Cited by 486Physical Activity and HealthContext-Aware Activity Recognition SystemsObesity, Physical Activity, Diet

The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.

Objective vs. Self-Reported Physical Activity and Sedentary Time: Effects of Measurement Method on Relationships with Risk Biomarkers

Open access

Celis-Morales, Carlos A., Perez-Bravo, Francisco, Ibañez, Luis, Salas, Carlos, Bailey, Mark E. S., Gill, Jason M. R.·2012·PLoS ONE

DOI 10.1371/journal.pone.0036345PMC PMC3348936

Open this paper in CoChat — free account Open PDF

Abstract

PURPOSE: Imprecise measurement of physical activity variables might attenuate estimates of the beneficial effects of activity on health-related outcomes. We aimed to compare the cardiometabolic risk factor dose-response relationships for physical activity and sedentary behaviour between accelerometer- and questionnaire-based activity measures. METHODS: Physical activity and sedentary behaviour were assessed in 317 adults by 7-day accelerometry and International Physical Activity Questionnaire (IPAQ). Fasting blood was taken to determine insulin, glucose, triglyceride and total, LDL and HDL cholesterol concentrations and homeostasis model-estimated insulin resistance (HOMA(IR)). Waist circumference, BMI, body fat percentage and blood pressure were also measured. RESULTS: For both accelerometer-derived sedentary time (<100 counts.min(-1)) and IPAQ-reported sitting time significant positive (negative for HDL cholesterol) relationships were observed with all measured risk factors--i.e. increased sedentary behaviour was associated with increased risk (all p ≤ 0.01). However, for HOMA(IR) and insulin the regression coefficients were >50% lower for the IPAQ-reported compared to the accelerometer-derived measure (p<0.0001 for both interactions). The relationships for moderate-to-vigorous physical activity (MVPA) and risk factors were less strong than those observed for sedentary behaviours, but significant negative relationships were observed for both accelerometer and IPAQ MVPA measures with glucose, and insulin and HOMA(IR) values (all p<0.05). For accelerometer-derived MVPA only, additional negative relationships were seen with triglyceride, total cholesterol and LDL cholesterol concentrations, BMI, waist circumference and percentage body fat, and a positive relationship was evident with HDL cholesterol (p = 0.0002). Regression coefficients for HOMA(IR), insulin and triglyceride were 43-50% lower for the IPAQ-reported compared to the accelerometer-derived MVPA measure (all p≤0.01). CONCLUSION: Using the IPAQ to determine sitting time and MVPA reveals some, but not all, relationships between these activity measures and metabolic and vascular disease risk factors. Using this self-report method to quantify activity can therefore underestimate the strength of some relationships with risk factors.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1371/journal.pone.0036345

Cites

34 of 34 references verified0 citation errors · 0 not checkable

Statistics

Figure 1 Relationships between accelerometer-derived sedentary time and IPAQ-reported sitting time (top panel) and between accelerometer-derived and IPAQ-reported MVPA (bottom panel). Solid line on each plot represents the linear regression line; dotted line represents the line of equality, y = x. Pearson (r) and concordance (Pc) correlation coefficients shown.CC BY · PubMed Central

Figure 2 Relationships between sedentary/sitting time and triglyceride concentration (top panel) and MVPA and triglyceride concentration (bottom panel) for accelerometer-derived and IPAQ-reported activity measures. Solid line on each plot represents the linear regression line for accelerometer-derived activity measure; dotted line is the regression line for IPAQ-reported activity measure. Unadjusted data values presented. See Tables 4 and 5 for β coefficients and p-values for regression lines, adjusted for age, sex, ethnicity, environment and socio-economic status and smoking.CC BY · PubMed Central

Figure 3 Triglyceride concentrations by quartile of sitting/sedentary time (top panel) or MVPA (bottom panel) for the accelerometer-derived and IPAQ-reported activity measures. Trends for triglyceride concentration by sitting/sedentary time quartile significant for both accelerometer (p = 0.0001) and IPAQ (p = 0.014) measures. Trends for triglyceride concentration by MVPA quartile significant for the accelerometer (p = 0.022), but not the IPAQ (p = 0.139), activity measure.CC BY · PubMed Central

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge
Friedewald, W. T., Levy, R. I., & Fredrickson, D. S. (1972) · Clinical Chemistry · doi:10.1093/clinchem/18.6.499 · Cited by 32,423
International physical activity questionnaire: 12-country reliability and validity
CRAIG, C. L., MARSHALL, A. L., SJ??STR??M, M., BAUMAN, A. E., BOOTH, M. L., AINSWORTH, B. E., PRATT, M., EKELUND, U., YNGVE, A., SALLIS, J. F., et al. (2003) · Medicine & Science in Sports & Exercise · doi:10.1249/01.mss.0000078924.61453.fb · Cited by 21,619
Measuring agreement in method comparison studies
Bland, J. M., & Altman, D. G. (1999) · Statistical Methods in Medical Research · doi:10.1177/096228029900800204 · Cited by 9,619
Measuring agreement in method comparison studies
Bland, J. M., & Altman, D. G. (1999) · Statistical Methods in Medical Research · doi:10.1191/096228099673819272 · Cited by 9,619
Physical Activity in the United States Measured by Accelerometer
TROIANO, R. P., BERRIGAN, D., DODD, K. W., MÂSSE, L. C., TILERT, T., & MCDOWELL, M. (2008) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e31815a51b3 · Cited by 7,638
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
Durnin, J. V. G. A., & Womersley, J. (1974) · British Journal Of Nutrition · doi:10.1079/bjn19740060 · Cited by 6,343
Physical Activity and Public Health: Updated Recommendation for Adults from the American College of Sports Medicine and the American Heart Association
HASKELL, W. L., LEE, I.-M., PATE, R. R., POWELL, K. E., BLAIR, S. N., FRANKLIN, B. A., MACERA, C. A., HEATH, G. W., THOMPSON, P. D., & BAUMAN, A. (2007) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e3180616b27 · Cited by 4,616
Calibration of the Computer Science and Applications, Inc. accelerometer
FREEDSON, P. S., MELANSON, E., & SIRARD, J. (1998) · Medicine & Science in Sports & Exercise · doi:10.1097/00005768-199805000-00021 · Cited by 3,825
International Standards for Anthropometric Assessment (2006)
Marfell-Jones, M., Olds, T., Stewart, A. D., & Carter, L. (2006) · VUBIR (Vrije Universiteit Brussel) · Cited by 2,608
The International Physical Activity Questionnaire (IPAQ): a study of concurrent and construct validity
Hagströmer, M., Oja, P., & Sjöstróm, M. (2006) · Public Health Nutrition · doi:10.1079/phn2005898 · Cited by 2,078

Show all 33 references

Sorted by citations

Patterns of Sedentary Behavior and Mortality in U.S. Middle-Aged and Older Adults
Diaz, K. M., Howard, V. J., Hutto, B., Colabianchi, N., Vena, J. E., Safford, M. M., Blair, S. N., & Hooker, S. P. (2017) · Annals of Internal Medicine · doi:10.7326/m17-0212 · Cited by 570
A comparison of self-reported and device measured sedentary behaviour in adults: a systematic review and meta-analysis
Prince, S. A., Cardilli, L., Reed, J. L., Saunders, T. J., Kite, C., Douillette, K., Fournier, K., & Buckley, J. (2020) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-020-00938-3 · Cited by 574
Association between active commuting and incident cardiovascular disease, cancer, and mortality: prospective cohort study
Celis-Morales, C. A., Lyall, D. M., Welsh, P. I., Anderson, J. J., Steell, L., Guo, Y., Maldonado, R., Mackay, D., Pell, J. P., Sattar, N. A., et al. (2017) · BMJ · doi:10.1136/bmj.j1456 · Cited by 523
Self-citation
Accelerometry and physical activity questionnaires - a systematic review
Skender, S., Ose, J., Chang-Claude, J., Paskow, M., Brühmann, B., Siegel, E. M., Steindorf, K., & Ulrich, C. M. (2016) · BMC Public Health · doi:10.1186/s12889-016-3172-0 · Cited by 449
The Current State of Physical Activity Assessment Tools
Ainsworth, B. E., Cahalin, L. P., Buman, M. P., & Ross, R. (2014) · Progress in Cardiovascular Diseases · doi:10.1016/j.pcad.2014.10.005 · Cited by 509
Prevalence of Sedentary Behavior in Older Adults: A Systematic Review
Harvey, J., Chastin, S., & Skelton, D. (2013) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph10126645 · Cited by 418
“Self-report measures are known to have poor accuracy and lead to an underestimation of the strength of the relationship [37].”
Background
Motives for adult participation in physical activity: type of activity, age, and gender
Molanorouzi, K., Khoo, S., & Morris, T. (2015) · BMC Public Health · doi:10.1186/s12889-015-1429-7 · Cited by 482
Comparing actual and self-reported measures of Facebook use
Reynol Junco, A. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2012.11.007 · Cited by 410
Effects of Regular Physical Activity on the Immune System, Vaccination and Risk of Community-Acquired Infectious Disease in the General Population: Systematic Review and Meta-Analysis
CHASTIN, S. F. M., Abaraogu, U. O., Bourgois, J., Dall, P., Darnborough, J., Duncan, E., Dumortier, J., Jiménez‐Pavón, D., McParland, J. L., Roberts, N., et al. (2021) · Sports Medicine · doi:10.1007/s40279-021-01466-1 · Cited by 315
Physical Activity Versus Cardiorespiratory Fitness: Two (Partly) Distinct Components of Cardiovascular Health?
DeFina, L. F., Haskell, W. L., Willis, B. L., Barlow, C. E., Finley, C. E., Levine, B. D., & Cooper, K. H. (2014) · Progress in Cardiovascular Diseases · doi:10.1016/j.pcad.2014.09.008 · Cited by 268
Sedentary Behavior and Cardiovascular Disease in Older Women: The OPACH Study
Bellettiere, J., LaMonte, M. J., Evenson, K. R., Rillamas-Sun, E., Kerr, J., Lee, I.-M., Di, C., Rosenberg, D. E., Stefanick, M. L., Buchner, D. M., et al. (2019) · Circulation · doi:10.1161/circulationaha.118.035312 · Cited by 252
Systematic literature review of determinants of sedentary behaviour in older adults: a DEDIPAC study
CHASTIN, S. F. M., Buck, C., Freiberger, E., MURPHY, M. H., Brug, J., Cardon, G., O’Donoghue, G., Pigeot, I., & Oppert, J. (2015) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-015-0292-3 · Cited by 275
Association of Body Mass Index With Cardiometabolic Disease in the UK Biobank: A Mendelian Randomization Study
Lyall, D. M., Celis-Morales, C., Ward, J., Iliodromiti, S., Anderson, J. J., Gill, J. M. R., Smith, D. J., Ntuk, U. E., Mackay, D. F., Holmes, M. V., et al. (2017) · JAMA Cardiology · doi:10.1001/jamacardio.2016.5804 · Cited by 235
Self-citation
Accelerometer-measured sedentary time and cardiometabolic biomarkers: A systematic review
Brocklebank, L. A., Falconer, C., Page, A. S., Perry, R. A., & Cooper, A. R. (2015) · Preventive Medicine · doi:10.1016/j.ypmed.2015.04.013 · Cited by 245
The association between physical activity and risk of mortality is modulated by grip strength and cardiorespiratory fitness: evidence from 498 135 UK-Biobank participants
Celis-Morales, C. A., Lyall, D. M., Anderson, J. J., Iliodromiti, S., Fan, Y., Ntuk, U. E., Mackay, D., Pell, J. P., Sattar, N. A., & Gill, J. M. R. (2016) · European Heart Journal · doi:10.1093/eurheartj/ehw249 · Cited by 224
Self-citation
High-speed resistance training is more effective than low-speed resistance training to increase functional capacity and muscle performance in older women
Ramírez-Campillo, R., Castillo, A., de la Fuente, C. I., Campos-Jara, C., Andrade, D. C., Álvarez, C., Martínez, C., Castro-Sepúlveda, M., Pereira, A., Marques, M. C., et al. (2014) · Experimental Gerontology · doi:10.1016/j.exger.2014.07.001 · Cited by 212
A bidirectional relationship between physical activity and executive function in older adults
Daly, M., McMinn, D., & Allan, J. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.01044 · Cited by 231
Is Objectively Measured Sitting Time Associated with Low Back Pain? A Cross-Sectional Investigation in the NOMAD study
Gupta, N., Christiansen, C. S., Hallman, D., Korshøj, M., Carneiro, I. G., & Holtermann, A. (2015) · PLoS ONE · doi:10.1371/journal.pone.0121159 · Cited by 214
Multicentre cluster randomised trial comparing a community group exercise programme and home-based exercise with usual care for people aged 65 years and over in primary care
Iliffe, S., Kendrick, D., Morris, R. W., Masud, T., Gage, H., Skelton, D. A., Dinan, S., Bowling, A., Griffin, M., Haworth, D., et al. (2014) · Health Technology Assessment · doi:10.3310/hta18490 · Cited by 219
The Pace of Technologic Change
Patrick, K., Hekler, E. B., Estrin, D., Mohr, D. C., Riper, H., Crane, D., Godino, J., & Riley, W. T. (2016) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2016.05.001 · Cited by 169
Associations between objectively-measured sedentary behaviour and physical activity with bone mineral density in adults and older adults, the NHANES study
CHASTIN, S. F. M., Mandrichenko, O., Helbostadt, J. L., & Skelton, D. A. (2014) · Bone · doi:10.1016/j.bone.2014.04.009 · Cited by 197
How Well Do People Report Time Spent on Facebook?: An Evaluation of Established Survey Questions with Recommendations
Ernala, S. K., Burke, M., Leavitt, A., & Ellison, N. B. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376435 · Cited by 179
Associations of Objectively Assessed Physical Activity and Sedentary Time with All-Cause Mortality in US Adults: The NHANES Study
Schmid, D., Ricci, C., & Leitzmann, M. F. (2015) · PLoS ONE · doi:10.1371/journal.pone.0119591 · Cited by 168
A review of the assessment and prevalence of sedentarism in older adults, its physiology/health impact and non-exercise mobility counter-measures
Wullems, J. A., Verschueren, S., Degens, H., Morse, C. I., & Onambélé-Pearson, G. L. (2016) · Biogerontology · doi:10.1007/s10522-016-9640-1 · Cited by 177
Integrating Mobile-health, health coaching, and physical activity to reduce the burden of chronic low back pain trial (IMPACT): a pilot randomised controlled trial
Amorim, A. B., Pappas, E., Simić, M., Ferreira, M. L., Jennings, M. D., Tiedemann, A., Carvalho‐e‐Silva, A. P., Caputo, E. L., Kongsted, A., & Ferreira, P. H. (2019) · BMC Musculoskeletal Disorders · doi:10.1186/s12891-019-2454-y · Cited by 168
Calibration and validation of accelerometer-based activity monitors: A systematic review of machine-learning approaches
Farrahi, V., Niemelä, M., Kangas, M., Korpelainen, R., & Jämsä, T. J. (2018) · Gait & Posture · doi:10.1016/j.gaitpost.2018.12.003 · Cited by 153
The effect of experimentally induced sedentariness on mood and psychobiological responses to mental stress
Endrighi, R., Steptoe, A., & Hamer, M. (2015) · The British Journal of Psychiatry · doi:10.1192/bjp.bp.114.150755 · Cited by 152
The association between accelerometer-measured patterns of sedentary time and health risk in children and youth: results from the Canadian Health Measures Survey
Colley, R. C., Garriguet, D., Janssen, I., Wong, S. L., Saunders, T. J., Carson, V., & Tremblay, M. S. (2013) · BMC Public Health · doi:10.1186/1471-2458-13-200 · Cited by 144
The effect of a programme to improve men’s sedentary time and physical activity: The European Fans in Training (EuroFIT) randomised controlled trial
Wyke, S., Bunn, C., Andersen, E., Silva, M. N., van Nassau, F., McSkimming, P., Kolovos, S., Gill, J. M. R., Gray, C. M., Hunt, K., et al. (2019) · PLoS Medicine · doi:10.1371/journal.pmed.1002736 · Cited by 157
Self-citation
Association Between Hearing Impairment and Lower Levels of Physical Activity in Older Adults
Gispen, F. E., Chen, D. S., Genther, D. J., & Lin, F. R. (2014) · Journal of the American Geriatrics Society · doi:10.1111/jgs.12938 · Cited by 139
Comparison of self-reported measure of sitting time (IPAQ) with objective measurement (activPAL)
CHASTIN, S. F. M., Culhane, B., & Dall, P. (2014) · Physiological Measurement · doi:10.1088/0967-3334/35/11/2319 · Cited by 152
Predicting course outcomes with digital textbook usage data
Reynol Junco, A., & Clem, C. (2015) · The Internet and Higher Education · doi:10.1016/j.iheduc.2015.06.001 · Cited by 132
Associations Between Diabetes and Both Cardiovascular Disease and All-Cause Mortality Are Modified by Grip Strength: Evidence From UK Biobank, a Prospective Population-Based Cohort Study
Celis-Morales, C. A., Petermann-Rocha, F. E., Li, H., Lyall, D. M., Iliodromiti, S., McLaren, J. B., Anderson, J. J., Welsh, P. I., Mackay, D., Pell, J. P., et al. (2017) · Diabetes Care · doi:10.2337/dc17-0921 · Cited by 127
Self-citation
Reliability of Objectively Measured Sedentary Time and Physical Activity in Adults
Aadland, E., & Ylvisåker, E. (2015) · PLoS ONE · doi:10.1371/journal.pone.0133296 · Cited by 128
Vegetarian diet, change in dietary patterns, and diabetes risk: A prospective study
Chiu, T. H. T., Pan, W.-H., Lin, M.-N., & Lin, C.-L. (2018) · Nutrition & Diabetes · doi:10.1038/s41387-018-0022-4 · Cited by 116
Replacing Sedentary Time with Physical Activity in Relation to Mortality
Schmid, D., Ricci, C., Baumeister, S. E., & Leitzmann, M. F. (2016) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000000913 · Cited by 117
Does duration of physical activity bouts matter for adiposity and metabolic syndrome? A cross-sectional study of older British men
Jefferis, B. J. M. H., Parsons, T. J., Sartini, C., Ash, S., LENNON, L. T., Wannamethee, S. G., Lee, I.-M. M., & Whincup, P. H. (2016) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-016-0361-2 · Cited by 123
Comparing the Self-Report and Measured Smartphone Usage of College Students: A Pilot Study
Lee, H., Ahn, H., Nguyen, T. G., Choi, S.-W., & Kim, D. J. (2017) · Psychiatry Investigation · doi:10.4306/pi.2017.14.2.198 · Cited by 114
Objectively Measured Sedentary Time and Cardiometabolic Biomarkers in US Hispanic/Latino Adults
Qi, Q., Strizich, G., Merchant, G., Sotres‐Alvarez, D., Buelna, C., Castañeda, S. F., Gallo, L. C., Cai, J., Gellman, M. D., Isasi, C. R., et al. (2015) · Circulation · doi:10.1161/circulationaha.115.016938 · Cited by 115
Physical activity, sedentary behavior time and lipid levels in the Observation of Cardiovascular Risk Factors in Luxembourg study
Crichton, G. E., & Alkerwi, A. (2015) · Lipids in Health and Disease · doi:10.1186/s12944-015-0085-3 · Cited by 111
Validating the Physical Activity and Leisure Motivation Scale (PALMS)
Molanorouzi, K., Khoo, S., & Morris, T. (2014) · BMC Public Health · doi:10.1186/1471-2458-14-909 · Cited by 109
Influencing Factors on the Overestimation of Self-Reported Physical Activity: A Cross-Sectional Analysis of Low Back Pain Patients and Healthy Controls
Schaller, A., Rudolf, K., Dejonghe, L. A. L., Grieben, C., & Froboese, I. (2016) · BioMed Research International · doi:10.1155/2016/1497213 · Cited by 116
The association between time spent in sedentary behaviors and blood pressure: A systematic review and meta-analysis
Lee, P. H., & Wong, F. K. Y. (2015) · Sports Medicine · doi:10.1007/s40279-015-0322-y · Cited by 102
Cardiorespiratory Fitness, Sedentary Behaviour and Physical Activity Are Independently Associated with the Metabolic Syndrome, Results from the SCAPIS Pilot Study
Ekblom, Ö. B., Ekblom‐Bak, E., Rosengren, A., Hallsten, M., Bergström, G. M. L., & Börjesson, M. (2015) · PLoS ONE · doi:10.1371/journal.pone.0131586 · Cited by 106
Association of objectively measured sedentary behaviour and physical activity with cardiovascular disease risk
Vasankari, V., Husu, P., Vähä‐Ypyä, H., Suni, J. H., Tokola, K., Halonen, J., Hartikainen, J. E. K., Sievänen, H. T., & Vasankari, T. J. (2017) · European Journal of Preventive Cardiology · doi:10.1177/2047487317711048 · Cited by 99
Associations of discretionary screen time with mortality, cardiovascular disease and cancer are attenuated by strength, fitness and physical activity: findings from the UK Biobank study
Celis-Morales, C. A., Lyall, D. M., Steell, L., Gray, S. R., Iliodromiti, S., Anderson, J. J., Mackay, D., Welsh, P. I., Yates, T. E., Pell, J. P., et al. (2018) · BMC Medicine · doi:10.1186/s12916-018-1063-1 · Cited by 103
Self-citation
Objectively measured sedentary behavior and physical activity in a sample of Finnish adults: a cross-sectional study
Husu, P., Suni, J. H., Vähä‐Ypyä, H., Sievänen, H. T., Tokola, K., Valkeinen, H., Mäki-Opas, T. E., & Vasankari, T. J. (2016) · BMC Public Health · doi:10.1186/s12889-016-3591-y · Cited by 107
Age- and Sex-Specific Criterion Validity of the Health Survey for England Physical Activity and Sedentary Behavior Assessment Questionnaire as Compared With Accelerometry
Scholes, S., Coombs, N. A., Pedišić, Ž., Mindell, J. S., Bauman, A. E., Rowlands, A. V., & Stamatakis, E. (2014) · American Journal of Epidemiology · doi:10.1093/aje/kwu087 · Cited by 97
The relation between sleep duration and sedentary behaviours in European adults
Lakerveld, J., Mackenbach, J. D., Horváth, E., Rutters, F., Compernolle, S., Bárdos, H., Bourdeaudhuij, I. D., Charreire, H., Rutter, H., Oppert, J., et al. (2016) · Obesity Reviews · doi:10.1111/obr.12381 · Cited by 89
Moderate intensity physical activity associates with CSF biomarkers in a cohort at risk for Alzheimer's disease
Law, L. L., Rol, R. N., Schultz, S. A., Dougherty, R. J., Edwards, D. F., Koscik, R. L., Gallagher, C. L., Carlsson, C. M., Bendlin, B. B., Zetterberg, H., et al. (2018) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1016/j.dadm.2018.01.001 · Cited by 88
Accelerometer-Measured Sedentary and Physical Activity Time and Their Correlates in European Older Adults: The SITLESS Study
Giné‐Garriga, M., Sansano-Nadal, O., Tully, M. A., Caserotti, P., Coll‐Planas, L., Rothenbacher, D., Dallmeier, D., Denkinger, M. D., Wilson, J. J., Martín-Borràs, C., et al. (2020) · The Journals of Gerontology Series A · doi:10.1093/gerona/glaa016 · Cited by 96
El sedentarismo se asocia a un incremento de factores de riesgo cardiovascular y metabólicos independiente de los niveles de actividad física
Leiva, A. M., Martínez-Sangüinetti, M. A., Cristi‐Montero, C., Salas, C., Ramírez‐Campillo, R., Díaz-Martínez, X., Aguilar-Farías, N., & Celis-Morales, C. A. (2017) · Revista médica de Chile · doi:10.4067/s0034-98872017000400006 · Cited by 94
Self-citation
Socio-demographic patterns of physical activity and sedentary behaviour in Chile: results from the National Health Survey 2009–2010
Celis-Morales, C. A., Salas, C., Alduhishy, A., Sanzana, R., Martínez-Sangüinetti, M. A., Leiva, A. M., Díaz, X., Martínez‐Salazar, C., Álvarez, C., Leppe, J., et al. (2015) · Journal of Public Health · doi:10.1093/pubmed/fdv079 · Cited by 90
Self-citation
Accelerometer-Measured Versus Self-reported Physical Activity in College Students: Implications for Research and Practice
Downs, A., Hoomissen, J. D. V., Lafrenz, A. J., & Julka, D. L. (2013) · Journal of American College Health · doi:10.1080/07448481.2013.877018 · Cited by 86
Objectively-measured sedentary time and its association with markers of cardiometabolic health and fitness among cardiac rehabilitation graduates
Prince, S. A., Blanchard, C. M., Grace, S. L., & Reid, R. D. (2016) · European Journal of Preventive Cardiology · doi:10.1177/2047487315617101 · Cited by 83
Longer sitting time and low physical activity are closely associated with chronic low back pain in population over 50 years of age: a cross-sectional study using the sixth Korea National Health and Nutrition Examination Survey
Park, S., Kim, H., Jeong, H., Kim, H., Chang, B., Lee, C., & Yeom, J. S. (2018) · The Spine Journal · doi:10.1016/j.spinee.2018.04.003 · Cited by 84
Dose–response association between moderate to vigorous physical activity and incident morbidity and mortality for individuals with a different cardiovascular health status: A cohort study among 142,493 adults from the Netherlands
Bakker, E. A., Lee, D.-C., Hopman, M. T. E., Oymans, E. J., Watson, P. M., Thompson, P. D., Thijssen, D. H. J., & Eijsvogels, T. M. H. (2021) · PLoS Medicine · doi:10.1371/journal.pmed.1003845 · Cited by 82
Objective Assessment of Physical Activity
Kerr, J., Patterson, R. E., Ellis, K., Godbole, S. V., JOHNSON, E., Lanckriet, G. R. G., & STAUDENMAYER, J. W. (2015) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000000841 · Cited by 80
Characteristics of rheumatoid arthritis and its association with major comorbid conditions: cross-sectional study of 502 649 UK Biobank participants
Siebert, S., Lyall, D. M., Mackay, D., Porter, D. R., McInnes, I. B., Sattar, N. A., & Pell, J. P. (2016) · RMD Open · doi:10.1136/rmdopen-2016-000267 · Cited by 79
Association of resistance exercise, independent of and combined with aerobic exercise, with the incidence of metabolic syndrome
Bakker, E. A., Lee, D.-C., Sui, X., Artero, E. G., Ruiz, J. R., Eijsvogels, T. M. H., Lavie, C. J., & Blair, S. N. (2017) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2017.02.018 · Cited by 76
Promoting physical activity in older people in general practice: ProAct65+ cluster randomised controlled trial
Iliffe, S., Kendrick, D., Morris, R. W., Griffin, M., Haworth, D., Carpenter, H., Masud, T., Skelton, D. A., Dinan, S., Bowling, A., et al. (2015) · British Journal of General Practice · doi:10.3399/bjgp15x687361 · Cited by 76
Association between objectively measured sitting time and neck–shoulder pain among blue-collar workers
Hallman, D., Gupta, N., Mathiassen, S. E., & Holtermann, A. (2015) · International Archives of Occupational and Environmental Health · doi:10.1007/s00420-015-1031-4 · Cited by 79
Increasing objectively measured sedentary time increases clustered cardiometabolic risk: a 6 year analysis of the ProActive study
Wijndaele, K., Orrow, G., Ekelund, U., Sharp, S. J., Brage, S., Griffin, S. J., & Simmons, R. K. (2013) · Diabetologia · doi:10.1007/s00125-013-3102-y · Cited by 78
Comparison of self-report versus accelerometer – measured physical activity and sedentary behaviors and their association with body composition in Latin American countries
Ferrari, G., Kovalskys, I., Fisberg, M., Gómez, G., Rigotti, A., Cortés, L. Y., García, M. C. Y., Pareja, R. G., Herrera‐Cuenca, M., Zimberg, I. Z., et al. (2020) · PLoS ONE · doi:10.1371/journal.pone.0232420 · Cited by 78
Socio‐demographic patterning of objectively measured physical activity and sedentary behaviours in eight Latin American countries: Findings from the ELANS study
Ferrari, G., Kovalskys, I., Fisberg, M., Gómez, G., Rigotti, A., Cortés, L. Y., García, M. C. Y., Pareja, R. G., Herrera‐Cuenca, M., Zimberg, I. Z., et al. (2019) · European Journal of Sport Science · doi:10.1080/17461391.2019.1678671 · Cited by 71
Self-citation
Perceived Stress Among Different Occupational Groups and the Interaction with Sedentary Behaviour
Dėdelė, A., Miškinytė, A., Andrušaitytė, S., & Bartkutė, Ž. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16234595 · Cited by 84
The association of major patterns of physical activity, sedentary behavior and sleep with health-related quality of life: A cohort study
Guallar‐Castillón, P., Bayán-Bravo, A., León-Muñoz, L. M., Balboa‐Castillo, T., López‐García, E., Gutiérrez-Fisac, J. L., & Rodríguez‐Artalejo, F. (2014) · Preventive Medicine · doi:10.1016/j.ypmed.2014.08.015 · Cited by 67
Body composition and functional assessment of nutritional status in adults: A narrative review of imaging, impedance, strength and functional techniques
Smith, S., & Madden, A. M. (2016) · Journal of Human Nutrition and Dietetics · doi:10.1111/jhn.12372 · Cited by 67
Socioeconomic status impacts cognitive and socioemotional processes in healthy ageing
Migeot, J., Calivar, M., Granchetti, H. N., Ibáñez, A. M., & Fittipaldi, S. (2022) · Scientific Reports · doi:10.1038/s41598-022-09580-4 · Cited by 66
Physical Activity and Lipid Profile in the ELSA-Brasil Study
da Silva, R. C., Diniz, M. D. F. H. S., Alvim, S., Vidigal, P. G., Fedeli, L., & Barreto, S. M. (2016) · Arquivos Brasileiros de Cardiologia · doi:10.5935/abc.20160091 · Cited by 70
Should Physical Activity Recommendations for South Asian Adults Be Ethnicity-Specific? Evidence from a Cross-Sectional Study of South Asian and White European Men and Women
Iliodromiti, S., Ghouri, N., Celis-Morales, C. A., Sattar, N. A., Lumsden, M. A., & Gill, J. M. R. (2016) · PLoS ONE · doi:10.1371/journal.pone.0160024 · Cited by 70
Self-citation
The cross‐sectional associations between objectively measured sedentary time and cardiometabolic health markers in adults – a systematic review with meta‐analysis component
Powell, C., Herring, M. P., Dowd, K. P., Donnelly, A. E., & Carson, B. P. (2018) · Obesity Reviews · doi:10.1111/obr.12642 · Cited by 66
Raising the Priority of Lifestyle-Related Noncommunicable Diseases in Physical Therapy Curricula
Dean, E., Greig, A. M., Murphy, S., Roots, R., Nembhard, N., Rankin, A. E., Bainbridge, L., Anthony, J. S., Hoens, A. M., & Garland, S. J. (2016) · Physical Therapy · doi:10.2522/ptj.20150141 · Cited by 64
Lower cardiorespiratory fitness contributes to increased insulin resistance and fasting glycaemia in middle-aged South Asian compared with European men living in the UK
Ghouri, N., Purves, D. G., McConnachie, A., Wilson, J. W., Gill, J. M. R., & Sattar, N. A. (2013) · Diabetologia · doi:10.1007/s00125-013-2969-y · Cited by 64
Self-citation
Automatic identification of physical activity types and sedentary behaviors from triaxial accelerometer: laboratory-based calibrations are not enough
Bastian, T., Maire, A., Dugas, J., Ataya, A., Villars, C., Gris, F., Perrin, E., Caritu, Y., Doron, M., Blanc, S., et al. (2015) · Journal of Applied Physiology · doi:10.1152/japplphysiol.01189.2013 · Cited by 63
Validity of questionnaire-based assessment of sedentary behaviour and physical activity in a population-based cohort of older men; comparisons with objectively measured physical activity data
Jefferis, B. J. M. H., Sartini, C., Ash, S., LENNON, L. T., Wannamethee, S. G., & Whincup, P. H. (2016) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-016-0338-1 · Cited by 62
Is questionnaire-based sitting time inaccurate and can it be improved? A cross-sectional investigation using accelerometer-based sitting time
Gupta, N., Christiansen, C. S., Hanisch, C., Bay, H., Burr, H., & Holtermann, A. (2017) · BMJ Open · doi:10.1136/bmjopen-2016-013251 · Cited by 63
Identifying associations between sedentary time and cardio-metabolic risk factors in working adults using objective and subjective measures: a cross-sectional analysis
Honda, T., Chen, S., Kishimoto, H., Narazaki, K., & Kumagai, S. (2014) · BMC Public Health · doi:10.1186/1471-2458-14-1307 · Cited by 61
Sitting time and cardiometabolic risk in US adults: associations by sex, race, socioeconomic status and activity level
Staiano, A. E., Harrington, D. M., Barreira, T. V., & Katzmarzyk, P. T. (2013) · British Journal of Sports Medicine · doi:10.1136/bjsports-2012-091896 · Cited by 65
Associations of objectively measured sitting and standing with low-back pain intensity: a 6-month follow-up of construction and healthcare workers
Lunde, L.-K., Koch, M., Knardahl, S., & Veiersted, K. B. (2017) · Scandinavian Journal of Work Environment & Health · doi:10.5271/sjweh.3628 · Cited by 61
Physical Activity and Renal Transplantation
Bellizzi, V., Cupisti, A., Capitanini, A., Calella, P., & D’Alessandro, C. (2014) · Kidney & Blood Pressure Research · doi:10.1159/000355799 · Cited by 60
TAxonomy of Self-reported Sedentary behaviour Tools (TASST) framework for development, comparison and evaluation of self-report tools: content analysis and systematic review
Dall, P., Coulter, E. H., Fitzsimons, C., Skelton, D. A., & CHASTIN, S. F. M. (2017) · BMJ Open · doi:10.1136/bmjopen-2016-013844 · Cited by 65
Association of daily composition of physical activity and sedentary behaviour with incidence of cardiovascular disease in older adults
Yerramalla, M. S., McGregor, D., van Hees, V. T., Fayossé, A., Dugravot, A., Tabák, Á. G., Chen, M., CHASTIN, S. F. M., & Sabia, S. (2021) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-021-01157-0 · Cited by 63
The frequency of osteogenic activities and the pattern of intermittence between periods of physical activity and sedentary behaviour affects bone mineral content: the cross-sectional NHANES study
CHASTIN, S. F. M., Mandrichenko, O., & Skelton, D. A. (2014) · BMC Public Health · doi:10.1186/1471-2458-14-4 · Cited by 61
A randomized trial of diet and physical activity in women treated for stage II–IV ovarian cancer: Rationale and design of the Lifestyle Intervention for Ovarian Cancer Enhanced Survival (LIVES): An NRG Oncology/Gynecologic Oncology Group (GOG-225) Study
Thomson, C. A., Crane, T. E., Miller, A., Garcia, D. O., Basen-Engquist, K. M., & Alberts, D. S. (2016) · Contemporary Clinical Trials · doi:10.1016/j.cct.2016.07.005 · Cited by 59
Combined effect of physical activity and leisure time sitting on long-term risk of incident obesity and metabolic risk factor clustering
Bell, J. A., Hamer, M., Batty, G. D., Singh‐Manoux, A., Sabia, S., & Mika Kivimaki, B. (2014) · Diabetologia · doi:10.1007/s00125-014-3323-8 · Cited by 65
Use of Compositional Data Analysis to Show Estimated Changes in Cardiometabolic Health by Reallocating Time to Light-Intensity Physical Activity in Older Adults
Powell, C., Browne, L., Carson, B. P., Dowd, K., Perry, I. J., Kearney, P. M., Harrington, J. M., & Donnelly, A. (2019) · Sports Medicine · doi:10.1007/s40279-019-01153-2 · Cited by 56
Physical activity, ethnicity and cardio-metabolic health: Does one size fit all?
Gill, J. M. R., Celis-Morales, C. A., & Ghouri, N. (2013) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2013.11.039 · Cited by 59
Self-citation
Comparison of Self-Reported and Accelerometer-Assessed Physical Activity in Older Women
Shiroma, E. J., Cook, N. R., Manson, J. E., Buring, J. E., Rimm, E. B., & Lee, I.-M. M. (2015) · PLoS ONE · doi:10.1371/journal.pone.0145950 · Cited by 60
Objectively Measured Physical Activity, Sedentary Behavior, and Metabolic Syndrome in Adults: Systematic Review of Observational Evidence
Amirfaiz, S., & Shahril, M. R. (2018) · Metabolic Syndrome and Related Disorders · doi:10.1089/met.2018.0032 · Cited by 60
Active and Sedentary Behaviors Influence Feelings of Energy and Fatigue in Women
Ellingson, L. D., Kuffel, A. E., Vack, N. J., & Cook, D. B. (2013) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e3182a036ab · Cited by 62
Examination of Different Accelerometer Cut-Points for Assessing Sedentary Behaviors in Children
Kim, Y., Lee, J. M., Peters, B. P., Gaesser, G. A., & Welk, G. J. (2014) · PLoS ONE · doi:10.1371/journal.pone.0090630 · Cited by 54
The accuracy of self-reported physical activity questionnaires varies with sex and body mass index
Quinlan, C., Rattray, B., Pryor, D. J., Northey, J. M., Anstey, K. J., Butterworth, P., & Cherbuin, N. (2021) · PLoS ONE · doi:10.1371/journal.pone.0256008 · Cited by 60
The Relationship Between Physical Activity and Metabolic Syndrome in People With Chronic Obstructive Pulmonary Disease
Park, S. K., & Larson, J. L. (2013) · The Journal of Cardiovascular Nursing · doi:10.1097/jcn.0000000000000096 · Cited by 57
CdTe quantum dots prepared using herbal species and microorganisms and their anti-cancer, drug delivery and antibacterial applications; a review
Akbari, M., Rahimi-Nasrabadi, M., Pourmasud, S., Eghbali‐Arani, M., Banafshe, H. R., Ahmadi, F., Ganjali, M. R., & Nasab, A. S. (2020) · Ceramics International · doi:10.1016/j.ceramint.2020.01.051 · Cited by 54
How many days are enough for measuring weekly activity behaviours with the ActivPAL in adults?
Aguilar-Farías, N., Martino-Fuentealba, P., Salom-Diaz, N., & Brown, W. J. (2018) · Journal of science and medicine in sport · doi:10.1016/j.jsams.2018.12.004 · Cited by 53
Neighbourhood environment, sitting time and motorised transport in older adults: a cross-sectional study in Hong Kong
Barnett, A. H., Cerin, E., Ching, C. S.-K., Johnston, J. M., & Lee, R. S. Y. (2015) · BMJ Open · doi:10.1136/bmjopen-2014-007557 · Cited by 52
Validity of the Physical Activity Questionnaires IPAQ-SF and GPAQ for Cancer Survivors: Insights from a Spanish Cohort
Ruiz‐Casado, A., Alejo, L. B., Santos‐Lozano, A., Soria, A., Ortega, M., Aldazabal, I. P., Fiuza‐Luces, C., Palomo, I., Garatachea, N., Cebolla, H., et al. (2016) · International Journal of Sports Medicine · doi:10.1055/s-0042-103967 · Cited by 52
The association between sedentary behaviour, physical activity and type 2 diabetes markers: A systematic review of mixed analytic approaches
Cavallo, F. R., Golden, C., Pearson-Stuttard, J., Falconer, C., & Toumazou, C. (2022) · PLOS ONE · doi:10.1371/journal.pone.0268289 · Cited by 51
Predicting self-monitoring skills using textual posts on Facebook
He, Q., Glas, C. A. W., Kosiński, M., Stillwell, D. J., & Veldkamp, B. P. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2013.12.026 · Cited by 51

Authors: Celis-Morales, C. A., Perez-Bravo, F., Ibañez, L., Salas, C., Bailey, M. E. S., & Gill, J. M. R.
Affiliations: University of Glasgow (GB)
University of Concepción (CL)
Corresponding author: Gill, Jason M. R.
ORCID: Celis-Morales, Carlos A.
Salas, Carlos
Bailey, Mark E. S.
Gill, Jason M. R.
Venue: PLoS ONE
Publisher: Public Library of Science (PLoS)
Published: 2012-05-09
Volume: 7
Issue: 5
Pages: e36345
ISSN: 1932-6203 (ISSN-L)
DOI: 10.1371/journal.pone.0036345
PMC: PMC3348936
OpenAlex: W2156132533
Cited by: 486
References: 33
Citations by year: 2026: 12 · 2025: 12 · 2024: 31 · 2023: 25 · 2022: 28 · 2021: 41 · 2020: 53 · 2019: 40 · 2018: 41 · 2017: 49 · 2016: 47 · 2015: 48 · 2014: 33 · 2013: 24
FWCI: 22.51
Type: journal article
Language: en
Open access: gold
doi.org
Licence: cc-by
creativecommons.org/licenses/by/4.0/ (unspecified)
Locations: PLoS ONE (publishedVersion, cc-by)
PubMed Central (publishedVersion, cc-by)
PubMed (publishedVersion)
ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (acceptedVersion)
DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Universidad de Chile (submittedVersion, cc-by-nc-nd)
Newcastle University ePrints (Newcastle Univesity) (cc-by)
Topics: Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
Keywords: physical activity measurement, sedentary behavior, accelerometer, International Physical Activity Questionnaire, self-reported activity, moderate-to-vigorous physical activity, cardiometabolic risk factors, insulin resistance, HOMA-IR, insulin, triglycerides, HDL cholesterol, LDL cholesterol, waist circumference, body fat percentage, measurement bias
MeSH terms: Adolescent, Adult, Aged, Blood Glucose, Blood Pressure, Fasting, Female, Humans, Insulin, Insulin Resistance, Cholesterol, HDL, Cholesterol, LDL, Middle Aged, Motor Activity, Risk Factors, Triglycerides, Vascular Diseases, Biomarkers, Metabolic Syndrome, Self Report

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Objective vs. Self-Reported Physical Activity and Sedentary Time: Effects of Measurement Method on Relationships with Risk Biomarkers

Abstract

Overview

Integrity signals

Figures

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks