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 |
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Erscheinungsjahr: |
2020 |
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Erschienen: |
2020 |
Enthalten in: |
Zur Gesamtaufnahme - volume:19 |
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Enthalten in: |
BMC palliative care - 19(2020), 1 vom: 12. Okt., Seite 156 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Feng, Lin-Sen [VerfasserIn] |
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Links: |
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Themen: |
Cancer |
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Anmerkungen: |
Date Completed 28.06.2021 Date Revised 28.06.2021 published: Electronic Citation Status MEDLINE |
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doi: |
10.1186/s12904-020-00662-6 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM316158062 |
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520 | |a BACKGROUND: This study aimed to devise a Cancer symptoms Discrimination Scale (CSDS) suitable for China based on a cross-sectional survey | ||
520 | |a 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 | ||
520 | |a 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 | ||
520 | |a 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 | ||
650 | 4 | |a Journal Article | |
650 | 4 | |a Cancer | |
650 | 4 | |a Cross-sectional survey | |
650 | 4 | |a Influencing factors | |
650 | 4 | |a Scale | |
650 | 4 | |a Symptoms discrimination | |
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700 | 1 | |a Zhang, Lan-Yu |e verfasserin |4 aut | |
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700 | 1 | |a Zhang, Shi-Yu |e verfasserin |4 aut | |
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