Cited by 185Physical Activity and HealthCardiovascular and exercise physiologyDiabetes, Cardiovascular Risks, and Lipoproteins

Sedentary behavior as a mediator of type 2 diabetes

Open access
Hamilton, Marc T., Hamilton, Deborah G., Zderic, Theodore W.·2014·Medicine and Sport Science

Abstract

Over the past 5 years, the fastest growing new area of physical activity research centered around the concept that the large amount of time people spend sitting inactive may have significant physiological consequences hazardous to human health, including risk for type 2 diabetes and poor metabolism of lipids and glucose. Meta-analysis (10 studies) suggests there is a 112% greater relative risk associated with a large duration of sedentary behavior for type 2 diabetes. Meta-analysis also indicates significantly greater odds for metabolic syndrome. We also summarize results for 7 studies using objective measures of total sedentary time and focusing on cardiometabolic risks in persons at high risk for type 2 diabetes or already diagnosed with type 2 diabetes. The underlying hypothesis introduced in 2004 by the inactivity physiology paradigm has been that frequent and abundant contractile activity by certain types of skeletal muscle can have a potent influence on key physiological processes, even when the intensity is below that achieved through exercise. We explain some of the mechanisms for why the metabolism in slow-twitch oxidative skeletal muscle is key for understanding the healthy responses to low-intensity physical activity (LIPA). Findings from objective measures from inclinometry indicated that the quartile range for weekly sedentary time is ∼29 h/week. The total daily time that people sit, stand, and accumulate nonexercise steps is independent of traditionally recommended moderate-vigorous physical activity. The large amount of sedentary time associated with risk for disease can only be reduced significantly with safe and nonfatiguing LIPA, especially in the most at-risk proportion of the population. Importantly, experimental studies are starting to indicate that it will be especially insightful to understand the acute dose-response effects of LIPA in order to understand why reducing sedentary time can improve lipid and glucose metabolism for the prevention and treatment of chronic disorders related to type 2 diabetes.

AI snapshot

Written from the paper’s full text.

TL;DR

This review argues that prolonged sedentary behavior is a distinct risk factor for type 2 diabetes and metabolic syndrome, independent of moderate-vigorous physical activity. It synthesizes epidemiological and acute physiological evidence to propose that replacing sitting with frequent, non-fatiguing low-intensity physical activity may improve glucose and lipid metabolism.

Key findings

  • In a meta-analysis of 10 studies (6 prospective; 505,045 participants), large vs. small TV time was associated with a 112% greater pooled relative risk of type 2 diabetes, independent of self-reported physical activity.
  • In a meta-analysis of 10 cross-sectional studies (21,393 participants), the most sedentary categories had 73% greater odds of metabolic syndrome, even after some studies adjusted for BMI and MVPA.
  • Objective inclinometry indicated a ~29 hr/week difference between the most and least sedentary quartiles; people sat 50% to 75% of the waking day, and sedentary time was independent of recommended MVPA.
  • Acute experimental evidence: one day of sitting reduced insulin-stimulated glucose uptake by 39% vs. LIPA; another study found ~20% differences in postprandial glucose and insulin between sedentary and active conditions, with similar responses across two walking intensities.

Methods

  • Narrative review of inactivity physiology, contrasting sedentary behavior with exercise physiology and summarizing epidemiological, objective-monitoring, acute experimental, and animal/molecular studies.
  • Data summarized include meta-analyses (10 studies, 505,045 participants; 10 cross-sectional studies, 21,393 participants), 7 studies using objective measures in people at high risk for or diagnosed with type 2 diabetes, and acute trials of sitting vs. low-intensity activity.
  • Main analysis is qualitative synthesis of reported relative risks, odds ratios, and physiological mechanisms; no new primary data or meta-analysis is presented.

Limitations

  • Stated: bedrest studies require cautious interpretation; datasets not designed for sedentary behavior may have unanticipated confounding; most objective studies do not report timing of sedentary assessment relative to blood sampling; accelerometry has error in the low-intensity range; no reports relate breaks in sedentary time to type 2 diabetes.
  • Stated: evidence more strongly supports total sedentary time than pattern/breaks for disease risk; after adjustment for waist or BMI, some break associations were no longer significant.
  • Evident: as a narrative review, it does not describe a systematic search strategy or formal quality appraisal, and many included epidemiological studies rely on self-reported TV/sedentary time, limiting causal inference.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1159/000357332

Cites

71 of 71 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Claims the paper makes

0 of 87 cited sources checked · 0 supported · 0 flagged

  • Findingcitation

    Recent studies using inclinometers to quantify all of the non-sitting and total sedentary time indicate that most people sit more than half of every day, or between 50% (1st quartile) to 75% (4th quartile) of the waking day.

    “recent studies using inclinometers to quantify all of the non-sitting and total sedentary time (12) indicate that most people sit more than half of every day, or between 50% (1st quartile) to 75% (4th quartile) of the waking day (Fig 4A).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [12] Craft LL Zderic TW Gapstur SM Vaniterson EH Thomas DM Siddique J Hamilton MT Evidence that women meeting physical activity guidelines do not sit less: an observational inclinometry study Int J Behav Nutr Phys Act 2012 10 4 9 122 23034100 PMC3490758

      Not checked in the free run.

  • Findingcitation

    Global gene profiling indicates diversity and potency of responses potentially important for prevention of type 2 diabetes and related metabolic risks, including genes previously shown to modulate glucose metabolism and processes such as inflammation and thrombosis.

    “Global gene profiling indicates diversity and potency of the responses potentially important for prevention of type 2 diabetes and related metabolic risks, including genes previously shown to modulate glucose metabolism (e.g., GLUT1, OGTase P110, SNAP-23, and Rad) and frequently associated processes such as inflammation and thrombosis (e.g. LPP1).”
    Quote in the paperNot a substantial claim
  • Findingown data

    There was a large cluster of genes with significant increase in expression during prolonged inactivity for 12 hours that did not reverse back to normal within several hours after regaining contractile activity.

    “there was a large cluster of genes that had a significant increase in expression during a period of prolonged inactivity for 12 hours, yet unexpectedly did not reverse back to normal within several hours after regaining contractile activity (Fig 1B).”
    Quote in the paperSubstantial claim
  • Findingown data

    Even in individuals who exercised at twice the 150 min/week level in the recommendations, sitting time and the total daily non-exercise activity was not different from those who almost never exercised.

    “Figure 4B also illustrates that even in the individuals who exercised at twice the 150 min/week level in the recommendations, sitting time and the total daily non-exercise activity was not different from those who almost never exercised.”
    Quote in the paperSubstantial claim
  • Findingown data

    There was a difference of ~29 hrs/week between the most and least sedentary quartiles.

    “Quantitatively, we found there was a difference of ~29 hrs/week between the most and least sedentary quartiles (Figure 4A).”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim. 6
  • May combine two claims. 19
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premiseown data

    The quartile range for weekly sedentary time is approximately 29 hours per week.

    “Findings from objective measures from inclinometry indicated that the quartile range for weekly sedentary time is ~29 hours/week.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Premisecitation

    Saunders et al. concluded that overall there were moderate to large unfavorable effects of high amounts of sedentary time on plasma triglyceride, glucose tolerance, and insulin sensitivity.

    “They concluded that overall there were moderate to large unfavorable effects of high amounts of sedentary time on plasma triglyceride, glucose tolerance, and insulin sensitivity.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [8] Saunders TJ Larouche R Colley RC Tremblay MS Acute sedentary behaviour and markers of cardiometabolic risk: a systematic review of intervention studies J Nutr Metab 2012 2012 712435 22754695 PMC3382951

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    Sedentary time is associated with an increased risk of cardiovascular disease and all-cause mortality, with the strength of association most consistent for type 2 diabetes.

    “Authors also concluded from meta-analysis that sedentary time is associated with an increased risk of cardiovascular disease and all-cause mortality, while the strength of the association is most consistent for type 2 diabetes (10).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [10] Wilmot EG Edwardson CL Achana FA Davies MJ Gorely T Gray LJ Khunti K Yates T Biddle SJ Sedentary time in adults and the association with diabetes, cardiovascular disease and death: systematic review and meta-analysis Diabetologia 2012 55 11 2895 905 22890825

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    There is an inverse relationship between breaks in sedentary time and waist circumference and BMI.

    “there is an inverse relationship between breaks in sedentary time with waist circumference (36,38,45,46) and BMI (45).”
    Quote in the paperNot a substantial claim0 of 4 sources checked
    • cites [36] Cooper AR Sebire S Montgomery AA Peters TJ Sharp DJ Jackson N Fitzsimons K Dayan CM Andrews RC Sedentary time, breaks in sedentary time and metabolic variables in people with newly diagnosed type 2 diabetes Diabetologia 2012 55 3 589 99 22167127

      Not checked in the free run.

    • cites [38] Henson J Yates T Biddle SJ Edwardson CL Khunti K Wilmot EG Gray LJ Gorely T Nimmo MA Davies MJ Associations of objectively measured sedentary behaviour and physical activity with markers of cardiometabolic health Diabetologia 2013 56 5 1012 20 23456209

      Not checked in the free run.

    • cites [45] Healy GN Dunstan DW Salmon J Cerin E Shaw JE Zimmet PZ Owen N Breaks in sedentary time: beneficial associations with metabolic risk Diabetes Care 2008 31 4 661 6 18252901

      Not checked in the free run.

    • cites [46] Healy GN Matthews CE Dunstan DW Winkler EA Owen N Sedentary time and cardio-metabolic biomarkers in US adults: NHANES 2003–06 Eur Heart J 2011 32 5 590 7 21224291 PMC3634159

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    In adults, total sedentary time was significantly related to metabolic syndrome, insulin, HOMA-IR, 2-hour glucose, TG concentration, HDL, CRP, and IL-6.

    “total sedentary time was significantly related to metabolic syndrome (30), insulin (36,46), HOMA-IR (36,46), 2 hr glucose (38,47), TG concentration (38,45,46), HDL (36,38,46), CRP (46), and IL-6 (41).”
    Quote in the paperSubstantial claim0 of 5 sources checked
    • cites [30] Bankoski A Harris TB McClain JJ Brychta RJ Caserotti P Chen KY Berrigan D Troiano RP Koster A Sedentary activity associated with metabolic syndrome independent of physical activity Diabetes Care 2011 34 2 497 503 21270206 PMC3024375

      Not checked in the free run.

    • cites [36] Cooper AR Sebire S Montgomery AA Peters TJ Sharp DJ Jackson N Fitzsimons K Dayan CM Andrews RC Sedentary time, breaks in sedentary time and metabolic variables in people with newly diagnosed type 2 diabetes Diabetologia 2012 55 3 589 99 22167127

      Not checked in the free run.

    • cites [46] Healy GN Matthews CE Dunstan DW Winkler EA Owen N Sedentary time and cardio-metabolic biomarkers in US adults: NHANES 2003–06 Eur Heart J 2011 32 5 590 7 21224291 PMC3634159

      Not checked in the free run.

    • cites [38] Henson J Yates T Biddle SJ Edwardson CL Khunti K Wilmot EG Gray LJ Gorely T Nimmo MA Davies MJ Associations of objectively measured sedentary behaviour and physical activity with markers of cardiometabolic health Diabetologia 2013 56 5 1012 20 23456209

      Not checked in the free run.

    • cites [47] Healy GN Dunstan DW Salmon J Cerin E Shaw JE Zimmet PZ Owen N Objectively measured light-intensity physical activity is independently associated with 2-hr plasma glucose Diabetes Care 2007 30 6 1384 9 17473059

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    In a cross-sectional analysis using a heart rate method, sedentary time was unfavorably related to plasma TG and HDL concentrations, waist circumference, and a clustered metabolic risk score.

    “A similar cross-sectional analysis using a heart rate method (35) reported that sedentary time was unfavorably related to plasma TG and HDL concentrations, waist circumference, and a clustered metabolic risk score (HbA1C, TG, inverse of HDL, waist).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [35] Matthews CE George SM Moore SC Bowles HR Blair A Park Y Troiano RP Hollenbeck A Schatzkin A Amount of time spent in sedentary behaviors and cause-specific mortality in US adults Am J Clin Nutr 2012 95 2 437 45 22218159 PMC3260070

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    There was about a 4-hour difference between the groups with the most and least sedentary time and a ~40% range in insulin-stimulated glucose uptake.

    “There was about 4 hr difference between the groups with the most and the least sedentary time and ~40% range in insulin-stimulated glucose uptake (43).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [43] Balkau B Mhamdi L Oppert JM Nolan J Golay A Porcellati F Laakso M Ferrannini E EGIR-RISC Study Group Physical activity and insulin sensitivity: the RISC study Diabetes 2008 57 10 2613 8 18591396 PMC2551669

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Insulin resistance is thought to be an underlying culprit in metabolic syndrome.

    “Insulin resistance is thought to be an underlying culprit in much of this condition (20).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [20] Jornayvaz FR Samuel VT Shulman GI The role of muscle insulin resistance in the pathogenesis of atherogenic dyslipidemia and nonalcoholic fatty liver disease associated with the metabolic syndrome Annu Rev Nutr 2010 30 273 90 20645852 PMC3730129

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    In these studies, breaks were related to 2-hour glucose, TG, CRP, and metabolic syndrome.

    “breaks were related to 2 hr glucose (45), TG (45), CRP (46), and metabolic syndrome (30).”
    Quote in the paperNot a substantial claim0 of 3 sources checked
    • cites [45] Healy GN Dunstan DW Salmon J Cerin E Shaw JE Zimmet PZ Owen N Breaks in sedentary time: beneficial associations with metabolic risk Diabetes Care 2008 31 4 661 6 18252901

      Not checked in the free run.

    • cites [46] Healy GN Matthews CE Dunstan DW Winkler EA Owen N Sedentary time and cardio-metabolic biomarkers in US adults: NHANES 2003–06 Eur Heart J 2011 32 5 590 7 21224291 PMC3634159

      Not checked in the free run.

    • cites [30] Bankoski A Harris TB McClain JJ Brychta RJ Caserotti P Chen KY Berrigan D Troiano RP Koster A Sedentary activity associated with metabolic syndrome independent of physical activity Diabetes Care 2011 34 2 497 503 21270206 PMC3024375

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    Sedentary time was directly associated with an insulin secretion index derived from an OGTT even after adjustment for clamp-determined insulin sensitivity, and with higher TG and lower HDL-C independent of sustained MVPA but related to total daily activity.

    “Sedentary time in this cohort was also directly associated with an insulin secretion index derived from an OGTT even after adjustment for clamp determined insulin sensitivity, and also with higher TG, and lower HDL-C independent of sustained MVPA but instead related to total daily activity (44).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [44] Lahjibi E Heude B Dekker JM Højlund K Laville M Nolan J Oppert JM Balkau B RISC Study Group Impact of objectively measured sedentary behaviour on changes in insulin resistance and secretion over 3 years in the RISC study: interaction with weight gain Diabetes Metab 2013 39 3 217 25 23541222

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    The relationships between sedentary behavior and disease rates remained significant in some studies additionally modeling for BMI but not in all situations.

    “these relationships with disease rates remained significant in some of the studies additionally modeling for BMI (14–16) but not in all situations (17,18).”
    Quote in the paperSubstantial claim0 of 5 sources checked
    • cites [14] Hu FB Leitzmann MF Stampfer MJ Colditz GA Willett WC Rimm EB Physical activity and television watching in relation to risk for type 2 diabetes mellitus in men Arch Intern Med 2001 161 12 1542 8 11427103

      Not checked in the free run.

    • cites [15] Krishnan S Rosenberg L Palmer JR Physical activity and television watching in relation to risk of type 2 diabetes: the Black Women’s Health Study Am J Epidemiol 2009 169 4 428 34 19056835 PMC2726641

      Not checked in the free run.

    • cites [16] Tonstad S Butler T Yan R Fraser GE Type of vegetarian diet, body weight, and prevalence of type 2 diabetes Diabetes Care 2009 32 5 791 6 19351712 PMC2671114

      Not checked in the free run.

    • cites [17] Ford ES Schulze MB Kröger J Pischon T Bergmann MM Boeing H Television watching and incident diabetes: Findings from the European Prospective Investigation into Cancer and Nutrition-Potsdam Study J Diabetes 2010 2 1 23 7 20923471

      Not checked in the free run.

    • cites [18] Dunstan DW Salmon J Owen N Armstrong T Zimmet PZ Welborn TA Cameron AJ Dwyer T Jolley D Shaw JE AusDiab Steering Committee Physical activity and television viewing in relation to risk of undiagnosed abnormal glucose metabolism in adults Diabetes Care 2004 27 11 2603 9 15504993

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    The risk of too much sedentary time was independent of both the amount of accumulative MVPA and body composition indices such as BMI and waist.

    “the risk of too much sedentary time was independent of both the amount of accumulative MVPA and body composition indices (BMI, waist).”
    Quote in the paperSubstantial claim0 of 6 sources checked
    • cites [36] Cooper AR Sebire S Montgomery AA Peters TJ Sharp DJ Jackson N Fitzsimons K Dayan CM Andrews RC Sedentary time, breaks in sedentary time and metabolic variables in people with newly diagnosed type 2 diabetes Diabetologia 2012 55 3 589 99 22167127

      Not checked in the free run.

    • cites [37] Cooper AJ Brage S Ekelund U Wareham NJ Griffin SJ Simmons RK Association between objectively assessed sedentary time and physical activity with metabolic risk factors among people with recently diagnosed type 2 diabetes Diabetologia 2014 57 1 73 82 24196189 PMC3857880

      Not checked in the free run.

    • cites [38] Henson J Yates T Biddle SJ Edwardson CL Khunti K Wilmot EG Gray LJ Gorely T Nimmo MA Davies MJ Associations of objectively measured sedentary behaviour and physical activity with markers of cardiometabolic health Diabetologia 2013 56 5 1012 20 23456209

      Not checked in the free run.

    • cites [39] Wijndaele K Orrow G Ekelund U Sharp SJ Brage S Griffin SJ Simmons RK Increasing objectively measured sedentary time increases clustered cardiometabolic risk: a 6 year analysis of the ProActive study Diabetologia 2014 57 2 305 12 24194101 PMC3889989

      Not checked in the free run.

    • cites [40] Ekelund U Griffin SJ Wareham NJ Physical activity and metabolic risk in individuals with a family history of type 2 diabetes Diabetes Care 2007 30 2 337 42 17259504

      Not checked in the free run.

    • cites [41] Henson J Yates T Edwardson CL Khunti K Talbot D Gray LJ Leigh TM Carter P Davies MJ Sedentary time and markers of chronic low-grade inflammation in a high risk population PLoS One 2013 8 10 e78350 24205208 PMC3812126

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    In a cross-sectional and prospective study of 528 people, sedentary time estimated from hip-mounted accelerometry was unfavorably related to fasting insulin, HOMA-IR, and HDL-C at baseline and after 6 months follow-up.

    “In a cross-sectional and prospective study of 528 people, sedentary time, as estimated from hip mounted accelerometry, was unfavorably related to fasting insulin, HOMA-IR, and HDL-C, both at baseline and after 6 months follow up (36).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [36] Cooper AR Sebire S Montgomery AA Peters TJ Sharp DJ Jackson N Fitzsimons K Dayan CM Andrews RC Sedentary time, breaks in sedentary time and metabolic variables in people with newly diagnosed type 2 diabetes Diabetologia 2012 55 3 589 99 22167127

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.

    Interpretationreasoning

    The prescription for exercise is too brief and too intense to be used as replacement for the vast amount of sedentary time currently linked with disease.

    “The prescription for exercise is not only too brief but also too intense to be used as replacement for the vast amount of sedentary time currently linked with disease.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisenone given

    Skeletal muscle is a highly heterogeneous tissue and both the threshold for recruitment and the metabolic responses to contractile activity are very much dependent upon fiber type.

    “Skeletal muscle is a highly heterogeneous tissue and both the threshold for recruitment and the metabolic responses to contractile activity are very much dependent upon fiber type.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Premisecitation

    Inactivity stimulated the rise in expression of just as many genes as it repressed gene expression, invoking molecular processes turned on in response to sedentary behavior.

    “Notice that inactivity actually stimulated the rise in the expression of just as many genes as it did repress gene expression, invoking molecular processes turned on in response to sedentary behavior.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [58] Bey L Akunuri N Zhao P Hoffman EP Hamilton DG Hamilton MT Patterns of global gene expression in rat skeletal muscle during unloading and low-intensity ambulatory activity Physiol Genomics 2003 13 2 157 67 12582208

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    The energy demands of working fibers typically increase 50-100-fold greater in the working muscle mass, while other parts of the musculature can remain at resting levels.

    “Because of this, the energy demands of working fibers typically increase 50–100-fold greater in the working muscle mass, while other parts of the musculature can remain at resting levels (7).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [7] Hamilton MT Owen N Sedentary Behavior and Inactivity Physiology Physical Activity and Health 2 Bouchard C Blair SN Haskell WL Human Kinetics 2011 53 68

      Not checked in the free run.

  • May combine two claims.

    Interpretationnone given

    Both experimental and epidemiological studies have recently been providing evidence that there may be unhealthy effects of large amounts of sedentary time, and inversely of small amounts of total non-exercise physical activity time.

    “Both experimental and epidemiological studies have recently been providing evidence that there may be unhealthy effects of large amounts of sedentary time (and inversely, small amounts of total non-exercise physical activity time, Fig 4A).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Premisecitation

    In overweight/obese middle-aged adults, there were ~20% differences for both glucose and insulin responses in the sedentary vs. active condition, but the two active trials were similar.

    “Most importantly, there were ~20% differences for both the glucose and insulin responses in the sedentary vs. active condition, but the 2 active trials were similar.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [53] Stephens BR Granados K Zderic TW Hamilton MT Braun B Effects of 1 day of inactivity on insulin action in healthy men and women: interaction with energy intake Metabolism 2011 60 7 941 9 21067784

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S4 (based).

    Interpretationreasoning

    The large amount of sedentary time associated with risk for disease can only be reduced significantly with safe and non-fatiguing LIPA, especially in the most at-risk proportion of the population.

    “The large amount of sedentary time associated with risk for disease can only be reduced significantly with safe and non-fatiguing LIPA, especially in the most at risk proportion of the population.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: Safe and non-fatiguing low-intensity physical activity can significantly reduce the large amount of sedentary time associated with disease risk in the most at-risk population.
  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation

    In that intervention, the conclusion was that duration was more important than intensity because the caloric expenditure of exercise versus non-exercise activity was matched.

    “In that intervention, the conclusion was the duration was more important than intensity because the caloric expenditure of exercise versus non-exercise activity was matched (54).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [54] Duvivier BM Schaper NC Bremers MA van Crombrugge G Menheere PP Kars M Savelberg HH Minimal intensity physical activity (standing and walking) of longer duration improves insulin action and plasma lipids more than shorter periods of moderate to vigorous exercise (cycling) in sedentary subjects when energy expenditure is comparable PLoS One 2013 8 2 e55542 23418444 PMC3572053

      Not checked in the free run.

  • May combine two claims.

    Premisereasoning

    Slow oxidative muscle can be heavily engaged during low intensity efforts, while at the same time the fast glycolytic type of muscle may remain inactive.

    “A fundamental point is that slow oxidative muscle can be heavily engaged during low intensity efforts, while at the same time the fast glycolytic type of muscle may remain inactive.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Premisecitation

    During periods of acute contractile inactivity and during reduced spontaneous ambulatory activity associated with aging, LPL activity decreases significantly, but primarily in the slow oxidative muscles where its actions are normally most important.

    “During periods of acute contractile inactivity (59,60,64) and during reduced spontaneous ambulatory activity associated with aging (65,66), LPL activity decreases significantly, but primarily in the slow oxidative muscles where its actions are normally most important (Fig 3).”
    Quote in the paperSubstantial claim0 of 5 sources checked
    • cites [59] Bey L Hamilton MT Suppression of skeletal muscle lipoprotein lipase activity during physical inactivity: a molecular reason to maintain daily low-intensity activity J Physiol 2003 551 Pt 2 673 82 12815182 PMC2343229

      Not checked in the free run.

    • cites [60] Zderic TW Hamilton MT Physical inactivity amplifies the sensitivity of skeletal muscle to the lipid-induced downregulation of lipoprotein lipase activity J Appl Physiol 2006 100 1 249 57 16195388

      Not checked in the free run.

    • cites [64] Hamilton MT Etienne J McClure WC Pavey BS Holloway AK Role of local contractile activity and muscle fiber type on LPL regulation during exercise Am J Physiol 1998 275 38 E1016 E1022 9843744

      Not checked in the free run.

    • cites [65] Bey L Areiqat E Sano A Hamilton MT Reduced lipoprotein lipase activity in postural skeletal muscle during aging J Appl Physiol 2001 91 687 692 11457782

      Not checked in the free run.

    • cites [66] Hamilton MT Areiqat E Hamilton DG Bey L Plasma triglyceride metabolism in humans and rats during aging and physical inactivity International Journal of Sports Nutrition and Exercise Metabolism 2001 11 95 102 11915936

      Not checked in the free run.

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  • The paper relies on this without support.

    Skeletal muscle insulin resistance is a key element in the development and progression of type 2 diabetes.

    “Skeletal muscle insulin resistance is a key element in the development and progression of type 2 diabetes.”
  • The paper relies on this without support.

    Acute contractile activity induces local signals stimulating glucose uptake independent of insulin signaling.

    “First, independent of insulin signaling, acute contractile activity induces local signals stimulating glucose uptake.”
  • The paper relies on this without support.

    Disease risks are associated with many hours per day of sitting idle, averaging approximately 10 hours per day or 70 hours each week.

    “Disease risks are associated with many hours per day of sitting idle, averaging ~10 hrs/day or 70 hrs each week.”
  • The paper relies on this without support.

    Safe and non-fatiguing low-intensity physical activity can significantly reduce the large amount of sedentary time associated with disease risk in the most at-risk population.

    “The large amount of sedentary time associated with risk for disease can only be reduced significantly with safe and non-fatiguing LIPA, especially in the most at risk proportion of the population.”
  • The paper relies on this without support.

    Muscle cells are constantly sensing and responding to their environment, so contractile activity and inactivity over the whole day counts.

    “A remarkably fundamental concept that is useful for guiding inactivity physiology is simply that muscle cells are constantly sensing and responding to their environment, thus contractile activity and inactivity over the whole day counts.”
  • The paper relies on this without support.

    Sitting at work and in leisure is ubiquitous in modern society.

    “In conclusion, sitting at work and in leisure is ubiquitous in modern society.”
  • The paper relies on this without support.

    LPL deficiencies are linked to lipoprotein parameters, inflammatory processes, and blood pressure.

    “LPL deficiencies also have been linked to lipoprotein parameters, inflammatory processes, and blood pressure.”
7 of 7

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.

Each contradiction between two passages listed here was confirmed by an independent check.

  • Newly diagnosed diabetes study is cited as a mortality study

    Minor

    The cited reference 35 is titled as a study of sedentary behavior and mortality in US adults, not a study of cardiometabolic measurements in people newly diagnosed with type 2 diabetes. Reference 37 is titled as a study of the latter population and outcomes.

  • Two distinct acute studies are both identified as reference 53

    Minor

    The text identifies Stephens et al. (53) as one acute study, then calls a study in overweight or obese middle-aged adults the second acute study while also citing (53). These cannot be two distinct studies under the same reference number.

2 of 2

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Authors
Hamilton, M. T., Hamilton, D. G., & Zderic, T. W.
Affiliations
Pennington Biomedical Research Center (US)
Venue
Medicine and Sport Science
Publisher
S. Karger AG
Published
2014
Volume
60
Pages
11-26
ISSN
  • 0076-6070 (ISSN-L)
  • 0254-5020
  • 1662-2812
OpenAlex
W1538864188
Cited by
185
References
72
Citations by year
2026: 11 · 2025: 19 · 2024: 18 · 2023: 19 · 2022: 30 · 2021: 18 · 2020: 11 · 2019: 12 · 2018: 11 · 2017: 19 · 2016: 6 · 2015: 10 · 2014: 1
FWCI
31.05
Type
book chapter
Language
en
Open access
Locations
  • Medicine and sport science/Medicine and sport (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • U.S. Public Health Service (00119611)
  • National Heart, Lung, and Blood Institute (HL-70482, HL-52490, R01HL057367, HL-57367, P01HL052490, F32HL070482)
  • National Institute of Arthritis and Musculoskeletal and Skin Diseases (F32AR008455)
Topics
  • Health Sciences › Medicine › Physiology › Physical Activity and Health
  • Health Sciences › Medicine › Complementary and alternative medicine › Cardiovascular and exercise physiology
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
Keywords
sedentary behavior, type 2 diabetes, light physical activity, metabolic syndrome, cardiometabolic risk, slow-twitch muscle, glucose metabolism, lipid metabolism, inclinometry, sedentary time, dose-response relationship
MeSH terms
Animals, Diabetes Mellitus, Type 2, Glucose, Humans, Motor Activity, Risk Factors, Time Factors, Muscle, Skeletal, Metabolic Syndrome, Lipid Metabolism, Actigraphy, 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.

Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-09.

Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-09.

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 ›

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