The impact of covid-19 on the relationship between wellness and physical activity: a structured literature review

ABSTRACT

The COVID-19 pandemic has notably altered patterns of physical activity, affecting overall wellness. A systematic literature review was conducted to discern the impact of physical activity on well-being during COVID-19 isolation. Factors such as demography, age, and gender were analyzed to understand their correlation with mental well-being during these unprecedented times. The review elucidates essential characteristics that played a role in shaping well-being in the context of diminished physical activity during the pandemic. This systematic literature review discusses the various characteristics that influenced the well-being of individuals during COVID-19 isolation. We examined the literature on demography, age, and gender, which experts consider important factors for understanding individuals’ mental well-being affected by various circumstances. Hence the current review addresses those identified characteristics that influence well-being due to the lack of physical activity.

KEYWORDS:

• wellness
• physical activity
• Covid-19
• stress
• anxiety
• depression

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Satvika Marrapu

I am Satvika Marrapu, a dedicated Ph.D. candidate specialising in Information Science with a concentration in Data Science at the University of North Texas. With a strong academic background and a passion for exploring the vast potential of data, I am committed to advancing the field through my research and scholarly contributions. My primary focus lies in leveraging data science techniques to uncover valuable insights and solve complex problems in information science. By combining my knowledge of information systems with advanced data analytics, I aim to enhance the accessibility, usability, and effectiveness of information systems, thereby empowering individuals and organisations with data-driven decision-making capabilities. I actively engage in academic conferences, workshops, and seminars, where I share my research findings and exchange ideas with experts in the field.

William Senn

Will Senn is an Assistant Professor of Computer Information Systems in the College of Business at Tarleton State University. He holds a Ph.D. in Information Sciences from the University of North Texas. He is a member of a multidisciplinary team of researchers looking at data and conducting research involving health services, service quality, and technology. His areas of research are survey measurement, service quality, augmented reality, and information. He teaches C#, Databases, Management Information Systems, and various other technical subjects.

Victor Prybutok

Victor Prybutok is a Regents Professor of Decision Sciences in the G. Brint Ryan College of Business, Vice Provost for Graduate Education, and Dean of the Toulouse Graduate School at the University of North Texas. He received, from Drexel University, his B.S. with High Honours in 1974, a M.S. in Bio-Mathematics in 1976, a M.S. in Environmental Health in 1980, and a Ph.D. in Environmental Analysis and Applied Statistics in 1984. Dr. Prybutok is an American Society for Quality certified quality engineer, certified quality auditor, certified manager of quality / organisational excellence, and an American Statistical Association accredited professional statistician (PSTAT®). He has authored over 250 journal articles, over 350 conference presentations, and several book chapters. Research.com includes Prybutok among the list of Best Scientists for Business and Management in the nation and world. His awards include the 2015 Federation of Business Disciplines Outstanding Educator Award, the Southwest Decision Sciences Institute Outstanding Educator Award, the 2017 American Society for Quality Gryna Award, the 2018 Decision Sciences Institute Lifetime Distinguished Educator Award, and the 2020 Southwest Decision Sciences Institute Distinguished Service Award. In May of 2023, Dr. Prybutok started his servicepresident-electlect of the Decision Sciences Institute and will serve as president starting May of 2024 and past president in 2025.