Literature DB >> 33673627

An Improved Stress-Scale Specifically Designed to Measure Stress of Women with Newly Diagnosed Breast Cancer.

Tso-Ying Lee1,2, Shih-Chun Hsing3,4, Chin-Ching Li5.   

Abstract

Most breast cancer patients are middle-aged women actively involved in establishing a family, developing a career, or raising children. With the exception of the Newly Diagnosed Breast Cancer Stress Scale (NDBCSS), few stress scales have been designed for women with breast cancer. This study checked the dimensionality of the NDBCSS by confirmatory factor analysis (CFA) and the results showed a poor fit, indicating an urgent need for improvement. Exploratory factor analysis (EFA) using the varimax rotation method was performed to improve the model, the revised NDBCSS (NDBCSS-R), which showed a good Kaiser-Meyer-Olkin value, Bartlett's test of sphericity, and internal consistency reliability. The NDBCSS-R showed improved indices compared with NDBCSS, including: chi-square fit statistics/degree of freedom (CMIN/DF), goodness-of-fit index (GFI), adjusted goodness of fit index (AGFI), normed fix index (NFI), relative fit index (RFI), incremental fix index (IFI), Tucker-Lewis index (TLI), comparative fix index (CFI), root mean square error of approximation (RMSEA), root mean square residual (RMR), parsimonious goodness-fit-index (PGFI), and parsimonious normed fit index (PNFI). In conclusion, the improved NDBCSS-R can provide health professionals with an early understanding of the stress levels of women with breast cancer so that they can provide immediate medical intervention to prevent vicious cycles in a timely manner.

Entities:  

Keywords:  NDBCSS; breast cancer; confirmatory factor analysis; exploratory factor analysis; stress scale

Mesh:

Year:  2021        PMID: 33673627      PMCID: PMC7967728          DOI: 10.3390/ijerph18052346

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  45 in total

1.  Principles and practice in reporting structural equation analyses.

Authors:  Roderick P McDonald; Moon-Ho Ringo Ho
Journal:  Psychol Methods       Date:  2002-03

2.  Effect of treatment and mammography detection on breast cancer survival over time: 1990-2007.

Authors:  Henry G Kaplan; Judith A Malmgren; Mary K Atwood; Gregory S Calip
Journal:  Cancer       Date:  2015-04-14       Impact factor: 6.860

3.  [Reliability and validity for Chinese version of the 9-item Shared Decision Making Questionnaire].

Authors:  Bihua Luo; Shuiyuan Xiao
Journal:  Zhong Nan Da Xue Xue Bao Yi Xue Ban       Date:  2019-07-28

4.  Burnout, perceived stress, and depression among cardiology residents in Argentina.

Authors:  Silvina V Waldman; Juan Cruz Lopez Diez; Hernán Cohen Arazi; Bruno Linetzky; Salvador Guinjoan; Hugo Grancelli
Journal:  Acad Psychiatry       Date:  2009 Jul-Aug

5.  Mastectomy, body deconstruction, and impact on identity: a qualitative study.

Authors:  C Piot-Ziegler; M-L Sassi; W Raffoul; J-F Delaloye
Journal:  Br J Health Psychol       Date:  2009-10-16

6.  Adaptation process, participation and depression over six months in first-stroke individuals and spouses.

Authors:  Annie Rochette; Gina Bravo; Johanne Desrosiers; Denise St-Cyr Tribble; Annick Bourget
Journal:  Clin Rehabil       Date:  2007-06       Impact factor: 3.477

Review 7.  Depression and anxiety in long-term cancer survivors compared with spouses and healthy controls: a systematic review and meta-analysis.

Authors:  Alex J Mitchell; David W Ferguson; John Gill; Jim Paul; Paul Symonds
Journal:  Lancet Oncol       Date:  2013-06-05       Impact factor: 41.316

Review 8.  Treatment related impairments in arm and shoulder in patients with breast cancer: a systematic review.

Authors:  Janine T Hidding; Carien H G Beurskens; Philip J van der Wees; Hanneke W M van Laarhoven; Maria W G Nijhuis-van der Sanden
Journal:  PLoS One       Date:  2014-05-09       Impact factor: 3.240

9.  Recent insights into breast cancer incidence trends among four Asian countries using age-period-cohort model.

Authors:  Sumaira Mubarik; Saima Shakil Malik; Zhenkun Wang; Chunhui Li; Muhammad Fawad; Chuanhua Yu
Journal:  Cancer Manag Res       Date:  2019-09-03       Impact factor: 3.989

10.  Higher breast cancer prevalence associated with higher socioeconomic status in the South Korean population; Has it resulted from overdiagnosis?

Authors:  Seong-Woo Choi; So-Yeon Ryu; Mi-Ah Han; Jong Park
Journal:  PLoS One       Date:  2018-07-12       Impact factor: 3.240

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