» Articles » PMID: 31912990

Which One Came First: Movement Behavior or Frailty? A Cross-lagged Panel Model in the Toledo Study for Healthy Aging

Overview
Date 2020 Jan 9
PMID 31912990
Citations 5
Authors
Affiliations
Soon will be listed here.
Abstract

Background: There has been limited longitudinal assessment of the relationship between moderate-to-vigorous physical activity (MVPA) and sedentary behaviour (SB) with frailty, and no studies have explored the possibility of reverse causality. This study aimed to determine the potential bidirectionality of the relationship between accelerometer-assessed MVPA, SB, and frailty over time in older adults.

Methods: Participants were from the Toledo Study for Healthy Aging. We analysed 186 older people aged 67 to 90 (76.7 ± 3.9; 52.7% female participants) over a 4-year period. Time spent in SB and MVPA was assessed by accelerometry. Frailty Trait Scale was used to determine frailty levels. A cross-lagged panel model design was used to test the reciprocal relationships between MVPA/SB and frailty.

Results: Frailty Trait Scale score changed from 35.4 to 43.8 points between the two times (P < 0.05). We also found a reduction of 7 min/day in the time spent on MVPA (P < 0.05), and participants tended to spend more time on SB (P = 0.076). Our analyses revealed that lower levels of initial MVPA predicted higher levels of later frailty [std. β = -0.126; confidence interval (CI) = -0.231, -0.021; P < 0.05], whereas initial spent time on SB did not predict later frailty (std. β = -0.049; CI = -0.185, 0.087; P = 0.48). Conversely, an initial increased frailty status predicted higher levels of later SB (std. β = 0.167; CI = 0.026, 0.307; P < 0.05) but not those of MVPA (std. β = 0.071; CI = -0.033, 0.175; P = 0.18).

Conclusions: Our observations suggest that the relationship between MVPA/SB and frailty is unidirectional: individuals who spent less time on MVPA at baseline are more likely to increase their frailty score, and individuals who are more frail are more likely to spent more time on SB at follow-up. Interventions and policies should aim to increase MVPA levels from earlier stages to promote successful aging.

Citing Articles

Examining the independent and interactive association of physical activity and sedentary behaviour with frailty in Chinese community-dwelling older adults.

Li N, Huang F, Li H, Lin S, Yuan Y, Zhu P BMC Public Health. 2022; 22(1):1414.

PMID: 35879692 PMC: 9313602. DOI: 10.1186/s12889-022-13842-1.


Association of socioeconomic status measures with physical activity and subsequent frailty in older adults.

Kheifets M, Goshen A, Goldbourt U, Witberg G, Eisen A, Kornowski R BMC Geriatr. 2022; 22(1):439.

PMID: 35590281 PMC: 9118657. DOI: 10.1186/s12877-022-03108-1.


Association of Health Literacy with the Implementation of Exercise during the Declaration of COVID-19 State of Emergency among Japanese Community-Dwelling Old-Old Adults.

Shiratsuchi D, Makizako H, Nakai Y, Taniguchi Y, Akanuma T, Yokoyama K Int J Environ Res Public Health. 2021; 18(4).

PMID: 33670041 PMC: 7926347. DOI: 10.3390/ijerph18042100.


Relationship between Physical Performance and Frailty Syndrome in Older Adults: The Mediating Role of Physical Activity, Sedentary Time and Body Composition.

Rodriguez-Gomez I, Manas A, Losa-Reyna J, Alegre L, Rodriguez-Manas L, Garcia-Garcia F Int J Environ Res Public Health. 2021; 18(1).

PMID: 33383967 PMC: 7794741. DOI: 10.3390/ijerph18010203.


Which one came first: movement behavior or frailty? A cross-lagged panel model in the Toledo Study for Healthy Aging.

Manas A, Del Pozo-Cruz B, Rodriguez-Gomez I, Losa-Reyna J, Rodriguez-Manas L, Garcia-Garcia F J Cachexia Sarcopenia Muscle. 2020; 11(2):415-423.

PMID: 31912990 PMC: 7113532. DOI: 10.1002/jcsm.12511.

References
1.
Clegg A, Young J, Iliffe S, Rikkert M, Rockwood K . Frailty in elderly people. Lancet. 2013; 381(9868):752-62. PMC: 4098658. DOI: 10.1016/S0140-6736(12)62167-9. View

2.
Stenholm S, Strandberg T, Pitkala K, Sainio P, Heliovaara M, Koskinen S . Midlife obesity and risk of frailty in old age during a 22-year follow-up in men and women: the Mini-Finland Follow-up Survey. J Gerontol A Biol Sci Med Sci. 2013; 69(1):73-8. DOI: 10.1093/gerona/glt052. View

3.
Calvani R, Marini F, Cesari M, Tosato M, Anker S, von Haehling S . Biomarkers for physical frailty and sarcopenia: state of the science and future developments. J Cachexia Sarcopenia Muscle. 2015; 6(4):278-86. PMC: 4670735. DOI: 10.1002/jcsm.12051. View

4.
Vermeiren S, Vella-Azzopardi R, Beckwee D, Habbig A, Scafoglieri A, Jansen B . Frailty and the Prediction of Negative Health Outcomes: A Meta-Analysis. J Am Med Dir Assoc. 2016; 17(12):1163.e1-1163.e17. DOI: 10.1016/j.jamda.2016.09.010. View

5.
Kim Y, White T, Wijndaele K, Sharp S, Wareham N, Brage S . Adiposity and grip strength as long-term predictors of objectively measured physical activity in 93 015 adults: the UK Biobank study. Int J Obes (Lond). 2017; 41(9):1361-1368. PMC: 5578433. DOI: 10.1038/ijo.2017.122. View