The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Television Viewing and Risk of Type 2 Diabetes, Cardiovascular Disease, and All-Cause Mortality: A Meta-analysis
Open accessAbstract
CONTEXT: Prolonged television (TV) viewing is the most prevalent and pervasive sedentary behavior in industrialized countries and has been associated with morbidity and mortality. However, a systematic and quantitative assessment of published studies is not available. OBJECTIVE: To perform a meta-analysis of all prospective cohort studies to determine the association between TV viewing and risk of type 2 diabetes, fatal or nonfatal cardiovascular disease, and all-cause mortality. DATA SOURCES AND STUDY SELECTION: Relevant studies were identified by searches of the MEDLINE database from 1970 to March 2011 and the EMBASE database from 1974 to March 2011 without restrictions and by reviewing reference lists from retrieved articles. Cohort studies that reported relative risk estimates with 95% confidence intervals (CIs) for the associations of interest were included. DATA EXTRACTION: Data were extracted independently by each author and summary estimates of association were obtained using a random-effects model. DATA SYNTHESIS: Of the 8 studies included, 4 reported results on type 2 diabetes (175,938 individuals; 6428 incident cases during 1.1 million person-years of follow-up), 4 reported on fatal or nonfatal cardiovascular disease (34,253 individuals; 1052 incident cases), and 3 reported on all-cause mortality (26,509 individuals; 1879 deaths during 202,353 person-years of follow-up). The pooled relative risks per 2 hours of TV viewing per day were 1.20 (95% CI, 1.14-1.27) for type 2 diabetes, 1.15 (95% CI, 1.06-1.23) for fatal or nonfatal cardiovascular disease, and 1.13 (95% CI, 1.07-1.18) for all-cause mortality. While the associations between time spent viewing TV and risk of type 2 diabetes and cardiovascular disease were linear, the risk of all-cause mortality appeared to increase with TV viewing duration of greater than 3 hours per day. The estimated absolute risk differences per every 2 hours of TV viewing per day were 176 cases of type 2 diabetes per 100,000 individuals per year, 38 cases of fatal cardiovascular disease per 100,000 individuals per year, and 104 deaths for all-cause mortality per 100,000 individuals per year. CONCLUSION: Prolonged TV viewing was associated with increased risk of type 2 diabetes, cardiovascular disease, and all-cause mortality.
Overview
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
Cites
Statistics
Verification
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?
In the citing paper
“and a 57% reduced risk of the composite end point (P=0.02; included nonfatal MI, stroke, and CVD death).71”
From Heart Disease and Stroke Statistics—2013 Update: A Report From the American Heart Association (2013) · cites this paper as [71]
In the citing paper
“Long-term follow-up data from the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications Study Research Group showed that intensive versus conventional treatment in the Diabetes Control and Complications Trial was associated with a 42% reduced risk of CVD (P=0.02)”
From Heart Disease and Stroke Statistics—2013 Update: A Report From the American Heart Association (2013) · cites this paper as [71]
In the citing paper
“A growing body of literature suggests high sitting time is associated with higher risk of adverse health outcomes, including cardiovascular disease, type 2 diabetes, cancer and mortality, even after adjustment for moderate-to-vigorous physical activity[8-13].”
From Daily Sitting Time and All-Cause Mortality: A Meta-Analysis (2013) · cites this paper as [13]
In the citing paper
“They found a pooled hazard ratio of 1.13 per 2-hour increase in TV-viewing per day for all-cause mortality.”
From Daily Sitting Time and All-Cause Mortality: A Meta-Analysis (2013) · cites this paper as [13]
In the citing paper
“The main limitation of this meta-analysis is the small number of studies included, although this was greater than in some previous meta-analyses[13,15].”
From Daily Sitting Time and All-Cause Mortality: A Meta-Analysis (2013) · cites this paper as [13]
In the citing paper
“The findings of this meta-analysis are consistent with a meta-analysis of three studies on TV-viewing and mortality[13], which showed a pooled HR for all cause mortality of 1.13 per two hour increase of TV-viewing.”
From Daily Sitting Time and All-Cause Mortality: A Meta-Analysis (2013) · cites this paper as [13]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Bias in meta-analysis detected by a simple, graphical test
Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997) · BMJ · doi:10.1136/bmj.315.7109.629 · Cited by 56,722
Quantifying heterogeneity in a meta‐analysis
Higgins, J. P. T., & Thompson, S. G. (2002) · Statistics in Medicine · doi:10.1002/sim.1186 · Cited by 36,763
Meta-analysis of Observational Studies in Epidemiology<SUBTITLE>A Proposal for Reporting</SUBTITLE>
Stroup, D. F. (2000) · JAMA · doi:10.1001/jama.283.15.2008 · Cited by 20,623
Heart Disease and Stroke Statistics—2011 Update: A Report From the American Heart Association
Roger, V. L., Go, A. S., Lloyd-Jones, D. M., Adams, R. J., Berry, J. D., Brown, T. M., Carnethon, M. R., Dai, S., de Simone, G., Ford, E. S., et al. (2011) · Circulation · doi:10.1161/cir.0b013e3182009701 · Cited by 6,149
Hu, F. B., Li, T. Y., Colditz, G. A., Willett, W. C., & Manson, J. E. (2003) · JAMA · doi:10.1001/jama.289.14.1785 · Cited by 1,892
Reducing Children's Television Viewing to Prevent Obesity: A Randomized Controlled Trial
Robinson, T. N. (1999) · JAMA · doi:10.1001/jama.282.16.1561 · Cited by 1,838
Sitting time and mortality from all causes, cardiovascular disease, and cancer
KATZMARZYK, P. T., CHURCH, T. S., CRAIG, C. L., & BOUCHARD, C. (2009) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e3181930355 · Cited by 1,611
Walking Compared with Vigorous Exercise for the Prevention of Cardiovascular Events in Women
Manson, J. E., Greenland, P., LaCroix, A. Z., Stefanick, M. L., Mouton, C. P., Oberman, A., Perri, M. G., Sheps, D. S., Pettinger, M. B., & Siscovick, D. S. (2002) · New England Journal of Medicine · doi:10.1056/nejmoa021067 · Cited by 1,349
Generalized Least Squares for Trend Estimation of Summarized Dose–response Data
Orsini, N., Bellocco, R., & Greenland, S. (2006) · The Stata Journal Promoting communications on statistics and Stata · doi:10.1177/1536867x0600600103 · Cited by 1,248
Priming effects of television food advertising on eating behavior.
Harris, J. L., Bargh, J. A., & Brownell, K. D. (2009) · Health Psychology · doi:10.1037/a0014399 · Cited by 945
Flagged first, then by citations
Cited by
Sorted by citations
Items 101–200 of 872
Zhao, R., Bu, W., Chen, Y., & Chen, X. (2019) · The journal of nutrition health & aging · doi:10.1007/s12603-019-1298-3 · Cited by 111
Ahmadi‐Abhari, S., Sabia, S., Shipley, M. J., Mika Kivimaki, B., Singh‐Manoux, A., Tabák, Á. G., McEniery, C. M., Wilkinson, I. B., & Brunner, E. J. (2017) · Journal of the American Heart Association · doi:10.1161/jaha.117.005974 · Cited by 108
Relationship Between Sedentary Behavior and Cardiovascular Risk
Same, R. V., Feldman, D. I., Shah, N. P., Martin, S. S., Rifai, M. A., Blaha, M. J., Graham, G. N., & Ahmed, H. M. (2015) · Current Cardiology Reports · doi:10.1007/s11886-015-0678-5 · Cited by 121
Correlates of sedentary behaviour in university students: A systematic review
Castro, Ó., Bennie, J. A., Vergeer, I., Bosselut, G., & Biddle, S. (2018) · Preventive Medicine · doi:10.1016/j.ypmed.2018.09.016 · Cited by 128
Wu, L., Sun, D., & He, Y. (2016) · Journal of Human Hypertension · doi:10.1038/jhh.2016.44 · Cited by 107
Jago, R., Edwards, M. J., Urbanski, C. R., & Sebire, S. J. (2013) · Childhood Obesity · doi:10.1089/chi.2013.0031 · Cited by 106
Bakrania, K., Edwardson, C. L., Bodicoat, D. H., Esliger, D. W., Gill, J. M. R., Kazi, A., Velayudhan, L., Sinclair, A. J., Sattar, N., Biddle, S. J. H., et al. (2015) · BMC Public Health · doi:10.1186/s12889-016-2694-9 · Cited by 106
Barwais, F. A., Cuddihy, T. F., & Tomson, L. (2013) · Health and Quality of Life Outcomes · doi:10.1186/1477-7525-11-183 · Cited by 104
Guo, C., Zhou, Q., Zhang, D., Qin, P., Li, Q., Tian, G., Liu, D., Chen, X., Liu, L., Liu, F., et al. (2019) · Diabetes Obesity and Metabolism · doi:10.1111/dom.13867 · Cited by 116
Lee, P. H., & Wong, F. K. Y. (2015) · Sports Medicine · doi:10.1007/s40279-015-0322-y · Cited by 102
Cong, Y., Gan, Y., Sun, H.-L., Deng, J. L., Cao, S., Xu, X., & Lu, Z. (2013) · British Journal of Cancer · doi:10.1038/bjc.2013.709 · Cited by 114
Thomsen, T., Aadahl, M., Beyer, N., Hetland, M. L., Løppenthin, K. B., Midtgaard, J., Christensen, R., Østergaard, M., Jennum, P., & Esbensen, B. A. (2017) · Annals of the Rheumatic Diseases · doi:10.1136/annrheumdis-2016-210953 · Cited by 105
Iso‐Ahola, S. E., & Baumeister, R. F. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1074649 · Cited by 106
Sedentary behavior in Brazilian children and adolescents: a systematic review
Guerra, P. H., Júnior, J. C. D. F., & Florindo, A. A. (2016) · Revista de Saúde Pública · doi:10.1590/s1518-8787.2016050006307 · Cited by 100
Chaput, J., Saunders, T. J., Mathieu, M.-E., Henderson, M., Tremblay, M. S., O’Loughlin, J. L., & Tremblay, A. (2013) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/apnm-2012-0382 · Cited by 110
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
Altenburg, T. M., Rotteveel, J., Dunstan, D. W., Salmon, J., & Chinapaw, M. J. M. (2013) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00662.2013 · Cited by 106
Interventions to Reduce Sedentary Behavior
Manini, T. M., Carr, L. J., King, A. C., Marshall, S. J., Robinson, T. N., & Rejeski, W. J. (2014) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000000519 · Cited by 107
Bakrania, K., Edwardson, C. L., Khunti, K., Bandelow, S., Davies, M. J., & Yates, T. E. (2017) · American Journal of Epidemiology · doi:10.1093/aje/kwx273 · Cited by 99
Hoang, T. D. M., Reis, J. P., Zhu, N., Jacobs, D. R., Launer, L. J., Whitmer, R. A., Sidney, S., & Yaffe, K. S. (2015) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2015.2468 · Cited by 104
Shuval, K., Finley, C. E., Barlow, C. E., Gabriel, K. P., Leonard, D. S., & Kohl, H. W. (2014) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2014.04.026 · Cited by 95
Reducing Recreational Sedentary Screen Time
Buchanan, L. R., Rooks-Peck, C. R., Finnie, R. K. C., Wethington, H. R., Jacob, V., Fulton, J. E., Johnson, D. B., Kahwati, L. C., PRATT, C. A., Ramı́rez, G., et al. (2016) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2015.09.030 · Cited by 95
The effect of interventions targeting screen time reduction: A systematic review and meta-analysis
Wu, L., Sun, S., He, Y., & Jiang, B. (2016) · Medicine · doi:10.1097/md.0000000000004029 · Cited by 95
Effect of exercise on the quality of life in type 2 diabetes mellitus: a systematic review
Cai, H., Li, G., Zhang, P., Xu, D., & Chen, L. (2016) · Quality of Life Research · doi:10.1007/s11136-016-1481-5 · Cited by 103
Screen time is associated with adiposity and insulin resistance in children
Nightingale, C. M., Rudnicka, A. R., Donin, A. S., Sattar, N., Cook, D. G., Whincup, P. H., & Owen, C. G. (2017) · Archives of Disease in Childhood · doi:10.1136/archdischild-2016-312016 · Cited by 93
Television Viewing, Computer Use, Time Driving and All‐Cause Mortality: The SUN Cohort
Basterra‐Gortari, F. J., Bes‐Rastrollo, M., Gea, A., Núñez-Córdoba, J. M., Toledo, E., & Martínez‐González, M. Á. (2014) · Journal of the American Heart Association · doi:10.1161/jaha.114.000864 · Cited by 98
Tea consumption and risk of type 2 diabetes mellitus: a systematic review and meta-analysis update
Yang, J., Mao, Q., Xu, H., Ma, X., & Zeng, C. (2014) · BMJ Open · doi:10.1136/bmjopen-2014-005632 · Cited by 93
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
Physical Activity Is Related to Pain Sensitivity in Healthy Women
Ellingson, L. D., Colbert, L. H., & Cook, D. B. (2012) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e318248f648 · Cited by 89
A guide to assessing physical activity using accelerometry in cancer patients
Broderick, J. M., Ryan, J. M., O’Donnell, D. M., & Hussey, J. M. (2014) · Supportive Care in Cancer · doi:10.1007/s00520-013-2102-2 · Cited by 92
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
Parental TV viewing, parental self-efficacy, media equipment and TV viewing among preschool children
Jago, R., Sebire, S. J., Edwards, M. J., & Thompson, J. L. (2013) · European Journal of Pediatrics · doi:10.1007/s00431-013-2077-5 · Cited by 87
Larsen, R. N., Kingwell, B. A., Robinson, C., Hammond, L. J., Cerin, E., Shaw, J. E., Healy, G. N., Hamilton, M. T., Owen, N. G., & Dunstan, D. W. (2015) · Clinical Science · doi:10.1042/cs20140790 · Cited by 87
Chronic disease and sitting time in middle-aged Australian males: findings from the 45 and Up Study
George, E. S., Rosenkranz, R. R., & Kolt, G. S. (2013) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-10-20 · Cited by 97
Goh, S. N., Teh, L. H., Tay, W. R. B., Anantharaman, S., van Dam, R. M., Tan, C. S., Chua, H. L., Wong, P. G., & Müller‐Riemenschneider, F. (2016) · BMJ Open · doi:10.1136/bmjopen-2015-009113 · Cited by 86
Objective measurement of sedentary behaviour using accelerometers
Byrom, B., Stratton, G., Carthy, M. M., & Muehlhausen, W. (2016) · International Journal of Obesity · doi:10.1038/ijo.2016.136 · Cited by 86
Mailey, E. L., Rosenkranz, S. K., Ablah, E. A., Swank, A., & Casey, K. (2017) · Journal of Occupational and Environmental Medicine · doi:10.1097/jom.0000000000001131 · Cited by 87
Chau, J. Y., Merom, D., Grunseit, A. C., Rissel, C. E., Bauman, A. E., & van der Ploeg, H. P. (2012) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-9-76 · Cited by 92
Kim, D., Murag, S., Cholankeril, G., Cheung, A., Harrison, S. A., Younossi, Z. M., & Ahmed, A. (2021) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2020.07.023 · Cited by 86
Too Much Sitting and Cardio-Metabolic Risk: An Update of Epidemiological Evidence
Bauman, A. E., Chau, J. Y., Ding, D., & Bennie, J. A. (2013) · Current Cardiovascular Risk Reports · doi:10.1007/s12170-013-0316-y · Cited by 84
Werneck, A. O., da Silva, D. R. P., Malta, D. C., Gomes, C. S., de Souza-Júnior, P. R., Azevedo, L. O., Barros, M. B. D. A., & Szwarcwald, C. L. (2020) · Public Health Nutrition · doi:10.1017/s1368980020004188 · Cited by 84
Sloan, R. A., Sawada, S. S., Girdano, D. A., Liu, Y. T., Biddle, S., & Blair, S. N. (2013) · BMC Public Health · doi:10.1186/1471-2458-13-885 · Cited by 87
Motivational Counseling to Reduce Sitting Time
Aadahl, M., Linneberg, A. R., Møller, T. C., Rosenørn, S., Dunstan, D. W., Witte, D. R., & Jørgensen, T. (2014) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2014.06.020 · Cited by 77
Stockman, J. A. (2012) · Yearbook of Pediatrics · doi:10.1016/j.yped.2011.10.029 · Cited by 79
Hanyuda, A., Sawada, N., Uchino, M., Kawashima, M., Yuki, K., Tsubota, K., Yamagishi, K., Iso, H., Yasuda, N., Saito, I., et al. (2019) · The Ocular Surface · doi:10.1016/j.jtos.2019.09.007 · Cited by 80
Prevention of Weight Regain Following Bariatric Surgery
Kushner, R. F., & Sorensen, K. W. (2015) · Current Obesity Reports · doi:10.1007/s13679-015-0146-y · Cited by 81
Rosique-Esteban, N., Díaz‐López, A., Martínez‐González, M. Á., Corella, D., Goday, A., Martínez, J. A., Romaguera, D., Vioqué, J., Arós, F., García‐Ríos, A., et al. (2017) · PLoS ONE · doi:10.1371/journal.pone.0172253 · Cited by 74
Luo, Y., Lee, B., Wohn, D. Y., Rebar, A. L., Conroy, D. E., & Choe, E. K. (2018) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3173701 · Cited by 87
Older adults’ reporting of specific sedentary behaviors: validity and reliability
Cauwenberg, J. V., Holle, V. V., Bourdeaudhuij, I. D., Owen, N. G., & Deforche, B. I. (2014) · BMC Public Health · doi:10.1186/1471-2458-14-734 · Cited by 89
Germano-Soares, A. H., Andrade-Lima, A., Menêses, A. L., Correia, M. D. A., Parmenter, B. J., Tassitano, R. M., Cucato, G. G., & Ritti‐Dias, R. M. (2018) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2018.01.009 · Cited by 75
Loveday, A., Sherar, L. B., Sanders, J. P., Sanderson, P. W., & Esliger, D. W. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.4761 · Cited by 70
Fritschi, C., Park, H., Richardson, A., Park, C., Collins, E. G., Mermelstein, R. J., Riesche, L., & Quinn, L. (2015) · Biological Research For Nursing · doi:10.1177/1099800415600065 · Cited by 74
Aadahl, M., Andreasen, A. H., Hammer-Helmich, L., Buhelt, L. P., Jørgensen, T., & Glümer, C. (2013) · Scandinavian Journal of Public Health · doi:10.1177/1403494813493151 · Cited by 76
Campbell, S., Brosnan, B. J., Chu, A. K. Y., Skeaff, C. M., Rehrer, N. J., Perry, T., & Peddie, M. C. (2017) · Sports Medicine · doi:10.1007/s40279-017-0828-6 · Cited by 73
Wrosch, C., & Sabiston, C. M. (2012) · Psycho-Oncology · doi:10.1002/pon.3037 · Cited by 81
Tobin, E. T., & Slatcher, R. B. (2016) · Health Psychology · doi:10.1037/hea0000372 · Cited by 72
Letter to the Editor: Standardized use of the terms “sedentary” and “sedentary behaviours”
Sedentary Behaviour Research Network (2013) · Mental health and physical activity · doi:10.1016/j.mhpa.2012.06.001 · Cited by 78
Peddie, M. C., Kessell, C., Bergen, T., Gibbons, T. D., Campbell, H. A., Cotter, J. D., Rehrer, N. J., & Thomas, K. N. (2021) · PLoS ONE · doi:10.1371/journal.pone.0244841 · Cited by 71
Kilpatrick, M., Sanderson, K. A., Blizzard, L., Teale, B., & Venn, A. (2013) · Mental health and physical activity · doi:10.1016/j.mhpa.2013.06.004 · Cited by 79
Sun, J., Zhao, L., Yang, Y., Ma, X., Wang, Y., & Xiang, Y. (2015) · American Journal of Epidemiology · doi:10.1093/aje/kwv164 · Cited by 74
Objective and subjective measurement of sedentary behavior in human adults: A toolkit
Aunger, J. A., & Wagnild, J. M. (2020) · American Journal of Human Biology · doi:10.1002/ajhb.23546 · Cited by 76
Sotos‐Prieto, M., Bhupathiraju, S. N., Falcón, L. M., Gao, X., Tucker, K. L., & Mattei, J. (2015) · Journal of Nutrition · doi:10.3945/jn.114.206391 · Cited by 69
CKD and Sedentary Time: Results From the Canadian Health Measures Survey
Glavinovic, T., Ferguson, T. W., Komenda, P. V. J., Rigatto, C., Duhamel, T. A., Tangri, N., & Bohm, C. J. (2018) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2018.03.031 · Cited by 66
de Feijter, D., Khan, V.-J., & van Gisbergen, M. S. (2016) · ACM International Conference on Interactive Experiences for TV and Online Video · doi:10.1145/2932206.2932216 · Cited by 69
Cotten, E., & Harry Prapavessis, A. (2016) · JMIR mhealth and uhealth · doi:10.2196/mhealth.5411 · Cited by 79
The Potential Impact of Displacing Sedentary Time in Adults with Type 2 Diabetes
Falconer, C., Page, A. S., Andrews, R. C., & Cooper, A. R. (2015) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000000651 · Cited by 66
Homer, A. R., Fenemor, S. P., Perry, T., Rehrer, N. J., Cameron, C., Skeaff, C. M., & Peddie, M. C. (2017) · Journal of clinical lipidology · doi:10.1016/j.jacl.2017.06.007 · Cited by 64
Stamatakis, E., Coombs, N. A., Rowlands, A. V., Shelton, N. J., & Hillsdon, M. M. (2014) · BMJ Open · doi:10.1136/bmjopen-2014-006034 · Cited by 67
Standing time and all-cause mortality in a large cohort of Australian adults
van der Ploeg, H. P., Chey, T., Ding, D., Chau, J. Y., Stamatakis, E., & Bauman, A. E. (2014) · Preventive Medicine · doi:10.1016/j.ypmed.2014.10.004 · Cited by 61
Keadle, S. K., Lyden, K. A., STAUDENMAYER, J. W., Hickey, A., Viskochil, R. H., Braun, B., & Freedson, P. S. (2014) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/apnm-2013-0379 · Cited by 65
Khaing, N. E. E., Salim, A., Wu, Y., Tai, E. S., Lee, J., & van Dam, R. M. (2013) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-10-70 · Cited by 63
Is Sedentary Lifestyle Associated With Testicular Function? A Cross-Sectional Study of 1,210 Men
Priskorn, L., Jensen, T. K., Bang, A. K., Nordkap, L., Joensen, U. N., Lassen, T. H., Olesen, I. A., Swan, S. H., Skakkebæk, N. E., & Jørgensen, N. (2016) · American Journal of Epidemiology · doi:10.1093/aje/kwv338 · Cited by 65
Vatier, C., Hénégar, C., Ciangura, C., Poitou, C., Bouillot, J., Basdevant, A., & Oppert, J. (2012) · Obesity Surgery · doi:10.1007/s11695-012-0619-y · Cited by 62
Causes of Death Associated With Prolonged TV Viewing
Keadle, S. K., Moore, S. C., Sampson, J. N., Xiao, Q., Albanes, D., & Matthews, C. E. (2015) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2015.05.023 · Cited by 62
Mackenzie, K., Goyder, E., & Eves, F. (2015) · BMC Public Health · doi:10.1186/s12889-015-2635-z · Cited by 68
Verweij, L. M., Proper, K. I., Weel, A., Hulshof, C. T. J., & van Mechelen, W. (2012) · Occupational and Environmental Medicine · doi:10.1136/oemed-2011-100377 · Cited by 61
Biddle, G. J. H., Edwardson, C. L., Henson, J. J., Davies, M. J., Khunti, K., Rowlands, A. V., & Yates, T. E. (2018) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph15102280 · Cited by 62
Childhood correlates of adult TV viewing time: a 32-year follow-up of the 1970 British Cohort Study
Smith, L., Gardner, B., & Hamer, M. (2014) · Journal of Epidemiology & Community Health · doi:10.1136/jech-2014-204365 · Cited by 58
Babaei, P., & Azari, H. B. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2021.771553 · Cited by 64
Development and testing of a past year measure of sedentary behavior: the SIT-Q
Lynch, B. M., Friedenreich, C. M., Khandwala, F., Liu, A., Nicholas, J., & Csizmadi, I. (2014) · BMC Public Health · doi:10.1186/1471-2458-14-899 · Cited by 64
Stamatakis, E., Hamer, M., & Mishra, G. D. (2011) · Diabetologia · doi:10.1007/s00125-011-2358-3 · Cited by 55
Edelson, L. R., Mathias, K. C., Fulgoni, V. L. I., & Karagounis, L. G. (2015) · BMC Public Health · doi:10.1186/s12889-016-2791-9 · Cited by 56
Sardinha, L., Magalhães, J., Santos, D., & Júdice, P. (2017) · Frontiers in Physiology · doi:10.3389/fphys.2017.00262 · Cited by 57
Løppenthin, K. B., Esbensen, B. A., Østergaard, M., Jennum, P., Tolver, A., Aadahl, M., Thomsen, T., & Midtgaard, J. (2015) · Rheumatology International · doi:10.1007/s00296-015-3274-5 · Cited by 56
Wu, Z., Huang, Z., Wu, Y., Huang, S., Wang, Y., Zhao, H., Chen, S., Wu, S., & Gao, X. (2018) · European Journal of Preventive Cardiology · doi:10.1177/2047487318804611 · Cited by 55
Tabacchi, G., Sánchez, G. F. L., Şahin, F. N., Kızılyallı, M., Genchi, R., Basile, M., Kirkar, M., Silva, C., Loureiro, N., Teixeira, E., et al. (2019) · Sustainability · doi:10.3390/su11247187 · Cited by 54
Hamer, M., & Stamatakis, E. (2012) · Circulation Cardiovascular Quality and Outcomes · doi:10.1161/circoutcomes.112.965434 · Cited by 55
Mahaboob, P. K. (2014) · ADVANCED SCIENCES INDEX · Cited by 53
Physical Activity in Preventing Alzheimer’s Disease and Cognitive Decline: A Narrative Review
Brini, S., Sohrabi, H. R., Peiffer, J. J., Karrasch, M., Hämäläinen, H., Martins, R. N., & Fairchild, T. J. (2017) · Sports Medicine · doi:10.1007/s40279-017-0787-y · Cited by 62
Li, X., Zhou, T., Ma, H., Liang, Z., Fonseca, V. A., & Qi, L. (2021) · Diabetes Care · doi:10.2337/dc21-0455 · Cited by 53
DNA Methylation and Type 2 Diabetes: Novel Biomarkers for Risk Assessment?
Raciti, G. A., Desiderio, A., Longo, M., Leone, A., Zatterale, F., Prevenzano, I., Miele, C., Napoli, R., & Bèguinot, F. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222111652 · Cited by 56
Prolonged sitting in cars: Prevalence, socio-demographic variations, and trends
Sugiyama, T., Merom, D., van der Ploeg, H. P., Corpuz, G., Bauman, A. E., & Owen, N. G. (2012) · Preventive Medicine · doi:10.1016/j.ypmed.2012.07.026 · Cited by 55
Television viewing, C-reactive protein, and depressive symptoms in older adults
Hamer, M., Poole, L., & Messerli‐Bürgy, N. (2013) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2013.05.001 · Cited by 52
Increases in Lifestyle Activities as a Result of Experience Corps® Participation
Parisi, J. M., Kuo, J. H., Rebok, G. W., Xue, Q., Fried, L. P., Gruenewald, T. L., Huang, J., Seeman, T. E., Roth, D. L., Tanner, E. K., et al. (2014) · Journal of Urban Health · doi:10.1007/s11524-014-9918-z · Cited by 55
Zhang, L., Zhang, X., Zheng, J., Wang, L., Zhang, H., Wang, L., & Wang, G. (2016) · Journal of Thoracic Disease · doi:10.21037/jtd.2016.04.68 · Cited by 51
Pulse-Wave-Pattern Classification with a Convolutional Neural Network
Li, G., Watanabe, K., Anzai, H., Song, X., Qiao, A., & Ohta, M. (2019) · Scientific Reports · doi:10.1038/s41598-019-51334-2 · Cited by 54
Macera, C. A., Cavanaugh, A. M., & Bellettiere, J. (2015) · American Journal of Lifestyle Medicine · doi:10.1177/1559827615571897 · Cited by 58
Costa, R. M., & Brody, S. (2013) · Psychiatry Research · doi:10.1016/j.psychres.2013.06.035 · Cited by 50
Shibata, A., Oka, K., Sugiyama, T., Ding, D., Salmon, J., Dunstan, D. W., & Owen, N. G. (2015) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-015-0208-2 · Cited by 52
Prevalence of ideal cardiovascular health in European adolescents: The HELENA study
Henriksson, P., Henriksson, H., Gracia‐Marco, L., Labayen, I., Ortega, F. B., Huybrechts, I., España‐Romero, V., Μanios, Y., Widhalm, K., Dallongeville, J., et al. (2017) · International Journal of Cardiology · doi:10.1016/j.ijcard.2017.03.022 · Cited by 50
Metadata
- Authors
- Grøntved, A.
- Affiliations
- University of Southern Denmark (DK)
- Corresponding author
- Grøntved, Anders
- ORCID
- Grøntved, Anders
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2011-06-15
- Volume
- 305
- Issue
- 23
- Pages
- 2448
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- PMC
- PMC4324728
- OpenAlex
- W2046082414
- Cited by
- 873
- References
- 34
- Citations by year
- 2026: 17 · 2025: 21 · 2024: 45 · 2023: 42 · 2022: 42 · 2021: 60 · 2020: 62 · 2019: 101 · 2018: 54 · 2017: 75 · 2016: 78 · 2015: 83 · 2014: 61 · 2013: 65 · 2012: 59
- FWCI
- 42.11
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- JAMA (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- University of Southern Denmark Research Portal (University of Southern Denmark) (submittedVersion)
- Funders
- National Institute of Diabetes and Digestive and Kidney Diseases (R01DK058845, P30DK046200, P30 DK-46200, DK58845)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
- Social Sciences › Communication › Media Influence and Health
- Keywords
- television viewing, sedentary behavior, type 2 diabetes, cardiovascular disease, all-cause mortality, prospective cohort, relative risk, linear dose-response relationship, health risk assessment, physical inactivity, cardiovascular risk factors, diabetes risk factors, mortality risk assessment
- MeSH terms
- Adult, Aged, Cardiovascular Diseases, Diabetes Mellitus, Type 2, Diet, Humans, Middle Aged, Mortality, Prospective Studies, Television, Time Factors, Exercise, Risk Assessment, Young Adult, Sedentary Behavior
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