Comparisons of measured and self-reported anthropometric variables and blood pressure in a sample of Hong Kong female nurses
To assess the validity of self-reported weight, height, body mass index (BMI), waist circumference and blood pressure compared with standardized clinical measurements and to determine the classification accuracy in overweight/obesity and central adiposity. This pilot study was integrated into a life...
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description | To assess the validity of self-reported weight, height, body mass index (BMI), waist circumference and blood pressure compared with standardized clinical measurements and to determine the classification accuracy in overweight/obesity and central adiposity.
This pilot study was integrated into a life-course study entitled "Hong Kong Women's Health Study" among 1,253 female nurses in Hong Kong who were aged 35 years to 65 years. Data were collected from self-administered questionnaires that were mailed to the respondents. Of these participants, we obtained the standard body measurements of 144 (11.5%) at our research center. We then compared the self-reported anthropometric variables and blood pressure with the measured data to assess validity based on the level of misreporting, percentage of agreement, consistency, sensitivity and specificity.
The self-reported and measured values were highly correlated in terms of anthropometry and blood pressure (correlation coefficients ranged from 0.72 to 0.96). Height was overestimated at an average of 0.42 cm, and waist circumference was underestimated at 2.33 cm (both P0.05). The proportions of overweight, obesity, and central adiposity by self-reported data did not vary greatly from the measured data (all P>0.05). The self-reporting resulted in correct classifications of BMI, waist circumference, and systolic blood pressure in 85%, 78%, and 87% of women, with corresponding Kappa index values of 0.79, 0.55, and 0.82, respectively. Sensitivity and specificity were 84.6% and 95.7%, respectively, with respect to overweight/obesity detection, whereas those for central adiposity detection were 70.6% and 83.8%, respectively.
In a sample of female Hong Kong nurses, the self-reported measures of height, weight, BMI, waist circumference and blood pressure were generally valid. Furthermore, the classification accuracies of overweight/obesity and central adiposity were acceptable. |
doi_str_mv | 10.1371/journal.pone.0107233 |
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This pilot study was integrated into a life-course study entitled "Hong Kong Women's Health Study" among 1,253 female nurses in Hong Kong who were aged 35 years to 65 years. Data were collected from self-administered questionnaires that were mailed to the respondents. Of these participants, we obtained the standard body measurements of 144 (11.5%) at our research center. We then compared the self-reported anthropometric variables and blood pressure with the measured data to assess validity based on the level of misreporting, percentage of agreement, consistency, sensitivity and specificity.
The self-reported and measured values were highly correlated in terms of anthropometry and blood pressure (correlation coefficients ranged from 0.72 to 0.96). Height was overestimated at an average of 0.42 cm, and waist circumference was underestimated at 2.33 cm (both P<0.05), while no significant differences were observed from weight, blood pressure and BMI (all P>0.05). The proportions of overweight, obesity, and central adiposity by self-reported data did not vary greatly from the measured data (all P>0.05). The self-reporting resulted in correct classifications of BMI, waist circumference, and systolic blood pressure in 85%, 78%, and 87% of women, with corresponding Kappa index values of 0.79, 0.55, and 0.82, respectively. Sensitivity and specificity were 84.6% and 95.7%, respectively, with respect to overweight/obesity detection, whereas those for central adiposity detection were 70.6% and 83.8%, respectively.
In a sample of female Hong Kong nurses, the self-reported measures of height, weight, BMI, waist circumference and blood pressure were generally valid. Furthermore, the classification accuracies of overweight/obesity and central adiposity were acceptable.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0107233</identifier><identifier>PMID: 25222707</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adipose tissue ; Adiposity ; Anthropometry ; Biology and Life Sciences ; Blood ; Blood Pressure ; Body Height ; Body mass ; Body Mass Index ; Body measurements ; Body size ; Body Weight ; Classification ; Comparative analysis ; Correlation analysis ; Correlation coefficient ; Correlation coefficients ; Diagnostic Self Evaluation ; Epidemiology ; Female ; Females ; Health risk assessment ; Hong Kong ; Humans ; Medical personnel ; Medicine and Health Sciences ; Nurses ; Obesity ; Obesity - diagnosis ; Overweight ; Overweight - diagnosis ; Sensitivity ; Waist Circumference ; Womens health</subject><ispartof>PloS one, 2014-09, Vol.9 (9), p.e107233-e107233</ispartof><rights>COPYRIGHT 2014 Public Library of Science</rights><rights>2014 Xie et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2014 Xie et al 2014 Xie et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c758t-d48f694d2ad1d31849c3162c3a8ceac3a08f825f6821c9a41f871fd19693cc013</citedby><cites>FETCH-LOGICAL-c758t-d48f694d2ad1d31849c3162c3a8ceac3a08f825f6821c9a41f871fd19693cc013</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/PMC4164524/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4164524/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25222707$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Xie, Yao Jie</creatorcontrib><creatorcontrib>Ho, Suzanne C</creatorcontrib><creatorcontrib>Liu, Zhao Min</creatorcontrib><creatorcontrib>Hui, Stanley Sai-Chuen</creatorcontrib><title>Comparisons of measured and self-reported anthropometric variables and blood pressure in a sample of Hong Kong female nurses</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>To assess the validity of self-reported weight, height, body mass index (BMI), waist circumference and blood pressure compared with standardized clinical measurements and to determine the classification accuracy in overweight/obesity and central adiposity.
This pilot study was integrated into a life-course study entitled "Hong Kong Women's Health Study" among 1,253 female nurses in Hong Kong who were aged 35 years to 65 years. Data were collected from self-administered questionnaires that were mailed to the respondents. Of these participants, we obtained the standard body measurements of 144 (11.5%) at our research center. We then compared the self-reported anthropometric variables and blood pressure with the measured data to assess validity based on the level of misreporting, percentage of agreement, consistency, sensitivity and specificity.
The self-reported and measured values were highly correlated in terms of anthropometry and blood pressure (correlation coefficients ranged from 0.72 to 0.96). Height was overestimated at an average of 0.42 cm, and waist circumference was underestimated at 2.33 cm (both P<0.05), while no significant differences were observed from weight, blood pressure and BMI (all P>0.05). The proportions of overweight, obesity, and central adiposity by self-reported data did not vary greatly from the measured data (all P>0.05). The self-reporting resulted in correct classifications of BMI, waist circumference, and systolic blood pressure in 85%, 78%, and 87% of women, with corresponding Kappa index values of 0.79, 0.55, and 0.82, respectively. Sensitivity and specificity were 84.6% and 95.7%, respectively, with respect to overweight/obesity detection, whereas those for central adiposity detection were 70.6% and 83.8%, respectively.
In a sample of female Hong Kong nurses, the self-reported measures of height, weight, BMI, waist circumference and blood pressure were generally valid. Furthermore, the classification accuracies of overweight/obesity and central adiposity were acceptable.</description><subject>Adipose tissue</subject><subject>Adiposity</subject><subject>Anthropometry</subject><subject>Biology and Life Sciences</subject><subject>Blood</subject><subject>Blood Pressure</subject><subject>Body Height</subject><subject>Body mass</subject><subject>Body Mass Index</subject><subject>Body measurements</subject><subject>Body size</subject><subject>Body Weight</subject><subject>Classification</subject><subject>Comparative analysis</subject><subject>Correlation analysis</subject><subject>Correlation coefficient</subject><subject>Correlation coefficients</subject><subject>Diagnostic Self Evaluation</subject><subject>Epidemiology</subject><subject>Female</subject><subject>Females</subject><subject>Health risk assessment</subject><subject>Hong Kong</subject><subject>Humans</subject><subject>Medical personnel</subject><subject>Medicine and Health Sciences</subject><subject>Nurses</subject><subject>Obesity</subject><subject>Obesity - diagnosis</subject><subject>Overweight</subject><subject>Overweight - diagnosis</subject><subject>Sensitivity</subject><subject>Waist Circumference</subject><subject>Womens health</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk12L1DAUhoso7rr6D0QLgujFjPls0xthGdQdXFjw6zZk0pOZLGlTk3ZR8MebznSXqeyFBJJw8rxvkpOcLHuO0RLTEr-79kNolVt2voUlwqgklD7ITnFFyaIgiD48mp9kT2K8RohTURSPsxPCCSElKk-zPyvfdCrY6NuYe5M3oOIQoM5VW-cRnFkE6Hzo95F-F3znG-iD1flNUqmNg7hHN877Ou8CxFGe2zZXeVRN52B0vfDtNv88dgYalWLtECLEp9kjo1yEZ9N4ln3_-OHb6mJxefVpvTq_XOiSi35RM2GKitVE1bimWLBKU1wQTZXQoNKAhBGEm0IQrCvFsBElNjWuiopqjTA9y14efDvno5wSFyXmBcEcYV4lYn0gaq-uZRdso8Jv6ZWV-4APW6lCb7UDyUvGDUJY8JIzAkJsjDCalshARQUavd5Puw2bBmoNbR-Um5nOV1q7k1t_IxkuGCcsGbyZDIL_OUDsZWOjBudUC344nLsoEKtIQl_9g95_u4naptxL2xqf9tWjqTxn6SIUITJSy3uo1GporE6_zNgUnwnezgSJ6eFXv1VDjHL99cv_s1c_5uzrI3YHyvW76N3Q2_RJ5yA7gDr4GAOYuyRjJMciuc2GHItETkWSZC-OH-hOdFsV9C8Gtwxl</recordid><startdate>20140915</startdate><enddate>20140915</enddate><creator>Xie, Yao Jie</creator><creator>Ho, Suzanne C</creator><creator>Liu, Zhao Min</creator><creator>Hui, Stanley Sai-Chuen</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</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>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20140915</creationdate><title>Comparisons of measured and self-reported anthropometric variables and blood pressure in a sample of Hong Kong female nurses</title><author>Xie, Yao Jie ; Ho, Suzanne C ; Liu, Zhao Min ; Hui, Stanley Sai-Chuen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c758t-d48f694d2ad1d31849c3162c3a8ceac3a08f825f6821c9a41f871fd19693cc013</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adipose tissue</topic><topic>Adiposity</topic><topic>Anthropometry</topic><topic>Biology and Life Sciences</topic><topic>Blood</topic><topic>Blood Pressure</topic><topic>Body Height</topic><topic>Body mass</topic><topic>Body Mass Index</topic><topic>Body measurements</topic><topic>Body size</topic><topic>Body Weight</topic><topic>Classification</topic><topic>Comparative analysis</topic><topic>Correlation analysis</topic><topic>Correlation coefficient</topic><topic>Correlation coefficients</topic><topic>Diagnostic Self Evaluation</topic><topic>Epidemiology</topic><topic>Female</topic><topic>Females</topic><topic>Health risk assessment</topic><topic>Hong Kong</topic><topic>Humans</topic><topic>Medical personnel</topic><topic>Medicine and Health Sciences</topic><topic>Nurses</topic><topic>Obesity</topic><topic>Obesity - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xie, Yao Jie</au><au>Ho, Suzanne C</au><au>Liu, Zhao Min</au><au>Hui, Stanley Sai-Chuen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparisons of measured and self-reported anthropometric variables and blood pressure in a sample of Hong Kong female nurses</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2014-09-15</date><risdate>2014</risdate><volume>9</volume><issue>9</issue><spage>e107233</spage><epage>e107233</epage><pages>e107233-e107233</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>To assess the validity of self-reported weight, height, body mass index (BMI), waist circumference and blood pressure compared with standardized clinical measurements and to determine the classification accuracy in overweight/obesity and central adiposity.
This pilot study was integrated into a life-course study entitled "Hong Kong Women's Health Study" among 1,253 female nurses in Hong Kong who were aged 35 years to 65 years. Data were collected from self-administered questionnaires that were mailed to the respondents. Of these participants, we obtained the standard body measurements of 144 (11.5%) at our research center. We then compared the self-reported anthropometric variables and blood pressure with the measured data to assess validity based on the level of misreporting, percentage of agreement, consistency, sensitivity and specificity.
The self-reported and measured values were highly correlated in terms of anthropometry and blood pressure (correlation coefficients ranged from 0.72 to 0.96). Height was overestimated at an average of 0.42 cm, and waist circumference was underestimated at 2.33 cm (both P<0.05), while no significant differences were observed from weight, blood pressure and BMI (all P>0.05). The proportions of overweight, obesity, and central adiposity by self-reported data did not vary greatly from the measured data (all P>0.05). The self-reporting resulted in correct classifications of BMI, waist circumference, and systolic blood pressure in 85%, 78%, and 87% of women, with corresponding Kappa index values of 0.79, 0.55, and 0.82, respectively. Sensitivity and specificity were 84.6% and 95.7%, respectively, with respect to overweight/obesity detection, whereas those for central adiposity detection were 70.6% and 83.8%, respectively.
In a sample of female Hong Kong nurses, the self-reported measures of height, weight, BMI, waist circumference and blood pressure were generally valid. Furthermore, the classification accuracies of overweight/obesity and central adiposity were acceptable.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25222707</pmid><doi>10.1371/journal.pone.0107233</doi><oa>free_for_read</oa></addata></record> |
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subjects | Adipose tissue Adiposity Anthropometry Biology and Life Sciences Blood Blood Pressure Body Height Body mass Body Mass Index Body measurements Body size Body Weight Classification Comparative analysis Correlation analysis Correlation coefficient Correlation coefficients Diagnostic Self Evaluation Epidemiology Female Females Health risk assessment Hong Kong Humans Medical personnel Medicine and Health Sciences Nurses Obesity Obesity - diagnosis Overweight Overweight - diagnosis Sensitivity Waist Circumference Womens health |
title | Comparisons of measured and self-reported anthropometric variables and blood pressure in a sample of Hong Kong female nurses |
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