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Sedentary Behavior in People with and without a Chronic Health Condition: How Much, What and When?

  • Received: 29 March 2016 Accepted: 26 July 2016 Published: 03 August 2016
  • Purpose: To describe sedentary behaviors (duration, bouts and context) in people with and without a chronic health condition. Methods: Design: Secondary analysis of two cross-sectional studies. Participants: People with stable chronic obstructive pulmonary disease (COPD) (n = 24, male:female 18:6) and their spousal carers (n = 24, 6:18); stroke survivors (n = 24, 16:8) and
    age- and sex-matched healthy adults (n = 19, 11:8). Level of physiological impairment was measured with post-bronchodilator spirometry (FEV1 %predicted) for people with COPD, and walking speed for people with stroke. Outcomes: Participants were monitored over seven days (triaxial accelerometer, Sensewear armband) to obtain objective data on daily sedentary time, and prolonged sedentary bouts (≥ 30 min). During the monitoring period, a 24-hour use of time recall instrument was administered by telephone interview to explore the context of sedentary activities (e.g. television, computer or reading). Sedentary time was quantified using accelerometry and recall data, and group differences were explored. Linear regression examined associations between physiological impairment and sedentary time. Results: Participant groups were similar in terms of age (COPD 75 ± 8, carers 70 ± 11, stroke 69 ± 10, healthy 73 ± 7 years) and body mass index (COPD 28 ± 4, carers 27 ± 4, stroke 31 ± 4, healthy 26 ± 4 kg.m–2). The healthy group had the lowest sedentary time (45% of waking hours), followed by the carer (54%), stroke (60%) and COPD (62%) groups (p < 0.0001). Level of physiological impairment was an independent predictor of waking sedentary time (p = 0.001). Conclusions: People with a chronic health condition spent more time sedentary than those without a chronic condition, and there were small but clear differences between groups in the types of activities undertaken during sedentary periods. The study findings may aid in the design of targeted interventions to decrease sedentary time in people with chronic health conditions.

    Citation: Lucy K. Lewis, Toby Hunt, Marie T. Williams, Coralie English, Tim S. Olds. Sedentary Behavior in People with and without a Chronic Health Condition: How Much, What and When?[J]. AIMS Public Health, 2016, 3(3): 503-519. doi: 10.3934/publichealth.2016.3.503

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  • Purpose: To describe sedentary behaviors (duration, bouts and context) in people with and without a chronic health condition. Methods: Design: Secondary analysis of two cross-sectional studies. Participants: People with stable chronic obstructive pulmonary disease (COPD) (n = 24, male:female 18:6) and their spousal carers (n = 24, 6:18); stroke survivors (n = 24, 16:8) and
    age- and sex-matched healthy adults (n = 19, 11:8). Level of physiological impairment was measured with post-bronchodilator spirometry (FEV1 %predicted) for people with COPD, and walking speed for people with stroke. Outcomes: Participants were monitored over seven days (triaxial accelerometer, Sensewear armband) to obtain objective data on daily sedentary time, and prolonged sedentary bouts (≥ 30 min). During the monitoring period, a 24-hour use of time recall instrument was administered by telephone interview to explore the context of sedentary activities (e.g. television, computer or reading). Sedentary time was quantified using accelerometry and recall data, and group differences were explored. Linear regression examined associations between physiological impairment and sedentary time. Results: Participant groups were similar in terms of age (COPD 75 ± 8, carers 70 ± 11, stroke 69 ± 10, healthy 73 ± 7 years) and body mass index (COPD 28 ± 4, carers 27 ± 4, stroke 31 ± 4, healthy 26 ± 4 kg.m–2). The healthy group had the lowest sedentary time (45% of waking hours), followed by the carer (54%), stroke (60%) and COPD (62%) groups (p < 0.0001). Level of physiological impairment was an independent predictor of waking sedentary time (p = 0.001). Conclusions: People with a chronic health condition spent more time sedentary than those without a chronic condition, and there were small but clear differences between groups in the types of activities undertaken during sedentary periods. The study findings may aid in the design of targeted interventions to decrease sedentary time in people with chronic health conditions.


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    [1] Sedentary Behavior Network, What is Sedentary Behavior? 2015. Available from: http://www.sedentarybehaviour.org/what-is-sedentary-behaviour/.
    [2] Beunza JJ, Martínez-González MÁ, Ebrahim S, et al. (2007) Sedentary Behaviors and the risk of incident hypertension. The SUN cohort. Am J Hypertens 20: 1156-1162.
    [3] 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
    [4] Tremblay MS, Colley RC, Saunders TJ, et al. (2010) Physiological and health implications of a sedentary lifestyle. Appl Physiol Nutr Metab 35: 725-740. doi: 10.1139/H10-079
    [5] Healy GN, Matthews CE, Dunstan DW, et al. (2011) Sedentary time and cardio-metabolic biomarkers in US adults: NHANES 2003–06. Eur Heart J 32(5): 590-597.
    [6] Henson J, Yates T, Biddle SJ, et al. (2013) Associations of objectively measured sedentary behaviour and physical activity with markers of cardiometabolic health. Diabetologia
    56: 1012-1020. doi: 10.1007/s00125-013-2845-9
    [7] Dunstan DW, Salmon J, Healy GN, et al. (2007) Association of television viewing with fasting and 2-h postchallenge plasma glucose levels in adults without diagnosed diabetes. Diabetes Care 30: 516-522. doi: 10.2337/dc06-1996
    [8] Gardiner PA, Eakin EG, Healy GN, et al. (2011) Feasibility of reducing older adults’ sedentary time. Am J Prev Med 41: 174-177. doi: 10.1016/j.amepre.2011.03.020
    [9] Kozey-Keadle S, Libertine A, Lyden K, et al. (2011) Validation of wearable monitors for assessing sedentary behavior. Med Sci Sports Exercise 43: 1561-1567. doi: 10.1249/MSS.0b013e31820ce174
    [10] Alzahrani MA, Ada L, Dean CM (2011) Duration of physical activity is normal but frequency is reduced after stroke: an observational study. J Physiother 57: 47-51. doi: 10.1016/S1836-9553(11)70007-8
    [11] English C, Healy GN, Coates A, et al. (2016) Sitting and activity time in people with stroke. Phys Ther 96 (2): 193-201.
    [12] Kunkel D, Fitton C, Burnett M, et al. (2015) Physical inactivity post-stroke: a 3-year longitudinal study. Disabil Rehabil 37: 304-310. doi: 10.3109/09638288.2014.918190
    [13] Moore SA, Hallsworth K, Plötz T, et al. (2013) Physical activity, sedentary behaviour and metabolic control following stroke: a cross-sectional and longitudinal study. PLoS One 8: e55263. doi: 10.1371/journal.pone.0055263
    [14] Breyer M-K, Breyer-Kohansal R, Funk G-C, et al. (2010) Nordic walking improves daily physical activities in COPD: a randomised controlled trial. Respir Res 11: 112. doi: 10.1186/1465-9921-11-112
    [15] Hernandes NA, Teixeira DdC, Probst VS, et al. (2009) Profile of the level of physical activity in the daily lives of patients with COPD in Brazil. Jornal Brasileiro de Pneumologia 35: 949-956.
    [16] Pitta F, Breyer M-K, Hernandes NA, et al. (2009) Comparison of daily physical activity between COPD patients from Central Europe and South America. Respir Med 103: 421-426. doi: 10.1016/j.rmed.2008.09.019
    [17] Pitta F, Troosters T, Spruit MA, et al. (2005) Activity monitoring for assessment of physical activities in daily life in patients with chronic obstructive pulmonary disease. Arch Phys Med Rehabil 86: 1979-1985. doi: 10.1016/j.apmr.2005.04.016
    [18] Portegies ML, Lahousse L, Joos GF, et al. (2015) Chronic Obstructive Pulmonary Disease and the Risk of Stroke: the Rotterdam Study. Am J Respir Crit Care Med.
    [19] Hunt T, Williams MT, Olds TS (2013) Reliability and validity of the multimedia activity recall in children and adults (MARCA) in people with chronic obstructive pulmonary disease. PloS One 8: e81274. doi: 10.1371/journal.pone.0081274
    [20] Global Initiative for Chronic Obstructive Lung Disease (GOLD), Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease, 2016, Available from: http://www.goldcopd.org/uploads/users/files/WatermarkedGlobal%20Strategy%202016(1).pdf.
    [21] Folstein MF, Folstein SE, McHugh PR (1975) “Mini-mental state”: a practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 12: 189-198. doi: 10.1016/0022-3956(75)90026-6
    [22] Nasreddine ZS, Phillips NA, Bédirian V, et al. (2005) The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc 53: 695-699. doi: 10.1111/j.1532-5415.2005.53221.x
    [23] Manns PJ, Haennel RG (2012) Sensewear Armband and stroke: validity of energy expenditure and step count measurement during walking. Stroke Res Treat Article ID 247165, 8 pages, doi:10.1155/2012/247165.
    [24] Manns PJ, Baldwin E (2009) Ambulatory activity of stroke survivors measurement options for dose, intensity, and variability of activity. Stroke 40: 864-867. doi: 10.1161/STROKEAHA.108.531590
    [25] Manns PJ, Dunstan DW, Owen N, et al. (2012) Addressing the nonexercise part of the activity continuum: a more realistic and achievable approach to activity programming for adults with mobility disability? Phys Ther 92: 614-625. doi: 10.2522/ptj.20110284
    [26] Roos MA, Rudolph KS, Reisman DS (2012) The structure of walking activity in people after stroke compared with older adults without disability: a cross-sectional study. Phys Ther 92: 1141-1147. doi: 10.2522/ptj.20120034
    [27] Sharif MM, BaHammam AS (2013) Sleep estimation using BodyMedia’s SenseWear™ armband in patients with obstructive sleep apnea. Ann Thorac Med 8: 53. doi: 10.4103/1817-1737.105720
    [28] Donaire-Gonzalez D, Gimeno-Santos E, Balcells E, et al. (2013) Physical activity in COPD patients: patterns and bouts. Eur Respir J 42: 993-1002. doi: 10.1183/09031936.00101512
    [29] Lang CE, Bland MD, Bailey RR, et al. (2013) Assessment of upper extremity impairment, function, and activity after stroke: foundations for clinical decision making. J Hand Ther 26: 104-115. doi: 10.1016/j.jht.2012.06.005
    [30] Watz H, Waschki B, Meyer T, et al. (2009) Physical activity in patients with COPD. Eur Respir J 33: 262-272.
    [31] Pate RR, O’Neill JR, Lobelo F (2008) The evolving definition of" sedentary". Exercise Sport Sci Rev 36: 173-178. doi: 10.1097/JES.0b013e3181877d1a
    [32] Gomersall SR, Olds TS, Ridley K (2011) Development and evaluation of an adult use-of-time instrument with an energy expenditure focus. J Sci Med Sport 14: 143-148. doi: 10.1016/j.jsams.2010.08.006
    [33] Ridley K, Olds TS, Hill A (2006) The multimedia activity recall for children and adolescents (MARCA): development and evaluation. Int J Behav Nutr Phys Act 3: 10. doi: 10.1186/1479-5868-3-10
    [34] Ainsworth BE, Haskell WL, Herrmann SD, et al. (2011) 2011 Compendium of Physical Activities: a second update of codes and MET values. Med Sci Sports Exercise 43: 1575-1581. doi: 10.1249/MSS.0b013e31821ece12
    [35] Ainsworth BE, Haskell WL, Whitt MC, et al. (2000) Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sports Exercise 32: S498-S504. doi: 10.1097/00005768-200009001-00009
    [36] Foley LS, Maddison R, Rush E, et al. (2013) Doubly labeled water validation of a computerized use-of-time recall in active young people. Metabolism 62: 163-169. doi: 10.1016/j.metabol.2012.07.021
    [37] Pitta F, Troosters T, Spruit MA, et al. (2005) Characteristics of physical activities in daily life in chronic obstructive pulmonary disease. Am J Respir Crit Care Med 171: 972-977. doi: 10.1164/rccm.200407-855OC
    [38] Michael KM, Allen JK, Macko RF (2005) Reduced ambulatory activity after stroke: the role of balance, gait, and cardiovascular fitness. Arch Phys Med Rehabil 86: 1552-1556. doi: 10.1016/j.apmr.2004.12.026
    [39] Healy GN, Dunstan DW, Salmon J, et al. (2008) Breaks in sedentary time beneficial associations with metabolic risk. Diabetes Care 31: 661-666. doi: 10.2337/dc07-2046
    [40] Schmid A, Duncan PW, Studenski S, et al. (2007) Improvements in speed-based gait classifications are meaningful. Stroke 38: 2096-2100. doi: 10.1161/STROKEAHA.106.475921
    [41] Pitta F, Takaki MY, de Oliveira NH, et al. (2008) Relationship between pulmonary function and physical activity in daily life in patients with COPD. Respir Med 102: 1203-1207. doi: 10.1016/j.rmed.2008.03.004
    [42] Hoffmann M (2001) Higher cortical function deficits after stroke: an analysis of 1,000 patients from a dedicated cognitive stroke registry. Neurorehabilitation Neural Repair 15: 113-127. doi: 10.1177/154596830101500205
    [43] Incalzi RA, Marra C, Giordano A, et al. (2003) Cognitive impairment in chronic obstructive pulmonary disease. J Neurol 250: 325-332. doi: 10.1007/s00415-003-1005-4
    [44] Liesker JJ, Postma DS, Beukema RJ, et al. (2004) Cognitive performance in patients with COPD. Respir Med 98: 351-356. doi: 10.1016/j.rmed.2003.11.004
    [45] Wilson RS, Bennett DA (2003) Cognitive activity and risk of Alzheimer’s disease. Curr Dir Psychol Sci 12: 87-91. doi: 10.1111/1467-8721.01236
    [46] Wilson RS, Segawa E, Boyle PA, et al. (2012) Influence of late-life cognitive activity on cognitive health. Neurology 78: 1123-1129. doi: 10.1212/WNL.0b013e31824f8c03
    [47] Cavalheri V, Donária L, Ferreira T, et al. (2011) Energy expenditure during daily activities as measured by two motion sensors in patients with COPD. Respir Med 105: 922-929. doi: 10.1016/j.rmed.2011.01.004
    [48] Houdijk H, ter Hoeve N, Nooijen C, et al. (2010) Energy expenditure of stroke patients during postural control tasks. Gait Posture 32: 321-326. doi: 10.1016/j.gaitpost.2010.05.016
    [49] Detrembleur C, Dierick F, Stoquart G, et al. (2003) Energy cost, mechanical work, and efficiency of hemiparetic walking. Gait Posture 18: 47-55.
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