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Validity of self‐reported height and weight and derived body mass index in middle‐aged and elderly individuals in Australia
Body mass index (BMI) is an important measure of adiposity. While BMI derived from self‐reported data generally agrees well with that derived from measured values, evidence from Australia is limited, particularly for the elderly. We compared self‐reported with measured height and weight in a random...
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Published in: | Australian and New Zealand journal of public health 2011-12, Vol.35 (6), p.557-563 |
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description | Body mass index (BMI) is an important measure of adiposity. While BMI derived from self‐reported data generally agrees well with that derived from measured values, evidence from Australia is limited, particularly for the elderly.
We compared self‐reported with measured height and weight in a random sample of 608 individuals aged ≥45 from the 45 and Up Study, an Australian population‐based cohort study. We assessed degree of agreement and correlation between measures, and calculated sensitivity and specificity to quantify BMI category misclassification.
On average, in males and females respectively, height was overestimated by 1.24cm (95% CI: 0.75–1.72) and 0.59cm (0.26–0.92); weight was underestimated by 1.68kg (–1.99– ‐1.36) and 1.02kg (–1.24– ‐0.80); and BMI based on self‐reported measures was underestimated by 0.90kg/m2 (–1.09– ‐0.70) and 0.60 kg/m2 (–0.75– ‐0.45). Underestimation increased with increasing measured BMI. There were strong correlations between self‐reported and measured height, weight and BMI (r=0.95, 0.99 and 0.95, respectively, p |
doi_str_mv | 10.1111/j.1753-6405.2011.00742.x |
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We compared self‐reported with measured height and weight in a random sample of 608 individuals aged ≥45 from the 45 and Up Study, an Australian population‐based cohort study. We assessed degree of agreement and correlation between measures, and calculated sensitivity and specificity to quantify BMI category misclassification.
On average, in males and females respectively, height was overestimated by 1.24cm (95% CI: 0.75–1.72) and 0.59cm (0.26–0.92); weight was underestimated by 1.68kg (–1.99– ‐1.36) and 1.02kg (–1.24– ‐0.80); and BMI based on self‐reported measures was underestimated by 0.90kg/m2 (–1.09– ‐0.70) and 0.60 kg/m2 (–0.75– ‐0.45). Underestimation increased with increasing measured BMI. There were strong correlations between self‐reported and measured height, weight and BMI (r=0.95, 0.99 and 0.95, respectively, p<0.001). While there was excellent agreement between BMI categories from self‐reported and measured data (kappa=0.80), obesity prevalence was underestimated. Findings did not differ substantially between middle‐aged and elderly participants.
Self‐reported data on height and weight quantify body size appropriately in middle‐aged and elderly individuals for relative measures, such as quantiles of BMI. However, caution is necessary when reporting on absolute BMI and standard BMI categories, based on self‐reported data, particularly since use of such data is likely to result in underestimation of the prevalence of obesity.</description><identifier>ISSN: 1326-0200</identifier><identifier>EISSN: 1753-6405</identifier><identifier>DOI: 10.1111/j.1753-6405.2011.00742.x</identifier><identifier>PMID: 22151163</identifier><language>eng</language><publisher>Oxford, UK: Elsevier B.V</publisher><subject>Accuracy ; Adipose tissue ; Adults ; Aged ; Aged, 80 and over ; Aging ; Aging - physiology ; Agreements ; Anthropometry ; Australia ; BMI ; Body Height ; Body Mass Index ; Body size ; Body Weight ; Cohort analysis ; Cohort Studies ; Data ; Exercise ; Female ; height ; Humans ; Indexes ; Male ; Middle age ; Middle Aged ; New South Wales - epidemiology ; Nutrition ; Obesity ; Obesity - epidemiology ; Older people ; Overweight ; Population studies ; Public health ; Reproducibility of Results ; Self Disclosure ; Self image ; Self report ; Sensitivity and Specificity ; Socioeconomic factors ; Surveys and Questionnaires - standards ; Validity ; Weight ; Women</subject><ispartof>Australian and New Zealand journal of public health, 2011-12, Vol.35 (6), p.557-563</ispartof><rights>2011 Copyright 2011 THE AUTHORS.</rights><rights>2011 The Authors. ANZJPH © 2011 Public Health Association of Australia</rights><rights>2011 The Authors. ANZJPH © 2011 Public Health Association of Australia.</rights><rights>2011. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c6422-e8a029e2e0dba054934e1c4195bd3a6a12c94264f961acf28b3b8dd35285ee343</citedby><cites>FETCH-LOGICAL-c6422-e8a029e2e0dba054934e1c4195bd3a6a12c94264f961acf28b3b8dd35285ee343</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fj.1753-6405.2011.00742.x$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fj.1753-6405.2011.00742.x$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27866,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22151163$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ng, Suan Peng</creatorcontrib><creatorcontrib>Korda, Rosemary</creatorcontrib><creatorcontrib>Clements, Mark</creatorcontrib><creatorcontrib>Latz, Isabel</creatorcontrib><creatorcontrib>Bauman, Adrian</creatorcontrib><creatorcontrib>Bambrick, Hilary</creatorcontrib><creatorcontrib>Liu, Bette</creatorcontrib><creatorcontrib>Rogers, Kris</creatorcontrib><creatorcontrib>Herbert, Nicol</creatorcontrib><creatorcontrib>Banks, Emily</creatorcontrib><title>Validity of self‐reported height and weight and derived body mass index in middle‐aged and elderly individuals in Australia</title><title>Australian and New Zealand journal of public health</title><addtitle>Aust N Z J Public Health</addtitle><description>Body mass index (BMI) is an important measure of adiposity. While BMI derived from self‐reported data generally agrees well with that derived from measured values, evidence from Australia is limited, particularly for the elderly.
We compared self‐reported with measured height and weight in a random sample of 608 individuals aged ≥45 from the 45 and Up Study, an Australian population‐based cohort study. We assessed degree of agreement and correlation between measures, and calculated sensitivity and specificity to quantify BMI category misclassification.
On average, in males and females respectively, height was overestimated by 1.24cm (95% CI: 0.75–1.72) and 0.59cm (0.26–0.92); weight was underestimated by 1.68kg (–1.99– ‐1.36) and 1.02kg (–1.24– ‐0.80); and BMI based on self‐reported measures was underestimated by 0.90kg/m2 (–1.09– ‐0.70) and 0.60 kg/m2 (–0.75– ‐0.45). Underestimation increased with increasing measured BMI. There were strong correlations between self‐reported and measured height, weight and BMI (r=0.95, 0.99 and 0.95, respectively, p<0.001). While there was excellent agreement between BMI categories from self‐reported and measured data (kappa=0.80), obesity prevalence was underestimated. Findings did not differ substantially between middle‐aged and elderly participants.
Self‐reported data on height and weight quantify body size appropriately in middle‐aged and elderly individuals for relative measures, such as quantiles of BMI. However, caution is necessary when reporting on absolute BMI and standard BMI categories, based on self‐reported data, particularly since use of such data is likely to result in underestimation of the prevalence of obesity.</description><subject>Accuracy</subject><subject>Adipose tissue</subject><subject>Adults</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Aging</subject><subject>Aging - physiology</subject><subject>Agreements</subject><subject>Anthropometry</subject><subject>Australia</subject><subject>BMI</subject><subject>Body Height</subject><subject>Body Mass Index</subject><subject>Body size</subject><subject>Body Weight</subject><subject>Cohort analysis</subject><subject>Cohort Studies</subject><subject>Data</subject><subject>Exercise</subject><subject>Female</subject><subject>height</subject><subject>Humans</subject><subject>Indexes</subject><subject>Male</subject><subject>Middle age</subject><subject>Middle Aged</subject><subject>New South Wales - epidemiology</subject><subject>Nutrition</subject><subject>Obesity</subject><subject>Obesity - epidemiology</subject><subject>Older people</subject><subject>Overweight</subject><subject>Population studies</subject><subject>Public health</subject><subject>Reproducibility of Results</subject><subject>Self Disclosure</subject><subject>Self image</subject><subject>Self report</subject><subject>Sensitivity and Specificity</subject><subject>Socioeconomic factors</subject><subject>Surveys and Questionnaires - standards</subject><subject>Validity</subject><subject>Weight</subject><subject>Women</subject><issn>1326-0200</issn><issn>1753-6405</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>7TQ</sourceid><recordid>eNqNkctu1DAUhiNERUvhFZAlFrBJ6nuSBYtpxbRIVVshLhIby4lPWg-5DHYynazgEXhGngSnKYPEAvDCPvL5_v_o6I8iRHBCwjlaJSQVLJYci4RiQhKMU06T7YPoYNd4GGpGZYwpxvvRY-9XGAeU0UfRPqVEECLZQfT1g66tsf2Iugp5qKsf3747WHeuB4NuwF7f9Ei3Bt3-Lg04uwndojMjarT3yLYGtuFGjTWmhmChrwMwwVAHvB4nxG6sGXQ94Wgx-N6FyfpJtFeFP3h6_x5G75ev352cxeeXp29OFudxKTmlMWQa0xwoYFNoLHjOOJCSk1wUhmmpCS1zTiWvckl0WdGsYEVmDBM0EwCMs8Poxey7dt2XAXyvGutLqGvdQjd4lROZCZJiEsiXfyVJlpNMSp5Ops__QFfd4Nqwh2JYSoypvBudzVTpOu8dVGrtbKPdqAhWU5xqpabU1JSamuJUd3GqbZA-ux8wFA2YnfBXfgF4NQO3tobxv43V4tPVWaiCPp711vew3em1-6xkylKhPl6cqoxdCLpcUvU28MczDyGrjQWnfGmhLcFYB2WvTGf_vdVPbzTTzA</recordid><startdate>201112</startdate><enddate>201112</enddate><creator>Ng, Suan Peng</creator><creator>Korda, Rosemary</creator><creator>Clements, Mark</creator><creator>Latz, Isabel</creator><creator>Bauman, Adrian</creator><creator>Bambrick, Hilary</creator><creator>Liu, Bette</creator><creator>Rogers, Kris</creator><creator>Herbert, Nicol</creator><creator>Banks, Emily</creator><general>Elsevier B.V</general><general>Blackwell Publishing Ltd</general><general>Elsevier Limited</general><scope>6I.</scope><scope>AAFTH</scope><scope>BSCLL</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>7QP</scope><scope>7T2</scope><scope>7TQ</scope><scope>C1K</scope><scope>DHY</scope><scope>DON</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7TS</scope><scope>7U2</scope><scope>7X8</scope></search><sort><creationdate>201112</creationdate><title>Validity of self‐reported height and weight and derived body mass index in middle‐aged and elderly individuals in Australia</title><author>Ng, Suan Peng ; Korda, Rosemary ; Clements, Mark ; Latz, Isabel ; Bauman, Adrian ; Bambrick, Hilary ; Liu, Bette ; Rogers, Kris ; Herbert, Nicol ; Banks, Emily</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c6422-e8a029e2e0dba054934e1c4195bd3a6a12c94264f961acf28b3b8dd35285ee343</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Accuracy</topic><topic>Adipose tissue</topic><topic>Adults</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Aging</topic><topic>Aging - physiology</topic><topic>Agreements</topic><topic>Anthropometry</topic><topic>Australia</topic><topic>BMI</topic><topic>Body Height</topic><topic>Body Mass Index</topic><topic>Body size</topic><topic>Body Weight</topic><topic>Cohort analysis</topic><topic>Cohort Studies</topic><topic>Data</topic><topic>Exercise</topic><topic>Female</topic><topic>height</topic><topic>Humans</topic><topic>Indexes</topic><topic>Male</topic><topic>Middle age</topic><topic>Middle Aged</topic><topic>New South Wales - epidemiology</topic><topic>Nutrition</topic><topic>Obesity</topic><topic>Obesity - epidemiology</topic><topic>Older people</topic><topic>Overweight</topic><topic>Population studies</topic><topic>Public health</topic><topic>Reproducibility of Results</topic><topic>Self Disclosure</topic><topic>Self image</topic><topic>Self report</topic><topic>Sensitivity and Specificity</topic><topic>Socioeconomic factors</topic><topic>Surveys and Questionnaires - standards</topic><topic>Validity</topic><topic>Weight</topic><topic>Women</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ng, Suan Peng</creatorcontrib><creatorcontrib>Korda, Rosemary</creatorcontrib><creatorcontrib>Clements, Mark</creatorcontrib><creatorcontrib>Latz, Isabel</creatorcontrib><creatorcontrib>Bauman, Adrian</creatorcontrib><creatorcontrib>Bambrick, Hilary</creatorcontrib><creatorcontrib>Liu, Bette</creatorcontrib><creatorcontrib>Rogers, Kris</creatorcontrib><creatorcontrib>Herbert, Nicol</creatorcontrib><creatorcontrib>Banks, Emily</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>PAIS Index</collection><collection>Environmental Sciences and Pollution Management</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>Physical Education Index</collection><collection>Safety Science and Risk</collection><collection>MEDLINE - Academic</collection><jtitle>Australian and New Zealand journal of public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ng, Suan Peng</au><au>Korda, Rosemary</au><au>Clements, Mark</au><au>Latz, Isabel</au><au>Bauman, Adrian</au><au>Bambrick, Hilary</au><au>Liu, Bette</au><au>Rogers, Kris</au><au>Herbert, Nicol</au><au>Banks, Emily</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Validity of self‐reported height and weight and derived body mass index in middle‐aged and elderly individuals in Australia</atitle><jtitle>Australian and New Zealand journal of public health</jtitle><addtitle>Aust N Z J Public Health</addtitle><date>2011-12</date><risdate>2011</risdate><volume>35</volume><issue>6</issue><spage>557</spage><epage>563</epage><pages>557-563</pages><issn>1326-0200</issn><eissn>1753-6405</eissn><abstract>Body mass index (BMI) is an important measure of adiposity. While BMI derived from self‐reported data generally agrees well with that derived from measured values, evidence from Australia is limited, particularly for the elderly.
We compared self‐reported with measured height and weight in a random sample of 608 individuals aged ≥45 from the 45 and Up Study, an Australian population‐based cohort study. We assessed degree of agreement and correlation between measures, and calculated sensitivity and specificity to quantify BMI category misclassification.
On average, in males and females respectively, height was overestimated by 1.24cm (95% CI: 0.75–1.72) and 0.59cm (0.26–0.92); weight was underestimated by 1.68kg (–1.99– ‐1.36) and 1.02kg (–1.24– ‐0.80); and BMI based on self‐reported measures was underestimated by 0.90kg/m2 (–1.09– ‐0.70) and 0.60 kg/m2 (–0.75– ‐0.45). Underestimation increased with increasing measured BMI. There were strong correlations between self‐reported and measured height, weight and BMI (r=0.95, 0.99 and 0.95, respectively, p<0.001). While there was excellent agreement between BMI categories from self‐reported and measured data (kappa=0.80), obesity prevalence was underestimated. Findings did not differ substantially between middle‐aged and elderly participants.
Self‐reported data on height and weight quantify body size appropriately in middle‐aged and elderly individuals for relative measures, such as quantiles of BMI. However, caution is necessary when reporting on absolute BMI and standard BMI categories, based on self‐reported data, particularly since use of such data is likely to result in underestimation of the prevalence of obesity.</abstract><cop>Oxford, UK</cop><pub>Elsevier B.V</pub><pmid>22151163</pmid><doi>10.1111/j.1753-6405.2011.00742.x</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Accuracy Adipose tissue Adults Aged Aged, 80 and over Aging Aging - physiology Agreements Anthropometry Australia BMI Body Height Body Mass Index Body size Body Weight Cohort analysis Cohort Studies Data Exercise Female height Humans Indexes Male Middle age Middle Aged New South Wales - epidemiology Nutrition Obesity Obesity - epidemiology Older people Overweight Population studies Public health Reproducibility of Results Self Disclosure Self image Self report Sensitivity and Specificity Socioeconomic factors Surveys and Questionnaires - standards Validity Weight Women |
title | Validity of self‐reported height and weight and derived body mass index in middle‐aged and elderly individuals in Australia |
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