Validation and Psychometric Evaluation of the Italian Version of the Bergen-Yale Sex Addiction Scale

Excessive problematic sexual behavior in the form of compulsive sexual behavior disorder (CSBD), hypersexuality (HS), and sex addiction has gained increasing credibility in recent years and has led to the development of various psychometric instruments to assess such behavior. However, there is still considerable controversy over the operational definition of such concepts and whether they can be used interchangeably to describe the behavior. One recently developed tool is the Bergen-Yale Sex Addiction Scale (BYSAS) based on the "components model of addiction." The present study validated the Italian version of the BYSAS. The BYSAS was administered to a large Italian-speaking sample of Italian adults [N = 1230, aged 18 to 67 years] along with psychometric instruments assessing the "Big Five" personality traits, self-esteem, depression, and two other measures of addictive sexual behavior (i.e., PATHOS and Shorter PROMIS Questionnaire-Sex Subscale). Confirmatory factorial analysis supported a one-factor solution. Furthermore, the scale had good internal consistency (Cronbach's α = 0.787). The BYSAS was positively associated with extroversion, openness to experience, depression, and problematic sexual behavior, and negatively associated with self-esteem, conscientiousness, emotional stability, agreeableness, and age. Based on the findings, the BYSAS is a brief, psychometrically reliable and valid measure for assessing sex addiction among Italian adults.

Receptive music therapy versus group music therapy with breast cancer patients hospitalized for surgery

Hospitalization for breast surgery is a distressing experience for women. This study investigated the impact of music therapy (MT), an integrative approach that is characterized by the establishment of a therapeutic relationship between patients and a certified music therapist, through different musical interventions targeted to the specific needs of the patients. The impact of two different MT experiences was compared on anxiety and distressing emotions.

METHODS

One hundred fifty-one patients during hospitalization for breast surgery were randomly assigned to two music therapy treatment arms: individual/receptive (MTri) vs. group/active-receptive integrated (MTiGrp). Stress, depression, anger, and need for help were measured with the emotion thermometers (ET) and State Trait Anxiety Inventory Y-1 form (STAY-Y1). Data were collected before and after the MT intervention.

RESULTS

Both types of MT interventions were effective in reducing all the variables: stress, depression, anger, and anxiety (T Student p‹0.01). Patients' perception of help received was correlated with a significant reduction in anxiety and distressing emotions during hospitalization for breast surgery.

CONCLUSION

Considerations regarding the implementation of MT interventions in clinical practice are discussed. In individual receptive MT, there was a significant decrease in anxiety levels, whereas in the integrated MT group, there was a higher perception of help received and use of inter-individual resources.

Psychological well-being in cancer outpatients during COVID-19

PURPOSE

The psychological status of cancer outpatients receiving anti-neoplastic treatment during the lockdown in a Italian non-COVID Cancer Center, was been investigated with the following aims: to measure the levels of post-traumatic stress symptoms, depression and anxiety; to compare patients with different cancer sites; to compare the anxiety and depression levels measured in this emergency period between cancer and non-cancer patients and between cancer patients before and after the emergency.

METHODS

The following questionnaires were used: The Hospital Anxiety and Depression Scale (HADs) and the Impact of Event Scale-Revised (IES-R).Worries regarding the COVID-19 on patients' lives, socio-demographic and clinical details were collected using a brief structured questionnaire.

RESULTS

One-hundred seventy-eight outpatients were enrolled. We found that 55% of patients were above the cut-off for HADS general scale and 23.7% had severe level of PTSD. The 68% of patients declared that their worries have increased during the pandemic especially for women. Patients with lung cancer have higher general distress compared with patients with breast cancer and lymphoma. The non cancer sample had values significantly higher both for the IES-R scales and for HADS Depression subscale. Finally, cancer patients who experienced the health emergency showed higher levels of anxiety than those measured 2 years ago.

CONCLUSION

Cancer out-patients of the present sample have severe post-traumatic stress symptoms and psychological distress, those with lung cancer are at higher risk and may need special attention. Non-oncological subjects have higher depression levels than cancer patients.

Nursing Coaching Can Improve the Quality of Life and Immune-Endocrine Condition in Hospitalized Cancer Patients

INTRODUCTION

Any cancer diagnosis induces fear and shocking emotional experiences accompanied by anxiety, depression, unpredictability, and distress. The emotional effect of a cancer diagnosis and the rigidity of cancer treatment negatively impact the quality of life (QoL) of patients, and this may continue after treatment. Additionally, emotional distress induces neuroendocrine stress activation systems and raises stress hormone secretion by causing immunological dysfunctions. The present narrative review aims to describe nursing coaching approaches that improve QoL perceptions among cancer patients during their hospitalization.

METHODS

This review was carried out using the PRISMA methodology until the end of November 2023 through PubMed, Scopus, Web of Science, and CINAHL databases. Researchers systematically collected all the currently available literature. The search terms and boolean operators used to combine keywords were: "QoL" AND "hospitalization" AND "cancer patients" AND "nursing coaching".

RESULTS

Four manuscripts were selected in the present review. One manuscript belonged to the British Nursing Database and was a mixed-block-randomized study; one belonged to Scopus, which was also in the PubMed, WoS, and Medline and was a study protocol for an RCT and two manuscripts belonged to the PubMed database and were all RCTs.

CONCLUSION

Nursing coaching improved QoL perceptions in cancer patients during their hospitalization. Patients were found to prefer in-person interventions to nurse-led ones, which improved QoL perceptions. However, further interventional studies need to be performed in order to better address coaching nursing interventions during the hospitalization of cancer patients.

A Machine Learning Approach for Predicting Capsular Contracture after Postmastectomy Radiotherapy in Breast Cancer Patients

In recent years, immediate breast reconstruction after mastectomy surgery has steadily increased in the treatment pathway of breast cancer (BC) patients due to its potential impact on both the morpho-functional and aesthetic type of the breast and the quality of life. Although recent studies have demonstrated how recent radiotherapy techniques have allowed a reduction of adverse events related to breast reconstruction, capsular contracture (CC) remains the main complication after post-mastectomy radio-therapy (PMRT). In this study, we evaluated the association of the occurrence of CC with some clinical, histological and therapeutic parameters related to BC patients. We firstly performed bivariate statistical tests and we then evaluated the prognostic predictive power of the collected data by using machine learning techniques. Out of a sample of 59 patients referred to our institute, 28 patients (i.e., 47%) showed contracture after PMRT. As a result, only estrogen receptor status (ER) and molecular subtypes were significantly associated with the occurrence of CC after PMRT. Different machine learning models were trained on a subset of clinical features selected by a feature importance approach. Experimental results have shown that collected features have a non-negligible predictive power. The extreme gradient boosting classifier achieved an area under the curve (AUC) value of 68% and accuracy, sensitivity, and specificity values of 68%, 64%, and 74%, respectively. Such a support tool, after further suitable optimization and validation, would allow clinicians to identify the best therapeutic strategy and reconstructive timing.