Weakness Thresholds Are Differentially Linked to Cognitive Function by Obesity Status in Older Americans.

Aging Alzheimer’s disease body composition body mass index cognition dementia functional status geriatrics muscle strength muscle strength dynamometer

Journal

Journal of Alzheimer's disease reports
ISSN: 2542-4823
Titre abrégé: J Alzheimers Dis Rep
Pays: Netherlands
ID NLM: 101705500

Informations de publication

Date de publication:
2024
Historique:
received: 16 12 2023
accepted: 10 03 2024
medline: 15 5 2024
pubmed: 15 5 2024
entrez: 15 5 2024
Statut: epublish

Résumé

Weakness can be operationalized with several thresholds, which in turn, could impact associations with cognitive impairment when considering obesity status. We examined the associations of absolute, normalized, and collective weakness thresholds on future cognitive impairment by obesity status in older adults. We performed a secondary data analysis on the 2006-2018 waves of the Health and Retirement Study. A spring-type dynamometer collected handgrip strength (HGS). Males were categorized weak if their HGS was <35.5-kg (absolute), <0.45-kg/kg (body mass normalized), or <1.05-kg/kg/m We included 7,532 and 3,584 persons aged ≥65-years living without and with obesity, respectively. Those without obesity but beneath the absolute weakness threshold had 1.54 (95% confidence interval (CI): 1.24-1.91) greater odds for future cognitive impairment. Persons with obesity and beneath each threshold also had greater odds for future cognitive impairment: 1.89 (95% CI: 1.28-2.78) for absolute, 2.17 (95% CI: 1.02-4.62) for body mass normalized, and 1.75 (95% CI: 1.10-2.80) for BMI normalized. Older Americans without obesity but underneath all the weakness thresholds had 1.32 (95% CI: 1.00-1.74) greater odds for impairment in cognitive function, while persons with obesity had 2.76 (95% CI: 1.29-5.93) greater odds. There should be consideration for how body size and different weakness thresholds may influence future cognitive outcomes.

Sections du résumé

Background UNASSIGNED
Weakness can be operationalized with several thresholds, which in turn, could impact associations with cognitive impairment when considering obesity status.
Objective UNASSIGNED
We examined the associations of absolute, normalized, and collective weakness thresholds on future cognitive impairment by obesity status in older adults.
Methods UNASSIGNED
We performed a secondary data analysis on the 2006-2018 waves of the Health and Retirement Study. A spring-type dynamometer collected handgrip strength (HGS). Males were categorized weak if their HGS was <35.5-kg (absolute), <0.45-kg/kg (body mass normalized), or <1.05-kg/kg/m
Results UNASSIGNED
We included 7,532 and 3,584 persons aged ≥65-years living without and with obesity, respectively. Those without obesity but beneath the absolute weakness threshold had 1.54 (95% confidence interval (CI): 1.24-1.91) greater odds for future cognitive impairment. Persons with obesity and beneath each threshold also had greater odds for future cognitive impairment: 1.89 (95% CI: 1.28-2.78) for absolute, 2.17 (95% CI: 1.02-4.62) for body mass normalized, and 1.75 (95% CI: 1.10-2.80) for BMI normalized. Older Americans without obesity but underneath all the weakness thresholds had 1.32 (95% CI: 1.00-1.74) greater odds for impairment in cognitive function, while persons with obesity had 2.76 (95% CI: 1.29-5.93) greater odds.
Conclusions UNASSIGNED
There should be consideration for how body size and different weakness thresholds may influence future cognitive outcomes.

Identifiants

DOI: 10.3233/ADR-230190 PMID: 38746635 PMC: PMC11091748
pubmed: 38746635
doi: 10.3233/ADR-230190
pii: ADR230190
pmc: PMC11091748
doi:

Types de publication

Journal Article

Langues

eng

Pagination

601-608

Informations de copyright

© 2024 – The authors. Published by IOS Press.

Déclaration de conflit d'intérêts

The authors have no conflict of interest to report.

Auteurs

Joshua Batesole (J)

Healthy Aging North Dakota, North Dakota State University, Fargo, ND, USA.
Department of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND, USA.

Grant R Tomkinson (GR)

Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, Australia.

Kirk I Erickson (KI)

Neuroscience, AdventHealth Research Institute, Orlando, FL, USA.
Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA.

Donald Jurivich (D)

Department of Geriatrics, University of North Dakota, Grand Forks, ND, USA.

Justin J Lang (JJ)

Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, Australia.
Centre for Surveillance and Applied Research, Public Health Agency of Canada, Ottawa, ON, Canada.
School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada.

Brenda M McGrath (BM)

OCHIN Inc., Portland, OR, USA.

Sheria G Robinson-Lane (SG)

School of Nursing, University of Michigan, Ann Arbor, MI, USA.

Ashleigh E Smith (AE)

Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, Australia.

Ryan McGrath (R)

Healthy Aging North Dakota, North Dakota State University, Fargo, ND, USA.
Department of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND, USA.
Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, Australia.
Department of Geriatrics, University of North Dakota, Grand Forks, ND, USA.
Fargo VA Healthcare System, Fargo, ND, USA.

Classifications MeSH