Factor analysis of the modified Sexual Adjustment Questionnaire-Male

Female urine incontinence: vaginal erbium laser (VEL) effectiveness and safety

Urinary incontinence is a common health problem that impacts the quality of life of women at different ages. Its physiopathology is not unequivocal, and it is necessary to consider the stress urinary incontinence (SUI), the overactive bladder syndrome and the mixed incontinence (MUI). According to the type of incontinence, its impact on the quality of life and age of the patients, therapeutic strategies are currently summarized in physiotherapy, surgery and drug treatments. We already know the benefit/risk ratio of each of these strategies. Our objective is to evaluate the potential effectiveness and safety of the VEL, an innovative vaginal laser technique (VEL - Vaginal Erbium Laser, erbium yttrium-aluminum-garnet -Er: YAG) a non-invasive laser proposed as a treatment for SUI, overactive bladder syndrome and MUI. The mechanisms of action of lasers are discussed in general and those of VEL in particular with the description of the Smooth® mode. To do this, we have collected the 21 published studies including the first randomized vs. placebo and two pilot studies of intra-urethral VEL. In conclusion: VEL procedures already have their place between the rehabilitation of the perineal floor and surgery. Further properly sized, randomized studies are needed to evaluate the laser treatments in comparison with other therapies, as well as to assess the duration of the therapeutic effects and the safety of repeated applications.

Sexuality After Treatment of Diffuse Large B-cell Lymphoma: Patients' Experiences and Psychometric Testing of the Sexual Adjustment Questionnaire-Swedish Version II

Background

Sexuality is an important part of health-related quality of life. To ensure adequate supportive interventions, valid and reliable instruments specific to sexual changes and adjustments after cancer treatment are needed.

Objectives

The aims of this study were to test the psychometric properties of the Sexual Adjustment Questionnaire-Swedish version II (SAQ-SII) in patients treated for diffuse large B-cell lymphoma and to describe and explore patients' experiences of sexuality after treatment.

Methods

A cross-sectional study was conducted in 2019, using SAQ-SII and data from the National Quality Registry for Leukemia–subregistry for Lymphoma, which included 257 patients (25% response rate). An exploratory factor analysis was performed for psychometric evaluation. Internal consistency was assessed by Cronbach's α. Independent t tests, analysis of variance, and multiple regression were used to describe patients' experiences of sexuality.

Results

The exploratory factor analysis resulted in a 4-factor structure, explaining 65.7% of the total scale variance (SAQ-SII). The Cronbach's α for the SAQ-SII was 0.88 and varied between 0.70 and 0.89 across subscales. Sexuality was affected in various ways and extent. Sexual Interest was most affected, whereas Sexual Function was least affected. Being male, of younger age, without comorbidities, and in a relationship were associated to a higher Sexual Interest.

Conclusions

The SAQ-SII is a valid and reliable instrument to measure changes and adjustments in sexuality in patients treated for lymphoma.

Implications for Practice

Assessments of sexuality in a broad sense should be an integrated part of cancer care to ensure timely interventions for those who need and want support.

A Comparison of Missing-Data Imputation Techniques in Exploratory Factor Analysis

BACKGROUND AND PURPOSE

To compare the effects of missing-data imputation techniques, mean imputation, group mean imputation, regression imputation, and multiple imputation (MI), on the results of exploratory factor analysis under different missing assumptions.

METHODS

Missing data with different missing assumptions were generated from true data. The quality of imputed data was examined by correlation coefficients. Factor structures were compared indirectly by coefficients of congruence and directly by factor structures.

RESULTS

MI had the best quality and matching factor structure to the true data for all missing assumptions with different missing rates. Mean imputation had the least favorable results in factor analysis. The imputation techniques revealed no important differences with 10% of data missing.

CONCLUSION

MI showed the best results, especially with larger proportions of missing data.