Measurement of Bed Turning and Comparison with Age, Gender, and Body Mass Index in a Healthy Population : Application of a Novel Mobility Detection System
We developed a mobility detection system to analyze pressure changes over time during side-turns in 29 healthy volunteers (17 males and 12 females) with a mean age of 46.1 ± 19.64 years (ranging from 23 to 86 years) in order to determine the effect of gender, age, and BMI on performance during bed p...
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| Veröffentlicht in: | BioMed research international 2014-01, Vol.2014 (2014), p.1-10 |
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| creator | Lin, Chia-Huei Chiang, Shang-Lin Chang, Shin-Tsu Lin, Chueh-Ho Chen, Po-Yin Sung, Wen-Hsu Wei, Shun-Hwa |
| description | We developed a mobility detection system to analyze pressure changes over time during side-turns in 29 healthy volunteers (17 males and 12 females) with a mean age of 46.1 ± 19.64 years (ranging from 23 to 86 years) in order to determine the effect of gender, age, and BMI on performance during bed postural change. Center of gravity (COG) location, peak pressure of counteraction, and time to reach peak pressure were the main outcomes used to gauge the ability to make a spontaneous side-turn. Men exhibited significantly higher side-turning force (P=0.002) and back-turning force (P=0.002) compared with women. Subjects with BMI ≥27 kg/m2 had significantly higher side-turning force (P=0.007) and back-turning force (P=0.007) compared with those with BMI < 27 kg/m2. After adjusting for other covariates, age positively correlated with back-turning time (P=0.033) and negatively correlated with side-turning speed (P=0.005), back-turning speed (P=0.014), side-turning force (P=0.010), and back-turning force (P=0.016), respectively. Turning times negatively correlated with time to reach peak pressure (P=0.008). Our system was effective in detecting changes in turning swiftness in the bed-ridden subject. |
| doi_str_mv | 10.1155/2014/819615 |
| format | Article |
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Center of gravity (COG) location, peak pressure of counteraction, and time to reach peak pressure were the main outcomes used to gauge the ability to make a spontaneous side-turn. Men exhibited significantly higher side-turning force (P=0.002) and back-turning force (P=0.002) compared with women. Subjects with BMI ≥27 kg/m2 had significantly higher side-turning force (P=0.007) and back-turning force (P=0.007) compared with those with BMI < 27 kg/m2. After adjusting for other covariates, age positively correlated with back-turning time (P=0.033) and negatively correlated with side-turning speed (P=0.005), back-turning speed (P=0.014), side-turning force (P=0.010), and back-turning force (P=0.016), respectively. Turning times negatively correlated with time to reach peak pressure (P=0.008). Our system was effective in detecting changes in turning swiftness in the bed-ridden subject.</description><identifier>ISSN: 2314-6133</identifier><identifier>EISSN: 2314-6141</identifier><identifier>DOI: 10.1155/2014/819615</identifier><identifier>PMID: 24877137</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Puplishing Corporation</publisher><subject>Accelerometers ; Adult ; Aged ; Aged, 80 and over ; Aging ; Beds ; Body Mass Index ; Clinical trials ; Data analysis ; Demographic aspects ; Equipment and supplies ; Female ; Health aspects ; Hospitalization ; Hospitals ; Humans ; Male ; Medicine ; Methods ; Middle Aged ; Monitoring systems ; Monitoring, Physiologic - instrumentation ; Monitoring, Physiologic - methods ; Movement - physiology ; Nursing ; Nursing care ; Nutrition research ; Patient monitoring ; Patients ; Posture ; Posture - physiology ; Pressure ulcers ; Rehabilitation ; Sensors ; Sex Characteristics ; Sleep positions ; Software ; Strain gauges ; Stroke ; Volunteers</subject><ispartof>BioMed research international, 2014-01, Vol.2014 (2014), p.1-10</ispartof><rights>Copyright © 2014 Shang-Lin Chiang et al.</rights><rights>COPYRIGHT 2014 John Wiley & Sons, Inc.</rights><rights>Copyright © 2014 Shang-Lin Chiang et al. Shang-Lin Chiang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</rights><rights>Copyright © 2014 Shang-Lin Chiang et al. 2014</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c527t-d0e50dd9a662e4a7aa6f0f5156016e12f3221af845c372e50e8032e0931d7e163</citedby><cites>FETCH-LOGICAL-c527t-d0e50dd9a662e4a7aa6f0f5156016e12f3221af845c372e50e8032e0931d7e163</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4021992/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4021992/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27922,27923,53789,53791</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24877137$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Abdalla, Ali I.</contributor><creatorcontrib>Lin, Chia-Huei</creatorcontrib><creatorcontrib>Chiang, Shang-Lin</creatorcontrib><creatorcontrib>Chang, Shin-Tsu</creatorcontrib><creatorcontrib>Lin, Chueh-Ho</creatorcontrib><creatorcontrib>Chen, Po-Yin</creatorcontrib><creatorcontrib>Sung, Wen-Hsu</creatorcontrib><creatorcontrib>Wei, Shun-Hwa</creatorcontrib><title>Measurement of Bed Turning and Comparison with Age, Gender, and Body Mass Index in a Healthy Population : Application of a Novel Mobility Detection System</title><title>BioMed research international</title><addtitle>Biomed Res Int</addtitle><description>We developed a mobility detection system to analyze pressure changes over time during side-turns in 29 healthy volunteers (17 males and 12 females) with a mean age of 46.1 ± 19.64 years (ranging from 23 to 86 years) in order to determine the effect of gender, age, and BMI on performance during bed postural change. Center of gravity (COG) location, peak pressure of counteraction, and time to reach peak pressure were the main outcomes used to gauge the ability to make a spontaneous side-turn. Men exhibited significantly higher side-turning force (P=0.002) and back-turning force (P=0.002) compared with women. Subjects with BMI ≥27 kg/m2 had significantly higher side-turning force (P=0.007) and back-turning force (P=0.007) compared with those with BMI < 27 kg/m2. After adjusting for other covariates, age positively correlated with back-turning time (P=0.033) and negatively correlated with side-turning speed (P=0.005), back-turning speed (P=0.014), side-turning force (P=0.010), and back-turning force (P=0.016), respectively. Turning times negatively correlated with time to reach peak pressure (P=0.008). Our system was effective in detecting changes in turning swiftness in the bed-ridden subject.</description><subject>Accelerometers</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Aging</subject><subject>Beds</subject><subject>Body Mass Index</subject><subject>Clinical trials</subject><subject>Data analysis</subject><subject>Demographic aspects</subject><subject>Equipment and supplies</subject><subject>Female</subject><subject>Health aspects</subject><subject>Hospitalization</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Male</subject><subject>Medicine</subject><subject>Methods</subject><subject>Middle Aged</subject><subject>Monitoring systems</subject><subject>Monitoring, Physiologic - instrumentation</subject><subject>Monitoring, Physiologic - methods</subject><subject>Movement - physiology</subject><subject>Nursing</subject><subject>Nursing care</subject><subject>Nutrition research</subject><subject>Patient monitoring</subject><subject>Patients</subject><subject>Posture</subject><subject>Posture - physiology</subject><subject>Pressure ulcers</subject><subject>Rehabilitation</subject><subject>Sensors</subject><subject>Sex Characteristics</subject><subject>Sleep positions</subject><subject>Software</subject><subject>Strain gauges</subject><subject>Stroke</subject><subject>Volunteers</subject><issn>2314-6133</issn><issn>2314-6141</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqN0stu1DAUBuAIgWhVumINssQGQYf67oQF0nSAtlILSJS1dZqczLhK7BAnLfMqPC2epgyXDWTjxP78xzk5WfaY0VeMKXXIKZOHOSs0U_eyXS6YnGkm2f3tvRA72X6MVzRdOdO00A-zHS5zY5gwu9n3c4Q49tiiH0ioyRFW5GLsvfNLAr4ii9B20LsYPLlxw4rMl3hAjtFX2B_cgqNQrck5xEhO0-Q34jwBcoLQDKs1-RS6sYHBpd2vybzrGldOT-lNQD6Ea2zIebh0jRvW5C0OWN6ufl7HAdtH2YMamoj7d-Ne9uX9u4vFyezs4_HpYn42KxU3w6yiqGhVFaA1RwkGQNe0VkxpyjQyXgvOGdS5VKUwPFnMqeBIC8Eqg0yLvezNlNuNly1WZapED43tetdCv7YBnP1zxbuVXYZrKylnRcFTwPO7gD58HTEOtnWxxKYBj2GMNh1F58poqv-DClooybhI9Nlf9CqkH5MqkZQ0BWdcFb_UEhq0ztchHbHchNq55IZyqQqa1MtJlX2Iscd6-3WM2k0f2U0f2amPkn76e0G29mfXJPBiAivnK7hx_0h7MmFMBGvYYkWpzo34ARhl1vo</recordid><startdate>20140101</startdate><enddate>20140101</enddate><creator>Lin, Chia-Huei</creator><creator>Chiang, Shang-Lin</creator><creator>Chang, Shin-Tsu</creator><creator>Lin, Chueh-Ho</creator><creator>Chen, Po-Yin</creator><creator>Sung, Wen-Hsu</creator><creator>Wei, Shun-Hwa</creator><general>Hindawi Puplishing Corporation</general><general>Hindawi Publishing Corporation</general><general>John Wiley & Sons, Inc</general><general>Hindawi Limited</general><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><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>3V.</scope><scope>7QL</scope><scope>7QO</scope><scope>7T7</scope><scope>7TK</scope><scope>7U7</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>CWDGH</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20140101</creationdate><title>Measurement of Bed Turning and Comparison with Age, Gender, and Body Mass Index in a Healthy Population : Application of a Novel Mobility Detection System</title><author>Lin, Chia-Huei ; Chiang, Shang-Lin ; Chang, Shin-Tsu ; Lin, Chueh-Ho ; Chen, Po-Yin ; Sung, Wen-Hsu ; Wei, Shun-Hwa</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c527t-d0e50dd9a662e4a7aa6f0f5156016e12f3221af845c372e50e8032e0931d7e163</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Accelerometers</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Aging</topic><topic>Beds</topic><topic>Body Mass Index</topic><topic>Clinical trials</topic><topic>Data analysis</topic><topic>Demographic aspects</topic><topic>Equipment and supplies</topic><topic>Female</topic><topic>Health aspects</topic><topic>Hospitalization</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Male</topic><topic>Medicine</topic><topic>Methods</topic><topic>Middle Aged</topic><topic>Monitoring systems</topic><topic>Monitoring, Physiologic - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BioMed research international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lin, Chia-Huei</au><au>Chiang, Shang-Lin</au><au>Chang, Shin-Tsu</au><au>Lin, Chueh-Ho</au><au>Chen, Po-Yin</au><au>Sung, Wen-Hsu</au><au>Wei, Shun-Hwa</au><au>Abdalla, Ali I.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Measurement of Bed Turning and Comparison with Age, Gender, and Body Mass Index in a Healthy Population : Application of a Novel Mobility Detection System</atitle><jtitle>BioMed research international</jtitle><addtitle>Biomed Res Int</addtitle><date>2014-01-01</date><risdate>2014</risdate><volume>2014</volume><issue>2014</issue><spage>1</spage><epage>10</epage><pages>1-10</pages><issn>2314-6133</issn><eissn>2314-6141</eissn><abstract>We developed a mobility detection system to analyze pressure changes over time during side-turns in 29 healthy volunteers (17 males and 12 females) with a mean age of 46.1 ± 19.64 years (ranging from 23 to 86 years) in order to determine the effect of gender, age, and BMI on performance during bed postural change. Center of gravity (COG) location, peak pressure of counteraction, and time to reach peak pressure were the main outcomes used to gauge the ability to make a spontaneous side-turn. Men exhibited significantly higher side-turning force (P=0.002) and back-turning force (P=0.002) compared with women. Subjects with BMI ≥27 kg/m2 had significantly higher side-turning force (P=0.007) and back-turning force (P=0.007) compared with those with BMI < 27 kg/m2. After adjusting for other covariates, age positively correlated with back-turning time (P=0.033) and negatively correlated with side-turning speed (P=0.005), back-turning speed (P=0.014), side-turning force (P=0.010), and back-turning force (P=0.016), respectively. Turning times negatively correlated with time to reach peak pressure (P=0.008). Our system was effective in detecting changes in turning swiftness in the bed-ridden subject.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Puplishing Corporation</pub><pmid>24877137</pmid><doi>10.1155/2014/819615</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | BioMed research international, 2014-01, Vol.2014 (2014), p.1-10 |
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| subjects | Accelerometers Adult Aged Aged, 80 and over Aging Beds Body Mass Index Clinical trials Data analysis Demographic aspects Equipment and supplies Female Health aspects Hospitalization Hospitals Humans Male Medicine Methods Middle Aged Monitoring systems Monitoring, Physiologic - instrumentation Monitoring, Physiologic - methods Movement - physiology Nursing Nursing care Nutrition research Patient monitoring Patients Posture Posture - physiology Pressure ulcers Rehabilitation Sensors Sex Characteristics Sleep positions Software Strain gauges Stroke Volunteers |
| title | Measurement of Bed Turning and Comparison with Age, Gender, and Body Mass Index in a Healthy Population : Application of a Novel Mobility Detection System |
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