Skip to main content
Log in

Immediate and Intermediate-Term Effects of Disease Mitigation Measures on Activity Levels as Measured by Implantable Cardiac Devices

  • Research
  • Published:
Pediatric Cardiology Aims and scope Submit manuscript

Abstract

Routine activities of daily living are known to effect overall wellbeing, cardiovascular health, and quality of life. A decrease in daily activity level is recognized as a contributing factor to increasing rates of obesity and a decline in overall health. This study sought to evaluate the effect of disease mitigation strategies on activity level by evaluating changes in recorded cardiac parameters as measured by implantable cardiac devices for a period of time prior to and following implementation of COVID-19 mitigation efforts in Arizona. A retrospective cohort study of cardiac device data from January 1, 2019–December 31, 2020 was performed. Linear mixed-effects models with restricted maximum likelihood estimation were utilized to test for the fixed effects of Year, day, and the interaction between them. A significant decrease in daily activity minutes, daytime heart rates, and heart rate variability coincident with the initiation of disease mitigation strategies was observed. An increase in nighttime heart rates also coincided with initiation of disease mitigation strategies. These effects were noted to persist through the end of the study period. Implementation of statewide disease mitigation strategies resulted in both immediate and intermediate-term effects on activity levels, day and nighttime heart rates trends, and heart rate variability in patients with implanted cardiac devices. These data may serve useful in counseling patients regarding the importance of activity, movement, and exercise to routine health and encourage a return to pre-pandemic levels of activity.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  1. Brooks N (2017) Health and exercise in the community. In: Bonner A (ed) Social determinants of health: an interdisciplinary approach to social inequality and wellbeing. Bristol University Press, Bristol, pp 87–102

    Chapter  Google Scholar 

  2. Morris CJ, Purvis TE, Hu K, Scheer FA (2016) Circadian misalignment increases cardiovascular disease risk factors in humans. Proc Natl Acad Sci 113(10):E1402–E1411. https://doi.org/10.1073/pnas.1516953113

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Bertisch SM, Pollock BD, Mittleman MA, Buysse DJ, Bazzano LA, Gottlieb DJ, Redline S (2018) Insomnia with objective short sleep duration and risk of incident cardiovascular disease and all-cause mortality: sleep heart health study. Sleep 41(6):1–9. https://doi.org/10.1093/sleep/zsy047

    Article  Google Scholar 

  4. Castañeda-Babarro A, Arbillaga-Etxarri A, Gutiérrez-Santamaría B, Coca A (2020) Physical activity change during COVID-19 confinement. Int J Environ Res Public Health 17(18):6878. https://doi.org/10.3390/ijerph17186878

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Bourdas DI, Zacharakis ED (2020) Impact of COVID-19 lockdown on physical activity in a sample of Greek adults. Sports (Basel) 8(10):139. https://doi.org/10.3390/sports8100139

    Article  PubMed  Google Scholar 

  6. Constandt B, Thibaut E, De Bosscher V, Scheerder J, Ricour M, Willem A (2020) Exercising in times of lockdown: an analysis of the impact of COVID-19 on levels and patterns of exercise among adults in Belgium. Int J Environ Res Public Health 17(11):4144. https://doi.org/10.3390/ijerph17114144

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Gallè F, Sabella EA, Ferracuti S, De Giglio O, Caggiano G, Protano C, Valeriani F, Parisi EA, Valerio G, Liguori G, Montagna MT, Romano Spica V, Da Molin G, Orsi GB, Napoli C (2020) Sedentary behaviors and physical activity of Italian undergraduate students during lockdown at the time of CoViD-19 pandemic. Int J Environ Res Public Health 17(17):6171. https://doi.org/10.3390/ijerph17176171

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Tornaghi M, Lovecchio N, Vandoni M, Chirico A, Codella R (2020) Physical activity levels across COVID-19 outbreak in youngsters of Northwestern Lombardy. J Sports Med Phys Fitness. https://doi.org/10.23736/S0022-4707.20.11600-1

    Article  PubMed  Google Scholar 

  9. Hemphill NM, Kuan MTY, Harris KC (2020) Reduced physical activity during COVID-19 pandemic in children with congenital heart disease. Can J Cardiol 36(7):1130–1134. https://doi.org/10.1016/j.cjca.2020.04.038

    Article  PubMed  Google Scholar 

  10. Mazzella AJ, Gehi AK, Lampert R, Buck S, Rosman L (2021) Effects of COVID-19 pandemic on physical activity in children and young adults with implanted devices. Heart Rhythm. https://doi.org/10.1016/j.hrthm.2021.09.037

    Article  PubMed  PubMed Central  Google Scholar 

  11. R Core Team (2019) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna. https://www.R-project.org/

  12. RStudio Team (2020) RStudio: Integrated Development for R. RStudio, PBC, Boston http://www.rstudio.com/.

  13. Pinheiro J, Bates D, DebRoy S, Sarkar D, R Core Team (2021) nlme: Linear and Nonlinear Mixed Effects Models. R package version 3.1–152, https://CRAN.R-project.org/package=nlme

  14. Kuznetsova A, Brockhoff PB, Christensen RHB (2017) lmerTest package: tests in linear mixed effects models. J Stat Softw 82(13):1–26. https://doi.org/10.18637/jss.v082.i13

    Article  Google Scholar 

  15. Lenth RV (2022). emmeans: estimated marginal means, aka least-squares means. R package version 1.7.5. https://CRAN.R-project.org/package=emmeans

  16. Wickham H (2016) ggplot2: elegant graphics for data analysis. Springer, New York

    Book  Google Scholar 

  17. Wickham H, François R, Henry L, Müller K (2021). dplyr: a grammar of data manipulation. R package version 1.0.6. https://CRAN.R-project.org/package=dplyr

  18. Wagner AL, Keusch F, Yan T, Clarke PJ (2019) The impact of weather on summer and winter exercise behaviors. J Sport Health Sci 8(1):39–45. https://doi.org/10.1016/j.jshs.2016.07.007

    Article  PubMed  Google Scholar 

  19. Lanza K, Gohlke J, Wang S, Sheffield PE, Wilhelmi O (2022) Climate change and physical activity: ambient temperature and urban trail use in texas. Int J Biometeorol 66(8):1575–1588. https://doi.org/10.1007/s00484-022-02302-5

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Contributions

TH conceptualized and designed the study, collected data, drafted the initial manuscript, and critically reviewed and revised the manuscript. BS designed the data collection instruments, carried out the initial analyses, and critically reviewed and revised the manuscript. AP conceptualized and designed the study, coordinated and supervised data collection, and critically reviewed and revised the manuscript for important intellectual content. All authors approved the final manuscript as submitted and agree to be accountable for all aspects of the work.

Corresponding author

Correspondence to Tiffany R. Hamilton.

Ethics declarations

Conflict of interest

The authors have no conflicts of interest relevant to this article to disclose. No funds, grants, or other support was received for this research. The authors have no relevant financial or non-financial interests to disclose.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 22 kb)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hamilton, T.R., Sussman, B.L. & Papez, A.L. Immediate and Intermediate-Term Effects of Disease Mitigation Measures on Activity Levels as Measured by Implantable Cardiac Devices. Pediatr Cardiol 45, 48–54 (2024). https://doi.org/10.1007/s00246-023-03307-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00246-023-03307-6

Keywords

Navigation