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Wang Y, Song Z, Wei L, Liu Y, Bian J, Wang C, Wang S. The mediating role of psychological capital between post-traumatic growth and uncertainty in illness among patients with Parkinson's disease. Geriatr Nurs 2023; 50:194-202. [PMID: 36791544 DOI: 10.1016/j.gerinurse.2023.01.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 01/10/2023] [Accepted: 01/11/2023] [Indexed: 02/15/2023]
Abstract
With the application of positive psychology in health management, many studies have confirmed the close relationship between post-traumatic growth, psychological capital and uncertainty in illness. However, there is still a lack of attention to the positive psychology of patients with Parkinson's disease, and previous studies have not clarify the specific relationship. Therefore, the present study sought to explore the multiple mediating roles of psychological capital between post-traumatic growth and uncertainty in illness among patients with Parkinson's disease. We conducted a cross-sectional survey, a total of 268 patients with Parkinson's disease were investigated by the Post-Traumatic Growth Inventory, the Positive Psychological Capital Questionnaire and the Mishel Uncertainty in Illness Scale - Adults from November 2021 to June 2022 in the Parkinson's specialist outpatient department of three 3a-grade hospitals in Tianjin, China. The results showed that the score of post-traumatic growth was (51.78±17.872), the score of uncertainty in illness was (68.08±17.555), and the score of self-efficacy, resilience, hope, and optimism dimensions of psychological capital were (28.93±10.511), (28.79±11.553), (27.57±8.558) and (25.35±9.768). Post-traumatic growth was negatively correlated with uncertainty in illness and positively correlated with all four dimensions of psychological capital (p < 0.01), and uncertainty in illness was negatively correlated with all four dimensions of psychological capital (p < 0.01). Bootstrap test showed that the direct effect of post-traumatic growth on uncertainty in illness of patients with Parkinson's disease was not significant; the total indirect effect of psychological capital between post-traumatic growth and uncertainty in illness was significant. The mediating effects of resilience and hope were significant, accounting for 53.07% and 19.41% of the total indirect effects, respectively. Based on the research results, psychological capital played a completely mediating role between post-traumatic growth and uncertainty in illness of patients with Parkinson's disease. Post-traumatic growth affected uncertainty in illness through two dimensions: resilience and hope. Healthcare professionals should pay attention to the level of psychological capital of patients with Parkinson's disease and implement targeted positive psychological interventions focusing on the two dimensions of resilience and hope, to enhance post-traumatic growth and reduce the level of uncertainty in illness.
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Affiliation(s)
- Ya'nan Wang
- BSN, The First Central Clinical School, Tianjin Medical University, Tianjin, China
| | - Zhengyang Song
- BSN, The First Central Clinical School, Tianjin Medical University, Tianjin, China
| | - Lirong Wei
- BSN, Graduate School, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Yun Liu
- BSN, Graduate School, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Jiping Bian
- BSN, Graduate School, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Cong Wang
- BSN, The First Central Clinical School, Tianjin Medical University, Tianjin, China
| | - Shen Wang
- MD, Preventive Health Service, Tianjin First Central Hospital, 24 Fukang Road, Nankai District, Tianjin, China.
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Sun RC, Lyu KY, Feng GW, Xu QY, Lan YJ. [The mediating role of worker-occupation fit between occupational stress and anxiety symptoms in medical staff]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2022; 40:495-500. [PMID: 35915938 DOI: 10.3760/cma.j.cn121094-20210425-00231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To analyze the mediating effect of work-occupation fit between occupational stress and anxiety symptoms in medical staff. Methods: Convenience sampling method was adopted to select participants of one general hospital and three specialized hospitals as respondents for a questionnaire survey in Henan Province from October 2020 to January 2021. A total of 2050 medical staff were investigated, and 1988 valid questionnaires were collected, and the effective rate of the questionnaire was 97.0% (1988/2050) . The "Depression-Anxiety-Stress Scale" and "Worker-Occupation Fit Inventory" were used to evaluate the occupational stress, anxiety symptoms and worker-occupation fit level of medical staff, and the mediation effect of work-occupation fit on the relationship between occupational stress and anxiety symptoms was analyzed using a mediating effect model. Results: The average age of the 1988 medical staff was (32.7±7.8) years old, the positive detection rates of occupational stress and anxiety symptoms were 42.5% (845/1988) and 56.7% (1127/1988) , respectively. Anxiety symptoms of medical staff were positively correlated with occupational stress, negatively correlated with worker-occupation fit (r=0.831, -0.364, P<0.001) , work-occupation fit was negatively correlated with occupational stress (r=-0.259, P<0.001) . The results of the mediation effect analysis showed that occupational stress had a direct effect on anxiety symptoms (β=0.677, BCa 95%CI: 0.648-0.707) , and worker-occupation fit (β=0.047, BCa 95%CI: 0.039-0.056) , characteristic fit (β=0.089, BCa 95%CI: 0.074-0.104) , need-supply fit (β=0.075, BCa 95%CI: 0.062-0.089) , and ability-demand fit (β=0.035, BCa 95%CI: 0.026-0.044) mediated the association between occupational stress and anxiety symptoms in medical staff, with the mediating effect as a percentage of 6.5%, 12.3%, 10.3%, and 4.8%, respectively. Conclusion: Worker-occupation fit has a mediating effect between occupational stress and anxiety symptoms in medical staff, but mainly direct effect.
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Affiliation(s)
- R C Sun
- Department of Preventive Medicine, School of Public Health, Chengdu Medical College, Chengdu 610500, China
| | - K Y Lyu
- Department of Occupational and Environmental Health, West China School of Public Health/West China Fourth Hospital, Sichuan University, Chengdu 610041, China
| | - G W Feng
- Department of Occupational and Environmental Health, West China School of Public Health/West China Fourth Hospital, Sichuan University, Chengdu 610041, China
| | - Q Y Xu
- Department of Occupational and Environmental Health, West China School of Public Health/West China Fourth Hospital, Sichuan University, Chengdu 610041, China
| | - Y J Lan
- Department of Occupational and Environmental Health, West China School of Public Health/West China Fourth Hospital, Sichuan University, Chengdu 610041, China
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Guo Y, Cao L, Zhou Y, Xiao L, Zhang X, Yuan J, Chen W. Cardiometabolic traits mediated the relationship from urinary polycyclic aromatic hydrocarbons metabolites to heart rate variability reduction: A community-based study. Environ Pollut 2018; 243:28-36. [PMID: 30172123 DOI: 10.1016/j.envpol.2018.08.057] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2017] [Revised: 07/27/2018] [Accepted: 08/18/2018] [Indexed: 06/08/2023]
Abstract
Polycyclic Aromatic Hydrocarbons (PAHs) exposure was related with metabolic syndrome (MetS) and heart rate variability (HRV) reduction, and HRV was also affected by cardiometabolic traits. However, the role of cardiometabolic traits in the associations from PAHs exposures to HRV was largely unknown. We conducted this study to investigate whether the relationship between PAHs exposure and HRV reduction was mediated by cardiometabolic traits. Levels of urinary polycyclic aromatic hydrocarbons metabolites (OH-PAHs), 10min-HRV, and metabolic traits were accurately measured for 2476 participants from Wuhan-Zhuhai (WHZH) cohort. Single mediator and multiple mediator models were used to evaluate the mediation effects of cadiometabolic traits. The concentrations of ΣOH-PAHs ranged from 4.20 to 8.63 mg/mmol Cr. When compared with the lowest tertile, ΣOH-PAHs in the highest tertile were significantly related with 20% (95% confidence interval [95%CI]:1%, 40%), 35% (95%CI: 14%, 56%), 22% (95%CI: 1%, 44%), and 38% (95%CI: 9%, 68%) decreases in very low frequency (VLF), low frequency (LF), high frequency (HF), and total power (TP) for participants with MetS, respectively. No statistically significant associations between ΣOH-PAHs and HRV indices were observed for participants without MetS. Similar results were found when we investigated the relationships between OH-PAHs and HRV indices by three groups of OH-PAHs (including total hydroxynaphthalene [ΣOHNa], total hydroxy fluorene [ΣOHFlu], and total hydroxyphenanthrene [ΣOHPh] metabolites). Further, mediation analysis suggested that cardiometabolic traits, including fasting glucose (GLU), high density lipoprotein (HDL), and blood pressure partially mediated the relationship from ΣOH-PAHs to HRV reduction. GLU was the strongest mediator, with mediation percentages of 15.70% for VLF, 14.70% for LF, 43.03% for HF, and 5.61% for TP. Our study found that the relationships between OH-PAHs and HRV reduction differed among participants with and without MetS, and these relationships were found to be partially mediated by cardiometabolic traits, especially fasting glucose. Further studies are encouraged to validate our findings and investigate potential mechanisms.
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Affiliation(s)
- Yanjun Guo
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Key Laboratory of Environment and Health in Ministry of Education & Ministry of Environmental Protection, And State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Limin Cao
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Key Laboratory of Environment and Health in Ministry of Education & Ministry of Environmental Protection, And State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yun Zhou
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Key Laboratory of Environment and Health in Ministry of Education & Ministry of Environmental Protection, And State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lili Xiao
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Key Laboratory of Environment and Health in Ministry of Education & Ministry of Environmental Protection, And State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaomin Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Key Laboratory of Environment and Health in Ministry of Education & Ministry of Environmental Protection, And State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jing Yuan
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Key Laboratory of Environment and Health in Ministry of Education & Ministry of Environmental Protection, And State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Weihong Chen
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Key Laboratory of Environment and Health in Ministry of Education & Ministry of Environmental Protection, And State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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