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Impact of Physical Activity on Chronic Diseases
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Impact of Physical Activity on Chronic Diseases

A special issue of Healthcare (ISSN 2227-9032). This special issue belongs to the section "Chronic Care".

Deadline for manuscript submissions: 31 May 2025 | Viewed by 1496

Special Issue Editor

Dr. María Mendoza Muñoz

E-Mail Website
Guest Editor
Research Group on Physical and Health Literacy and Health-Related Quality of Life (PHYQOL), Faculty of Sport Science, University of Extremadura, 10003 Cáceres, Spain
Interests: health; children; chronic disease; physical condition; physical literacy; obesity; well-being
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Regular exercise is a key pillar in the prevention and treatment of various chronic diseases. In addition to improving the cardiovascular, musculoskeletal, and respiratory systems and contributing to a healthy weight, physical activity significantly improves the management of diseases such as diabetes, hypertension, and chronic lung disease. Exercise helps regulate blood glucose levels, lowers blood pressure, and improves lung capacity. On a psychological level, exercise acts as a powerful antidepressant and anxiolytic, improving self-esteem and quality of life. However, significant inequalities in physical activity levels persist, especially among disadvantaged socio-economic and ethnic groups. Further research is needed to develop effective and personalized interventions to promote physical activity across the population throughout their lifespan.

The aim of this Special Issue is to provide an updated overview of the influence of physical exercise on different chronic diseases with a focus on prevention, as well as new and emerging issues, and to explore the promotion of physical exercise as a non-pharmacological treatment of disease.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following: reliability studies, validity studies, correlational studies, observational studies, study protocols, longitudinal studies, cross-sectional studies, case reports, qualitative studies, discourse analysis studies, bibliometric reviews, narrative reviews, scoping reviews, systematic reviews, and meta-analyses.

We look forward to receiving your contributions.

Dr. María Mendoza Muñoz
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Healthcare is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • chronic disease
  • exercise
  • health promotion
  • health-related quality of life
  • physical exercise

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Published Papers (1 paper)

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16 pages, 682 KiB  
Article
Diabetes Eye Disease Sufferers and Non-Sufferers Are Differentiated by Sleep Hours, Physical Activity, Diet, and Demographic Variables: A CRT Analysis
by Damián Pereira-Payo, Ángel Denche-Zamorano, María Mendoza-Muñoz and Raquel Pastor-Cisneros
Healthcare 2024, 12(23), 2345; https://doi.org/10.3390/healthcare12232345 - 23 Nov 2024
Cited by 1 | Viewed by 1127
Abstract
Introduction: Diabetic eye disease is the most common microvascular complication of diabetes mellitus. This complication has some direct impact on an individual’s well-being and health. Some lifestyle habits have been associated with the incidence of these co-morbidities. Objective: To classify the diabetic population [...] Read more.
Introduction: Diabetic eye disease is the most common microvascular complication of diabetes mellitus. This complication has some direct impact on an individual’s well-being and health. Some lifestyle habits have been associated with the incidence of these co-morbidities. Objective: To classify the diabetic population into sufferers or non-sufferers of diabetes eye disease according to lifestyle and demographic variables, and to identify which of these variables are significant for this classification. Methods: The present cross-sectional study based on the NHANES 2011–2020 used the Classification and Regression Tree (CRT) analysis for classifying the diabetic population into sufferers and non-sufferers of diabetes eye disease. The odds ratio (OR) and relative risks (RR) of suffering this diabetes complication of the subgroups formed by the model were studied. The final sample formed 2657 individuals (1537 males and 1120 females). Results: A 79.4% accuracy was found for the CRT model. The independent variables of sleep hours (100.0%), physical activity (PA) group (92.8%), gender (76.2%), age (46.4%), education level (38.4%), sedentary time (38.1%), and diet (10.0%) were found to be significant for the classification of cases. The variable high alcohol consumption was not found significant. The analysis of the OR and RR of the subgroups formed by the model evidenced greater odds of suffering diabetes eye disease for diabetes sufferers from the inactive and walk/bicycle PA group compared to those from the Low, Moderate, and High PA groups (OR: 1.48 and RR: 1.36), for males compared to females (OR: 1.77 and RR: 1.61), for those sleeping less than 6 h or more than 9 compared to those who sleep between 6 and 8 h (OR: 1.61 and RR: 1.43), and for diabetes sufferers aged over 62 compared to younger ones (OR: 1.53 and RR: 1.40). Conclusions: sleep hours, PA group, gender, age, education level, sedentary time, and diet are significant variables for classifying the diabetic population into sufferers and non-sufferers of diabetes eye disease. Additionally, being in the inactive or walk/bicycle PA group, being a male, sleeping less than 6 or more than 9 h, and being aged over 62 were identified as risk factors for suffering this diabetes complication. Full article
(This article belongs to the Special Issue Impact of Physical Activity on Chronic Diseases)
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