Two faller risk functions for geriatric assessment unit patients
Abstract This study was done in order to construct a simple clinical failer predictor model, which quantifies risk for the individual elderly patient. Fifty patients sequentially admitted to a geriatric assessment unit were assessed systematically at admission for six potential failer risk factors:...
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| Autor*in: |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
1991 |
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| Umfang: |
8 |
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| Reproduktion: |
Springer Online Journal Archives 1860-2002 |
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| Übergeordnetes Werk: |
in: Age - 1978, 14(1991) vom: Jan., Seite 5-12 |
| Übergeordnetes Werk: |
volume:14 ; year:1991 ; month:01 ; pages:5-12 ; extent:8 |
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NLEJ196259282 |
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| 520 | |a Abstract This study was done in order to construct a simple clinical failer predictor model, which quantifies risk for the individual elderly patient. Fifty patients sequentially admitted to a geriatric assessment unit were assessed systematically at admission for six potential failer risk factors: age, gait, speed, gait quality, gender, symptoms of urinary urgency, and symptoms of dizziness. Falls were systematically recorded during admission. Only age, abnormal gait, and self-selected gait speed were found to be associated with fallers. Multivariate analysis revealed that the two best models for predicting those most likely to be fallers were the factor subgroups: 1) age plus gait quality, and 2) age plus gait speed. The difference between the two models is the choice of gait measure incorporated. Gait speed is a continuous quantitative variable with no known limit of normal. Gait quality is a qualitative variable where abnormal gait is defined by clinical criteria. The predictability of each model was verified in another population (N=78). | ||
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| 700 | 1 | |a McClaran {roDirector}, Jacqueline |4 oth | |
| 700 | 1 | |a Forette, Francoise |4 oth | |
| 700 | 1 | |a Golmard, Jean-Louis |4 oth | |
| 700 | 1 | |a Hérvy, Marie-Pierre |4 oth | |
| 700 | 1 | |a Bouchacourt, Patrice |4 oth | |
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(DE-627)NLEJ196259282 DE-627 ger DE-627 rakwb eng Two faller risk functions for geriatric assessment unit patients 1991 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Abstract This study was done in order to construct a simple clinical failer predictor model, which quantifies risk for the individual elderly patient. Fifty patients sequentially admitted to a geriatric assessment unit were assessed systematically at admission for six potential failer risk factors: age, gait, speed, gait quality, gender, symptoms of urinary urgency, and symptoms of dizziness. Falls were systematically recorded during admission. Only age, abnormal gait, and self-selected gait speed were found to be associated with fallers. Multivariate analysis revealed that the two best models for predicting those most likely to be fallers were the factor subgroups: 1) age plus gait quality, and 2) age plus gait speed. The difference between the two models is the choice of gait measure incorporated. Gait speed is a continuous quantitative variable with no known limit of normal. Gait quality is a qualitative variable where abnormal gait is defined by clinical criteria. The predictability of each model was verified in another population (N=78). Springer Online Journal Archives 1860-2002 McClaran {roDirector}, Jacqueline oth Forette, Francoise oth Golmard, Jean-Louis oth Hérvy, Marie-Pierre oth Bouchacourt, Patrice oth in Age 1978 14(1991) vom: Jan., Seite 5-12 (DE-627)NLEJ188991581 (DE-600)2201958-3 1574-4647 nnns volume:14 year:1991 month:01 pages:5-12 extent:8 http://dx.doi.org/10.1007/BF02434841 GBV_USEFLAG_U ZDB-1-SOJ GBV_NL_ARTICLE AR 14 1991 1 5-12 8 |
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(DE-627)NLEJ196259282 DE-627 ger DE-627 rakwb eng Two faller risk functions for geriatric assessment unit patients 1991 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Abstract This study was done in order to construct a simple clinical failer predictor model, which quantifies risk for the individual elderly patient. Fifty patients sequentially admitted to a geriatric assessment unit were assessed systematically at admission for six potential failer risk factors: age, gait, speed, gait quality, gender, symptoms of urinary urgency, and symptoms of dizziness. Falls were systematically recorded during admission. Only age, abnormal gait, and self-selected gait speed were found to be associated with fallers. Multivariate analysis revealed that the two best models for predicting those most likely to be fallers were the factor subgroups: 1) age plus gait quality, and 2) age plus gait speed. The difference between the two models is the choice of gait measure incorporated. Gait speed is a continuous quantitative variable with no known limit of normal. Gait quality is a qualitative variable where abnormal gait is defined by clinical criteria. The predictability of each model was verified in another population (N=78). Springer Online Journal Archives 1860-2002 McClaran {roDirector}, Jacqueline oth Forette, Francoise oth Golmard, Jean-Louis oth Hérvy, Marie-Pierre oth Bouchacourt, Patrice oth in Age 1978 14(1991) vom: Jan., Seite 5-12 (DE-627)NLEJ188991581 (DE-600)2201958-3 1574-4647 nnns volume:14 year:1991 month:01 pages:5-12 extent:8 http://dx.doi.org/10.1007/BF02434841 GBV_USEFLAG_U ZDB-1-SOJ GBV_NL_ARTICLE AR 14 1991 1 5-12 8 |
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(DE-627)NLEJ196259282 DE-627 ger DE-627 rakwb eng Two faller risk functions for geriatric assessment unit patients 1991 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Abstract This study was done in order to construct a simple clinical failer predictor model, which quantifies risk for the individual elderly patient. Fifty patients sequentially admitted to a geriatric assessment unit were assessed systematically at admission for six potential failer risk factors: age, gait, speed, gait quality, gender, symptoms of urinary urgency, and symptoms of dizziness. Falls were systematically recorded during admission. Only age, abnormal gait, and self-selected gait speed were found to be associated with fallers. Multivariate analysis revealed that the two best models for predicting those most likely to be fallers were the factor subgroups: 1) age plus gait quality, and 2) age plus gait speed. The difference between the two models is the choice of gait measure incorporated. Gait speed is a continuous quantitative variable with no known limit of normal. Gait quality is a qualitative variable where abnormal gait is defined by clinical criteria. The predictability of each model was verified in another population (N=78). Springer Online Journal Archives 1860-2002 McClaran {roDirector}, Jacqueline oth Forette, Francoise oth Golmard, Jean-Louis oth Hérvy, Marie-Pierre oth Bouchacourt, Patrice oth in Age 1978 14(1991) vom: Jan., Seite 5-12 (DE-627)NLEJ188991581 (DE-600)2201958-3 1574-4647 nnns volume:14 year:1991 month:01 pages:5-12 extent:8 http://dx.doi.org/10.1007/BF02434841 GBV_USEFLAG_U ZDB-1-SOJ GBV_NL_ARTICLE AR 14 1991 1 5-12 8 |
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(DE-627)NLEJ196259282 DE-627 ger DE-627 rakwb eng Two faller risk functions for geriatric assessment unit patients 1991 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Abstract This study was done in order to construct a simple clinical failer predictor model, which quantifies risk for the individual elderly patient. Fifty patients sequentially admitted to a geriatric assessment unit were assessed systematically at admission for six potential failer risk factors: age, gait, speed, gait quality, gender, symptoms of urinary urgency, and symptoms of dizziness. Falls were systematically recorded during admission. Only age, abnormal gait, and self-selected gait speed were found to be associated with fallers. Multivariate analysis revealed that the two best models for predicting those most likely to be fallers were the factor subgroups: 1) age plus gait quality, and 2) age plus gait speed. The difference between the two models is the choice of gait measure incorporated. Gait speed is a continuous quantitative variable with no known limit of normal. Gait quality is a qualitative variable where abnormal gait is defined by clinical criteria. The predictability of each model was verified in another population (N=78). Springer Online Journal Archives 1860-2002 McClaran {roDirector}, Jacqueline oth Forette, Francoise oth Golmard, Jean-Louis oth Hérvy, Marie-Pierre oth Bouchacourt, Patrice oth in Age 1978 14(1991) vom: Jan., Seite 5-12 (DE-627)NLEJ188991581 (DE-600)2201958-3 1574-4647 nnns volume:14 year:1991 month:01 pages:5-12 extent:8 http://dx.doi.org/10.1007/BF02434841 GBV_USEFLAG_U ZDB-1-SOJ GBV_NL_ARTICLE AR 14 1991 1 5-12 8 |
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Abstract This study was done in order to construct a simple clinical failer predictor model, which quantifies risk for the individual elderly patient. Fifty patients sequentially admitted to a geriatric assessment unit were assessed systematically at admission for six potential failer risk factors: age, gait, speed, gait quality, gender, symptoms of urinary urgency, and symptoms of dizziness. Falls were systematically recorded during admission. Only age, abnormal gait, and self-selected gait speed were found to be associated with fallers. Multivariate analysis revealed that the two best models for predicting those most likely to be fallers were the factor subgroups: 1) age plus gait quality, and 2) age plus gait speed. The difference between the two models is the choice of gait measure incorporated. Gait speed is a continuous quantitative variable with no known limit of normal. Gait quality is a qualitative variable where abnormal gait is defined by clinical criteria. The predictability of each model was verified in another population (N=78). |
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Abstract This study was done in order to construct a simple clinical failer predictor model, which quantifies risk for the individual elderly patient. Fifty patients sequentially admitted to a geriatric assessment unit were assessed systematically at admission for six potential failer risk factors: age, gait, speed, gait quality, gender, symptoms of urinary urgency, and symptoms of dizziness. Falls were systematically recorded during admission. Only age, abnormal gait, and self-selected gait speed were found to be associated with fallers. Multivariate analysis revealed that the two best models for predicting those most likely to be fallers were the factor subgroups: 1) age plus gait quality, and 2) age plus gait speed. The difference between the two models is the choice of gait measure incorporated. Gait speed is a continuous quantitative variable with no known limit of normal. Gait quality is a qualitative variable where abnormal gait is defined by clinical criteria. The predictability of each model was verified in another population (N=78). |
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Abstract This study was done in order to construct a simple clinical failer predictor model, which quantifies risk for the individual elderly patient. Fifty patients sequentially admitted to a geriatric assessment unit were assessed systematically at admission for six potential failer risk factors: age, gait, speed, gait quality, gender, symptoms of urinary urgency, and symptoms of dizziness. Falls were systematically recorded during admission. Only age, abnormal gait, and self-selected gait speed were found to be associated with fallers. Multivariate analysis revealed that the two best models for predicting those most likely to be fallers were the factor subgroups: 1) age plus gait quality, and 2) age plus gait speed. The difference between the two models is the choice of gait measure incorporated. Gait speed is a continuous quantitative variable with no known limit of normal. Gait quality is a qualitative variable where abnormal gait is defined by clinical criteria. The predictability of each model was verified in another population (N=78). |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">NLEJ196259282</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20210705185109.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">070526s1991 xx |||||o 00| ||eng c</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)NLEJ196259282</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Two faller risk functions for geriatric assessment unit patients</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">1991</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">8</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract This study was done in order to construct a simple clinical failer predictor model, which quantifies risk for the individual elderly patient. Fifty patients sequentially admitted to a geriatric assessment unit were assessed systematically at admission for six potential failer risk factors: age, gait, speed, gait quality, gender, symptoms of urinary urgency, and symptoms of dizziness. Falls were systematically recorded during admission. Only age, abnormal gait, and self-selected gait speed were found to be associated with fallers. Multivariate analysis revealed that the two best models for predicting those most likely to be fallers were the factor subgroups: 1) age plus gait quality, and 2) age plus gait speed. The difference between the two models is the choice of gait measure incorporated. Gait speed is a continuous quantitative variable with no known limit of normal. Gait quality is a qualitative variable where abnormal gait is defined by clinical criteria. The predictability of each model was verified in another population (N=78).</subfield></datafield><datafield tag="533" ind1=" " ind2=" "><subfield code="f">Springer Online Journal Archives 1860-2002</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">McClaran {roDirector}, Jacqueline</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Forette, Francoise</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Golmard, Jean-Louis</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hérvy, Marie-Pierre</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bouchacourt, Patrice</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">in</subfield><subfield code="t">Age</subfield><subfield code="d">1978</subfield><subfield code="g">14(1991) vom: Jan., Seite 5-12</subfield><subfield code="w">(DE-627)NLEJ188991581</subfield><subfield code="w">(DE-600)2201958-3</subfield><subfield code="x">1574-4647</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:14</subfield><subfield code="g">year:1991</subfield><subfield code="g">month:01</subfield><subfield code="g">pages:5-12</subfield><subfield code="g">extent:8</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://dx.doi.org/10.1007/BF02434841</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-SOJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_NL_ARTICLE</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">14</subfield><subfield code="j">1991</subfield><subfield code="c">1</subfield><subfield code="h">5-12</subfield><subfield code="g">8</subfield></datafield></record></collection>
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