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Cited by 17Physical Activity and HealthRecreational Sport and Physical ActivityRecreation, Leisure, Wilderness Management

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Mood profile in men and women of all ages is improved by leisure-time physical activity rather than work-related physical activity

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Skurvydas, Albertas, Istomina, Natalja, Dadeliene, Ruta, Majauskiene, Daiva, Strazdaite, Emilija, Lisinskiene, Ausra, Valanciene, Dovile, Uspuriene, Aiste Barbora, Sarkauskiene, Asta·2024·BMC Public Health
DOI 10.1186/s12889-024-17806-5PMC PMC10882751

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Abstract

Background: The aim of our study was to determine how six mood indicators (vigour, fatigue, depression, anger, confusion, tension) depend on moderate to vigorous physical activity, walking time and sedentary time at work, after working hours and during leisure time, in men and women of different age groups. Methods: A total of 1,140 individuals aged 18 to 64 years participated in the study. The participants were enrolled in this cross-sectional survey using a snowball sampling method. An online questionnaire was shared through popular social networks and emails within the period October 2019 to June 2020. Mood responses were assessed using The Brunel Mood Scale-LTU. Physical activity was assessed using the long International Physical Activity Questionnaire. Descriptive analysis, a two-way analysis of variance, and linear regression analysis were used to interpret the data. Results: The survey results showed that vigour and fatigue correlated significantly only with leisure-time moderate to vigorous physical activity. The present results show a significant positive correlation between women and men moods and leisure-time moderate to vigorous physical activity, the length of time walking to work and back home, and negative correlation between moods and leisure-time sedentary behaviour. However, there was no significant correlation between moods and work-related moderate to vigorous physical activity and household moderate to vigorous physical activity, walking at work, and sitting duration at work. Conclusions: This study provides theoretical implications of the physical activity paradox, justifying the benefits of moderate to vigorous physical activity practiced in different circumstances. According to the regression analysis, exercising men in all age groups moved the most (had a higher moderate to vigorous physical activity level) during leisure time, the highest work-related moderate to vigorous physical activity was observed in men and women with lower education, and the highest household moderate to vigorous physical activity was observed in older age men and women living in rural areas. Clinicians and leaders at all levels of health care should consider the greater importance of leisure-time physical activity for mental health when choosing the most targeted physical activity recommendations for mood profile improvement in men and women of different age groups.

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Fig. 1 BMI structure (A) and the average (σ) descriptive data of mood variables (B). *p < 0.01 between women and men
Fig. 1 BMI structure (A) and the average (σ) descriptive data of mood variables (B). *p < 0.01 between women and menCC BY · PubMed Central
Fig. 2 Correlation of mood variables with MVPAlt (A, D), MVPAw (B, E) and MVPAh (C, F). *p < 0.05, compared to 0 and 0–300 min/week
Fig. 2 Correlation of mood variables with MVPAlt (A, D), MVPAw (B, E) and MVPAh (C, F). *p < 0.05, compared to 0 and 0–300 min/weekCC BY · PubMed Central

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References 29 · Cited by 17

Research works printed but not linked: 27

  1. Chekroud SR, Gueorguieva R, Zheutlin AB, et al. Association between physical exercise and mental health in 1·2 million individuals in the USA between 2011 and 2015: a cross-sectional study. Lancet Psychiatry. 2018;5(9):739–46. · DOI · Paper page
  2. García-Soidán JL, Leirós-Rodríguez R, Romo-Pérez V, Arufe-Giráldez V. Evolution of the habits of physical activity and television viewing in Spanish children and pre-adolescents between 1997 and 2017. Int J Environ Res Public Health. 2020;17(18):6836. · DOI
  3. Gross JJ, Uusberg H, Uusberg A. Mental illness and well-being: an affect regulation perspective. World Psychiatry. 2019;18(2):130–9. · DOI
  4. Gataūlinas A. Subjective well-being of Lithuanian society in the context of European Union countries. Vilnius: Vilniaus Universitetas; 2013.
  5. Terry PC, Skurvydas A, Lisinskiene A, et al. Validation of a Lithuanian-Language Version of the Brunel Mood Scale: the BRUMS-LTU. Int J Environ Res Public Health. 2022a;19(8):4867. · DOI
  6. Terry PC, Parsons-Smith RL, Skurvydas A, et al. Physical activity and healthy habits Influence Mood Profile clusters in a Lithuanian Population. Sustainability. 2022b;14:10006. · DOI
  7. Sties SW, Gonzáles AI, Netto AS, et al. Validation of the Brunel Mood Scale for cardiac rehabilitation program. Brazil J Sports Med. 2014;20:281–4.
  8. Brandt R, Herrero D, Massetti T, et al. The Brunel Mood Scale rating in mental health for physically active and apparently healthy populations. Health. 2016;8:125–32. · DOI
  9. LeUnes A, Burger J. Profile of Mood States research in sport and exercise psychology: past, present, and future. J Appl Sport Psychol. 2000;12:5–15. · DOI
  10. Terry PC, Parsons-Smith RL, King R, et al. Influence of sex, age, and education on mood profile clusters. PLoS ONE. 2021;16:e0245341. · DOI
  11. Holtermann A, Hansen JV, Burr H, et al. The health paradox of occupational and leisure-time physical activity. Br J Sports Med. 2012;46(4):291–5. · DOI
  12. Richard A, Martin B, Wanner M, et al. Effects of leisure-time and occupational physical activity on total mortality risk in NHANES III according to sex, ethnicity, central obesity, and age. J Phys Act Health. 2015;12(2):184–92. · DOI
  13. Coenen P, Huysmans MA, Holtermann A, et al. Do highly physically active workers die early? A systematic review with meta-analysis of data from 193 696 participants. Br J Sports Med. 2018;52(20):1320–6. · DOI · Paper page
  14. Coenen P, Huysmans MA, Holtermann A, et al. Towards a better understanding of the ‘physical activity paradox’: the need for a research agenda. Br J Sports Med. 2020;54(17):1055–7. · DOI
  15. Cillekens B, Lang M, van Mechelen W, et al. How does occupational physical activity influence health? An umbrella review of 23 health outcomes across 158 observational studies. Br J Sports Med. 2020;54(24):1474–81. · DOI
  16. Johansson MS, Holtermann A, Marott JL, et al. The physical activity health paradox and risk factors for cardiovascular disease: a cross-sectional compositional data analysis in the Copenhagen City Heart Study. PLoS ONE. 2022;17(4):e0267427. · DOI
  17. Cillekens B, Huysmans MA, Holtermann A, et al. Physical activity at work may not be health enhancing. A systematic review with meta-analysis on the association between occupational physical activity and cardiovascular disease mortality covering 23 studies with 655 892 participants. Scand J Work Environ Health. 2022;48(2):86–98. · DOI
  18. Janssen TI, Voelcker-Rehage C. Leisure-time physical activity, occupational physical activity and the physical activity paradox in healthcare workers: a systematic overview of the literature. Int J Nurs Stud. 2023;141:104470. · DOI
  19. Luo M, Gupta N, Holtermann A, et al. Revisiting the ‘physical activity paradox’ in a Chinese context: occupational physical activity and mortality in 142,302 urban working adults from the China Kadoorie Biobank study. Lancet Reg Health West Pac. 2022;23:100457. · DOI
  20. Holtermann A, Krause N, van der Beek AJ, et al. The physical activity paradox: six reasons why occupational physical activity (OPA) does not confer the cardiovascular health benefits that leisure time physical activity does. Br J Sports Med. 2018;52(3):149–50. · DOI · Paper page
  21. Dalene KE, Tarp J, Selmer RM, et al. Occupational physical activity and longevity in working men and women in Norway: a prospective cohort study. Lancet Public Health. 2021;6(6):e386–95. · DOI
  22. Prince SA, Rasmussen CL, Biswas A, et al. The effect of leisure time physical activity and sedentary behaviour on the health of workers with different occupational physical activity demands: a systematic review. Int J Behav Nutr Phys Act. 2021;18(1):100. · DOI
  23. Craig CL, Marshall AL, Sjostrom M, et al. International Physical Activity Questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003;35:1381–95. · DOI · Paper page
  24. Bassett DR Jr. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003;35(8):1396. · DOI
  25. Skurvydas A, Lisinskiene A, Lochbaum M, et al. Physical activity, stress, Depression, Emotional Intelligence, logical thinking, and overall health in a large Lithuanian from October 2019 to June 2020: age and gender differences adult sample. Int J Environ Res Public Health. 2021;18(23):12809. · DOI
  26. Skurvydas A, Lisinskiene A, Majauskiene D, et al. What types of Exercise are best for Emotional Intelligence and Logical thinking? Int J Environ Res Public Health. 2022;19(16):10076. · DOI
  27. García-Soidán JL, Boente Antela B, Leirós Rodríguez R. ¿Los menores españoles, en su tiempo libre, prefieren dispositivos electrónicos o actividad física? Sportis Sci J. 2020;6(2):347–64. · DOI

Metadata

Authors
Skurvydas, A., Istomina, N., Dadeliene, R., Majauskiene, D., Strazdaite, E., Lisinskiene, A., Valanciene, D., Uspuriene, A. B., & Sarkauskiene, A.
Affiliations
Vilnius University (LT)
ORCID
Skurvydas, Albertas
Venue
BMC Public Health
Publisher
Springer Science and Business Media LLC
Published
2024-02-21
Volume
24
Issue
1
Pages
546-546
ISSN
1471-2458 (ISSN-L)
DOI
10.1186/s12889-024-17806-5
PMC
PMC10882751
OpenAlex
W4391991440
Cited by
17
References
29
Citations by year
2026: 6 · 2025: 8 · 2024: 3
FWCI
4.84
Type
journal article
Language
en
Open access
Licence
Locations
  • BMC Public Health (publishedVersion, cc-by)
  • Research Square (acceptedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
  • Vytautas Magnus University (submittedVersion, cc-by)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
  • Social Sciences › Life-span and Life-course Studies › Recreational Sport and Physical Activity
  • Social Sciences › Business, Management and Accounting › Tourism, Leisure and Hospitality Management › Recreation, Leisure, Wilderness Management
Keywords
mood, leisure-time physical activity, work-related physical activity, sedentary behavior, vigor, fatigue, depression, anger, confusion, tension, walking to work, mental health, sex differences, age differences, household physical activity, educational attainment, rural residence
MeSH terms
Cross-Sectional Studies, Fatigue, Female, Humans, Leisure Activities, Male, Motor Activity, Exercise

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CoChat. (2026). Citation check: Mood profile in men and women of all ages is improved by leisure-time physical activity rather than work-related physical activity. https://app.cochat.ai/papers/10.1186/s12889-024-17806-5
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Skurvydas, A., Istomina, N., Dadeliene, R., Majauskiene, D., Strazdaite, E., Lisinskiene, A., Valanciene, D., Uspuriene, A. B., & Sarkauskiene, A. (2024). Mood profile in men and women of all ages is improved by leisure-time physical activity rather than work-related physical activity. BMC Public Health. https://doi.org/10.1186/s12889-024-17806-5