Validation and Application of the Chinese Version of the M. D. Anderson Symptom Inventory in Breast Cancer Patients
Objective To validate and use the Chinese Version of the M. D. Anderson Symptom Inventory (MDASI-C) to assess the symptom burden of breast cancer patients in China. Methods A total of 342 breast cancer patients in China participated in this study. Their symptoms were investigated with the MDASI-C fr...
Gespeichert in:
| Veröffentlicht in: | Current medical science 2022-04, Vol.42 (2), p.426-433 |
|---|---|
| Hauptverfasser: | , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 433 |
|---|---|
| container_issue | 2 |
| container_start_page | 426 |
| container_title | Current medical science |
| container_volume | 42 |
| creator | Chen, Ren-wang Wang, Qiong Hu, Ting Xie, Yu-xiu Chang, Hai-yan Cheng, Jing |
| description | Objective
To validate and use the Chinese Version of the M. D. Anderson Symptom Inventory (MDASI-C) to assess the symptom burden of breast cancer patients in China.
Methods
A total of 342 breast cancer patients in China participated in this study. Their symptoms were investigated with the MDASI-C from November 2020 to February 2021, and the reliability and validity of this tool were evaluated, respectively. Cluster analysis and correlation analysis were also performed.
Results
The Cronbach’s alpha coefficient values of the symptom and interference items were 0.827 and 0.880, respectively. Construct validity revealed a four-factor structure. The Kaiser—Meyer—Olkin value was 0.760. The Karnofsky Performance Status, treatment phase, and cancer stage of the patients were grouped, and the differences of scores within the groups were significant. In addition, the employment status, education level, and age of the patients were significantly correlated with the symptoms. The correlation analysis of the education level of the patients showed that most of the symptoms and interference items were reduced as the education level was increased. The top three symptoms were disturbed sleep (3.10±2.52), difficulty remembering (2.54±2.30), and fatigue (2.24±2.13). The clinical and biochemical indicators such as body mass index and neutral granulocyte lymphocyte ratio had effects on many symptoms. As the patients’ BMI increased, the patients’ pain, disturbed sleep, and difficulty remembering were aggravated, and numbness was alleviated.
Conclusion
The MDASI-C is a reliable and effective assessment tool to evaluate patients with breast cancer in China. The symptoms are related to many clinical and biochemical indicators. |
| doi_str_mv | 10.1007/s11596-022-2544-1 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2641863681</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2641863681</sourcerecordid><originalsourceid>FETCH-LOGICAL-c274t-d6466797d350170d451b73b0eda3ff7ab695e5761ae6edad1686902d6cbd5ace3</originalsourceid><addsrcrecordid>eNp9kEtPwzAQhC0EolXpD-CCfOSS4kfsJMdSXpWKQAIqbpYTb2hQ4gQ7Req_x1UAceJk78zsSPshdErJjBKSXHhKRSYjwljERBxH9ACNmWA8SrPs9TD8SXDDTEZo6n2VE06Z5DRlx2jEBadxxtIx8mtdV0b3VWuxtgbPu66uimFuS9xvAC82lQUPeA3O_5HvZ_hqhufWBDmoT7um69sGL-0n2L51O1xZfOlA-x4vtC3A4cdQGzx_go5KXXuYfr8T9HJz_by4i1YPt8vFfBUVLIn7yMhYyiRLDBeEJsTEguYJzwkYzcsy0bnMBIhEUg0yaIbKVGaEGVnkRugC-ASdD72daz-24HvVVL6AutYW2q1XTMY0lVymNETpEC1c672DUnWuarTbKUrUHrcacKuAW-1xq_3O2Xf9Nm_A_G78wA0BNgR8sOwbOPXebp0NJ__T-gURPYrD</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2641863681</pqid></control><display><type>article</type><title>Validation and Application of the Chinese Version of the M. D. Anderson Symptom Inventory in Breast Cancer Patients</title><source>MEDLINE</source><source>Springer Nature - Complete Springer Journals</source><source>Alma/SFX Local Collection</source><creator>Chen, Ren-wang ; Wang, Qiong ; Hu, Ting ; Xie, Yu-xiu ; Chang, Hai-yan ; Cheng, Jing</creator><creatorcontrib>Chen, Ren-wang ; Wang, Qiong ; Hu, Ting ; Xie, Yu-xiu ; Chang, Hai-yan ; Cheng, Jing</creatorcontrib><description>Objective
To validate and use the Chinese Version of the M. D. Anderson Symptom Inventory (MDASI-C) to assess the symptom burden of breast cancer patients in China.
Methods
A total of 342 breast cancer patients in China participated in this study. Their symptoms were investigated with the MDASI-C from November 2020 to February 2021, and the reliability and validity of this tool were evaluated, respectively. Cluster analysis and correlation analysis were also performed.
Results
The Cronbach’s alpha coefficient values of the symptom and interference items were 0.827 and 0.880, respectively. Construct validity revealed a four-factor structure. The Kaiser—Meyer—Olkin value was 0.760. The Karnofsky Performance Status, treatment phase, and cancer stage of the patients were grouped, and the differences of scores within the groups were significant. In addition, the employment status, education level, and age of the patients were significantly correlated with the symptoms. The correlation analysis of the education level of the patients showed that most of the symptoms and interference items were reduced as the education level was increased. The top three symptoms were disturbed sleep (3.10±2.52), difficulty remembering (2.54±2.30), and fatigue (2.24±2.13). The clinical and biochemical indicators such as body mass index and neutral granulocyte lymphocyte ratio had effects on many symptoms. As the patients’ BMI increased, the patients’ pain, disturbed sleep, and difficulty remembering were aggravated, and numbness was alleviated.
Conclusion
The MDASI-C is a reliable and effective assessment tool to evaluate patients with breast cancer in China. The symptoms are related to many clinical and biochemical indicators.</description><identifier>ISSN: 2096-5230</identifier><identifier>EISSN: 2523-899X</identifier><identifier>DOI: 10.1007/s11596-022-2544-1</identifier><identifier>PMID: 35314928</identifier><language>eng</language><publisher>Wuhan: Huazhong University of Science and Technology</publisher><subject>Breast Neoplasms ; Fatigue - diagnosis ; Female ; Humans ; Medicine ; Medicine & Public Health ; Psychometrics ; Reproducibility of Results ; Severity of Illness Index</subject><ispartof>Current medical science, 2022-04, Vol.42 (2), p.426-433</ispartof><rights>Huazhong University of Science and Technology 2022</rights><rights>2022. Huazhong University of Science and Technology.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c274t-d6466797d350170d451b73b0eda3ff7ab695e5761ae6edad1686902d6cbd5ace3</citedby><cites>FETCH-LOGICAL-c274t-d6466797d350170d451b73b0eda3ff7ab695e5761ae6edad1686902d6cbd5ace3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11596-022-2544-1$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11596-022-2544-1$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,778,782,27913,27914,41477,42546,51308</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35314928$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chen, Ren-wang</creatorcontrib><creatorcontrib>Wang, Qiong</creatorcontrib><creatorcontrib>Hu, Ting</creatorcontrib><creatorcontrib>Xie, Yu-xiu</creatorcontrib><creatorcontrib>Chang, Hai-yan</creatorcontrib><creatorcontrib>Cheng, Jing</creatorcontrib><title>Validation and Application of the Chinese Version of the M. D. Anderson Symptom Inventory in Breast Cancer Patients</title><title>Current medical science</title><addtitle>CURR MED SCI</addtitle><addtitle>Curr Med Sci</addtitle><description>Objective
To validate and use the Chinese Version of the M. D. Anderson Symptom Inventory (MDASI-C) to assess the symptom burden of breast cancer patients in China.
Methods
A total of 342 breast cancer patients in China participated in this study. Their symptoms were investigated with the MDASI-C from November 2020 to February 2021, and the reliability and validity of this tool were evaluated, respectively. Cluster analysis and correlation analysis were also performed.
Results
The Cronbach’s alpha coefficient values of the symptom and interference items were 0.827 and 0.880, respectively. Construct validity revealed a four-factor structure. The Kaiser—Meyer—Olkin value was 0.760. The Karnofsky Performance Status, treatment phase, and cancer stage of the patients were grouped, and the differences of scores within the groups were significant. In addition, the employment status, education level, and age of the patients were significantly correlated with the symptoms. The correlation analysis of the education level of the patients showed that most of the symptoms and interference items were reduced as the education level was increased. The top three symptoms were disturbed sleep (3.10±2.52), difficulty remembering (2.54±2.30), and fatigue (2.24±2.13). The clinical and biochemical indicators such as body mass index and neutral granulocyte lymphocyte ratio had effects on many symptoms. As the patients’ BMI increased, the patients’ pain, disturbed sleep, and difficulty remembering were aggravated, and numbness was alleviated.
Conclusion
The MDASI-C is a reliable and effective assessment tool to evaluate patients with breast cancer in China. The symptoms are related to many clinical and biochemical indicators.</description><subject>Breast Neoplasms</subject><subject>Fatigue - diagnosis</subject><subject>Female</subject><subject>Humans</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Psychometrics</subject><subject>Reproducibility of Results</subject><subject>Severity of Illness Index</subject><issn>2096-5230</issn><issn>2523-899X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kEtPwzAQhC0EolXpD-CCfOSS4kfsJMdSXpWKQAIqbpYTb2hQ4gQ7Req_x1UAceJk78zsSPshdErJjBKSXHhKRSYjwljERBxH9ACNmWA8SrPs9TD8SXDDTEZo6n2VE06Z5DRlx2jEBadxxtIx8mtdV0b3VWuxtgbPu66uimFuS9xvAC82lQUPeA3O_5HvZ_hqhufWBDmoT7um69sGL-0n2L51O1xZfOlA-x4vtC3A4cdQGzx_go5KXXuYfr8T9HJz_by4i1YPt8vFfBUVLIn7yMhYyiRLDBeEJsTEguYJzwkYzcsy0bnMBIhEUg0yaIbKVGaEGVnkRugC-ASdD72daz-24HvVVL6AutYW2q1XTMY0lVymNETpEC1c672DUnWuarTbKUrUHrcacKuAW-1xq_3O2Xf9Nm_A_G78wA0BNgR8sOwbOPXebp0NJ__T-gURPYrD</recordid><startdate>20220401</startdate><enddate>20220401</enddate><creator>Chen, Ren-wang</creator><creator>Wang, Qiong</creator><creator>Hu, Ting</creator><creator>Xie, Yu-xiu</creator><creator>Chang, Hai-yan</creator><creator>Cheng, Jing</creator><general>Huazhong University of Science and Technology</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20220401</creationdate><title>Validation and Application of the Chinese Version of the M. D. Anderson Symptom Inventory in Breast Cancer Patients</title><author>Chen, Ren-wang ; Wang, Qiong ; Hu, Ting ; Xie, Yu-xiu ; Chang, Hai-yan ; Cheng, Jing</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c274t-d6466797d350170d451b73b0eda3ff7ab695e5761ae6edad1686902d6cbd5ace3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Breast Neoplasms</topic><topic>Fatigue - diagnosis</topic><topic>Female</topic><topic>Humans</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Psychometrics</topic><topic>Reproducibility of Results</topic><topic>Severity of Illness Index</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Ren-wang</creatorcontrib><creatorcontrib>Wang, Qiong</creatorcontrib><creatorcontrib>Hu, Ting</creatorcontrib><creatorcontrib>Xie, Yu-xiu</creatorcontrib><creatorcontrib>Chang, Hai-yan</creatorcontrib><creatorcontrib>Cheng, Jing</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Current medical science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Ren-wang</au><au>Wang, Qiong</au><au>Hu, Ting</au><au>Xie, Yu-xiu</au><au>Chang, Hai-yan</au><au>Cheng, Jing</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Validation and Application of the Chinese Version of the M. D. Anderson Symptom Inventory in Breast Cancer Patients</atitle><jtitle>Current medical science</jtitle><stitle>CURR MED SCI</stitle><addtitle>Curr Med Sci</addtitle><date>2022-04-01</date><risdate>2022</risdate><volume>42</volume><issue>2</issue><spage>426</spage><epage>433</epage><pages>426-433</pages><issn>2096-5230</issn><eissn>2523-899X</eissn><abstract>Objective
To validate and use the Chinese Version of the M. D. Anderson Symptom Inventory (MDASI-C) to assess the symptom burden of breast cancer patients in China.
Methods
A total of 342 breast cancer patients in China participated in this study. Their symptoms were investigated with the MDASI-C from November 2020 to February 2021, and the reliability and validity of this tool were evaluated, respectively. Cluster analysis and correlation analysis were also performed.
Results
The Cronbach’s alpha coefficient values of the symptom and interference items were 0.827 and 0.880, respectively. Construct validity revealed a four-factor structure. The Kaiser—Meyer—Olkin value was 0.760. The Karnofsky Performance Status, treatment phase, and cancer stage of the patients were grouped, and the differences of scores within the groups were significant. In addition, the employment status, education level, and age of the patients were significantly correlated with the symptoms. The correlation analysis of the education level of the patients showed that most of the symptoms and interference items were reduced as the education level was increased. The top three symptoms were disturbed sleep (3.10±2.52), difficulty remembering (2.54±2.30), and fatigue (2.24±2.13). The clinical and biochemical indicators such as body mass index and neutral granulocyte lymphocyte ratio had effects on many symptoms. As the patients’ BMI increased, the patients’ pain, disturbed sleep, and difficulty remembering were aggravated, and numbness was alleviated.
Conclusion
The MDASI-C is a reliable and effective assessment tool to evaluate patients with breast cancer in China. The symptoms are related to many clinical and biochemical indicators.</abstract><cop>Wuhan</cop><pub>Huazhong University of Science and Technology</pub><pmid>35314928</pmid><doi>10.1007/s11596-022-2544-1</doi><tpages>8</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2096-5230 |
| ispartof | Current medical science, 2022-04, Vol.42 (2), p.426-433 |
| issn | 2096-5230 2523-899X |
| language | eng |
| recordid | cdi_proquest_miscellaneous_2641863681 |
| source | MEDLINE; Springer Nature - Complete Springer Journals; Alma/SFX Local Collection |
| subjects | Breast Neoplasms Fatigue - diagnosis Female Humans Medicine Medicine & Public Health Psychometrics Reproducibility of Results Severity of Illness Index |
| title | Validation and Application of the Chinese Version of the M. D. Anderson Symptom Inventory in Breast Cancer Patients |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-15T09%3A03%3A49IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Validation%20and%20Application%20of%20the%20Chinese%20Version%20of%20the%20M.%20D.%20Anderson%20Symptom%20Inventory%20in%20Breast%20Cancer%20Patients&rft.jtitle=Current%20medical%20science&rft.au=Chen,%20Ren-wang&rft.date=2022-04-01&rft.volume=42&rft.issue=2&rft.spage=426&rft.epage=433&rft.pages=426-433&rft.issn=2096-5230&rft.eissn=2523-899X&rft_id=info:doi/10.1007/s11596-022-2544-1&rft_dat=%3Cproquest_cross%3E2641863681%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2641863681&rft_id=info:pmid/35314928&rfr_iscdi=true |