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Making Sense of Skin Color in Clinical Care
The background of this article is that assessment and quantification of skin color is important to health care; color is one indicator of overall health and is linked to oxygenation, tissue perfusion, nutritional status, and injury. The purpose is to describe how skin color varies across racial/ethn...
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Published in: | Clinical nursing research 2012-11, Vol.21 (4), p.495-516 |
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container_title | Clinical nursing research |
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creator | Everett, Janine S. Budescu, Mia Sommers, Marilyn S. |
description | The background of this article is that assessment and quantification of skin color is important to health care; color is one indicator of overall health and is linked to oxygenation, tissue perfusion, nutritional status, and injury. The purpose is to describe how skin color varies across racial/ethnic groups so that the information can be applied to clinical practice. The method used is cross-sectional, descriptive design (n = 257). We recorded self-defined race/ethnicity and used a spectrophotometer to measure skin color at two anatomic sites. Skin color variables included L* (light/dark), a* (red/green), and b* (yellow/blue). As regards results, we found significant differences in L*, a*, and b* values by site and race/ethnicity in White, Asian, and Biracial participants. L*: F(3, 233) = 139.04, p < .01 and F(3, 233) = 118.47, p < .01. Black participants had significantly lower mean L* values and wider ranges of L*, a*, and b* as compared with other groups. In regard to application, these findings suggest that clinicians and researchers should plan and provide care based on skin color, rather than race/ethnicity. |
doi_str_mv | 10.1177/1054773812446510 |
format | article |
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The purpose is to describe how skin color varies across racial/ethnic groups so that the information can be applied to clinical practice. The method used is cross-sectional, descriptive design (n = 257). We recorded self-defined race/ethnicity and used a spectrophotometer to measure skin color at two anatomic sites. Skin color variables included L* (light/dark), a* (red/green), and b* (yellow/blue). As regards results, we found significant differences in L*, a*, and b* values by site and race/ethnicity in White, Asian, and Biracial participants. L*: F(3, 233) = 139.04, p < .01 and F(3, 233) = 118.47, p < .01. Black participants had significantly lower mean L* values and wider ranges of L*, a*, and b* as compared with other groups. 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The purpose is to describe how skin color varies across racial/ethnic groups so that the information can be applied to clinical practice. The method used is cross-sectional, descriptive design (n = 257). We recorded self-defined race/ethnicity and used a spectrophotometer to measure skin color at two anatomic sites. Skin color variables included L* (light/dark), a* (red/green), and b* (yellow/blue). As regards results, we found significant differences in L*, a*, and b* values by site and race/ethnicity in White, Asian, and Biracial participants. L*: F(3, 233) = 139.04, p < .01 and F(3, 233) = 118.47, p < .01. Black participants had significantly lower mean L* values and wider ranges of L*, a*, and b* as compared with other groups. In regard to application, these findings suggest that clinicians and researchers should plan and provide care based on skin color, rather than race/ethnicity.</description><subject>Color</subject><subject>Ethnic Groups</subject><subject>Ethnicity</subject><subject>Health care</subject><subject>Humans</subject><subject>Injuries</subject><subject>Nursing</subject><subject>Nursing care</subject><subject>Perception</subject><subject>Population Groups</subject><subject>Quantification</subject><subject>Race</subject><subject>Scientific imaging</subject><subject>Skin</subject><subject>Skin Pigmentation</subject><subject>Spectrophotometry - methods</subject><issn>1054-7738</issn><issn>1552-3799</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>7QJ</sourceid><recordid>eNqNkUtLAzEUhYMotlb3rmTAjSCjeSezEWTwBRUX7T5k0kydOp3UpCP4783QWmpBdJUb7ndPcs8B4BTBK4SEuEaQUSGIRJhSzhDcA33EGE6JyLL9WMd22vV74CiEGYSQYogOQQ9jThmFpA8un_Vb1UyTkW2CTVyZjOI1yV3tfNIVddVURtdJrr09BgelroM9WZ8DML6_G-eP6fDl4Sm_HaaGYblMuRQlN6bICEKw5FZyzkpNuBXY2KLgCKOMazIpIKcTg6mlBaQTLuOnYSEQGYCbleyiLeZ2Ymyz9LpWC1_Ntf9UTlfqZ6epXtXUfSgSPaCyE7hYC3j33tqwVPMqGFvXurGuDQqhaBXOJM3-geK4E2Wc_o3CjDAoSMYier6Dzlzrm-hZFIwBMYmljBRcUca7ELwtNysiqLp41W68ceRs25rNwHeeEUhXQNBTu_Xqb4JfFb2orw</recordid><startdate>20121101</startdate><enddate>20121101</enddate><creator>Everett, Janine S.</creator><creator>Budescu, Mia</creator><creator>Sommers, Marilyn S.</creator><general>SAGE Publications</general><general>SAGE PUBLICATIONS, INC</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>7QJ</scope><scope>ASE</scope><scope>FPQ</scope><scope>K6X</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20121101</creationdate><title>Making Sense of Skin Color in Clinical Care</title><author>Everett, Janine S. ; Budescu, Mia ; Sommers, Marilyn S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c528t-687f6ccb93110f6e8665fa36e72cebb612196a3db064dc24e4b04d683790b713</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Color</topic><topic>Ethnic Groups</topic><topic>Ethnicity</topic><topic>Health care</topic><topic>Humans</topic><topic>Injuries</topic><topic>Nursing</topic><topic>Nursing care</topic><topic>Perception</topic><topic>Population Groups</topic><topic>Quantification</topic><topic>Race</topic><topic>Scientific imaging</topic><topic>Skin</topic><topic>Skin Pigmentation</topic><topic>Spectrophotometry - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Everett, Janine S.</creatorcontrib><creatorcontrib>Budescu, Mia</creatorcontrib><creatorcontrib>Sommers, Marilyn S.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>British Nursing Index</collection><collection>British Nursing Index (BNI) (1985 to Present)</collection><collection>British Nursing Index</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Clinical nursing research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Everett, Janine S.</au><au>Budescu, Mia</au><au>Sommers, Marilyn S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Making Sense of Skin Color in Clinical Care</atitle><jtitle>Clinical nursing research</jtitle><addtitle>Clin Nurs Res</addtitle><date>2012-11-01</date><risdate>2012</risdate><volume>21</volume><issue>4</issue><spage>495</spage><epage>516</epage><pages>495-516</pages><issn>1054-7738</issn><eissn>1552-3799</eissn><coden>CNREFD</coden><abstract>The background of this article is that assessment and quantification of skin color is important to health care; color is one indicator of overall health and is linked to oxygenation, tissue perfusion, nutritional status, and injury. The purpose is to describe how skin color varies across racial/ethnic groups so that the information can be applied to clinical practice. The method used is cross-sectional, descriptive design (n = 257). We recorded self-defined race/ethnicity and used a spectrophotometer to measure skin color at two anatomic sites. Skin color variables included L* (light/dark), a* (red/green), and b* (yellow/blue). As regards results, we found significant differences in L*, a*, and b* values by site and race/ethnicity in White, Asian, and Biracial participants. L*: F(3, 233) = 139.04, p < .01 and F(3, 233) = 118.47, p < .01. Black participants had significantly lower mean L* values and wider ranges of L*, a*, and b* as compared with other groups. In regard to application, these findings suggest that clinicians and researchers should plan and provide care based on skin color, rather than race/ethnicity.</abstract><cop>Los Angeles, CA</cop><pub>SAGE Publications</pub><pmid>22645403</pmid><doi>10.1177/1054773812446510</doi><tpages>22</tpages><oa>free_for_read</oa></addata></record> |
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source | Applied Social Sciences Index & Abstracts (ASSIA); Sage Journals Online |
subjects | Color Ethnic Groups Ethnicity Health care Humans Injuries Nursing Nursing care Perception Population Groups Quantification Race Scientific imaging Skin Skin Pigmentation Spectrophotometry - methods |
title | Making Sense of Skin Color in Clinical Care |
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