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Wang Q, Liu H, Ren Z, Xiong W, He M, Li N, Fan X, Guo X, Li X, Shi H, Zha S, Zhang X. The Associations of Family Functioning, General Well-Being, and Exercise with Mental Health among End-Stage Renal Disease Patients. Psychiatry Investig 2020; 17:356-365. [PMID: 32252511 PMCID: PMC7176562 DOI: 10.30773/pi.2019.0204] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Revised: 01/04/2020] [Accepted: 02/12/2020] [Indexed: 12/28/2022] Open
Abstract
OBJECTIVE This study aims to explore the relationships of family functioning, general well-being, and exercise with psychological distress. Furthermore, we investigated the special roles of general well-being and exercise on the association between family functioning and psychological distress. METHODS Of 769 end-stage renal disease (ESRD) patients participated in the cross-sectional study which consisted of the 12-item General Health Questionnaire (GHQ-12), the Family APGAR Scales, and the General Well-Being Schedule. The collected data were analyzed using multiple linear regression analysis and path analysis. RESULTS The prevalence of psychological distress was 72.3%. Family functioning, general well-being and exercise were associated factors of psychological distress (p<0.05). The indirect effect of family functioning on psychological distress was partially mediated by general well-being (Effect=-0.08, 95% CI=-0.11, -0.04). In addition, the effect of family functioning on general well-being was moderated by exercise (Index=-0.092, SE=0.033, 95% CI=-0.159, -0.029). CONCLUSION The prevalence of psychological distress among ESRD patients was high. Family functioning, general well-being and exercise were associated with psychological distress. Family functioning could affect psychological distress partially by affecting general well-being. Furthermore, exercise had a significant moderating effect on the relationship between family functioning and general well-being.
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Affiliation(s)
- Qi Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
| | - Hongjian Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
| | - Zheng Ren
- Department of Social Medicine and Health Management, School of Public Health, Jilin University, Changchun, China
| | - Wenjing Xiong
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
| | - Minfu He
- Department of Social Medicine and Health Management, School of Public Health, Jilin University, Changchun, China
| | - Nan Li
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
- The First Hospital of Qiqihar City, Qiqihar, China
| | - Xinwen Fan
- Department of Social Medicine and Health Management, School of Public Health, Jilin University, Changchun, China
| | - Xia Guo
- Department of Social Medicine and Health Management, School of Public Health, Jilin University, Changchun, China
| | - Xiangrong Li
- Department of Social Medicine and Health Management, School of Public Health, Jilin University, Changchun, China
| | - Hong Shi
- Department of Social Medicine and Health Management, School of Public Health, Jilin University, Changchun, China
| | - Shuang Zha
- Department of Social Medicine and Health Management, School of Public Health, Jilin University, Changchun, China
| | - Xiumin Zhang
- Department of Social Medicine and Health Management, School of Public Health, Jilin University, Changchun, China
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So HC, Chau KL, Ao FK, Mo CH, Sham PC. Exploring shared genetic bases and causal relationships of schizophrenia and bipolar disorder with 28 cardiovascular and metabolic traits. Psychol Med 2019; 49:1286-1298. [PMID: 30045777 DOI: 10.1017/s0033291718001812] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
BACKGROUND Cardiovascular diseases represent a major health issue in patients with schizophrenia (SCZ) and bipolar disorder (BD), but the exact nature of cardiometabolic (CM) abnormalities involved and the underlying mechanisms remain unclear. Psychiatric medications are known risk factors, but it is unclear whether there is a connection between the disorders (SCZ/BD) themselves and CM abnormalities. METHODS Using polygenic risk scores and linkage disequilibrium score regression, we investigated the shared genetic bases of SCZ and BD with 28 CM traits. We performed Mendelian randomization (MR) to elucidate causal relationships between the two groups of disorders. The analysis was based on large-scale meta-analyses of genome-wide association studies. We also identified the potential shared genetic variants and inferred the pathways involved. RESULTS We found tentative polygenic associations of SCZ with glucose metabolism abnormalities, adverse adipokine profiles, increased waist-to-hip ratio and visceral adiposity (false discovery rate or FDR<0.05). However, there was an inverse association with body mass index. For BD, we observed several polygenic associations with favorable CM profiles at FDR<0.05. MR analysis showed that SCZ may be causally linked to raised triglyceride and that lower fasting glucose may be linked to BD. We also identified numerous single nucleotide polymorphisms and pathways shared between SCZ/BD with CM traits, some of which are related to inflammation or the immune system. CONCLUSIONS Our findings suggest that SCZ patients may be genetically predisposed to several CM abnormalities independent of medication side effects. On the other hand, CM abnormalities in BD may be more likely to be secondary. However, the findings require further validation.
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Affiliation(s)
- Hon-Cheong So
- School of Biomedical Sciences, The Chinese University of Hong Kong,Shatin,Hong Kong
| | - Kwan-Long Chau
- School of Biomedical Sciences, The Chinese University of Hong Kong,Shatin,Hong Kong
| | - Fu-Kiu Ao
- School of Biomedical Sciences, The Chinese University of Hong Kong,Shatin,Hong Kong
| | - Cheuk-Hei Mo
- Faculty of Medicine,The Chinese University of Hong Kong,Shatin,Hong Kong
| | - Pak-Chung Sham
- Department of Psychiatry,University of Hong Kong,Pokfulam,Hong Kong
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