Trajectories of positive aging: observations from the women's health initiative study
Identifieur interne : 004D73 ( Main/Exploration ); précédent : 004D72; suivant : 004D74Trajectories of positive aging: observations from the women's health initiative study
Auteurs : Oleg Zaslavsky [Israël] ; Barbara B. Cochrane [États-Unis] ; Nancy Fugate Woods [États-Unis] ; Andrea Z. Lacroix [États-Unis] ; JINGMIN LIU [États-Unis] ; Jerald R. Herting [États-Unis] ; Joseph S. Goveas [États-Unis] ; Karen C. Johnson [États-Unis] ; Lewis H. Kuller [États-Unis] ; Lisa W. Martin [États-Unis] ; Yvonne L. Michael [États-Unis] ; Jennifer G. Robinson [États-Unis] ; Marcia Stefanick [États-Unis] ; Lesley F. Tinker [États-Unis]Source :
- International psychogeriatrics [ 1041-6102 ] ; 2014.
Descripteurs français
- Pascal (Inist)
- Wicri :
- topic : Observation, Homme, Femme, Personne âgée.
English descriptors
- KwdEn :
Abstract
Background: The purpose of this study was to describe the longitudinal trajectories and bidirectional relationships of the physical-social and emotional functioning (EF) dimensions of positive aging and to identify their baseline characteristics. Methods: Women age 65 and older who enrolled in one or more Women's Health Initiative clinical trials (WHI CTs) and who had positive aging indicators measured at baseline and years 1, 3, 6, and 9 were included in these analyses (N = 2281). Analytic strategies included latent class growth modeling to identify longitudinal trajectories and multinomial logistic regression to examine the effects of baseline predictors on these trajectories. Results: A five-trajectory model was chosen to best represent the data. For Physical-Social Functioning (PSF), trajectory groups included Low Maintainer (8.3%), Mid-Low Improver (10.4%), Medium Decliner (10.7%), Mid-High Maintainer (31.2%), and High Maintainer (39.4%); for EF, trajectories included Low Maintainer (3%), Mid-Low Improver (9%), Medium Decliner (7.7%), Mid-High Maintainer (22.8%), and High Maintainer (57.5%). Cross-classification of the groups of trajectories demonstrated that the impact of a high and stable EF on PSF might be greater than the reverse. Low depression symptoms, low pain, and high social support were the most consistent predictors of high EF trajectories. Conclusion: Aging women are heterogeneous in terms of positive aging indicators for up to 9 years of follow-up. Interventions aimed at promoting sustainable EF might have diffused effects on other domains of healthy aging.
Affiliations:
- Israël, États-Unis
- Californie, Iowa, Pennsylvanie, Tennessee, Washington (État), Wisconsin
- Iowa City, Pittsburgh, Seattle
- Université de Pittsburgh, Université de Washington, Université de l'Iowa
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Le document en format XML
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<term>Emotion émotivité</term>
<term>Modèle croissance</term>
<term>Etude longitudinale</term>
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<term>Femme</term>
<term>Personne âgée</term>
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<term>Femme</term>
<term>Personne âgée</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">Background: The purpose of this study was to describe the longitudinal trajectories and bidirectional relationships of the physical-social and emotional functioning (EF) dimensions of positive aging and to identify their baseline characteristics. Methods: Women age 65 and older who enrolled in one or more Women's Health Initiative clinical trials (WHI CTs) and who had positive aging indicators measured at baseline and years 1, 3, 6, and 9 were included in these analyses (N = 2281). Analytic strategies included latent class growth modeling to identify longitudinal trajectories and multinomial logistic regression to examine the effects of baseline predictors on these trajectories. Results: A five-trajectory model was chosen to best represent the data. For Physical-Social Functioning (PSF), trajectory groups included Low Maintainer (8.3%), Mid-Low Improver (10.4%), Medium Decliner (10.7%), Mid-High Maintainer (31.2%), and High Maintainer (39.4%); for EF, trajectories included Low Maintainer (3%), Mid-Low Improver (9%), Medium Decliner (7.7%), Mid-High Maintainer (22.8%), and High Maintainer (57.5%). Cross-classification of the groups of trajectories demonstrated that the impact of a high and stable EF on PSF might be greater than the reverse. Low depression symptoms, low pain, and high social support were the most consistent predictors of high EF trajectories. Conclusion: Aging women are heterogeneous in terms of positive aging indicators for up to 9 years of follow-up. Interventions aimed at promoting sustainable EF might have diffused effects on other domains of healthy aging.</div>
</front>
</TEI>
<affiliations><list><country><li>Israël</li>
<li>États-Unis</li>
</country>
<region><li>Californie</li>
<li>Iowa</li>
<li>Pennsylvanie</li>
<li>Tennessee</li>
<li>Washington (État)</li>
<li>Wisconsin</li>
</region>
<settlement><li>Iowa City</li>
<li>Pittsburgh</li>
<li>Seattle</li>
</settlement>
<orgName><li>Université de Pittsburgh</li>
<li>Université de Washington</li>
<li>Université de l'Iowa</li>
</orgName>
</list>
<tree><country name="Israël"><noRegion><name sortKey="Zaslavsky, Oleg" sort="Zaslavsky, Oleg" uniqKey="Zaslavsky O" first="Oleg" last="Zaslavsky">Oleg Zaslavsky</name>
</noRegion>
</country>
<country name="États-Unis"><region name="Washington (État)"><name sortKey="Cochrane, Barbara B" sort="Cochrane, Barbara B" uniqKey="Cochrane B" first="Barbara B." last="Cochrane">Barbara B. Cochrane</name>
</region>
<name sortKey="Cochrane, Barbara B" sort="Cochrane, Barbara B" uniqKey="Cochrane B" first="Barbara B." last="Cochrane">Barbara B. Cochrane</name>
<name sortKey="Goveas, Joseph S" sort="Goveas, Joseph S" uniqKey="Goveas J" first="Joseph S." last="Goveas">Joseph S. Goveas</name>
<name sortKey="Herting, Jerald R" sort="Herting, Jerald R" uniqKey="Herting J" first="Jerald R." last="Herting">Jerald R. Herting</name>
<name sortKey="Jingmin Liu" sort="Jingmin Liu" uniqKey="Jingmin Liu" last="Jingmin Liu">JINGMIN LIU</name>
<name sortKey="Johnson, Karen C" sort="Johnson, Karen C" uniqKey="Johnson K" first="Karen C." last="Johnson">Karen C. Johnson</name>
<name sortKey="Kuller, Lewis H" sort="Kuller, Lewis H" uniqKey="Kuller L" first="Lewis H." last="Kuller">Lewis H. Kuller</name>
<name sortKey="Lacroix, Andrea Z" sort="Lacroix, Andrea Z" uniqKey="Lacroix A" first="Andrea Z." last="Lacroix">Andrea Z. Lacroix</name>
<name sortKey="Martin, Lisa W" sort="Martin, Lisa W" uniqKey="Martin L" first="Lisa W." last="Martin">Lisa W. Martin</name>
<name sortKey="Michael, Yvonne L" sort="Michael, Yvonne L" uniqKey="Michael Y" first="Yvonne L." last="Michael">Yvonne L. Michael</name>
<name sortKey="Robinson, Jennifer G" sort="Robinson, Jennifer G" uniqKey="Robinson J" first="Jennifer G." last="Robinson">Jennifer G. Robinson</name>
<name sortKey="Stefanick, Marcia" sort="Stefanick, Marcia" uniqKey="Stefanick M" first="Marcia" last="Stefanick">Marcia Stefanick</name>
<name sortKey="Tinker, Lesley F" sort="Tinker, Lesley F" uniqKey="Tinker L" first="Lesley F." last="Tinker">Lesley F. Tinker</name>
<name sortKey="Woods, Nancy Fugate" sort="Woods, Nancy Fugate" uniqKey="Woods N" first="Nancy Fugate" last="Woods">Nancy Fugate Woods</name>
</country>
</tree>
</affiliations>
</record>
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