecting the long-term cumulative risk of developing a persistent psychotic disorder as the primary outcome. We investigated associations between primary outcome and physical health data with Electronic Health Records at the South London and Maudsley (SLaM) NHS Trust, UK (January 2013–October 2020). We performed survival analyses using Kaplan-Meier curves, log-rank tests, and Cox proportional hazard models. Results: The database included 137 CHR-P subjects; 21 CHR-P developed psychosis during follow-up, and the cumulative incidence of psychosis risk was 4.9% at 1 year and 56.3% at 7 years. Log-rank tests suggested that psychosis risk might change between different levels of nicotine and alcohol dependence. Kaplan-Meier curve analyses indicated that non-hazardous drinkers may have a lower psychosis risk than non-drinkers. In the Cox proportional hazard model, nicotine dependence presented a hazard ratio of 1.34 (95% CI: 1.1–1.64) (<i<p</i< = 0.01), indicating a 34% increase in psychosis risk for every additional point on the Fagerström Test for Nicotine Dependence. Conclusions: Our findings suggest that a comprehensive assessment of tobacco and alcohol use, diet, and physical activity in CHR-P subjects is key to understanding how physical health contributes to psychosis risk.
abstract_unstemmed	Background: The clinical high risk for psychosis (CHR-P) construct represents an opportunity for prevention and early intervention in young adults, but the relationship between risk for psychosis and physical health in these patients remains unclear. Methods: We conducted a RECORD-compliant clinical register-based cohort study, selecting the long-term cumulative risk of developing a persistent psychotic disorder as the primary outcome. We investigated associations between primary outcome and physical health data with Electronic Health Records at the South London and Maudsley (SLaM) NHS Trust, UK (January 2013–October 2020). We performed survival analyses using Kaplan-Meier curves, log-rank tests, and Cox proportional hazard models. Results: The database included 137 CHR-P subjects; 21 CHR-P developed psychosis during follow-up, and the cumulative incidence of psychosis risk was 4.9% at 1 year and 56.3% at 7 years. Log-rank tests suggested that psychosis risk might change between different levels of nicotine and alcohol dependence. Kaplan-Meier curve analyses indicated that non-hazardous drinkers may have a lower psychosis risk than non-drinkers. In the Cox proportional hazard model, nicotine dependence presented a hazard ratio of 1.34 (95% CI: 1.1–1.64) (<i<p</i< = 0.01), indicating a 34% increase in psychosis risk for every additional point on the Fagerström Test for Nicotine Dependence. Conclusions: Our findings suggest that a comprehensive assessment of tobacco and alcohol use, diet, and physical activity in CHR-P subjects is key to understanding how physical health contributes to psychosis risk.
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title_short	Physical Health and Transition to Psychosis in People at Clinical High Risk
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up_date	2024-07-03T15:21:05.026Z
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Physical Health and Transition to Psychosis in People at Clinical High Risk

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