Objective vs. self-reported physical activity and sedentary time: Effects of measurement method on relationships with risk biomarkers

PLoS ONE

Volumn 7, Issue 5, 2012, Pages

  Celis Morales, Carlos A ^a   Perez Bravo, Francisco ^b   Ibañez, Luis ^c   Salas, Carlos ^d   Bailey, Mark E S ^a   Gill, Jason M R ^a  

^a UNIVERSITY OF GLASGOW   (United Kingdom)

^b UNIVERSITY OF CHILE   (Chile)

^c Center of Nutrition   (Chile)

^d UNIVERSITY OF CONCEPCIÓN   (Chile)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL MARKER; GLUCOSE; HIGH DENSITY LIPOPROTEIN CHOLESTEROL; INSULIN; LOW DENSITY LIPOPROTEIN CHOLESTEROL; TRIACYLGLYCEROL;

ACCELEROMETRY; ADULT; AGED; ARTICLE; BODY FAT; BODY MASS; CARDIOVASCULAR DISEASE; CARDIOVASCULAR RISK; CHOLESTEROL BLOOD LEVEL; CONTROLLED STUDY; DIASTOLIC BLOOD PRESSURE; FEMALE; GLUCOSE BLOOD LEVEL; HUMAN; INSULIN BLOOD LEVEL; INSULIN RESISTANCE; INTERMETHOD COMPARISON; MALE; METABOLIC DISORDER; PHYSICAL ACTIVITY; QUANTITATIVE ANALYSIS; RISK FACTOR; SELF REPORT; SITTING; SYSTOLIC BLOOD PRESSURE; TREND STUDY; TRIACYLGLYCEROL BLOOD LEVEL; WAIST CIRCUMFERENCE; ADOLESCENT; BLOOD; BLOOD PRESSURE; CLINICAL TRIAL; DIET RESTRICTION; METABOLIC SYNDROME X; METABOLISM; MIDDLE AGED; MOTOR ACTIVITY; MULTICENTER STUDY; PATHOPHYSIOLOGY; VASCULAR DISEASE;

ADOLESCENT; ADULT; AGED; BIOLOGICAL MARKERS; BLOOD GLUCOSE; BLOOD PRESSURE; CHOLESTEROL, HDL; CHOLESTEROL, LDL; FASTING; FEMALE; HUMANS; INSULIN; INSULIN RESISTANCE; METABOLIC SYNDROME X; MIDDLE AGED; MOTOR ACTIVITY; RISK FACTORS; SELF REPORT; TRIGLYCERIDES; VASCULAR DISEASES;

EID: 84860775013     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0036345     Document Type: Article

References (34)

1. Gill JM, Cooper AR, (2008) Physical activity and prevention of type 2 diabetes mellitus. Sports Med 38: 807-824.
2. Nocon M, Hiemann T, Muller-Riemenschneider F, Thalau F, Roll S, et al. (2008) Association of physical activity with all-cause and cardiovascular mortality: a systematic review and meta-analysis. Eur J Cardiovasc Prev Rehabil 15: 239-246 10.1097/HJR.0b013e3282f55e09 [doi];00149831-200806000-00001 [pii].
3. Gill JM, Bhopal R, Douglas A, Wallia S, Bhopal R, et al. (2011) Sitting Time and Waist Circumference Are Associated With Glycemia in U.K. South Asians: Data from 1,228 adults screened for the PODOSA trial. Diabetes Care 34: 1214-1218 dc10-2313 [pii];10.2337/dc10-2313 [doi].
4. Katzmarzyk PT, Church TS, Craig CL, Bouchard C, (2009) Sitting time and mortality from all causes, cardiovascular disease, and cancer. Med Sci Sports Exerc 41: 998-1005 10.1249/MSS.0b013e3181930355 [doi];00005768-200905000-00005 [pii].
5. Dunstan DW, Barr EL, Healy GN, Salmon J, Shaw JE, et al. (2010) Television viewing time and mortality: the Australian Diabetes, Obesity and Lifestyle Study (AusDiab). Circulation 121: 384-391 CIRCULATIONAHA.109.894824 [pii];10.1161/CIRCULATIONAHA.109.894824 [doi].
6. Hu FB, Leitzmann MF, Stampfer MJ, Colditz GA, Willett WC, et al. (2001) Physical activity and television watching in relation to risk for type 2 diabetes mellitus in men. Arch Intern Med 161: 1542-1548.
7. Hu FB, Li TY, Colditz GA, Willett WC, Manson JE, (2003) Television watching and other sedentary behaviors in relation to risk of obesity and type 2 diabetes mellitus in women. JAMA 289: 1785-1791 10.1001/jama.289.14.1785 [doi];289/14/1785 [pii].
8. Terwee CB, Mokkink LB, van Poppel MN, Chinapaw MJ, van MW, et al. (2010) Qualitative attributes and measurement properties of physical activity questionnaires: a checklist. Sports Med 40: 525-537 1 [pii];10.2165/11531370-000000000-00000 [doi].
9. Lagerros YT, Lagiou P, (2007) Assessment of physical activity and energy expenditure in epidemiological research of chronic diseases. Eur J Epidemiol 22: 353-362 10.1007/s10654-007-9154-x [doi].
10. Haskell WL, Lee IM, Pate RR, Powell KE, Blair SN, et al. (2007) Physical activity and public health: updated recommendation for adults from the American College of Sports Medicine and the American Heart Association. Med Sci Sports Exerc 39: 1423-1434.
11. Department of Health (2011) Start Active, Stay Active: a report on physical activity for health from the four home countries' Chief Medical Officers pp. 1-59.
12. Shephard RJ, (2003) Limits to the measurement of habitual physical activity by questionnaires. Br J Sports Med 37: 197-206.
13. van Poppel MN, Chinapaw MJ, Mokkink LB, van MW, Terwee CB, (2010) Physical activity questionnaires for adults: a systematic review of measurement properties. Sports Med 40: 565-600 3 [pii];10.2165/11531930-000000000-00000 [doi].
14. Craig CL, Marshall AL, Sjostrom M, Bauman AE, Booth ML, et al. (2003) International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc 35: 1381-1395.
15. Hagstromer M, Oja P, Sjostrom M, (2006) The International Physical Activity Questionnaire (IPAQ): a study of concurrent and construct validity. Public Health Nutr 9: 755-762.
16. Rosenberg DE, Bull FC, Marshall AL, Sallis JF, Bauman AE, (2008) Assessment of sedentary behavior with the International Physical Activity Questionnaire. J Phys Act Health 5 (Suppl 1): S30-S44.
17. Frost C, Thompson SG, (2000) Correcting for regression dilution bias: comparison of methods for a single predictor variable. J R Statist Soc A 163: 173-189.
18. Atienza AA, Moser RP, Perna F, Dodd K, Ballard-Barbash R, et al. (2011) Self-reported and objectively measured activity related to biomarkers using NHANES. Med Sci Sports Exerc 43: 815-821 10.1249/MSS.0b013e3181fdfc32 [doi].
19. Fan AZ, Ham SA, Muppidi SR, Mokdad AH, (2009) Validation of reported physical activity for cholesterol control using two different physical activity instruments. Vasc Health Risk Manag 5: 649-661.
20. Celis-Morales CA, Perez-Bravo F, Ibanes L, Sanzana R, Hormazabal E, et al. (2011) Insulin resistance in Chileans of European and Indigenous descent: evidence for an ethnicity x environment interaction. PLoS ONE 6: e24690.
21. Freedson PS, Melanson E, Sirard J, (1998) Calibration of the Computer Science and Applications, Inc. accelerometer. Med Sci Sports Exerc 30: 777-781.
22. Troiano RP, Berrigan D, Dodd KW, Masse LC, Tilert T, et al. (2008) Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc 40: 181-188 10.1249/mss.0b013e31815a51b3 [doi].
23. Hagstromer M, Oja P, Sjostrom M, (2007) Physical activity and inactivity in an adult population assessed by accelerometry. Med Sci Sports Exerc 39: 1502-1508 10.1249/mss.0b013e3180a76de5 [doi];00005768-200709000-00010 [pii].
24. Marfell-Jones M, Olds T, Stewart A, Carter L, (2006) International standards for anthropometric assessment Potchefstroom ISAK.
25. Durnin JVGA, Womersley J, (1974) Body fat assessed from total body density and its estimation from skinfold thickness: measurements on 481 men and women aged from 16 to 72 years. British Journal of Nutrition 32: 77-97.
26. El Assaad MA, Topouchian JA, Asmar RG, (2003) Evaluation of two devices for self-measurement of blood pressure according to the international protocol: the Omron M5-I and the Omron 705IT. Blood Press Monit 8: 127-133 10.1097/01.mbp.0000087393.96145.b1 [doi].
27. Friedewald WT, Levy RI, Fredrickson DS, (1972) Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem 18: 499-502.
28. ESOMAR (1997) The ESOMAR Standard Demographic Classification. A System of International Socio-Economic Classification of Respondents to Survey Research. Hoffmeyer-Zlotnik JHP, Wolf C, eds. Advances in Cross-National Comparison. A European Working Book for Demographic and Socio-Economic Variables New York Kluwer Academic/Plenum Publishers pp. 97-121.
29. National Socioeconomic Survey (2006) Poll of Quality of Life in Households Santiago Ministry of Planning, Government of Chile.
30. Bland JM, Altman DG, (1999) Measuring agreement in method comparison studies. Stat Methods Med Res 8: 135-160.
31. Troiano RP, (2007) Large-scale applications of accelerometers: new frontiers and new questions. Med Sci Sports Exerc 39 1501. 10.1097/mss.0b013e318150d42e [doi];00005768-200709000-00009 [pii].
32. Healy GN, Wijndaele K, Dunstan DW, Shaw JE, Salmon J, et al. (2008) Objectively measured sedentary time, physical activity, and metabolic risk: the Australian Diabetes, Obesity and Lifestyle Study (AusDiab). Diabetes Care 31: 369-371 dc07-1795 [pii];10.2337/dc07-1795 [doi].
33. Ekelund U, Brage S, Griffin SJ, Wareham NJ, (2009) Objectively measured moderate- and vigorous-intensity physical activity but not sedentary time predicts insulin resistance in high-risk individuals. Diabetes Care 32: 1081-1086 dc08-1895 [pii];10.2337/dc08-1895 [doi].
34. Hamilton MT, Hamilton DG, Zderic TW, (2007) Role of low energy expenditure and sitting in obesity, metabolic syndrome, type 2 diabetes, and cardiovascular disease. Diabetes 56: 2655-2667 db07-0882 [pii];10.2337/db07-0882 [doi].