Sociodemographic Factors Related to Perceived Physical Activity on Chilean Adults After COVID-19 Pandemic

Overview

Journal Sports (Basel)

Publisher MDPI

Specialty Public Health

Date 2024 Sep 27

PMID 39330715

Authors

Rodrigo Gallardo-Rodriguez

Felipe Poblete-Valderrama

Viviana Rodas-Kurten

Joao Paulo Vilas-Boas

Affiliations

Soon will be listed here.

Abstract

The current study aimed to examine the relationship between sociodemographic variables (i.e., sex, age, marital status, educational level, socioeconomic status, and working mode) and physical activity levels declared by Chilean adults. The sample comprised 483 Chilean adults, 159 men (32.9%) and 324 women (67.1%) aged from 18 to 69 years old (36.5 ± 12.0). The participants completed an ad hoc sociodemographic online survey between December 2022 and March 2023 that included questions about characteristics of participants such as sex, age, educational level, household income, marital status, and working mode. Vigorous, moderate, and walking activities were measured using the International Physical Activity Questionnaire-Short Form (IPAQ-SF), a self-administered questionnaire. Men declared significantly higher vigorous and moderated physical activity than women. People aged 18 to 25, single or unmarried, and with the lowest household income, showed significantly higher scores in vigorous physical activity than those aged 26 to 45, cohabiting with a partner or married, and middle household income, respectively. Regarding working mode, people working at their job site said walking more than people not working, working in a hybrid mode, and working online. Our findings suggest that promoting strategies that increase physical activity during the pandemic is necessary to avoid health problems.

References

Martins J, Marques A, Teixeira P, Mota J, Lopes C, Nicola P . Socio-demographic factors associated with physical activity and sitting time patterns in adults: An analysis based on the Portuguese Food, Nutrition and Physical Activity Survey. Eur J Sport Sci. 2020; 21(2):250-260. DOI: 10.1080/17461391.2020.1736643. View

Milanovic Z, Pantelic S, Trajkovic N, Sporis G, Kostic R, James N . Age-related decrease in physical activity and functional fitness among elderly men and women. Clin Interv Aging. 2013; 8:549-56. PMC: 3665513. DOI: 10.2147/CIA.S44112. View

Barranco-Ruiz Y, Cruz Leon C, Villa-Gonzalez E, Palma Leal X, Chillon P, Rodriguez-Rodriguez F . Active Commuting to University and its Association with Sociodemographic Factors and Physical Activity Levels in Chilean Students. Medicina (Kaunas). 2019; 55(5). PMC: 6571990. DOI: 10.3390/medicina55050152. View

Gulati M, Black H, Shaw L, Arnsdorf M, Merz C, Lauer M . The prognostic value of a nomogram for exercise capacity in women. N Engl J Med. 2005; 353(5):468-75. DOI: 10.1056/NEJMoa044154. View

Katewongsa P, Widyastari D, Haemathulin N, Khanawapee A, Penmai S . Recovery shape of physical activity after COVID-19 pandemic. J Sport Health Sci. 2023; 12(4):501-512. PMC: 9977470. DOI: 10.1016/j.jshs.2023.02.007. View

Craig C, Marshall A, Sjostrom M, Bauman A, Booth M, Ainsworth B . International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003; 35(8):1381-95. DOI: 10.1249/01.MSS.0000078924.61453.FB. View

Alvarez C, Guzman-Guzman I, Latorre-Roman P, Parraga-Montilla J, Palomino-Devia C, Reyes-Oyola F . Association between the Sociodemographic Characteristics of Parents with Health-Related and Lifestyle Markers of Children in Three Different Spanish-Speaking Countries: An Inter-Continental Study at OECD Country Level. Nutrients. 2021; 13(8). PMC: 8402068. DOI: 10.3390/nu13082672. View

Wennman H, Pietila A, Rissanen H, Valkeinen H, Partonen T, Maki-Opas T . Gender, age and socioeconomic variation in 24-hour physical activity by wrist-worn accelerometers: the FinHealth 2017 Survey. Sci Rep. 2019; 9(1):6534. PMC: 6483989. DOI: 10.1038/s41598-019-43007-x. View

Guzman-Munoz E, Concha-Cisternas Y, Onate-Barahona A, Lira-Cea C, Cigarroa-Cuevas I, Mendez-Rebolledo G . [Factors associated with low quality of life in Chilean adults during the COVID-19 quarantine]. Rev Med Chil. 2021; 148(12):1759-1766. DOI: 10.4067/S0034-98872020001201759. View

10.

Li W, Procter-Gray E, Churchill L, Crouter S, Kane K, Tian J . Gender and Age Differences in Levels, Types and Locations of Physical Activity among Older Adults Living in Car-Dependent Neighborhoods. J Frailty Aging. 2017; 6(3):129-135. PMC: 5612373. DOI: 10.14283/jfa.2017.15. View

11.

Puciato D . Sociodemographic Associations of Physical Activity in People of Working Age. Int J Environ Res Public Health. 2019; 16(12). PMC: 6617081. DOI: 10.3390/ijerph16122134. View

12.

Guthold R, Willumsen J, Bull F . What is driving gender inequalities in physical activity among adolescents?. J Sport Health Sci. 2022; 11(4):424-426. PMC: 9338329. DOI: 10.1016/j.jshs.2022.02.003. View

13.

Arnett J . Emerging adulthood. A theory of development from the late teens through the twenties. Am Psychol. 2000; 55(5):469-80. View

14.

Takagi D, Nishida Y, Fujita D . Age-associated changes in the level of physical activity in elderly adults. J Phys Ther Sci. 2016; 27(12):3685-7. PMC: 4713771. DOI: 10.1589/jpts.27.3685. View

15.

Kruger A, Wissing M, Towers G, Doak C . Sex differences independent of other psycho-sociodemographic factors as a predictor of body mass index in black South African adults. J Health Popul Nutr. 2012; 30(1):56-65. PMC: 3312360. DOI: 10.3329/jhpn.v30i1.11277. View

16.

Koohsari M, Nakaya T, McCormack G, Shibata A, Ishii K, Oka K . Changes in Workers' Sedentary and Physical Activity Behaviors in Response to the COVID-19 Pandemic and Their Relationships With Fatigue: Longitudinal Online Study. JMIR Public Health Surveill. 2021; 7(3):e26293. PMC: 8006899. DOI: 10.2196/26293. View

17.

Ferrari G, Kovalskys I, Fisberg M, Gomez G, Rigotti A, Cortes Sanabria L . Original research Socio-demographic patterning of self-reported physical activity and sitting time in Latin American countries: findings from ELANS. BMC Public Health. 2019; 19(1):1723. PMC: 6929436. DOI: 10.1186/s12889-019-8048-7. View

18.

Del Duca G, Nahas M, Garcia L, Mota J, Hallal P, Peres M . Prevalence and sociodemographic correlates of all domains of physical activity in Brazilian adults. Prev Med. 2012; 56(2):99-102. DOI: 10.1016/j.ypmed.2012.11.007. View

19.

Mesters I, Wahl S, van Keulen H . Socio-demographic, medical and social-cognitive correlates of physical activity behavior among older adults (45-70 years): a cross-sectional study. BMC Public Health. 2014; 14:647. PMC: 4089561. DOI: 10.1186/1471-2458-14-647. View

20.

Sanchez Castillo S, Smith L, Diaz Suarez A, Lopez Sanchez G . Physical Activity Behaviour in People with COPD Residing in Spain: A Cross-Sectional Analysis. Lung. 2019; 197(6):769-775. DOI: 10.1007/s00408-019-00287-4. View