Association between physical activity and inflammatory markers among U.S. Adults with chronic obstructive pulmonary disease

American Journal of Health Promotion

Volumn 29, Issue 2, 2014, Pages 81-88

  Loprinzi, Paul D ^a   Walker, Jerome F ^b   Lee, Hyo ^c  

^a UNIVERSITY OF MISSISSIPPI   (United States)

^b BELLARMINE UNIVERSITY   (United States)

^c Sangmyung University   (South Korea)

Author keywords

Accelerometry; Behavior change; Descriptive; Epidemiology; Exercise; Health focus: physical activity; Inflammation; National health and nutrition examination survey (nhanes); Outcome measure: biometric; Prevention research. manuscript format: research; Race ethnicity; Research purpose: modeling relationship testing; Setting: national; Smoking control; Strategy: education; Study design: cross sectional; Target population age: Adults; Target population circumstances: education; Tobacco

Indexed keywords

BIOLOGICAL MARKER;

ACCELEROMETRY; ADVERSE EFFECTS; BLOOD; CHRONIC OBSTRUCTIVE LUNG DISEASE; CROSS-SECTIONAL STUDY; EPIDEMIOLOGY; FEMALE; HUMAN; INFLAMMATION; LEUKOCYTE COUNT; MALE; MIDDLE AGED; MOTOR ACTIVITY; NEUTROPHIL; NUTRITION; PATHOPHYSIOLOGY; PHYSIOLOGY; QUESTIONNAIRE; SMOKING; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA;

ACCELEROMETRY; BIOMARKERS; CROSS-SECTIONAL STUDIES; FEMALE; HUMANS; INFLAMMATION; LEUKOCYTE COUNT; LINEAR MODELS; MALE; MIDDLE AGED; MOTOR ACTIVITY; NEUTROPHILS; NUTRITION SURVEYS; PULMONARY DISEASE, CHRONIC OBSTRUCTIVE; SMOKING; SURVEYS AND QUESTIONNAIRES;

EID: 84910083729     PISSN: 08901171     EISSN: 21686602     Source Type: Journal    
DOI: 10.4278/ajhp.130510-QUAN-235     Document Type: Article

References (62)

1. Global initiative for chronic obstructive lung disease (GOLD). Available at: http://www.goldcopd.org. Accessed May 5, 2013.
2. Coultas DB, Mapel D, Gagnon R, Lydick E. The health impact of undiagnosed airflow obstruction in a national sample of United States adults. Am J Respir Crit Care Med. 2001;164:372-377.
3. Mannino DM, Homa DM, Akinbami LJ, et al. Chronic obstructive pulmonary disease surveillance-United States, 1971-2000. MMWR Surveill Summ. 2002;51:1-16.
4. Agusti AG. Systemic effects of chronic obstructive pulmonary disease. Proc Am Thorac Soc. 2005;2:367-370; discussion 371-372.
5. Fimognari FL, Scarlata S, Conte ME, Incalzi RA. Mechanisms of atherothrombosis in chronic obstructive pulmonary disease. Int J Chron Obstruct Pulmon Dis. 2008;3:89-96.
6. Fimognari FL, Scarlata S, Antonelli-Incalzi R. Why are people with "poor lung function" at increased atherothrombotic risk? A critical review with potential therapeutic indications. Curr Vasc Pharmacol. 2010;8:573-586.
7. Van Eeden S, Leipsic J, Paul Man SF, Sin DD. The relationship between lung inflammation and cardiovascular disease. Am J Respir Crit Care Med. 2012;186:11-16.
8. US Dept of Health and Human Services. How Tobacco Smoke Causes Disease: The Biology and Behavioral Basis for Smoking- Attributable Disease: A Report of the Surgeon General. Atlanta, Ga: US Dept of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health; 2010.
9. Steiropoulos P, Papanas N, Nena E, et al. Mean platelet volume and platelet distribution width in patients with chronic obstructive pulmonary disease: the role of comorbidities. Angiology. 2013;64:535-539.
10. Ishizaka N, Ishizaka Y, Toda E, et al. Association between cigarette smoking, white blood cell count, and metabolic syndrome as defined by the Japanese criteria. Intern Med. 2007;46:1167-1170.
11. Kannel WB, Anderson K, Wilson PW. White blood cell count and cardiovascular disease. Insights from the Framingham Study. JAMA. 1992;267:1253-1256.
12. Gillum RF, Ingram DD, Makuc DM. White blood cell count, coronary heart disease, and death: the NHANES I Epidemiologic Follow-up Study. Am Heart J. 1993;125:855- 863.
13. Brown DW, Giles WH, Croft JB. White blood cell count: An independent predictor of coronary heart disease mortality among a national cohort. J Clin Epidemiol. 2001;54:316-322.
14. Grimm RH Jr, Neaton JD, Ludwig W. Prognostic importance of the white blood cell count for coronary, cancer, and allcause mortality. JAMA. 1985;254:1932- 1937.
15. Twig G, Afek A, Shamiss A, et al. White blood cells count and incidence of type 2 diabetes in young men. Diabetes Care. 2013; 36:276-282.
16. Hatanaka E, Monteagudo PT, Marrocos MS, Campa A. Neutrophils and monocytes as potentially important sources of proinflammatory cytokines in diabetes. Clin Exp Immunol. 2006;146:443-447.
17. Gkrania-Klotsas E, Ye Z, Cooper AJ, et al. Differential white blood cell count and type 2 diabetes: systematic review and meta-analysis of cross-sectional and prospective studies. PLoS One. 2010;5: e13405.
18. Vozarova B, Weyer C, Lindsay RS, et al. High white blood cell count is associated with a worsening of insulin sensitivity and predicts the development of type 2 diabetes. Diabetes. 2002;51:455-461.
19. Coussens LM, Werb Z. Inflammation and cancer. Nature. 2002;420:860-867.
20. Mantovani A, Pierotti MA. Cancer and inflammation: A complex relationship. Cancer Lett. 2008;267:180-181.
21. Erlinger TP, Muntner P, Helzlsouer KJ. WBC count and the risk of cancer mortality in a national sample of U.S. adults: results from the second National Health and Nutrition Examination Survey mortality study. Cancer Epidemiol Biomarkers Prev. 2004;13:1052-1056.
22. van der Vlist J, Janssen TW. The potential anti-inflammatory effect of exercise in chronic obstructive pulmonary disease. Respiration. 2010;79:160-174.
23. Garrod R, Ansley P, Canavan J, Jewell A. Exercise and the inflammatory response in chronic obstructive pulmonary disease (COPD)-does training confer anti inflammatory properties in COPD? Med Hypotheses. 2007;68:291-298.
24. Johannsen NM, Swift DL, Johnson WD, et al. Effect of different doses of aerobic exercise on total white blood cell (WBC) and WBC sub fraction number in postmenopausal women: results from DREW. PLoS One. 2012;7:e31319.
25. Laveneziana P, Palange P. Physical activity, nutritional status and systemic inflammation in COPD. Eur Respir J. 2012; 40:522-529.
26. Bossenbroek L, de Greef MH, Wempe JB, et al. Daily physical activity in patients with chronic obstructive pulmonary disease: A systematic review. COPD. 2011;8:306-319.
27. Shephard RJ. Limits to the measurement of habitual physical activity by questionnaires. Br J Sports Med. 2003;37: 197-206; discussion 206.
28. Freedman LS, Schatzkin A, Midthune D, Kipnis V. Dealing with dietary measurement error in nutritional cohort studies. J Natl Cancer Inst. 2011;103:1086- 1092.
29. Centers for Disease Control and Prevention. National Health and Nutrition Examination Survey. Available at: http://www.cdc.gov/nchs/nhanes.htm. Accessed May 5, 2013.
30. Radeos MS, Cydulka RK, Rowe BH, et al. Validation of self-reported chronic obstructive pulmonary disease among patients in the ED. Am J Emerg Med. 2009; 27:191-196.
31. Benowitz NL, Bernert JT, Caraballo RS, et al. Optimal serum cotinine levels for distinguishing cigarette smokers and nonsmokers within different racial/ethnic groups in the United States between 1999 and 2004. Am J Epidemiol. 2009;169:236- 248.
32. Centers for Disease Control and Prevention. Laboratory procedures manual for cotinine. Available at: http://www.cdc.gov/NCHS/data/nhanes/nhanes-09-10/COT-F-met.pdf. Accessed May 5, 2013.
33. National Health and Nutrition Examination Survey: laboratory procedures manual. 211-215. Available at: http://wwwn.cdc.gov/nchs/nhanes/search/datapage.aspx?Component1/4Laboratory&CycleBeginYear1/42005. Accessed May 5, 2013.
34. Chen KY, Bassett DR Jr. The technology of accelerometry-based activity monitors: current and future. Med Sci Sports Exerc. 2005;37:S490-S500.
35. Troiano RP, Berrigan D, Dodd KW, et al. Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc. 2008;40:181-188.
36. Hart TL, Swartz AM, Cashin SE, Strath SJ. How many days of monitoring predict physical activity and sedentary behaviour in older adults? Int J Behav Nutr Phys Act. 2011;8:62.
37. Matthews CE, Ainsworth BE, Thompson RW, Bassett DR Jr. Sources of variance in daily physical activity levels as measured by an accelerometer. Med Sci Sports Exerc. 2002;34:1376-1381.
38. Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40:373-383.
39. Quan H, Li B, Couris CM, et al. Updating and validating the Charlson comorbidity index and score for risk adjustment in hospital discharge abstracts using data from 6 countries. Am J Epidemiol. 2011;173: 676-682.
40. Summary of revisions for the 2010 Clinical Practice Recommendations. Diabetes Care. 2010;33(suppl 1):S3.
41. Diagnosis and classification of diabetes mellitus. Diabetes Care. 2010;33(suppl 1): S62-S69.
42. Herrmann SD, Barreira TV, Kang M, Ainsworth BE. How many hours are enough? Accelerometer wear time may provide bias in daily activity estimates. J Phys Act Health. 2013;10:742-749.
43. Kalyani RR, Saudek CD, Brancati FL, Selvin E. Association of diabetes, comorbidities, and A1C with functional disability in older adults: results from the National Health and Nutrition Examination Survey (NHANES), 1999- 2006. Diabetes Care. 2010;33:1055-1060.
44. UCLA Statistical Consulting Group. Assessment of multi collinearity. Available at: http://www.ats.ucla.edu/stat/stata/faq/svycollin.htm. Accessed May 5, 2013.
45. Vittinghoff E, Glidden DV, Shiboski SC, McCulloch CE. Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models. New York, NY: Springer Science Business Media Inc; 2004:126-127.
46. Buttner P, Mosig S, Lechtermann A, et al. Exercise affects the gene expression profiles of human white blood cells. J Appl Physiol. 2007;102:26-36.
47. Radom-Aizik S, Zaldivar F, Leu SY, et al. Effects of 30 min of aerobic exercise on gene expression in human neutrophils. J Appl Physiol. 2008;104:236-243.
48. Warburton DE, Charlesworth S, Ivey A, et al. A systematic review of the evidence for Canada's Physical Activity Guidelines for Adults. Int J Behav Nutr Phys Act. 2010;7:39.
49. Humphreys BR, McLeod L, Ruseski JE. Physical activity and health outcomes: evidence from Canada. Health Econ. 2014; 23:33-54.
50. Crisafulli E, Costi S, Luppi F, et al. Role of comorbidities in a cohort of patients with COPD undergoing pulmonary rehabilitation. Thorax. 2008;63:487-492.
51. Skeletal muscle dysfunction in chronic obstructive pulmonary disease. A statement of the American Thoracic Society and European Respiratory Society. Am J Respir Crit Care Med. 1999;159:S1-S40.
52. Gosker HR, Zeegers MP, Wouters EF, Schols AM. Muscle fibre type shifting in the vastus lateralis of patients with COPD is associated with disease severity: A systematic review and meta-analysis. Thorax. 2007;62:944-949.
53. Barreiro E, Schols AM, Polkey MI, et al. Cytokine profile in quadriceps muscles of patients with severe COPD. Thorax. 2008; 63:100-107.
54. Debigare R, Maltais F, Cote CH, et al. Profiling of mRNA expression in quadriceps of patients with COPD and muscle wasting. COPD. 2008;5:75-84.
55. Rodriguez DA, Kalko S, Puig-Vilanova E, et al. Muscle and blood redox status after exercise training in severe COPD patients. Free Radic Biol Med. 2012;52:88-94.
56. Scott AS, Baltzan MA, Fox J, Wolkove N. Success in pulmonary rehabilitation in patients with chronic obstructive pulmonary disease. Can Respir J. 2010;17: 219-223.
57. Reid WD, Rurak J, Harris RL. Skeletal muscle response to inflammation- lessons for chronic obstructive pulmonary disease. Crit Care Med. 2009;37:S372-S383.
58. van Helvoort HA, Heijdra YF, Dekhuijzen PN. Systemic immunological response to exercise in patients with chronic obstructive pulmonary disease: what does it mean? Respiration. 2006;73:255-264.
59. Moy ML, Matthess K, Stolzmann K, et al. Free-living physical activity in COPD: Assessment with accelerometer and activity checklist. J Rehabil Res Dev. 2009;46:277- 286.
60. Donaire-Gonzalez D, Gimeno-Santos E, Balcells E, et al. Physical activity in COPD patients: patterns and bouts. Eur Respir J. 2013;42:993-1002.
61. Chapman KR, Tashkin DP, Pye DJ. Gender bias in the diagnosis of COPD. Chest. 2001; 119:1691-1695.
62. Centers for Disease Control and Prevention. National Center for Health Statistics: National Health Interview Survey raw data, 2008. Analysis performed by American Lung Association Research and Program Services using SPSS and SUDAAN software.