Background: Post-COVID-19 syndrome still occurs in some populations. A healthy lifestyle is widely recognized as a first-line treatment to increase the body's antiviral resistance and tissue repair, but it is unclear whether a healthy lifestyle can promote or alleviate the symptoms of post-COVID-19 syndrome.
Methods: A stratified random sampling method was used to select 498 participants from three universities in Fujian as the target of the questionnaire survey. The survey focused on students' healthy lifestyles and the symptoms of fatigue, anxiety, dyspnea, and depression that are common in post-COVID-19 syndrome.
Results: Two months after developing COVID-19, some students continued to experience fatigue, anxiety, dyspnea, and depression, with fatigue being the most prominent symptom. The results of the study showed that there was a significant negative correlation ( < 0.01) between a healthy lifestyle and fatigue, anxiety, dyspnea, and depression among university students. Furthermore, when analyzing the different subdimensions of healthy lifestyles among university students, it was found that all dimensions showed varying degrees of negative correlation with fatigue, anxiety, dyspnea, and depression, except for health-related behaviors and interpersonal behaviors, which showed no relationship with fatigue ( < 0.01).
Conclusions: By improving healthy lifestyles, long-term COVID-19 symptoms can be reduced and improved and contribute positively to patient recovery, providing a viable rehabilitation option for long-term COVID-19 patients.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11100468 | PMC |
http://dx.doi.org/10.4103/atm.atm_219_23 | DOI Listing |
EClinicalMedicine
October 2024
Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Unity Health Toronto, Toronto, ON M5B 1W8, Canada.
Background: Use of health applications (apps) to support healthy lifestyles has intensified. Different app features may support effectiveness, including gamification defined as the use of game elements in a non-game situation. Whether health apps with gamification can impact behaviour change and cardiometabolic risk factors remains unknown.
View Article and Find Full Text PDFHealth Sci Rep
January 2025
Faculty of Health and Life Sciences, Leicester School of Allied Health Sciences De Montfort University, The Gateway Leicester UK.
Background And Aims: There is emerging evidence that genes, lifestyles and environment play a prominent role in the development of non-communicable diseases. Currently, there is not information on people's perception of inherited genetics vs. lifestyle on disease development.
View Article and Find Full Text PDFBackground: Type 2 diabetes (T2D) results from a complex interplay between genetic predisposition and lifestyle factors. Both genetic susceptibility and unhealthy lifestyle are known to be associated with elevated T2D risk. However, their combined effects on T2D risk are not well studied.
View Article and Find Full Text PDFTrials
January 2025
Department of Community and Behavioral Health, Colorado School of Public Health, Denver, CO, USA.
Background: Disparities in sexually transmitted infections (STI) including human immunodeficiency virus (HIV) among sexual minority boys and young men are substantial. Effective HIV and STI prevention programs that include access to pre-exposure prophylaxis (PrEP) medication do not consistently include younger sexual minority men. Text-messaging programs for HIV prevention have been associated with increases in HIV testing among sexual minority adolescent boys, but these programs have not incorporated a focus on PrEP or STIs beyond HIV.
View Article and Find Full Text PDFBMC Med
January 2025
Department of Public Health, Erasmus MC University Medical Center, Rotterdam, the Netherlands.
Background: Over the past decades, the prevalence of obesity among adults has rapidly increased, particularly in socioeconomically deprived urban neighbourhoods. To better understand the complex mechanisms behind this trend, we created a system map exposing the underlying system driving obesity prevalence in socioeconomically deprived urban neighbourhoods over the last three decades in the Netherlands.
Methods: We conducted Group Model Building (GMB) sessions with a group of thirteen interdisciplinary experts to develop a Causal Loop Diagram (CLD) of the obesogenic system.
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