Factors associated with intimacy in female Taiwanese patients with systemic lupus erythematosus: a cross-sectional study
Bibliographic record
Abstract
OBJECTIVE: The aim of this study was to investigate the association of demographic factors, clinical manifestations and disease activity of systemic lupus erythematosus (SLE) with intimate relationships in female patients with SLE. DESIGN: This was a cross-sectional study based on questionnaires. SETTING: This study was conducted at a regional teaching hospital in southern Taiwan from April to September 2019. PARTICIPANTS: Adult patients with SLE recruited from the outpatient rheumatology clinics of the study hospital. PRIMARY OUTCOME MEASURE: Disease-specific quality of life assessed using the Lupus Quality of Life questionnaire (LupusQoL). RESULTS: A total of 243 female patients with SLE were enrolled. The results of the multiple linear regression analysis indicated that the independent factors associated with a higher score in the intimate relationships domain of the LupusQoL included the age group under 40 years (p=0.001), education level of college or above (p=0.005), being employed (p<0.001), a better self-reported health status (p=0.012) and a lower SLE-Disease Activity Score (SLE-DAS) score (p=0.010). In addition, the intimate relationships domain was significantly and independently associated physical health (p=0.001), fatigue (p=0.006) and burden to others (p=0.002) domains of the LupusQoL. CONCLUSIONS: Physicians should be vigilant regarding the intimate relationships aspect of the health-related quality of life in female patients with SLE, especially in those who are older, unemployed, have a low educational level, poor self-reported health status, higher SLE-DAS, fatigue, and feeling of burden to others.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".