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Dynamic modelling of chronotype and hypo/manic and depressive symptoms in young people with emerging mental disorders
Journal article   Open access   Peer reviewed

Dynamic modelling of chronotype and hypo/manic and depressive symptoms in young people with emerging mental disorders

Timothy R. Wong, Ian B. Hickie, Joanne S. Carpenter, Elizabeth M. Scott, Adam J. Guastella, Parisa Vidafar, Jan Scott, Daniel F. Hermens and Jacob J. Crouse
Chronobiology International, Vol.40(6), pp.699-709
2023
PMID: 37132360
Appears in  Thompson Institute Research Collection
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Dynamic modelling of chronotype and hypo manic and depressive symptoms in young people with emerging mental disorders2.88 MBDownloadView
Published Version Open Access CC BY V4.0
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https://doi.org/10.1080/07420528.2023.2203241View
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Abstract

bipolar circadian preference depression Diurnal preference mania mood disorders psychopathology psychosis Other Collaborations Thompson Institute Special Collection UniSC Diversity Area - Disability and Inclusion
There is significant interest in the possible influence of chronotype on clinical states in young people with emerging mental disorders. We apply a dynamic approach (bivariate latent change score modelling) to examine the possible prospective influence of chronotype on depressive and hypo or manic symptoms in a youth cohort with predominantly depressive, bipolar, and psychotic disorders (N = 118; 14-30-years), who completed a baseline and follow-up assessment of these constructs (mean interval = 1.8-years). Our primary hypotheses were that greater baseline eveningness would predict increases in depressive but not hypo or manic symptoms. We found moderate to strong autoregressive effects for chronotype (β = -0.447 to −0.448, p < 0.001), depressive (β = -0.650, p < 0.001) and hypo or manic symptoms (β = -0.819, p < 0.001). Against our predictions, baseline chronotypes did not predict change in depressive (β = -0.016, p = 0.810) or hypo or manic symptoms (β = 0.077, p = 0.104). Similarly, the change in chronotype did not correlate with the change in depressive symptoms (β = -0.096, p = 0.295) nor did the change in chronotype and the change in hypo or manic symptoms (β = -0.166, p = 0.070). These data suggest that chronotypes may have low utility for predicting future hypo or manic and depressive symptoms in the short term, or that more frequent assessments over longer periods are needed to observe these associations. Future studies should test whether other circadian phenotypes (e.g. sleep-wake variability) are better indicators of illness course.

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