Measuring Older Adult Gait Speed in Community Settings using the 30 Foot-Walk at Preferred and Maximum Speed

Theou, Olga; French, Jeana; Hernandez, Danielle; Rose, Debra J.; Jones, Jessie

doi:10.1249/00005768-200605001-02290

Cited by 8 publications

(7 citation statements)

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“…29 The 30-ft walk test measures preferred and maximum gait speed. 23 , 31 Test-retest reliability ( r = 0.96 for preferred speed and r = 0.98 for maximum speed) 31 has been established, and differences in mean gait speed scores between various older adult age groups have demonstrated discriminative validity as a function of age and sex. 23 This study uses the terms "comfortable gait speed (CGS)" for preferred speed and "fast gait speed (FGS)" for maximum speed.…”

Section: Research Reportmentioning

confidence: 99%

Variables Explaining Health-Related Quality of Life in Community-Dwelling Older Adults

Sartor-Glittenberg

Lehmann

Okada³

et al. 2014

Journal of Geriatric Physical Therapy

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Section: Research Reportmentioning

confidence: 99%

Variables Explaining Health-Related Quality of Life in Community-Dwelling Older Adults

Sartor-Glittenberg

Lehmann

Okada³

et al. 2014

Journal of Geriatric Physical Therapy

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“…The 30-Foot Walk Test assessed walking speed [34]. The test was performed twice; first at the participants' preferred walking speed, and then at their fastest walking speed.…”

Section: -Foot Walk Testmentioning

confidence: 99%

Changes in Physical Functioning in the Active Living Every Day Program of the Active for Life Initiative®

et al. 2010

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“…The 30‐Foot Walk Test (30FWT), a measure of walk velocity and gait cadence (Theou, French, Hernandez, & Rose, ), measures number of steps and seconds to walk 30 feet using preferred and maximum (fast) speed. Gait velocity was calculated by dividing distance by time to completion.…”

Section: Methodsmentioning

confidence: 99%

Heterogeneity in fibromyalgia based upon cognitive and physical performance and psychological symptomology

Follick

Cherry

Rutledge

et al. 2016

Journal of the American Association of Nurse Practitioners

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Purpose This study sought to investigate the existence of subgroups within a fibromyalgia (FM) sample based on physical and cognitive performance measures, as well as self‐report psychological measures. A multisystem disorder characterized by widespread musculoskeletal pain and co‐morbid conditions, FM can lead to declines in cognitive functioning and difficulty with psychological health. Data sources Community participants (n = 57 women) recruited from support groups and university center databases provided documentation of having met the criteria for diagnosis of FM. Measures included validated performance and self‐report instruments. Analysis was completed using hierarchical cluster analysis; a four cluster solution was chosen for its level of interpretability. The resulting model identified four distinct subgroups based upon patterns of performance and symptomology. Significant group differences were found on pain, fatigue, stiffness, and level of physical activity. Conclusions Study results support the existence of subgroups among the FM population based on levels of cognitive and physical performance and psychological symptoms. Implications for practice Nurse practitioners aware of potential subgroups within FM should be better prepared to recommend treatment options for patients that target subgroup characteristics (e.g., high vs. low levels of psychological symptoms).

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Measuring Older Adult Gait Speed in Community Settings using the 30 Foot-Walk at Preferred and Maximum Speed

Cited by 8 publications

References 0 publications

Variables Explaining Health-Related Quality of Life in Community-Dwelling Older Adults

Variables Explaining Health-Related Quality of Life in Community-Dwelling Older Adults

Changes in Physical Functioning in the Active Living Every Day Program of the Active for Life Initiative®

Heterogeneity in fibromyalgia based upon cognitive and physical performance and psychological symptomology

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