1
|
Roystonn K, Koh YS, Shafie S, Sambasivam R, Vaingankar JA, Chong SA, Subramaniam M. Understanding Major Depressive Disorder in Singapore: Insights from the second Singapore Mental Health Study (SMHS 2016). J Affect Disord 2024; 364:295-304. [PMID: 39142576 DOI: 10.1016/j.jad.2024.08.046] [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: 03/16/2024] [Revised: 07/21/2024] [Accepted: 08/11/2024] [Indexed: 08/16/2024]
Abstract
BACKGROUND Major Depressive Disorder (MDD) poses significant public health challenges globally and in Southeast Asia, with substantial impairment and disease burden. Understanding its prevalence and associated risk factors is crucial for effective intervention. METHODS This study aims to describe the prevalence shifts, correlates, and comorbidities of MDD in Singapore. Data were collected from the second Singapore Mental Health Study (SMHS 2016), a national cross-sectional survey comprising 6126 adult residents. The WHO Composite International Diagnostic Interview assessed MDD and comorbidities. Statistical analyses, including logistic regression, were conducted to examine the associations and trends. RESULTS The lifetime weighted prevalence of MDD in SMHS 2016 was 6.2 %, with an overall increase from 5.8 % in 2010. Significant associations were found between MDD and age, marital status, and comorbid physical disorders. Young adults and divorced/separated individuals exhibited higher MDD prevalence. Chronic pain was significantly associated with MDD. LIMITATIONS The study's cross-sectional design limits causal inference, and selective non-response might affect prevalence estimates. However, the study benefits from a large, nationally representative sample and standardized methodologies. CONCLUSIONS Young and middle-aged adults, and divorced/separated individuals demonstrate elevated MDD prevalence, warranting targeted interventions. Individuals with comorbidities, particularly chronic pain, constitute a high-risk and vulnerable population. Comprehensive assessment and treatment plans should involve multidisciplinary teams and integrated care approaches to better address the complex needs of these individuals. Our study also highlights specific interventions for schools, families, communities, and workplaces. Despite Singapore's relatively low prevalence compared to Western nations, MDD remains cross-culturally valid emphasizing the need for early intervention and preventive public health measures.
Collapse
Affiliation(s)
| | - Yen Sin Koh
- Research Division, Institute of Mental Health, Singapore
| | - Saleha Shafie
- Research Division, Institute of Mental Health, Singapore
| | | | | | - Siow Ann Chong
- Research Division, Institute of Mental Health, Singapore
| | - Mythily Subramaniam
- Research Division, Institute of Mental Health, Singapore; Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| |
Collapse
|
2
|
Guo Y, Liu Y, Zhang T, Ruan J, Liu S, Ren Z. Intrinsic disruption of white matter microarchitecture in major depressive disorder: A voxel-based meta analysis of diffusion tensor imaging. J Affect Disord 2024; 363:161-173. [PMID: 39032713 DOI: 10.1016/j.jad.2024.07.050] [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: 12/12/2023] [Revised: 06/17/2024] [Accepted: 07/12/2024] [Indexed: 07/23/2024]
Abstract
BACKGROUND Major depressive disorder (MDD) is a prevalent and disabling mood disorder, thought to be linked with brain white matter (WM) alterations. Prior diffusion tensor imaging (DTI) studies have reported inconsistent changes in fractional anisotropy (FA) across different brain regions in MDD patients. However, none of these studies utilized raw t-map data for WM meta-analysis in MDD. Our study aims to address this gap by conducting a whole-brain-based meta-analysis of FA in MDD using Seed-based d mapping via permutation of subject images (SDM-PSI), combining reported peak coordinates and raw statistical parametric maps. OBJECTIVES Following PRISMA guidelines, we performed a systematic search and meta-analysis to compare FA in MDD patients with healthy controls (HC). Our goal was to identify WM abnormalities in MDD, using SDM, which could shed light on the disorder's pathogenesis. RESULTS The meta-analysis included 39 studies with 3696 participants (2094 with MDD, 1602HC). It revealed that MDD patients, in comparison to HC, have lower FA in the corpus callosum (CC) and anterior thalamic projections (ATP). Subgroup analyses indicated that the CC is a more stable pathogenic factor in MDD. Meta-regression analyses showed no linear correlation between the mean age, percentage of female patients, duration of depression, and FA abnormalities. This suggests that WM impairments in interhemispheric connections and anterior thalamocortical circuits are significant in the pathogenesis of MDD.
Collapse
Affiliation(s)
- Yunxiao Guo
- Key Laboratory of Adolescent Cyberpsychology and Behavior (Ministry of Education), School of Psychology, Central China Normal University, Wuhan, China; Key Laboratory of Human Development and Mental Health of Hubei Province, National Intelligent Society Governance Experiment Base (Education), School of Psychology, Central China Normal University, Wuhan, China
| | - Yinong Liu
- Key Laboratory of Adolescent Cyberpsychology and Behavior (Ministry of Education), School of Psychology, Central China Normal University, Wuhan, China; Key Laboratory of Human Development and Mental Health of Hubei Province, National Intelligent Society Governance Experiment Base (Education), School of Psychology, Central China Normal University, Wuhan, China
| | - Tao Zhang
- Key Laboratory of Adolescent Cyberpsychology and Behavior (Ministry of Education), School of Psychology, Central China Normal University, Wuhan, China; Key Laboratory of Human Development and Mental Health of Hubei Province, National Intelligent Society Governance Experiment Base (Education), School of Psychology, Central China Normal University, Wuhan, China
| | - Jun Ruan
- Key Laboratory of Adolescent Cyberpsychology and Behavior (Ministry of Education), School of Psychology, Central China Normal University, Wuhan, China; Key Laboratory of Human Development and Mental Health of Hubei Province, National Intelligent Society Governance Experiment Base (Education), School of Psychology, Central China Normal University, Wuhan, China
| | - Sijun Liu
- Key Laboratory of Adolescent Cyberpsychology and Behavior (Ministry of Education), School of Psychology, Central China Normal University, Wuhan, China; Key Laboratory of Human Development and Mental Health of Hubei Province, National Intelligent Society Governance Experiment Base (Education), School of Psychology, Central China Normal University, Wuhan, China
| | - Zhihong Ren
- Key Laboratory of Adolescent Cyberpsychology and Behavior (Ministry of Education), School of Psychology, Central China Normal University, Wuhan, China; Key Laboratory of Human Development and Mental Health of Hubei Province, National Intelligent Society Governance Experiment Base (Education), School of Psychology, Central China Normal University, Wuhan, China.
| |
Collapse
|
3
|
Bruffaerts R, Caywood K, Axinn WG. Early-life risk factors for depression among young adults in the United States general population: Attributable risks and gender differences. J Affect Disord 2024; 363:206-213. [PMID: 39025438 DOI: 10.1016/j.jad.2024.07.090] [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: 04/24/2024] [Revised: 07/11/2024] [Accepted: 07/14/2024] [Indexed: 07/20/2024]
Abstract
BACKGROUND This study adopts individual and societal-level approaches to examine the contribution of childhood risk factors to major depressive episodes (MDE) in 2526 American young adults. METHODS Nationally representative data from the 2017 U.S. Panel Study of Income Dynamics - Transition into Adulthood Supplement (PSID-TAS) were analyzed using multivariate methods to assess the impact of parental mental illness, childhood adversities, childhood mental disorders, and childhood physical conditions. Adjusted odds ratios and population attributable risk proportions (PARPs) are calculated to estimate the proportion of MDE cases related to risk factors. RESULTS The 12-month prevalence of positive screens for MDE was 25.4 %. Approximately 34 % of these were attributable to childhood mental disorders, 24 % to childhood physical conditions, 21 % to childhood adversities, and 16 % to parental mental illness. Childhood and parental depression were critical risk factors, both at the individual (odds ratio exceeding 2) and societal (PARP approximately 24 %) levels. Gender-specific risk factors were identified, with childhood physical abuse and childhood anxiety disorders constituting risk factors for females, and childhood externalizing disorders and childhood headaches as risk factors for males. Approximately 60 % of U.S. young adult MDE cases are attributable to risk factors before age 18. LIMITATIONS Possible over reporting of MDE may have biased the associations between predictors and depression. CONCLUSIONS Exposure to depression at a young age-one's own or parental depression-is a robust risk factor for both genders. Policies and interventions focused at alleviating the societal burden of depression should value its generational transmission.
Collapse
Affiliation(s)
- Ronny Bruffaerts
- Center for Public Health Psychiatry, Universitair Psychiatrisch Centrum-KU Leuven, Leuven, Belgium
| | - Kelsi Caywood
- Department of Sociology, Population Studies Center and Survey Research Center, University of Michigan, Ann Arbor, MI, United States of America
| | - William G Axinn
- Department of Sociology, Population Studies Center and Survey Research Center, University of Michigan, Ann Arbor, MI, United States of America.
| |
Collapse
|
4
|
Wang C, Wang X, Wang J, Li X, Lu D, Guo F, Yao Y, Zhu J, Shen C, Xie Q, Mao H, Zhang P, Yang X, Wu H, Lv Q, Yi Z. Prevalence and clinical correlates of benzodiazepine use in the patients with major depressive disorder. J Affect Disord 2024; 363:619-625. [PMID: 39043307 DOI: 10.1016/j.jad.2024.07.142] [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: 04/29/2024] [Revised: 07/09/2024] [Accepted: 07/17/2024] [Indexed: 07/25/2024]
Abstract
BACKGROUND Major depressive disorder (MDD) is a serious and disabling condition characterized by abnormal mood changes. Clinical guidelines for depression treatment recommend antidepressant medications, with benzodiazepines acting as short-term synergists. However, little is currently known about the prevalence and associated clinical risk factors of benzodiazepine use among Chinese patients with MDD. This study aimed to explore the prevalence and clinical risk factors associated with benzodiazepine use in this population. METHODS A total of 2742 patients with MDD (males/females = 816/1926, aged 14-60 years) participated in this cross-sectional observational study. General information and psychosis assessments were collected online. Depressive symptoms were assessed using the Patient Health Questionnaire-9 (PHQ-9), anxiety symptoms using the Generalized Anxiety Disorder-7 (GAD-7), and sleep problems and suicidal tendencies using the third and ninth items of the PHQ-9. Multivariable logistic regression analysis models were employed to identify factors associated with benzodiazepine use. RESULTS The prevalence of benzodiazepine use among patients with MDD was 42.9 %. Among these patients, 99.6 % used a single benzodiazepine, with oxazepam being the most frequently prescribed. Age, severity of sleep problems, depressive symptoms, and anxiety symptoms were significantly correlated with benzodiazepine use (all P < 0.001). LIMITATIONS The cross-sectional design of this study precludes establishing causal relationships. CONCLUSION Our findings indicate a high prevalence of benzodiazepine use among Chinese patients with MDD. Factors such as severe depressive symptoms, anxiety symptoms, age, and sleep problems appear to be associated with benzodiazepine use. These results underscore the importance of vigilance regarding benzodiazepine use in patients with MDD.
Collapse
Affiliation(s)
- Chongze Wang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Xiaoxiao Wang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; Department of Psychiatry, Huashan Hospital, Fudan University, School of Medicine, No. 12 Wulumuqi Road (middle), Shanghai 200040, China
| | - Jinde Wang
- Shanghai Fengxian District Mental Health Center, Shanghai 201418, China
| | - Xin Li
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; Department of Psychiatry, Huashan Hospital, Fudan University, School of Medicine, No. 12 Wulumuqi Road (middle), Shanghai 200040, China
| | - Daofeng Lu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; Department of Psychiatry, Huashan Hospital, Fudan University, School of Medicine, No. 12 Wulumuqi Road (middle), Shanghai 200040, China
| | - Fang Guo
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; Department of Psychiatry, Huashan Hospital, Fudan University, School of Medicine, No. 12 Wulumuqi Road (middle), Shanghai 200040, China
| | - Yuan Yao
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; Department of Psychiatry, Huashan Hospital, Fudan University, School of Medicine, No. 12 Wulumuqi Road (middle), Shanghai 200040, China
| | - Jiayu Zhu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; Department of Psychiatry, Huashan Hospital, Fudan University, School of Medicine, No. 12 Wulumuqi Road (middle), Shanghai 200040, China
| | - Chengjia Shen
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; Department of Psychiatry, Huashan Hospital, Fudan University, School of Medicine, No. 12 Wulumuqi Road (middle), Shanghai 200040, China
| | - Qingfang Xie
- Shanghai Baoshan District Mental Health Center, Shanghai 201900, China
| | - Haiying Mao
- Shanghai Baoshan District Mental Health Center, Shanghai 201900, China
| | - Peiyun Zhang
- Nantong Fourth People's Hospital, Nantong 226005, Jiangsu, China
| | - Xiaolong Yang
- Taicang Third People's Hospital, Taicang 215488, Jiangsu, China
| | - Haisu Wu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China.
| | - Qinyu Lv
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; Department of Psychiatry, Huashan Hospital, Fudan University, School of Medicine, No. 12 Wulumuqi Road (middle), Shanghai 200040, China.
| | - Zhenghui Yi
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China; Department of Psychiatry, Huashan Hospital, Fudan University, School of Medicine, No. 12 Wulumuqi Road (middle), Shanghai 200040, China; Institute of Mental Health, Fudan University, Shanghai 200040, China.
| |
Collapse
|
5
|
Jamet C, Dubertret C, Le Strat Y, Tebeka S. Age of onset of major depressive episode and association with lifetime psychiatric disorders, health-related quality of life and impact of gender: A cross sectional and retrospective cohort study. J Affect Disord 2024; 363:300-309. [PMID: 39004313 DOI: 10.1016/j.jad.2024.07.017] [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: 03/14/2024] [Revised: 06/07/2024] [Accepted: 07/11/2024] [Indexed: 07/16/2024]
Abstract
OBJECTIVE To assess the long-term impact of the age of onset (AOO) of the first major depressive episode (MDE) according to 3 age groups and considering gender. METHODS Data were extracted from NESARC III, a representative U.S. SAMPLE We included 8053 participants with an MDE history in a cross-sectional and retrospective cohort study. We defined 3 AOO groups: childhood-onset (< 13 yo), adolescence-onset (13-18 yo), and adult-onset (> 18 yo). We compared sociodemographic characteristics, lifetime psychiatric disorders per DSM-5 criteria, and health-related quality of life (HRQOL) in each group and performed gender-stratified analyses. RESULTS Prevalence of childhood-onset MDE was 10.03 %, adolescence-onset was 14.12 %, and adult-onset was 75.85 %. Suicide attempts (AOR = 3.61; 95 % CI 2.90-4.50), anxiety disorders (AOR = 1.92; 95 % CI 1.62-2.27), and personality disorders (AOR = 3.08; 95 % CI 2.56-3.71) were more frequent in the childhood-onset than in the adult-onset one. Adolescence-onset group showed similar results. Physical Disability scale (p < 0.001) and Mental Disability scale (p < 0.001) were significantly lower in the childhood-onset group. Results were more nuanced in the adolescence-onset group. Women in childhood-onset and adolescence-onset groups had poorer outcomes than the adult-onset group. Differences were less pronounced in men. LIMITATIONS Recall and classification biases inherent to survey design. CONCLUSION Individuals, particularly women, who experienced their first MDE during childhood or adolescence exhibit higher lifetime psychiatric disorder prevalence and poorer HRQOL than those with adult-onset MDE. These findings highlight the importance of preventive measures, early diagnosis, and treatment of youth depression.
Collapse
Affiliation(s)
- Camille Jamet
- Department of Psychiatry, Louis-Mourier Hospital, AP-HP, 92700 Colombes, France; Université Paris Cité, Faculty of Medicine, Paris, France
| | - Caroline Dubertret
- Department of Psychiatry, Louis-Mourier Hospital, AP-HP, 92700 Colombes, France; Université Paris Cité, Faculty of Medicine, Paris, France; INSERM U1266, Centre for Psychiatry and Neurosciences, 102 rue de la Santé, 75014 Paris, France
| | - Yann Le Strat
- Department of Psychiatry, Louis-Mourier Hospital, AP-HP, 92700 Colombes, France; Université Paris Cité, Faculty of Medicine, Paris, France; INSERM U1266, Centre for Psychiatry and Neurosciences, 102 rue de la Santé, 75014 Paris, France
| | - Sarah Tebeka
- Department of Psychiatry, Louis-Mourier Hospital, AP-HP, 92700 Colombes, France; Université Paris Cité, Faculty of Medicine, Paris, France; INSERM U1266, Centre for Psychiatry and Neurosciences, 102 rue de la Santé, 75014 Paris, France.
| |
Collapse
|
6
|
Fujii C, Zorumski CF, Izumi Y. Endoplasmic reticulum stress, autophagy, neuroinflammation, and sigma 1 receptors as contributors to depression and its treatment. Neural Regen Res 2024; 19:2202-2211. [PMID: 38488553 PMCID: PMC11034583 DOI: 10.4103/1673-5374.391334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 11/02/2023] [Accepted: 11/24/2023] [Indexed: 04/24/2024] Open
Abstract
The etiological factors contributing to depression and other neuropsychiatric disorders are largely undefined. Endoplasmic reticulum stress pathways and autophagy are well-defined mechanisms that play critical functions in recognizing and resolving cellular stress and are possible targets for the pathophysiology and treatment of psychiatric and neurologic illnesses. An increasing number of studies indicate the involvement of endoplasmic reticulum stress and autophagy in the control of neuroinflammation, a contributing factor to multiple neuropsychiatric illnesses. Initial inflammatory triggers induce endoplasmic reticulum stress, leading to neuroinflammatory responses. Subsequently, induction of autophagy by neurosteroids and other signaling pathways that converge on autophagy induction are thought to participate in resolving neuroinflammation. The aim of this review is to summarize our current understanding of the molecular mechanisms governing the induction of endoplasmic reticulum stress, autophagy, and neuroinflammation in the central nervous system. Studies focused on innate immune factors, including neurosteroids with anti-inflammatory roles will be reviewed. In the context of depression, animal models that led to our current understanding of molecular mechanisms underlying depression will be highlighted, including the roles of sigma 1 receptors and pharmacological agents that dampen endoplasmic reticulum stress and associated neuroinflammation.
Collapse
Affiliation(s)
- Chika Fujii
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Charles F. Zorumski
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- Taylor Family Institute for Innovative Psychiatric Research, Washington University School of Medicine, St. Louis, MO, USA
| | - Yukitoshi Izumi
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- Taylor Family Institute for Innovative Psychiatric Research, Washington University School of Medicine, St. Louis, MO, USA
| |
Collapse
|
7
|
Wang B, Xiong Y, Li R, Zhang S. Depression increases the risk of gallstone: A cross-sectional study and Mendelian randomization analysis. J Affect Disord 2024; 362:606-614. [PMID: 39029662 DOI: 10.1016/j.jad.2024.07.119] [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: 02/01/2024] [Revised: 06/28/2024] [Accepted: 07/16/2024] [Indexed: 07/21/2024]
Abstract
BACKGROUND Gallstone, a common digestive disorder, poses a significant public health burden. Concurrently, depression is acknowledged as a health risk. However, limited information exists on depression's impact on gallstone formation. This study investigates depression's causal effect on gallstone risk. METHODS Using National Health and Nutrition Examination Survey (NHANES) data, we conducted an observational study. The severity of depression was assessed using the Patient Health Questionnaire-9 (PHQ-9). Multivariable logistic regression and subgroup analyses explored the correlation between depression and gallstone risk. Mendelian Randomization (MR) analysis, leveraging Genome-Wide Association Studies (GWAS) data, reduced observational bias and elucidated causality. Inverse Variance Weighting (IVW) was the primary method, with sensitivity analyses validating results. RESULTS In the observational study (7707 participants), gallstone risk was elevated in mild (OR: 1.58, 95 % CI 1.31-1.90, P < 0.001), moderate (OR: 2.07, 95 % CI 1.59-2.67, P < 0.001), and severe (OR: 2.41, 95 % CI 1.70-3.34, P < 0.001) depression groups (P for trend <0.001). Subgroup analyses revealed a stronger association in those under 65, females, non-Hispanic Black, individuals with obesity, smokers, and those with college education or higher. Mendelian Randomization indicated a causal link between genetically predicted depression and higher cholelithiasis risk (OR: 2.06, 95 % CI 1.34-3.17, P = 0.001), validated through sensitivity analyses and multi-cohort verification. CONCLUSION Depression independently increases gallstone risk, particularly in those under 65, females, non-Hispanic Black, individuals with obesity, smokers, and those with college education or higher. Further validation is needed through multi-center, prospective cohort studies.
Collapse
Affiliation(s)
- Bo Wang
- Department of Geriatric Digestive Surgery, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Yongqiang Xiong
- Department of Geriatric Digestive Surgery, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Ren Li
- Department of Geriatric Digestive Surgery, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Shu Zhang
- Department of Geriatric Digestive Surgery, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China; Experimental Teaching Center for Clinical Skills, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
| |
Collapse
|
8
|
Xu YH, Wu F, Yu S, Guo YN, Zhao RR, Zhang RL. Therapeutic sleep deprivation for major depressive disorder: A randomized controlled trial. J Affect Disord 2024; 361:10-16. [PMID: 38844163 DOI: 10.1016/j.jad.2024.06.005] [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: 10/11/2023] [Revised: 04/01/2024] [Accepted: 06/02/2024] [Indexed: 06/10/2024]
Abstract
BACKGROUND Major depressive disorder (MDD) is treated primarily using antidepressant drugs, but clinical effects may be delayed for weeks to months. This study investigated the efficacy of brief therapeutic sleep deprivation (TSD) for inducing rapid improvements in MDD symptoms. METHODS From November 2020 to February 2023, 54 inpatients with MDD were randomly allocated to TSD and Control groups. The TSD group (23 cases) remained awake for 36 h, while the Control group (31 cases) maintained regular sleep patterns. All participants continued regular drug therapy. Mood was assessed using the 24-item Hamilton Depression Scale (HAMD-24) at baseline and post-intervention in both groups. In the TSD group, the Visual Analogue Scale (VAS) was utilized to evaluate subjective mood during and after the intervention. Cognitive function was assessed at baseline and post-intervention using the Montreal Cognitive Assessment (MoCA). Objective sleep parameters were recorded in the TSD group by polysomnography. The follow-up period spanned one week. RESULTS HAMD-24 scores did not differ between groups at baseline or post-intervention. However, the clinical response rate was 34.8 % higher in the TSD group on day 3 post-intervention compared to the Control group (3.2 %), but not sustained by day 7. Moreover, responders demonstrated a faster improvement in the VAS score during TSD than non-responders (p = 0.047). There were no significant differences in MoCA scores or objective sleep parameters between the groups. LIMITATIONS Small sample size and notable attrition rate. CONCLUSIONS Therapeutic sleep deprivation can rapidly improve MDD symptoms without influencing sleep parameters or cognitive functions. Assessment of longer-term effects and identification of factors predictive of TSD response are warranted.
Collapse
Affiliation(s)
- Ya-Hui Xu
- Department of Sleep Medicine, Second Affiliated Hospital of Xinxiang Medical University; Henan Collaborative Innovation Center for Prevention and Treatment of Mental Disorders; Brain Institute, Henan Academy of Innovations in Medical Science, Xinxiang, China.
| | - Fang Wu
- Department of Sleep Medicine, Second Affiliated Hospital of Xinxiang Medical University; Henan Collaborative Innovation Center for Prevention and Treatment of Mental Disorders; Brain Institute, Henan Academy of Innovations in Medical Science, Xinxiang, China
| | - Shuai Yu
- Department of Sleep Medicine, Second Affiliated Hospital of Xinxiang Medical University; Henan Collaborative Innovation Center for Prevention and Treatment of Mental Disorders; Brain Institute, Henan Academy of Innovations in Medical Science, Xinxiang, China
| | - Ya-Nan Guo
- Department of Sleep Medicine, Second Affiliated Hospital of Xinxiang Medical University; Henan Collaborative Innovation Center for Prevention and Treatment of Mental Disorders; Brain Institute, Henan Academy of Innovations in Medical Science, Xinxiang, China
| | - Rong-Rong Zhao
- Psychiatry Department, First Affiliated Hospital of Henan University of Science and Technology, Luoyang, China
| | - Rui-Ling Zhang
- Department of Sleep Medicine, Second Affiliated Hospital of Xinxiang Medical University; Henan Collaborative Innovation Center for Prevention and Treatment of Mental Disorders; Brain Institute, Henan Academy of Innovations in Medical Science, Xinxiang, China
| |
Collapse
|
9
|
Pellegrino R, Gravina AG. Depression weights in patients with gastric cancer: Bibliometric analysis as a weapon to chart the future of research. World J Gastroenterol 2024; 30:3846-3849. [DOI: 10.3748/wjg.v30.i33.3846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Revised: 07/05/2024] [Accepted: 07/29/2024] [Indexed: 09/02/2024] Open
Abstract
Bibliometric analyses are increasing in the field of gastric cancer. This letter discusses a recently published analysis that focused on the bidirectional relationship between depression and gastric cancer and evaluated the types of papers published in this field and the changes in the direction of research. There is an increasing need for new, clinically relevant studies of this association.
Collapse
Affiliation(s)
- Raffaele Pellegrino
- Division of Hepatogastroenterology, Department of Precision Medicine, University of Campania Luigi Vanvitelli, Naples 80138, Italy
| | - Antonietta Gerarda Gravina
- Division of Hepatogastroenterology, Department of Precision Medicine, University of Campania Luigi Vanvitelli, Naples 80138, Italy
| |
Collapse
|
10
|
Guo X, Le Y. The triangular relationship of physical activity, depression, and inflammatory markers: A large cross-sectional analysis with NHANES data. J Affect Disord 2024:S0165-0327(24)01486-1. [PMID: 39236891 DOI: 10.1016/j.jad.2024.09.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Revised: 09/01/2024] [Accepted: 09/02/2024] [Indexed: 09/07/2024]
Abstract
Depression is a major public health problem worldwide and is closely related with systemic inflammatory responses. Additionly, physical activity (PA) is thought to be associated with lower levels of depression and inflammatory markers. This study aimed to elucidate the complex interactions between PA, depression, and inflammatory markers. Based on the National Health and Nutrition Examination Survey (NHANES), various logistic regression were applied to analyze the pairwise correlations among the three. Restrictive cubic splines were constructed to explore the nonlinear relationship between PA and depression. Mediation models were used to identify the mediating role of inflammatory markers. The findings revealed a positive link between depression and inflammatory marker, whereas PA was inversely correlated with both inflammatory marker and depression. Particularly, we noticed the greatest reduction in the risk of depression when the level of PA was between 1200 and 1722 MET-min/week. Besides, we demonstrated that inflammatory markers mediate the potential effects of physical inactivity on depression, ranging from 1.72 % to 6.25 %. In conclusion, PA appear to protect against depression, in which inflammatory markers may play a mediating role. Moreover, we determined the optimal dosage of PA to minimize the likelihood of depression, thereby offering valuable guidance for managing depression.
Collapse
Affiliation(s)
- Xinrong Guo
- Department of Anesthesiology, The Third Xiangya Hospital, Central South University, No.138, Tongzipo Road, Yuelu District, Changsha, Hunan, China
| | - Yuan Le
- Department of Anesthesiology, The Third Xiangya Hospital, Central South University, No.138, Tongzipo Road, Yuelu District, Changsha, Hunan, China.
| |
Collapse
|
11
|
Huber BN, Fulton EK, Gray D. Meta-prospective memory accuracy in young adults with and without depressive symptoms. APPLIED NEUROPSYCHOLOGY. ADULT 2024; 31:754-765. [PMID: 35531892 DOI: 10.1080/23279095.2022.2068372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Prospective memory (PM) is the ability to remember an intention in the future. Individuals with depression are candidates for PM failures, resulting in detrimental consequences, such as forgetting to take a medication or implement therapeutic techniques; inaccurate assessments of one's PM abilities can exacerbate these issues. The current study examined if appraisals about one's prospective memory (meta-PM) performance differs between healthy and depressed adults. Data were gathered from 137 adults and included self-reported depression, PM beliefs, objective PM, and assessment of executive functions (EFs). Participants were separated into depressed/healthy categories based on a self-report measure. There was a non-significant correlation between self-reported PM and objective PM for both depressed (r = .06, p = .61) and healthy (r = .08, p = .52) groups, suggesting both groups had inaccurate meta-PM. There were non-significant differences in meta-PM between these groups (Fisher's Z = -0.09, p = .93), but exploratory gender analyses revealed women's meta-PM was significantly less accurate than men's. Women had higher reports of depression and PM complaints compared to men. This study lends evidence that depression is not necessarily related to worse meta-PM accuracy, despite depression's association with memory complaints, and that women are at greater risk for inaccurate meta-PM.
Collapse
Affiliation(s)
- Becca N Huber
- Department of Psychology, Idaho State University, Pocatello, ID, USA
| | - Erika K Fulton
- Department of Psychology, Idaho State University, Pocatello, ID, USA
| | - Daniel Gray
- Department of Psychology, Idaho State University, Pocatello, ID, USA
| |
Collapse
|
12
|
Perez N, He N, Wright F, Condon E, Weiser S, Aouizerat B. Social determinants of inflammatory markers linking depression and type 2 diabetes among women: A scoping review. J Psychosom Res 2024; 184:111831. [PMID: 38905780 DOI: 10.1016/j.jpsychores.2024.111831] [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: 03/14/2024] [Revised: 06/03/2024] [Accepted: 06/10/2024] [Indexed: 06/23/2024]
Abstract
OBJECTIVE Inflammation is implicated in the pathophysiology of depression and type 2 diabetes (T2D) and is linked to social determinants of health (SDoH) associated with socioeconomic disadvantage. The objective of this review is to identify and map the range of SDoHs associated with inflammation in depression, T2D, or their co-occurrence among women. METHODS PubMed, CINAHL, PsychINFO, and Web of Science were searched March-July 2023 to identify studies where 1) an SDoH was a predictor or independent variable, 2) depression or T2D was a clinical focus, 3) inflammatory markers were collected, and 4) analysis was specific to women. We used the National Institute on Minority Health and Health Disparities research framework to guide searching SDoHs, organize findings, and identify gaps. RESULTS Of the 1135 studies retrieved, 46 met criteria. Within the reviewed studies, the most used inflammatory measures were C-reactive protein, interleukin-6, and tumor necrosis factor-α, and the most studied SDoHs were early life stress and socioeconomic status. Individual and interpersonal-level variables comprised the bulk of SDoHs in the included studies, while few to no studies examined built environment (n = 6) or health system level (n = 0) factors. Disadvantageous SDoHs were associated with higher levels of inflammation across the included studies. CONCLUSION The scope and intersection of depression and T2D represent a syndemic that contributes to and results from socioeconomic inequities and disproportionately affects women. Simultaneous inclusion of social and inflammatory measures, particularly understudied SDoHs, is needed to clarify potent targets aimed at advancing health and equity.
Collapse
Affiliation(s)
- Nicole Perez
- New York University, Rory Meyers College of Nursing, 433 1(st) Ave, New York, NY 10010, USA.
| | - Ning He
- New York University, Silver School of Social Work, 1 Washington Squire North, New York, NY 10003, United States of America.
| | - Fay Wright
- Northwell Health Northern Westchester Hospital, 400 East Main Street, Mt Kisco, NY 10549, United States of America.
| | - Eileen Condon
- University of Connecticut, College of Nursing, 231 Glenbrook Rd, Storrs, CT 06269, United States of America.
| | - Sheri Weiser
- University of San Francisco, School of Medicine, 533 Parnassus Ave, San Francisco, CA 94143, United States of America.
| | - Brad Aouizerat
- New York University, College of Dentistry, 345 E 24th St, New York, NY 10010, United States of America; University of San Francisco, School of Pharmacy, 513 Parnassus Ave, San Francisco, CA 94143, United States of America.
| |
Collapse
|
13
|
Cuevas H, Heitkemper E, Kim J. Subjective Cognitive Dysfunction in Chronic Illness: A Systematic Review and Meta-Synthesis. West J Nurs Res 2024; 46:708-724. [PMID: 39158016 DOI: 10.1177/01939459241272039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/20/2024]
Abstract
BACKGROUND Qualitative studies have examined the experiences of subjective cognitive dysfunction in specific populations or specific disease stages, but there has not yet been a systematic synthesis and evaluation of findings related to perceptions of subjective cognitive dysfunction in nondementia-related chronic illnesses. OBJECTIVE The aim of this study was 2-fold: (1) to undertake a systematic review of experiences of subjective cognitive dysfunction in people with nondementia-related chronic disease and (2) to develop an explanatory framework to describe the experiences of living with subjective cognitive dysfunction. METHODS Four databases were systematically searched for studies on subjective cognitive dysfunction up to June 2023. Qualitative synthesis was conducted on the final sample (N = 25) using Sandelowski's adaptation of Nobilt and Hare's reciprocal transactional analysis method. Critical appraisal was completed using the Critical Appraisal Skills Programme checklist. RESULTS Through constant comparison of key concepts, findings were organized within 4 interrelated themes that informed a conceptual explanatory model of adapting to living with subjective cognitive dysfunction: (1) symptoms, (2) health care, (3) perceptions of self, and (4) relationships. Participants highlighted how subjective cognitive dysfunction affected interactions in health care settings and involved other symptoms that in turn complicated meaning, self-enhancement, and mastery. CONCLUSIONS Our model of the process of adapting provides a new way to conceptualize cognitive dysfunction in chronic illness and suggests opportunities for health care professionals to support patients and their families. The results highlight the need for more research to better understand the role of subjective cognitive dysfunction in nondementia-related chronic illnesses.The review protocol was registered in PROSPERO (CRD42021231410).
Collapse
Affiliation(s)
- Heather Cuevas
- School of Nursing, The University of Texas at Austin, Austin, TX, USA
| | | | - Jeeyeon Kim
- School of Nursing, The University of Texas at Austin, Austin, TX, USA
| |
Collapse
|
14
|
Yang L, Lin W, Yan X, Zhang Z. Comparative effects of lifelong moderate-intensity continuous training and high-intensity interval training on blood lipid levels and mental well-being in naturally ageing mice. Exp Gerontol 2024; 194:112519. [PMID: 38992822 DOI: 10.1016/j.exger.2024.112519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2024] [Revised: 06/29/2024] [Accepted: 07/08/2024] [Indexed: 07/13/2024]
Abstract
OBJECTIVE This study aimed to investigate the impact of lifelong exercise, including both moderate-intensity continuous training and high-intensity interval training, on blood lipid levels and mental behaviour in naturally ageing mice to identify effective exercise strategies for ageing-related health issues. METHODS Six-week-old male BALB/c mice were randomly assigned to one of four groups: young control (YC), natural ageing control (OC), lifelong moderate-intensity continuous exercise (EM), and lifelong high-intensity interval exercise (EH) groups. The EM group was trained at a speed corresponding to 70 % of the maximum running speed, while the EH group was trained at a running speed alternating between 50 % of the maximum running speed, 70 % of the maximum running speed, and 90 % of the maximum running speed. All exercise sessions were conducted three times per week, with each session lasting 50 min. Behavioural tests and blood sample collection were conducted at 72 weeks of age. RESULTS Ageing in mice led to changes in muscle and fat mass. Both the EM and EH groups showed greater muscle mass and lower fat mass than did the OC group. Ageing was associated with elevated anxiety (fewer open arm entries, time spent in the central region) and depression (lower sucrose preference) indicators. However, these changes were reversed in both exercise groups, with no differences between the two exercise groups. Blood lipid levels, including total cholesterol (TC), total triglycerides (TGs), low-density lipoprotein (LDL), and free fatty acid (FFA) levels, were greater in the OC group than in the YC group. Additionally, the OC group exhibited lower high-density lipoprotein (HDL) levels. However, both the EM and EH groups exhibited improved lipid profiles compared to those of the YC group. CONCLUSION Lifelong exercise, whether moderate-intensity continuous or high-intensity interval training, can preserve body health during ageing, prevent anxiety and depression, and maintain stable blood lipid levels. Both exercise types are equally effective, suggesting that exercise intensity may not be the critical factor underlying these beneficial adaptations.
Collapse
Affiliation(s)
- Ling Yang
- School of Physical Education, Shaoguan University, Shaoguan 512000, Guangdong, China; Institute for Health and Sport, Victoria University, Melbourne, VIC 8001, Australia
| | - Wentao Lin
- School of Physical Education and Health, Zhuhai College of Science and Technology, Zhuhai 519090, Guangdong, China
| | - Xu Yan
- Institute for Health and Sport, Victoria University, Melbourne, VIC 8001, Australia
| | - Zhishang Zhang
- Department of Physical Education, Guangdong Medical University, Dongguan 523808, Guangdong, China.
| |
Collapse
|
15
|
Silva SV, Santos IS, Lima DB, Goulart AC, Varella AC, Lotufo PA, Brunoni AR, Bensenor IM. The effect of age on the relationship between negative life events and current and new depressive episodes: results from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). J Affect Disord 2024:S0165-0327(24)01430-7. [PMID: 39218314 DOI: 10.1016/j.jad.2024.08.201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 07/15/2024] [Accepted: 08/29/2024] [Indexed: 09/04/2024]
Abstract
BACKGROUND There is scarce data concerning the relationship between negative life events (NLEs)* and current and new depressive episodes by age. METHODS Cross-sectional (baseline) and prospective analyses (4-year/8-year follow-ups) were performed in 15,105 civil servants in 6 cities in Brazil classified according to age strata at baseline: 1st(35-44), 2nd(45-54), 3rd(55-64), and 4th(65-74) years. The independent variable was NLEs in the last year (robbery, hospitalization, death of a relative, financial hardship, and rupture of a love relationship) collected at baseline. The dependent variable was depressive episodes assessed at baseline (current), and 4-year/8-year follow-ups (new). We built logistic (Odds Ratio[OR];95 % Confidence Interval[CI]) in the cross-sectional analysis and Poisson regression models (Relative Risk[RR], [CI]) in the prospective analysis. RESULTS Robbery, hospitalization, financial hardship, rupture of a relationship were associated with current depressive episodes concentrated in the 35-44 age range, while for new depressive episodes, the association of hospitalization, death of a relative, and financial hardship were concentrated in the 45-54 age stratum. Financial hardship was associated with current depressive episodes in all age-strata: 1st: OR, 2.77(CI, 1.83-4.19); 2nd: OR, 1.71(CI, 1.26-2.34); 3rd: OR, 1.68(CI,1.15-2.46); 4th, OR, 4.07(CI, 1.24-13.34), and new depressive episodes: 1st: RR, 1.45(CI, 1.09-1.93); 2nd RR, 1.46(CI: 1.15-1.84); 3rd: RR, 1.97(CI, 1.38-2.82). Rupture of a relationship was associated only with current depressive episode, while death of a relative only with new depressive episode. LIMITATION We cannot rule out the possibility of recall bias, since NLEs` information was self-reported. CONCLUSION The association between NLEs with depressive episodes was concentrated in youngers.
Collapse
Affiliation(s)
- Simone V Silva
- Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo, Brazil
| | - Itamar S Santos
- Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo, Brazil; Center for Clinical and Epidemiological Research, Hospital Universitário HU-USP, Universidade de São Paulo, São Paulo, Brazil
| | - Danielle B Lima
- Department of Public Health, Faculdade de Ciências Médicas FCMSCSP, Santa Casa de São Paulo, São Paulo, Brazil
| | - Alessandra C Goulart
- Center for Clinical and Epidemiological Research, Hospital Universitário HU-USP, Universidade de São Paulo, São Paulo, Brazil
| | - Ana C Varella
- Center for Clinical and Epidemiological Research, Hospital Universitário HU-USP, Universidade de São Paulo, São Paulo, Brazil
| | - Paulo A Lotufo
- Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo, Brazil; Center for Clinical and Epidemiological Research, Hospital Universitário HU-USP, Universidade de São Paulo, São Paulo, Brazil
| | - Andre R Brunoni
- Service of Interdisciplinary Neuromodulation, Laboratory of Neurosciences (LIM-27), Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil; Service of Electroconvulsive Therapy, Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Isabela M Bensenor
- Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo, Brazil; Center for Clinical and Epidemiological Research, Hospital Universitário HU-USP, Universidade de São Paulo, São Paulo, Brazil.
| |
Collapse
|
16
|
Yang H, Chen Y, Tao Q, Shi W, Tian Y, Wei Y, Li S, Zhang Y, Han S, Cheng J. Integrative molecular and structural neuroimaging analyses of the interaction between depression and age of onset: A multimodal magnetic resonance imaging study. Prog Neuropsychopharmacol Biol Psychiatry 2024; 134:111052. [PMID: 38871019 DOI: 10.1016/j.pnpbp.2024.111052] [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: 04/08/2024] [Revised: 05/30/2024] [Accepted: 06/10/2024] [Indexed: 06/15/2024]
Abstract
Depression is a neurodevelopmental disorder that exhibits progressive gray matter volume (GMV) atrophy. Research indicates that brain development is influential in depression-induced GMV alterations. However, the interaction between depression and age of onset is not well understood by the underlying molecular and neuropathological mechanisms. Thus, 152 first-episode depression individuals and matched 130 healthy controls (HCs) were recruited to undergo T1-weighted high-resolution magnetic resonance imaging for this study. By two-way ANOVA, age and diagnosis were used as factors when analyzing the interaction of GMV in the participants. Then, spatial correlations between neurotransmitter maps and factor-related volume maps are established. Results illustrate a pronounced antagonistic interaction between depression and age of onset in the right insula, superior temporal gyrus, anterior cingulate gyrus, and orbitofrontal gyrus. Depression-caused reductions in GMV are mainly distributed in thalamic-limbic-cortical regions, regardless of age. For the main effect of age, adults exhibit brain atrophy in frontal, cerebellum, parietal, and temporal lobe structures. Cross-modal correlations showed that GMV changes in the interactive regions were linked with the serotonergic system and dopaminergic systems. Summarily, our results reveal the interaction between depression and age of onset in neurobiological mechanisms, which provide hints for future treatment of different ages of depression.
Collapse
Affiliation(s)
- Huiting Yang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, Zhengzhou, China; Henan Engineering Technology Research Center for detection and application of brain function, Zhengzhou, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, Zhengzhou, China; Henan key laboratory of imaging intelligence research, Zhengzhou, China; Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China
| | - Yuan Chen
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, Zhengzhou, China; Henan Engineering Technology Research Center for detection and application of brain function, Zhengzhou, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, Zhengzhou, China; Henan key laboratory of imaging intelligence research, Zhengzhou, China; Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China
| | - Qiuying Tao
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, Zhengzhou, China; Henan Engineering Technology Research Center for detection and application of brain function, Zhengzhou, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, Zhengzhou, China; Henan key laboratory of imaging intelligence research, Zhengzhou, China; Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China
| | - Wenqing Shi
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, Zhengzhou, China; Henan Engineering Technology Research Center for detection and application of brain function, Zhengzhou, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, Zhengzhou, China; Henan key laboratory of imaging intelligence research, Zhengzhou, China; Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China
| | - Ya Tian
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, Zhengzhou, China; Henan Engineering Technology Research Center for detection and application of brain function, Zhengzhou, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, Zhengzhou, China; Henan key laboratory of imaging intelligence research, Zhengzhou, China; Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China
| | - Yarui Wei
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, Zhengzhou, China; Henan Engineering Technology Research Center for detection and application of brain function, Zhengzhou, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, Zhengzhou, China; Henan key laboratory of imaging intelligence research, Zhengzhou, China; Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China
| | - Shuying Li
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yong Zhang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, Zhengzhou, China; Henan Engineering Technology Research Center for detection and application of brain function, Zhengzhou, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, Zhengzhou, China; Henan key laboratory of imaging intelligence research, Zhengzhou, China; Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China.
| | - Shaoqiang Han
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, Zhengzhou, China; Henan Engineering Technology Research Center for detection and application of brain function, Zhengzhou, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, Zhengzhou, China; Henan key laboratory of imaging intelligence research, Zhengzhou, China; Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China.
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, Zhengzhou, China; Henan Engineering Technology Research Center for detection and application of brain function, Zhengzhou, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, Zhengzhou, China; Henan key laboratory of imaging intelligence research, Zhengzhou, China; Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China.
| |
Collapse
|
17
|
Squassina A, Pisanu C, Menesello V, Meloni A, Congiu D, Manchia M, Paribello P, Abate M, Bortolomasi M, Baune BT, Gennarelli M, Minelli A. Leukocyte Telomere Length and Mitochondrial DNA Copy Number in Treatment-Resistant Depression and Response to Electroconvulsive Therapy: A Pilot Longitudinal Study. J ECT 2024:00124509-990000000-00206. [PMID: 39178054 DOI: 10.1097/yct.0000000000001060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/25/2024]
Abstract
OBJECTIVES In this study, we investigated if changes in leukocyte telomere length (LTL) and mitochondrial DNA copy number (mtDNA-cn), 2 markers of cellular aging, are associated with treatment-resistant depression (TRD) and with response to electroconvulsive therapy (ECT). METHODS LTL and mtDNA-cn were measured in 31 TRD patients before (T0), 1 week (T1), and 4 weeks (T2) after the ECT course, as well as in a sample of 65 healthy controls. RESULTS TRD patients had significantly shorter LTL and higher mtDNA-cn compared with healthy controls at baseline. In the TRD sample, LTL was inversely correlated with Montgomery-Åsberg Depression Rating Scale scores at baseline. Baseline levels of LTL or mtDNA-cn were not correlated with response to ECT. Similarly, changes in LTL or mtDNA-cn were not associated with response to ECT either when considered as a dichotomous trait (responders vs nonresponders) or as a percentage change in symptoms improvements. CONCLUSIONS Ours is the first longitudinal study exploring the role of LTL and mtDNA-cn in response to ECT. Findings of this pilot investigation suggest that LTL and mtDNA-cn may constitute disease biomarkers for TRD but are not involved in response to ECT.
Collapse
Affiliation(s)
- Alessio Squassina
- From the Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy
| | - Claudia Pisanu
- From the Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy
| | - Valentina Menesello
- Genetics Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Anna Meloni
- From the Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy
| | - Donatella Congiu
- From the Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy
| | - Mirko Manchia
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari Italy
| | - Pasquale Paribello
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari Italy
| | - Maria Abate
- Psychiatric Hospital "Villa Santa Chiara," Verona, Italy
| | | | - Bernhard T Baune
- Department of Psychiatry, University of Münster, Münster, Germany; Department of Psychiatry, University of Melbourne, Melbourne, Australia; Florey Institute of Neuroscience and Mental Health, Melbourne, Australia and
| | | | | |
Collapse
|
18
|
Xie XM, Sha S, Cai H, Liu X, Jiang I, Zhang L, Wang G. Resting-State Alpha Activity in the Frontal and Occipital Lobes and Assessment of Cognitive Impairment in Depression Patients. Psychol Res Behav Manag 2024; 17:2995-3003. [PMID: 39176258 PMCID: PMC11339342 DOI: 10.2147/prbm.s459954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Accepted: 08/12/2024] [Indexed: 08/24/2024] Open
Abstract
Background Major depressive disorder (MDD) becomes one of the psychiatric disorders characteristic of a combination of cognitive, emotional, and somatic symptoms. Additionally, cognitive impairment has the most significant impact on functional results. However, the evaluation of cognitive level is still based on various subjective questionnaires as there is no objective standard assessment yet. This research focuses on resting-state alpha activity to identify cognition in MDD patients using electroencephalography (EEG) signals. Methods Ninety-two subjects were recruited: 44 patients with MDD and 48 healthy individuals as controls. Functional outcome and cognition were assessed using standardized instruments, and the EEG resting state signal of open and closed eyes was recorded. The comparison and correlation of cognitive levels with alpha power in the bilateral frontal region, bilateral central region, bilateral occipital region, and middle line was evaluated. Results The relative alpha power in MDD group was significantly lower than that in the control group (P < 0.05). Through correlation analysis, it was shown that the bilateral frontal and occipital alpha power of MDD patients in the closed-eyes state was positively correlated with information processing rate, verbal learning, working memory, and attention retention. The alpha power of the bilateral frontal region in the open-eyes state was positively correlated with information processing rate, working memory, and attention retention (P < 0.05). Conclusion The research indicates that the changes in frontal and occipital alpha activities may be a promising neurophysiological indicator of cognitive level to diagnose and treat response prediction.
Collapse
Affiliation(s)
- Xiao-Meng Xie
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, School of Mental Health, Beijing, People’s Republic of China
| | - Sha Sha
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, School of Mental Health, Beijing, People’s Republic of China
| | - Hong Cai
- Unit of Medical Psychology and Behavior Medicine, School of Public Health, Guangxi Medical University, Nanning, Guangxi, People’s Republic of China
| | - Xinyu Liu
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, School of Mental Health, Beijing, People’s Republic of China
| | - Isadora Jiang
- Bellarmine College of Liberal Arts, Loyola Marymount University, Los Angeles, CA, USA
| | - Ling Zhang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, School of Mental Health, Beijing, People’s Republic of China
| | - Gang Wang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, School of Mental Health, Beijing, People’s Republic of China
| |
Collapse
|
19
|
Wu S, Yuan G, Wu L, Zou L, Wu F. Identifying the association between depression and constipation: An observational study and Mendelian randomization analysis. J Affect Disord 2024; 359:394-402. [PMID: 38806066 DOI: 10.1016/j.jad.2024.05.124] [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: 01/02/2024] [Revised: 05/23/2024] [Accepted: 05/24/2024] [Indexed: 05/30/2024]
Abstract
BACKGROUND Both depression and constipation are universal disorders that seriously affect quality of life. But the phenotypic relationship and causality between depression and constipation are still unclear. METHODS We first assessed phenotypic relationships by logistic regression analysis using large-scale data extracted from the National Health and Nutrition Examination Survey (N = 11,585). We then evaluated causality by bidirectional two-sample mendelian randomization (MR) analysis using Genome-wide association study (GWAS) data (depression: N = 807,553; constipation: N = 377,277). To investigate whether depression severity affects the causal relationship between depression and constipation, we conducted a further MR study on GWAS data of major depression (N = 480,359). RESULTS About 11.31 % of the participants in the constipation group suffered from depression, which was significantly higher than the normal bowel group (6.09 %). The observational study showed a positive correlation between depression and constipation (OR = 1.968, 95%CI = 1.530-2.532). Besides, the risk of constipation was higher in participants with severe depression (OR = 2.294, 95%CI = 1.538-3.422) than in participants with mild depression (OR = 1.549, 95%CI = 1.242-1.932). Bidirectional MR analysis revealed an obviously causal effect of depression on constipation, but no causal effect of constipation on depression. In addition, the MR analysis also revealed a causal relationship between major depression and constipation. LIMITATION The exact mechanism by which depression affects constipation is still unclear. CONCLUSION This study reveals a positive correlation between depression and constipation and the causal effect of depression on constipation. Clinicians should keep the risk of constipation in mind when treating patients with depression.
Collapse
Affiliation(s)
- Shasha Wu
- Department of Gastroenterology, The Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang, Sichuan, PR China
| | - Guojun Yuan
- Department of Gastroenterology, The Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang, Sichuan, PR China
| | - Linlin Wu
- Department of Psychosomatic diseases, The Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang, Sichuan, PR China
| | - Long Zou
- Department of Gastroenterology, The Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang, Sichuan, PR China.
| | - Feixiang Wu
- Department of Urology, The Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang, Sichuan, PR China.
| |
Collapse
|
20
|
Sun Y, Li X, Liu H, Li Y, Gui J, Zhang X, Li X, Sun L, Wang C, Li J, Liu M, Zhang D, Gao J, Kang X, Lei Y, Zhang L, Yuan T. Predictive role of depressive symptoms on frailty and its components in Chinese middle-aged and older adults: a longitudinal analysis. BMC Public Health 2024; 24:2201. [PMID: 39138460 PMCID: PMC11321163 DOI: 10.1186/s12889-024-19627-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Accepted: 07/29/2024] [Indexed: 08/15/2024] Open
Abstract
BACKGROUND To investigate the cross-sectional and longitudinal associations between depressive symptoms and the prevalence of frailty and its components in a nationally representative sample of middle-aged and older Chinese adults. METHOD The China Health and Retirement Longitudinal Study (CHARLS) provided data on 2581 (after inclusion and exclusion criteria) adults aged ≥ 45 years. Every two years, face-to-face, computer-aided personal interviews (CAPI), and structured questionnaires were used to follow up with the respondents. The Chinese version of the Center for Epidemiologic Studies-Depression Scale (CES-D) was used to evaluate depressive symptoms, and the Fried criteria were used to measure frailty. The odds ratio (OR) and 95% confidence interval (CI) for the association of exposure (depressive symptoms at baseline) with the onset of the outcome (frailty and its components) in the individuals at baseline were analyzed by binary logistic regression. RESULTS At baseline, 11.62% of participants had frailty, and 57.92% had depressive symptoms. In the cross-sectional analysis, depressive symptoms (OR = 5.222, 95%CI 3.665-7.442) were associated with frailty. In the longitudinal analysis, after adjusting for the full set of covariates among participants free of baseline frailty, depressive symptoms were significantly associated with incident frailty during the short term (OR = 2.193, 95%CI 1.324-3.631) and the long term (OR = 1.926, 95%CI 1.021-3.632). Meanwhile, depressive symptoms were associated with an increased risk of weakness (OR = 1.990, 95%CI 1.250-3.166), slowness (OR = 1.395, 95%CI 1.044-1.865), and exhaustion (OR = 2.827, 95%CI 2.150-3.719) onset during the short-term. Depressive symptoms were associated with an increased risk of exhaustion (OR = 2.869, 95%CI 2.004-4.109) onset during the long-term. CONCLUSION Among middle-aged and older adults, depressive symptoms could predict frailty during 2 years of follow-up and 4 years of follow-up. When considering potential confounding factors, depressive symptoms were considered a predictor of weakness, slowness, and exhaustion. Interventions aimed at preventing depressive symptoms may be beneficial in reducing frailty and its components.
Collapse
Affiliation(s)
- Yuanhao Sun
- Department of Graduate School, Wannan Medical College, Wuhu, An Hui, P.R. China
| | - Xiangdong Li
- Department of Gerontology, Yijishan Hospital, The First Affiliated Hospital of Wannan Medical College, Zheshan West Road, Yijishan District, Wuhu City, Anhui Province, P.R. China
| | - Haiyang Liu
- Student Health Center, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, P.R. China
| | - Yuqing Li
- Department of Graduate School, Wannan Medical College, Wuhu, An Hui, P.R. China
| | - Jiaofeng Gui
- Department of Graduate School, Wannan Medical College, Wuhu, An Hui, P.R. China
| | - Xiaoyun Zhang
- Department of Graduate School, Wannan Medical College, Wuhu, An Hui, P.R. China
| | - Xiaoping Li
- Department of Emergency and Critical Care Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, P.R. China
| | - Lu Sun
- Department of Emergency and Critical Care Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, P.R. China
| | - Congzhi Wang
- Department of Internal Medicine Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, P.R. China
| | - Jing Li
- Department of Surgery Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, P.R. China
| | - Mingming Liu
- Department of Surgery Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, P.R. China
| | - Dongmei Zhang
- Department of Pediatric Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, P.R. China
| | - Jingyi Gao
- Department of Nursing School, Wannan Medical College, Wuhu, An Hui, P.R. China
| | - Xuefeng Kang
- Department of Nursing School, Wannan Medical College, Wuhu, An Hui, P.R. China
| | - Yunxiao Lei
- Department of Gynecology and Obstetrics Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, P.R. China
| | - Lin Zhang
- Department of Internal Medicine Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, P.R. China
| | - Ting Yuan
- Department of Gynecology and Obstetrics Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, P.R. China.
| |
Collapse
|
21
|
Leung J, Li KK. Spiritual Connectivity Intervention for Individuals with Depressive Symptoms: A Randomized Control Trial. Healthcare (Basel) 2024; 12:1604. [PMID: 39201165 PMCID: PMC11354055 DOI: 10.3390/healthcare12161604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2024] [Revised: 08/03/2024] [Accepted: 08/09/2024] [Indexed: 09/02/2024] Open
Abstract
Depression is one of the most prevalent mental disorders worldwide. This study examined the effect of a spiritual connectivity intervention on individuals with depression in a randomized waitlist-controlled trial. Fifty-seven participants with mild or moderate depressive symptoms were randomly assigned to either the intervention group (n = 28) or the waitlist control group (n = 29). The intervention comprised eight weekly sessions focusing on divine connection, forgiveness and freedom, suffering and transcendence, hope, gratitude, and relapse prevention. The outcome measures included depressive symptoms, anxiety, hope, meaning in life, self-esteem, and social support. Participants completed self-administered questionnaires at baseline (week 0), post-intervention (week 8), and 3-month follow-up (week 20). Repeated-measures ANOVA and one-way ANCOVA were used to compare the within-group and between-group differences in the changes in outcome variables. Participants in the intervention group showed significant improvements in depression, anxiety, spiritual experience, hope, self-esteem, and perceived social support after the intervention. Effect size statistics showed small to large differences (Cohen's d, 0.308 to -1.452). Moreover, 85.71% of participants in the intervention group also experienced clinically significant reductions in PHQ-9 scores from baseline to immediate post-intervention. This study highlights the effectiveness of a low-cost, accessible intervention suitable for community implementation by clergy and faith-based organizations.
Collapse
Affiliation(s)
- Judy Leung
- School of Nursing & Health Studies, Hong Kong Metropolitan University, Hong Kong SAR, China
- Department of Social and Behavioural Sciences, City University of Hong Kong, Hong Kong SAR, China
| | - Kin-Kit Li
- Department of Social and Behavioural Sciences, City University of Hong Kong, Hong Kong SAR, China
| |
Collapse
|
22
|
Niering M, Klass A, Wolf-Belala N, Seifert J. Prevalence, severity, and predictors of self-reported depression in ultra-distance runners: An online survey based on 265 athletes. Injury 2024; 55:111790. [PMID: 39146612 DOI: 10.1016/j.injury.2024.111790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Revised: 07/14/2024] [Accepted: 08/03/2024] [Indexed: 08/17/2024]
Abstract
BACKGROUND Literature suggests a high prevalence of mental health disorders among athletes practicing elite and extreme sports. One of the most commonly encountered disorders in this group of individuals is depression. OBJECTIVE The aim of this study was to examine the prevalence, severity, and risk factors of symptoms of self-reported depression among ultra-distance runners. METHODS Data was collected using an online survey (February to April 2023) and included 265 (age 48.35 ± 10.52 years) adult ultra-runners. The Beck Depression Inventory-II (BDI-II) was used to measure self-reported depression. Additional variables comprised basic sociodemographic information and information regarding training, ultramarathon experience, and previous injury. Descriptive and interferential statistics were performed using JASP Version 0.16.4. RESULTS We found that 21.9 % (n = 58) of ultra-runners suffered from self-reported depression (i.e., BDI-II score ≥ 14) with an average BDI-II score of 22.7 ± 7.1 (moderately severe symptoms). Female ultra-runners had a higher prevalence (30.8 %) of self-reported depression than males (16.2 %, p = .001). Logistic regression revealed that ultra-runners without previous sports injury (p = .01) and those of increasing age (p = .003) had a significantly lower risk of self-reported depression. Similarly, linear regression showed the absence of injury (p < .001) and increasing age (p = .02) resulted in significantly lower BDI-II scores. Training volume in distance and hours per week as well as ultra-running experience did not show any significant association. CONCLUSIONS Affecting more than one-fifth of our collective, depressive symptoms appear to be highly prevalent among ultra-runners. Our findings underline the importance of screening for clinical depression, especially among injured athletes. However, the previously assumed peculiarities of the sport in the area of high training volume do not appear to be a significant factor.
Collapse
Affiliation(s)
- Marc Niering
- Institute of Biomechanics and Neuroscience, Nordic Science, Hannover, Germany
| | - Alexander Klass
- Triagon Academy Munich, School of Sports, Psychology and Education, Ismaning, Germany
| | - Nacera Wolf-Belala
- Institute of Biomechanics and Neuroscience, Nordic Science, Hannover, Germany
| | - Johanna Seifert
- Institute of Biomechanics and Neuroscience, Nordic Science, Hannover, Germany; Department of Psychiatry, Social Psychiatry and Psychotherapy, Medical School Hannover, Hannover, Germany.
| |
Collapse
|
23
|
Jiang Y, Cai Y, Teng T, Wang X, Yin B, Li X, Yu Y, Liu X, Wang J, Wu H, He Y, Zhu ZJ, Zhou X. Dysregulations of amino acid metabolism and lipid metabolism in urine of children and adolescents with major depressive disorder: a case-control study. Psychopharmacology (Berl) 2024; 241:1691-1703. [PMID: 38605232 DOI: 10.1007/s00213-024-06590-0] [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: 11/14/2023] [Accepted: 04/08/2024] [Indexed: 04/13/2024]
Abstract
RATIONALE The mechanisms underlying major depressive disorder (MDD) in children and adolescents are unclear. Metabolomics has been utilized to capture metabolic signatures of various psychiatric disorders; however, urinary metabolic profile of MDD in children and adolescents has not been studied. OBJECTIVES We analyzed urinary metabolites in children and adolescents with MDD to identify potential biomarkers and metabolic signatures. METHODS Here, liquid chromatography-mass spectrometry was used to profile metabolites in urine samples from 192 subjects, comprising 80 individuals with antidepressant-naïve MDD (AN-MDD), 37 with antidepressant-treated MDD (AT-MDD) and 75 healthy controls (HC). We performed orthogonal partial least squares discriminant analysis to identify differential metabolites and employed logistic regression and receiver operating characteristic analysis to establish a diagnostic panel. RESULTS In total, 143 and 71 differential metabolites were identified in AN-MDD and AT-MDD, respectively. These were primarily linked to lipid metabolism, molecular transport, and small molecule biochemistry. AN-MDD additionally exhibited dysregulated amino acid metabolism. Compared to HC, a diagnostic panel of seven metabolites displayed area under the receiver operating characteristic curves of 0.792 for AN-MDD, 0.828 for AT-MDD, and 0.799 for all MDD. Furthermore, the urinary metabolic profiles of children and adolescents with MDD significantly differed from those of adult MDD. CONCLUSIONS Our research suggests dysregulated amino acid metabolism and lipid metabolism in the urine of children and adolescents with MDD, similar to results in plasma metabolomics studies. This contributes to the comprehension of mechanisms underlying children and adolescents with MDD.
Collapse
Affiliation(s)
- Yuanliang Jiang
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yuping Cai
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, China
| | - Teng Teng
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xiaolin Wang
- Health Management Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Bangmin Yin
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xuemei Li
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Ying Yu
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xueer Liu
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jie Wang
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Hongyan Wu
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yuqian He
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Zheng-Jiang Zhu
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, China.
- Shanghai Key Laboratory of Aging Studies, Shanghai, China.
| | - Xinyu Zhou
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
| |
Collapse
|
24
|
Zhong Y, Perlman G, Klein DN, Jin J, Kotov R. The Prospective Predictive Power of Parent-Reported Personality Traits and Facets in First-Onset Depression in Adolescent Girls. Res Child Adolesc Psychopathol 2024; 52:1221-1231. [PMID: 38502402 PMCID: PMC11289305 DOI: 10.1007/s10802-024-01186-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/23/2024] [Indexed: 03/21/2024]
Abstract
Certain personality traits and facets are well-known risk factors that predict first-onset depression during adolescence. However, prior research predominantly relied on self-reported data, which has limitations as a source of personality information. Reports from close informants have the potential to increase the predictive power of personality on first-onsets of depression in adolescents. With easy access to adolescents' behaviors across settings and time, parents may provide important additional information about their children's personality. The same personality trait(s) and facet(s) rated by selves (mean age 14.4 years old) and biological parents at baseline were used to prospectively predict depression onsets among 442 adolescent girls during a 72-month follow-up. First, bivariate logistic regression was used to examine whether parent-reported personality measures predicted adolescent girls' depression onsets; then multivariate logistic regression was used to test whether parent reports provided additional predictive power above and beyond self-reports of same trait or facet. Parent-reported personality traits and facets predicted adolescents' depression onsets, similar to findings using self-reported data. After controlling for the corresponding self-report measures, parent-reported higher openness (at the trait level) and higher depressivity (at the facet-level) incrementally predicted first-onset of depression in the sample. Findings demonstrated additional variance contributed by parent-reported personality measures and validated a multi-informant approach in using personality to prospectively predict onsets of depression in adolescent girls.
Collapse
Affiliation(s)
- Yiming Zhong
- Department of Psychology, The University of Hong Kong, Hong Kong SAR, China
| | - Greg Perlman
- Department of Psychiatry, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, USA
| | - Daniel N Klein
- Department of Psychiatry, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, USA
- Department of Psychology, Stony Brook University, Stony Brook, NY, USA
| | - Jingwen Jin
- Department of Psychology, The University of Hong Kong, Hong Kong SAR, China.
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong SAR, China.
| | - Roman Kotov
- Department of Psychiatry, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, USA.
- Department of Psychology, Stony Brook University, Stony Brook, NY, USA.
| |
Collapse
|
25
|
Ortuño D, Martínez C, Caneo C, Paredes F, Soto M, González MI, Vargas JP, Koller G. Tooth loss and depression in Chilean participants of the National Health Survey 2016-2017: Oral and social functions mediation analysis. J Affect Disord 2024; 358:19-27. [PMID: 38703903 DOI: 10.1016/j.jad.2024.05.010] [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: 10/27/2023] [Revised: 04/29/2024] [Accepted: 05/01/2024] [Indexed: 05/06/2024]
Abstract
BACKGROUND Previous studies have indicated the association between poor oral health and depression in adults. This study evaluated oral and social functions contribution to the association between tooth loss and depressive symptoms in Chilean individuals. METHODS We used data from the Chilean National Health Survey. The number of remaining teeth (≤19 versus ≥20 teeth) and anterior tooth losses were the exposure variables. Outcome was depression, measured through a self-report question and with the Composite International Diagnostic Interview - Short Form (CIDI SF). Mediating variables were determined by five questions, including problems regarding "speaking", "pain and suffering", "eating", "daily activities", and "social relationships". We performed logistic regression models adjusted by multiple confounders variables. Finally, we calculated indirect, direct effect, total effect, and the proportion mediated (PM). RESULTS We included 5383 participants. The self-reported depression and suspected depression prevalence were 22,1 % and 14,0 % respectively. The total effect of fewer remaining teeth (≤19) on self-reported depression was 1.21 (95 % CI 1.02-1.44), and 1.09 (95 % CI 0.90-1.33) for suspected depression. All five variables of oral and social functions significantly mediated the association between tooth loss and depression. Feeling uncomfortable when speaking or eating discomfort were the most significant mediators. LIMITATIONS The mediation analysis should be interpreted with caution due to the cross-sectional design. CONCLUSIONS Deterioration of oral and social functions was a significant mediator in the association between tooth loss and depression, in particular feeling uncomfortable when speaking or eating. This mechanism should be considered in interventions to improve mental health.
Collapse
Affiliation(s)
- Duniel Ortuño
- Pontificia Universidad Católica de Chile, Programa Doctorado en Epidemiología, Chile; Facultad de Odontología, Universidad de los Andes, Chile..
| | - Constanza Martínez
- Pontificia Universidad Católica de Chile, Programa Doctorado en Epidemiología, Chile; Facultad de Odontología, Universidad de los Andes, Chile
| | - Constanza Caneo
- Pontificia Universidad Católica de Chile, Programa Doctorado en Epidemiología, Chile
| | - Fabio Paredes
- Faculty of Mathematics, Pontificia Universidad Católica de Chile, Chile
| | - Mario Soto
- Escuela de Tecnología Médica, Facultad de Salud y Odontología, Universidad Diego Portales
| | | | - Juan Pablo Vargas
- Escuela de Odontología, Pontificia Universidad Católica de Chile, Chile
| | - Garrit Koller
- Department of Endodontics, Centre for Oral, Clinical and Translational Sciences, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, United Kingdom; London Centre for Nanotechnology, London, United Kingdom
| |
Collapse
|
26
|
Gammoh O, Sayaheen B, Alsous M, Al-Smadi A, Al-Jaidi B, Aljabali AAA. The Prevalence and Correlates of Depression, Anxiety, and Insomnia among Camp Residing Palestinian Women Migrants during the Outbreak of the War on Gaza: A Cross-Sectional Study from Jordan. MEDICINA (KAUNAS, LITHUANIA) 2024; 60:1228. [PMID: 39202508 PMCID: PMC11356496 DOI: 10.3390/medicina60081228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2024] [Revised: 07/26/2024] [Accepted: 07/27/2024] [Indexed: 09/03/2024]
Abstract
Background and Objectives: The current war on the Gaza strip and the circulating violent content is believed to negatively impact the mental health of the Palestinians living in refugee camps outside their homeland. This study explores the prevalence and correlates of depression, anxiety, and insomnia in a cohort of female Palestinian refugees in Jordan who have family members entangled in the persistent conflict in the Gaza strip. Materials and Methods: This cross-sectional study employed validated tools to assess depression, anxiety, and insomnia in women residing in a Gaza camp located in Jerash, Jordan. The correlates were determined by regression analysis. Results: The study unearths disconcerting statistics from 177 recruited women, revealing alarmingly high rates of severe depression (73%), anxiety (60%), and insomnia (65%). Multivariable analysis revealed that severe depression was significantly associated with prior diagnosis with chronic diseases (OR = 3.0, CI = 1.36-6.58), and having a first-degree relative in Gaza (OR = 0.42, CI = 0.20-0.85). Additionally, severe insomnia was associated with "losing relatives or friends in the war" (OR = 3.01, CI = 1.41-6.44), and "losing connection with families and friends" (OR = 3.89, CI = 1.58-9.53). Conclusions: The implications of these results are profound, underscoring the immediate and imperative need for both medical and psychiatric interventions aimed at addressing the substantial psychological burden borne by this population because of the ongoing conflict.
Collapse
Affiliation(s)
- Omar Gammoh
- Department of Clinical Pharmacy and Pharmacy Practice, Faculty of Pharmacy, Yarmouk University, Irbid 21163, Jordan;
| | - Bilal Sayaheen
- Department of Translation, Yarmouk University, Irbid 21163, Jordan;
| | - Mervat Alsous
- Department of Clinical Pharmacy and Pharmacy Practice, Faculty of Pharmacy, Yarmouk University, Irbid 21163, Jordan;
| | - Ahmed Al-Smadi
- Faculty of Nursing, Al al-Bayt University, Mafraq 25113, Jordan
| | - Bilal Al-Jaidi
- Department of Medicinal Chemistry and Pharmacognosy, Faculty of Pharmacy, Yarmouk University, Irbid 21163, Jordan;
| | - Alaa A. A. Aljabali
- Department of Pharmaceutics and Pharmaceutical Technology, Faculty of Pharmacy, Yarmouk University, Irbid 21163, Jordan;
| |
Collapse
|
27
|
Alfaqeeh M, Alfian SD, Abdulah R. Sociodemographic Factors, Health-Risk Behaviors, and Chronic Conditions Are Associated with a High Prevalence of Depressive Symptoms: Findings from the Indonesian Family Life Survey-5. Behav Med 2024:1-11. [PMID: 39045841 DOI: 10.1080/08964289.2024.2375205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 06/02/2024] [Accepted: 06/21/2024] [Indexed: 07/25/2024]
Abstract
Depression is a significant public health challenge. However, limited research exists regarding the risk of sociodemographic factors, health-risk behavior, and chronic conditions in relation to the development of depression in Indonesia. This study assesses the prevalence of depressive symptoms in adolescents and adults, and identifies its potential associations with sociodemographic factors, health-risk behaviors, and chronic conditions. A national cross-sectional population-based survey was performed, using the Indonesian Family Life Survey (IFLS-5), to assess depressive symptoms in respondents aged 15 years and older. Depression was evaluated using the Center for Epidemiologic Studies-Depression (CES-D) scale, and potential associations with sociodemographic factors, health-risk behaviors, and chronic conditions were examined using logistic regression analysis. The study revealed a high prevalence of depressive symptoms, with the highest incidence observed in the age group of 25-34 years. Factors such as unmarried status, younger age, good physical activity, and having chronic conditions showed associations with depression. These findings have implications for developing public mental health strategies to reduce the prevalence of depression in Indonesia.
Collapse
Affiliation(s)
- Mohammed Alfaqeeh
- Master Program in Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Bandung, Indonesia
| | - Sofa D Alfian
- Department of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Bandung, Indonesia
- Center of Excellence in Higher Education for Pharmaceutical Care Innovation, Universitas Padjadjaran, Bandung, Indonesia
- Center for Health Technology Assessment, Universitas Padjadjaran, Jatinangor, Indonesia
| | - Rizky Abdulah
- Department of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Bandung, Indonesia
- Center of Excellence in Higher Education for Pharmaceutical Care Innovation, Universitas Padjadjaran, Bandung, Indonesia
| |
Collapse
|
28
|
Burns SD, Crimmins EM, Zhang M, Ailshire JA. Psychosocial Well-Being Differences Between the Young Old, Old-Old, and Oldest Old: A Global Comparison. J Aging Health 2024:8982643241264587. [PMID: 39031083 DOI: 10.1177/08982643241264587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/22/2024]
Abstract
OBJECTIVES We investigate global differences in psychosocial well-being between older adult age groups. METHODS Using multinomial logistic regression, we analyzed 2018 data (n = 93,663) from 9 countries/regions in the Health and Retirement Study international family of studies to compare age group differences in depression, loneliness, and happiness. RESULTS Compared to the young old, the old-old reported more depression in Southern Europe, while the oldest old had higher risk in India and Southern Europe but lower risk in the United States. The old-old reported less loneliness in the United States but more in Southern Europe, while the oldest old had greater risk in Southern Europe. The old-old reported less happiness in Korea, while the oldest old had lower reports in Korea but higher reports in the United States. DISCUSSION The psychosocial well-being of the oldest old is exceptionally good in the United States but exceptionally poor in Southern Europe.
Collapse
Affiliation(s)
- Shane D Burns
- Population Studies Center, University of Michigan, Ann Arbor, MI, USA
| | - Eileen M Crimmins
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - Mutian Zhang
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - Jennifer A Ailshire
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
| |
Collapse
|
29
|
Vižlin A, Andersch Björkman Y, Kumar Y, Göthe M, Gillstedt M, Osmančević A. No Evidence of Gut Microbiota Alteration in Psoriasis Patients Switching to Brodalumab after Loss of TNFα Inhibition Effect. Int J Mol Sci 2024; 25:7745. [PMID: 39062988 PMCID: PMC11277239 DOI: 10.3390/ijms25147745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2024] [Revised: 07/04/2024] [Accepted: 07/08/2024] [Indexed: 07/28/2024] Open
Abstract
Biological agents used to treat severe psoriasis may alter the gut microbiota, though current knowledge is limited. This study examines whether switching from TNFα inhibitors, from which patients had reduced or lost effect, to brodalumab, an IL-17 inhibitor, affects the gut microbiota in patients with psoriasis and how these changes correlate with the clinical variables of psoriasis severity and depressive symptoms. Fecal samples from patients were collected before the treatment switch and 12 weeks after the switch and were analyzed for the microbiota composition using next-generation sequencing targeting the V3-V5 region of the 16S rRNA gene, followed by bioinformatics analysis. No significant changes in overall gut microbiota composition were observed after the treatment switch, although individual variations in the Firmicutes/Bacteroidetes ratio were noted, and no significant correlations with clinical variables were found. These findings suggest that short-term changes in gut microbiota in patients with psoriasis are limited and that dysbiosis may be influenced by the interplay of various microbial populations rather than specific taxa. This study provides a foundation for further research into the effects of biological treatments on the gut microbiota in patients with psoriasis.
Collapse
Affiliation(s)
- Admir Vižlin
- Department of Dermatology and Venereology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, 413 45 Gothenburg, Sweden; (A.V.)
| | - Ylva Andersch Björkman
- Department of Dermatology and Venereology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, 413 45 Gothenburg, Sweden; (A.V.)
- Department of Dermatology and Venereology, Sahlgrenska University Hospital, Region Västra Götaland, 413 45 Gothenburg, Sweden
| | | | | | - Martin Gillstedt
- Department of Dermatology and Venereology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, 413 45 Gothenburg, Sweden; (A.V.)
- Department of Dermatology and Venereology, Sahlgrenska University Hospital, Region Västra Götaland, 413 45 Gothenburg, Sweden
| | - Amra Osmančević
- Department of Dermatology and Venereology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, 413 45 Gothenburg, Sweden; (A.V.)
- Department of Dermatology and Venereology, Sahlgrenska University Hospital, Region Västra Götaland, 413 45 Gothenburg, Sweden
| |
Collapse
|
30
|
West NS, Namuganga LP, Isabirye D, Nakubulwa R, Ddaaki W, Nakyanjo N, Nalugoda F, Murray SM, Kennedy CE. Cognitive interviewing to assess and adapt three measures of mental health symptoms among people living with HIV in Rakai, Uganda: the Thinking a Lot Questionnaire, the Patient Health Questionnaire 9 (PHQ-9), and the Hopkins Symptoms Checklist (HSCL). RESEARCH SQUARE 2024:rs.3.rs-4697900. [PMID: 39041027 PMCID: PMC11261958 DOI: 10.21203/rs.3.rs-4697900/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/24/2024]
Abstract
Mental health is conceptualized differently across cultures, making cross-cultural validation of screening tools critical. In Uganda, we used cognitive interviewing to assess and adapt three scales for measuring psychological distress: the Thinking a Lot Questionnaire, the Patient Health Questionnaire 9 (PHQ-9), and the Hopkins Symptoms Checklist (HSCL). We recruited 12 people living with HIV from the Rakai Community Cohort Study (RCCS) and interviewed seven potential users of the scales (four RCCS survey interviewers and three local health workers). Data were analyzed systematically using a team-based matrix approach. The HSCL was generally well understood, with minor clarifications needed. The Thinking a Lot Questionnaire was also well understood, though differences between "how much" and "how often" required specificity. Both included local idioms of distress from prior adaptations. The PHQ-9 performed less well, with many questions interpreted variably or showing unclear local applicability, especially among people living with HIV. For example, questions about trouble concentrating were misunderstood, focusing on examples like newspapers rather than the broader issue of concentration. Future research should explore the validity and utility of commonly used instruments as mental health research expands in Africa.
Collapse
|
31
|
Jafari SZ, Hajifoghaha M, Azima S, Maghami PG, Panahi ZY. Investigating depression, anxiety, perceived stress and resilience in fathers faced with their spouse's abortion in Iran: a longitudinal study. BMC Psychiatry 2024; 24:496. [PMID: 38978001 PMCID: PMC11232267 DOI: 10.1186/s12888-024-05887-w] [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: 02/23/2024] [Accepted: 06/04/2024] [Indexed: 07/10/2024] Open
Abstract
BACKGROUND Abortion is a stressful event that can often affect the mental health of both parents. It seems that resilient people can adapt to stressful situations. The mental health of fathers plays an important role in improving the mental health of the family, but few studies have been conducted in this regard. Therefore, this study aimed to investigate depression, anxiety, perceived stress and resilience of fathers faced with their spouse's abortion. METHODS This longitudinal study was conducted on 125 spouses of women hospitalized in the post-partum department of Shiraz hospitals in 2023. Data collection tools included questionnaires of demographic and fertility characteristics, hospital depression and anxiety (HADS), Cohen's perceived stress, and Connor's resilience. The data were analyzed through Spss24 software using Friedman's tests and post hoc tests, Adjusted Bonferroni, Kruskal-Wallis and Mann-Whitney tests. RESULTS The mean age of the fathers was 35.02 ± 6.22. The scores of the father's anxiety, depression, and perceived stress from 24 h to 12 weeks after abortion were decreased significantly. However, their resilience score increased significantly. Also, there was a significant relationship between the fathers' age, education, job, duration of marriage, type of abortion, number and history of abortion, unwanted pregnancy, number of children and economic status with the mean score of anxiety, depression, perceived stress, and resilience in fathers over time. CONCLUSION This research pointed out the effect of abortion on depression, anxiety, and perceived stress in fathers; also, resilience as a coping factor could affect these disorders and improve the fathers' mental health. Therefore, screening and managing mental disorders in them are important to improve family health.
Collapse
Affiliation(s)
- Seyede Zahra Jafari
- Department of Midwifery, Student Research Center, School of Nursing and Midwifery, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mahboubeh Hajifoghaha
- Department of Midwifery and Reproductive Health, School of Nursing and Midwifery affiliated to Shiraz, University of Medical Sciences, Shiraz, Iran
| | - Sara Azima
- Department of Midwifery, School of Nursing and Midwifery, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Parvin Ghaem Maghami
- Department of Biostatistics, Medical School, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Zahra Yazdan Panahi
- Maternal-Fetal Medicine Research Center, Department of Midwifery, School of Nursing and Midwifery, Shiraz University of Medical Sciences, Shiraz, Iran.
| |
Collapse
|
32
|
Kawakami S, Okada N, Satomura Y, Shoji E, Mori S, Kiyota M, Omileke F, Hamamoto Y, Morita S, Koshiyama D, Yamagishi M, Sakakibara E, Koike S, Kasai K. Frontal pole-precuneus connectivity is associated with a discrepancy between self-rated and observer-rated depression severity in mood disorders: a resting-state functional magnetic resonance imaging study. Cereb Cortex 2024; 34:bhae284. [PMID: 39049465 PMCID: PMC11269430 DOI: 10.1093/cercor/bhae284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Revised: 06/10/2024] [Accepted: 07/03/2024] [Indexed: 07/27/2024] Open
Abstract
Discrepancies in self-rated and observer-rated depression severity may underlie the basis for biological heterogeneity in depressive disorders and be an important predictor of outcomes and indicators to optimize intervention strategies. However, the neural mechanisms underlying this discrepancy have been understudied. This study aimed to examine the brain networks that represent the neural basis of the discrepancy between self-rated and observer-rated depression severity using resting-state functional MRI. To examine the discrepancy between self-rated and observer-rated depression severity, self- and observer-ratings discrepancy (SOD) was defined, and the higher and lower SOD groups were selected from depressed patients as participants showing extreme deviation. Resting-state functional MRI analysis was performed to examine regions with significant differences in functional connectivity in the two groups. The results showed that, in the higher SOD group compared to the lower SOD group, there was increased functional connectivity between the frontal pole and precuneus, both of which are subregions of the default mode network that have been reported to be associated with ruminative and self-referential thinking. These results provide insight into the association of brain circuitry with discrepancies between self- and observer-rated depression severity and may lead to more treatment-oriented diagnostic reclassification in the future.
Collapse
Affiliation(s)
- Shintaro Kawakami
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Naohiro Okada
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
- The International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo Institutes for Advanced Study (UTIAS), 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Yoshihiro Satomura
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
- Center for Diversity in Medical Education and Research (CDMER), Graduate School of Medicine and Faculty of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Eimu Shoji
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Shunsuke Mori
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Masahiro Kiyota
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Favour Omileke
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Yu Hamamoto
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Susumu Morita
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Daisuke Koshiyama
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Mika Yamagishi
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Eisuke Sakakibara
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Shinsuke Koike
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
- The International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo Institutes for Advanced Study (UTIAS), 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
- University of Tokyo Institute for Diversity & Adaptation of Human Mind (UTIDAHM), 3-8-1 Komaba, Meguro-ku, Tokyo 153-8902, Japan
- Center for Evolutionary Cognitive Sciences, Graduate School of Art and Sciences, The University of Tokyo, 3-8-1 Komaba, Meguro-ku, Tokyo 153-8902, Japan
| | - Kiyoto Kasai
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
- The International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo Institutes for Advanced Study (UTIAS), 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| |
Collapse
|
33
|
Xie Y, Zhu H, Yuan Y, Guan X, Xie Q, Dong Z. Baseline gut microbiota profiles affect treatment response in patients with depression. Front Microbiol 2024; 15:1429116. [PMID: 39021622 PMCID: PMC11251908 DOI: 10.3389/fmicb.2024.1429116] [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: 05/07/2024] [Accepted: 06/20/2024] [Indexed: 07/20/2024] Open
Abstract
The role of the gut microbiota in the pathophysiology of depression has been explored in numerous studies, which have confirmed that the baseline gut microbial profiles of patients with depression differ from those of healthy individuals. The gut microbiome affects metabolic activity in the immune and central nervous systems and regulates intestinal ecology through the neuroendocrine system. Additionally, baseline changes in the gut microbiota differed among patients with depression who demonstrated varying treatment response. Currently, probiotics are an emerging treatment for depression; however, the efficacy of modulating the gut microbiota in the treatment of depression remains uncertain. Additionally, the mechanisms by which changes in the gut microbiota affect treatment response in patients with depression remain unclear. In this review, we aimed to summarize the differences in the baseline gut microbiota between the remission and non-remission groups after antidepressant therapy. Additionally, we summarized the possible mechanisms that may contribute to antidepressant resistance through the effects of the gut microbiome on the immune and nervous systems, various enzymes, bioaccumulation, and blood-brain barrier, and provide a basis for treating depression by targeting the gut microbiota.
Collapse
Affiliation(s)
- Yingjing Xie
- West China Hospital, Sichuan University, Chengdu, China
| | - Hanwen Zhu
- West China Hospital, Sichuan University, Chengdu, China
| | - Yanling Yuan
- Department of Pharmacy, West China Hospital, Sichuan University, Chengdu, China
| | - Xuan Guan
- Chengdu Medical College, Chengdu, China
| | - Qinglian Xie
- Department of Outpatient, West China Hospital, Sichuan University, Chengdu, China
| | - Zaiquan Dong
- Department of Psychiatry and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, China
| |
Collapse
|
34
|
Wu S, Zhong X, Gong Y, Yao Y, Shirai K, Kondo K, Wang X, Guan L, Chen Q, Liu K, Li Y. Depression and the Risk of Dementia and All-Cause Mortality Among Japanese Older Adults: A 9-Year Longitudinal Study From JAGES. J Gerontol B Psychol Sci Soc Sci 2024; 79:gbae084. [PMID: 38778797 DOI: 10.1093/geronb/gbae084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND This study aims to investigate the association and dose-response relationship between depression, dementia, and all-cause mortality based on a national cohort study of older adults in Japan. METHODS We conducted a longitudinal study of 44,546 participants ≥65 years from 2010-2019 Japanese Gerontological Evaluation Study. The Geriatric Depression Scale-15 was used to assess depressive symptoms and the long-term care insurance was used to assess dementia. Fine-Gray models and Cox proportional hazard models were used to explore the effect of depression severity on the incidence of dementia and all-cause mortality, respectively. Causal mediation analysis were used to explore the extent of association between dementia-mediated depression and all-cause mortality. RESULTS We found that both minor and major depressive symptoms were associated with the increased cumulative incidence of dementia and all-cause mortality, especially major depressive symptoms (p < .001). The multivariable-adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for dementia were 1.25 (1.19-1.32) for minor depressive symptoms and 1.42 (1.30-1.54) for major depressive symptoms in comparison to non-depression; p for trend < .001. The multivariable-adjusted HRs and 95% CIs for all-cause mortality were 1.27 (1.21-1.33) for minor depressive symptoms and 1.51 (1.41-1.62) for major depressive symptoms in comparison to non-depression; p for trend < .001. Depression has a stronger impact on dementia and all-cause mortality among the younger group. In addition, dementia significantly mediated the association between depression and all-cause mortality. DISCUSSION Interventions targeting major depression may be an effective strategy for preventing dementia and premature death.
Collapse
Affiliation(s)
- Shan Wu
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Xiangbin Zhong
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Yajie Gong
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Yao Yao
- China Center for Health Development Studies, Peking University, Beijing, China
| | - Kokoro Shirai
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Katsunori Kondo
- Center for Preventive Medical Sciences, Chiba University, Chiba, Japan
- Center for Well-being and Society, Nihon Fukushi University, Aichi, Japan
| | - Xinlei Wang
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Liqi Guan
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Qiqing Chen
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Keyang Liu
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Yuting Li
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| |
Collapse
|
35
|
Hietamies TM, Smith AE, Lii TR, Muzzall E, Flohr J, Okada RL, Andriella ZG, Nyongesa CA, Cianfichi LJ, Hack LM, Heifets BD. Prevalence and characteristics of preoperative patients with depression. Br J Anaesth 2024; 133:77-85. [PMID: 38782617 DOI: 10.1016/j.bja.2024.04.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 04/25/2024] [Accepted: 04/25/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND Within the perioperative period, depression-related diagnoses are associated with postoperative complications. We developed a perioperative depression screening programme to assess disease prevalence and feasibility for intervention. METHODS Adult patients in multiple surgical departments at a single academic centre were screened for depression via the electronic health record patient portal or preoperative anaesthesia clinic before surgery, using the Patient Health Questionnaire (PHQ)-2 and -8. We utilised a broad method, screening all patients, and a focused method, only screening patients with a history of depression. Logistic regression was used to identify characteristics associated with clinically significant depression (PHQ-8 ≥10). Symptomatic patients were administered a brief psychoeducational intervention and referred for mental health services. RESULTS A total of 3735 patients were identified by the broad and focused screens, of whom 2940 (79%) returned PHQ-2 data and were included in analysis. The broad screen (N=1216) found 46 (4%) patients who reported symptoms of moderate or greater severity. The focused screen (N=1724) found 242 (14%) patients with symptoms of moderate or greater severity and over all higher rates of depression across the symptom severity scale. Using the total screened pool, logistic regression identified a history of depression as the strongest associated patient characteristic variable but this did not capture most cases. Finally, we found that 66% of patients who were contacted about mental health services accepted referrals or sought outside care. CONCLUSIONS At least 4% of preoperative patients have clinically significant symptoms of depression, most of whom do not have a chart history of depression.
Collapse
Affiliation(s)
- Tuuli M Hietamies
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Ashleigh E Smith
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Theresa R Lii
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Evan Muzzall
- Software and Services for Data Science, Stanford Libraries, Stanford, CA, USA
| | - Josephine Flohr
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Robin L Okada
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Zachary G Andriella
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Cynthia A Nyongesa
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Lisa J Cianfichi
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Laura M Hack
- Department of Psychiatry and Behavioral Science, Stanford University School of Medicine, Stanford, CA, USA; Sierra Pacific Mental Illness Research, Education, and Clinical Center (MIRECC), VA Palo Alto Health Care System, Palo Alto, CA, USA
| | - Boris D Heifets
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA; Department of Psychiatry and Behavioral Science, Stanford University School of Medicine, Stanford, CA, USA.
| |
Collapse
|
36
|
Ahmed SM, Alzubide AA, Alhozali AM, Mal TW, Fakeeh AS, Aldurayhim IM, Alghamdi AK, Alzahrani NA. Frequency and Determinants of Depression in Hypothyroidism Patients at a Tertiary Care Hospital in the Western Region of Saudi Arabia. SAUDI JOURNAL OF MEDICINE & MEDICAL SCIENCES 2024; 12:259-265. [PMID: 39055073 PMCID: PMC11268540 DOI: 10.4103/sjmms.sjmms_261_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Revised: 11/14/2023] [Accepted: 03/26/2024] [Indexed: 07/27/2024]
Abstract
Background Several studies have reported a strong association between depression and hypothyroidism, including from several regions of Saudi Arabia. However, studies on the frequency of depression among patients with hypothyroidism from the Western region of Saudi Arabia is limited. Objectives To determine the frequency and risk factors of depression among patients with hypothyroidism in the Western Region of Saudi Arabia. Materials and Methods This cross-sectional study was conducted at a tertiary care hospital in Jeddah, Saudi Arabia, and included adult patients diagnosed with hypothyroidism. After contacting the patients through phone calls and obtaining their consent, a questionnaire weblink was sent. The first part of the questionnaire elicited details regarding demographics and history of hypothyroidism, while the second part comprised the Arabic version of the Patient Health Questionnaire-9 to evaluate depression. Results A total of 100 patients completed the survey, of which 80% were found to have depression (mild: 35%, moderate: 26%, moderate to severe: 12, severe: 7%). There was no significant association between depression and gender, age group, employment status, and marital status. In the bivariate analysis, a significant association was found between depression and reporting fatigue (P < 0.001), constipation (P < 0.001), hair loss (P = 0.002), cold intolerance (P = 0.014), dry skin (P = 0.028), memory problems (P = 0.029), and menorrhagia (P = 0.037). However, in the multivariate analysis, only reporting fatigue was found to be significantly associated with depression (P = 0.040; OR = 15.215). Conclusion This study found that the prevalence of depression was very high among patients with hypothyroidism in the Western region of Saudi Arabia, and that fatigue is an independent risk factor of depression.
Collapse
Affiliation(s)
- Samraa M. Ahmed
- Department of Medicine, Psychiatry Division, King Abdulaziz University Hospital, Jeddah, Saudi Arabia
| | | | - Amani M. Alhozali
- Department of Medicine, King Abdulaziz University Hospital, Jeddah, Saudi Arabia
| | - Turky W. Mal
- Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Amro S. Fakeeh
- Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
| | | | | | | |
Collapse
|
37
|
Mizumoto T, Ikei H, Hagiwara K, Matsubara T, Higuchi F, Kobayashi M, Yamashina T, Sasaki J, Yamada N, Higuchi N, Haraga K, Kirihara F, Okabe E, Asai K, Hirotsu M, Chen C, Miyazaki Y, Nakagawa S. Mood and physiological effects of visual stimulation with images of the natural environment in individuals with depressive and anxiety disorders. J Affect Disord 2024; 356:257-266. [PMID: 38588725 DOI: 10.1016/j.jad.2024.04.025] [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: 12/07/2023] [Revised: 04/02/2024] [Accepted: 04/05/2024] [Indexed: 04/10/2024]
Abstract
BACKGROUND Nature therapies are gaining attention as non-pharmacological treatments for depressive and anxiety disorders, but research on their effectiveness in patients is limited. This study investigates the mood-improving effects of visual stimulation with natural environmental images in patients with depressive and anxiety disorders. METHODS We conducted a randomized crossover comparison trial involving 60 right-handed adult participants with depressive or anxiety disorders and receiving outpatient treatment. Visual stimuli of natural environments consisted of green-themed nature images, while the control stimuli featured urban scenes dominated by buildings. The stimulation lasted for 3 min, during which orbital prefrontal brain activity was measured using a 2-channel Near-infrared Spectroscopy (NIRS) system, and heart rate variability was assessed using fingertip accelerated plethysmography. RESULTS Mood enhancement effects were observed in both the depressive and anxiety disorder groups following visual stimulation with nature images. In the depression group, orbital prefrontal oxygenated hemoglobin concentration significantly increased after visual stimulation with nature images, while there were no significant changes in the anxiety group. However, in the anxiety group, a correlation was found between reduced orbital prefrontal oxygenated hemoglobin in response to nature images and increased mood-enhancement. Furthermore, the severity of depressive symptoms did not significantly affect the intervention effects, whereas heightened anxiety symptoms was associated with a smaller mood enhancement effect. DISCUSSION Our study demonstrates the benefits of nature image stimulation for patients with depressive and anxiety disorders. Differential orbital prefrontal brain activity impacts notwithstanding, both conditions exhibited mood enhancement, affirming the value of nature image stimulation.
Collapse
Affiliation(s)
- Tomohiro Mizumoto
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Harumi Ikei
- Center for Environment, Health and Field Sciences, Chiba University, Chiba, Japan
| | - Kosuke Hagiwara
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Toshio Matsubara
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Fumihiro Higuchi
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Masaaki Kobayashi
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Takahiro Yamashina
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Jun Sasaki
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan; Koryo Hospital, Ube, Japan
| | - Norihiro Yamada
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Naoko Higuchi
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Kenichi Haraga
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Fumiaki Kirihara
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Emi Okabe
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Kumi Asai
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Masako Hirotsu
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Chong Chen
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan.
| | - Yoshifumi Miyazaki
- Center for Environment, Health and Field Sciences, Chiba University, Chiba, Japan
| | - Shin Nakagawa
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| |
Collapse
|
38
|
Lin CC, Huang YC, Lee Y, Lin PY, Chiu NM, Hung CF, Wang LJ. Suicide risks among caregivers of patients with depressive disorders. J Int Med Res 2024; 52:3000605241266226. [PMID: 39075852 PMCID: PMC11289805 DOI: 10.1177/03000605241266226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Accepted: 06/10/2024] [Indexed: 07/31/2024] Open
Abstract
OBJECTIVE To investigate the suicide risk factors among caregivers of individuals with depression who may develop suicidal ideation due to the ongoing challenges of managing the patient's mood fluctuations. METHODS This cross-sectional study enrolled dyads of patients with depression and their caregivers from a medical centre. The assessment included a psychiatric diagnostic interview, the Hospital Anxiety and Depression Scale, the List of Threatening Experiences, Benefit Finding Scale, Numerical Pain Rating Scale, Stigma Subscale of the Explanatory Model Interview Catalogue, Big Five Inventory-10, the Family APGAR Index and the Suicide Assessment Scale. Univariate and multivariate regression analysis were used to explore the interrelationship between the mental health of patients and caregivers. RESULTS Among the 125 caregivers, 60.0% (n = 75) were females. The most common psychiatric diagnoses were depressive disorders (33 of 125; 26.4%), followed by anxiety disorders (21 of 125; 16.8%) and insomnia disorder (19 of 125; 15.2%). There was a significant association between the stressful life events of depressive patients and the suicide risk of their caregivers. The severity of anxiety and depression in caregivers was significantly associated with the suicide risk among the caregivers. CONCLUSION A relationship may exist between the psychological well-being of patients with depression and their caregivers.
Collapse
Affiliation(s)
- Chia-Chi Lin
- Department of Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung
| | - Yu-Chi Huang
- Department of Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung
| | - Yu Lee
- Department of Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung
| | - Pao-Yen Lin
- Department of Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung
| | - Nien-Mu Chiu
- Department of Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung
| | - Chi-Fa Hung
- Department of Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung
| | - Liang-Jen Wang
- Department of Child and Adolescent Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung
| |
Collapse
|
39
|
Liu Q, Teng CC, Sun I, Muñoz RF, Garza M, Liu NH, Barakat S, Leykin Y. Suicide attempts in the absence of depression: Differences between broad cultural groups. J Affect Disord 2024; 356:722-727. [PMID: 38657769 DOI: 10.1016/j.jad.2024.04.087] [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: 12/25/2023] [Revised: 04/10/2024] [Accepted: 04/21/2024] [Indexed: 04/26/2024]
Abstract
Suicide is one of the leading causes of death worldwide (WHO, 2021). Depression is a common precursor to suicide and suicidality; however, individuals' experience of depression and the meaning of suicide differs depending on one's cultural background (Colucci, 2013; Goodmann et al., 2021; Kleinman, 2004). The current study explores the relationship between suicide and depression among six broad cultural groups in a large sample (N = 17,015) of adults representing six broad cultural groups (Latin America, South Asia, former Soviet Bloc, Western English-speakers, Chinese, and Arab World). Participants were recruited to a multilingual depression and suicide screening study via Google Ads (Leykin et al., 2012; Gross et al., 2014). As expected, the presence of depression was associated with suicide attempts. However, cultural group moderated this association, with Chinese participants being most likely to report suicide attempts while screening negative for depression. Although depression remains an important predictor of suicidality, it appears that certain cultural groups may be at higher risk even when depression is not present. Clinicians should consider using culturally adapted assessments for depression and suicidality.
Collapse
Affiliation(s)
| | | | | | - Ricardo F Muñoz
- Palo Alto University; University of California, San Francisco, United States of America; Institute for International Internet Interventions for Health, United States of America
| | - Monica Garza
- Legacy Community Health, United States of America
| | - Nancy H Liu
- University of California, Berkeley, United States of America
| | - Suzanne Barakat
- University of California, San Francisco, United States of America
| | - Yan Leykin
- Palo Alto University; University of California, San Francisco, United States of America; Institute for International Internet Interventions for Health, United States of America.
| |
Collapse
|
40
|
Kang J, Castro VM, Ripperger M, Venkatesh S, Burstein D, Linnér RK, Rocha DB, Hu Y, Wilimitis D, Morley T, Han L, Kim RY, Feng YCA, Ge T, Heckers S, Voloudakis G, Chabris C, Roussos P, McCoy TH, Walsh CG, Perlis RH, Ruderfer DM. Genome-Wide Association Study of Treatment-Resistant Depression: Shared Biology With Metabolic Traits. Am J Psychiatry 2024; 181:608-619. [PMID: 38745458 DOI: 10.1176/appi.ajp.20230247] [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] [Indexed: 05/16/2024]
Abstract
OBJECTIVE Treatment-resistant depression (TRD) occurs in roughly one-third of all individuals with major depressive disorder (MDD). Although research has suggested a significant common variant genetic component of liability to TRD, with heritability estimated at 8% when compared with non-treatment-resistant MDD, no replicated genetic loci have been identified, and the genetic architecture of TRD remains unclear. A key barrier to this work has been the paucity of adequately powered cohorts for investigation, largely because of the challenge in prospectively investigating this phenotype. The objective of this study was to perform a well-powered genetic study of TRD. METHODS Using receipt of electroconvulsive therapy (ECT) as a surrogate for TRD, the authors applied standard machine learning methods to electronic health record data to derive predicted probabilities of receiving ECT. These probabilities were then applied as a quantitative trait in a genome-wide association study of 154,433 genotyped patients across four large biobanks. RESULTS Heritability estimates ranged from 2% to 4.2%, and significant genetic overlap was observed with cognition, attention deficit hyperactivity disorder, schizophrenia, alcohol and smoking traits, and body mass index. Two genome-wide significant loci were identified, both previously implicated in metabolic traits, suggesting shared biology and potential pharmacological implications. CONCLUSIONS This work provides support for the utility of estimation of disease probability for genomic investigation and provides insights into the genetic architecture and biology of TRD.
Collapse
Affiliation(s)
- JooEun Kang
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Victor M Castro
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Michael Ripperger
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Sanan Venkatesh
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - David Burstein
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Richard Karlsson Linnér
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Daniel B Rocha
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Yirui Hu
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Drew Wilimitis
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Theodore Morley
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Lide Han
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Rachel Youngjung Kim
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Yen-Chen Anne Feng
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Tian Ge
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Stephan Heckers
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Georgios Voloudakis
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Christopher Chabris
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Panos Roussos
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Thomas H McCoy
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Colin G Walsh
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Roy H Perlis
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Douglas M Ruderfer
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| |
Collapse
|
41
|
Hu X, Guo C. Temporal trends and cohort variations of gender-specific major depressive disorders incidence in China: analysis based on the age-period-cohort-interaction model. Gen Psychiatr 2024; 37:e101479. [PMID: 38962431 PMCID: PMC11217997 DOI: 10.1136/gpsych-2023-101479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Accepted: 05/26/2024] [Indexed: 07/05/2024] Open
Abstract
Background Major depressive disorders (MDDs) impose substantial burdens on individuals and society; however, further detailed analysis is still needed for its long-term trends. Aims This study aimed to analyse the gender-specific temporal trends and cohort variations of MDD incidence among Chinese residents over the past three decades. Methods Employing the age-period-cohort-interaction model and leveraging data from the Global Burden of Disease Study 2019, this research identified and analysed incidence trends of MDD among Chinese males and females aged 5-94 years from 1990 to 2019 across three dimensions, encompassing age, period and birth cohort. Results The analysis reveals age-related effects, indicating heightened MDD risk among adolescents and older adults. Specifically, individuals entering the older adulthood at the age of 65-69 significantly increased the risk of MDD by 64.9%. People aged 90-94 years witnessed a 105.4% increase in MDD risk for the overall population, with females and males in this age group experiencing a 75.1% and 103.4% increase, respectively. In terms of period effects, the risk of MDD displayed a decline from 1990 to 1994, followed by a rebound in 2008. Cohort effects demonstrated diverse generational patterns, with generation I and generation III manifesting opposing 'age-as-level' trends. Generation II and generation IV exhibited 'cumulative disadvantage' and 'cumulative advantage' patterns, respectively. Age effects indicated an overall higher risk of MDD incidence in females, while cohort effects showed greater variations of MDD incidence among females. Conclusions The study underscores the substantial effects of age, period and cohort on MDD across genders in China. Priority interventions targeting vulnerable populations, including children, adolescents, older adults, females and the post-millennium birth cohort, are crucial to mitigate the impact of MDD.
Collapse
Affiliation(s)
- Xiyuan Hu
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Institute of Population Research, Peking University, Beijing, China
| | - Chao Guo
- Institute of Population Research, Peking University, Beijing, China
- APEC Health Science Academy (HeSAY), Peking University, Beijing, China
| |
Collapse
|
42
|
Miron S, Kalanthroff E. Negative emotional cues improve free recall of positive and neutral words in unmedicated patients with major depressive disorder. Cogn Behav Ther 2024; 53:409-422. [PMID: 38477620 DOI: 10.1080/16506073.2024.2328288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 03/04/2024] [Indexed: 03/14/2024]
Abstract
Individuals with major depressive disorder (MDD) exhibit attentional biases toward negative, mood-congruent stimuli while filtering out positive and neutral stimuli, resulting in memory biases to negative content. While attentional and memory biases in MDD have been extensively studied, the underlying mechanisms of these biases remain unclear. The current study investigates a novel model proposing that exposure to negative emotional cues triggers a transient "attentional window" in individuals with MDD, leading to heightened and deeper cognitive processing of any subsequent information, irrespective of its content. Forty-two unmedicated patients with MDD and no comorbid disorder and 41 healthy controls, completed six blocks of the emotional memory task, in which they were asked to watch a short video (negative, neutral, or positive valence) followed by a memory test on a list of neutral or positive valance words. Results indicated that participants with MDD, but not healthy controls, had better recall performance after a negative video compared to after neutral or positive videos, and that this effect occurred for both neutral and positive word-lists. These findings provide evidence that participants with MDD engage in deeper information processing following exposure to negative emotional stimuli. Potential clinical implications are discussed.
Collapse
Affiliation(s)
- Sapir Miron
- Department of Psychology, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Eyal Kalanthroff
- Department of Psychology, The Hebrew University of Jerusalem, Jerusalem, Israel
| |
Collapse
|
43
|
Xu L, Wang S, Wu L, Cao H, Fan Y, Wang X, Yu Z, Zhou M, Gao R, Wang J. Coprococcus eutactus screened from healthy adolescent attenuates chronic restraint stress-induced depression-like changes in adolescent mice: Potential roles in the microbiome and neurotransmitter modulation. J Affect Disord 2024; 356:737-752. [PMID: 38649105 DOI: 10.1016/j.jad.2024.04.050] [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: 09/19/2023] [Revised: 02/20/2024] [Accepted: 04/11/2024] [Indexed: 04/25/2024]
Abstract
The onset of depression commonly occurs in adolescence; therefore, depressive prevention and intervention are pivotal during this period. It is becoming evident that neurotransmitter imbalance and gut microbiota dysbiosis are prominent causes of depression. However, the underlying links and mechanisms remain poorly understood. In this study, with 16S ribosomal RNA gene sequencing, genus Coprococcus markedly differentiated between the healthy and unmedicated depressive adolescents. Based on this, transplantation of Coprococcus eutactus (C.e.) was found to dramatically ameliorate the chronic restraint stress (CRS) induced depression-like changes and prevent synaptic loss and glial-stimulated neuroinflammation in mice. The Ultra-high performance liquid chromatography tandem mass spectrometry analysis (UHPLC-MS/MS) further showed that neurotoxic neurotransmitters in kynurenine pathway (KP) such as 3-hydroxykynurenine (3-HK) and 3-hydroxyanthranilic acid (3-HAA) decreased in mouse brains, mechanistically deciphering the transfer of the tryptophan metabolic pathway to serotonin metabolic signaling in the brain after C.e. treatment, which was also verified in the colon. Molecularly, blockage of KP activities mediated by C.e. was ascribed to the restraint of the limit-step enzymes responsible for kynurenine, 3-HK, and quinolinic acid generation. In the colon, C.e. treatment significantly recovered goblet cells and mucus secretion in CRS mice which may ascribe to the rebalance of the disordered gut microbiota, especially Akkermansia, Roseburia, Rikenella, Blautia, and Alloprevotella. Taken together, the current study reveals for the first time the beneficial effects and potential mechanisms of C.e. in ameliorating CRS-induced depression, unraveling the direct links between C.e. treatment and neurotransmitter rebalance, which may provide efficacious therapeutic avenues for adolescent depressive intervention.
Collapse
Affiliation(s)
- Liuting Xu
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China; Department of Hygienic Analysis and Detection, The Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Sizhe Wang
- Department of Hygienic Analysis and Detection, The Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Linlin Wu
- Department of Physical and Chemical Inspection, The Affiliated Wuxi Center for Disease Control and Prevention of Nanjing Medical University, Wuxi Center for Disease Control and Prevention, Wuxi, China
| | - Hui Cao
- Department of Hygienic Analysis and Detection, Nanjing Qixia District Center for Disease Control and Prevention, Nanjing, China
| | - Yichun Fan
- Department of Hygienic Analysis and Detection, The Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Xi Wang
- Department of Hygienic Analysis and Detection, The Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Zheng Yu
- Department of Hygienic Analysis and Detection, The Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Manfei Zhou
- Department of Hygienic Analysis and Detection, The Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Rong Gao
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China; Department of Hygienic Analysis and Detection, The Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, China.
| | - Jun Wang
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China; Department of Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, China.
| |
Collapse
|
44
|
Yang Z, Lv T, Jin L, Lv X, Zhu X, Wang X, Zhang L, Tu C, Chen S, Yan X. The relationship between obstructive sleep apnea and osteoarthritis: evidence from an observational and Mendelian randomization study. Front Neurol 2024; 15:1425327. [PMID: 39006235 PMCID: PMC11239388 DOI: 10.3389/fneur.2024.1425327] [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: 04/29/2024] [Accepted: 06/12/2024] [Indexed: 07/16/2024] Open
Abstract
Objectives Obstructive sleep apnea (OSA) and osteoarthritis (OA) are common comorbidities that significantly impact individuals' quality of life. However, the relationship between OSA and OA remains unclear. This study aims to explore the connection between OSA and OA and evaluate causality using Mendelian randomization (MR). Methods A total of 12,454 participants from the National Health and Nutrition Examination Survey (2009-2012) were included. OSA participants were identified based on self-reported interviews. The association between OA and OSA was assessed through multivariable logistic regression analysis. A two-sample MR was employed to investigate the relationship between OSA and OA, specifically hip OA and knee OA, utilizing the inverse variance-weighted (IVW) approach. Results Based on the observational study, individuals with OSA exhibited a higher risk of OA (OR = 1.67, 95% CI = 1.40-1.98). IVW demonstrated that the risk of OA (OR = 1.13, 95% CI: 1.05-1.21, p = 0.001), hip OA (OR = 1.11, 95% CI: 1.04-1.18, p = 0.002), and knee OA (OR = 1.08, 95% CI: 1.02-1.14, p = 0.005) was significantly associated with OSA. Reverse MR analyses indicated no effect of OA on OSA. Additionally, body mass index (BMI) was found to mediate 36.9% (95% CI, 4.64-73.2%, p = 0.026) of the OSA effects on OA risk. Conclusion The cross-sectional observational analysis unveiled noteworthy associations between OSA and OA. Meanwhile, findings from the MR study provide support for a causal role.
Collapse
Affiliation(s)
- Zhe Yang
- Nursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Tian Lv
- Department of Neurology, Zhuji Affiliated Hospital of Wenzhou Medical University, Zhuji, China
| | - Linna Jin
- Nursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaoheng Lv
- Nursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaoying Zhu
- Nursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaoling Wang
- Department of Neurology, Sir Run Run Shaw Hospital, Affiliated with School of Medicine, Zhejiang University, Hangzhou, China
| | - Lisan Zhang
- Department of Neurology, Sir Run Run Shaw Hospital, Affiliated with School of Medicine, Zhejiang University, Hangzhou, China
| | - Chenghan Tu
- Medical College, Shaoxing University, Shaoxing, China
| | - Shiqin Chen
- Department of Neurology, Second People’s Hospital of Yuhuan, Yuhuan, China
| | - Xiongwei Yan
- Department of Orthopedic Surgery, Second People’s Hospital of Yuhuan, Yuhuan, China
| |
Collapse
|
45
|
Gammoh O, Al-Ameri M, Altaani G, Al-smadi A, Al-Zegoul R, Massad T, Klaib AF, Alsous M, Binsaleh AY, Shilbayeh SAR. The Risk of Severe Fibromyalgia, Depression, Anxiety, and Insomnia Symptoms in Arab Women: An Implication of Self-Medication with Analgesics? A Cross-Sectional Study. MEDICINA (KAUNAS, LITHUANIA) 2024; 60:1065. [PMID: 39064494 PMCID: PMC11278719 DOI: 10.3390/medicina60071065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/09/2024] [Revised: 06/25/2024] [Accepted: 06/26/2024] [Indexed: 07/28/2024]
Abstract
Background and Objectives: The investigation of the psychosomatic symptoms in women residing in developing countries is still emerging. To be precise, the prevalence and correlates of severe fibromyalgia, depression, anxiety, and insomnia are understudied in Arab women, as these symptoms could relate to improper self-medication. This study mainly investigated the association between self-medication with analgesics and fibromyalgia, depression, anxiety, and insomnia symptoms among a community-based cohort of females in Jordan. Materials and Methods: We used a web-based cross-sectional study design. Fibromyalgia, depression, anxiety, and insomnia were assessed using validated scales. The used over-the-counter (OTC) painkillers were recorded. Results: Data were analyzed from 741 women, and fibromyalgia was screened in 16.4%, depression in 37.4%, anxiety in 27.8%, and insomnia in 38.3%. Fibromyalgia was associated with "married" (OR = 1.5, 95% CI = 1.017-2.305), "using OTC acetaminophen" (OR = 1.75, 95% CI = 1.15-2.69), "using herbal remedies" (OR = 2.02, 95% CI = 1.33-3.07), and "using antiseizure medications" (OR = 2.43, 95% CI = 1.38-4.28). Severe depression was significantly associated with "age" (OR = 0.97, 95% CI = 0.96-0.99), "high school education" (OR = 1.90, 95% CI = 1.21-2.98), "smoking" (OR = 1.72, 95% CI = 1.15-2.56), "OTC acetaminophen" (OR = 1.40, 95% CI = 1.02-1.92), "OTC non-steroidal anti-inflammatory drugs" (OR = 1.75, 95% CI = 1.15-2.65), and "antiseizures" (OR = 2.19, 95% CI = 1.30-3.70). Severe anxiety was significantly associated with "smoking" (OR = 2.08, 95% CI = 1.40-3.12), "OTC acetaminophen" (OR = 1.48, 95% CI = 1.06-2.06), and "antiseizure medications" (OR = 2.04, 95% CI = 1.22-3.41). Severe insomnia was significantly associated with "age" (OR = 0.98, 95% CI = 0.96-0.99), "high school education" (OR = 1.58, 95% CI = 1.01-2.47), "smoking" (OR = 1.51, 95% CI = 1.01-2.25), "OTC non-steroidal anti-inflammatory drugs" (OR = 1.74, 95% CI = 1.13-2.64), "antiseizure medications" (OR = 1.84, 95% CI = 1.09-3.11), and "No analgesics" (OR = 0.48, 95% CI = 0.32-0.71). Conclusions: Self-medication with analgesics is associated with a high burden of psychosomatic symptoms in Arab women, and awareness campaigns are required to guide self-medication behavior.
Collapse
Affiliation(s)
- Omar Gammoh
- Department of Clinical Pharmacy and Pharmacy Practice, Faculty of Pharmacy, Yarmouk University, Irbid 21163, Jordan; (M.A.-A.); (G.A.); (M.A.)
| | - Mariam Al-Ameri
- Department of Clinical Pharmacy and Pharmacy Practice, Faculty of Pharmacy, Yarmouk University, Irbid 21163, Jordan; (M.A.-A.); (G.A.); (M.A.)
| | - Ghaith Altaani
- Department of Clinical Pharmacy and Pharmacy Practice, Faculty of Pharmacy, Yarmouk University, Irbid 21163, Jordan; (M.A.-A.); (G.A.); (M.A.)
| | - Ahmed Al-smadi
- Faculty of Nursing, Al al-Bayt University, Mafraq 25113, Jordan; (A.A.-s.); (R.A.-Z.)
| | - Reham Al-Zegoul
- Faculty of Nursing, Al al-Bayt University, Mafraq 25113, Jordan; (A.A.-s.); (R.A.-Z.)
| | - Talal Massad
- Faculty of Medicine, The University of Jordan, Amman 11942, Jordan;
| | - Ahmad F. Klaib
- Information Systems Department, Faculty of Information Technology and Computer Science, Yarmouk University, Irbid 21163, Jordan;
- Software Engineering Department, King Hussein School of Computing Sciences, Princess Sumaya University for Technology, Amman 11941, Jordan
| | - Mervat Alsous
- Department of Clinical Pharmacy and Pharmacy Practice, Faculty of Pharmacy, Yarmouk University, Irbid 21163, Jordan; (M.A.-A.); (G.A.); (M.A.)
| | - Ammena Y. Binsaleh
- Department of Pharmacy Practice, College of Pharmacy, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia; (A.Y.B.); (S.A.R.S.)
| | - Sireen Abdul Rahim Shilbayeh
- Department of Pharmacy Practice, College of Pharmacy, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia; (A.Y.B.); (S.A.R.S.)
| |
Collapse
|
46
|
Zhou X, Ganz AB, Rayner A, Cheng TY, Oba H, Rolnik B, Lancaster S, Lu X, Li Y, Johnson JS, Hoyd R, Spakowicz DJ, Slavich GM, Snyder MP. Dynamic Human Gut Microbiome and Immune Shifts During an Immersive Psychosocial Therapeutic Program. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.26.600881. [PMID: 38979211 PMCID: PMC11230355 DOI: 10.1101/2024.06.26.600881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
Background Depression is a leading cause of disability worldwide yet its underlying factors, particularly microbial associations, are poorly understood. Methods We examined the longitudinal interplay between the microbiome and immune system in the context of depression during an immersive psychosocial intervention. 142 multi-omics samples were collected from 52 well-characterized participants before, during, and three months after a nine-day inquiry-based stress reduction program. Results We found that depression was associated with both an increased presence of putatively pathogenic bacteria and reduced microbial beta-diversity. Following the intervention, we observed reductions in neuroinflammatory cytokines and improvements in several mental health indicators. Interestingly, participants with a Prevotella-dominant microbiome showed milder symptoms when depressed, along with a more resilient microbiome and more favorable inflammatory cytokine profile, including reduced levels of CXCL-1. Conclusions Our findings reveal a protective link between the Prevotella-dominant microbiome and depression, associated with a less inflammatory environment and moderated symptoms. These insights, coupled with observed improvements in neuroinflammatory markers and mental health from the intervention, highlight potential avenues for microbiome-targeted therapies in depression management.
Collapse
Affiliation(s)
- Xin Zhou
- Department of Genetics, Stanford University School of Medicine, CA, USA
- Stanford Center for Genomics and Personalized Medicine, Stanford university School of Medicine, CA, USA
- These authors contributed equally to the work
| | - Ariel B. Ganz
- Department of Genetics, Stanford University School of Medicine, CA, USA
- Stanford Healthcare Innovation Lab, Stanford University, CA, USA
- These authors contributed equally to the work
| | - Andre Rayner
- Department of Genetics, Stanford University School of Medicine, CA, USA
| | - Tess Yan Cheng
- Department of Genetics, Stanford University School of Medicine, CA, USA
- Department of Microbiology, College of Arts and Sciences, University of Washington, WA, USA
| | - Haley Oba
- Department of Genetics, Stanford University School of Medicine, CA, USA
| | - Benjamin Rolnik
- Department of Genetics, Stanford University School of Medicine, CA, USA
- Stanford Healthcare Innovation Lab, Stanford University, CA, USA
| | - Samuel Lancaster
- Department of Genetics, Stanford University School of Medicine, CA, USA
| | - Xinrui Lu
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Sichuan, China
| | - Yizhou Li
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Sichuan, China
| | - Jethro S. Johnson
- Oxford Centre for Microbiome Studies, Kennedy Institute of Rheumatology, University of Oxford, Oxford, UK
| | - Rebecca Hoyd
- The Ohio State University Comprehensive Cancer Center, OH, USA
| | | | - George M. Slavich
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Michael P. Snyder
- Department of Genetics, Stanford University School of Medicine, CA, USA
- Stanford Center for Genomics and Personalized Medicine, Stanford university School of Medicine, CA, USA
- Stanford Healthcare Innovation Lab, Stanford University, CA, USA
| |
Collapse
|
47
|
Jahan-Mihan A, Stevens P, Medero-Alfonso S, Brace G, Overby LK, Berg K, Labyak C. The Role of Water-Soluble Vitamins and Vitamin D in Prevention and Treatment of Depression and Seasonal Affective Disorder in Adults. Nutrients 2024; 16:1902. [PMID: 38931257 PMCID: PMC11206829 DOI: 10.3390/nu16121902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2024] [Revised: 06/07/2024] [Accepted: 06/11/2024] [Indexed: 06/28/2024] Open
Abstract
Depression is a major global health concern expected to worsen by 2030. In 2019, 28 million individuals were affected by depressive disorders. Dietary and supplemental vitamins show overall favorable preventative and therapeutic effects on depression. B vitamins are crucial for neurological function and mood regulation. Deficiencies in these vitamins are linked to depression. Studies on individual B vitamins show promise in improving depressive symptoms, particularly thiamin, riboflavin, niacin, and folate. Vitamin C deficiency may heighten depressive symptoms, but its exact role is not fully understood. Seasonal Affective Disorder (SAD) is associated with insufficient sunlight exposure and vitamin D deficiency. Vitamin D supplementation for SAD shows inconsistent results due to methodological variations. Further investigation is needed to understand the mechanisms of vitamins in depression treatment. Moreover, more research on SAD and light therapy's efficacy and underlying mechanisms involving photoreceptors, enzymes, and immune markers is needed. Although dietary and supplemental vitamins show overall favorable preventative and therapeutic effects on depression, dietitians treating psychiatric disorders face challenges due to diverse study designs, making direct comparisons difficult. Therefore, this article reviews the current literature to assess the role of dietary and supplemental vitamins in the prevention and treatment of depression. This review found that, although evidence supports the role of B vitamins and vitamins C and D in preventing and treating depression, further research is needed to clarify their mechanisms of action and determine the most effective intervention strategies.
Collapse
Affiliation(s)
- Alireza Jahan-Mihan
- Department of Nutrition and Dietetics, University of North Florida, 1 UNF Dr., Jacksonville, FL 32224, USA; (P.S.); (S.M.-A.); (G.B.); (L.K.O.); (K.B.); (C.L.)
| | | | | | | | | | | | | |
Collapse
|
48
|
Hou X, Liu R, Zhou Y, Guan L, Zhou J, Liu J, Liu M, Yuan X, Feng Y, Chen X, Yu A. Shared and unique alterations of large-scale network connectivity in drug-free adolescent-onset and adult-onset major depressive disorder. Transl Psychiatry 2024; 14:255. [PMID: 38866779 PMCID: PMC11169372 DOI: 10.1038/s41398-024-02974-0] [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: 01/01/2024] [Revised: 05/22/2024] [Accepted: 06/03/2024] [Indexed: 06/14/2024] Open
Abstract
Differences in clinical manifestations and biological underpinnings between Major Depressive Disorder (MDD) onset during adolescence and adulthood have been posited in previous studies, implying an influential role of age of onset (AOO) in the clinical subtyping and therapeutic approaches to MDD. However, direct comparisons between the two cohorts and their age-matched controls have been lacking in extant investigations. In this investigation, 156 volunteers participated, comprising 46 adolescents with MDD (adolescent-onset group), 35 adults with MDD (adult-onset group), 19 healthy adolescents, and 56 healthy adults. Resting-state functional MRI scans were undergone by all participants. Large-scale network analyses were applied. Subsequently, a 2 × 2 ANOVA was employed to analyze the main effects of diagnosis, age, and their interaction effect on functional connectivity (FC). Furthermore, regression analysis was employed to scrutinize the association between anomalous FC and HAMD sub-scores. Increased FC in visual network (VN), limbic network (LN), VN-dorsal attention network (DAN), VN-LN, and LN-Default Mode (DMN) was found in both adolescent-onset and adult-onset MDD; however, the increased FC in DAN and LN were only found in adult-onset MDD and the decreased FC in DAN was only found in adolescent-onset MDD. Additionally, the relationship between HAMD factor 1 anxiety somatization and altered FC of DAN, VN, and VN-DAN was moderated by AOO. In conclusion, shared and distinctive large-scale network alterations in adolescent-onset and adult-onset MDD patients were suggested by our findings, providing valuable contributions towards refining clinical subtyping and treatment approaches for MDD.
Collapse
Affiliation(s)
- Ximan Hou
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
- Department of Radiology, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Rui Liu
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Yuan Zhou
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Lin Guan
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Jingjing Zhou
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Jing Liu
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Mengqi Liu
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Xiaofei Yuan
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Yuan Feng
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Xu Chen
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
| | - Aihong Yu
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
- Department of Radiology, Beijing Anding Hospital, Capital Medical University, Beijing, China.
| |
Collapse
|
49
|
Zeng N, Li C, Mei H, Wu S, Liu C, Wang X, Shi J, Lu L, Bao Y. Bidirectional Association between Sarcopenia and Depressive Symptoms among Chinese Middle- and Older-Aged Adults: Longitudinal Observational Study. Brain Sci 2024; 14:593. [PMID: 38928593 PMCID: PMC11201564 DOI: 10.3390/brainsci14060593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Revised: 05/20/2024] [Accepted: 05/23/2024] [Indexed: 06/28/2024] Open
Abstract
BACKGROUND The study aimed to examine the bidirectional relationship between sarcopenia and depressive symptoms in a national, community-based cohort study, despite the unclear temporal sequence demonstrated previously. METHODS Data were derived from four waves (2011 baseline and 2013, 2015, and 2018 follow-ups) of the China Health and Retirement Longitudinal Study (CHARLS). A total of 17,708 participants aged 45 years or older who had baseline data on both sarcopenia status and depressive symptoms in 2011 were included in the study. For the two cohort analyses, a total of 8092 adults without depressive symptoms and 11,292 participants without sarcopenia in 2011 were included. Sarcopenia status was defined according to the Asian Working Group for Sarcopenia 2019 (AWGS 2019) criteria. Depressive symptoms were defined as a score of 20 or higher on the 10-item Center for Epidemiologic Studies Depressive Scale (CES-D-10). Cox proportional hazard regression models were conducted to examine the risk of depressive symptoms and sarcopenia risk, while cross-lagged panel models were used to examine the temporal sequence between depressive symptoms and sarcopenia over time. RESULTS During a total of 48,305.1 person-years follow-up, 1262 cases of incident depressive symptoms were identified. Sarcopenia exhibited a dose-response relationship with a higher risk of depressive symptoms (HR = 1.7, 95%CI: 1.2-2.3 for sarcopenia, and HR = 1.5, 95%CI: 1.2-1.8 for possible sarcopenia, p trend < 0.001). In the second cohort analysis, 240 incident sarcopenia cases were identified over 39,621.1 person-years. Depressive symptoms (HR = 1.5, 95%CI: 1.2-2.0) are significantly associated with a higher risk of developing sarcopenia after multivariable adjustment (p < 0.001, Cross-lagged panel analyses demonstrated that depressive symptoms were associated with subsequent sarcopenia (β = 0.003, p < 0.001). Simultaneously, baseline sarcopenia was also associated with subsequent depressive symptoms (β = 0.428, p < 0.001). CONCLUSION This study identified a bidirectional relationship between depressive symptoms and sarcopenia. It seems more probable that baseline sarcopenia is associated with subsequent depressive symptoms in a stronger pattern than the reverse pathway. The interlinkage indicated that maintaining normal muscle mass and strength may serve as a crucial intervention strategy for alleviating mood disorders.
Collapse
Affiliation(s)
- Na Zeng
- School of Public Health, Peking University, Beijing 100191, China; (N.Z.); (H.M.); (S.W.); (C.L.); (X.W.)
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing 100191, China;
| | - Chao Li
- Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China;
| | - Huan Mei
- School of Public Health, Peking University, Beijing 100191, China; (N.Z.); (H.M.); (S.W.); (C.L.); (X.W.)
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing 100191, China;
| | - Shuilin Wu
- School of Public Health, Peking University, Beijing 100191, China; (N.Z.); (H.M.); (S.W.); (C.L.); (X.W.)
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing 100191, China;
| | - Chang Liu
- School of Public Health, Peking University, Beijing 100191, China; (N.Z.); (H.M.); (S.W.); (C.L.); (X.W.)
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing 100191, China;
| | - Xiaokun Wang
- School of Public Health, Peking University, Beijing 100191, China; (N.Z.); (H.M.); (S.W.); (C.L.); (X.W.)
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing 100191, China;
| | - Jie Shi
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing 100191, China;
| | - Lin Lu
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing 100191, China;
- National Clinical Research Center for Mental Disorders, Key of Mental Health, Ministry of Health (Peking University), Peking University Institute of Mental Health, Peking University Sixth Hospital, Beijing 100191, China
- Peking-Tsinghua Centre for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100191, China
| | - Yanping Bao
- School of Public Health, Peking University, Beijing 100191, China; (N.Z.); (H.M.); (S.W.); (C.L.); (X.W.)
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing 100191, China;
| |
Collapse
|
50
|
Chen Y, Yang H, Zhang Y, Zhou L, Lin J, Wang Y. Night shift work, genetic risk, and the risk of depression: A prospective cohort study. J Affect Disord 2024; 354:735-742. [PMID: 38548197 DOI: 10.1016/j.jad.2024.03.134] [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: 05/11/2023] [Revised: 03/07/2024] [Accepted: 03/24/2024] [Indexed: 04/01/2024]
Abstract
BACKGROUND Genetic factors and night shift work both contribute to the risk of depression, but whether the association of night shift work with depression varies by genetic predisposition remains unclear. OBJECTIVES To assess whether night shift work is associated with a higher risk of depression regardless of genetic predisposition. METHODS We used data from the UK biobank of 247,828 adults aged 38-71 free of depression at baseline from March 13, 2006, to October 1, 2010. Genetic predisposition to depression was assessed using polygenic risk scores (PRS) weighted sums of genetic variant indicator variables and classified as low (lowest tertile), intermediate (tertile 2), and high (highest tertile). Night shift work exposures were collected using a touchscreen questionnaire and were divided into four categories. RESULTS After a median follow-up of 12.7 years, 7315 participants developed depression. Compared with day workers, HRs (95 % CIs) of depression were 1.28 (1.19-1.38) for shift work, but never or rarely night shifts, 1.32 (1.20-1.45) for irregular night shifts, and 1.20 (1.07-1.34) for permanent night shifts. Considering lifetime employment and compared with never shift workers, >8 nights/month (HR: 1.40; 95 % CI: 1.19-1.66) and <10 years (HR: 1.30; 95 % CI: 1.09-1.54) of night shift work were associated with a higher risk of depression. In joint effect analyses, compared to participants with low genetic predisposition and day workers, the HRs (95 % CIs) of depression were 1.49 (1.32-1.69) in those with high genetic predisposition and shift work, but never or rarely night shifts, and 1.36 (1.20-1.55) for those with high genetic predisposition and irregular/permanent night shifts. In addition, there was neither multiplicative nor additive interaction between genetic predisposition and night shift work on the risk of depression. CONCLUSIONS Night shift work was associated with an increased risk of depression regardless of genetic risk.
Collapse
Affiliation(s)
- Yanchun Chen
- School of Public Health, Tianjin Medical University, Tianjin, China
| | - Hongxi Yang
- School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Yuan Zhang
- School of Public Health, Tianjin Medical University, Tianjin, China
| | - Lihui Zhou
- School of Public Health, Tianjin Medical University, Tianjin, China
| | - Jing Lin
- School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yaogang Wang
- School of Public Health, Tianjin Medical University, Tianjin, China.
| |
Collapse
|