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Lewis P, Gottlieb JF, Morfeld P, Hellmich M, Erren TC. Perinatal photoperiod associations with bipolar disorder and depression: A systematic literature review and cross-sectional analysis of the UK Biobank database. Psychiatry Res 2024; 335:115878. [PMID: 38581863 DOI: 10.1016/j.psychres.2024.115878] [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: 11/06/2023] [Revised: 03/07/2024] [Accepted: 03/24/2024] [Indexed: 04/08/2024]
Abstract
Season-of-birth associations with psychiatric disorders point to environmental (co-)aetiological factors such as natural photoperiod that, if clarified, may allow interventions toward prevention. We systematically reviewed the literature concerning season-of-birth and bipolar disorder and depression and explored associations between the perinatal natural photoperiod and these outcomes in a cross-sectional analysis of the UK Biobank database. We used mean daily photoperiod and relative photoperiod range (relative to the mean) in the 3rd trimester and, separately, in the first 3 months post birth as metrics. From review, increased risk of depression with late spring birth is compatible with increased odds of probable single episode-, probable recurrent-, and diagnosed depression (OR 2.85 95 %CI 1.6-5.08, OR 2.20 95 %CI 1.57-3.1, and OR 1.48 95 %CI 1.11-1.97, respectively) with increasing 3rd trimester relative photoperiod range for participants who experienced relatively non-extreme daily photoperiods. Risk of bipolar disorder with winter-spring birth contrasted with no consistent patterns of perinatal photoperiod metric associations with bipolar disorder in the UK Biobank. As natural photoperiod varies by both time-of-year and latitude, perinatal natural photoperiods (and a hypothesized mechanism of action via the circadian timing system and/or serotonergic circuitry associated with the dorsal raphe nucleus) may reconcile inconsistencies in season-of-birth associations. Further studies are warranted.
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Affiliation(s)
- Philip Lewis
- Institute and Policlinic for Occupational Medicie, Environmental Medicine, and Prevention Research, Medical Faculty and University Hospital of Cologne, University of Cologne, Cologne, Germany.
| | - John F Gottlieb
- Feinberg School of Medicine, Northwestern University, Chicago, IL USA
| | - Peter Morfeld
- Institute and Policlinic for Occupational Medicie, Environmental Medicine, and Prevention Research, Medical Faculty and University Hospital of Cologne, University of Cologne, Cologne, Germany
| | - Martin Hellmich
- Institute of Medical Statistics and Computational Biology, Medical Faculty and University Hospital of Cologne, University of Cologne, Cologne, Germany
| | - Thomas C Erren
- Institute and Policlinic for Occupational Medicie, Environmental Medicine, and Prevention Research, Medical Faculty and University Hospital of Cologne, University of Cologne, Cologne, Germany
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Davis GE, Davis MJ, Lowell WE. Triggering multiple sclerosis at conception and early gestation: The variation in ultraviolet radiation is as important as its intensity. Heliyon 2023; 9:e16954. [PMID: 37346332 PMCID: PMC10279836 DOI: 10.1016/j.heliyon.2023.e16954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2022] [Revised: 04/17/2023] [Accepted: 06/01/2023] [Indexed: 06/23/2023] Open
Abstract
Background and objectives Medical science needs to further elucidate the role of ultraviolet radiation (UVR), geographic latitude, and the role of vitamin D in the autoimmune disease multiple sclerosis (MS). We separated several papers into categories out of the thousands published and used their conclusions to explore the relationship between UVR and MS. Relevance MS is increasing in incidence, particularly in women where MS is two to three times that in men and particularly severe in African Americans. Methods We collected UVR data at our observatory in Central Maine and calculated the average coefficient of variation (CVUVR) for each month for 15 years (2007-2021, inclusive). Results The month of conception (MOC) is more important than the month of birth (MOB) in explaining how UVR triggers the variable genetic predisposition to MS. We hypothesize that the rapidly increasing CVUVR is important in preventing an increase in the activity of the vitamin D receptor (VDR) from August to December, which then requires a higher intensity of UVR later in life to suppress the immune system, therefore predisposing to more MS. Limitations One observatory at about 44° latitude. Conclusions While variation in UVR is important at the MOC if UVR exceeds a threshold (e.g., if the sunspot number equals or is greater than 90, usually at a solar cycle MAX, or at elevations above approximately 3,000 feet above sea level), the MS mitigating vitamin D-VDR mechanism is overwhelmed and the genotoxic effects of higher-intensity UVR promote MS in those with a genetic predisposition. What is new in this research This paper offers a new concept in MS research.
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Affiliation(s)
- George E. Davis
- Riverview Psychiatric Center, 250 Arsenal Street, State House Station #11, Augusta, ME, 04333-0011, USA
| | - Matthew J. Davis
- Riverview Psychiatric Center, 250 Arsenal Street, State House Station #11, Augusta, ME, 04333-0011, USA
| | - Walter E. Lowell
- Riverview Psychiatric Center, 250 Arsenal Street, State House Station #11, Augusta, ME, 04333-0011, USA
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Zhou H, Peng-Li D, Chen J, Sun D, Wan B. Early life climate and adulthood mental health: how birth seasonality influences depressive symptoms in adults. BMC Public Health 2023; 23:209. [PMID: 36721129 PMCID: PMC9887737 DOI: 10.1186/s12889-023-15145-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2021] [Revised: 12/11/2022] [Accepted: 01/27/2023] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND Early life in-utero can have long-term influence on the mental health status of individuals in adulthood, such as depression. Age, gender, socio-economic status, education, and geography are demographic factors shown to be particularly vulnerable towards the development of depressive symptoms. In addition, climate risks on depression include sunlight, rain, and temperature. However, whether climate factors in early life have a long-term influence on depression related to demographic vulnerability remains unknown. Here, the present study explored the association between birth seasonality and adulthood depressive symptoms. METHODS We employed data from the project of Chinese Labour-forces Dynamic Survey (CLDS) 2016, containing the epidemiological data of depressive symptoms with a probability proportional to size cluster and random cluster sampling method in 29 provinces of China. A final sample size of 16,185 participants was included. Birth seasonality included spring (March, April, and May), summer (June, July, and August), autumn (September, October, and November), and winter (December, January, and February). RESULTS We found that born in Autumn peaked lowest rate of having depressive symptoms (16.8%) and born in Summer (vs. Autumn) had a significant higher ratio (OR = 1.14, 95%CI = 1.02, 1.29) when controlling for demographic variables. In addition, demographic odds ratio of having depressive symptoms differed between people born in different seasons, particular for age and geography. CONCLUSION Our findings suggest that birth seasonality influences the sensitive link of depressive symptoms with age and geography. It implicates early life climate environment may play a role in the development of adulthood depressive symptoms.
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Affiliation(s)
- Hao Zhou
- grid.416271.70000 0004 0639 0580Stem Cell Transplantation Laboratory, Ningbo First Hospital, Ningbo, China
| | - Danni Peng-Li
- grid.9227.e0000000119573309Institute of Psychology, Chinese Academy of Sciences, Beijing, China ,grid.410726.60000 0004 1797 8419Sino-Danish College (SDC), University of Chinese Academy of Sciences, Beijing, China ,grid.7048.b0000 0001 1956 2722Department of Food Science, Aarhus University, Aarhus, Denmark
| | - Juan Chen
- grid.43169.390000 0001 0599 1243Department of Occupational and Environmental Health, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China ,grid.11135.370000 0001 2256 9319School of Public Health, Peking University, Beijing, China
| | - Dong Sun
- grid.12981.330000 0001 2360 039XSchool of Public Health, Sun Yat-sen University, Guangzhou, China ,grid.11135.370000 0001 2256 9319School of Public Health, Peking University, Beijing, China
| | - Bin Wan
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany. .,International Max Planck Research School on Neuroscience of Communication: Function, Structure, and Plasticity (IMPRS NeuroCom), Leipzig, Germany. .,School of Public Health, Sun Yat-sen University, Guangzhou, China.
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Wang MQ, Wang RR, Hao Y, Xiong WF, Han L, Qiao DD, He J. Clinical characteristics and sociodemographic features of psychotic major depression. Ann Gen Psychiatry 2021; 20:24. [PMID: 33771161 PMCID: PMC8004453 DOI: 10.1186/s12991-021-00341-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Accepted: 03/07/2021] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND Psychotic major depression (PMD) is a subtype of depression with a poor prognosis. Previous studies have failed to find many differences between patients with PMD and those with non-psychotic major depression (NMD) or schizophrenia (SZ). We compared sociodemographic factors (including season of conception) and clinical characteristics between patients with PMD, NMD, and schizophrenia. Our aim was to provide data to help inform clinical diagnoses and future etiology research. METHODS This study used data of all patients admitted to Shandong Mental Health Center from June 1, 2016 to December 31, 2017. We analyzed cases who had experienced an episode of PMD (International Classification of Diseases, Tenth Revision codes F32.3, F33.3), NMD (F32.0-2/9, F33.0-2/9), and SZ (F20-20.9). Data on sex, main discharge diagnosis, date of birth, ethnicity, family history of psychiatric diseases, marital status, age at first onset, education, allergy history, and presence of trigger events were collected. Odds ratios (OR) were calculated using logistic regression analyses. Missing values were filled using the k-nearest neighbor method. RESULTS PMD patients were more likely to have a family history of psychiatric diseases in their first-, second-, and third-degree relatives ([OR] 1.701, 95% confidence interval [CI] 1.019-2.804) and to have obtained a higher level of education (OR 1.451, 95% CI 1.168-1.808) compared with depression patients without psychotic features. Compared to PMD patients, schizophrenia patients had lower education (OR 0.604, 95% CI 0.492-0.741), were more often divorced (OR 3.087, 95% CI 1.168-10.096), had a younger age of onset (OR 0.934, 95% CI 0.914-0.954), less likely to have a history of allergies (OR 0.604, 95% CI 0.492-0.741), and less likely to have experienced a trigger event 1 year before first onset (OR 0.420, 95% CI 0.267-0.661). Season of conception, ethnicity, and sex did not differ significantly between PMD and NMD or schizophrenia and PMD. CONCLUSIONS PMD patients have more similarities with NMD patients than SZ patients in terms of demographic and clinical characteristics. The differences found between PMD and SZ, and PMD and NMD correlated with specificity of the diseases. Furthermore, allergy history should be considered in future epidemiological studies of psychotic disorders.
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Affiliation(s)
- Meng-Qi Wang
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, No 11, Bei San Huan East Road, Chaoyang District, Beijing, 100029, China
| | - Ran-Ran Wang
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, No 11, Bei San Huan East Road, Chaoyang District, Beijing, 100029, China
| | - Yu Hao
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, No 11, Bei San Huan East Road, Chaoyang District, Beijing, 100029, China
| | - Wei-Feng Xiong
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, No 11, Bei San Huan East Road, Chaoyang District, Beijing, 100029, China
| | - Ling Han
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, No 11, Bei San Huan East Road, Chaoyang District, Beijing, 100029, China
| | - Dong-Dong Qiao
- Shandong Provincial Mental Health Hospital, No 49, Wenhua East Road, Jinan, 250014, Shandong, China.
| | - Juan He
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, No 11, Bei San Huan East Road, Chaoyang District, Beijing, 100029, China.
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Devore EE, Chang SC, Okereke OI, McMahon DG, Schernhammer ES. Photoperiod during maternal pregnancy and lifetime depression in offspring. J Psychiatr Res 2018; 104:169-175. [PMID: 30092556 PMCID: PMC6104842 DOI: 10.1016/j.jpsychires.2018.08.004] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2018] [Revised: 07/09/2018] [Accepted: 08/02/2018] [Indexed: 12/18/2022]
Abstract
Experimental studies indicate that perinatal light exposure has enduring effects on affective behaviors in rodents; however, insufficient research has explored this hypothesis in humans. We examined photoperiod (i.e., day length) metrics during maternal pregnancy in relation to lifetime depression in the longitudinal Nurses' Health Study (NHS) and NHS II. 160,723 participants reported birth date and birth state (used to derive daily photoperiod based on published mathematical equations), and clinician-diagnosed depression and antidepressant use throughout adulthood. Logistic regression was used to estimate odds ratios (OR) (and 95% confidence intervals [CI]) for depression (defined as clinician diagnosis and antidepressant use) across quintiles of two exposures during maternal pregnancy: 1) total photoperiod (total number of daylight hours) and 2) differences between minimum/maximum photoperiod; each trimester of pregnancy was examined separately. Total photoperiod during maternal pregnancy was not associated with depression overall or by trimester of pregnancy. However, larger differences between minimum/maximum photoperiod during maternal pregnancy were related to lower odds of depression (multivariable [MV]-adjusted OR: 0.86, 95% CI: 0.83, 0.90 comparing extreme quintiles of exposure; p-trend<0.0001); this association appeared specific to the second trimester of pregnancy (MV-adjusted p-trends = 0.03, <0.0001, and 0.3 across the three trimesters, respectively). In addition, birth at higher latitude (where larger differences in minimum/maximum photoperiod exist) was associated with a significant reduction in the lifetime risk of depression. These findings are consistent with an emerging hypothesis in which perinatal light exposure may influence risk of depression, and they might be understood through the conceptual framework of adaptive developmental plasticity.
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Affiliation(s)
- Elizabeth E Devore
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 181 Longwood Avenue, Boston, MA, 02115, USA.
| | - Shun-Chiao Chang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 181 Longwood Avenue, Boston, MA, 02115, USA
| | - Olivia I Okereke
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 181 Longwood Avenue, Boston, MA, 02115, USA; Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, 55 Fruit Street, Boston, MA, 02144, USA; Department of Epidemiology, Harvard School of Public Health, 677 Huntington Avenue, Boston, MA, 02115, USA
| | - Douglas G McMahon
- Department of Biological Sciences, Vanderbilt University, Box 351634 Station B, Nashville, TN, 37235-1634, USA; Neuroscience Graduate Program, Vanderbilt University, 465 21st Avenue South, Nashville, TN, USA
| | - Eva S Schernhammer
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 181 Longwood Avenue, Boston, MA, 02115, USA; Department of Epidemiology, Harvard School of Public Health, 677 Huntington Avenue, Boston, MA, 02115, USA; Department of Epidemiology, Center for Public Health, Medical University of Vienna, Kinderspitalgasse 15/ 1. Stock, 1090, Vienna, Austria
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