Sedentary Time and Prescription Medication Use Among US Adults: 2017–2018 National Health and Nutrition Examination Survey

in Journal of Physical Activity and Health

Click name to view affiliation

Ciarra A. Boyne Department of Clinical and Applied Movement Sciences, Brooks College of Health, University of North Florida, Jacksonville, FL, USA

Search for other papers by Ciarra A. Boyne in
Current site
Google Scholar
PubMed Close
https://orcid.org/0000-0003-0696-5674 *
,
Tammie M. Johnson Institute of Public Health, Florida Agricultural and Mechanical University, Tallahassee, FL, USA

Search for other papers by Tammie M. Johnson in
Current site
Google Scholar
PubMed Close
https://orcid.org/0000-0003-1857-1111
,
Lindsay P. Toth Department of Clinical and Applied Movement Sciences, Brooks College of Health, University of North Florida, Jacksonville, FL, USA

Search for other papers by Lindsay P. Toth in
Current site
Google Scholar
PubMed Close
https://orcid.org/0000-0001-5856-2012
,
M. Ryan Richardson Department of Clinical and Applied Movement Sciences, Brooks College of Health, University of North Florida, Jacksonville, FL, USA

Search for other papers by M. Ryan Richardson in
Current site
Google Scholar
PubMed Close
https://orcid.org/0000-0002-8038-2445
, and
James R. Churilla Department of Clinical and Applied Movement Sciences, Brooks College of Health, University of North Florida, Jacksonville, FL, USA

Search for other papers by James R. Churilla in
Current site
Google Scholar
PubMed Close
https://orcid.org/0000-0002-2802-7462
DOI:
https://doi.org/10.1123/jpah.2023-0022
Keywords:
sedentary behavior; sitting time; polypharmacy; drugs; population surveillance
First Published Online:
08 Jun 2023
Corrected:
28 Jun 2023
In Print:
Ahead of Print
Page Range:
1–5
ERRATUM TO THIS ARTICLE
Restricted access

Background: Prescription medication usage has been used as a predictor of disease prevalence and overall health status. Evidence suggests an inverse relationship exists between polypharmacy, which is the use of 5 or more medications, and physical activity participation. However, there is limited evidence examining the relationship between sedentary time and polypharmacy in adults. The aim of this study was to examine the associations between sedentary time and polypharmacy in a large nationally representative sample of US adults. Methods: Study sample (N = 2879) included nonpregnant adult (≥20 y old) participants from the 2017–2018 National Health and Nutrition Examination Survey. Self-reported minutes per day of sedentary time were converted to hours per day. The dependent variable was polypharmacy (≥5 medications). Results: Analysis revealed that for every hour of sedentary time, there was 4% greater odds of polypharmacy (odds ratio, 1.04; 95% confidence interval, 1.00–1.07, P = .04) after adjusting for age, race/ethnicity, education, waist circumference, and the interaction term between race/ethnicity and education. Conclusion: Our findings suggest increased sedentary time is associated with an increased risk of polypharmacy among a large nationally representative sample of US adults.

  • Collapse
  • Expand

Journal of Physical Activity and Health

Cover Journal of Physical Activity and Health
  • 1.

    Alves AJ, Viana JL, Cavalcante SL, et al. Physical activity in primary and secondary prevention of cardiovascular disease: overview updated. World J Cardiol. 2016;8(10):575–583. PubMed ID: 27847558 doi:

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 2.

    Du Y, Liu B, Sun Y, Snetselaar LG, Wallace RB, Bao W. Trends in adherence to the Physical Activity Guidelines for Americans for aerobic activity and time spent on sedentary behavior among US adults, 2007 to 2016. JAMA Netw Open. 2019;2(7):e197597. doi:

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 3.

    Yang L, Cao C, Kantor ED, et al. Trends in sedentary behavior among the US population, 2001–2016. J Am Med Assoc. 2019;321(16):1587–1597. doi:

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 4.

    Panahi S, Tremblay A. Sedentariness and health: is sedentary behavior more than just physical inactivity? Front Public Health. 2018;6:258. PubMed ID: 30250838 doi:.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 5.

    Katzmarzyk PT, Church TS, Craig CL, Bouchard C. Sitting time and mortality from all causes, cardiovascular disease, and cancer. Med Sci Sports Exer. 2009; 41(5):998–1005. doi:

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 6.

    U.S. Department of Health and Human Services. Physical Activity Guidelines for Americans. 2nd ed. U.S. Department of Health and Human Services; 2018.

    • Search Google Scholar
    • Export Citation
  • 7.

    Tremblay MS, Aubert S, Barnes JD, et al. Sedentary behavior research network (SBRN)—terminology consensus project process and outcome. Int J Behav Nutr Phys Act. 2017;14(1):75. PubMed ID: 28599680 doi:

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 8.

    Hales CM, Servais J, Martin CB, Kohen D. Prescription drug use among adults aged 40–79 in the United States and Canada. NCHS Data Brief. 2019;347:1–8.

    • Search Google Scholar
    • Export Citation
  • 9.

    Kantor ED, Rehm CD, Haas JS, Chan AT, Giovannucci EL. Trends in prescription drug use among adults in the United States from 1999–2012. J Am Med Assoc. 2015;314(17):1818–1830. doi:

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 10.

    Mair A. Medication Safety in Polypharmacy. WHO Technical Report; 2019.

  • 11.

    Pazan F, Wehling M. Polypharmacy in older adults: a narrative review of definitions, epidemiology and consequences. Eur Geriatr Med. 2021;12(3):443–452. PubMed ID: 33694123 doi:

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 12.

    Masnoon N, Shakib S, Kalisch-Ellett L, Caughey GE. What is polypharmacy? A systematic review of definitions. BMC Geriatr. 2017;17(1):230. PubMed ID: 29017448 doi:

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 13.

    Khezrian M, McNeil CJ, Murray AD, Myint PK. An overview of prevalence, determinants and health outcomes of polypharmacy. Ther Adv Drug Saf. 2020;11:2042098620933741. doi:

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 14.

    Neutel CI. Drug utilization patterns as indicators. Pharmacoepidemiol Drug Saf. 1998;7(2):131–133. PubMed ID: 15073739 doi:

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 15.

    Bertoldi AD, Hallal PC, Barros AJD. Physical activity and medicine use: evidence from a population-based study. BMC Public Health. 2006;6(1):224. doi:

  • 16.

    Silva LJd, Azevedo MR, Matsudo S, Lopes GS. Association between levels of physical activity and use of medication among older women. Cadernos de Saúde Pública. 2012;28(3):463–471. PubMed ID: 22415178 doi:

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 17.

    Centers for Disease Control and Prevention—National Center for Health Statistics. National Health and Nutrition Examination Survey Data. U.S. Department of Health and Human Services, Centers for Disease Control and Prevention; 2017–2018.

    • Search Google Scholar
    • Export Citation
  • 18.

    Statistical Analysis System (SAS) Institute Inc. Base SAS 9.4 Procedures Guide. SAS Institute Inc.; 2016.

  • 19.

    Healy GN, Clark BK, Winkler EAH, Gardiner PA, Brown WJ, Matthews CE. Measurement of adults’ sedentary time in population-based studies. Am J Prev Med. 2011;41(2):216–227. PubMed ID: 21767730 doi:

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 20.

    World Health Organization. Waist circumference and waist-hip ratio: Report of a WHO expert consultation. World Health Organization; 2011.

    • Search Google Scholar
    • Export Citation
  • 21.

    Kelly NA, Soroka O, Onyebeke C, et al. Association of healthy lifestyle and all-cause mortality according to medication burden. J Am Geriatr Soc. 2022;70(2):415–428. PubMed ID: 34695226 doi:

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 22.

    World Health Organization. Multimorbidity: Technical Series on Safer Primary Care. World Health Organization; 2016.

  • 23.

    Chowdhury SR, Chandra Das D, Sunna TC, et al. Global and regional prevalence of multimorbidity in the adult population in community settings: a systematic review and meta-analysis. eClinicalMedicine. 2023;57:101860. PubMed ID: 36864977 doi:

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 24.

    Marques PDP, Assumpção D, Rezende R, Neri AL, Francisco PMSB. Polypharmacy in community-based older adults: results of the fibra study. Rev Esp Geriatr Gerontol. 2019;22(5). doi:

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 25.

    Silveira EA, Dalastra L, Pagotto V. Polypharmacy, chronic diseases and nutritional markers in community-dwelling older. Rev Bras Epidemiol. 2014;17(4):818–829. PubMed ID: 25388483 doi:

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 26.

    Darsini D, Hamidah H, Notobroto HB, Cahyono EA. Health risks associated with high waist circumference: a systematic review. J Public Health Res. 2020;9(2):1811. PubMed ID: 32728557 doi:

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 27.

    Barkley JE, Lepp A, Salehi-Esfahani S. College students’ mobile telephone use is positively associated with sedentary behavior. Am J Lifestyle Med. 2016;10(6):437–441. PubMed ID: 30202304 doi:

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 28.

    Alley S, Wellens P, Schoeppe S, et al. Impact of increasing social media use on sitting time and body mass index. Health Promot J Australia. 2017;28(2):91–95. doi:

    • Crossref
    • Search Google Scholar
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 370 370 208
Full Text Views 9 9 2
PDF Downloads 16 16 4