Simple home test predicts mobility decline in older adults

(Toronto, May 12, 2026) Predicting whether a healthy 45-year-old will struggle to climb stairs or walk a decade later has long been a challenge for geriatric medicine. Now, a study published in JMIR Aging, a leading open access journal from JMIR Publications, reveals that early mobility decline can be predicted using a simple set of home-based measurements and artificial intelligence.

The research was conducted by a multi-institutional team including Alberto Conde Freniche, Mo Chen, Dantong Wang, and Denis Breuillé from the Nestlé Institute of Health Sciences (Switzerland) and Wei Hu and Yu-ming Chen from Sun Yat-sen University (China).

The Silent Decline

Mobility limitations, such as difficulty walking or climbing stairs, are often the first signs of functional decline, leading to a loss of independence and higher healthcare costs. However, in the early stages, many adults unconsciously adapt their movements to compensate for physical weakness, making the decline "silent" until it is too late to easily reverse.

The research team followed 1,344 healthy, mobility-intact adults aged 45 and older in Guangzhou, China, for nearly seven years. By the end of the study, 15.3% of the participants had developed early mobility limitations (EMLs).

Six Keys to Predicting the Future

Using machine learning, the researchers identified six essential factors that accurately predict the onset of these limitations:

1. Age

2. Sex

3. Body Mass Index (BMI)

4. Sit-to-Stand (STS) Power: A measure of leg muscle power calculated from a standard chair-rise test.

5. Adherence to a Mediterranean Diet: A nutritional score based on healthy food intake.

6. Dietary Calcium Intake

Among these, the study found that advanced age, lower muscle power (STS), a higher BMI, and poor adherence to a Mediterranean-style diet were the most significant predictors of future mobility struggles.

A Tool for Home Self-Assessment

Unlike traditional diagnostic tools that require clinical visits or expensive equipment, the model developed in this study relies on simple-to-obtain data. The Sit-to-Stand test, for example, requires only a standard chair and a stopwatch.

"This study shows that early mobility limitations can be predicted using easy-to-obtain physical performance measures and specific nutritional factors," the researchers conclude. This opens the door for digital health tools or mobile apps that allow individuals to self-assess their risk at home.

The findings suggest that even for middle-aged adults who feel perfectly healthy, subtle deficits in muscle power or poor nutrition are early warning signs. Identifying these risks early allows for a window of opportunity where lifestyle interventions, such as targeted exercise and improved diet, can effectively change an individual's aging trajectory.

Please cite as: 

Freniche A, Hu W, Chen M, Wang D, Breuillé D, Chen Y. Early Identification of Mobility Limitations in Community-Dwelling Middle-Aged and Older Adults: Development of a Prediction Model Based on a Prospective Cohort. JMIR Aging 2026;9:e77187

URL: https://aging.jmir.org/2026/1/e77187

DOI: 10.2196/77187

About JMIR Aging

As part of the JMIR Publications portfolio, JMIR Aging leverages a legacy of open science and technological leadership to transform geriatric care. The journal integrates data science, health informatics, and emerging technologies to improve clinical outcomes and well-being for older adults across the care continuum. JMIR Aging ensures that high-impact, evidence-based digital interventions reach a multidisciplinary audience of clinicians, researchers, and caregivers to enhance the quality of life for the global aging population.

About JMIR Publications

JMIR Publications is a leading open access publisher of digital health research and a champion of open science. With a focus on author advocacy and research amplification, JMIR Publications partners with researchers to advance their careers and maximize the impact of their work. As a technology organization with publishing at its core, we provide innovative tools and resources that go beyond traditional publishing, supporting researchers at every step of the dissemination process. Our portfolio features a range of peer-reviewed journals, including the renowned Journal of Medical Internet Research. 

To find out more about JMIR Publications, visit jmirpublications.com or connect with them on Bluesky, X, LinkedIn, YouTube, Facebook, and Instagram.

Media Contact:

Dennis O’Brien, Vice President, Communications & Partnerships, JMIR Publications

communications@jmir.org    +1 416-583-2040

The content of this communication is licensed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, published by JMIR Publications, is properly cited.