Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2009 Aug;58(8):1776-9.
doi: 10.2337/db08-1773. Epub 2009 May 26.

Objectively measured sedentary time may predict insulin resistance independent of moderate- and vigorous-intensity physical activity

Affiliations

Objectively measured sedentary time may predict insulin resistance independent of moderate- and vigorous-intensity physical activity

Hendrik J F Helmerhorst et al. Diabetes. 2009 Aug.

Abstract

Objective: To examine the prospective association between objectively measured time spent sedentary and insulin resistance and whether this association is independent of moderate- and vigorous-intensity physical activity (MVPA) and other relevant confounders.

Research design and methods: This was a population-based study (Medical Research Council Ely study) in 376 middle-aged adults (166 men; 210 women) over 5.6 years of follow-up. Physical activity and sedentary time were measured objectively by individually calibrated minute-by-minute heart rate monitoring at both baseline and follow-up. Sedentary time was calculated as the heart rate observations (in minutes) below an individually predetermined threshold (flex heart rate) and expressed as a percentage of total monitored time during waking hours over 4 days. The percentage of time spent above 1.75 x resting heart rate represented MVPA. Fasting plasma insulin was used as a surrogate measure of insulin resistance.

Results: Time spent sedentary at baseline was significantly and positively associated with log fasting insulin at follow-up (beta = 0.003, 95% CI 0.0006-0.006, P = 0.015) independent of baseline age, sex, fat mass, fasting insulin, smoking status, and follow-up time. After further adjustment for MVPA, this association was somewhat strengthened (beta = 0.004, 95% CI 0.0009-0.006, P = 0.009).

Conclusions: Time spent sedentary predicts higher levels of fasting insulin independent of the amount of time spent at moderate- and vigorous-intensity activity levels. This highlights the importance of reducing sedentary time in order to improve metabolic health, possibly in addition to the benefits associated with a physically active lifestyle.

PubMed Disclaimer

Figures

FIG. 1.
FIG. 1.
Geometric means ± SE of fasting insulin (follow-up) stratified by quartiles of time spent sedentary (baseline) in healthy middle-aged individuals (n = 376). Data are adjusted for baseline age, sex, fat mass, fasting insulin, smoking status, follow-up time, and time spent at MVPA.

Similar articles

Cited by

References

    1. Balkau B, Charles MA, Drivsholm T, Borch-Johnsen K, Wareham N, Yudkin JS, Morris R, Zavaroni I, van Dam R, Feskins E, Gabriel R, Diet M, Nilsson P, Hedblad B: Frequency of the WHO metabolic syndrome in European cohorts, and an alternative definition of an insulin resistance syndrome. Diabetes Metab 2002; 28: 364– 376 - PubMed
    1. Hu G, Qiao Q, Tuomilehto J, Eliasson M, Feskens EJ, Pyorala K: Plasma insulin and cardiovascular mortality in non-diabetic European men and women: a meta-analysis of data from eleven prospective studies. Diabetologia 2004; 47: 1245– 1256 - PubMed
    1. Li C, Ford ES, McGuire LC, Mokdad AH, Little RR, Reaven GM: Trends in hyperinsulinemia among nondiabetic adults in the U.S. Diabetes Care 2006; 29: 2396– 2402 - PubMed
    1. Flood A, Mai V, Pfeiffer R, Kahle L, Remaley AT, Lanza E, Schatzkin A: Elevated serum concentrations of insulin and glucose increase risk of recurrent colorectal adenomas. Gastroenterology 2007; 133: 1423– 1429 - PubMed
    1. Zeggini E, Scott LJ, Saxena R, Voight BF, Marchini JL, Hu T, de Bakker PI, Abecasis GR, Almgren P, Andersen G, Ardlie K, Bostrom KB, Bergman RN, Bonnycastle LL, Borch-Johnsen K, Burtt NP, Chen H, Chines PS, Daly MJ, Deodhar P, Ding CJ, Doney AS, Duren WL, Elliott KS, Erdos MR, Frayling TM, Freathy RM, Gianniny L, Grallert H, Grarup N, Groves CJ, Guiducci C, Hansen T, Herder C, Hitman GA, Hughes TE, Isomaa B, Jackson AU, Jorgensen T, Kong A, Kubalanza K, Kuruvilla FG, Kuusisto J, Langenberg C, Lango H, Lauritzen T, Li Y, Lindgren CM, Lyssenko V, Marvelle AF, Meisinger C, Midthjell K, Mohlke KL, Morken MA, Morris AD, Narisu N, Nilsson P, Owen KR, Palmer CN, Payne F, Perry JR, Pettersen E, Platou C, Prokopenko I, Qi L, Qin L, Rayner NW, Rees M, Roix JJ, Sandbaek A, Shields B, Sjogren M, Steinthorsdottir V, Stringham HM, Swift AJ, Thorleifsson G, Thorsteinsdottir U, Timpson NJ, Tuomi T, Tuomilehto J, Walker M, Watanabe RM, Weedon MN, Willer CJ, Illig T, Hveem K, Hu FB, Laakso M, Stefansson K, Pedersen O, Wareham NJ, Barroso I, Hattersley AT, Collins FS, Groop L, McCarthy MI, Boehnke M, Altshuler D: Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes. Nat Genet 2008; 40: 638– 645 - PMC - PubMed

Publication types