Early indicators of bipolar risk in preschool offspring of parents with bipolar disorder / Danella M. HAFEMAN in Journal of Child Psychology and Psychiatry, 64-10 (October 2023)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 64-10 (October 2023) . - p.1492-1500 Titre : Early indicators of bipolar risk in preschool offspring of parents with bipolar disorder Type de document : Texte imprimé et/ou numérique Auteurs : Danella M. HAFEMAN, Auteur ; John MERRANKO, Auteur ; Heather M. JOSEPH, Auteur ; Tina R. GOLDSTEIN, Auteur ; Benjamin I. GOLDSTEIN, Auteur ; Jessica LEVENSON, Auteur ; David AXELSON, Auteur ; Kelly MONK, Auteur ; Dara SAKOLSKY, Auteur ; Satish IYENGAR, Auteur ; Boris BIRMAHER, Auteur Article en page(s) : p.1492-1500 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Background Offspring of parents with bipolar disorder (BD-I/II) are at increased risk to develop the disorder. Previous work indicates that bipolar spectrum disorder (BPSD) is often preceded by mood/anxiety symptoms. In school-age offspring of parents with BD, we previously built a risk calculator to predict BPSD onset, which generates person-level risk scores. Here, we test whether preschool symptoms predict school-age BPSD risk. Methods We assessed 113 offspring of parents with BD 1-3 times during preschool years (2-5?years old) and then approximately every 2?years for a mean of 10.6?years. We used penalized (lasso) regression with linear mixed models to assess relationships between preschool mood, anxiety, and behavioral symptoms (parent-reported) and school-age predictors of BPSD onset (i.e., risk score, subthreshold manic symptoms, and mood lability), adjusting for demographics and parental symptomatology. Finally, we conducted survival analyses to assess associations between preschool symptoms and school-age onset of BPSD and mood disorder. Results Of 113 preschool offspring, 33 developed new-onset mood disorder, including 19 with new-onset BPSD. Preschool irritability, sleep problems, and parental factors were lasso-selected predictors of school-age risk scores. After accounting for demographic and parental factors, preschool symptoms were no longer significant. Lasso regressions to predict mood lability and subthreshold manic symptoms yielded similar predictors (irritability, sleep problems, and parental affective lability), but preschool symptoms remained predictive even after adjusting for parental factors (ps<.005). Exploratory analyses indicated that preschool irritability univariately predicted new-onset BPSD (p =?.02) and mood disorder (p =?.02). Conclusions These results provide initial prospective evidence that, as early as preschool, youth who will develop elevated risk scores, mood lability, and subthreshold manic symptoms are already showing symptomatology; these preschool symptoms also predict new-onset BPSD. While replication of findings in larger samples is warranted, results point to the need for earlier assessment of risk and development of early interventions. En ligne : https://doi.org/10.1111/jcpp.13739 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=512 [article] Early indicators of bipolar risk in preschool offspring of parents with bipolar disorder [Texte imprimé et/ou numérique] / Danella M. HAFEMAN, Auteur ; John MERRANKO, Auteur ; Heather M. JOSEPH, Auteur ; Tina R. GOLDSTEIN, Auteur ; Benjamin I. GOLDSTEIN, Auteur ; Jessica LEVENSON, Auteur ; David AXELSON, Auteur ; Kelly MONK, Auteur ; Dara SAKOLSKY, Auteur ; Satish IYENGAR, Auteur ; Boris BIRMAHER, Auteur . - p.1492-1500. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 64-10 (October 2023) . - p.1492-1500 Index. décimale : PER Périodiques Résumé : Background Offspring of parents with bipolar disorder (BD-I/II) are at increased risk to develop the disorder. Previous work indicates that bipolar spectrum disorder (BPSD) is often preceded by mood/anxiety symptoms. In school-age offspring of parents with BD, we previously built a risk calculator to predict BPSD onset, which generates person-level risk scores. Here, we test whether preschool symptoms predict school-age BPSD risk. Methods We assessed 113 offspring of parents with BD 1-3 times during preschool years (2-5?years old) and then approximately every 2?years for a mean of 10.6?years. We used penalized (lasso) regression with linear mixed models to assess relationships between preschool mood, anxiety, and behavioral symptoms (parent-reported) and school-age predictors of BPSD onset (i.e., risk score, subthreshold manic symptoms, and mood lability), adjusting for demographics and parental symptomatology. Finally, we conducted survival analyses to assess associations between preschool symptoms and school-age onset of BPSD and mood disorder. Results Of 113 preschool offspring, 33 developed new-onset mood disorder, including 19 with new-onset BPSD. Preschool irritability, sleep problems, and parental factors were lasso-selected predictors of school-age risk scores. After accounting for demographic and parental factors, preschool symptoms were no longer significant. Lasso regressions to predict mood lability and subthreshold manic symptoms yielded similar predictors (irritability, sleep problems, and parental affective lability), but preschool symptoms remained predictive even after adjusting for parental factors (ps<.005). Exploratory analyses indicated that preschool irritability univariately predicted new-onset BPSD (p =?.02) and mood disorder (p =?.02). Conclusions These results provide initial prospective evidence that, as early as preschool, youth who will develop elevated risk scores, mood lability, and subthreshold manic symptoms are already showing symptomatology; these preschool symptoms also predict new-onset BPSD. While replication of findings in larger samples is warranted, results point to the need for earlier assessment of risk and development of early interventions. En ligne : https://doi.org/10.1111/jcpp.13739 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=512

Sleep influences daily suicidal ideation through affective reactivity to interpersonal events among high-risk adolescents and young adults / Jessica L. HAMILTON in Journal of Child Psychology and Psychiatry, 64-1 (January 2023)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 64-1 (January 2023) . - p.27-38 Titre : Sleep influences daily suicidal ideation through affective reactivity to interpersonal events among high-risk adolescents and young adults Type de document : Texte imprimé et/ou numérique Auteurs : Jessica L. HAMILTON, Auteur ; Aliona TSYPES, Auteur ; Jamie ZELAZNY, Auteur ; Craig J.R. SEWALL, Auteur ; Noelle RODE, Auteur ; John MERRANKO, Auteur ; David A. BRENT, Auteur ; Tina R. GOLDSTEIN, Auteur ; Peter L. FRANZEN, Auteur Article en page(s) : p.27-38 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Background Identifying proximal risk factors for suicidal ideation that are modifiable and relevant for adolescents and young adults is critical for suicide prevention. This study used an intensive monitoring approach to examine whether objectively- and subjectively- measured sleep characteristics predict next-day suicidal ideation occurrence and intensity through affective reactivity to interpersonal events in young people at high risk for suicide. Methods Participants included 59 (13-23 years; 76% White; 75% female) adolescents and young adults undergoing intensive outpatient program treatment for depression and suicidality. Participants completed daily ratings of suicidal ideation, sleep quality, and affective reactivity to positive and negative interpersonal events for up to 3 months (M=56 days, SD=24.13). Actigraphy captured behavioral sleep duration and timing. Multilevel modeling was used to evaluate within-person fluctuations in sleep and affective reactivity as predictors of suicidal ideation, and multilevel mediation tested the indirect effects of sleep on suicidal ideation via affective reactivity to interpersonal events. Results Results indicate significant indirect effects of objectively measured sleep duration and subjective sleep quality on next-day suicidal ideation via affective reactivity to negative and positive interpersonal events, respectively. Shorter-than-usual sleep predicted the presence and intensity of next-day suicidal ideation via heightened affective reactivity to negative interpersonal events. Worse sleep quality than usual predicted next-day suicidal ideation via reduced affective reactivity to positive interpersonal events. Conclusions Affectivity reactivity is a proximal mechanism through which sleep indices may influence risk for suicidal thinking on a daily basis. Findings highlight the utility of targeting sleep and emotion regulation in suicide prevention among adolescents and young adults at high-risk for suicide. En ligne : https://doi.org/10.1111/jcpp.13651 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=490 [article] Sleep influences daily suicidal ideation through affective reactivity to interpersonal events among high-risk adolescents and young adults [Texte imprimé et/ou numérique] / Jessica L. HAMILTON, Auteur ; Aliona TSYPES, Auteur ; Jamie ZELAZNY, Auteur ; Craig J.R. SEWALL, Auteur ; Noelle RODE, Auteur ; John MERRANKO, Auteur ; David A. BRENT, Auteur ; Tina R. GOLDSTEIN, Auteur ; Peter L. FRANZEN, Auteur . - p.27-38. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 64-1 (January 2023) . - p.27-38 Index. décimale : PER Périodiques Résumé : Background Identifying proximal risk factors for suicidal ideation that are modifiable and relevant for adolescents and young adults is critical for suicide prevention. This study used an intensive monitoring approach to examine whether objectively- and subjectively- measured sleep characteristics predict next-day suicidal ideation occurrence and intensity through affective reactivity to interpersonal events in young people at high risk for suicide. Methods Participants included 59 (13-23 years; 76% White; 75% female) adolescents and young adults undergoing intensive outpatient program treatment for depression and suicidality. Participants completed daily ratings of suicidal ideation, sleep quality, and affective reactivity to positive and negative interpersonal events for up to 3 months (M=56 days, SD=24.13). Actigraphy captured behavioral sleep duration and timing. Multilevel modeling was used to evaluate within-person fluctuations in sleep and affective reactivity as predictors of suicidal ideation, and multilevel mediation tested the indirect effects of sleep on suicidal ideation via affective reactivity to interpersonal events. Results Results indicate significant indirect effects of objectively measured sleep duration and subjective sleep quality on next-day suicidal ideation via affective reactivity to negative and positive interpersonal events, respectively. Shorter-than-usual sleep predicted the presence and intensity of next-day suicidal ideation via heightened affective reactivity to negative interpersonal events. Worse sleep quality than usual predicted next-day suicidal ideation via reduced affective reactivity to positive interpersonal events. Conclusions Affectivity reactivity is a proximal mechanism through which sleep indices may influence risk for suicidal thinking on a daily basis. Findings highlight the utility of targeting sleep and emotion regulation in suicide prevention among adolescents and young adults at high-risk for suicide. En ligne : https://doi.org/10.1111/jcpp.13651 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=490

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