Daily sitting time and all-cause mortality: a meta-analysis

Josephine Y Chau, Anne C Grunseit, Tien Chey, Emmanuel Stamatakis, Wendy J Brown, Charles E Matthews, Adrian E Bauman, Hidde P van der Ploeg, Josephine Y Chau, Anne C Grunseit, Tien Chey, Emmanuel Stamatakis, Wendy J Brown, Charles E Matthews, Adrian E Bauman, Hidde P van der Ploeg

Abstract

Objective: To quantify the association between daily total sitting and all-cause mortality risk and to examine dose-response relationships with and without adjustment for moderate-to-vigorous physical activity.

Methods: Studies published from 1989 to January 2013 were identified via searches of multiple databases, reference lists of systematic reviews on sitting and health, and from authors' personal literature databases. We included prospective cohort studies that had total daily sitting time as a quantitative exposure variable, all-cause mortality as the outcome and reported estimates of relative risk, or odds ratios or hazard ratios with 95% confidence intervals. Two authors independently extracted the data and summary estimates of associations were computed using random effects models.

Results: Six studies were included, involving data from 595,086 adults and 29,162 deaths over 3,565,569 person-years of follow-up. Study participants were mainly female, middle-aged or older adults from high-income countries; mean study quality score was 12/15 points. Associations between daily total sitting time and all-cause mortality were not linear. With physical activity adjustment, the spline model of best fit had dose-response HRs of 1.00 (95% CI: 0.98-1.03), 1.02 (95% CI: 0.99-1.05) and 1.05 (95% CI: 1.02-1.08) for every 1-hour increase in sitting time in intervals between 0-3, >3-7 and >7 h/day total sitting, respectively. This model estimated a 34% higher mortality risk for adults sitting 10 h/day, after taking physical activity into account. The overall weighted population attributable fraction for all-cause mortality for total daily sitting time was 5.9%, after adjusting for physical activity.

Conclusions: Higher amounts of daily total sitting time are associated with greater risk of all-cause mortality and moderate-to-vigorous physical activity appears to attenuate the hazardous association. These findings provide a starting point for identifying a threshold on which to base clinical and public health recommendations for overall sitting time, in addition to physical activity guidelines.

Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Figure 1. Selection of studies for inclusion…
Figure 1. Selection of studies for inclusion in the meta-analysis.
Figure 2. Associations of daily total sitting…
Figure 2. Associations of daily total sitting time with all-cause mortality risk with adjustment for physical activity.
A: Spaghetti plot of the raw Hazard Ratios (HR) for all-cause mortality from each study sample, by dose of daily total sitting time, with multivariable adjustment including for physical activity. The bold solid line denotes the pooled HR estimate from the fitted spline model and the dotted lines the 95% confidence limits. B: Forest plot of the HR per-hour increase in sitting with multivariable adjustment including for physical activity. (n=7 samples from 6 studies).
Figure 3. Associations of daily total sitting…
Figure 3. Associations of daily total sitting time with all-cause mortality risk with no adjustment for physical activity.
A: Spaghetti plot of the raw Hazard Ratios (HR) for all-cause mortality from each study sample, by dose of daily total sitting time, with multivariable adjustment but not for physical activity. The bold solid line denotes the pooled HR estimate from the fitted spline model and the dotted lines the 95% confidence limits. B: Forest plot of the HR per-hour increase in sitting with multivariable adjustment but not for physical activity. (n=5 samples from 5 studies).

References

    1. Lee IM, Shiroma EJ, Lobelo F, Puska P, Blair SN et al. (2012) Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. Lancet 380: 219-229. doi:10.1016/S0140-6736(12)61031-9. PubMed: .
    1. Ainsworth BE, Haskell WL, Whitt MC, Irwin ML, Swartz AM et al. (2000) Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sports Exerc 32: S498-S504. doi:10.1097/00005768-200009001-00009. PubMed: .
    1. Sedentary Behaviour Research Network (2012) Standardized use of the terms "sedentary" and "sedentary behaviours". Appl Physiol Nutr Metab 37: 540-542. doi:10.1139/h2012-024. PubMed: .
    1. Matthews CE, Chen KY, Freedson PS, Buchowski MS, Beech BM et al. (2008) Amount of time spent in sedentary behaviors in the United States, 2003-2004. Am J Epidemiol 167: 875-881. doi:10.1093/aje/kwm390. PubMed: .
    1. Colley RC, Garriguet D, Janssen I, Craig CL, Clarke J et al. (2011) Physical activity of Canadian adults: Accelerometer results from the 2007 to 2009 Canadian Health Measures Survey. Health Reports, Statistics Canada, Catalogue no 82-003-XPE. p. 22.
    1. Aresu M, Bécares L, Brage S, Chaudhury M, Doyle-Francis M et al. (2009) Health Survey for England 2008 Volume 1. Physical activity and fitness. UK: The NHS Information Centre for Health and Social Care.
    1. Bauman A, Ainsworth BE, Sallis JF, Hagströmer M, Craig CL et al. (2011) The descriptive epidemiology of sitting – a 20 country comparison using the International Physical Activity Questionnaire (IPAQ). Am J Prev Med 41: 228-235. doi:10.1016/j.amepre.2011.06.005. PubMed: .
    1. Proper KI, Singh AS, van Mechelen W, Chinapaw MJM (2011) Sedentary behaviors and health outcomes among adults: A systematic review of prospective studies. Am J Prev Med 40: 174-182. doi:10.1016/j.amepre.2010.10.015. PubMed: .
    1. Thorp AA, Owen N, Neuhaus M, Dunstan DW (2011) Sedentary behaviors and subsequent health outcomes in adults: A systematic review of longitudinal studies, 1996-2011. Am J Prev Med 41: 207-215. doi:10.1016/j.amepre.2011.05.004. PubMed: .
    1. van der Ploeg HP, Chey T, Korda RJ, Banks E, Bauman AE (2012) Sitting time and all-cause mortality risk in 222,497 Australian adults. Arch Intern Med 172: 494-500. doi:10.1001/archinternmed.2011.2174. PubMed: .
    1. Matthews CE, George SM, Moore SC, Bowles HR, Blair A et al. (2012) Amount of time spent in sedentary behaviors and cause-specific mortality in US adults. Am J Clin Nutr 95: 437-445. doi:10.3945/ajcn.111.019620. PubMed: .
    1. Stamatakis E, Hamer M, Dunstan DW (2011) Screen-based entertainment time, all-cause mortality, and cardiovascular events: Population-based study with ongoing mortality and hospital events follow-up. J Am Coll Cardiol 57: 292-299. doi:10.1016/j.jacc.2010.05.065. PubMed: .
    1. Grøntved A, Hu FB (2011) Television viewing and risk of type 2 diabetes, cardiovascular disease, and all-cause mortality. JAMA 305: 2448-2455. doi:10.1001/jama.2011.812. PubMed: .
    1. WHO (2010) Global recommendations on physical activity for health. Geneva: World Health Organisation.
    1. Katzmarzyk PT, Lee IM (2012) Sedentary behaviour and life expectancy in the USA: a cause-deleted life table analysis. BMJ Open 2: e000828. doi:10.1136/bmjopen-2012-000828. PubMed: .001136/bmjopen-002012-000828
    1. 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. doi:10.1249/MSS.0b013e3181930355. PubMed: .
    1. Patel AV, Bernstein L, Deka A, Feigelson HS, Campbell PT et al. (2010) Leisure time spent sitting in relation to total mortality in a prospective cohort of US adults. Am J Epidemiol 172: 419-429. doi:10.1093/aje/kwq155. PubMed: .
    1. Wilmot EG, Edwardson CL, Achana FA, Davies MJ, Gorely T et al. (2012) Sedentary time in adults and the association with diabetes, cardiovascular disease and death: systematic review and meta-analysis. Diabetologia 55: 2895-2905. doi:10.1007/s00125-012-2677-z. PubMed: .
    1. Stroup DF, Berlin JA, Morton SC, Olkin I, Williamson GD et al. (2000) Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group. JAMA 283: 2008-2012. doi:10.1001/jama.283.15.2008. PubMed: .
    1. Tooth L, Ware R, Bain C, Purdie DM, Dobson A (2005) Quality of reporting of observational longitudinal research. Am J Epidemiol 161: 280-288. doi:10.1093/aje/kwi042. PubMed: .
    1. von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC et al. (2008) The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. J Clin Epidemiol 61: 344-349. doi:10.1016/j.jclinepi.2007.11.008. PubMed: .
    1. Fung AE, Palanki R, Bakri SJ, Depperschmidt E, Gibson A (2009) Applying the CONSORT and STROBE statements to evaluate the reporting quality of neovascular age-related macular degeneration studies. Ophthalmology 116: 286-296.e284
    1. van Uffelen JGZ, Wong J, Chau JY, van der Ploeg HP, Riphagen I et al. (2010) Occupational sitting and health risks: A systematic review. Am J Prev Med 39: 379-388. doi:10.1016/j.amepre.2010.05.024. PubMed: .
    1. Soedamah-Muthu SS, Verberne LD, Ding EL, Engberink MF, Geleijnse JM (2012) Dairy consumption and incidence of hypertension: a dose-response meta-analysis of prospective cohort studies. Hypertension 60: 1131-1137. doi:10.1161/HYPERTENSIONAHA.112.195206. PubMed: .
    1. Orsini N, Bellocco R, Greenland S (2006) Generalized least squares for trend estimation of summarized dose–response data. STATA J 6: 40-57.
    1. Bagnardi V, Zambon A, Quatto P, Corrao G (2004) Flexible meta-regression functions for modeling aggregate dose-response data, with an application to alcohol and mortality. Am J Epidemiol 159: 1077-1086. doi:10.1093/aje/kwh142. PubMed: .
    1. Higgins JPT, Thompson SG, Deeks JJ, Altman DG (2003) Measuring inconsistency in meta-analyses. BMJ 327: 557-560. doi:10.1136/bmj.327.7414.557. PubMed: .
    1. Xue QL, Bandeen-Roche K, Mielenz TJ, Seplaki CL, Szanton SL et al. (2012) Patterns of 12-year change in physical activity levels in community-dwelling older women: can modest levels of physical activity help older women live longer? Am J Epidemiol 176: 534-543. doi:10.1093/aje/kws125. PubMed: .
    1. Weller I, Corey P (1998) The impact of excluding non-leisure energy expenditure on the relation between physical activity and mortality in women. Epidemiology 9: 632-635. doi:10.1097/00001648-199811000-00012. PubMed: .
    1. Koster A, Caserotti P, Patel KV, Matthews CE, Berrigan D et al. (2012) Association of sedentary time with mortality independent of moderate to vigorous physical activity. PLOS ONE 7: e37696. doi:10.1371/journal.pone.0037696. PubMed: .
    1. Healy GN, Clark BK, Winkler EAH, Gardiner PA, Brown WJ et al. (2011) Measurement of adults' sedentary time in population-based studies. Am J Prev Med 41: 216-227. doi:10.1016/j.amepre.2011.05.005. PubMed: .
    1. Pavey TG, Peeters GG, Brown WJ (2012) Sitting-time and 9-year all-cause mortality in older women. Br J Sports Med: ([MedlinePgn:]) doi:10.1136/bjsports-2012-091676. PubMed: .
    1. Chau JY, Grunseit A, Midthjell K, Holmen TL, Holmen J et al. (2013) Sedentary behaviour and risk of mortality from all–causes and cardio-metabolic diseases in adults: evidence from the HUNT3 population cohort. Br J Sports Med (published online first) [May 10, 2013] doi:10.1136/bjsports-2012-091974.
    1. Inoue M, Iso H, Yamamoto S, Kurahashi N, Iwasaki M et al. (2008) Daily total physical activity level and premature death in men and women: results from a large-scale population-based cohort study in Japan (JPHC study). Ann Epidemiol 18: 522-530. doi:10.1016/j.annepidem.2008.03.008. PubMed: .
    1. Ioannidis JP, Trikalinos TA (2007) The appropriateness of asymmetry tests for publication bias in meta-analyses: a large survey. CMAJ 176: 1091-1096. doi:10.1503/cmaj.060410. PubMed: .
    1. Egger M, Davey Smith G, Schneider M, Minder C (1997) Bias in meta-analysis detected by a simple, graphical test. BMJ 315: 629-634. doi:10.1136/bmj.315.7109.629. PubMed: .
    1. Matthews CE, Moore SC, George SM, Sampson J, Bowles HR (2012) Improving self-reports of active and sedentary behaviors in large epidemiologic studies. Exerc Sport Sci Rev 40: 118-126. PubMed: .
    1. Matthews CE, Hagströmer M, Pober DM, Bowles HR (2012) Best practices for using physical activity monitors in population-based research. Med Sci Sports 44: S68-S76. doi:10.1249/MSS.0b013e3182399e5b. PubMed: .
    1. Ng SW, Popkin BM (2012) Time use and physical activity: a shift away from movement across the globe. Obes Rev 13: 659-680. doi:10.1111/j.1467-789X.2011.00982.x. PubMed: .
    1. WHO (2009) Global health risks: mortality and burden of disease attributable to selected major risks. Geneva: World Health Organisation.
    1. Garber CE, Blissmer B, Deschenes MR, Franklin BA, Lamonte MJ et al. (2011) American College of Sports Medicine position stand. Quantity and quality of exercise for developing and maintaining cardiorespiratory, musculoskeletal, and neuromotor fitness in apparently healthy adults: guidance for prescribing exercise. Med Sci Sports Exerc 43: 1334-1359. doi:10.1249/MSS.0b013e318213fefb. PubMed: .
    1. Department of Health (2011) Physical Activity, Health Improvement and Protection Start active, stay active: a report on physical activity for health from the four home countries’ Chief Medical Officers. UK: Department of Health.

Source: PubMed

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