PMID- 36131230 OWN - NLM STAT- MEDLINE DCOM- 20220923 LR - 20230324 IS - 1471-2318 (Electronic) IS - 1471-2318 (Linking) VI - 22 IP - 1 DP - 2022 Sep 21 TI - Prediction of physical functioning and general health status trajectories on mortality among persons with cognitive impairment. PG - 766 LID - 10.1186/s12877-022-03446-0 [doi] LID - 766 AB - BACKGROUND: The concern posed by the confluence of aging and cognitive impairment is growing in importance as the U.S. population rapidly ages. As such, we sought to examine the predictive power of physical functioning (PF) and general health status (GHS) trajectories on mortality outcomes among persons with cognitive impairment (PCIs). METHODS: We used group-based trajectory models to identify latent group memberships for PF trajectories in 1,641 PCIs and GHS trajectories in 2,021 PCIs from the National Health and Aging Trends Survey (2011-2018) and applied logistic regressions to predict mortality using these memberships controlling for individual characteristics. RESULTS: We identified six trajectory groups for PF and four groups for GHS. Trajectory group memberships for both outcomes significantly predicted mortality. For PF, group memberships largely captured the average levels over time, and worse trajectories (i.e., lower baselines and faster declines) were associated with higher odds of death. The highest mortality risk was associated with the group experiencing a sharp decline early in its PF trajectory, although its average level across time was not the lowest. For GHS, we observed two groups with comparable average levels across time, but the one with a convex-shape trajectory had much higher mortality risks compared to the one with a concave-shape trajectory. CONCLUSIONS: Our findings highlighted that health trajectories predicted mortality among PCIs, not only because of general levels but also because of the shapes of declines. Close monitoring health deterioration of PCIs is crucial to understand the health burden of this population and to make subsequent actions. CI - (c) 2022. The Author(s). FAU - Zang, Emma AU - Zang E AD - Department of Sociology, Yale University, New Haven, CT, 06520, USA. emma.zang@yale.edu. AD - Department of Biostatistics, Yale University, New Haven, CT, 06520, USA. emma.zang@yale.edu. FAU - Wang, Xueqing AU - Wang X AD - Office of Population Research, Princeton University, Princeton, NJ, 08540, USA. AD - School of Public and International Affairs, Princeton University, Princeton, NJ, 08540, USA. FAU - Shi, Yu AU - Shi Y AD - Department of Biostatistics, Yale University, New Haven, CT, 06520, USA. FAU - Wu, Bei AU - Wu B AD - Rory Meyers College of Nursing, New York University, New York, NY, 10010, USA. FAU - Fried, Terri R AU - Fried TR AD - Veterans Affairs Connecticut Healthcare System, West Haven, CT, 06516, USA. AD - Department of Medicine, Yale School of Medicine, New Haven, CT, 06520, USA. LA - eng GR - UL1 TR001863/TR/NCATS NIH HHS/United States GR - R56 AG067619/AG/NIA NIH HHS/United States GR - P30 AG021342/AG/NIA NIH HHS/United States GR - R21 AG074238/AG/NIA NIH HHS/United States PT - Journal Article PT - Research Support, N.I.H., Extramural DEP - 20220921 PL - England TA - BMC Geriatr JT - BMC geriatrics JID - 100968548 SB - IM MH - Aging/psychology MH - *Cognitive Dysfunction/diagnosis MH - *Health Status MH - Humans MH - Logistic Models MH - Longitudinal Studies MH - Surveys and Questionnaires PMC - PMC9494770 OTO - NOTNLM OT - Cognitive aging OT - Health trajectory OT - Mortality OT - Physical functioning COIS- The authors declare that they have no competing interests. EDAT- 2022/09/22 06:00 MHDA- 2022/09/24 06:00 PMCR- 2022/09/21 CRDT- 2022/09/21 23:36 PHST- 2022/05/09 00:00 [received] PHST- 2022/09/07 00:00 [accepted] PHST- 2022/09/21 23:36 [entrez] PHST- 2022/09/22 06:00 [pubmed] PHST- 2022/09/24 06:00 [medline] PHST- 2022/09/21 00:00 [pmc-release] AID - 10.1186/s12877-022-03446-0 [pii] AID - 3446 [pii] AID - 10.1186/s12877-022-03446-0 [doi] PST - epublish SO - BMC Geriatr. 2022 Sep 21;22(1):766. doi: 10.1186/s12877-022-03446-0.