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Rohan KJ, Camuso J, Perez J, Iyiewuare P, Meyerhoff J, DeSarno MJ, Vacek PM. Detecting Critical Decision Points during Cognitive-Behavioral Therapy and Light Therapy for Winter Depression Nonremission and Recurrence. JOURNAL OF BEHAVIORAL AND COGNITIVE THERAPY 2020; 30:241-252. [PMID: 36186272 PMCID: PMC9524476 DOI: 10.1016/j.jbct.2020.10.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Using data from a clinical trial comparing cognitive-behavioral therapy (CBT-SAD) and light therapy (LT) for winter seasonal affective disorder (SAD; N = 177), we explored critical decision points, or treatment weeks, that predict likelihood of nonremission at post-treatment and depression recurrence following treatment. In receiver operator characteristic (ROC) curve analyses, we used weekly Structured Clinical Interview for the Hamilton Rating Scale for Depression-SAD Version (SIGH-SAD) scores during treatment to predict nonremission at post-treatment (Week 6) and recurrence one winter later (Winter 1), two winters later (Winter 2), and any recurrence. Although several C-statistics of ≥ .70 were found, only Week 4 SIGH-SAD scores in CBT-SAD for nonremission had enough predictive ability to inform clinical decision-making (C-statistic = .80; sensitivity = .91; specificity = .68). Week 4 of CBT-SAD may be a critical time point to identify likely nonremitters who need tailoring of intervention, based on SIGH-SAD cutpoint score ≥ 13. This study illustrates how clinical trial data can inform detecting optimal decision points in treatment for identifying patients unlikely to remit, a critical first step to developing adaptive treatment strategies using decision rules to operationalize when and for whom treatment should change to maximize clinical benefit.
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Affiliation(s)
- Kelly J. Rohan
- Department of Psychological Science, University of Vermont, John Dewey Hall, 2 Colchester Avenue, Burlington, VT 05405-0134, U.S.A
| | - Julia Camuso
- Department of Psychological Science, University of Vermont, John Dewey Hall, 2 Colchester Avenue, Burlington, VT 05405-0134, U.S.A
| | - Jessica Perez
- Department of Psychological Science, University of Vermont, John Dewey Hall, 2 Colchester Avenue, Burlington, VT 05405-0134, U.S.A
| | - Praise Iyiewuare
- Department of Psychological Science, University of Vermont, John Dewey Hall, 2 Colchester Avenue, Burlington, VT 05405-0134, U.S.A
| | - Jonah Meyerhoff
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, 750 N. Lake Shore Drive, 10th Floor, Chicago IL, 60611, U.S.A
| | - Michael J. DeSarno
- Biomedical Statistics Research Core, University of Vermont Larner College of Medicine, 25 Hills Building, 111 Colchester Avenue, Burlington, VT 05401-0134, U.S.A
| | - Pamela M. Vacek
- Biomedical Statistics Research Core, University of Vermont Larner College of Medicine, 25 Hills Building, 111 Colchester Avenue, Burlington, VT 05401-0134, U.S.A
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Geoffroy PA, Godin O, Mahee D, Henry C, Aubin V, Azorin JM, Bougerol T, Courtet P, Gard S, Kahn JP, Passerieux C, Leboyer M, Bellivier F, Etain B. Seasonal pattern in bipolar disorders and cardio-vascular risk factors: A study from the FACE-BD cohort. Chronobiol Int 2017; 34:845-854. [PMID: 28537802 DOI: 10.1080/07420528.2017.1324472] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Seasonal pattern (SP) and metabolic syndrome (MetS) are major contributors to poor outcome in bipolar disorders (BD). Patients with seasonal bipolar depression present increased appetite, carbohydrate cravings, weight gain, and hypersomnia, which can increase the development of MetS. MetS also appears to be associated with seasonal mood changes in the general population. This study examines whether a SP in BD is associated with an increased risk of MetS and its sub-components. One thousand four hundred and seventy-one outpatients with BD were systematically enrolled from 2009 to 2016. Inclusion required a disease duration of at least 5 years, with 486 (33%) patients with SP (SP+) and 985 (67%) without (SP-) according to the DSM IV-TR criteria. When using continuous measures of metabolic components, SP+ patients, as compared to SP-, suffered from higher levels for systolic blood pressure (p = 0.01), low-density lipoprotein cholesterol (p = 0.009), fasting glucose (p = 0.007), triglycerides levels (p = 0.03), a larger abdominal circumference (p = 0.02), and a higher body mass index (p = 0.07). In the covariance analysis, adjusted for gender, age, and bipolar subtype, as well as the number of depressive and hypomanic episode, SP+ patients had a significantly higher level of fasting glucose and higher systolic blood pressure. The frequency of MetS did not differ between groups (21.2% in SP- versus 23.9% in SP+). When using categorical definitions for abnormal metabolic components (International Diabetes Federation criteria), there were no differences between groups, except that SP+ patients were more overweight/obese as compared to SP- patients (55.03% versus 46.7%, respectively; p = 0.002) and tended to have more frequently high fasting glucose (18.2% versus 14.3%, respectively; p = 0.07). MetS was frequent in patients with BD, however not associated with SP. Patients with SP appeared more vulnerable to overweight/obesity and presented with higher levels of MetS subcomponents although these parameters were mainly in the normal range. All patients with BD should benefit from early screening and targeted management of cardio-vascular risk factors.
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Affiliation(s)
- Pierre A Geoffroy
- a AP-HP, GH Saint-Louis - Lariboisière - F. Widal, Département de Psychiatrie et de Médecine Addictologique , Paris , France.,b Université Paris Diderot , Sorbonne Paris Cité , Paris , France.,c Inserm, U1144 , Paris , France.,d Fondation FondaMental , Créteil , France
| | - Ophelia Godin
- d Fondation FondaMental , Créteil , France.,e Inserm, U955, Equipe Psychiatrie Translationnelle , Créteil , France.,f Sorbonne Universités, Université Pierre et Marie Curie, Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP UMRS 1136) , Paris , France.,g INSERM, UMR_S 1136 , F-75013 Paris , France
| | - Diane Mahee
- a AP-HP, GH Saint-Louis - Lariboisière - F. Widal, Département de Psychiatrie et de Médecine Addictologique , Paris , France
| | - Chantal Henry
- d Fondation FondaMental , Créteil , France.,e Inserm, U955, Equipe Psychiatrie Translationnelle , Créteil , France.,h Université Paris Est, Faculté de Médecine , Créteil , France.,j Institut Pasteur, Unité Perception et Mémoire , Paris , France
| | - Valérie Aubin
- d Fondation FondaMental , Créteil , France.,k Service de psychiatrie, Centre hospitalier Princesse-Grace , Avenue Pasteur , Monaco
| | - Jean-Michel Azorin
- d Fondation FondaMental , Créteil , France.,l Pôle de psychiatrie, Hôpital Sainte Marguerite, Assistance Publique Hôpitaux de Marseille, France; Aix-Marseille Université, CNRS , CRN2M UMR 7286 , Marseille , France
| | - Thierry Bougerol
- d Fondation FondaMental , Créteil , France.,m Clinique Universitaire de Psychiatrie, CHU de Grenoble , Grenoble , France
| | - Philippe Courtet
- d Fondation FondaMental , Créteil , France.,n Département d'Urgence et Post Urgence Psychiatrique , CHRU Montpellier, INSERM U1061, Université Montpellier 1 , Montpellier , France
| | - Sébastien Gard
- d Fondation FondaMental , Créteil , France.,o Centre Expert Trouble Bipolaire, Pôle de Psychiatrie Générale Universitaire, Centre Hospitalier Charles Perrens , Bordeaux , France
| | - Jean-Pierre Kahn
- d Fondation FondaMental , Créteil , France.,p Université de Lorraine, CHRU de Nancy et Pôle 6 de Psychiatrie et Psychologie Clinique - Centre Psychothérapique de Nancy , 1 rue du Docteur Archambault, Laxou Cedex , France
| | - Christine Passerieux
- d Fondation FondaMental , Créteil , France.,q Université de Versailles Saint-Quentin, Centre Hospitalier de Versailles, Service de Psychiatrie Adulte , Le Chesnay , France
| | - Marion Leboyer
- d Fondation FondaMental , Créteil , France.,e Inserm, U955, Equipe Psychiatrie Translationnelle , Créteil , France.,h Université Paris Est, Faculté de Médecine , Créteil , France.,i AP-HP, Hôpitaux Universitaires Henri Mondor, DHU Pepsy, Pôle de Psychiatrie et d'Addictologie , Créteil , France
| | - Frank Bellivier
- a AP-HP, GH Saint-Louis - Lariboisière - F. Widal, Département de Psychiatrie et de Médecine Addictologique , Paris , France.,b Université Paris Diderot , Sorbonne Paris Cité , Paris , France.,c Inserm, U1144 , Paris , France.,d Fondation FondaMental , Créteil , France
| | - Bruno Etain
- a AP-HP, GH Saint-Louis - Lariboisière - F. Widal, Département de Psychiatrie et de Médecine Addictologique , Paris , France.,b Université Paris Diderot , Sorbonne Paris Cité , Paris , France.,c Inserm, U1144 , Paris , France.,d Fondation FondaMental , Créteil , France
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EGb761 attenuates depressive-like behaviours induced by long-term light deprivation in C57BL/6J mice through inhibition of NF-κB-IL-6 signalling pathway. Cent Eur J Immunol 2017; 41:350-357. [PMID: 28450797 PMCID: PMC5382876 DOI: 10.5114/ceji.2016.63807] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2015] [Accepted: 09/02/2015] [Indexed: 02/06/2023] Open
Abstract
Our previous investigation found that Ginkgo extract EGb761 could attenuate the depressive-like behaviours induced by a single injection of lipopolysaccharide in mice. However, it has not been investigated whether EGb761 is effective on depressive-like behaviours induced by long-term light deprivation and whether its effects are associated with the inhibition of NF-κB-IL-6 signalling pathway. In this study, three groups (vehicle group, EGb761 low-dose group, and EGb761 high-dose group) of C57BL/6J male mice were exposed to constant darkness for four weeks. The control mice remained on a 12 : 12 light-dark cycle. Depressive-like behaviours were evaluated by tail suspension test (TST), forced swim test (FST), and sucrose preference test (SPT). Spontaneous locomotor activity was evaluated by open field test (OFT). Levels of IL-6, IL-6 mRNA, NF-κB p65, phospho-NF-κB p65, IκBα, and phospho-IκBα were measured using Elisa, western blotting, or PCR assays. NF-κB p65 DNA binding activity was evaluated using Chemi Transcription Factor Assay Kit. Results showed long-term light deprivation prolonged the immobile time in TST and FST, shortened the latency to immobility in FST, reduced spontaneous locomotor activity in OFT, decreased sucrose preference in SPT, and increased levels of IL-6, IL-6 mRNA, NF-κB p65, phospho-NF-κB p65, and phospho-IκBα in hippocampal tissue. EGb761 dose-dependently reversed the changes of the above parameters induced by long-term light deprivation, without affecting spontaneous locomotor activity. We conclude that EGb761 could attenuate the depressive-like behaviours and inhibit the NF-κB-IL-6 signalling pathway in a light-deprivation-induced mouse model of depression.
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Yetish G, Kaplan H, Gurven M, Wood B, Pontzer H, Manger PR, Wilson C, McGregor R, Siegel JM. Natural sleep and its seasonal variations in three pre-industrial societies. Curr Biol 2015; 25:2862-2868. [PMID: 26480842 DOI: 10.1016/j.cub.2015.09.046] [Citation(s) in RCA: 200] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2015] [Revised: 09/01/2015] [Accepted: 09/18/2015] [Indexed: 12/12/2022]
Abstract
How did humans sleep before the modern era? Because the tools to measure sleep under natural conditions were developed long after the invention of the electric devices suspected of delaying and reducing sleep, we investigated sleep in three preindustrial societies [1-3]. We find that all three show similar sleep organization, suggesting that they express core human sleep patterns, most likely characteristic of pre-modern era Homo sapiens. Sleep periods, the times from onset to offset, averaged 6.9-8.5 hr, with sleep durations of 5.7-7.1 hr, amounts near the low end of those industrial societies [4-7]. There was a difference of nearly 1 hr between summer and winter sleep. Daily variation in sleep duration was strongly linked to time of onset, rather than offset. None of these groups began sleep near sunset, onset occurring, on average, 3.3 hr after sunset. Awakening was usually before sunrise. The sleep period consistently occurred during the nighttime period of falling environmental temperature, was not interrupted by extended periods of waking, and terminated, with vasoconstriction, near the nadir of daily ambient temperature. The daily cycle of temperature change, largely eliminated from modern sleep environments, may be a potent natural regulator of sleep. Light exposure was maximal in the morning and greatly decreased at noon, indicating that all three groups seek shade at midday and that light activation of the suprachiasmatic nucleus is maximal in the morning. Napping occurred on <7% of days in winter and <22% of days in summer. Mimicking aspects of the natural environment might be effective in treating certain modern sleep disorders.
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Affiliation(s)
- Gandhi Yetish
- Department of Anthropology, University of New Mexico, MSC01-1040, Albuquerque, NM 87131, USA
| | - Hillard Kaplan
- Department of Anthropology, University of New Mexico, MSC01-1040, Albuquerque, NM 87131, USA
| | - Michael Gurven
- Department of Anthropology, University of California, Santa Barbara, 1210 Cheadle Hall, Santa Barbara, CA 93106, USA
| | - Brian Wood
- Department of Anthropology, Yale University, 10 Sachem Street, New Haven, CT 06511, USA
| | - Herman Pontzer
- Department of Anthropology, Hunter College, 695 Park Avenue, New York, NY 10065, USA
| | - Paul R Manger
- School of Anatomical Sciences, University of the Witwatersrand, 7 York Road, Parktown, Johannesburg 2193, South Africa
| | - Charles Wilson
- Department of Neurology and Brain Research Institute, University of California, Los Angeles, 10833 Le Conte Avenue, Los Angeles, CA 90095, USA
| | - Ronald McGregor
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Jerome M Siegel
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA 90095, USA; VA Greater Los Angeles Healthcare System, 16111 Plummer Street, Los Angeles, CA 91343 USA; Brain Research Institute, University of California, Los Angeles, Los Angeles, CA 90095, USA.
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