Previous studies demonstrated that people socially share both their positive and negative emotional experiences. This article reports two studies aimed to clarify and assess the motives underlying this human propensity to share emotions. A large number of motives were collected from 182 participants (Study 1).

BackgroundThe subjective experience of young women with breast cancer has some particular features linked to the impact of the disease and its treatment on their age-related issues (e.g. desire for a child, couple relationship, career management). Despite these specific concerns, no questionnaire currently targets the young breast cancer patient’s quality of life, subjective experience or common problems when facing cancer. This study presents the psychometric validation of an inventory that aimed to measure the impact of breast cancer on the quality of life of young women (<45 years of age) with non-metastatic disease.Methods546 women aged <45 years when diagnosed with a non-metastatic breast cancer were recruited in 27 French cancer research and treatment centers. They answered a self-reported questionnaire created from verbatim collected by non-directive interviews carried out with 69 patients in a first qualitative study. Exploratory and confirmatory analyses were conducted in order to obtain the final structure of the scale. Internal consistency, test-retest reliability and concurrent validity with quality of life questionnaires currently used (QLQ-C30 and the QLQ-BR23 module) were then assessed.ResultsThe YW-BCI36 contains 36 items and highlights 8 factors: 1) feeling of couple cohesion, 2) negative affectivity and apprehension about the future, 3) management of child(ren) and of everyday life, 4) sharing with close relatives, 5) body image and sexuality, 6) financial difficulties, 7) deterioration of relationships with close relatives, and 8) career management. Psychometric analyses indicated good internal consistency (Cronbach’s alpha values ranging from 0.76 to 0.91) and temporal reliability (Bravais-Pearson correlations ranging from 0.66 to 0.85). As expected, there were quite strong correlations between the YW-BCI36 and the QLQ-C30 and QLQ-BR23 scores (r ranging from 0.20 to −0.66), indicating adequate concurrent validity.ConclusionsThe YW-BCI36 was confirmed as a valid scale for evaluating the subjective experience of breast cancer in young women. This instrument could help to identify the problems of these women more precisely, in order to respond to them better by an optimal care management. This scale may improve the medical, psychological and social care of breast cancer patients.

Cancer-free women who are from families with an inherited form of breast and/or ovarian cancer (BRCA1/2) are referred to as 'unaffected non-carriers' when the results of genetic testing for the inherited gene are negative. Recent studies have identified overscreening behaviours (undergoing more screening tests for cancer than are medically warranted) among these women, even though they do not require specific cancer monitoring. Overscreening behaviours deserve particular attention due to their potential psychological drivers and implications. The principal objective of this study was to examine the factors, including state anxiety, feelings of self-vulnerability, and the comparative perception of cancer risk that might explain these overscreening behaviours. Unaffected non-carriers women (n = 77) were asked about these different variables. Overscreening was associated with and determined by feelings of self-vulnerability and the comparative perception of cancer risk, but was not associated with anxiety. An increase in feelings of self-vulnerability or elevated comparative pessimism (CP) was related to the participants' decision to be frequently screened. Patients' perceptions of the risk should be considered in measures or information aimed at preventing inappropriate overscreening behaviours.

Aim: The caregiving situation differs according to the type of relationship between the patient caregiver, and among dementia caregivers, living with the person with dementia can contribute to caregiver distress. This study aimed to identify the predictors of caregiver distress based on caregiver profile: spouse, adult child living with the person with dementia, and adult child not living with the person with dementia. Method: In total, 213 caregivers participated in this study. Their responses to questionnaires helped identify the positive and negative implications of the caregiving situation and the level of caregiver distress. The analyses consisted of univariate and multiple linear regression models using a forward method. Results: Based on the standardized beta scores, the variables that are the most significant in predicting spouse caregiver distress are the impact on health and impact on schedule. The variable that is the most significant in predicting the distress of adult child caregivers living with the person with dementia is the impact on health. The variables that are the most significant in predicting the distress of adult child caregivers not living with the person with dementia are the impact on health, impact on schedule, and impact on finances. Conclusion: The results make it possible to consider different approaches to providing support, including evaluating the health of all caregivers, giving guidance on accepting help and focusing caregivers' actions on their values for spouse caregivers, providing family mediation for adult child caregivers living with the person with dementia, and offering information and assistance on the available aids for adult child caregivers not living with the person with dementia.