1
|
Yang X, Cheng B, Cheng S, Liu L, Pan C, Meng P, Li C, Chen Y, Zhang J, Zhang H, Zhang Z, Wen Y, Jia Y, Liu H, Zhang F. A genome-wide association study identifies candidate genes for sleep disturbances in depressed individuals. Hum Genomics 2024; 18:51. [PMID: 38778419 PMCID: PMC11110369 DOI: 10.1186/s40246-024-00609-5] [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: 10/06/2023] [Accepted: 04/15/2024] [Indexed: 05/25/2024] Open
Abstract
OBJECTIVE This study aimed to identify candidate loci and genes related to sleep disturbances in depressed individuals and clarify the co-occurrence of sleep disturbances and depression from the genetic perspective. METHODS The study subjects (including 58,256 self-reported depressed individuals and 6,576 participants with PHQ-9 score ≥ 10, respectively) were collected from the UK Biobank, which were determined based on the Patient Health Questionnaire (PHQ-9) and self-reported depression status, respectively. Sleep related traits included chronotype, insomnia, snoring and daytime dozing. Genome-wide association studies (GWASs) of sleep related traits in depressed individuals were conducted by PLINK 2.0 adjusting age, sex, Townsend deprivation index and 10 principal components as covariates. The CAUSALdb database was used to explore the mental traits associated with the candidate genes identified by the GWAS. RESULTS GWAS detected 15 loci significantly associated with chronotype in the subjects with self-reported depression, such as rs12736689 at RNASEL (P = 1.00 × 10- 09), rs509476 at RGS16 (P = 1.58 × 10- 09) and rs1006751 at RFX4 (P = 1.54 × 10- 08). 9 candidate loci were identified in the subjects with PHQ-9 ≥ 10, of which 2 loci were associated with insomnia such as rs115379847 at EVC2 (P = 3.50 × 10- 08), and 7 loci were associated with daytime dozing, such as rs140876133 at SMYD3 (P = 3.88 × 10- 08) and rs139156969 at ROBO2 (P = 3.58 × 10- 08). Multiple identified genes, such as RNASEL, RGS16, RFX4 and ROBO2 were reported to be associated with chronotype, depression or cognition in previous studies. CONCLUSION Our study identified several candidate genes related to sleep disturbances in depressed individuals, which provided new clues for understanding the biological mechanism underlying the co-occurrence of depression and sleep disorders.
Collapse
Affiliation(s)
- Xuena Yang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Bolun Cheng
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Shiqiang Cheng
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Li Liu
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Chuyu Pan
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Peilin Meng
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Chun'e Li
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Yujing Chen
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Jingxi Zhang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Huijie Zhang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Zhen Zhang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Yan Wen
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Yumeng Jia
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Huan Liu
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Feng Zhang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China.
- Department of Psychiatry, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
| |
Collapse
|
2
|
Li Q, Jing W, Wei Z, Wang Y, Sun L. Associations Between Workplace Violence and Mental Health Among Chinese Health Technicians: A Moderated Mediation Analysis of Sleep Quality and Physical Activity. Psychol Res Behav Manag 2023; 16:2045-2057. [PMID: 37305220 PMCID: PMC10252941 DOI: 10.2147/prbm.s411098] [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: 03/04/2023] [Accepted: 05/31/2023] [Indexed: 06/13/2023] Open
Abstract
Background Workplace violence (WPV) had always been the focus of attention in all walks of lives, especially in the health fields. Previous studies had shown it adversely affected mental health for healthcare workers. In addition, both sleep quality and physical activity were supported to have impact on mental health. However, the mechanism of sleep quality and physical activity influence the association between WPV and mental health had not been explored, so the purpose of this paper was to explore this mechanistic link among workplace violence, sleep quality, physical activity, and mental health in Chinese health technicians. Methods Cross-sectional study was conducted in 3 cities of China, totally 3426 valid questionnaires were collected. WPV, physical activity, and social-demographic variables were evaluated. The Pittsburgh Sleep Quality Index and the Kessler Psychological Distress Scale were used to measure sleep quality and mental health. Descriptive analysis, univariate analysis, Pearson correlation, and moderated mediation analysis were used to estimate prevalence of WPV, association between WPV and mental health, and the role of sleep quality and physical activity on association between WPV and mental health. Results The prevalence of WPV was 52.2% among Chinese health technicians. After controlling social-demographic and work-related variables, sleep quality partially mediated the effect of WPV on mental health (indirect effect=0.829). Physical activity moderated the relationship between WPV and sleep quality (β=0.235, p=0.013), but not find the moderating role between WPV and mental health (β=0.140, p=0.474), and between sleep quality and mental health (β=0.018, p=0.550). Conclusion The rate of WPV among health technicians remained at an alarming level. Sleep quality and physical activity could mitigate the adverse effect of WPV on mental health. In the future, we could improve sleep quality and encourage health technicians to engage physical activity to decrease the negative effect of WPV on mental health.
Collapse
Affiliation(s)
- Qixiu Li
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People’s Republic of China
- National Health Commission of China (NHC) Key Laboratory of Health Economics and Policy Research (Shandong University), Jinan, Shandong, People’s Republic of China
| | - Wenhua Jing
- Hospital Service Department, Qilu Hospital of Shandong University, Jinan, Shandong, People’s Republic of China
| | - Zhen Wei
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People’s Republic of China
- National Health Commission of China (NHC) Key Laboratory of Health Economics and Policy Research (Shandong University), Jinan, Shandong, People’s Republic of China
| | - Yifan Wang
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People’s Republic of China
- National Health Commission of China (NHC) Key Laboratory of Health Economics and Policy Research (Shandong University), Jinan, Shandong, People’s Republic of China
| | - Long Sun
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People’s Republic of China
- National Health Commission of China (NHC) Key Laboratory of Health Economics and Policy Research (Shandong University), Jinan, Shandong, People’s Republic of China
| |
Collapse
|
3
|
Tan C, Sato K, Shiotani H. The relationship between social jetlag and subjective sleep quality: differences in young and middle-aged workers. Sleep Biol Rhythms 2023; 21:7-12. [PMID: 38468901 PMCID: PMC10899945 DOI: 10.1007/s41105-022-00410-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 07/21/2022] [Indexed: 10/16/2022]
Abstract
Social jetlag is a recent problem that is associated with a wide range of issues in the context of modern life. However, differences in the effects of social jetlag on sleep quality between young and middle-aged workers remain unclear. Accordingly, we aimed to examine the different effects of social jetlag on sleep quality in young (20-39 years) and middle-aged (40-59 years) workers from one factory. We included 106 male full-time workers (average age: 35.8 ± 11.5 years) who worked at the Kobe Factory of Fuji Electric Co., Ltd. Social jetlag was evaluated using the Munich ChronoType Questionnaire Japanese Version. Subjective sleep quality was assessed using the Pittsburgh Sleep Quality Index Japanese Version. Chronotype was determined using the Morningness-Eveningness Questionnaire Japanese Version (MEQ), while the health-related quality-of-life was evaluated using a revised version of the MOS 36-Item Short-Form Survey. Furthermore, we examined factors related to sleep quality in each age group using multiple regression analysis. Subjective sleep quality in the analysis set was poor; moreover, 39.4% of the participants had social jetlag for ≥ 1 h. Compared with middle-aged workers, young workers showed significantly longer and lower social jetlag and MEQ scores, respectively. Multiple regression analysis revealed that mental health and social jet lag were significantly associated with sleep quality in young participants. Contrastingly, social jetlag was not associated with sleep quality in middle-aged workers. Our findings demonstrate the importance of considering the effects of age-based factors on sleep quality.
Collapse
Affiliation(s)
- Chieko Tan
- School of Health Sciences, Nursing, Kobe Tokiwa University, 2-6-2 Otani-cho, Nagata-ku, Kobe, 653-0838 Japan
| | - Kaori Sato
- Kobe Factory of Fuji Electric Co., Ltd., Kobe, Japan
| | - Hideyuki Shiotani
- School of Health Sciences, Nursing, Kobe Tokiwa University, 2-6-2 Otani-cho, Nagata-ku, Kobe, 653-0838 Japan
| |
Collapse
|
4
|
Heron PN, Henderson LM, Crosland S, Gilbody SM, Johnston GA, Moriarty AS, Newbronner E, Paterson A, Spanakis P, Wadman R, Walker L, Peckham E. Sleep health among people with severe mental ill health during the COVID-19 pandemic: Results from a linked UK population cohort study. Front Psychiatry 2022; 13:975593. [PMID: 36299533 PMCID: PMC9589097 DOI: 10.3389/fpsyt.2022.975593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Accepted: 09/22/2022] [Indexed: 11/13/2022] Open
Abstract
Objectives Sleep problems are a transdiagnostic feature of nearly all psychiatric conditions, and a strong risk factor for initial and recurrent episodes. However, people with severe mental ill health (SMI) are often excluded from general population surveys, and as such the extent and associates of poor sleep in this population are less well understood. This study explores sleep health in an SMI sample during the COVID-19 pandemic, using multiple regression to identify risk factors, including daily routine, wellbeing and demographics. Methods An existing cohort of people with an SMI diagnosis were sampled. Participants were invited to complete a self-report survey about their health and the impacts of COVID-19 and associated public health measures. Sleep duration, efficiency, and quality were measured using items from the Pittsburgh Sleep Quality Index (PSQI). Results Two hundred forty-nine adults (aged 21-84 years) completed the survey. Mean sleep duration and efficiency were similar to general population estimates, at 7 h 19 min and 78%, respectively. However, 43% reported "bad" sleep quality that was associated with being younger in age as well as disturbed routine and declined wellbeing. Indeed, 37% reported a disturbed routine during the pandemic. Conclusions High estimates of perceived poor sleep quality in the SMI population align with previous findings. Supporting people with SMI to maintain routine regularity may work to protect sleep quality and wellbeing. Future research should more closely examine sleep health in people with SMI, using accessible and scalable measures of objective and subjective sleep, examining longitudinal trends.
Collapse
Affiliation(s)
- Paul N. Heron
- Mental Health and Addictions Research Group, Department of Health Science, University of York, York, United Kingdom
| | | | - Suzanne Crosland
- Mental Health and Addictions Research Group, Department of Health Science, University of York, York, United Kingdom
| | - Simon M. Gilbody
- Mental Health and Addictions Research Group, Department of Health Science, University of York, York, United Kingdom
- Hull York Medical School, York, United Kingdom
| | | | - Andrew S. Moriarty
- Mental Health and Addictions Research Group, Department of Health Science, University of York, York, United Kingdom
- Hull York Medical School, York, United Kingdom
| | - Elizabeth Newbronner
- Mental Health and Addictions Research Group, Department of Health Science, University of York, York, United Kingdom
| | - Alastair Paterson
- Faculty of Medical and Human Sciences, Manchester University, Manchester, United Kingdom
| | - Panagiotis Spanakis
- Mental Health and Addictions Research Group, Department of Health Science, University of York, York, United Kingdom
- Department of Psychology, University of Crete, Rethymmon, Greece
- School of Psychology, Mediterranean College, Athens, Greece
| | - Ruth Wadman
- Mental Health and Addictions Research Group, Department of Health Science, University of York, York, United Kingdom
| | - Lauren Walker
- Mental Health and Addictions Research Group, Department of Health Science, University of York, York, United Kingdom
| | - Emily Peckham
- Mental Health and Addictions Research Group, Department of Health Science, University of York, York, United Kingdom
| |
Collapse
|