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Characteristics associated with anti-osteoporosis medication use: Data from the Global Longitudinal Study of Osteoporosis in Women (GLOW) USA cohort

Identifieur interne : 000589 ( France/Analysis ); précédent : 000588; suivant : 000590

Characteristics associated with anti-osteoporosis medication use: Data from the Global Longitudinal Study of Osteoporosis in Women (GLOW) USA cohort

Auteurs : Pamela Guggina [États-Unis] ; Julie Flahive [États-Unis] ; Frederick H. Hooven [États-Unis] ; Nelson B. Watts [États-Unis] ; Ethel S. Siris [États-Unis] ; Stuart Silverman [États-Unis] ; Christian Roux [France] ; Johannes Pfeilschifter [Allemagne] ; Susan L. Greenspan [États-Unis] ; Adolfo Diez-Perez [Espagne] ; Cyrus Cooper [Royaume-Uni] ; Juliet E. Compston [Royaume-Uni] ; Roland Chapurlat [France] ; Steven Boonen [Belgique] ; Jonathan D. Adachi [Canada] ; Frederick A. Jr Anderson [États-Unis] ; Stephen Gehlbach [États-Unis]

Source :

RBID : Pascal:13-0144519

Descripteurs français

English descriptors

Abstract

Introduction: Many women at risk of fracture do not receive anti-osteoporosis medication (AOM), while others may be receiving unnecessary treatment. Purpose: To examine the characteristics associated with AOM use among women at low and high risks of fracture. Methods: The Global Longitudinal Study of Osteoporosis in Women (GLOW) is a prospective cohort study in which data were collected, via self-administered questionnaires, from 60,393 non-institutionalized women aged ≥55 years in 10 countries between October 1, 2006 and April 30, 2008. This is a cross-sectional analysis of baseline USA data, in which women were classified as having low fracture risk (<65 years; no FRAX risk factors) or high fracture risk (≥65 years; prior fracture or ≥2 other FRAX risk factors). Results: Of 27,957 women, 3013 were at low risk of fracture and 3699 were at high risk. Only 35.7% of high-risk women reported AOM treatment, rising to 39.5% for those with self-reported osteopenia and 65.4% for those with self-reported osteoporosis. Conversely, 13.4% of low-risk women reported AOM, rising to 28.7% for osteopenia and 62.4% for osteoporosis. Characteristics associated with significantly higher AOM treatment rates among low- and high-risk women were: osteoporosis (odds ratios 75.3 and 18.1, respectively), osteopenia (17.9 and 6.3), concern about osteoporosis (2.0 and 1.8), higher perceived risk of fracture (2.3 and 1.6), and higher vitality score (1.7 and 1.6). Conclusion: Use of AOM is frequently inconsistent with published guidelines in both high- and low-risk women. Characteristics other than FRAX fracture risk appear to influence this use, particularly the presence of self-reported osteoporosis.


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Pascal:13-0144519

Le document en format XML

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<title xml:lang="en" level="a">Characteristics associated with anti-osteoporosis medication use: Data from the Global Longitudinal Study of Osteoporosis in Women (GLOW) USA cohort</title>
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<name sortKey="Guggina, Pamela" sort="Guggina, Pamela" uniqKey="Guggina P" first="Pamela" last="Guggina">Pamela Guggina</name>
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<name sortKey="Diez Perez, Adolfo" sort="Diez Perez, Adolfo" uniqKey="Diez Perez A" first="Adolfo" last="Diez-Perez">Adolfo Diez-Perez</name>
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<name sortKey="Cooper, Cyrus" sort="Cooper, Cyrus" uniqKey="Cooper C" first="Cyrus" last="Cooper">Cyrus Cooper</name>
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<name sortKey="Compston, Juliet E" sort="Compston, Juliet E" uniqKey="Compston J" first="Juliet E." last="Compston">Juliet E. Compston</name>
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<name sortKey="Chapurlat, Roland" sort="Chapurlat, Roland" uniqKey="Chapurlat R" first="Roland" last="Chapurlat">Roland Chapurlat</name>
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<region type="region">Auvergne-Rhône-Alpes</region>
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<name sortKey="Boonen, Steven" sort="Boonen, Steven" uniqKey="Boonen S" first="Steven" last="Boonen">Steven Boonen</name>
<affiliation wicri:level="4">
<inist:fA14 i1="12">
<s1>Division of Geriatric Medicine, Leuven University Center for Metabolic Bone Diseases, Katholieke Universiteit Leuven</s1>
<s2>Leuven</s2>
<s3>BEL</s3>
<sZ>14 aut.</sZ>
</inist:fA14>
<country>Belgique</country>
<placeName>
<settlement type="city">Louvain</settlement>
<region>Région flamande</region>
<region type="district" nuts="2">Province du Brabant flamand</region>
</placeName>
<orgName type="university">Katholieke Universiteit Leuven</orgName>
</affiliation>
</author>
<author>
<name sortKey="Adachi, Jonathan D" sort="Adachi, Jonathan D" uniqKey="Adachi J" first="Jonathan D." last="Adachi">Jonathan D. Adachi</name>
<affiliation wicri:level="4">
<inist:fA14 i1="13">
<s1>St. Joseph's Hospital, McMaster University</s1>
<s2>Hamilton, ON</s2>
<s3>CAN</s3>
<sZ>15 aut.</sZ>
</inist:fA14>
<country>Canada</country>
<placeName>
<settlement type="city">Hamilton (Ontario)</settlement>
<region type="state">Ontario</region>
</placeName>
<orgName type="university">Université McMaster</orgName>
</affiliation>
</author>
<author>
<name sortKey="Anderson, Frederick A Jr" sort="Anderson, Frederick A Jr" uniqKey="Anderson F" first="Frederick A. Jr" last="Anderson">Frederick A. Jr Anderson</name>
<affiliation wicri:level="1">
<inist:fA14 i1="01">
<s1>Center for Outcomes Research, University of Massachusetts Medical School</s1>
<s2>Worcester, MA</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>16 aut.</sZ>
<sZ>17 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
<wicri:noRegion>Worcester, MA</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Gehlbach, Stephen" sort="Gehlbach, Stephen" uniqKey="Gehlbach S" first="Stephen" last="Gehlbach">Stephen Gehlbach</name>
<affiliation wicri:level="1">
<inist:fA14 i1="01">
<s1>Center for Outcomes Research, University of Massachusetts Medical School</s1>
<s2>Worcester, MA</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>16 aut.</sZ>
<sZ>17 aut.</sZ>
</inist:fA14>
<country>États-Unis</country>
<wicri:noRegion>Worcester, MA</wicri:noRegion>
</affiliation>
</author>
</analytic>
<series>
<title level="j" type="main">Bone : (New York, NY)</title>
<title level="j" type="abbreviated">Bone : (NY NY)</title>
<idno type="ISSN">8756-3282</idno>
<imprint>
<date when="2012">2012</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
<seriesStmt>
<title level="j" type="main">Bone : (New York, NY)</title>
<title level="j" type="abbreviated">Bone : (NY NY)</title>
<idno type="ISSN">8756-3282</idno>
</seriesStmt>
</fileDesc>
<profileDesc>
<textClass>
<keywords scheme="KwdEn" xml:lang="en">
<term>Characteristic</term>
<term>Fracture</term>
<term>Morphology</term>
<term>Osteoporosis</term>
<term>Postmenopause</term>
<term>Risk factor</term>
<term>Treatment</term>
<term>United States</term>
<term>Woman</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr">
<term>Caractéristique</term>
<term>Ostéoporose</term>
<term>Traitement</term>
<term>Femme</term>
<term>Etats-Unis</term>
<term>Fracture</term>
<term>Facteur risque</term>
<term>Postménopause</term>
<term>Morphologie</term>
</keywords>
<keywords scheme="Wicri" type="topic" xml:lang="fr">
<term>Femme</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">Introduction: Many women at risk of fracture do not receive anti-osteoporosis medication (AOM), while others may be receiving unnecessary treatment. Purpose: To examine the characteristics associated with AOM use among women at low and high risks of fracture. Methods: The Global Longitudinal Study of Osteoporosis in Women (GLOW) is a prospective cohort study in which data were collected, via self-administered questionnaires, from 60,393 non-institutionalized women aged ≥55 years in 10 countries between October 1, 2006 and April 30, 2008. This is a cross-sectional analysis of baseline USA data, in which women were classified as having low fracture risk (<65 years; no FRAX risk factors) or high fracture risk (≥65 years; prior fracture or ≥2 other FRAX risk factors). Results: Of 27,957 women, 3013 were at low risk of fracture and 3699 were at high risk. Only 35.7% of high-risk women reported AOM treatment, rising to 39.5% for those with self-reported osteopenia and 65.4% for those with self-reported osteoporosis. Conversely, 13.4% of low-risk women reported AOM, rising to 28.7% for osteopenia and 62.4% for osteoporosis. Characteristics associated with significantly higher AOM treatment rates among low- and high-risk women were: osteoporosis (odds ratios 75.3 and 18.1, respectively), osteopenia (17.9 and 6.3), concern about osteoporosis (2.0 and 1.8), higher perceived risk of fracture (2.3 and 1.6), and higher vitality score (1.7 and 1.6). Conclusion: Use of AOM is frequently inconsistent with published guidelines in both high- and low-risk women. Characteristics other than FRAX fracture risk appear to influence this use, particularly the presence of self-reported osteoporosis.</div>
</front>
</TEI>
<affiliations>
<list>
<country>
<li>Allemagne</li>
<li>Belgique</li>
<li>Canada</li>
<li>Espagne</li>
<li>France</li>
<li>Royaume-Uni</li>
<li>États-Unis</li>
</country>
<region>
<li>Auvergne-Rhône-Alpes</li>
<li>Catalogne</li>
<li>Ontario</li>
<li>Pennsylvanie</li>
<li>Province du Brabant flamand</li>
<li>Rhône-Alpes</li>
<li>Région flamande</li>
<li>Île-de-France</li>
</region>
<settlement>
<li>Barcelone</li>
<li>Hamilton (Ontario)</li>
<li>Louvain</li>
<li>Lyon</li>
<li>Paris</li>
<li>Pittsburgh</li>
</settlement>
<orgName>
<li>Katholieke Universiteit Leuven</li>
<li>Université McMaster</li>
<li>Université de Pittsburgh</li>
</orgName>
</list>
<tree>
<country name="États-Unis">
<noRegion>
<name sortKey="Guggina, Pamela" sort="Guggina, Pamela" uniqKey="Guggina P" first="Pamela" last="Guggina">Pamela Guggina</name>
</noRegion>
<name sortKey="Anderson, Frederick A Jr" sort="Anderson, Frederick A Jr" uniqKey="Anderson F" first="Frederick A. Jr" last="Anderson">Frederick A. Jr Anderson</name>
<name sortKey="Flahive, Julie" sort="Flahive, Julie" uniqKey="Flahive J" first="Julie" last="Flahive">Julie Flahive</name>
<name sortKey="Gehlbach, Stephen" sort="Gehlbach, Stephen" uniqKey="Gehlbach S" first="Stephen" last="Gehlbach">Stephen Gehlbach</name>
<name sortKey="Greenspan, Susan L" sort="Greenspan, Susan L" uniqKey="Greenspan S" first="Susan L." last="Greenspan">Susan L. Greenspan</name>
<name sortKey="Hooven, Frederick H" sort="Hooven, Frederick H" uniqKey="Hooven F" first="Frederick H." last="Hooven">Frederick H. Hooven</name>
<name sortKey="Silverman, Stuart" sort="Silverman, Stuart" uniqKey="Silverman S" first="Stuart" last="Silverman">Stuart Silverman</name>
<name sortKey="Siris, Ethel S" sort="Siris, Ethel S" uniqKey="Siris E" first="Ethel S." last="Siris">Ethel S. Siris</name>
<name sortKey="Watts, Nelson B" sort="Watts, Nelson B" uniqKey="Watts N" first="Nelson B." last="Watts">Nelson B. Watts</name>
</country>
<country name="France">
<region name="Île-de-France">
<name sortKey="Roux, Christian" sort="Roux, Christian" uniqKey="Roux C" first="Christian" last="Roux">Christian Roux</name>
</region>
<name sortKey="Chapurlat, Roland" sort="Chapurlat, Roland" uniqKey="Chapurlat R" first="Roland" last="Chapurlat">Roland Chapurlat</name>
</country>
<country name="Allemagne">
<noRegion>
<name sortKey="Pfeilschifter, Johannes" sort="Pfeilschifter, Johannes" uniqKey="Pfeilschifter J" first="Johannes" last="Pfeilschifter">Johannes Pfeilschifter</name>
</noRegion>
</country>
<country name="Espagne">
<region name="Catalogne">
<name sortKey="Diez Perez, Adolfo" sort="Diez Perez, Adolfo" uniqKey="Diez Perez A" first="Adolfo" last="Diez-Perez">Adolfo Diez-Perez</name>
</region>
</country>
<country name="Royaume-Uni">
<noRegion>
<name sortKey="Cooper, Cyrus" sort="Cooper, Cyrus" uniqKey="Cooper C" first="Cyrus" last="Cooper">Cyrus Cooper</name>
</noRegion>
<name sortKey="Compston, Juliet E" sort="Compston, Juliet E" uniqKey="Compston J" first="Juliet E." last="Compston">Juliet E. Compston</name>
</country>
<country name="Belgique">
<region name="Région flamande">
<name sortKey="Boonen, Steven" sort="Boonen, Steven" uniqKey="Boonen S" first="Steven" last="Boonen">Steven Boonen</name>
</region>
</country>
<country name="Canada">
<region name="Ontario">
<name sortKey="Adachi, Jonathan D" sort="Adachi, Jonathan D" uniqKey="Adachi J" first="Jonathan D." last="Adachi">Jonathan D. Adachi</name>
</region>
</country>
</tree>
</affiliations>
</record>

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