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Licensed Unlicensed Requires Authentication Published by De Gruyter May 29, 2019

Associations of physical activity or sedentary behaviour with pain sensitivity in young adults of the Raine Study

  • Robert Waller ORCID logo EMAIL logo , Anne Smith , Helen Slater , Peter O’Sullivan , Darren Beales , Joanne McVeigh and Leon Straker

Abstract

Background and aims

There is high level evidence for physical activity (PA) improving outcomes in persistent pain disorders and one of the mechanisms proposed is the effect of exercise on central nociceptive modulation. Although laboratory studies and small field intervention studies suggest associations between physical activity and pain sensitivity, the association of objectively measured, habitual PA and sedentary behaviour (SB) with pain sensitivity requires further investigation. Current evidence suggests PA typically lowers pain sensitivity in people without pain or with single-site pain, whereas PA is frequently associated with an increase in pain sensitivity for those with multisite pain. The aim of this study was to explore the relationships of PA and SB with pain sensitivity measured by pressure pain thresholds and cold pain thresholds, considering the presence of single-site and multisite pain and controlling for potential confounders.

Methods

Participants from the Western Australian Pregnancy Cohort (Raine) Study (n = 714) provided data at age 22-years. PA and SB were measured via accelerometry over a 7-day period. Pain sensitivity was measured using pressure pain threshold (4 sites) and cold pain threshold (wrist). Participants were grouped by number of pain areas into “No pain areas” (n = 438), “Single-site pain” (n = 113) and “Multisite pain” (n = 163) groups. The association of PA and SB variables with pain sensitivity was tested separately within each pain group by multivariable regression, adjusting for potential confounders.

Results

For those with “Single-site pain”, higher levels (>13 min/day) of moderate-vigorous PA in ≥10 min bouts was associated with more pressure pain sensitivity (p = 0.035). Those with “Multisite pain” displayed increased cold pain sensitivity with greater amounts of vigorous PA (p = 0.011). Those with “No pain areas” displayed increased cold pain sensitivity with decreasing breaks from sedentary time (p = 0.046).

Conclusions

This study was a comprehensive investigation of a community-based sample of young adults with “No pain areas”, “Single-site pain” and “Multisite pain” and suggests some associations of measures of PA and SB with pain sensitivity.

Implications

The findings suggest that the pattern of accumulation of PA and SB may be important to inform improved clinical management of musculoskeletal pain disorders. This study provides a baseline for follow-up studies using the Raine Study cohort. Future research should consider temporal influences of PA and SB on pain sensitivity, pain experience and consider using a broader range of pain sensitivity measures.

Acknowledgements

The authors would like to acknowledge the Raine Study Participants and their families for their ongoing contribution to the study and the Raine Study staff for cohort coordination and data collection. The Raine Study has been supported by the National Health and Medical Research Council, with additional funding provided by the University of Western Australia, Raine Medical Research Foundation, Telethon Kids Institute, Curtin University, Edith Cowan University, Women and Infants Research Foundation, Murdoch University and The University of Notre Dame Australia.

  1. Authors’ statements

  2. Research funding: The Raine Study has been funded by National Health and Medical Research Council (NHMRC) project grants 1027449, 1044840 and 1021858. Funding was also generously provided by, SafeWork Australia, University of Western Australia, Raine Medical Research Foundation, Telethon Kids Institute, Curtin University, Edith Cowan University, Women and Infants Research Foundation, Murdoch University and The University of Notre Dame Australia.

  3. Conflicts of interest: There are no actual or potential conflicts of interest for any of the authors.

  4. Informed consent: Informed consent has been obtained from all individuals included in this study

  5. Ethical approval: The research related to human use complies with all the relevant national regulations, institutional policies and was performed in accordance with the tenets of the Helsinki Declaration, Ethics approval for the Raine Study Cohort 22-year follow up was obtained from the University of Western Australia (UWA) (RA/4/1/5202).

Appendix

Appendix 1:

Multivariable regression models for PPT (kPa) measures with at least 3 valid weekdays and 1 valid weekend day.

VariableNo pain areas (n=281)Single-site pain (n=69)Multisite pain (n=110)
Regression coefficient (95% CI)dp-ValueRegression coefficient (95% CI)dp-ValueRegression coefficient (95% CI)dp-Value
Moderate PA (min/day)a,b
 Linear term4.0 (−36.6, 28.7)0.721e37.6 (−16.6, 91.9)0.091e−12.2 (−49.2, 4.7)0.441e
 Quadratic term0.0 (−3.4, 3.4)−5.1 (−10.7, 0.5)2.1 (−2.2, 6.5)
Vigorous PA (min/day)a,b
 ZeroRef.0.582eRef.0.527eRef.0.544e
 <1.75 min/day−30.1 (−87.3, 27.1)0.302−55.3 (−43.1, 153.6)0.27138.1 (−30.0, 106.3)0.273
 ≥1.75 min/day−21.5 (−80.5, 37.6)0.541−19.6 (−83.2, 122.4)0.70920.7 (−53.7, 95.1)0.586
MVPA (min/day)a,b
 Linear term−10.2 (−42.9, 22.5)0.560e52.5 (−0.5, 105.5)0.038e−7.2 (−44.5, 30.2)0.170e
 Quadratic term0.6 (−2.7, 3.9)−6.5 (−12.0, −1.0)1.3 (−3.1, 5.7)
MVPA in ≥10 min bouts (min/day)a,b
 ZeroRef.0.630eRef.0.084eRef.0.897e
 ≤13 min/day−0.9 (−70.7, 69.1)0.98083.1 (−28.4, 194.7)0.144−12.8 (−60.8, 86.3)0.734
 >13 min/day−22.8 (−93.5, 47.9)0.527−9.7 (−118.3, 98.6)0.85819.3 (−62.6, 101.2)0.644
Sedentary time per day (min)a,b−0.6f (−3.4, 2.3)0.702−1.1f (−4.2, 6.3)0.694−0.5f (−4.2, 3.1)0.770
Sedentary time as percentage of non-MVPA timea,b−7.7g (−34.0, 18.6)0.568−2.2g (−43.9, 48.3)0.926−1.1g (−35.2, 33.1)0.951
Sedentary time ≥20 min (min/day)a,b−1.2f (−4.1, 1.8)0.432−0.2f (−5.0, 5.5)0.928−0.9f (−4.9, 3.2)0.677
Sedentary time ≥30 min (min/day)a,b−1.8f (−5.4, 1.7)0.3150.4f (−5.4, 6.1)0.892−1.4f (−6.5, 3.6)0.574
Proportion of sedentary time ≥20 min (percent)b−12.8h (−34.0, 8.4)0.2374.3h (−34.2, 42.7)0.828−9.9h (−39.4, 19.5)0.508
Number of breaks from sedentary time/daya,b,c2.4i (−14.3, 19.1)0.779−7.7i (−40.3, 25.0)0.645−1.8i (−25.1, 21.5)0.878
  1. aAdjusted for awake wear time; badjusted for number of days of valid wear time; cadjusted for sedentary time per day; dAdjusted for sex, site, waist-hip ratio, SF12-mental component summary; eOverall p-value; fDifference estimate represents the expected change for a 10 min change in sedentary or sitting time; gDifference estimate represents the expected change for a 10% change in sedentary time as % of non-MVPA time; hDifference estimate represents the expected change for a 10% change in proportion of sedentary time ≥20 min; iDifference estimate represents the expected change for 10 breaks in sedentary time; CI=confidence interval; PA=physical activity; MVPA=moderate vigorous physical activity.

Appendix 2:

Multivariable Tobit regression models for CPT (°C) measures (min 3 valid weekdays, 1 valid weekend day).

VariableNo pain areas (n=277)Single-site pain (n=68)Multisite pain (n=109)
Regression coefficient (95% CI)dp-ValueRegression coefficient (95% CI)dp-ValueRegression coefficient (95% CI)dp-Value
Moderate PA (min/day)a,b
 Linear term0.4 (−0.1, 1.0)0.112−0.3 (−1.3, 0.7)0.548−0.1 (−1.0, 0.7)0.800
Vigorous PA (min/day)a,b
 ZeroRef.0.405eRef.0.819eRef.f0.004e
 <1.75 min/day2.4 (−1.1, 5.8)0.180−0.7 (−7.0, 5.5)0.819−2.9 (−8.0, 2.2)0.267
 ≥1.75 min/day1.6 (−2.0, 5.1)0.394−2.0 (−8.5, 4.7)0.5346.5 (1.0, 11.9)0.020
MVPA (min/day)a,b
Linear term0.5 (−0.1, 1.0)0.085−0.4 (−1.3, 0.6)0.4510.0 (−0.8, 0.9)0.954
MVPA in ≥10 min bouts (min/day)a,b
 ZeroRef.0.364eRef.0.725eRef.0.438e
 ≤13 min/day1.5 (−2.9, 5.8)0.5001.7 (−5.7, 9.1)0.6510.1 (−5.5, 5.7)0.962
 >13 min/day2.9 (−1.5, 7.3)0.190−0.6 (−7.6, 6.5)0.8733.2 (−3.0, 9.3)0.306
Sedentary time per day (min)a,b0.0g (−0.1, 0.2)0.5060.1g (−0.3, 0.4)0.7640.0g (−0.3, 0.3)0.951
Sedentary time as percentage of non-MVPA timea,b0.9h (−0.7, 2.6)0.2610.8h (−2.9, 3.0)0.956−0.1h (−2.6, 2.5)0.991
Sedentary time ≥20 min (min/day)a,b0.1g (−0.1, 0.3)0.1760.0g (−0.2, 0.4)0.622−0.1g (−0.4, 0.2)0.591
Sedentary time ≥30 min (min/day)a,b0.2g (−0.1, 0.4)0.1430.1g (−0.3, 0.5)0.604−0.2g (−0.5, 0.2)0.427
Proportion of sedentary time ≥20 min (percent)b1.0i (−0.3, 2.3)0.1191.1i (−1.5, 3.6)0.402−0.8i (−3.0, 1.5)0.494
Number of breaks from sedentary time/daya,b,c−1.1j (−2.1, −0.1)0.032−0.3j (−2.4, 1.8)0.7980.8j (−0.9, 2.5)0.355
  1. aAdjusted for awake wear time; badjusted for number of days of valid wear time; cadjusted for sedentary time per day; dadjusted for sex, smoking, SF12-mental component summary; eOverall p-value; fContrast of group 2 vs. 1: 9.3 (3.8, 14.9), p=0.001: gDifference estimate represents the expected change for a 10 min change in sedentary or sitting time; hDifference estimate represents the expected change for a 10% change in sedentary time as % of non-MVPA time; iDifference estimate represents the expected change for a 10% change in proportion of sedentary time ≥20 min; jDifference estimate represents the expected change for an additional 10 breaks in sedentary time; CI=confidence interval; PA=physical activity; MVPA=moderate vigorous physical activity.

References

[1] Uthman OA, van der Windt DA, Jordan JL, Dziedzic KS, Healey EL, Peat GM, Foster NE. Exercise for lower limb osteoarthritis: systematic review incorporating trial sequential analysis and network meta-analysis. BMJ 2013;347:f5555.10.1136/bmj.f5555Search in Google Scholar PubMed PubMed Central

[2] Lin C-WC, McAuley JH, Macedo L, Barnett DC, Smeets RJ, Verbunt JA. Relationship between physical activity and disability in low back pain: a systematic review and meta-analysis. Pain 2011;152:607–13.10.1016/j.pain.2010.11.034Search in Google Scholar PubMed

[3] Hauser W, Klose P, Langhorst J, Moradi B, Steinbach M, Schiltenwolf M, Busch A. Efficacy of different types of aerobic exercise in fibromyalgia syndrome: a systematic review and meta-analysis of randomised controlled trials. Arthritis Res Ther 2010;12:R79.10.1186/ar3002Search in Google Scholar PubMed PubMed Central

[4] Landmark T, Romundstad PR, Borchgrevink PC, Kaasa S, Dale O. Longitudinal associations between exercise and pain in the general population – the HUNT pain study. PLoS One 2013;8:e65279.10.1371/journal.pone.0065279Search in Google Scholar PubMed PubMed Central

[5] Alzahrani H, Shirley D, Cheng SWM, Mackey M, Stamatakis E. Physical activity and chronic back conditions: a population-based pooled study of 60,134 adults. J Sport Health Sci 2019 (in press).10.1016/j.jshs.2019.01.003Search in Google Scholar PubMed PubMed Central

[6] McVeigh JA, Winkler EAH, Howie EK, Tremblay MS, Smith A, Abbott RA, Eastwood PR, Healy GN, Straker LM. Objectively measured patterns of sedentary time and physical activity in young adults of the Raine study cohort. Int J Behav Nutr Phys Act 2016;13:41.10.1186/s12966-016-0363-0Search in Google Scholar PubMed PubMed Central

[7] Costigan SA, Barnett L, Plotnikoff RC, Lubans DR. The health indicators associated with screen-based sedentary behavior among adolescent girls: a systematic review. J Adolesc Health 2013;52:382–92.10.1016/j.jadohealth.2012.07.018Search in Google Scholar PubMed

[8] Wærsted M, Hanvold TN, Veiersted KB. Computer work and musculoskeletal disorders of the neck and upper extremity: a systematic review. BMC Musculoskelet Disord 2010;11:79.10.1186/1471-2474-11-79Search in Google Scholar PubMed PubMed Central

[9] Sluka KA, Frey-Law L, Hoeger Bement M. Exercise-induced pain and analgesia? Underlying mechanisms and clinical translation. Pain 2018;159(Suppl. 1):S91–7.10.1097/j.pain.0000000000001235Search in Google Scholar PubMed PubMed Central

[10] King S, Chambers CT, Huguet A, MacNevin RC, McGrath PJ, Parker L, MacDonald AJ. The epidemiology of chronic pain in children and adolescents revisited: a systematic review. Pain 2011;152:2729–38.10.1016/j.pain.2011.07.016Search in Google Scholar PubMed

[11] Coenen P, Smith A, Paananen M, O’Sullivan P, Beales D, Straker L. Trajectories of low back pain from adolescence to young adulthood. Arthritis Care Res 2017;69:403–12.10.1002/acr.22949Search in Google Scholar PubMed

[12] Swain MS, Henschke N, Kamper SJ, Gobina I, Ottová-Jordan V, Maher CG. An international survey of pain in adolescents. BMC Public Health 2014;14:447.10.1186/1471-2458-14-447Search in Google Scholar PubMed PubMed Central

[13] Paananen M, O’Sullivan P, Straker L, Beales D, Coenen P, Karppinen J, Pennell C, Smith A. A low cortisol response to stress is associated with musculoskeletal pain combined with increased pain sensitivity in young adults: a longitudinal cohort study. Arthritis Res Ther 2015;17:355.10.1186/s13075-015-0875-zSearch in Google Scholar PubMed PubMed Central

[14] Naugle KM, Fillingim RB, Riley III JL. A meta-analytic review of the hypoalgesic effects of exercise. J Pain 2012;13:1139–50.10.1016/j.jpain.2012.09.006Search in Google Scholar PubMed PubMed Central

[15] Daenen L, Varkey E, Kellmann M, Nijs J. Exercise, not to exercise, or how to exercise in patients with chronic pain? Applying science to practice. Clin J Pain 2015;31:108–14.10.1097/AJP.0000000000000099Search in Google Scholar PubMed

[16] Vaegter HB, Handberg G, Graven-Nielsen T. Hypoalgesia after exercise and the cold pressor test is reduced in chronic musculoskeletal pain patients with high pain sensitivity. Clin J Pain 2016;32:58–69.10.1097/AJP.0000000000000223Search in Google Scholar PubMed

[17] Cook DB, Stegner AJ, Ellingson LD. Exercise alters pain sensitivity in Gulf War veterans with chronic musculoskeletal pain. J Pain 2010;11:764–72.10.1016/j.jpain.2009.11.010Search in Google Scholar PubMed

[18] Nielsen PK, Andersen LL, Olsen HB, Rosendal L, Sjøgaard G, Søgaard K. Effect of physical training on pain sensitivity and trapezius muscle morphology. Muscle Nerve 2010;41:836–44.10.1002/mus.21577Search in Google Scholar PubMed

[19] Andrzejewski W, Kassolik K, Brzozowski M, Cymer K. The influence of age and physical activity on the pressure sensitivity of soft tissues of the musculoskeletal system. J Bodyw Mov Ther 2010;14:382–90.10.1016/j.jbmt.2009.07.004Search in Google Scholar PubMed

[20] Geva N, Defrin R. Enhanced pain modulation among triathletes: a possible explanation for their exceptional capabilities. Pain 2013;154:2317–23.10.1016/j.pain.2013.06.031Search in Google Scholar PubMed

[21] Tesarz J, Schuster AK, Hartmann M, Gerhardt A, Eich W. Pain perception in athletes compared to normally active controls: a systematic review with meta-analysis. Pain 2012;153:1253–62.10.1016/j.pain.2012.03.005Search in Google Scholar PubMed

[22] Naugle KM, Riley JL, 3rd. Self-reported physical activity predicts pain inhibitory and facilitatory function. Med Sci Sports Exerc 2014;46:622–9.10.1249/MSS.0b013e3182a69cf1Search in Google Scholar PubMed PubMed Central

[23] Ellingson LD, Colbert LH, Cook DB. Physical activity is related to pain sensitivity in healthy women. Med Sci Sports Exerc 2012;44:1401–6.10.1249/MSS.0b013e318248f648Search in Google Scholar PubMed

[24] Waller R, Smith A, O’Sullivan P, Slater H, Sterling M, McVeigh J, Straker L. Pressure and cold pain threshold reference values in a large, young adult, pain-free population. Scand J Pain 2016;13:114–22.10.1016/j.sjpain.2016.08.003Search in Google Scholar PubMed

[25] Straker L, Mountain J, Jacques A, White S, Smith A, Landau L, Stanley F, Newnham J, Pennell C, Eastwood P. Cohort Profile: The Western Australian Pregnancy Cohort (Raine) Study–Generation 2. Int J Epidemiol 2017;46:1384–5j.10.1093/ije/dyw308Search in Google Scholar PubMed PubMed Central

[26] Straker LM, Hall GL, Mountain J, Howie EK, White E, McArdle N, Eastwood PR. Rationale, design and methods for the 22 year follow-up of the Western Australian Pregnancy Cohort (Raine) Study. BMC Public Health 2015;15:663.10.1186/s12889-015-1944-6Search in Google Scholar PubMed PubMed Central

[27] McVeigh JA, Winkler EA, Healy GN, Slater J, Eastwood PR, Straker LM. Validity of an automated algorithm to identify waking and in-bed wear time in hip-worn accelerometer data collected with a 24 h wear protocol in young adults. Physiol Meas 2016;37:1636–52.10.1088/0967-3334/37/10/1636Search in Google Scholar PubMed

[28] Matthews CE, Chen KY, Freedson PS, Buchowski MS, Beech BM, Pate RR, Troiano RP. Amount of time spent in sedentary behaviors in the United States, 2003–2004. Am J Epidemiol 2008;167:875–81.10.1093/aje/kwm390Search in Google Scholar PubMed PubMed Central

[29] Backonja MM, Attal N, Baron R, Bouhassira D, Drangholt M, Dyck PJ, Edwards RR, Freeman R, Gracely R, Haanpaa MH, Hansson P, Hatem SM, Krumova EK, Jensen TS, Maier C, Mick G, Rice AS, Rolke R, Treede R-D, Serra J, et al. Value of quantitative sensory testing in neurological and pain disorders: NeuPSIG consensus. Pain 2013;154: 1807–19.10.1016/j.pain.2013.05.047Search in Google Scholar PubMed

[30] Göbel H, Cordes P. Circadian variation of pain sensitivity in pericranial musculature. Headache 1990;30:418–22.10.1111/j.1526-4610.1990.hed3007418.xSearch in Google Scholar PubMed

[31] Javanshir K, Ortega-Santiago R, Mohseni-Bandpei MA, Miangolarra-Page JC, Fernandez-de-las-Penas C. Exploration of somatosensory impairments in subjects with mechanical idiopathic neck pain: a preliminary study. J Manipulative Physiol Ther 2010;33:493–9.10.1016/j.jmpt.2010.08.022Search in Google Scholar PubMed

[32] Rolke R, Baron R, Maier C, Tolle TR, Treede RD, Beyer A, Binder A, Birbaumer N, Birklein F, Botefur IC, Braune S, Flor H, Huge V, Klug R, Landwehrmeyer GB, Magerl W, Maihofner C, Rolko C, Schaub C, Scherens A, et al. Quantitative sensory testing in the German Research Network on Neuropathic Pain (DFNS): standardized protocol and reference values. Pain 2006;123:231–43.10.1016/j.pain.2006.01.041Search in Google Scholar PubMed

[33] Gröne E, Crispin A, Fleckenstein J, Irnich D, Treede R-D, Lang PM. Test order of quantitative sensory testing facilitates mechanical hyperalgesia in healthy volunteers. J Pain 2012;13:73–80.10.1016/j.jpain.2011.10.005Search in Google Scholar PubMed

[34] Walton DM, MacDermid JC, Nielson W, Teasell RW, Reese H, Levesque L. Reliability, standard error, and minimum detectable change of clinical pressure pain threshold testing in people with and without acute neck pain. J Orthop Sports Phys Ther 2011;41:644–50.10.2519/jospt.2011.3666Search in Google Scholar PubMed

[35] Waller R, Straker L, O’Sullivan P, Sterling M, Smith A. Reliability of pressure pain threshold testing in healthy pain free young adults. Scand J Pain 2015;9:38–41.10.1016/j.sjpain.2015.05.004Search in Google Scholar PubMed

[36] Ware J, Kosinski M, Turner-Bowker D, Gendek B. How to score version 2 of the SF-12 Health Survey. Lincoln, RI: Quality Metric Incorporated SF-12v2, 2002.Search in Google Scholar

[37] Ottevaere C, Huybrechts I, De Bourdeaudhuij I, Sjöström M, Ruiz JR, Ortega FB, Hagströmer M, Widhalm K, Molnár D, Moreno LA, Beghin L, Kafatos A, Polito A, Manios Y, Mártinez-Gómez D, De Henauw S. Comparison of the IPAQ-A and Actigraph in relation to VO2max among European adolescents: the HELENA study. J Sci Med Sport 2011;14: 317–24.10.1016/j.jsams.2011.02.008Search in Google Scholar PubMed

[38] Prince SA, Adamo KB, Hamel ME, Hardt J, Gorber SC, Tremblay M. A comparison of direct versus self-report measures for assessing physical activity in adults: a systematic review. Int J Behav Nutr Phys Act 2008;5:56.10.1186/1479-5868-5-56Search in Google Scholar PubMed PubMed Central

[39] Hennings A, Schwarz M, Riemer S, Stapf TM, Selberdinger VB, Rief W. The influence of physical activity on pain thresholds in patients with depression and multiple somatoform symptoms. Clin J Pain 2012;28:782–9.10.1097/AJP.0b013e318243e2d1Search in Google Scholar PubMed

[40] Armstrong N, Welsman JR. The physical activity patterns of European youth with reference to methods of assessment. Sports Med 2006;36:1067–86.10.2165/00007256-200636120-00005Search in Google Scholar PubMed

[41] McLoughlin MJ, Stegner AJ, Cook DB. The relationship between physical activity and brain responses to pain in fibromyalgia. J Pain 2011;12:640–51.10.1016/j.jpain.2010.12.004Search in Google Scholar PubMed PubMed Central

[42] Vaegter HB, Handberg G, Graven-Nielsen T. Similarities between exercise-induced hypoalgesia and conditioned pain modulation in humans. Pain 2014;155:158–67.10.1016/j.pain.2013.09.023Search in Google Scholar PubMed

[43] Sterne JAC, Smith GD. Sifting the evidence – what’s wrong with significance tests? BMJ 2001;322:226–31.10.1093/ptj/81.8.1464Search in Google Scholar PubMed

[44] Ellingson LD, Shields MR, Stegner AJ, Cook DB. Physical activity, sustained sedentary behavior, and pain modulation in women with fibromyalgia. J Pain 2012;13:195–206.10.1016/j.jpain.2011.11.001Search in Google Scholar PubMed PubMed Central

[45] Kawi J, Lukkahatai N, Inouye J, Thomason D, Connelly K. Effects of exercise on select biomarkers and associated outcomes in chronic pain conditions: systematic review. Biol Res Nurs 2016;18:147–59.10.1177/1099800415599252Search in Google Scholar PubMed

[46] Slater H, Paananen M, Smith A, O’Sullivan P, Briggs AM, Hickey M, Mountain J, Karppinen J, Beales D. Heightened cold pain and pressure pain sensitivity in young female adults with moderate-to-severe menstrual pain. Pain 2015;156:2468–78.10.1097/j.pain.0000000000000317Search in Google Scholar PubMed

[47] Healy GN, Matthews CE, Dunstan DW, Winkler EAH, Owen N. Sedentary time and cardio-metabolic biomarkers in US adults: NHANES 2003-06. Eur Heart J 2011;32:590–7.10.1093/eurheartj/ehq451Search in Google Scholar PubMed PubMed Central

[48] 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;31:661–6.10.2337/dc07-2046Search in Google Scholar PubMed

Received: 2019-02-28
Revised: 2019-04-29
Accepted: 2019-05-02
Published Online: 2019-05-29
Published in Print: 2019-10-25

©2019 Scandinavian Association for the Study of Pain. Published by Walter de Gruyter GmbH, Berlin/Boston. All rights reserved.

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