Skip to main content

Health-related quality of life and its related factors in patients with systemic lupus erythematosus in southwest Iran: a cross-sectional study

Abstract

Background

Quality of life (QoL) is an important measure in health assessment. It is impacted by unclear factors in Systemic Lupus Erythematosus (SLE) patients. The study aimed to investigate the factors related to QoL in SLE patients.

Methods

This cross-sectional study was performed on 140 (136 women and four men) Iranian SLE patients of Hafiz Hospital from June 2019 to August 2020. The Lupus Erythematosus Quality of Life Questionnaire (LEQoL) was used to evaluate the quality of life. The patients were evaluated with this questionnaire for four weeks in eight dimensions health, emotional health, body image, pain, planning, intimate relationships, and the burden of others. Related factors of LEQoL were evaluated using multivariable linear regression.

Results

The mean age was 34.09(8.96) years. The total mean QoL Score was 65.5 ± 22.4. The multivariable analysis showed that duration of disease (β:-1.12, 95% CI:-1.44 to -0.79, P:0.001), physical activity(β:-12.99, 95% CI:-19.2 to -6.13, P:0.001), kidney involvement (β:-9.2, 95% CI:-16.61 to -2.79, P:0.03) and skin involvement(β:-8.7, 95% CI:-17.2 to -0.2, P:0.031) were significantly related to the total mean QOL score of SLE patients.

Conclusion

The QoL of Iranian patients with SLE was low. Age and gender can be related to the decrease in the QoL of patients with SLE. Increasing the disease duration, physical activity, kidney involvement, and skin involvement can be related to the decrease in the QOL of Iranian patients with SLE.

Peer Review reports

Introduction

Systemic Lupus Erythematosus (SLE) is known as a chronic autoimmune disorder characterized by cycles of disease activity and remission [1]. Young women in the second to fourth decade of their lives are most commonly affected by SLE, but it can occur at any age and in either gender [2]. Lupus often affects multiple organs and typically causes symptoms such as fatigue, fever, and arthritis, which can negatively impact the quality of life (QoL) and daily functioning [2]. In contrast, SLE causes less common but more serious consequences, such as kidney, cardiopulmonary, and brain diseases (psychosis, seizures, stroke, difficulty concentrating), which contribute significantly to the morbidity and mortality of this disease [3]. Approximately all patients experience the disease’s acute and chronic phases [4]. Moreover, disease activity or damage in SLE has been reported together with decreased mental and physical health leading to a poor QoL [5]. The prevalence of SLE in Iran is estimated to be nearly 40 per 100,000, which is higher than in other Asian countries [6].

While the factors related to the QoL are likely to vary across countries and regions due to economic and cultural factors [7,8,9]. Although these results show that cultural and ecological elements would impact QoL [10], Recent studies have shown that HRQoL is lower in Iranian patients with SLE [11]. H Shakeri et al. [11] showed that patients with SLE had a lower QoL than the healthy population, especially in physical components. In another study, N Darvish et al. [12] showed that patients with SLE had a poorer QoL than the healthy population. They showed that the simultaneous suffering of patients with SLE with other underlying diseases, especially arthritis, and the disease’s longer duration was significantly related to a decrease in the QOL of Iranian patients with SL.

Various factors are related to the low QoL of patients with SLE [13,14,15]. The common distributors of poor QoL in SLE include fatigue, pain, sleep disorder, and cognitive dysfunction [5, 16]. The Lupus QoL questionnaire emphasizes a number of specific items of QoL, such as sleeping, body image, and physical health, which have yet to be considered in SF-36 [16] uniquely. SLE disease activity, damage, fibromyalgia, and depression are all associated with poor health-related QoL (HRQoL) [7, 17].

Considering the improvement of survival rate, increase in life expectancy, aging of the population, and in line with that, the increase in the prevalence of underlying diseases such as SLE, estimating the QoL of these patients and also knowing the factors related to the QoL of this disease can improve help the QoL of these patients. In addition, the factors associated with the QoL of Iranian patients with SLE are still unclear. Therefore, considering the importance of this issue, the study aimed to investigate the factors related to QoL in Iranian SLE patients. This study’s results can help improve the QoL of SLE patients by knowing the factors associated with SLE and carrying out related interventions.

Materials and methods

Study participants and settings

This study was approved by the Ethics Committee of Shiraz University of Medical Sciences with the code of IR.SUMS.REC.1395.138. This cross-sectional study was conducted on 140 Iranian SLE patients admitted to Hafez Hospital in Shiraz Province from June 2019 to August 2020. 173 patients were referred to this center during the study period. Thirty-three participants needed more complete data and were excluded from the study. Informed consent was obtained from all patients.

Inclusion and exclusion criteria

Inclusion criteria included: SLE patients with SLEDAI less than 4, age > 5 years, follow-up of at least 12 months, and access to patient findings. Patients with a malignant tumor, depression, chronic anxiety, mental disorders, suffering from viral diseases (hepatitis B, C, and HIV), and drug/alcohol addiction were defined as exclusion criteria.

Data collection

Individual and clinical factors related to the disease, such as kidney involvement, pain, family history of rheumatic diseases, arthritis, disease activity, etc., were assessed through a comprehensive questionnaire. A rheumatologist clinically examined all patients.

Measurements

An SLE-specific HRQoL questionnaire called Lupus QoL was used in this study. It consisted of two sections. The first was assigned to clinical and personal information, and the second was to Qol questions. The lupus QoL questionnaire was developed and validated by Kathleen McElhone et al. [18]. It has been translated and validated in Iran by Naeime Sadat Hosseini et al. (2013) [16], which to date is the only Lupus-specific questionnaire that is validated in Iran. The Lupus QoL questionnaire contains 34 items in 8 distinctive domains, including physical health (8 items), emotional health (6 items), body image (5 Items), pain (3 Items), planning (3 items), intimate relationships (2 items) and burden to others (3 items) which are evaluated during four weeks [18]. The items are scored based on a 5-point Likert scale. The final scores vary between 0 and 100. 0 and 100 indicate the worst and best quality of life, respectively. The disease activity was measured by the SLEDAI (Disease Activity Index) scores [19]. The kidney involvement was identified through the patients’ records, including protein urea, BUN, and Creatinine. A minimum of 30 min of walking daily was defined as physical activity.

Sample size calculation

The appropriate sample size for this study, with an estimated effect size of 0.61 for the difference in the average score of QoL in patients with SLE with the control group based on the study of H Shakeri et al. [11] with an alpha error of 5% and a power of 80% Using G Power version 3.1 software by the methodologist, 71 patients were estimated To increase the power of the study, all patients with SLE who referred within the time period were included in the study.

Statistical analysis

Data were analyzed using SPS version 22 statistical software. Mean, and standard deviation were used to report quantitative variables. Qualitative variables were reported with descriptive statistics (frequency and %). The Shapiro–Wilk test was used to evaluate the normality of the LEQoL score. The mean score for each dimension of LEQoL was estimated. To compare the variables in two groups, under the assumption that the distribution of the variables is normal, the independent t-test was used, and if normality was not established, the Mann-Whitney test was used. The variables with P value < 0.2 in univariate analysis (Table 1) were entered into the study of multivariable analysis with the Beck method. Multivariable linear regression analysis was used to evaluate the related factors of Lupus QoL and control the confounding variables. The standardized β coefficient with a 95% confidence interval was used to estimate the size of the factors. A p < 0.05 was considered statistically significant.

Table 1 Characteristics of the Iranian patients with SLE patients

Results

A total of 140 SLE patients (34.09(8.96) years), four men and 136 women were assessed in this study. As Table 2 provides descriptive statistics of patient characteristics, the mean starting age of disease was 23.94(9.50) years, and 78.57% were married. The total mean QoL Score was 65.5(22.4). The highest score of SLE patients’ QoL is related to planning, 78.36(25.03), and the lowest score of QoL was related to emotional, 54.70(30.51). (Table 3)

Table 2 Total mean score and subscales of LEQoL Score in patients with SLE patients
Table 3 Comparison of the mean score of QoL based on demographic and clinical characteristics of patients (results of univariate analysis)

Univariate analysis finding

The total mean score of QOL in patients with kidney disorders was significantly higher than that of patients without (69.35 (23.3) Vs. 59.35 ( 20.91). (P: 0.009) The total mean score of QOL in patients with and without skin involvement was 57.95 (25.51) and 67.64 (21.25), respectively, which was statistically significant. (P: 0.042) There was no significant difference between the patient’s QoL and other characteristics. (Table 1)

Multivariable analysis finding

The results of multivariable showed that duration of disease (β:-1.12, 95% CI:-1.44 to -0.79, P:0.001), physical activity(β:-12.99, 95% CI:-19.2 to -6.13, P:0.001), kidney involvement (β:-9.2, 95% CI:-16.61 to -2.79, P:0.03) and skin involvement(β:-8.7, 95% CI:-17.2 to -0.2, P:0.031) were significantly related to the total mean QOL score of SLE patients. Examining variables with different dimensions showed that the increase in BMI, longer duration of disease, physical activity, and kidney and skin involvement were significantly related to the decrease in the mean score of the Physical Health domain. The mean score of the planning dimension decreased significantly with increasing duration of disease, physical activity, and kidney and skin involvement. The mean score of the Intimate relationship domain in married people was significantly lower than that of single people (0.003). The mean score of Burden to other sub-scale improved significantly with increasing age. While the average score of this sub-scale decreased with physical activity, increased disease duration, and kidney involvement (p < 0.05), Education Level was related to the average score of body image and emotional dimensions, so the mean score for this dimension was significantly better in people with an education level higher than diploma than in people with less than a diploma.(p < 0.05) (Table 4).

Table 4 Factors related to the QoL of SLE patients based on multivariable analysis

Discussion

As one of the chronic autoimmune diseases, SLE has a wide diversity among different ethnic and geographical groups. With the increase in life expectancy, the prevalence of this disease is increasing, which can relate to the QoL of SLE patients [20,21,22]. Considering the importance of this issue, in this study, we investigated the factors related to the QoL in LS patients.

The results of our study showed the majority of patients were women. Although the ratio of men to women in other studies is also very high and ranges from 8 to 1 to 12, the female-to-male ratio in our study was slightly higher than in other studies, which can be justified due to the demographic characteristics of the studies. Most patients were married, with a median age of 33 years. The mean overall QoL score in patients with SLE was 65.5. F Conti et al. [23], by examining 117 Italian SLE patients (104 women and 13 men) with a mean age of 40.6 years, reported a total mean of LEQoL subscales of 71.21, consistent with our study’s results. In a study in Iran, N Darvish et al. [12], with a cross-sectional survey of health-related QoL in patients with Weber’s systemic lupus erythematosus on 100 patients and 200 controls, showed that the mean age of the patients was 33 years. The mean overall QoL score was approximately 64. The mean score of QoL in all subscales was lower in SLE patients than in the control group, which confirmed the results of our study. McElhone et al. reported a total mean QoL score for three groups of patients consisting of white (71.21 ± 8.47), Asian (70.81 ± 8.64), and Black Caribbean (71.70 ± 9.12) [24], Which was consistent with the results of our study. Our study’s total mean QoL Score for the Iranian population was 68.45 ± 8.89.

Moreover, Yazdany evaluated the subjects from the United Kingdom (71.07 ± 7.64) and the United States (47.30 ± 5.68) [25]. We finally obtained an overall mean of 68.45 ± 8.89. These measures then represent some assumptions suggesting that the LEQoL Questionnaire requires an adjustment for every culture due to national cross-cultural varieties. Secondly, in the case of Lupus patients, QoL domains would be impacted by further factors in different countries. Thirdly, this group of patients was assumed to enjoy a poor QoL compared to healthy people because different service systems and standards existed.

In our study, multivariable analysis showed that longer disease duration, positive renal involvement, and positive skin involvement were related to reducing the mean score of the total QoL of SLE patients. Examining the relationship between the variables in the subscales showed that an increase in BMI, longer disease duration, physical activity, and kidney and skin involvement could be related to a decrease in the mean score of the physical health domain. The increase in disease duration, physical activity, and kidney and skin involvement were significantly associated with a decrease in the mean score of the planning scale. The mean score of intimate relationships was significantly lower in married patients than in single patients. Multivariable analysis showed that longer disease duration, positive renal involvement, and positive skin involvement were linearly related to the reduction of the average score of the total QoL of SLE patients. Examining the relationship between the variables in the subscales showed that an increase in BMI, longer duration of the disease, positive physical activity, and kidney and skin involvement could be related to a decrease in the average score of the physical health domain. The increase in the duration of illness and physical activity and kidney and skin involvement was significantly associated with a decrease in the mean score of the planning scale. In two subscales, Emotional and Body Image, the mean score of QoL was better in patients with an education level higher than a diploma compared to those with less than a diploma, and the results of our study were consistent with the results of studies conducted in this field [12, 26,27,28,29].

In a regular review study by Y Shi et al. [29] in 2021, by evaluating the factors related to the QoL of SLE patients, they showed that SLE patients had poor to moderate QoL. In addition, they showed that damage and involvement in other organs were significantly associated with a decrease in the overall QoL and all patients’ subscale scores, which confirmed our study’s results. In our study, renal and skin involvement were associated with a decrease in the overall mean score of QoL and the mean score of all subscales. M Jeong et al. [30], in 2020, showed that high BMI, lower education level, comorbidities, and involvement in other organs, such as kidney involvement, were significantly associated with decreased QoL in patients with SLE, which was consistent with the results. Our study was consistent. Similar to our study, they used multivariate linear regression analysis to finalize the results. NT Ratanasiripong et al., [31] in Thailand, by examining the factors related to the QoL of SLE patients, showed that skin involvement and the number of symptoms, stress, depression, and anxiety were related to the reduction of the QoL of SLE patients. In our study, skin involvement was associated with decreased QoL of SLE patients. In our study, the effect of anxiety, depression, and stress on QoL was not investigated. C Elera-Fitzcarrald et al., [32] showed that poverty, lower educational level, behavioral issues, some clinical manifestations or skin involvement, and comorbidities were associated with low QoL in SLE patients. In our study, the level of education, skin involvement, and comorbidities was related to low QoL. In our study, the poverty and income level were not investigated, which can be a weak point for our study. In line with the results of our study, S Emamikia et al. [33] showed that the duration of the disease was related to the low QoL of SLE patients.

Also, our study showed that BMI was significantly associated with a decrease in HRQoL in aspects of physical health and fatigue in Iranian SLE patients. In line with the results of our study, A Gomez et al.,(34) in 2021 showed that BMI higher than normal in patients with SLE was associated with a clinically significant decrease in HRQoL in physical aspects and fatigue.

Our study had strengths and weaknesses that should be mentioned. Due to the study design, we could not compare the QoL of SLE patients with the healthy group. Also, in this study, we did not examine a number of important variables, such as income level, anxiety, stress, and depression, that can affect the estimation of the results. In addition, the measurement of many variables, such as physical activity, was based on self-reporting. The design of prospective case-control studies can help estimate the effects more precisely. The most important strength of this study was the investigation of factors predicting QoL in different sub-dimensions in a suitable sample size of Iranian patients with SLE.

Conclusions

Our study showed that disease activity, kidney involvement, skin involvement, Physical activity, and disease duration are the five principal factors in low QoL. Different numbers of affected participants in the same research would lead to various mean QoL.

Data Availability

The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

QoL:

Quality of life

SLE:

Systemic Lupus Erythematosus

LEQoL:

Lupus Quality of Life

HRQoL:

Health-related Quality of Life

References

  1. Khanna S, Pal H, Pandey R, Handa R. The relationship between disease Activity and quality of life in systemic lupus erythematosus. 2014; 43: 1536-40. Rheumatology (Oxford). 2004;43(12):1536-40.

  2. Livingston B, Bonner A, Pope J. Differences in clinical manifestations between childhood-onset lupus and adult-onset lupus: a meta-analysis. Lupus. 2011;20(13):1345–55.

    Article  PubMed  Google Scholar 

  3. Baker k, Pope J. Employment and work disability in systemic lupus erythematosus: a systematic review 2009. Rheumatology (Oxford). 2009;48(3):281–4.

    Article  PubMed  Google Scholar 

  4. Cojocaru M, Cojocaru I, Silosi I, Vrabie C. Manifestations of systemic lupus erythematosus. 2011. Maedica. 2011;6(4):330-6.

  5. Kiani A, Petri M. Quality-of-life measurements versus disease activity in systemic lupus erythematosus. Curr Rheumatol Rep. 2010;12(4):250–8.

    Article  PubMed  Google Scholar 

  6. Davatchi F, Jamshidi A-R, Banihashemi AT, Gholami J, Forouzanfar MH, Akhlaghi M, et al. WHO-ILAR COPCORD study (stage 1, urban study) in Iran. J Rhuematol. 2008;35(7):1384–90.

    Google Scholar 

  7. Etchegaray-Morales I, Méndez-Martínez S, Jiménez-Hernández C, Mendoza-Pinto C, Alonso-García N, Montiel-Jarquín A et al. Factors Associated with Health-Related Quality of Life in Mexican Lupus Patients using the LupusQoL. PLoS ONE. 2017;12(1).

  8. Shen B, Tan W, Feng G, He Y, Liu J, Chen W et al. Correlations of disease activity, socioeconomic status, quality of life, and depression/anxiety in Chinese patients with systemic lupus erythematosus Clin Dev Immunol 2013;2013.

  9. Román Ivorra JA, Fernández-Llanio-Comella N, San-Martín-Álvarez A, Vela-Casasempere P, Saurí-Ferrer I, González-de-Julián S, et al. Health-related quality of life in patients with systemic lupus erythematosus: a spanish study based on patient reports. Clin Rheumatol. 2019;38(7):1857–64.

    Article  PubMed  Google Scholar 

  10. Chang K, Wong F, Chan K, Wong F, Ho H, Wong M, et al. The impact of the Environment on the quality of life and the Mediating Effects of sleep and stress. Int J Environ Res Public Health. 2020;17(22):8529.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Shakeri H, Arman F, Hossieni M, Omrani HR, Vahdani A, Shakeri J. Depression, anxiety and disease-related variables and quality of life among individuals with systemic lupus erythematosus living in Kermanshah Province, Iran. Iran Red Crescent Med J. 2015;17(12).

  12. Darvish N, Hadi N, Aflaki E, Rad KS, Montazeri A. Health-related quality of life in patients with systemic lupus erythematosus and rheumatoid arthritis compared to the healthy population in Shiraz, Iran. Shiraz E-Medical Journal. 2017;18(3).

  13. Ratanasiripong NT, Ratanasiripong P. Predictive factors of quality of life among systemic lupus erythematosus patients in Thailand: a web-based cross-sectional study. Qual Life Res. 2020;29:2415–23.

    Article  PubMed  Google Scholar 

  14. Yentür SB, Karatay S, Oskay D, Tufan A, Küçük H, Haznedaroğlu Ş. Kinesiophobia and related factors in systemic lupus erythematosus patients. Turk J Med Sci. 2019;49(5):1324–31.

    Article  Google Scholar 

  15. Hora TCd, Lima K, Maciel RRBT. The effect of therapies on the quality of life of patients with systemic lupus erythematosus: a meta-analysis of randomized trials. Adv Rheumatol. 2019;59.

  16. Hosseini N, Bonakdar Z, Gholamrezaei A, Mirbagher L. Linguistic validation of the LupusQoL for the assessment of quality of life in Iranian patients with systemic lupus erythematosus Int j rheumatol. 2014;2014.

  17. Kuriya B, Gladman D, Ibañez D, Urowitz M. Quality of life over time in patients with systemic lupus erythematosus. Arthritis Rheum. 2008;59(2):181–5.

    Article  PubMed  Google Scholar 

  18. McElhone K, Abbott J, Shelmerdine J, Bruce I, Ahmad Y, Gordon C, et al. Development and validation of a disease-specific health-related quality of life measure, the LupusQol, for adults with systemic lupus erythematosus. Arthritis Rheum. 2007;57(6):972–9.

    Article  PubMed  Google Scholar 

  19. Bombardier C, Gladman D, Urowitz M, Caron D, Chang C, Austin A, et al. Derivation of the SLEDAI. A disease activity index for lupus patients. Arthritis & Rheumatism: Official Journal of the American College of Rheumatology. 1992;35(6):630–40.

    Article  Google Scholar 

  20. Seawell A, Danoff-Burg S. Psychosocial research on systemic lupus erythematosus: a literature review. Lupus. 2004;13(12):891–9.

    Article  PubMed  Google Scholar 

  21. Mazzoni D, Cicognani E, Prati G. Health-related quality of life in systemic lupus erythematosus: a longitudinal study on the impact of problematic support and self-efficacy. Lupus. 2017;26(2):125–31.

    Article  PubMed  Google Scholar 

  22. Bae EH, Lim SY, Han K-D, Jung J-H, Choi HS, Kim HY, et al. Trend of prevalence and incidence of systemic lupus erythematosus in South Korea, 2005 to 2015: a nationwide population-based study. Korean J Intern Med. 2020;35(3):652.

    Article  PubMed  Google Scholar 

  23. Conti F, Perricone C, Reboldi G, Gawlicki M, Bartosiewicz I, Pacucci V, et al. Validation of a disease-specific health-related quality of life measure in adult italian patients with systemic lupus erythematosus: LupusQoL-IT. Lupus. 2014;23(8):743–51.

    Article  PubMed  Google Scholar 

  24. McElhone K, Castelino M, Abbott J, Bruce I, Ahmad Y, Shelmerdine J, et al. The LupusQoL and associations with demographics and clinical measurements in patients with systemic lupus erythematosus. J Rheumatol. 2010;37(11):2273–9.

    Article  PubMed  Google Scholar 

  25. Yazdany J. Health-related quality of life measurement in adult systemic lupus erythematosus: the LupusQoL, SLEQoL, and L-QoL. Arthritis Care and Research. 2011;63(11):413–19.

    Google Scholar 

  26. Akbarian M, Faezi ST, Gharibdoost F, Shahram F, Nadji A, Jamshidi AR, et al. Systemic lupus erythematosus in Iran: a study of 2280 patients over 33 years. Int J Rheum Dis. 2010;13(4):374–9.

    Article  PubMed  Google Scholar 

  27. Thumboo J, Strand V. Health-related quality of life in patients with systemic lupus erythematosus: an update. Annals Acad Med Singap. 2007;36(2):115.

    Article  Google Scholar 

  28. Doria A, Rinaldi S, Ermani M, Salaffi F, Iaccarino L, Ghirardello A, et al. Health-related quality of life in italian patients with systemic lupus erythematosus. II. Role of clinical, immunological and psychological determinants. Rheumatology. 2004;43(12):1580–6.

    Article  PubMed  Google Scholar 

  29. Shi Y, Li M, Liu L, Wang Z, Wang Y, Zhao J, et al. Relationship between disease activity, organ damage and health-related quality of life in patients with systemic lupus erythematosus: a systemic review and meta-analysis. Autoimmun rev. 2021;20(1):102691.

    Article  PubMed  Google Scholar 

  30. Jeong M. Predictors of health-related quality of life in korean adults with diabetes mellitus. Int J Environ Res Public Health. 2020;17(23):9058.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Ratanasiripong NT, Ratanasiripong P. Predictive factors of quality of life among systemic lupus erythematosus patients in Thailand: a web-based cross-sectional study. Qual Life Res. 2020;29(9):2415–23.

    Article  PubMed  Google Scholar 

  32. Elera-Fitzcarrald C, Fuentes A, González LA, Burgos PI, Alarcón GS, Ugarte-Gil MF. Factors affecting quality of life in patients with systemic lupus erythematosus: important considerations and potential interventions. Expert Rev Clin Immunol. 2018;14(11):915–31.

    Article  PubMed  Google Scholar 

  33. Emamikia S, Oon S, Gomez A, Lindblom J, Borg A, Enman Y, et al. Impact of remission and low disease activity on health-related quality of life in patients with systemic lupus erythematosus. Rheumatology. 2022;61(12):4752–62.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Gomez A, Hani Butrus F, Johansson P, Åkerström E, Soukka S, Emamikia S, et al. Impact of overweight and obesity on patient-reported health-related quality of life in systemic lupus erythematosus. Rheumatology. 2021;60(3):1260–72. https://doi.org/10.1002/acr.20636.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

The authors are grateful to the patients who participated in this study. We are grateful to the Vice-Chancellor for Research Affairs at the Shiraz University of Medical Science for their support. Special thanks to Dr. Zahra Habibagahi and Dr. Nasibeh Sargazi Moghadam for their help in conducting this article.

Funding

This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

Author information

Authors and Affiliations

Authors

Contributions

SA.H, S.F, Z.A, and SO.H were involved in the conception and organization of the study. SA.H, S.F, A.MM and SO.H wrote the main manuscript text. SA.H, SO.H, and N.H were involved in the execution and data collection of the study; SA.H, S.F, Z.A, A.MM and N.H participated in statistical analysis, design and/or execution. All authors were involved in preparing, reviewing, reading, and approving the final manuscript.

Corresponding author

Correspondence to Somayeh Hashemi.

Ethics declarations

Competing interests

The authors declare that they have no competing interests.

Ethics approval and consent to participate

The study approval was obtained from the Ethics committee of Shiraz University of Medical Sciences (ethical code of IR.SUMS.REC.1395.138). Before registration, all persons gave informed consent before their inclusion in the study, and for illiterate individuals, informed consent was obtained from their legal guardian or parent. The guidelines on research involving the use of human subjects (beneficence, non-maleficence, integrity, confidentiality, and voluntarism) were strictly adhered to according to the Helsinki Declaration. Participants did not incur any cost by participating in this study, and there was no financial inducement.

Consent for publication

Not applicable.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hashemi, S., Farahbakhsh, S., Aghakhani, Z. et al. Health-related quality of life and its related factors in patients with systemic lupus erythematosus in southwest Iran: a cross-sectional study. BMC Psychol 11, 259 (2023). https://doi.org/10.1186/s40359-023-01300-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s40359-023-01300-5

Keywords