Timed Up and Go Test in Functional Ageing

The Timed Up and Go test is a brief observed assessment of functional mobility. It was developed as a timed version of the Get-Up and Go test for frail older adults and combines several movements needed in everyday mobility into one elapsed-time outcome. [1] Because performance reflects the coordinated output of multiple systems, TUG is useful as a functional summary but is not a direct assay of ageing biology. [2]

Who This Is Useful For

This page is useful for readers interpreting TUG results in studies of healthspan, frailty, mobility, falls, rehabilitation, and population ageing. It explains what is timed, why performance changes with functional status, and why one cutoff cannot classify every older person or research population. [2] [6] [7]

What the Test Contains

Standard instructions ask the participant to use regular footwear and customary walking aids and to move at a normal, safe pace. Timing begins on the instruction to go and ends when the participant is seated again. [1] The single stopwatch value combines all phases, so two people with the same total time may differ in whether rising, straight walking, turning, or sitting accounts for most of their performance. Instrumented versions can separate phases, but their devices, algorithms, and reported variables are not yet fully standardized. [8]

Why TUG Relates to Functional Ageing

Functional mobility depends on interacting musculoskeletal, neurological, sensory, cognitive, and cardiovascular processes. Age-related change or disease in several of these domains can lengthen TUG time, while adaptation in one domain may partly compensate for limitations in another. This makes the test sensitive to overall task performance without making it specific to a single impairment. [2]

Reference data show that average completion time tends to increase across older age groups. A descriptive meta-analysis of apparently healthy adults aged 60 years and older reported an overall mean of 9.4 seconds, with means rising from 8.1 seconds at ages 60-69 to 11.3 seconds at ages 80-99. [3] These values describe selected study samples rather than a universal ageing timetable. Large population data also show associations with sex, cognition, previous falls, joint pain, sensory problems, and multiple health conditions. [4]

Association Is Not a Functional Age Clock

A slower time can indicate lower functional mobility relative to an appropriate comparison group, but the result cannot be translated into an exact “functional age.” Chronological age contributes to population differences, yet the same time can arise from pain, weakness, cautious movement, impaired balance, neurological disease, unfamiliarity with instructions, or features of the testing setup. [2] [4]

TUG performance has prognostic associations. In a national cohort of more than one million 66-year-old adults, slower categories were associated with higher subsequent risks of myocardial infarction, heart failure, and all-cause mortality after adjustment for measured risk factors. [5] Such observational associations may reflect underlying disease burden and physiological reserve; they do not establish that a slower TUG time causes these outcomes.

Falls: Why a Single Cutoff Is Insufficient

TUG is frequently described as a fall-risk screen, but falls arise from many interacting exposures, including previous falls, medications, vision, environment, cognition, balance, and acute illness. In a meta-analysis of community-dwelling older adults, a threshold of 13.5 seconds had pooled sensitivity of 0.31 and specificity of 0.74 for identifying fallers. [6] The low sensitivity means that many people who fell were not identified by that threshold.

An umbrella review likewise found inconsistent predictive performance across gait, balance, and functional-mobility assessments and concluded that no single test predicts falls with high certainty. [7] TUG can therefore contribute one observed mobility measure to a broader risk model, but elapsed time alone does not capture the multidimensional causes of falling.

Protocol and Measurement Effects

Evidence supports sufficient validity and reliability for TUG as a balance-related assessment in older populations, but measurement quality does not make protocols interchangeable. [2] Changes over time must also exceed plausible measurement variation and be meaningful for the population studied. A systematic review found that published minimal-important-change estimates vary by health condition, method, and external anchor. [9]

Evidence Quality and Interpretation

Confidence is strong that TUG is a brief, standardized representation of functional mobility and that slower times are associated with poorer function and adverse outcomes in many older populations. This conclusion is supported by measurement-property reviews, reference studies, and large observational cohorts. [2] [3] [5]

Confidence is weaker for universal thresholds, individual causal interpretation, and prediction of future falls from TUG alone. Population heterogeneity, protocol variation, and the compression of several movement phases into one time all constrain interpretation. [6] [7] [8]

What This Does Not Mean

• It does not mean a TUG time is a direct measurement of biological or functional age. [2] [4]
• It does not mean a slow result identifies one disease or physiological mechanism. [1] [2]
• It does not mean crossing one cutoff determines whether an individual will fall. [6] [7]
• It does not mean identical total times represent identical movement strategies or impairments. [8]

Practical Interpretation Examples

• If an older cohort has a slower mean time: this may indicate lower average functional mobility, but age distribution, morbidity, aids, and protocol should be compared before attributing the difference to ageing. [3] [4]
• If one participant becomes faster at follow-up: the difference may reflect functional change, practice, day-to-day variation, or setup; its meaning depends on measurement error and population-specific change estimates. [9]
• If a time is below a fall-risk threshold: this does not rule out future falls because the sensitivity of single TUG cutoffs is limited. [6] [7]

Summary

The Timed Up and Go test condenses rising, walking, turning, and sitting into one measure of observed functional mobility. It is informative in ageing research because these actions require coordinated capacity across multiple systems and because slower performance is associated with adverse outcomes. Its result remains protocol-dependent and nonspecific: it is neither a diagnosis, a stand-alone fall predictor, nor a clock that converts mobility into biological age. [1] [2] [6]

References

1. Podsiadlo, D., & Richardson, S. (1991). The timed “Up & Go”: a test of basic functional mobility for frail elderly persons. Journal of the American Geriatrics Society, 39(2), 142-148. https://pubmed.ncbi.nlm.nih.gov/1991946/
2. Sánchez-Rodríguez, D., Marco, E., Dávalos-Yerovi, V., et al. (2023). Measures of attributes of locomotor capacity in older people: a systematic literature review following the COSMIN methodology. Age and Ageing, 52(11), afad214. https://pubmed.ncbi.nlm.nih.gov/37902521/
3. Bohannon, R. W. (2006). Reference values for the Timed Up and Go test: a descriptive meta-analysis. Journal of Geriatric Physical Therapy, 29(2), 64-68. https://pubmed.ncbi.nlm.nih.gov/16914068/
4. Ibrahim, A., Singh, D. K. A., & Shahar, S. (2017). “Timed Up and Go” test: age, gender and cognitive impairment stratified normative values of older adults. PLOS ONE, 12(10), e0185641. https://pubmed.ncbi.nlm.nih.gov/28972994/
5. Chun, S., Shin, D. W., Han, K., et al. (2021). The Timed Up and Go test and the ageing heart: findings from a national health screening of 1,084,875 community-dwelling older adults. European Journal of Preventive Cardiology, 28(2), 213-219. https://pubmed.ncbi.nlm.nih.gov/33838038/
6. Barry, E., Galvin, R., Keogh, C., Horgan, F., & Fahey, T. (2014). 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 Geriatrics, 14, 14. https://pubmed.ncbi.nlm.nih.gov/24484314/
7. Park, S. H. (2018). Tools for assessing fall risk in the elderly: a systematic review and meta-analysis. Aging Clinical and Experimental Research, 30(1), 1-16. https://pubmed.ncbi.nlm.nih.gov/28374345/
8. Ortega-Bastidas, P., Gómez, B., Aqueveque, P., Luarte-Martínez, S., & Cano-de-la-Cuerda, R. (2023). Instrumented Timed Up and Go test (iTUG)—more than assessing time to predict falls: a systematic review. Sensors, 23(7), 3426. https://pubmed.ncbi.nlm.nih.gov/37050485/
9. Low, D. C., & Walsh, G. S. (2022). The minimal important change for measures of balance and postural control in older adults: a systematic review. Age and Ageing, 51(12), afac284. https://pubmed.ncbi.nlm.nih.gov/36580388/