ArticleBMC geriatrics2016
Differences in physical aging measured by walking speed: evidence from the English Longitudinal Study of Ageing.
Article in BMC geriatrics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed.
- Geographical Differences in the Self-Reported Functional Impairment of People With Human Immunodeficiency Virus (HIV) and Associations With Cardiometabolic Risk.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022 · on this mapTrial
- Gender-specific factors affecting changes in physical function among older adults during the COVID-19 pandemic.Scientific reports · 2025Article
- Walking gait biomechanics in individuals with quadriceps tendon autograft anterior cruciate ligament reconstruction.Frontiers in sports and active living · 2025Article
- Daily rhythms in metabolic and locomotor behaviour of prematurely ageing PolgA mice.FEBS open bio · 2024Article
- Usability of a new digital walking program for older adults: a pilot study.BMC geriatrics · 2023Article
- Geocoding processes in cohort studies: methods applied in the EpiFloripa Aging.Revista de saude publica · 2023Article
- Estimating vertical ground reaction forces during gait from lower limb kinematics and vertical acceleration using wearable inertial sensors.Frontiers in bioengineering and biotechnology · 2023Article
- Article
- Socioeconomic differences in handgrip strength and its association with measures of intrinsic capacity among older adults in six middle-income countries.Scientific reports · 2021Article
- Clinical assessment of gait and functional mobility in Italian healthy and cognitively impaired older persons using wearable inertial sensors.Aging clinical and experimental research · 2021Article
- Channel Modeling of an Optical Wireless Body Sensor Network for Walk Monitoring of Elderly.Sensors (Basel, Switzerland) · 2021Article
- Estimating Vertical Ground Reaction Force during Walking Using a Single Inertial Sensor.Sensors (Basel, Switzerland) · 2020Article
- Smoothness of Gait in Healthy and Cognitively Impaired Individuals: A Study on Italian Elderly Using Wearable Inertial Sensor.Sensors (Basel, Switzerland) · 2020Article
- Diet quality in late midlife is associated with faster walking speed in later life in women, but not men: findings from a prospective British birth cohort.The British journal of nutrition · 2020Article
- Extent of aging across education and income subgroups in Thailand: Application of a characteristic-based age approach.PloS one · 2020Article
- The structure and predictive value of intrinsic capacity in a longitudinal study of ageing.BMJ open · 2019Article
- Estimation of Ankle Joint Power during Walking Using Two Inertial Sensors.Sensors (Basel, Switzerland) · 2019Article
- Article
- Does public transport use prevent declines in walking speed among older adults living in England? A prospective cohort study.BMJ open · 2017Article
- Crossing the road in time: Inequalities in older people's walking speeds.Journal of transport & health · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
backgroundPhysical functioning and mobility of older populations are of increasing interest when populations are aging. Lower body functioning such as walking is a fundamental part of many actions in daily life. Limitations in mobility threaten independent living as well as quality of life in old age. In this study we examine differences in physical aging and convert those differences into the everyday measure of single years of age.
methodsWe use the English Longitudinal Study of Ageing, which was collected biennially between 2002 and 2012. Data on physical performance, health as well as information on economics and demographics of participants were collected. Lower body performance was assessed with two timed walks at normal pace each of 8 ft (2.4 m) of survey participants aged at least 60 years. We employed growth curve models to study differences in physical aging and followed the characteristic-based age approach to illustrate those differences in single years of age.
resultsFirst, we examined walking speed of about 11,700 English individuals, and identified differences in aging trajectories by sex and other characteristics (e.g. education, occupation, regional wealth). Interestingly, higher educated and non-manual workers outperformed their counterparts for both men and women. Moreover, we transformed the differences between subpopulations into single years of age to demonstrate the magnitude of those gaps, which appear particularly high at early older ages.
conclusionsThis paper expands research on aging and physical performance. In conclusion, higher education provides an advantage in walking of up to 15 years for men and 10 years for women. Thus, enhancements in higher education have the potential to ensure better mobility and independent living in old age for a longer period.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.