Development and validation of the cancer symptoms discrimination scale : a cross-sectional survey of students in Yunnan, China

BACKGROUND: This study aimed to devise a Cancer symptoms Discrimination Scale (CSDS) suitable for China based on a cross-sectional survey.

METHODS: The CSDS was developed using the classical measurement theory. A total of 3610 students from Yunnan province, China, participated in the cross-sectional survey. The test version of the scale was modified by the item analysis method, and after the official version of CSDS was developed, its reliability and validity were verified. A univariate analysis of variance and a multiple linear regression model were used to analyze the influencing factors of cancer symptoms discrimination among the university/college students.

RESULTS: There were 21 items in total for the CSDS, including 3 subscales --- common clinical manifestations (11 items), physical appearance defects (6 items), and drainage tube(s) wearing (4 items). This CSDS had good validity (GFI = 0.930, AGFI = 0.905, RMR = 0.013, I-CVIs> 0.80, and the Pearson correlation coefficient was satisfactory.) and reliability (Cronbach's alpha = 0.862, spearman-brown coefficient = 0.875). The multiple linear regression showed that certain factors may affect the students' discrimination level against cancer symptoms (P < 0.05), including gender, major, current education degree, guardian's highest record of formal schooling, self-rated health status, history of care for cancer patients, family relationship, ways of cancer knowledge acquisition, good/poor understanding of cancer-related information, degree of cancer fear, and their perception of cancer infectiousness.

CONCLUSION: This CSDS, with good reliability and validity, can be used for the evaluation of the discrimination risk and levels against cancer symptoms among healthy students.

Medienart:

E-Artikel

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

Zur Gesamtaufnahme - volume:19

Enthalten in:

BMC palliative care - 19(2020), 1 vom: 12. Okt., Seite 156

Sprache:

Englisch

Beteiligte Personen:

Feng, Lin-Sen [VerfasserIn]
Dong, Zheng-Jiao [VerfasserIn]
Yan, Ruo-Yu [VerfasserIn]
Tu, Chang-Ling [VerfasserIn]
Zhang, Lan-Yu [VerfasserIn]
Shen, Jiang-Yun [VerfasserIn]
Zhang, Shi-Yu [VerfasserIn]

Links:

Volltext

Themen:

Cancer
Cross-sectional survey
Influencing factors
Journal Article
Scale
Symptoms discrimination

Anmerkungen:

Date Completed 28.06.2021

Date Revised 28.06.2021

published: Electronic

Citation Status MEDLINE

doi:

10.1186/s12904-020-00662-6

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM316158062