ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2018
Effects of risk factors for and components of metabolic syndrome on the quality of life of patients with systemic lupus erythematosus: a structural equation modeling approach.
Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 12 citations in OpenAlex.
- Multidisciplinary care in patients with systemic lupus erythematosus: a randomized controlled trial in China.International journal of clinical pharmacy · 2019Trial
- Metabolic syndrome and health-related quality of life: unraveling the role of gender (A SUMS employees cohort-based study).BMC research notes · 2025Article
- Association of glucocorticoid doses and emotional health in lupus low disease activity state (LLDAS): a cross-sectional study.Arthritis research & therapy · 2021Article
- Associations of metabolic syndrome in SLE.Lupus science & medicine · 2020Article
- Anxiety and Mood Disorders in Systemic Lupus Erythematosus: Current Insights and Future Directions.Current rheumatology reports · 2018Review
Corrections and comments
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Authors and funding
15 authors at 10 institutions in 1 country.
Funding
Abstract
purposeThis study assessed the relationships among the risk factors for and components of metabolic syndrome (MetS) and health-related quality of life (HRQOL) in a hypothesized causal model using structural equation modeling (SEM) in patients with systemic lupus erythematosus (SLE).
methodsOf the 505 SLE patients enrolled in the Korean Lupus Network (KORNET registry), 244 had sufficient data to assess the components of MetS at enrollment. Education level, monthly income, corticosteroid dose, Systemic Lupus Erythematosus Disease Activity Index, Physicians' Global Assessment, Beck Depression Inventory, MetS components, and the Short Form-36 at the time of cohort entry were determined. SEM was used to test the causal relationship based on the Analysis of Moment Structure.
resultsThe average age of the 244 patients was 40.7 ± 11.8 years. The SEM results supported the good fit of the model (χ
conclusionsIn our causal model, MetS risk factors were related to MetS components. The latter had a negative indirect impact on HRQOL, through depression. Clinicians should consider socioeconomic status and medication and seek to modify disease activity, MetS, and depression to improve the HRQOL of SLE patients.
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