The association between light intensity physical activity with gait speed in older adults (≥ 50 years). A longitudinal analysis using the English Longitudinal Study of Ageing (ELSA)
Fall prevention is an important health consideration for older adults. The benefits of moderate-to-vigorous intensity physical activity (MVPA) for fall prevention are well established. Few studies have explored the association between low intensity physical activity (LPA) and fall risk in older adults over time.
Six waves of data from the English Longitudinal Study of Ageing (ELSA) were analysed. The measures of physical activity (PA) intensity were developed using latent class analysis (LCA). Then, the association between PA intensity and gait speed was analysed using a latent growth model (LGM).
Latent class analysis identified three classes of PA—inactive, low intensity, and moderate-vigorous intensity PA. LGM analysis showed that MVPA (Est 1.12, SE 0.05) was associated with a faster gait speed and slower rate of decline over time. LPA (Est 0.96; SE 0.12) was more beneficial than being inactive. Age was found to influence gait speed where MVPA was associated with better gait speed in adults aged ≤ 70 years, and LPA was associated with better gait speed for adults aged ≥ 70 years.
Moderate-to-vigorous intensity physical activity maybe more beneficial for older adults and current policy supports this. However, LPA is associated with better gait speed in older adults aged ≥ 70 years and also maybe more achievable for older adults.
Therefore, future fall prevention interventions should also include recommendations for LPA for old-older adults (≥ 70 years).
KeywordsLow intensity Longitudinal analysis Physical activity Balance
This research was supported by the Department of Education and Learning, Northern Ireland awarded to Ilona I. McMullan.
Compliance to ethical standards
Conflict of interest
The authors declare that they have no conflict of interest.
London Multi-Centre Research Ethics Committee granted ethical approval for the ELSA study. Ethical approval for analysis of the ELSA data was provided by Ulster University Filter Committee.
Statement of human and animal rights
This article does not contain any studies with human participants or animals performed by any of the authors.
ELSA participants provided written informed consent.
- 1.Worldwide Health Organisation (WHO). (2015). World Report on ageing and health. https://apps.who.int/iris/bitstream/10665/186463/1/9789240694811-eng.pdf?ua=. Accessed 2 Nov 2015
- 2.Public Health England (PHE). (2018). Muscle and bone strengthening and balance activities for general health benefits in adults and older adults. https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/721874/MBSA_evidence_review.pdf. Accessed 24 Jul 2018
- 3.Worldwide Health Organisation (WHO). (2007). WHO Global report on falls prevention in older age. https://www.who.int/ageing/publications/Falls_prevention7March.pdf. Accessed 27 Sep 2015
- 4.Chartered Society of Physiotherapy (CSP) (2018). Get up and go: a guide to staying steady. https://www.csp.org.uk/publications/get-go-guide-staying-steady. Accessed 6 Jun 2018
- 5.Department of Health (DoH) (2011) Start active, stay active: a report on physical activity from the four home countries’ Chief Medical Officers. https://www.gov.uk/government/publications/start-active-stay-active-a-report-on-physical-activity-from-the-four-home-countries-chief-medical-officers. Accessed 7 Jun 2018
- 6.National Institute for Health and Care Excellence (NICE) (2015) Process and methods guide: Developing NICE guidelines: the manual appendices A-I. https://www.nice.org.uk/media/default/About/what-we-do/NICE-guidance/NICE-guidelines/developing-NICE-guidelines-the-manual.pdf. Accessed 21 Apr 2016
- 7.Public Health England (PHE) (2017) Falls: applying all our health. https://www.gov.uk/government/publications/falls-applying-all-our-health/falls-applying-all-our-health. Accessed 7 Jun 2018
- 8.Royal College of Physicians (RCP) (2015) National audit of inpatient falls; audit report. https://www.rcplondon.ac.uk/projects/outputs/naif-audit-report-2015. Accessed 6 Jun 2018
- 9.Worldwide Health Organisation. (2010). Global recommendations on physical activity for health. https://www.who.int/dietphysicalactivity/factsheet_recommendations/en/. Accessed 20 Jun 2017
- 10.Worldwide Health Organisation (WHO) (2018) Falls. https://www.int.news-room/fact-sheets/detail/falls. Accessed 6 Jun 2018
- 14.Demakakos P, Hamer M, Stamatakis E et al (2010) Low-intensity physical activity is associated with reduced risk of incident type 2 diabetes in older adults: evidence from the English Longitudinal Study of Ageing. Diabetologia 53:1877–1885. https://doi.org/10.1007/s00125-010-1785-x CrossRefPubMedGoogle Scholar
- 18.National Institute for Health and Care Excellence (NICE) (2013) Falls in older people: assessing risk and prevention. Clinical guidance CG161. https://www.nice.org.uk/guidance/cg161/chapter/Introduction. Accessed 6 Jun 2018
- 36.Idland G, Pettersen R, Avlund K et al (2013) Physical performance as long-term predictor of onset of activities of daily living (ADL) disability: a 9-year longitudinal study among community-dwelling older women. Arch Gerontol Geriatr 56:501–506. https://doi.org/10.1016/j.archger.2012.12.005 CrossRefPubMedGoogle Scholar
- 37.Vandekerckhove J, Matzke ID, Wagenmakers E (2015) Model comparison and the principle of parsimony. In: Busemeyer JR, Wang Z, Townsend JT, Eidels A (eds) The Oxford handbook of computational and mathematical psychology. The Oxford Press, Oxford, pp 1–29. https://doi.org/10.1093/oxfordhb/9780199957996.013.14
- 45.Hoyle RH (1995) Structural equation modelling: concepts, issues and applications. Sage Publications, Thousand Oaks, pp 1–132Google Scholar
- 46.Powell KE, Paluch AF, Blair SN (2011) Physical activity for health: what kind? How much? How intense? On top of what? Annu Rev Public Health 32:349–365. https://doi.org/10.1146/annurev-publhealth-031210-101151 CrossRefPubMedGoogle Scholar