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. 2021 Oct 5;18(1):19.
doi: 10.1186/s11556-021-00275-9.

The age-related decline in spatiotemporal gait characteristics is moderated by concerns of falling, history of falls & diseases, and sociodemographic-anthropometric characteristics in 60-94 years old adults

Affiliations

The age-related decline in spatiotemporal gait characteristics is moderated by concerns of falling, history of falls & diseases, and sociodemographic-anthropometric characteristics in 60-94 years old adults

Daniel Niederer et al. Eur Rev Aging Phys Act. .

Abstract

Background: Associations between age, concerns or history of falling, and various gait parameters are evident. Limited research, however, exists on how such variables moderate the age-related decline in gait characteristics. The purpose of the present study was to investigate the moderating effects of concerns of falling (formerly referred to as fear of falling), history of falls & diseases, and sociodemographic characteristics on changes in gait characteristics with increasing age in the elderly.

Methods: In this individual participant level data re-analysis, data from 198 participants (n = 125 females) from 60 to 94 years of age were analysed (mean 73.9, standard deviation 7.7 years). Dependent variables were major spatiotemporal gait characteristics, assessed using a capacitive force measurement platform (zebris FDM-T). Age (independent variable) and the moderating variables concerns of falling (FES-I), gender/sex, history of falls and fall-related medical records, number of drugs daily taken, and body mass index were used in the statistical analysis. Hierarchical linear mixed moderation models (multilevel analysis) with stepwise (forward) modelling were performed.

Results: Decreases of gait speed (estimate = -.03, equals a decrease of 0.03 m/s per year of ageing), absolute (- 1.4) and gait speed-normalized (-.52) stride length, step width (-.08), as well as increases in speed normalized cadence (.65) and gait speed variability (.15) are all age-related (each p < .05). Overall and specific situation-related concerns of falling (estimates: -.0012 to -.07) were significant moderators. History of potentially gait- and/or falls-affecting diseases accelerated the age-related decline in gait speed (-.002) and its variability (.03). History of falls was, although non-significant, a relevant moderator (in view of increasing the model fit) for cadence (.058) and gait speed (-.0027). Sociodemographics and anthropometrics showed further moderating effects (sex moderated the ageing effect on stride length, .08; height moderated the effect on the normalised stride length, .26; BMI moderated the effects on step width, .003). .

Conclusion: Age-related decline in spatiotemporal gait characteristics is moderated by concerns of falling, (non-significantly) by history of falls, significantly by history of diseases, and sociodemographic characteristics in 60-94 years old adults. Knowing the interactive contributions to gait impairments could be helpful for tailoring interventions for the prevention of falls.

Trial registration: Re-analysis of [21-24].

Keywords: Fall risk; Fear of falling; Older adults; Walking interaction.

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Conflict of interest statement

None.

Figures

Fig. 1
Fig. 1
Results of the linear mixed moderation analyses for the dependent variables stride length (-A-), gait speed normalized stride length (-B-) and step cadence (−-C-). In each part, the model with the best fit is displayed (without the excluded variables). Each time, the estimates of how strong the independent variable predicts the dependent variable and of how strong the moderators impacts on this association, are displayed. The estimates (95% confidence intervals), and significance levels are displayed. *, p < .05; **, p < .01; ***, p < .001; SL, stride length; SL-N, gait speed normalized stride length; Concerns, concerns of falling estimated by the FES-I-7 items; Uneven, concerns of falls during walking on uneven surfaces; crowd, concerns of falls during going to a place with crowds
Fig. 2
Fig. 2
Results of the linear mixed moderation analyses for the dependent variables Gait speed (speed) (-A-) and gait speed variability (Varspeed) (-B-). In each part, the model with the best fit is displayed (without the excluded variables). Each time, the estimates of how strong the independent variable predicts the dependent variable and of how strong the moderators impacts on this association, are displayed. The estimates (95% confidence intervals), and significance levels are displayed. *, p < .05; **, p < .01; ***, p < .001; Disease, history of a potentially fall affecting disease; falls, history of fall(s) in the past 6 months; Concerns, concerns of falling estimated by the FES-I-7 items; Uneven, concerns of falls during walking on uneven surfaces
Fig. 3
Fig. 3
Linear mixed moderation results for the dependent variables step width (width) (-A-) and double stance time (-B-). In each part, the model with the best fit is displayed (without the excluded variables). Each time, the estimates of how strong the independent variable predicts the dependent variable and of how strong the moderators impacts on this association, are displayed. The estimates (95% confidence intervals), and significance levels are displayed. *, p < .05; **, p < .01; ***, p < .001; BMI, body mass index; Concerns, concerns of falling estimated by the FES-I-7 items; Uneven, concerns of falls during walking on uneven surfaces; Crowd, concerns of falls during walking in a crowd; DST, double stance time

References

    1. Ageing and Life Course, Weltgesundheitsorganisation. WHO global report on falls prevention in older age. Geneva: World Health Organization Ageing and Life Course Family and Community Health; 2008.
    1. Guirguis-Blake JM, Michael YL, Perdue LA, Coppola EL, Beil TL. Interventions to prevent falls in older adults: updated evidence report and systematic review for the US preventive services task force. JAMA. 2018;319(16):1705–1716. doi: 10.1001/jama.2017.21962. - DOI - PubMed
    1. Scuffham P, Chaplin S, Legood R. Incidence and costs of unintentional falls in older people in the United Kingdom. J Epidemiol Community Health. 2003;57(9):740–744. doi: 10.1136/jech.57.9.740. - DOI - PMC - PubMed
    1. Park S-H. Tools for assessing fall risk in the elderly: a systematic review and meta-analysis. Aging Clin Exp Res. 2018;30(1):1–16. doi: 10.1007/s40520-017-0749-0. - DOI - PubMed
    1. Walls HL, Peeters A, Reid CM, Liew D, McNeil JJ. Predicting the effectiveness of prevention: a role for epidemiological modeling. J Prim Prev. 2008;29(4):295–305. doi: 10.1007/s10935-008-0143-y. - DOI - PubMed

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