EdenteV2, PascalFrancis, Curation, bibRecord, 000B16

Tooth counts do not predict bone mineral density in early postmenopausal Caucasian women

Identifieur interne : 000B16 ( PascalFrancis/Curation ); précédent : 000B15; suivant : 000B17

Tooth counts do not predict bone mineral density in early postmenopausal Caucasian women

Auteurs : S. A. Earnshaw [Royaume-Uni] ; N. Keating [Royaume-Uni] ; D. J. Hosking [Royaume-Uni] ; C. E. D. Chilvers [Royaume-Uni] ; P. Ravn [Danemark] ; M. Mcclung [États-Unis] ; R. D. Wasnich [États-Unis]

Source :

International journal of epidemiology [ 0300-5771 ] ; 1998.

RBID : Pascal:98-0395665

Descripteurs français

Pascal (Inist)
- Ostéoporose, Densité, Os, Postménopause, Dent, Perte, Epidémiologie, Prédiction, Prédicteur, Facteur risque, Homme, Femelle, Age 50-59, Santé publique, Etude multicentrique, Ethnie, Caucasoïde.
Wicri :
- topic : Homme, Santé publique.

English descriptors

KwdEn :
- Age 50-59, Bone, Caucasoid, Density, Epidemiology, Ethnic group, Female, Human, Loss, Multicenter study, Osteoporosis, Postmenopause, Prediction, Predictor, Public health, Risk factor, Tooth.

Abstract

Background It has been suggested that poor dental status may be a suitable criterion for bone densitometry referral in early postmenopausal women. We evaluated this hypothesis in a cohort of 1365 Caucasian women aged between 45 and 59 years, who were enrolled into an international multi-centre trial. Methods Subjects were recruited at four study centres, using population-based techniques. Bone mincral density (BMD) at the lumbar spine and proximal femur was measured by dual energy x-ray absorptiometry (DXA) (Hologic QDR 2000). A full physical examination was performed including a tooth count. Results Baseline tooth counts ranged from 0 to 32 (median 26): 84 (6%) subjects were edentulous. When classified according to the WHO criteria 445 (33%) of the subjects were osteoporotic at one or more of the skeletal sites analysed; 694 (51%) were osteopenic, and 226 (16%) were normal. Adjusting for confounding variables, there was no significant correlation between tooth count and BMD at any skeletal site. Subjects were divided into tertiles of tooth count, and x² tests used to compare the two 'extreme' groups against the WHO criteria for BMD. At each of the six BMD regions the proportion of subjects with normal, osteopenic or osteoporotic BMD was similar for both tertiles. Conclusions We found no relationship between tooth count and BMD in early postmenopausal women. This may be because in younger women dental status is a reflection more of dietary habits and past dental surgery than of age-related bone loss. Tooth counts therefore cannot be used to identify individuals at risk of osteoporosis.

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A14	`04`			`@1 Oregon Osteoporosis Center @2 Portland, OR @3 USA @Z 6 aut.`
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C01	`01`		`ENG`	@0 Background It has been suggested that poor dental status may be a suitable criterion for bone densitometry referral in early postmenopausal women. We evaluated this hypothesis in a cohort of 1365 Caucasian women aged between 45 and 59 years, who were enrolled into an international multi-centre trial. Methods Subjects were recruited at four study centres, using population-based techniques. Bone mincral density (BMD) at the lumbar spine and proximal femur was measured by dual energy x-ray absorptiometry (DXA) (Hologic QDR 2000). A full physical examination was performed including a tooth count. Results Baseline tooth counts ranged from 0 to 32 (median 26): 84 (6%) subjects were edentulous. When classified according to the WHO criteria 445 (33%) of the subjects were osteoporotic at one or more of the skeletal sites analysed; 694 (51%) were osteopenic, and 226 (16%) were normal. Adjusting for confounding variables, there was no significant correlation between tooth count and BMD at any skeletal site. Subjects were divided into tertiles of tooth count, and x² tests used to compare the two 'extreme' groups against the WHO criteria for BMD. At each of the six BMD regions the proportion of subjects with normal, osteopenic or osteoporotic BMD was similar for both tertiles. Conclusions We found no relationship between tooth count and BMD in early postmenopausal women. This may be because in younger women dental status is a reflection more of dietary habits and past dental surgery than of age-related bone loss. Tooth counts therefore cannot be used to identify individuals at risk of osteoporosis.
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Le document en format XML

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<term>Female</term>
<term>Human</term>
<term>Loss</term>
<term>Multicenter study</term>
<term>Osteoporosis</term>
<term>Postmenopause</term>
<term>Prediction</term>
<term>Predictor</term>
<term>Public health</term>
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<term>Perte</term>
<term>Epidémiologie</term>
<term>Prédiction</term>
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<front><div type="abstract" xml:lang="en">Background It has been suggested that poor dental status may be a suitable criterion for bone densitometry referral in early postmenopausal women. We evaluated this hypothesis in a cohort of 1365 Caucasian women aged between 45 and 59 years, who were enrolled into an international multi-centre trial. Methods Subjects were recruited at four study centres, using population-based techniques. Bone mincral density (BMD) at the lumbar spine and proximal femur was measured by dual energy x-ray absorptiometry (DXA) (Hologic QDR 2000). A full physical examination was performed including a tooth count. Results Baseline tooth counts ranged from 0 to 32 (median 26): 84 (6%) subjects were edentulous. When classified according to the WHO criteria 445 (33%) of the subjects were osteoporotic at one or more of the skeletal sites analysed; 694 (51%) were osteopenic, and 226 (16%) were normal. Adjusting for confounding variables, there was no significant correlation between tooth count and BMD at any skeletal site. Subjects were divided into tertiles of tooth count, and x<sup>2</sup>
 tests used to compare the two 'extreme' groups against the WHO criteria for BMD. At each of the six BMD regions the proportion of subjects with normal, osteopenic or osteoporotic BMD was similar for both tertiles. Conclusions We found no relationship between tooth count and BMD in early postmenopausal women. This may be because in younger women dental status is a reflection more of dietary habits and past dental surgery than of age-related bone loss. Tooth counts therefore cannot be used to identify individuals at risk of osteoporosis.</div>
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</fA64>
<fA66 i1="01"><s0>GBR</s0>
</fA66>
<fC01 i1="01" l="ENG"><s0>Background It has been suggested that poor dental status may be a suitable criterion for bone densitometry referral in early postmenopausal women. We evaluated this hypothesis in a cohort of 1365 Caucasian women aged between 45 and 59 years, who were enrolled into an international multi-centre trial. Methods Subjects were recruited at four study centres, using population-based techniques. Bone mincral density (BMD) at the lumbar spine and proximal femur was measured by dual energy x-ray absorptiometry (DXA) (Hologic QDR 2000). A full physical examination was performed including a tooth count. Results Baseline tooth counts ranged from 0 to 32 (median 26): 84 (6%) subjects were edentulous. When classified according to the WHO criteria 445 (33%) of the subjects were osteoporotic at one or more of the skeletal sites analysed; 694 (51%) were osteopenic, and 226 (16%) were normal. Adjusting for confounding variables, there was no significant correlation between tooth count and BMD at any skeletal site. Subjects were divided into tertiles of tooth count, and x<sup>2</sup>
 tests used to compare the two 'extreme' groups against the WHO criteria for BMD. At each of the six BMD regions the proportion of subjects with normal, osteopenic or osteoporotic BMD was similar for both tertiles. Conclusions We found no relationship between tooth count and BMD in early postmenopausal women. This may be because in younger women dental status is a reflection more of dietary habits and past dental surgery than of age-related bone loss. Tooth counts therefore cannot be used to identify individuals at risk of osteoporosis.</s0>
</fC01>
<fC02 i1="01" i2="X"><s0>002B15A</s0>
</fC02>
<fC03 i1="01" i2="X" l="FRE"><s0>Ostéoporose</s0>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="X" l="ENG"><s0>Osteoporosis</s0>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="X" l="SPA"><s0>Osteoporosis</s0>
<s5>01</s5>
</fC03>
<fC03 i1="02" i2="X" l="FRE"><s0>Densité</s0>
<s5>04</s5>
</fC03>
<fC03 i1="02" i2="X" l="ENG"><s0>Density</s0>
<s5>04</s5>
</fC03>
<fC03 i1="02" i2="X" l="SPA"><s0>Densidad</s0>
<s5>04</s5>
</fC03>
<fC03 i1="03" i2="X" l="FRE"><s0>Os</s0>
<s5>05</s5>
</fC03>
<fC03 i1="03" i2="X" l="ENG"><s0>Bone</s0>
<s5>05</s5>
</fC03>
<fC03 i1="03" i2="X" l="SPA"><s0>Hueso</s0>
<s5>05</s5>
</fC03>
<fC03 i1="04" i2="X" l="FRE"><s0>Postménopause</s0>
<s5>07</s5>
</fC03>
<fC03 i1="04" i2="X" l="ENG"><s0>Postmenopause</s0>
<s5>07</s5>
</fC03>
<fC03 i1="04" i2="X" l="SPA"><s0>Postmenopausia</s0>
<s5>07</s5>
</fC03>
<fC03 i1="05" i2="X" l="FRE"><s0>Dent</s0>
<s5>10</s5>
</fC03>
<fC03 i1="05" i2="X" l="ENG"><s0>Tooth</s0>
<s5>10</s5>
</fC03>
<fC03 i1="05" i2="X" l="SPA"><s0>Diente</s0>
<s5>10</s5>
</fC03>
<fC03 i1="06" i2="X" l="FRE"><s0>Perte</s0>
<s5>11</s5>
</fC03>
<fC03 i1="06" i2="X" l="ENG"><s0>Loss</s0>
<s5>11</s5>
</fC03>
<fC03 i1="06" i2="X" l="SPA"><s0>Pérdida</s0>
<s5>11</s5>
</fC03>
<fC03 i1="07" i2="X" l="FRE"><s0>Epidémiologie</s0>
<s5>16</s5>
</fC03>
<fC03 i1="07" i2="X" l="ENG"><s0>Epidemiology</s0>
<s5>16</s5>
</fC03>
<fC03 i1="07" i2="X" l="SPA"><s0>Epidemiología</s0>
<s5>16</s5>
</fC03>
<fC03 i1="08" i2="X" l="FRE"><s0>Prédiction</s0>
<s5>17</s5>
</fC03>
<fC03 i1="08" i2="X" l="ENG"><s0>Prediction</s0>
<s5>17</s5>
</fC03>
<fC03 i1="08" i2="X" l="SPA"><s0>Predicción</s0>
<s5>17</s5>
</fC03>
<fC03 i1="09" i2="X" l="FRE"><s0>Prédicteur</s0>
<s5>18</s5>
</fC03>
<fC03 i1="09" i2="X" l="ENG"><s0>Predictor</s0>
<s5>18</s5>
</fC03>
<fC03 i1="09" i2="X" l="SPA"><s0>Predictor</s0>
<s5>18</s5>
</fC03>
<fC03 i1="10" i2="X" l="FRE"><s0>Facteur risque</s0>
<s5>19</s5>
</fC03>
<fC03 i1="10" i2="X" l="ENG"><s0>Risk factor</s0>
<s5>19</s5>
</fC03>
<fC03 i1="10" i2="X" l="SPA"><s0>Factor riesgo</s0>
<s5>19</s5>
</fC03>
<fC03 i1="11" i2="X" l="FRE"><s0>Homme</s0>
<s5>20</s5>
</fC03>
<fC03 i1="11" i2="X" l="ENG"><s0>Human</s0>
<s5>20</s5>
</fC03>
<fC03 i1="11" i2="X" l="SPA"><s0>Hombre</s0>
<s5>20</s5>
</fC03>
<fC03 i1="12" i2="X" l="FRE"><s0>Femelle</s0>
<s5>21</s5>
</fC03>
<fC03 i1="12" i2="X" l="ENG"><s0>Female</s0>
<s5>21</s5>
</fC03>
<fC03 i1="12" i2="X" l="SPA"><s0>Hembra</s0>
<s5>21</s5>
</fC03>
<fC03 i1="13" i2="X" l="FRE"><s0>Age 50-59</s0>
<s5>22</s5>
</fC03>
<fC03 i1="13" i2="X" l="ENG"><s0>Age 50-59</s0>
<s5>22</s5>
</fC03>
<fC03 i1="13" i2="X" l="SPA"><s0>Edad 50-59</s0>
<s5>22</s5>
</fC03>
<fC03 i1="14" i2="X" l="FRE"><s0>Santé publique</s0>
<s5>23</s5>
</fC03>
<fC03 i1="14" i2="X" l="ENG"><s0>Public health</s0>
<s5>23</s5>
</fC03>
<fC03 i1="14" i2="X" l="SPA"><s0>Salud pública</s0>
<s5>23</s5>
</fC03>
<fC03 i1="15" i2="X" l="FRE"><s0>Etude multicentrique</s0>
<s5>24</s5>
</fC03>
<fC03 i1="15" i2="X" l="ENG"><s0>Multicenter study</s0>
<s5>24</s5>
</fC03>
<fC03 i1="15" i2="X" l="SPA"><s0>Estudio multicéntrico</s0>
<s5>24</s5>
</fC03>
<fC03 i1="16" i2="X" l="FRE"><s0>Ethnie</s0>
<s5>35</s5>
</fC03>
<fC03 i1="16" i2="X" l="ENG"><s0>Ethnic group</s0>
<s5>35</s5>
</fC03>
<fC03 i1="16" i2="X" l="SPA"><s0>Etnia</s0>
<s5>35</s5>
</fC03>
<fC03 i1="17" i2="X" l="FRE"><s0>Caucasoïde</s0>
<s5>36</s5>
</fC03>
<fC03 i1="17" i2="X" l="ENG"><s0>Caucasoid</s0>
<s5>36</s5>
</fC03>
<fC03 i1="17" i2="X" l="SPA"><s0>Caucásico</s0>
<s5>36</s5>
</fC03>
<fC07 i1="01" i2="X" l="FRE"><s0>Système ostéoarticulaire pathologie</s0>
<s5>37</s5>
</fC07>
<fC07 i1="01" i2="X" l="ENG"><s0>Diseases of the osteoarticular system</s0>
<s5>37</s5>
</fC07>
<fC07 i1="01" i2="X" l="SPA"><s0>Sistema osteoarticular patología</s0>
<s5>37</s5>
</fC07>
<fC07 i1="02" i2="X" l="FRE"><s0>Ostéopathie</s0>
<s5>38</s5>
</fC07>
<fC07 i1="02" i2="X" l="ENG"><s0>Bone disease</s0>
<s5>38</s5>
</fC07>
<fC07 i1="02" i2="X" l="SPA"><s0>Osteopatía</s0>
<s5>38</s5>
</fC07>
<fN21><s1>264</s1>
</fN21>
</pA>
</standard>
</inist>
</record>

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Tooth counts do not predict bone mineral density in early postmenopausal Caucasian women

Tooth counts do not predict bone mineral density in early postmenopausal Caucasian women

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