Journal of Preventive Medicine and Public Health

  • 제50권1호
  • /
  • Pages.10-17
  • /
  • 2017
  • /
  • 1975-8375(pISSN)
  • /
  • 2233-4521(eISSN)
대한예방의학회 (The Korean Society for Preventive Medicine)
권호 표지
DOI QR코드

DOI QR Code

Meeting Recommended Levels of Physical Activity in Relation to Preventive Health Behavior and Health Status Among Adults

  • Hart, Peter D. (Health Promotion Program, Montana State University-Northern) ;
  • Benavidez, Gabriel (Health Promotion Program, Montana State University-Northern) ;
  • Erickson, James (Health Promotion Program, Montana State University-Northern)
  • 투고 : 2016.08.26
  • 심사 : 2016.12.02
  • 발행 : 2017.01.31
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

Objectives: The purpose of this study was to examine the relationship of meeting the recommended levels of physical activity (PA) with health status and preventive health behavior in adults. Methods: A total of 5630 adults 18 years of age or older were included in this study. PA was assessed using a series of questions that categorized activities based on their metabolic equivalent values and then categorized individuals based on the reported frequency and duration of such activities. Participants reporting 150 minutes or more of moderate-intensity PA per week were considered to have met the PA guidelines. Multiple logistic regression was used to model the relationships between meeting PA guidelines and health status and preventive health behavior, while controlling for confounding variables. Results: Overall, 53.9% (95% confidence interval [CI], 51.9 to 55.9%) of adults reported meeting the recommended levels of PA. Among adults with good general health, 56.9% (95% CI, 54.7 to 59.1%) reported meeting the recommended levels of PA versus 43.1% (95% CI, 40.9 to 45.3%) who did not. Adults who met the PA guidelines were significantly more likely not to report high cholesterol, diabetes, chronic obstructive pulmonary disease, arthritis, asthma, depression, or overweight. Furthermore, adults meeting the PA guidelines were significantly more likely to report having health insurance, consuming fruits daily, consuming vegetables daily, and not being a current cigarette smoker. Conclusions: In this study, we found meeting the current guidelines for PA to have a protective relationship with both health status and health behavior in adults. Health promotion programs should focus on strategies that help individuals meet the current guidelines of at least 150 minutes per week of moderate-intensity PA.

키워드

참고문헌

  1. National Center for Health Statistics. Health, United States, 2015 with special feature on racial and ethnic health disparities [cited 2016 Dec 27]. Available from: https://www.cdc.gov/nchs/data/hus/hus15.pdf.
  2. Centers for Disease Control and Prevention. Chronic disease prevention and health promotion: chronic disease overview [cited 2016 Dec 27]. Available from: https://www.cdc.gov/chronicdisease/overview/index.htm.
  3. Garber CE, Blissmer B, Deschenes MR, Franklin BA, Lamonte MJ, Lee IM, et al. American College of Sports Medicine position stand. Quantity and quality of exercise for developing and maintaining cardiorespiratory, musculoskeletal, and neuromotor fitness in apparently healthy adults: guidance for prescribing exercise. Med Sci Sports Exerc 2011;43(7):1334-1359. https://doi.org/10.1249/MSS.0b013e318213fefb
  4. US Department of Health and Human Services. 2008 Physical activity guidelines for americans fact sheet for health professionals on physical activity guidelines for adults [cited 2016 Dec 27]. Available from: https://www.cdc.gov/physicalactivity/downloads/pa_fact_sheet_adults.pdf.
  5. US Department of Health and Human Services. Developing healthy people 2020 [cited 2016 Dec 27]. Available from: http://www.healthypeople.gov/2010/hp2020/Comments/default.asp.
  6. Sun K, Song J, Manheim LM, Chang RW, Kwoh KC, Semanik PA, et al. Relationship of meeting physical activity guidelines with quality-adjusted life-years. Semin Arthritis Rheum 2014;44(3):264-270. https://doi.org/10.1016/j.semarthrit.2014.06.002
  7. Hart PD. Meeting recommended levels of physical activity and health-related quality of life in rural adults. J Lifestyle Med 2016;6(1):1-6. https://doi.org/10.15280/jlm.2016.6.1.1
  8. National Center for Chronic Disease Prevention and Health Promotion. Behavioral Risk Factor Surveillance System: prevalence data & data analysis tools [cited 2017 Jan 5]. Available from: https://www.cdc.gov/brfss/data_tools.htm.
  9. Centers for Disease Control and Prevention. Behavioral Risk Factor Surveillance System: overview: BRFSS 2013; 2014 [cited 2017 Jan 5]. Available from: https://www.cdc.gov/brfss/annual_data/2013/pdf/overview_2013.pdf.
  10. Centers for Disease Control and Prevention. A data users guide to the BRFSS physical activity questions: how to assess the 2008 physical activity guidelines for Americans [cited 2016 Dec 27]. Available from: http://www.cdc.gov/brfss/pdf/PA%20RotatingCore_BRFSSGuide_508Comp_07252013FINAL.pdf.
  11. Ainsworth BE, Haskell WL, Herrmann SD, Meckes N, Bassett DR Jr, Tudor-Locke C, et al. 2011 Compendium of Physical Activities: a second update of codes and MET values. Med Sci Sports Exerc 2011;43(8):1575-1581. https://doi.org/10.1249/MSS.0b013e31821ece12
  12. Centers for Disease Control and Prevention. Calculated variables in the data file of the 2013 behavioral Risk Factor Surveillance System; 2014 [cited 2017 Jan 5]. Available from: https://www.cdc.gov/brfss/annual_data/2013/pdf/2013_calculated_variables_version15.pdf.
  13. World Health Organization. BMI classification [cited 2016 Aug 26]. Available from: http://apps.who.int/bmi/index.jsp?introPage=intro_3.html.
  14. Moriarty DG, Zack MM, Kobau R. The Centers for Disease Control and Prevention's Healthy Days Measures: population tracking of perceived physical and mental health over time. Health Qual Life Outcomes 2003;1:37. https://doi.org/10.1186/1477-7525-1-37
  15. Centers for Disease Control and Prevention. Behavioral Risk Factor Surveillance System: 2013 codebook report: land-line and cell-phone data; 2014 [cited 2017 Jan 5]. Available from: https://www.cdc.gov/brfss/annual_data/2013/pdf/codebook13_llcp.pdf.
  16. Agresti A, Kateri M. Categorical data analysis. Berlin: Springer; 2011, p. 163-195.
  17. Tabachnick BG, Fidell LS. Using multivariate statistics. 5th ed. Boston: Allyn & Bacon; 2007, p. 439-484.
  18. Stokes ME, Davis CS, Koch GG. Categorical data analysis using SAS. Cary: SAS institute; 2012, p. 189-258.
  19. SAS Institute. Base SAS 9.4 procedures guide: statistical procedures; 2014 [cited 2016 Dec 27]. Available from: https://support.sas.com/documentation/cdl/en/procstat/67528/PDF/default/procstat.pdf.
  20. IBM Corporation. IBM SPSS complex samples: correctly compute complex samples statistics [cited 2017 Jan 5]. Available from: http://www-01.ibm.com/common/ssi/cgi-bin/ssialias?htmlfid=YTD03116USEN&appname=skmwww.
  21. Matsuzawa R, Matsunaga A, Kutsuna T, Ishii A, Abe Y, Yoneki K, et al. Association of habitual physical activity measured by an accelerometer with high-density lipoprotein cholesterol levels in maintenance hemodialysis patients. ScientificWorld-Journal 2013;2013:780783.
  22. Cloostermans L, Wendel-Vos W, Doornbos G, Howard B, Craig CL, Kivimaki M, et al. Independent and combined effects of physical activity and body mass index on the development of type 2 diabetes: a meta-analysis of 9 prospective cohort studies. Int J Behav Nutr Phys Act 2015;12:147. https://doi.org/10.1186/s12966-015-0304-3
  23. Rosner B. Fundamentals of biostatistics. 7th ed. Boston: Cengage Learning; 2011, p. 628-657.
  24. Lopes AA, Lantz B, Morgenstern H, Wang M, Bieber BA, Gillespie BW, et al. Associations of self-reported physical activity types and levels with quality of life, depression symptoms, and mortality in hemodialysis patients: the DOPPS. Clin J Am Soc Nephrol 2014;9(10):1702-1712. https://doi.org/10.2215/CJN.12371213
  25. Loprinzi PD. Association between accelerometer-determined physical activity and flavonoid-rich fruit and vegetable consumption among a national sample of US adults. Pre Med Rep 2016;3:58-61. https://doi.org/10.1016/j.pmedr.2015.12.001
  26. Dinger MK, Brittain DR, Hutchinson SR. Associations between physical activity and health-related factors in a national sample of college students. J Am Coll Health 2014;62(1):67-74. https://doi.org/10.1080/07448481.2013.849710

피인용 문헌

  1. Generational differences in patterns of physical activities over time in the Canadian population: an age-period-cohort analysis vol.18, pp.1, 2017, https://doi.org/10.1186/s12889-018-5189-z
  2. Using Structural Equation Modeling to Examine the Effects of Sex and Physical Activity on the Metabolic Syndrome and Health-related Quality of Life Relationship vol.2, pp.None, 2017, https://doi.org/10.26644/em.2018.003
  3. The Effect of Cross-Level Interaction between Community Factors and Social Capital among Individuals on Physical Activity: Considering Gender Difference vol.16, pp.3, 2017, https://doi.org/10.3390/ijerph16030495
  4. Meeting physical activity recommendations is associated with health-related quality of life in women before and after Roux-en-Y gastric bypass surgery vol.28, pp.6, 2019, https://doi.org/10.1007/s11136-019-02120-0
  5. Neighborhood air pollution and household environmental health as it relates to respiratory health and healthcare utilization among elderly persons with asthma vol.57, pp.1, 2017, https://doi.org/10.1080/02770903.2018.1545856
  6. The Impact of Physical Activity on Food Reward: Review and Conceptual Synthesis of Evidence from Observational, Acute, and Chronic Exercise Training Studies vol.9, pp.2, 2017, https://doi.org/10.1007/s13679-020-00372-3
  7. Meeting Physical Activity Guidelines by Walking in Older Adults From Three Middle-Income Countries: A Cross-Sectional Analysis From the International Mobility in Aging Study vol.28, pp.3, 2020, https://doi.org/10.1123/japa.2018-0463
  8. Meeting Physical Activity Guidelines by Walking in Older Adults From Three Middle-Income Countries: A Cross-Sectional Analysis From the International Mobility in Aging Study vol.28, pp.3, 2020, https://doi.org/10.1123/japa.2018-0463
  9. The Prevalence and Perceived Health Factors of Healthy Eating and Active Living: An International Older Population-Based Study vol.28, pp.6, 2017, https://doi.org/10.1123/japa.2019-0186
  10. The Prevalence and Perceived Health Factors of Healthy Eating and Active Living: An International Older Population-Based Study vol.28, pp.6, 2017, https://doi.org/10.1123/japa.2019-0186
  11. Factors Affecting the Extent of Patients’ Electronic Medical Record Use: An Empirical Study Focusing on System and Patient Characteristics vol.23, pp.10, 2021, https://doi.org/10.2196/30637
  12. Factors Associated with Up-to-Date Colonoscopy Use Among Puerto Ricans in New York City, 2003-2016 vol.66, pp.9, 2017, https://doi.org/10.1007/s10620-020-06648-x
  13. Are adults with asthma less physically active? A systematic review and meta-analysis vol.58, pp.11, 2021, https://doi.org/10.1080/02770903.2020.1810273