Introduction: Sexual health concerns are common and significantly impact quality of life, but many people do not seek treatment due to embarrassment and other barriers. A biopsychosocial model of assessment and treatment acknowledges the biological, psychological, and social contributors to sexual difficulties and suggests that all these domains should be evaluated.
Objectives: This paper provides an overview of the major psychological factors contributing to sexual difficulties and offer an evidence-based approach for primary care clinicians to assess and treat these issues.
Low libido is a common and potentially distressing problem among midlife and older women. We recently reported results from a pilot randomized controlled trial of a mindfulness intervention for midlife and older cisgender women with low libido; the purpose of this qualitative investigation is to illustrate women's experiences with being recruited for, enrolling in, and participating in the trial. We conducted individual interviews with a subset of trial participants, some of whom attended a group-based mindfulness intervention and some attended an educational control group (N = 25).
View Article and Find Full Text PDFWhile recent research has advanced our understanding of asexuality, very little effort has been devoted to examining biomarkers and possible prenatal correlates of asexuality. In response, we recruited a large international sample (N = 1634 women and men) to explore associations between sibling composition and asexual sexual orientation (n = 366) and to replicate previously reported sibship effects in individuals with a same-sex attracted orientation (n = 276) and bisexual sexual orientation (n = 267) compared to heterosexual individuals (n = 725). Our analyses used two of the most recent statistical approaches that attempt to disentangle older sibling effects from family size effects (Ablaza et al.
View Article and Find Full Text PDFBackground: In Canada, many patients face substantial out-of-pocket costs for prescription medication, which may affect their ability to take their medications as prescribed. We sought to conduct a comprehensive analysis of the burden and predictors of cost-related nonadherence in Canada.
Methods: Using pooled data from the 2015, 2016, 2018, 2019, and 2020 iterations of the Canadian Community Health Survey, we calculated weighted population estimates of the burden of cost-related nonadherence in the preceding 12 months and used logistic regression models to measure the association of 15 demographic, health, and health system predictors of cost-related nonadherence overall and stratified by sex.