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Cho CH, Son S, Lee Y, Jeong J, Yeom JW, Seo JY, Moon E, Baek JH, Park DY, Kim SJ, Ha TH, Cha B, Kang HJ, Ahn YM, An H, Lee HJ. Identifying predictive factors for mood recurrence in early-onset major mood disorders: A 4-year, multicenter, prospective cohort study. Psychiatry Res 2024; 335:115882. [PMID: 38554495 DOI: 10.1016/j.psychres.2024.115882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 03/04/2024] [Accepted: 03/27/2024] [Indexed: 04/01/2024]
Abstract
We investigate the predictive factors of the mood recurrence in patients with early-onset major mood disorders from a prospective observational cohort study from July 2015 to December 2019. A total of 495 patients were classified into three groups according to recurrence during the cohort observation period: recurrence group with (hypo)manic or mixed features (MMR), recurrence group with only depressive features (ODR), and no recurrence group (NR). As a result, the baseline diagnosis of bipolar disorder type 1 (BDI) and bipolar disorder type 2 (BDII), along with a familial history of BD, are strong predictors of the MMR. The discrepancies in wake-up times between weekdays and weekends, along with disrupted circadian rhythms, are identified as a notable predictor of ODR. Our findings confirm that we need to be aware of different predictors for each form of mood recurrences in patients with early-onset mood disorders. In clinical practice, we expect that information obtained from the initial assessment of patients with mood disorders, such as mood disorder type, family history of BD, regularity of wake-up time, and disruption of circadian rhythms, can help predict the risk of recurrence for each patient, allowing for early detection and timely intervention.
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Affiliation(s)
- Chul-Hyun Cho
- Department of Psychiatry, Korea University College of Medicine, Seoul, South Korea; Korea University Chronobiology Institute, Seoul, South Korea
| | - Serhim Son
- Department of Biostatistics, Korea University College of Medicine, Seoul, South Korea
| | - Yujin Lee
- Korea University Chronobiology Institute, Seoul, South Korea; Department of Psychiatry, Seoul Metropolitan Eunpyeong Hospital, Seoul, South Korea
| | - Jaegwon Jeong
- Department of Psychiatry, Korea University College of Medicine, Seoul, South Korea; Korea University Chronobiology Institute, Seoul, South Korea
| | - Ji Won Yeom
- Department of Psychiatry, Korea University College of Medicine, Seoul, South Korea; Korea University Chronobiology Institute, Seoul, South Korea
| | - Ju Yeon Seo
- Department of Psychiatry, Korea University College of Medicine, Seoul, South Korea; Korea University Chronobiology Institute, Seoul, South Korea
| | - Eunsoo Moon
- Department of Psychiatry, Pusan National University School of Medicine, Busan, South Korea
| | - Ji Hyun Baek
- Department of Psychiatry, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Dong Yeon Park
- Department of Psychiatry, National Center for Mental Health, Seoul, South Korea
| | - Se Joo Kim
- Department of Psychiatry and Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, South Korea
| | - Tae Hyon Ha
- Department of Psychiatry, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Boseok Cha
- Department of Psychiatry, Gyeongsang National University College of Medicine, Jinju, South Korea
| | - Hee-Ju Kang
- Department of Psychiatry, Chonnam National University College of Medicine, Gwangju, South Korea
| | - Yong-Min Ahn
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, South Korea
| | - Hyonggin An
- Department of Biostatistics, Korea University College of Medicine, Seoul, South Korea
| | - Heon-Jeong Lee
- Department of Psychiatry, Korea University College of Medicine, Seoul, South Korea; Korea University Chronobiology Institute, Seoul, South Korea.
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Jansen K, Grellert M, Nexha A, Oses JP, Silva RAD, Souza LDDM, Kapczinski F, Frey BN, de Azevedo Cardoso T. Biological rhythms disruption mediates the association between mother's diagnosis of bipolar disorder and offspring's emotional/behavioral problems. J Affect Disord 2023; 327:230-235. [PMID: 36736792 DOI: 10.1016/j.jad.2023.01.119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 01/23/2023] [Accepted: 01/30/2023] [Indexed: 02/04/2023]
Abstract
OBJECTIVE The current study assesses whether the association between diagnosis of Bipolar Disorder (BD) in mothers and emotional and behavioral problems (EBP) in their offspring is mediated by a disruption in the offspring's biological rhythms. METHODS A probabilistic sample of 492 public school children (ages 7-8, 48 % female) were assessed for biological rhythms disruption and EBP using the Biological Rhythms Interview for Assessment in Neuropsychiatry for Kids and the Strengths and Difficulties Questionnaire, respectively. Mothers' mental health (BD = 64) was evaluated using a standardized clinical interview. A mediation analysis was conducted to assess the effect of the mother's diagnosis of BD on the EBP of their offspring in relation to the offspring's biological rhythms disruptions. RESULTS When compared to offspring of mothers without BD, offspring of mothers with BD showed greater difficulty in maintaining biological rhythms and higher prevalence of EBP. Using the presence of EBP as the outcome, 75 % of the effect of mother's BD diagnosis was mediated by offspring's biological rhythms disruption. CONCLUSIONS Biological rhythms disruption in children fully mediates the effect of the mother's diagnosis of BD on the child's EBP. These data encourage the development of further studies to find effective strategies to prevent and treat biological rhythms disruption in offspring of mothers with BD.
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Affiliation(s)
- Karen Jansen
- Health and Behavior Department, Catholic University of Pelotas, Brazil; Cogniciência, Pelotas, RS, Brazil
| | - Mateus Grellert
- Departamento de Informática e Estatística, Universidade Federal de Santa Catarina, Brazil
| | - Adile Nexha
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Canada
| | - Jean Pierre Oses
- Programa de Pós-Graduação em Ciências Fisiológicas, Universidade Federal do Rio Grande, Brazil
| | | | | | - Flavio Kapczinski
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Canada; Bipolar Disorder Program, Laboratory of Molecular Psychiatry, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil; Department of Psychiatry, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil; Instituto Nacional de Ciência e Tecnologia Translacional em Medicina (INCT-TM), Porto Alegre, RS, Brazil
| | - Benicio N Frey
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Canada; Women's Health Concerns Clinic, St. Joseph's Healthcare Hamilton, Canada
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He S, Ding L, He K, Zheng B, Liu D, Zhang M, Yang Y, Mo Y, Li H, Cai Y, Peng D. Reliability and validity of the Chinese version of the biological rhythms interview of assessment in neuropsychiatry in patients with major depressive disorder. BMC Psychiatry 2022; 22:834. [PMID: 36581864 PMCID: PMC9798705 DOI: 10.1186/s12888-022-04487-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 12/19/2022] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Although disturbances in biological rhythms are closely related to the onset of major depressive disorder (MDD), they are not commonly assessed in Chinese clinical practice. The Biological Rhythms Interview of Assessment in Neuropsychiatry (BRIAN) has been used to evaluate disturbances in biological rhythms in MDD. We aimed to assess and confirm the reliability and validity of the Chinese version of the BRIAN (C-BRIAN) in patients with MDD. METHODS A total of 120 patients with MDD and 40 age- and sex-matched controls were recruited consecutively. Reliability was estimated using Cronbach's alpha, the split-half coefficient, and the test-retest coefficient; test-retest reliability was assessed using Spearman's correlation coefficient. A confirmatory factor analysis was used to determine the construct validity of the scale. The Pittsburgh Sleep Quality Index (PSQI) and the Morningness-Eveningness Questionnaire (MEQ) were used to check concurrent validity by evaluating the correlation between the C-BRIAN, PSQI, and MEQ. RESULTS The overall Cronbach's α value was 0.898, indicating good internal consistency. The Guttman split-half coefficient was 0.792, indicating good split-half reliability. Moreover, the test-retest reliability for both the total and individual item score was excellent. Confirmatory factor analysis revealed that construct validity was acceptable (χ2/df = 2.117, GFI = 0.80, AGFI = 0.87, CFI = 0.848, and RMSEA = 0.097). Furthermore, total BRIAN scores were found to be negatively correlated with MEQ (r = - 0.517, P < 0.001) and positively correlated with PSQI (r = 0.586, P < 0.001). In addition, patients with MDD had higher BRIAN scores than those in controls. CONCLUSIONS This study revealed that the C-BRIAN scale has great validity and reliability in evaluating the disturbance of biological rhythms in patients with MDD.
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Affiliation(s)
- Shen He
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 South Wan Ping Road, Shanghai, 200030, People's Republic of China
| | - Lei Ding
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 South Wan Ping Road, Shanghai, 200030, People's Republic of China
| | - Kaibing He
- Shanghai Medical College of Fudan University, Shanghai, China
| | | | - Dan Liu
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 South Wan Ping Road, Shanghai, 200030, People's Republic of China
| | - Min Zhang
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 South Wan Ping Road, Shanghai, 200030, People's Republic of China
| | - Yao Yang
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 South Wan Ping Road, Shanghai, 200030, People's Republic of China
| | - Yingqun Mo
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 South Wan Ping Road, Shanghai, 200030, People's Republic of China
| | - Hua Li
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 South Wan Ping Road, Shanghai, 200030, People's Republic of China
| | - Yiyun Cai
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 South Wan Ping Road, Shanghai, 200030, People's Republic of China.
| | - Daihui Peng
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 South Wan Ping Road, Shanghai, 200030, People's Republic of China.
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Meyrel M, Scott J, Etain B. Chronotypes and circadian rest-activity rhythms in bipolar disorders: a meta-analysis of self- and observer rating scales. Bipolar Disord 2022; 24:286-297. [PMID: 34486201 DOI: 10.1111/bdi.13122] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2021] [Revised: 07/13/2021] [Accepted: 08/28/2021] [Indexed: 12/15/2022]
Abstract
OBJECTIVE Chronobiological models postulate that abnormalities in circadian rest/activity rhythms (CRAR) are core phenomena of bipolar disorders (BDs). We undertook a meta-analysis of published studies to determine whether self- or observer ratings of CRAR differentiate BD cases from comparators (typically healthy controls [HCs]). METHOD We undertook systematic searches of four databases to identify studies for inclusion in random effects meta-analyses and meta-regression analyses. Effect sizes (ES) for pooled analyses of self- and observer ratings were expressed as standardized mean differences with 95% confidence intervals (CIs). RESULTS The 30 studies meeting eligibility criteria included 2840 cases and 3573 controls. Compared with HC, BD cases showed greater eveningness (ES: 0.33; 95% CI: 0.12-0.54), lower flexibility of rhythms (ES: 0.36; 95% CI: 0.06-0.67), lower amplitude of rhythms (ES: 0.55; 95% CI: 0.39-0.70) and more disturbances across a range of CRAR (ES of 0.78-1.12 for general and social activities, sleep and eating patterns). Between study heterogeneity was high (I2 > 70%) and evidence indicated a potential publication bias for studies using the Biological Rhythms Interview of Assessment in Neuropsychiatry. Meta-regression analyses suggested significantly larger ES were observed in studies using observer ratings or including BD cases with higher levels of depressive symptoms. CONCLUSION This meta-analysis demonstrates that BD is associated with higher levels of self- or observer-rated CRAR disturbances compared with controls. However, further studies should examine the respective performance of individual instruments when used alone or in combination, to clarify their applicability and utility in clinical practice.
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Affiliation(s)
- Manon Meyrel
- Université de Paris, Paris, France.,Département de Psychiatrie et de Médecine Addictologique, APHP.Nord, DMU Neurosciences, GHU Lariboisière - Saint Louis - Fernand Widal, Paris, France
| | - Jan Scott
- Université de Paris, Paris, France.,Département de Psychiatrie et de Médecine Addictologique, APHP.Nord, DMU Neurosciences, GHU Lariboisière - Saint Louis - Fernand Widal, Paris, France.,Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK
| | - Bruno Etain
- Université de Paris, Paris, France.,Département de Psychiatrie et de Médecine Addictologique, APHP.Nord, DMU Neurosciences, GHU Lariboisière - Saint Louis - Fernand Widal, Paris, France.,INSERM UMRS-1144, Université de Paris, Paris, France
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