2021
DOI: 10.1111/acps.13287
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Preventive effect of morning light exposure on relapse into depressive episode in bipolar disorder

Abstract: For patients with bipolar disorder, >40% experience relapse within 1 year despite maintenance treatment, 1 and >90% experience at least one additional mood episode during their lifetime. 2 Most of the relapse events are a depressive episode. 3 Bipolar depression is associated with a socioeconomic and caregiver burden and reduced quality of life for the patient 4 ; additionally, suicide attempts are closely associated with depressive polarity in the current or most recent episodes. 5

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Cited by 7 publications
(7 citation statements)
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“…In the Cox proportional hazards model, we analyzed the L5 parameter using natural log-transformed continuous variables given that it was not normally distributed. In multivariable analysis, we calculated the hazard ratio by simultaneously adjusting the variables associated with mood episodes, including age (per year), gender (female/male), residual mood symptoms (yes/no), multiple mood episodes within the past year before the baseline assessment (yes/no), total sleep time (abnormal sleep time [<6 or ≥9 h]/normal sleep time [≥6 and <9 h]), sleep efficiency (high/low, category based on the median value), and daytime illuminance (high/low) [11,[23][24][25][26][27]. We checked the multicollinearity among independent variables using the Spearman's rank correlation coefficient.…”
Section: Discussionmentioning
confidence: 99%
“…In the Cox proportional hazards model, we analyzed the L5 parameter using natural log-transformed continuous variables given that it was not normally distributed. In multivariable analysis, we calculated the hazard ratio by simultaneously adjusting the variables associated with mood episodes, including age (per year), gender (female/male), residual mood symptoms (yes/no), multiple mood episodes within the past year before the baseline assessment (yes/no), total sleep time (abnormal sleep time [<6 or ≥9 h]/normal sleep time [≥6 and <9 h]), sleep efficiency (high/low, category based on the median value), and daytime illuminance (high/low) [11,[23][24][25][26][27]. We checked the multicollinearity among independent variables using the Spearman's rank correlation coefficient.…”
Section: Discussionmentioning
confidence: 99%
“…Adjustment was needed for many potential confounders associated with mood episodes; therefore, propensity scoring was employed to determine the hazard ratio (HR) for mood episodes in the multivariable model. The propensity score in relation to average LAN (≥3 lux vs. <3 lux) was calculated from the logistic regression model, which included the variables associated with mood episodes, such as age (per year), gender (female or male), employment status (yes or no), type of bipolar disorder (I or II), anxiety disorder (yes or no), substance use disorder (yes or no), depressive symptoms (MADRS score of ≥8 points), manic symptoms (high or low; categories were based on the median value), multiple mood episodes during the year before baseline assessment (yes or no), body mass index (per kg/m 2 ), bedtime (per hour), rising time (per hour), total sleep time (per min), sleep efficiency (per %), daytime physical activity (per counts/min), daytime illuminance (per lux), and day length (per min) 1,6,7,9,16‐21 …”
Section: Methodsmentioning
confidence: 99%
“…Individuals struggling with bipolar disorder carry a significant burden of general medical comorbidity, which contributes significantly to the overarching socioeconomic impact [ 14 ]. Furthermore, the estimated lifetime prevalence of bipolar disorder in Europe is 3.9%, highlighting the large number of people affected by this condition [ 15 ]. Caregivers supporting individuals with bipolar disorder face burdens that impact health, mental well-being, and financial situations, emphasizing the far-reaching impact on the support network of these patients [ 16 ].…”
Section: Socioeconomic Associations Between Psychiatric Illness and C...mentioning
confidence: 99%