Clinical-Functional Vulnerability, Functional Capacity, and Falls in Octogenarians with Different Physical Activity Levels—A Cross-Sectional Study
Abstract
:1. Introduction
2. Methods
3. Results
4. Discussion
5. Study Limitations
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Zhang, P.D.; Lv, Y.B.; Li, Z.H.; Yin, Z.X.; Li, F.R.; Wang, J.N.; Zhang, X.R.; Zhou, J.H.; Wu, X.B.; Duan, J.; et al. Age, period, and cohort effects on activities of daily living, physical performance, and cognitive functioning impairment among the oldest-old in China. J. Gerontol. Ser. A Biol. Sci. Med. Sci. 2020, 75, 1214–1221. [Google Scholar] [CrossRef] [PubMed]
- Morley, J.E.; Vellas, B.; Van Kan, G.A.; Ankler, S.; Bauer, J.M.; Bernabei, R.; Cesari, M.; Chumlea, W.C.; Doehner, W.; Evans, J.; et al. Frailty Consensus: A Call to Action. J. Am. Med. Dir. Assoc. 2013, 14, 392–397. [Google Scholar] [CrossRef] [PubMed]
- Moreira, N.B.; Bento, P.C.B.; Vieira, E.R.; da Silva, J.L.P.; Rodacki, A.L.F. Comparison between the Clinical-Functional Vulnerability and the Frailty Phenotype to Identify Falls in Elderly: A Cross-Sectional Study. Ann. Phys. Rehabil. Med. 2022; in press. [Google Scholar]
- Landi, F.; Abbatecola, A.M.; Provinciali, M.; Corsonello, A.; Bustacchini, S.; Manigrasso, L.; Cherubini, A.; Bernabei, R.; Lattanzio, F. Moving against frailty: Does physical activity matter? Biogerontology 2010, 11, 537–545. [Google Scholar] [CrossRef]
- Berkemeyer, K.; Wijndaele, K.; White, T.; Cooper, A.J.M.; Luben, R.; Westgate, K.; Griffin, S.J.; Khaw, K.T.; Wareham, N.J.; Brage, S. The descriptive epidemiology of accelerometer-measured physical activity in older adults. Int. J. Behav. Nutr. Phys. Act. 2016, 13, 2. [Google Scholar] [CrossRef]
- Moreira, N.B.; Rodacki, A.L.F.; Pereira, G.; Bento, P.C.B. Does functional capacity, fall risk awareness and physical activity level predict falls in older adults in different age groups? Arch. Gerontol. Geriatr. 2018, 77, 57–63. [Google Scholar] [CrossRef]
- Franceschi, C.; Garagnani, P.; Morsiani, C.; Conte, M.; Santoro, A.; Grignolio, A.; Monti, D.; Capri, M.; Salvioli, S. The continuum of aging and age-related diseases: Common mechanisms but different rates. Front. Med. 2018, 5, 61. [Google Scholar] [CrossRef]
- Ramsey, K.A.; Rojer, A.G.M.; D’Andrea, L.; Otten, R.H.J.; Heymans, M.W.; Trappenburg, M.C.; Verlaan, S.; Whittaker, A.C.; Meskers, C.G.M.; Maier, A.B. The association of objectively measured physical activity and sedentary behavior with skeletal muscle strength and muscle power in older adults: A systematic review and meta-analysis. Ageing Res. Rev. 2021, 67, 101266. [Google Scholar] [CrossRef]
- Lustosa, L.P.; Pereira, D.S.; Dias, R.C.; Britto, R.R.; Parentoni, A.N.; Souza, L.; Pereira, M. Tradução e adaptação transcultural do Minnesota Leisure Time Activities Questionnaire em idosos. Geriatr. Gerontol. 2011, 5, 57–65. [Google Scholar]
- Chodzko-Zajko, W.J.; Proctor, D.N.; Fiatarone Singh, M.A.; Minson, C.T.; Nigg, C.R.; Salem, G.J.; Skinner, J.S. Exercise and physical activity for older adults. Med. Sci. Sports Exerc. 2009, 41, 1510–1530. [Google Scholar] [CrossRef]
- de Moraes, E.N.; do Carmo, J.A.; de Moraes, F.L.; Azevedo, R.S.; Machado, C.J.; Montilla, D.E.R. Clinical-Functional Vulnerability Index-20 (IVCF-20): Rapid recognition of frail older adults. Rev. Saude Publica 2016, 50, 81. [Google Scholar] [CrossRef] [PubMed]
- Moreira, B.; Bento, P.C.B.; Vieira, E.R.; Silva, L.P.; Rodacki, A.L.F. Association between Domains of the Clinical-Functional Vulnerability Index and Falls History in Older Adults: A Cross-Sectional Study. Int. J. Environ. Res. Public Health 2022, 19, 7949. [Google Scholar] [CrossRef] [PubMed]
- Sato, S.; Takeda, N.; Yamada, T.; Nakamura, M.; Nemoto, Y.; Maruo, K.; Fukuda, Y.; Sawada, S.S.; Kitabatake, Y.; Arao, T. Physical activity and/or sedentary behaviour and the development of functional disability in community-dwelling older adults in Tsuru, Japan: A prospective cohort study (the Tsuru Longitudinal Study). BMJ Open 2022, 12, e056642. [Google Scholar] [CrossRef] [PubMed]
- Hortobágyi, T.; Mizelle, C.; Beam, S.; DeVita, P. Old adults perform activities of daily living near their maximal capabilities. J. Gerontol. Ser. A Biol. Sci. Med. Sci. 2003, 58, 453–460. [Google Scholar] [CrossRef]
- Zhou, J.; Liu, B.; Qin, M.Z.; Liu, J.P. A prospective cohort study of the risk factors for new falls and fragility fractures in self-caring elderly patients aged 80 years and over. BMC Geriatr. 2021, 21, 116. [Google Scholar] [CrossRef]
- Barry, E.; Galvin, R.; Keogh, C.; Horgan, F.; Fahey, T. Is the Timed Up and Go test a useful predictor of risk of falls in community dwelling older adults: A systematic review and meta- analysis. BMC Geriatr. 2014, 14, 14. [Google Scholar] [CrossRef]
- Bouatois, S. Five Times Sit to Stand Test Is a Predictor of recurrent Falls in Healthy Community Living Subjects aged 65 and Older. J. Am. Geriatr. Soc. 2008, 56, 1575–1577. [Google Scholar] [CrossRef]
- Thorbahn, L.D.; Newton, R.A. Use of the Berg balance test to predict falls in elderly persons. Phys. Ther. 1996, 76, 576–585. [Google Scholar] [CrossRef]
- Dionyssiotis, Y. Analyzing the problem of falls among older people. Int. J. Gen. Med. 2012, 5, 805–813. [Google Scholar] [CrossRef]
- Fujiwara, K.; Toyama, H.; Asai, H.; Maeda, K.; Yaguchi, C. Regular heel-raise training focused on the soleus for the elderly: Evaluation of muscle thickness by ultrasound. J. Physiol. Anthropol. 2010, 29, 23–28. [Google Scholar] [CrossRef]
- MacLean, M.K.; Ferris, D.P. Human muscle activity and lower limb biomechanics of overground walking at varying levels of simulated reduced gravity and gait speeds. PLoS ONE 2021, 16, e0253467. [Google Scholar] [CrossRef] [PubMed]
- Kaneda, K. The features of muscle activity during chair standing and sitting motion in submerged condition. PLoS ONE 2019, 14, e0220602. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Rodacki, A.L.F.; Moreira, N.B.; Pitta, A.; Wolf, R.; Filho, J.M.; Rodacki, C.d.L.N.; Pereira, G. Is handgrip strength a useful measure to evaluate lower limb strength and functional performance in older women? Clin. Interv. Aging 2020, 15, 1045–1056. [Google Scholar] [CrossRef]
- Lin, Y.H.; Chen, Y.C.; Tseng, Y.C.; Tsai, S.T.; Tseng, Y.H. Physical activity and successful aging among middle-aged and older adults: A systematic review and meta-analysis of cohort studies. Aging 2020, 12, 7704–7716. [Google Scholar] [CrossRef] [PubMed]
- Ferretti, F.; Macagnan, D.; Canei, F.C.; da Silva, M.R.; dos Santos, M.P.M. Physical activity level among older adults over 70 years old and very old adults. Fisioter. Mov. 2020, 33, 1–2. [Google Scholar] [CrossRef]
- Patti, A.; Zangla, D.; Sahin, F.N.; Cataldi, S.; Lavanco, G.; Palma, A.; Fischietti, F. Physical exercise and prevention of falls. Effects of a Pilates training method compared with a general physical activity program A randomized controlled trial. Medicine 2021, 100, e25289. [Google Scholar] [CrossRef] [PubMed]
- World Health Organization. WHO Guidelines on Physical Activity and Sedentary Behaviour; World Health Organization: Geneva, Switzerland, 2020; ISBN 9781134470006. [Google Scholar]
- Izquierdo, M.; Merchant, R.A.; Morley, J.E.; Anker, S.D.; Aprahamian, I.; Arai, H.; Aubertin-Leheudre, M.; Bernabei, R.; Cadore, E.L.; Cesari, M.; et al. International Exercise Recommendations in Older Adults (ICFSR): Expert Consensus Guidelines. J. Nutr. Health Aging 2021, 25, 824–853. [Google Scholar] [CrossRef] [PubMed]
- Visser, D.; Wattel, E.M.; Gerrits, K.H.L.; van der Wouden, J.C.; Meiland, F.J.M.; de Groot, A.J.; Jansma, E.P.; Hertogh, C.M.P.M.; Smit, E.B. Effectiveness and characteristics of physical fitness training on aerobic fitness in vulnerable older adults: An umbrella review of systematic reviews. BMJ Open 2022, 12, e058056. [Google Scholar] [CrossRef]
Characteristics | ALL (n = 239) Mean ± SD | IAG (n = 98) Mean ± SD | AG (n = 81) Mean ± SD | VAG (n = 60) Mean ± SD | p Value |
---|---|---|---|---|---|
n (%) | n (%) | n (%) | n (%) | n (%) | |
Education level | 0.498 | ||||
Illiterate | 29 (12.1) | 12 (12.2) | 12 (14.8) | 5 (8.3) | |
1–8 years | 158 (66.1) | 66 (67.3) | 51 (63.0) | 41 (68.3) | |
>8 years | 24 (10.0) | 11 (11.2) | 5 (6.2) | 8 (13.4) | |
Higher education | 28 (11.8) | 9 (9.3) | 13 (16.0) | 6 (10.0) | |
Marital status | 0.724 | ||||
Married | 58 (24.3) | 26 (26.5) | 17 (21.0) | 15 (25.0) | |
Divorced | 8 (3.3) | 2 (2.0) | 3 (3.7) | 3 (5.0) | |
Single | 17 (7.1) | 9 (9.2) | 6 (7.4) | 2 (3.3) | |
Widowed | 156 (65.3) | 61 (62.2) | 55 (67.9) | 40 (66.7) |
Characteristics | ALL (n = 239) Mean ± SD | IAG (n = 98) Mean ± SD | AG (n = 81) Mean ± SD | VAG (n = 60) Mean ± SD | p Value |
---|---|---|---|---|---|
Age (years) | 84 ± 3 | 84 ± 4 | 84 ± 3 | 84 ± 3 | 0.658 |
BMI (kg m−2) | 26 ± 4 | 26 ± 4 | 27 ± 4 | 26 ± 3 | 0.343 |
PA (min week−1) | 209 ± 157 | 69 ± 44 b,c | 221 ± 46 a,c | 421 ± 124 a,b | <0.001 |
5STS (s) | 13.97 ± 5.03 | 15.63 ± 5.16 b,c | 13.01 ± 4.55 | 12.56 ± 4.72 | <0.001 |
TUG (s) | 12.23 ± 5.09 | 13.55 ± 5.72 b,c | 11.47 ± 4.00 | 11.11 ± 4.91 | 0.002 |
BBS (points) | 48.61 ± 7.68 | 46.72 ± 8.25 c | 49.12 ± 7.11 | 51.00 ± 6.71 | 0.001 |
HGS (kgf) | 20.58 ± 6.98 | 20.26 ± 7.31 | 20.65 ± 5.87 | 21.00 ± 7.86 | 0.843 |
Gender | n (%) | n (%) | n (%) | n (%) | |
Female | 176 (73.6) | 70 (39.8) | 59 (33.5) | 47 (26.7) | 0.620 |
Male | 63 (26.4) | 28 (44.4) | 22 (34.9) | 13 (20.6) | |
Falls | |||||
Yes | 110 (46.0) | 67 (68.4) b,c | 29 (35.8) | 14 (23.3) | <0.001 |
No | 129 (54.0) | 31 (31.6) b,c | 52 (64.2) | 46 (76.7) | |
Frailty Vulnerability (CFVI-20) | |||||
Low vulnerability | 67 (28.0) | 17 (17.3) b,c | 30 (37.0) | 20 (33.3) | 0.001 |
Moderate vulnerability | 98 (41.0) | 37 (37.8) | 31 (38.3) | 30 (50.0) | |
High vulnerability | 74 (31.0) | 44 (44.9) b,c | 20 (24.7) | 10 (16.7) |
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da Silva, L.P.; Moreira, N.B.; Grando, R.Z.; Bento, P.C.B.; Rodacki, A.L.F. Clinical-Functional Vulnerability, Functional Capacity, and Falls in Octogenarians with Different Physical Activity Levels—A Cross-Sectional Study. Int. J. Environ. Res. Public Health 2022, 19, 11909. https://doi.org/10.3390/ijerph191911909
da Silva LP, Moreira NB, Grando RZ, Bento PCB, Rodacki ALF. Clinical-Functional Vulnerability, Functional Capacity, and Falls in Octogenarians with Different Physical Activity Levels—A Cross-Sectional Study. International Journal of Environmental Research and Public Health. 2022; 19(19):11909. https://doi.org/10.3390/ijerph191911909
Chicago/Turabian Styleda Silva, Letícia Pophal, Natália Boneti Moreira, Renata Zacharias Grando, Paulo César Baraúce Bento, and André Luiz Felix Rodacki. 2022. "Clinical-Functional Vulnerability, Functional Capacity, and Falls in Octogenarians with Different Physical Activity Levels—A Cross-Sectional Study" International Journal of Environmental Research and Public Health 19, no. 19: 11909. https://doi.org/10.3390/ijerph191911909