Oleg Zaslavsky1, Barbara B Cochrane2, Nancy Fugate Woods2, Andrea Z LaCroix3, Jingmin Liu3, Jerald R Herting4, Joseph S Goveas5, Karen C Johnson6, Lewis H Kuller7, Lisa W Martin8, Yvonne L Michael9, Jennifer G Robinson10, Marcia Stefanick11, Lesley F Tinker3. 1. Faculty of Health Science and Social Welfare,University of Haifa,Haifa,Israel. 2. School of Nursing,University of Washington,Seattle,Washington,USA. 3. Public Health Sciences,Fred Hutchinson Cancer Research Center,Seattle,Washington,USA. 4. Department of Sociology,University of Washington,Seattle,Washington,USA. 5. Department of Psychiatry and Behavioral Medicine,Medical College of Wisconsin,Milwaukee,Wisconsin,USA. 6. Department of Preventive Medicine,University of Tennessee Health Sciences Center,Memphis,Tennessee,USA. 7. Department of Epidemiology,Graduate School of Public Health,University of Pittsburgh,Pittsburgh,Pennsylvania,USA. 8. Division of Cardiology,George Washington University,Washington,District of Columbia,USA. 9. Department of Epidemiology and Biostatistics,School of Public Health,Drexel University,Philadelphia,Pennsylvania,USA. 10. Departments of Medicine and Epidemiology,University of Iowa,Iowa City,Iowa,USA. 11. Stanford Prevention Research Center,School of Medicine,Stanford University,Palo Alto,California,USA.
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.
RCT Entities:
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.
Authors: Joseph S Goveas; Stephen R Rapp; Patricia E Hogan; Ira Driscoll; Hilary A Tindle; J Carson Smith; Shelli R Kesler; Oleg Zaslavsky; Rebecca C Rossom; Judith K Ockene; Kristine Yaffe; JoAnn E Manson; Susan M Resnick; Mark A Espeland Journal: J Gerontol A Biol Sci Med Sci Date: 2016-03 Impact factor: 6.053
Authors: Nancy Fugate Woods; Eileen Rillamas-Sun; Barbara B Cochrane; Andrea Z La Croix; Teresa E Seeman; Hilary A Tindle; Oleg Zaslavsky; Chloe E Bird; Karen C Johnson; JoAnn E Manson; Judith K Ockene; Rebecca A Seguin; Robert B Wallace Journal: J Gerontol A Biol Sci Med Sci Date: 2016-03 Impact factor: 6.053
Authors: Beatriz Navarro-Bravo; José M Latorre; Ana Jiménez; Rosario Cabello; Pablo Fernández-Berrocal Journal: PeerJ Date: 2019-04-19 Impact factor: 2.984