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Background With the population ages, the mental health of the elderly has become a hot topic of concern for the whole society. Previous studies have shown that mental health problems in the elderly are closely related to well-being, while personality traits have a greater impact on subjective well-being. However, the internal relationship between the two in the elderly population is still unclear. Objective To explore the relationship between subjective well-being and personality traits of the elderly. Methods From July to August 2022, 511 elderly people in Lincun, Tangxia Town, Dongguan City, Guangdong Province were selected as the subjects by using cluster sampling method, conduct a site survey by using the questionnaire survey. The subjective well-being and personality traits of the elderly were evaluated by the Memorial University of Newfoundland Scale of Happiness (MUNSH) and the China Big Five Personality Scale (CBF-PI-15) respectively. Pearson correlation analysis was used to analyze the correlation between subjective well-being and personality traits of the elderly, canonical correlation analysis was used to construct a standardized canonical correlation model, canonical structure analysis, and canonical redundancy analysis. Results The total score of MUNSH in the elderly was (39.72±7.74) , and the scores of MUNSH in each dimension were positive experience (9.48±3.24) , positive emotion (8.61±2.24) , negative experience (1.44±2.31) , and negative emotion (0.93±1.80) from high to low. The scores of CBF-PI-15 in each dimension of the elderly were agreeableness (14.04±2.60) , extroversion (11.77±4.05) , conscientiousness (10.75±3.57) , openness (7.20±3.90) and neuroticism (6.34±3.22) . Pearson correlation analysis showed that subjective well-being was positively correlated with conscientiousness (r=0.334) and openness (r=0.219) (P

The minimal clinically important difference (MCID) is an important concept with big appeal in a field struggling to interpret quality of life (QOL) and other patient-reported outcomes (PRO), is also a bridge between statistics and clinical medicine. This study uses the ROC curve to formulate the MCID value of the Quality of Life Instruments for Chronic Diseases of Systemic lupus erythematosus (QLICD-SLE V2.0) scale. Using the representative item "In general, would you say your health is" of the MOS item short form health survey(SF-36) as an anchor, the questionnaire of QLICD-SLE V2.0 and the anchor item were used to investigate the patients on the first day of hospitalization, and the day before the patient was discharged. 279 patients with lupus erythematosus were participated in this longitudinal follow-up study. The ROC curve was constructed by using the classification based on the anchor item as the gold standard and the difference score of the scale as the test variable. The cut-off point corresponding to the maximum value of the Youden index in the ROC curve is taken as the minimum clinical importance difference (MCID) value of the QLICD-SLE (V2.0) scale. The Results showed that the MCID of physical domain, psychological domain, social domain, general module, specific module and QLICD-SLE (V2.0) total scale are 8.3, 2.3, 2.5, 2.7, 9.2 and 3.2, respectively. Area under the ROC curve of QLICD-SLE (V2.0) is 0.898, P (Area = 0.5) < 0.001, the sensitivity is 100%, the specificity is 66.9%. It concluded that if the total scores after treatments changes at least 3.2 points positively, the treatment intervention can be considered as clinically significant. It is more convincing to use the corresponding cut-off point as the MCID for ROC curve method can visualize the sensitivity and specificity. [ABSTRACT FROM AUTHOR]

Rheumatoid Arthritis is a more serious threatening to people and suitable for QOL measurement. A few specific QOL instruments are available without considering Chinese culture. The present study was aimed to develop and validate the Rheumatoid Arthritis Scale among the System of Quality of Life Instruments for Chronic Diseases (QLICD-RA V2.0). The data collected from 379 patients with RA was used to evaluate the psychometric properties of the scale. The reliability was evaluated by the internal consistency Cronbach's α, test–retest reliability Pearson correlation r and intra-class correlation (ICC). We evaluated the construct validity and criteria-related validity by correlation analysis and structural equation modeling. We compared the differences in scores of QLICD-RA before and after treatment and used the Standard Response Mean (SRM) to assess the responsiveness. The results showed that the internal consistency coefficient Cronbach's α values were greater than 0.70. The correlations r and ICCs were greater than 0.80. The correlation analysis and structural equation modeling confirmed good construct validity and criterion-related validity. The SRM ranges from 0.07 to 0.27 for significant domains/facets. It concluded that QLICD-RA (2.0) is a reliable and valid instrument to measure QOL among patients with RA. [ABSTRACT FROM AUTHOR]