Longitudinal Trends in Childhood Insulin Levels and Body Mass Index and Associations With Risks of Psychosis and Depression in Young Adults

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11510%2F21%3A10418481" target="_blank" >RIV/00216208:11510/21:10418481 - isvavai.cz</a>

Výsledek na webu

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=2D0Y1_-1v4" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=2D0Y1_-1v4</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1001/jamapsychiatry.2020.4180" target="_blank" >10.1001/jamapsychiatry.2020.4180</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Longitudinal Trends in Childhood Insulin Levels and Body Mass Index and Associations With Risks of Psychosis and Depression in Young Adults

Popis výsledku v původním jazyce

Importance: Cardiometabolic disorders often co-occur with psychosis and depression, contribute to higher mortality rates, and are detectable from the onset of the psychiatric disorders. However, it is unclear how longitudinal trends in cardiometabolic traits from childhood relate to risks of adult psychosis and depression. Objective: To examine whether specific developmental trajectories of fasting insulin (FI) and body mass index (BMI) from early-childhood were longitudinally associated with adult psychosis and depression. Design: Cohort study from Avon Longitudinal Study of Parents and Children (ALSPAC) using data from 1-24y. Setting: Prospective population-representative British birth cohort. Participants: BMI and FI data obtained from 10,463 and 5,790 participants, respectively, used for growth mixture modelling to delineate developmental trajectories. Associations with psychosis and depression were assessed on 3,804 and 3,795 participants, respectively. Exposures: FI was measured at 9, 15, 18 and 24y. BMI was measured at 1, 2, 3, 4, 7, 9, 10, 11, 12, 15, 18 and 24y. We included sex, ethnicity, paternal social class, childhood emotional and behavioural problems, and cumulative scores of sleep problems, average calorie intake, physical activity, smoking, alcohol and substance use in childhood/adolescence as potential confounders. Outcomes: Psychosis risk (definite psychotic experiences, psychotic disorder, at-risk mental state status, and negative symptom score) and depression risk (ICD-10 depressive episode, depression symptom score) assessed at 24y. Results: From 5,790 participants (45.9% male) for FI, and 10,463 participants (49.0% male) for BMI, we identified three distinct trajectories for FI, and five for BMI, all of which were clearly differentiated by mid-childhood. The persistently high FI trajectory was associated with psychosis at-risk mental state (adjusted OR=5.01; 95% C.I., 1.76-13.19) and psychotic disorder (adjusted OR=3.22; 95% C.I., 1.11-9.90), but not depression. Puberty-onset major BMI increase was associated with depression (adjusted OR=4.46; 95% C.I., 2.38-9.87), but not psychosis. Conclusions and Relevance: The cardiometabolic comorbidity of psychosis and depression may have distinct, disorder-specific early-life origins. Disrupted insulin sensitivity could be a shared risk factor for comorbid cardiometabolic disorders and psychosis. Puberty-onset major BMI increase could be a risk factor/risk indicator for depression. These markers may represent important targets for treatment/prevention of cardiometabolic disorders in psychosis and depression.

Název v anglickém jazyce

Longitudinal Trends in Childhood Insulin Levels and Body Mass Index and Associations With Risks of Psychosis and Depression in Young Adults

Popis výsledku anglicky

Importance: Cardiometabolic disorders often co-occur with psychosis and depression, contribute to higher mortality rates, and are detectable from the onset of the psychiatric disorders. However, it is unclear how longitudinal trends in cardiometabolic traits from childhood relate to risks of adult psychosis and depression. Objective: To examine whether specific developmental trajectories of fasting insulin (FI) and body mass index (BMI) from early-childhood were longitudinally associated with adult psychosis and depression. Design: Cohort study from Avon Longitudinal Study of Parents and Children (ALSPAC) using data from 1-24y. Setting: Prospective population-representative British birth cohort. Participants: BMI and FI data obtained from 10,463 and 5,790 participants, respectively, used for growth mixture modelling to delineate developmental trajectories. Associations with psychosis and depression were assessed on 3,804 and 3,795 participants, respectively. Exposures: FI was measured at 9, 15, 18 and 24y. BMI was measured at 1, 2, 3, 4, 7, 9, 10, 11, 12, 15, 18 and 24y. We included sex, ethnicity, paternal social class, childhood emotional and behavioural problems, and cumulative scores of sleep problems, average calorie intake, physical activity, smoking, alcohol and substance use in childhood/adolescence as potential confounders. Outcomes: Psychosis risk (definite psychotic experiences, psychotic disorder, at-risk mental state status, and negative symptom score) and depression risk (ICD-10 depressive episode, depression symptom score) assessed at 24y. Results: From 5,790 participants (45.9% male) for FI, and 10,463 participants (49.0% male) for BMI, we identified three distinct trajectories for FI, and five for BMI, all of which were clearly differentiated by mid-childhood. The persistently high FI trajectory was associated with psychosis at-risk mental state (adjusted OR=5.01; 95% C.I., 1.76-13.19) and psychotic disorder (adjusted OR=3.22; 95% C.I., 1.11-9.90), but not depression. Puberty-onset major BMI increase was associated with depression (adjusted OR=4.46; 95% C.I., 2.38-9.87), but not psychosis. Conclusions and Relevance: The cardiometabolic comorbidity of psychosis and depression may have distinct, disorder-specific early-life origins. Disrupted insulin sensitivity could be a shared risk factor for comorbid cardiometabolic disorders and psychosis. Puberty-onset major BMI increase could be a risk factor/risk indicator for depression. These markers may represent important targets for treatment/prevention of cardiometabolic disorders in psychosis and depression.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30215 - Psychiatry

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

JAMA Psychiatry

ISSN

2168-622X

e-ISSN

—

Svazek periodika

78

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

10

Strana od-do

416-425

Kód UT WoS článku

000607740900001

EID výsledku v databázi Scopus

2-s2.0-85099708630