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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Feb 25, 2021
Date Accepted: Apr 29, 2021

The final, peer-reviewed published version of this preprint can be found here:

Intelligent Personalized Exercise Prescription Based on an eHealth Promotion System to Improve Health Outcomes of Middle-Aged and Older Adult Community Dwellers: Pretest–Posttest Study

Sun T, Xu Y, Xie H, Ma Z

Intelligent Personalized Exercise Prescription Based on an eHealth Promotion System to Improve Health Outcomes of Middle-Aged and Older Adult Community Dwellers: Pretest–Posttest Study

J Med Internet Res 2021;23(5):e28221

DOI: 10.2196/28221

PMID: 34028359

PMCID: 8185615

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Intelligent Personalized Exercise Prescription Based on an E-Health Promotion System to Improve Health Outcomes of Middle-Aged and Elderly Community Dwellers: A Pretest-Posttest Design Study

  • Ting Sun; 
  • Yang Xu; 
  • Hui Xie; 
  • Zuchang Ma

ABSTRACT

Background:

Exercise prescription is highly recommended but often poorly implemented as clinicians lack the necessary knowledge and skills, and participants have low adherence due to design defects, e.g. prescriptions fail to take individual willingness, the appeal of exercise, and complex physical condition into account. Intelligent personalized prescription is worth exploring.

Objective:

The aim of this study was to investigate whether a year-long cloud platform-based and intelligent personalized exercise prescription intervention improved middle-aged and elderly Chinese community dwellers’ health outcomes.

Methods:

A total of 177 participants (52–85 years, mean age=67.93±7.05 years) were recruited from two Chinese community health service centers in Anhui province. The exercise intervention was delivered over 12 months, using a single group pretest-posttest design. After assessing participants’ physical activity, health-related lifestyle, history of chronic diseases and drug use, family history of disease and cardiovascular function, body composition, bone mineral density, and physical fitness through an e-health promotion system, participants were assigned to one type of personalized exercise prescription by this system (healthcare mode or scientific fitness mode). Paired t-tests were used for the analysis.

Results:

A total of 97 participants were classified into the healthcare mode, and the remaining individuals (80) were assigned to the scientific fitness mode. Significant changes in heart rate (mean difference (MD): 2.97, 95% CI: 1.1–4.84, P=.002), subendocardial viability ratio (MD: −0.13, CI: −1.19 to −0.63, P<.0001), weight (MD: 0.99, CI: 0.29–1.69, P=.006), BMI (MD: 0.38, CI: 0.11–0.64, P=.006), body fat rate (MD: 0.88, CI: 0.24–1.51, P=.007), fat mass (MD: 0.92, CI: 0.33–1.53, P=.003), and baPWV (MD: −0.72, CI: −1.17 to −0.27, P=.002) were observed among participants with healthcare-mode exercise prescriptions at the 12-month post-intervention versus the baseline assessment, while no changes in systolic blood pressure, diastolic blood pressure, muscle mass, bone mineral density, T-value, Z-value, balance and ability were discerned. The results showed functional degradation in physical fitness of both groups, including handgrip strength (healthcare mode: MD=4.41 vs scientific fitness mode: MD=3.11), vital capacity (healthcare mode: MD=261.99 vs scientific fitness mode: MD=250.78) and agility (healthcare mode: MD=−0.35 vs scientific fitness mode: MD=−0.39) with P<.0001, except handgrip strength in scientific fitness mode (P=.002). There were no significant differences in other parameters among participants with scientific fitness-mode exercise prescriptions.

Conclusions:

The observations suggest that our exercise prescription intervention program might promote certain health outcomes in middle-aged and elderly Chinese community dwellers, yet we are unable to recommend such a program given existing limitations. Future randomized control trials with diverse samples are warranted to confirm our findings.


 Citation

Please cite as:

Sun T, Xu Y, Xie H, Ma Z

Intelligent Personalized Exercise Prescription Based on an eHealth Promotion System to Improve Health Outcomes of Middle-Aged and Older Adult Community Dwellers: Pretest–Posttest Study

J Med Internet Res 2021;23(5):e28221

DOI: 10.2196/28221

PMID: 34028359

PMCID: 8185615

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