PMID- 38366153
OWN - NLM
STAT- Publisher
LR  - 20240217
IS  - 1758-535X (Electronic)
IS  - 1079-5006 (Linking)
DP  - 2024 Feb 15
TI  - Investigating resilience through intrinsic capacity networks in older adults.
LID - glae048 [pii]
LID - 10.1093/gerona/glae048 [doi]
AB  - BACKGROUND: The network approach may provide a framework for understanding 
      intrinsic capacity (IC) as a system underlying functioning. The system's 
      resilience to resist functional decline may arise from the interrelationships 
      among system components, i.e., body functions or capacities. We applied network 
      analysis to investigate whether the interplay between different intrinsic 
      capacities differs according to age and self-rated health (SRH) in older adults. 
      METHODS: The study sample consisted of a population-based cohort of 
      community-dwelling older adults aged 75, 80, and 85 years (men n=356 and women 
      n=469). We quantified five IC domains: vitality, locomotion, cognition, 
      psychology, and sensory, using performance-based measurements and questionnaires, 
      and estimated IC networks for two age (75- vs. 80- and 85-years) and SRH (higher 
      vs. lower) groups separately for sexes. Differences in global network properties 
      (e.g., density, overall connectivity) and centrality indices were compared 
      between the groups. RESULTS: IC network density (i.e., the number of edges) was 
      higher in the 80- and 85-olds compared to the 75-year-olds, and in the worse 
      compared to the better SRH group in both sexes. However, the differences in edge 
      weights and global strength of the networks were statistically non-significant. 
      Walking speed was the most central node in the estimated networks. CONCLUSIONS: 
      With increasing age and health decline, the IC network seems to become more 
      denser, which may indicate a loss of system resilience. Walking is a more complex 
      activity than the others requiring the functioning of many subsystems, which may 
      explain why it connects multiple domains in the IC network.
CI  - (c) The Author(s) 2024. Published by Oxford University Press on behalf of The 
      Gerontological Society of America. All rights reserved. For permissions, please 
      e-mail: journals.permissions@oup.com.
FAU - Koivunen, Kaisa
AU  - Koivunen K
AUID- ORCID: 0000-0002-0710-0069
AD  - Faculty of Sport and Health Sciences and Gerontology Research Center, University 
      of Jyvaskyla, Jyvaskyla, Finland.
FAU - Lindeman, Katja
AU  - Lindeman K
AUID- ORCID: 0000-0002-0863-3916
AD  - Faculty of Sport and Health Sciences and Gerontology Research Center, University 
      of Jyvaskyla, Jyvaskyla, Finland.
FAU - Valimaa, Maija
AU  - Valimaa M
AD  - Faculty of Sport and Health Sciences and Gerontology Research Center, University 
      of Jyvaskyla, Jyvaskyla, Finland.
FAU - Rantanen, Taina
AU  - Rantanen T
AUID- ORCID: 0000-0002-1604-1945
AD  - Faculty of Sport and Health Sciences and Gerontology Research Center, University 
      of Jyvaskyla, Jyvaskyla, Finland.
LA  - eng
PT  - Journal Article
DEP - 20240215
PL  - United States
TA  - J Gerontol A Biol Sci Med Sci
JT  - The journals of gerontology. Series A, Biological sciences and medical sciences
JID - 9502837
SB  - IM
OTO - NOTNLM
OT  - Complex systems approach
OT  - Emergent property
OT  - Functional reserves
OT  - Healthy aging
EDAT- 2024/02/17 12:44
MHDA- 2024/02/17 12:44
CRDT- 2024/02/17 00:06
PHST- 2023/11/26 00:00 [received]
PHST- 2024/02/17 12:44 [medline]
PHST- 2024/02/17 12:44 [pubmed]
PHST- 2024/02/17 00:06 [entrez]
AID - 7608622 [pii]
AID - 10.1093/gerona/glae048 [doi]
PST - aheadofprint
SO  - J Gerontol A Biol Sci Med Sci. 2024 Feb 15:glae048. doi: 10.1093/gerona/glae048.