Cited by 6Mobile Health and mHealth ApplicationsTechnology Use by Older AdultsContext-Aware Activity Recognition Systems

Improving Healthy Aging by Monitoring Patients’ Lifestyle through a Wearable Device: Results of a Feasibility Study

Open access
Fioranzato, Maria, Comoretto, Rosanna Irene, Lanera, Corrado, Pressato, Lamberto, Palmisano, Giuseppe, Barbacane, Luca, Gregori, Dario·2021·International Journal of Environmental Research and Public Health

Abstract

Population aging is related to a huge growth in healthcare and welfare costs. Therefore, wearable devices could be strategic for minimizing years of disability in old age and monitoring patients’ lifestyles and health. The purpose of this study was to assess the feasibility of using smart devices to monitor patients’ physical activity in a primary care setting. To assess the acceptance of this novel technology from the point of view of both patients and healthcare professionals, two questionnaires (one paper-based and one ex-novo developed) were administered to 11 patients with type 2 diabetes mellitus and a non-compliant behavior towards the therapeutic indications of their general practitioner (GP). Seven participants would continue to use a wearable activity tracker to monitor their health. We observed that 75% of patients reported a device’s characteristics satisfaction level of over 80% of the total score assigned to this dimension. No differences were observed in the questionnaire’s scores between the two professionals categories (GPs and nurses). Three dimensions (equipment characteristics, subjective norm, perceived risks, perceived ease-of-use and facilitating conditions) correlated > 0.5 with the device’s acceptability level. Some weak correlations were observed between healthcare professionals’ perception and patients’ parameters, particularly between the dimensions of collaboration and web interface ease-of-use and patients’ median number of steps and hours of sleep. In conclusion, despite the limited number of subjects involved, a good acceptance level towards these non-medical devices was observed, according to both patients’ and healthcare professionals’ impressions.

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Crossref · 10.3390/ijerph18189806

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  • Exercise interventions enhance insulin sensitivity.

    “This observation aligns with established evidence that exercise interventions enhance insulin sensitivity [47]”

    From Effectiveness of Wearable Devices for Diabetes Management: An Overview of Systematic Reviews and Meta‐Analyses (2026) · cites this paper as [47]

    The Study Design section describes monitoring physical activity with a wearable device, and the Discussion recommends maintaining physical activity for people with diabetes. Neither reports an exercise intervention or states that exercise improves insulin sensitivity. Searches for “insulin sensitivity” and exercise-related improvements in insulin resistance or glucose metabolism found no supporting passage. (LLM, conf=0.75)

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Authors
Fioranzato, M., Comoretto, R. I., Lanera, C., Pressato, L., Palmisano, G., Barbacane, L., & Gregori, D.
Affiliations
  • University of Padua (IT)
  • Group of Primary Care of Vigonovo, Unità Locale Socio-Sanitaria ULSS 3 Serenissima, 30030 Vigonovo, Italy
  • Group of Primary Care of Quarto D’Altino, Unità Locale Socio-Sanitaria ULSS 3 Serenissima, 30020 Quarto d’Altino, Italy
  • Group of Primary Care of Martellago, Unità Locale Socio-Sanitaria ULSS 3 Serenissima, 30030 Martellago, Italy
  • Unit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, 35131 Padova, Italy
Venue
International Journal of Environmental Research and Public Health
Publisher
MDPI AG
Published
2021-09-17
Volume
18
Issue
18
Pages
9806
ISSN
1660-4601 (ISSN-L)
OpenAlex
W3200897138
Cited by
6
References
20
Citations by year
2026: 2 · 2025: 1 · 2024: 2 · 2023: 1
FWCI
0.84
Type
journal article
Language
en
Open access
Locations
  • International Journal of Environmental Research and Public Health (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, other-oa)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Institutional Research Information System University of Turin (University of Turin) (submittedVersion, other-oa)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
  • Padua Research Archive (University of Padova) (submittedVersion, cc-by)
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Social Sciences › Demography › Technology Use by Older Adults
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
Keywords
wearable devices, wearable activity trackers, physical activity monitoring, type 2 diabetes, technology acceptance, UTAUT, patient acceptance, primary care, healthy aging
MeSH terms
Healthy Aging, Wearable Electronic Devices, Diabetes Mellitus, Type 2, Feasibility Studies, Humans, Life Style

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