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Zhang X, Wang Z, Lin GL, Wei FZ, Zhuang YP, Xu WL, Zhang Q, Wu HT, He ZM, Yin XY, Liu Y, Mi L, Gong AM. Analysis of status and influencing factors of mental health in patients with systemic lupus erythematosus. World J Psychiatry 2024; 14:829-837. [DOI: 10.5498/wjp.v14.i6.829] [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: 02/26/2024] [Revised: 04/23/2024] [Accepted: 05/06/2024] [Indexed: 06/19/2024] Open
Abstract
BACKGROUND Systemic lupus erythematosus (SLE) is a heterogeneous autoimmune disorder with varied clinical courses and prognoses, not only did the patients suffer from physical impairment, but also various physical and psychiatric comorbidities. Growing evidence have suggested that mental disorders in SLE patients, can lead to various adverse consequences.
AIM To explored the features and influencing factors of mental health in patients with SLE and clarifying the correlations between mental health and personality characteristics and perceived social support. The results would provide a basis for psychological intervention in patients with SLE.
METHODS The clinical data of 168 patients with SLE admitted at the First Affiliated Hospital of Hainan Medical University between June 2020 and June 2022 were collected. Psychological assessment and correlation analysis were conducted using the Symptom Checklist-90 (SCL-90) and Perceived Social Support Scale, and the collected data were compared with the national norms in China. The relevant factors influencing mental health were identified by statistical analysis. A general information questionnaire, the Revised Life Orientation Test, and Short-Form 36-Item Health Survey were employed to assess optimism level and quality of life (QoL), respectively.
RESULTS Patients with SLE obtained higher scores for the somatization, depression, anxiety, and phobic anxiety subscales than national norms (P < 0.05). A correlation was identified between total social support and total SCL-90 score or each subscale (P < 0.05). The factors significantly affecting patients’ mental health were hormone dosage and disease activity index (DAI) (P < 0.05). The average optimism score of patients with SLE was 14.36 ± 4.42, and 30 cases were in the middle and lower levels. A positive correlation was found between optimism level and QoL scores.
CONCLUSION Patients with SLE develop psychological disorders at varying degrees, which are significantly influenced by hormone dosage and DAI. Patients’ mental health should be closely monitored during clinical diagnosis and treatment and provided adequate support in establishing positive, healthy thinking and behavior patterns and improving their optimism level and QoL.
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Affiliation(s)
- Xuan Zhang
- School of Traditional Chinese Medicine, Hainan Medical University, Haikou 571101, Hainan Province, China
| | - Zhe Wang
- School of Traditional Chinese Medicine, Hainan Medical University, Haikou 571101, Hainan Province, China
| | - Gui-Ling Lin
- School of Traditional Chinese Medicine, Hainan Medical University, Haikou 571101, Hainan Province, China
| | - Fang-Zhi Wei
- School of Traditional Chinese Medicine, Hainan Medical University, Haikou 571101, Hainan Province, China
| | - Yan-Ping Zhuang
- School of Traditional Chinese Medicine, Hainan Medical University, Haikou 571101, Hainan Province, China
| | - Wen-Lu Xu
- School of Traditional Chinese Medicine, Hainan Medical University, Haikou 571101, Hainan Province, China
| | - Qi Zhang
- School of Traditional Chinese Medicine, Hainan Medical University, Haikou 571101, Hainan Province, China
| | - Hui-Tao Wu
- School of Traditional Chinese Medicine, Hainan Medical University, Haikou 571101, Hainan Province, China
| | - Zi-Man He
- School of Traditional Chinese Medicine, Hainan Medical University, Haikou 571101, Hainan Province, China
| | - Xi-Yu Yin
- School of Traditional Chinese Medicine, Hainan Medical University, Haikou 571101, Hainan Province, China
| | - Ying Liu
- Department of Rheumatology and Immunology, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou 570311, Hainan Province, China
| | - Long Mi
- Department of Radiology, The First Affiliated Hospital of Hainan Medical University, Hainan Medical University, Haikou 570100, Hainan Province, China
| | - Ai-Min Gong
- School of Traditional Chinese Medicine, Hainan Medical University, Haikou 571101, Hainan Province, China
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Zhang RD, Chen C, Wang P, Fang Y, Jiang LQ, Fang X, Zhao Y, Ni J, Wang DG, Pan HF. Air pollution exposure and auto-inflammatory and autoimmune diseases of the musculoskeletal system: a review of epidemiologic and mechanistic evidence. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2023:10.1007/s10653-023-01495-x. [PMID: 36735155 DOI: 10.1007/s10653-023-01495-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 01/24/2023] [Indexed: 06/18/2023]
Abstract
Auto-inflammatory and autoimmune diseases of the musculoskeletal system can be perceived as a spectrum of rheumatic diseases, with the joints and connective tissues are eroded severely that progressively develop chronic inflammation and lesion. A wide range of risk factors represented by genetic and environmental factors have been uncovered by population-based surveys and experimental studies. Lately, the exposure to air pollution has been found to be potentially involved in the mechanisms of occurrence or development of such diseases, principally manifest in oxidative stress, local and systemic inflammation, and epigenetic modifications, as well as the mitochondrial dysfunction, which has been reported to participate in the intermediate links. The lungs might serve as a starting area of air pollutants, which would cause oxidative stress-induced bronchial-associated lymphoid tissue (iBALT) to further to influence T, B cells, and the secretion of pro-inflammatory cytokines. The binding of aromatic hydrocarbon receptor (AhR) to the corresponding contaminant ligands tends to regulate the reaction of Th17 and Tregs. Furthermore, air pollution components might spur on immune and inflammatory responses by damaging mitochondria that could interact with and exacerbate oxidative stress and pro-inflammatory cytokines. In this review, we focused on the association between air pollution and typical auto-inflammatory and autoimmune diseases of the musculoskeletal system, mainly including osteoarthritis (OA), rheumatoid arthritis (RA), spondyloarthritis (SpA) and juvenile idiopathic arthritis (JIA), and aim to collate the mechanisms involved and the potential channels. A complete summary and in-depth understanding of the autoimmune and inflammatory effects of air pollution exposure should hopefully contribute new perspectives on how to formulate better public health policies to alleviate the adverse health effects of air pollutants.
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Affiliation(s)
- Ruo-Di Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
- Institute of Kidney Disease, Inflammation and Immunity Mediated Diseases, The Second Hospital of Anhui Medical University, Hefei, 230032, Anhui, People's Republic of China
| | - Cong Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
- Institute of Kidney Disease, Inflammation and Immunity Mediated Diseases, The Second Hospital of Anhui Medical University, Hefei, 230032, Anhui, People's Republic of China
| | - Peng Wang
- Institute of Kidney Disease, Inflammation and Immunity Mediated Diseases, The Second Hospital of Anhui Medical University, Hefei, 230032, Anhui, People's Republic of China
- Teaching Center for Preventive Medicine, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Yang Fang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
- Institute of Kidney Disease, Inflammation and Immunity Mediated Diseases, The Second Hospital of Anhui Medical University, Hefei, 230032, Anhui, People's Republic of China
| | - Ling-Qiong Jiang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
- Institute of Kidney Disease, Inflammation and Immunity Mediated Diseases, The Second Hospital of Anhui Medical University, Hefei, 230032, Anhui, People's Republic of China
| | - Xi Fang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
- Institute of Kidney Disease, Inflammation and Immunity Mediated Diseases, The Second Hospital of Anhui Medical University, Hefei, 230032, Anhui, People's Republic of China
| | - Yan Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
- Institute of Kidney Disease, Inflammation and Immunity Mediated Diseases, The Second Hospital of Anhui Medical University, Hefei, 230032, Anhui, People's Republic of China
| | - Jing Ni
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
- Institute of Kidney Disease, Inflammation and Immunity Mediated Diseases, The Second Hospital of Anhui Medical University, Hefei, 230032, Anhui, People's Republic of China
| | - De-Guang Wang
- Institute of Kidney Disease, Inflammation and Immunity Mediated Diseases, The Second Hospital of Anhui Medical University, Hefei, 230032, Anhui, People's Republic of China
- Department of Nephrology, The Second Hospital of Anhui Medical University, Hefei, 230032, Anhui, People's Republic of China
| | - Hai-Feng Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China.
- Institute of Kidney Disease, Inflammation and Immunity Mediated Diseases, The Second Hospital of Anhui Medical University, Hefei, 230032, Anhui, People's Republic of China.
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Chen P, Huang J, Li S, Tang Y, Xiao Y, Zou B, Chen X, Li J, Zhao Z, Shen M. Nitrogen dioxide and hospital length of stay and cost for systemic lupus erythematosus in Hunan, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 856:159013. [PMID: 36162573 DOI: 10.1016/j.scitotenv.2022.159013] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 09/13/2022] [Accepted: 09/20/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Evidence of both epidemiological and clinical studies exploring the impact of nitrogen dioxide (NO2) on the systemic lupus erythematosus (SLE) disease activity have been contradictory. OBJECTIVES To evaluate the association between short-term NO2 exposure and length of hospital stay (LOS) and hospital cost of SLE and estimate the burden of disease attributable to NO2 exposure. METHODS We collected health data of SLE inpatients who were hospitalized at secondary and tertiary hospitals in Hunan province of China during 2017-2019. Daily ambient concentrations of air pollutants (O3, CO, NO2, SO2, PM2.5 and PM10) and other environmental factors were obtained from public repositories by linking to individual addresses and date of hospitalization. Mixed effect models were employed to assess the associations between LOS and hospital cost for SLE inpatients and NO2 exposures during the previous 1 to 21 days (lag1-lag21) before hospitalization. We further estimated excess LOS and hospital cost attributable to NO2 exposure according to China's and World Health Organization's air quality guideline (AQG) respectively. RESULTS A total of 11,447 records from 221 hospitals were finally included in our study. After full adjustments, 1 μg/m3 increment of NO2 was significantly associated with 0.038 day increase in LOS (95%CI: 0.0159-0.0601, P = 0.0008) and 0.0384 thousand yuan increase in hospital cost (95%CI: 0.0017-0.0679, P = 0.0395) with a lagged effect of 7 days prior to admission. Based on the adjusted effects of lag7, controlling for short-term NO2 exposure according to AQG could avoid up to 1.47 thousand days of hospitalization and 1.35 million yuan of cost for SLE in Hunan province during 2017 to 2019. CONCLUSIONS Excess LOS and substantial economic burden among SLE inpatients attributable to NO2 could be avoid if policies were implemented to reduce the exposure.
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Affiliation(s)
- Peng Chen
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China
| | - Jundong Huang
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China
| | - Shenxin Li
- Department of Surveying and Remote Sensing Science, School of Geosciences and Info-physics, Central South University, Changsha, China
| | - Yan Tang
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China
| | - Yi Xiao
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China
| | - Bin Zou
- Department of Surveying and Remote Sensing Science, School of Geosciences and Info-physics, Central South University, Changsha, China
| | - Xiang Chen
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China; Hunan Engineering Research Center of Skin Health and Disease, Xiangya Hospital, Central South University, Changsha, China
| | - Ji Li
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China; Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Zhixiang Zhao
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China; Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Minxue Shen
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China; Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China.
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