The validity and reliability of two factor structures of the Mental Adjustment to Cancer (MAC) scale for assessing coping style was assessed by examining the relationship between the subscales, psychological distress, and quality of life (QOL) among Stage II and Stage IV breast cancer patients in four phases. First, MANOVAs assessed differences in coping, distress, and QOL across disease stages. Second, for each MAC factor structure, canonical correlation analyses assessed the relationship between coping styles, distress, and QOL, for each disease-stage group separately. Third, structural equation modeling (SEM) assessed the relationship among coping styles, distress, and QOL for all participants. Finally, the internal consistency of both MAC factor structures was assessed using Chronbach's alpha. The results were as follows: (1) significant differences across disease stages were found for coping styles using either the Watson or the Schwartz MAC subscales, but there were no differences in levels of distress or QOL; (2) for both MAC factor structures, coping style was found to be highly related to emotional distress and QOL, however, the strengths of the correlations between individual coping styles and distress/QOL indicators varied across disease stages; (3) SEM indicated that coping style was significantly related to distress and QOL when stage of disease was not considered, and that coping style and indicators of distress/QOL are separate, but highly correlated factors, as opposed to a single latent construct; and, (4) the Watson MAC subscales showed slightly better internal consistency than the Schwartz MAC subscales. Taken together, these findings highlight: (i) the validity of both MAC factor structures for clinical and research use with American breast cancer patients; (ii) the role of coping style as a mediator between disease stage and psychological distress and QOL; and, (iii) the need for refinement of certain Watson and Schwartz subscales.
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http://dx.doi.org/10.1002/(SICI)1099-1611(1998090)7:5<424::AID-PON322>3.0.CO;2-2 | DOI Listing |
Disaster Med Public Health Prep
January 2025
Department of Health Management, Ankara Yildirim Beyazit University, Ankara, Türkiye.
Objectives: This study aims to assess the quality of life (QoL) of earthquake survivors who experienced 2 major earthquakes in Türkiye on February 6, 2023, with different measurement tools.
Methods: The study was conducted in 2 centers with a total of 467 participants. For QoL measurement, face-to-face Euroqol EQ-5D-5L, Euroqol Visual Analog Scale (EQ-VAS), and Nottingham Health Profile (NHP) measurement tools were used.
BMC Surg
December 2024
Department of Obstetrics & Gynecology, Peking University Third Hospital, No. 49 Huayuan North Road, Haidian District, Beijing, 100191, China.
Introduction And Hypothesis: To investigate the mid-term outcomes of transvaginal repair for moderate-severe cystocele using autologous fascia lata harvested through a single small incision.
Methods: Between February and October 2022, 35 patients with moderate to severe cystocele undergoing transvaginal repair with autologous fascia lata were included. Patient demographics and perioperative data were collected, with follow-ups through outpatient visits or phone calls.
J Gastrointestin Liver Dis
December 2024
Department of Psychological Sciences, Faculty of Health, Arts and Design, Swinburne University of Technology, Melbourne, Australia.
Background And Aims: Despite reports of brain fog in patients with inflammatory bowel disease (IBD), empirical research into this phenomenon has been lacking. This study aimed to validate a brain fog scale and explore the relationships between IBD symptom activity, brain fog, fatigue, psychological distress, and quality of life (QoL).
Method: A cross-sectional online study.
J Diabetes Sci Technol
December 2024
Department of Family and Community Medicine, University of California San Francisco, San Francisco, CA, USA.
Background: Recent advances in diabetes care and technology, such as real-time continuous glucose monitoring, can help people live more freely, with more flexibility and fewer constraints, thereby enhancing quality of life (QOL). To date, there has been no validated means for measuring this key psychological dimension. We developed the Diabetes Constraints Scale (DCS) to assess perceived constraints pertaining to diabetes self-management.
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December 2024
Department of Obstetrics, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Background: This study aimed to identify the types of quality of life (QoL) based on the five dimensions of the EQ-5D and predict factors affecting QoL.
Methods: A multistage stratified cluster sampling survey was conducted among the staff of 12 general hospitals, 1,965 nurses completed the survey, and the data were analyzed using SPSS 26.0 and Mplus 8.
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