» Articles » PMID: 34000007

Prevalence and Correlates of Physical Inactivity in Adults Across 28 European Countries

Overview
Specialty Public Health
Date 2021 May 17
PMID 34000007
Citations 32
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Physical activity/inactivity is impacted by a plethora of intertwined factors. There are a limited number of studies on physical activity/inactivity that provide a European cross-country perspective. This study aims to present the prevalence and correlates of physical activity in adults across the 28 European Union (EU) member states.

Methods: This is a secondary dataset analysis of the Special Eurobarometer 472 data on physical activity. The cross-sectional survey was conducted during December 2-11 in 2017 across 28 European countries. The data consisted of ∼1000 respondents aged ≧15 years per country. The current analysis was restricted to adults aged 18-64 years (n = 19 645).

Results: More than one in three (36.2%, 95% CI: 35.1-37.3) adults in the EU were physically inactive, with substantial cross-country differences noted. Women were less likely than men to be adequately or highly physically active (aOR: 0.86, 95% CI: 0.78-0.95). Similarly, adults at the age of 40-54 (aOR: 0.65, 95% CI: 0.52-0.81) and 55-64 (aOR: 0.61, 95% CI: 0.49-0.77) were less likely to have moderate or high levels of physical activity in comparison with those 18-24 years of age. Finally, high SES was positively associated with physical activity (aOR: 1.4, 95% CI: 1.16-1.69).

Conclusions: A notable percentage of adults in Europe are physically inactive. Further research is needed to elucidate the factors behind the cross-country differences and identify potential policy actions that may support adopting a physically active lifestyle and decrease the inequalities related to physical activity across Europe.

Citing Articles

Micro-gyms as a catalyst for healthy aging in university and healthcare settings: applications for the Semmelweis-EUniWell Workplace Health Promotion Model Program.

Mozes N, Arva D, Major D, Fekete M, Dosa N, Lehoczki A Geroscience. 2025; .

PMID: 40088392 DOI: 10.1007/s11357-025-01595-9.


On the Role of Core Exercises in Alleviating Muscular Fatigue Induced by Prolonged Sitting: A Scoping Review.

Amiri B, Behm D, Zemkova E Sports Med Open. 2025; 11(1):18.

PMID: 39982545 PMC: 11845640. DOI: 10.1186/s40798-025-00816-x.


Effects of practical models of low-volume high-intensity interval training on glycemic control and insulin resistance in adults: a systematic review and meta-analysis of randomized controlled studies.

Lu Y, Baker J, Ying S, Lu Y Front Endocrinol (Lausanne). 2025; 16:1481200.

PMID: 39917538 PMC: 11798773. DOI: 10.3389/fendo.2025.1481200.


A cross-sectional study of physical activity and chronic diseases among middle-aged and elderly in China.

Huang Y, Lu Z Sci Rep. 2024; 14(1):30701.

PMID: 39730392 PMC: 11680886. DOI: 10.1038/s41598-024-78360-z.


Effects of active video games on mental health among college students: a systematic review.

Zhao Y, Soh K, Saad H, Rong W, Liu C, Wang X BMC Public Health. 2024; 24(1):3482.

PMID: 39695572 PMC: 11658209. DOI: 10.1186/s12889-024-21011-9.


References
1.
Zaqout M, Vyncke K, Moreno L, De Miguel-Etayo P, Lauria F, Molnar D . Determinant factors of physical fitness in European children. Int J Public Health. 2016; 61(5):573-82. DOI: 10.1007/s00038-016-0811-2. View

2.
Gerovasili V, Agaku I, Vardavas C, Filippidis F . Levels of physical activity among adults 18-64 years old in 28 European countries. Prev Med. 2015; 81:87-91. DOI: 10.1016/j.ypmed.2015.08.005. View

3.
De Cocker K, Artero E, de Henauw S, Dietrich S, Gottrand F, Beghin L . Can differences in physical activity by socio-economic status in European adolescents be explained by differences in psychosocial correlates? A mediation analysis within the HELENA (Healthy Lifestyle in Europe by Nutrition in Adolescence) study. Public Health Nutr. 2012; 15(11):2100-9. PMC: 10271304. DOI: 10.1017/S1368980012001036. View

4.
Makinen T, Sippola R, Borodulin K, Rahkonen O, Kunst A, Klumbiene J . Explaining educational differences in leisure-time physical activity in Europe: the contribution of work-related factors. Scand J Med Sci Sports. 2010; 22(3):439-47. DOI: 10.1111/j.1600-0838.2010.01234.x. View

5.
Stahl T, Rutten A, Nutbeam D, Kannas L . The importance of policy orientation and environment on physical activity participation--a comparative analysis between Eastern Germany, Western Germany and Finland. Health Promot Int. 2002; 17(3):235-46. DOI: 10.1093/heapro/17.3.235. View