Cross-Sectional analysis of levels and patterns of objectively measured sedentary time in adolescent females

International Journal of Behavioral Nutrition and Physical Activity

Alan E Donnelly¹  Alan K Bourke²  Kieran P Dowd¹  Deirdre M Harrington¹ 

[1] Department of Physical Education and Sport Sciences, University of Limerick, Limerick, Ireland;Department of Electronic and Computer Engineering, University of Limerick, Limerick, Ireland

关键词: methodology;    school;    sitting;    ActivPAL;    adolescent females;    Sedentary;   

Others  :  1153523
DOI  :  10.1186/1479-5868-8-120

 received in 2011-03-22, accepted in 2011-10-28,  发布年份 2011

【 摘 要 】

Background

Adolescent females have been highlighted as a particularly sedentary population and the possible negative effects of a sedentary lifestyle are being uncovered. However, much of the past sedentary research is based on self-report or uses indirect methods to quantity sedentary time. Total time spent sedentary and the possible intricate sedentary patterns of adolescent females have not been described using objective and direct measure of body inclination. The objectives of this article are to examine the sedentary levels and patterns of a group of adolescent females using the ActivPAL™ and to highlight possible differences in sedentary levels and patterns across the week and within the school day. A full methodological description of how the data was analyzed is also presented.

Methods

One hundred and eleven adolescent females, age 15-18 yrs, were recruited from urban and rural areas in the Republic of Ireland. Participants wore an ActivPAL physical activity monitor for a 7.5 day period. The ActivPAL directly reports total time spent sitting/lying every 15 seconds and accumulation (frequency and duration) of sedentary activity was examined using a customized MATLAB^® computer software programme.

Results

While no significant difference was found in the total time spent sitting/lying over the full 24 hour day between weekday and weekend day (18.8 vs. 18.9 hours; p = .911), significantly more sedentary bouts of 1 to 5 minutes and 21 to 40 minutes in duration were accumulated on weekdays compared to weekend days (p < .001). The mean length of each sedentary bout was also longer (9.8 vs. 8.8 minutes; p < .001). When school hours (9 am-3 pm) and after school hours (4 pm-10 pm) were compared, there was no difference in total time spent sedentary (3.9 hours; p = .796) but the pattern of accumulation of the sedentary time differed. There were a greater number of bouts of > 20 minutes duration during school hours than after school hours (4.7 vs. 3.5 bouts; p < .001) while after school time consisted of shorter bouts < 20 minutes.

Conclusions

School is highlighted as a particularly sedentary setting for adolescent females. Interventions to decrease sedentary time at school and the use of wearable devices which distinguish posture should be encouraged when examining sedentary patterns and behaviors in this population.

【 授权许可】

   
2011 Harrington et al; licensee BioMed Central Ltd.

【 图 表 】

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【 参考文献 】

• [1]Bassett DR, Freedson P, Kozey S: Medical hazards of prolonged sitting. Exerc Sport Sci Rev 2010, 38:101-02.
• [2]Owen N, Healy GN, Matthews CE, et al.: Too much sitting: the population health science of sedentary behavior. Exerc Sport Sci Rev 2010, 38:105-13.
• [3]Hamilton MT, Hamilton DG, Zderic TW: Role of low energy expenditure and sitting in obesity, metabolic syndrome, type 2 diabetes, and cardiovascular disease. Diabetes 2007, 56:2655-67.
• [4]Sisson SB, Church TS, Martin CK, et al.: Profiles of sedentary behavior in children and adolescents: The US National Health and Nutrition Examination Survey, 2001-2006. Int J Ped Obesity 2009, 4:353-59.
• [5]te Velde SJ, De Bourdeaudhuij I, Thorsdottir I, et al.: Patterns in sedentary and exercise behaviors and associations with overweight in 9-14-year-old boys and girls-a cross-sectional study. BMC Public Health 2007., 7
• [6]Biddle SJH, Gorely T, Marshall SJ, et al.: The prevalence of sedentary behavior and physical activity in leisure time: A study of Scottish adolescents using ecological momentary assessment. Prev Med 2009, 48:151-55.
• [7]Gorely T, Marshall SJ, Biddle SJH, et al.: Patterns of sedentary behaviour and physical activity among adolescents in the United Kingdom: project STIL. J Behav Med 2007, 30:521-31.
• [8]Jago R, Anderson CB, Baranowski T, et al.: Adolescent patterns of physical activity. Differences by gender, day, and time of day. Am J Prev Med 2005, 28:447-52.
• [9]Martínez-Gómez D, Eisenmann JC, Gómez-Martínez S, et al.: Sedentary behavior, adiposity, and cardiovascular risk factors in adolescents. The AFINOS study. Rev Esp Cardiol (English Edition) 2010, 63:277-85.
• [10]Martinez-Gomez D, Ortega FB, Ruiz JR, et al.: Excessive sedentary time and low cardiorespiratory fitness in European adolescents: the HELENA study. Arch Dis Child 2011, 96:240-46.
• [11]Matthews CE, Chen KY, Freedson PS, et al.: Amount of time spent in sedentary behaviours in the United States, 2003-2004. Am J Epidemiol 2008, 167:875-81.
• [12]Riddoch CJ, Mattocks C, Deere K, et al.: Objective measurement of levels and patterns of physical activity. Arch Dis Child 2007, 92:963-69.
• [13]Bauman A, Ainsworth BE, Sallis JF, et al.: The descriptive epidemiology of sitting: A 20-country comparison using the International Physical Activity Questionnaire (IPAQ). Am J Prev Med 2011, 41:228-35.
• [14]Kozey-Keadle S, Libertine A, Lyden K, et al.: Validation of wearable monitors for assessing sedentary behavior. Med Sci Sports Exerc 2011, 43:1561-67.
• [15]Dunstan DW, Salmon J, Healy GN, et al.: Association of television viewing with fasting and 2-h postchallenge plasma glucose levels in adults without diagnosed diabetes. Diabetes Care 2007, 30:516-22.
• [16]Katzmarzyk PT, Church TS, Craig CL, et al.: Sitting time and mortality from all causes, cardiovascular disease and cancer. Med Sci Sports Exerc 2009, 41:998-1005.
• [17]Healy GN, Dunstan DW, Salmon J, et al.: Objectively measured light-intensity physical activity is independantly associated with 2-h plasma glucose. Diabetes Care 2007, 30:1384-89.
• [18]Sisson SB, Camhi SM, Church TS, et al.: Leisure time sedentary behavior, occupational/domestic physical activity, and metabolic syndrome in U.S. men and women. Metab Syndr Relat Disord 2009, 7:529-36.
• [19]Dunstan DW, Barr ELM, Healy GN, et al.: Television viewing time and mortality: The Australian diabetes, obesity and lifestyle study (AusDiab). Circulation 2010, 121:384-91.
• [20]Healy GN, Winjndaele K, Dunstan DW, et al.: Objectively measured sedentary time, physical activity, and metabolic risk. Diabetes Care 2008, 31:369-71.
• [21]Thorp AA, Healy GN, Owen N, et al.: Deleterious associations of sitting time and television viewing time with cardio-metabolic risk biomarkers: AusDiab 2004-2005. Diabetes Care 2009.
• [22]Warren TY, Barry V, Hooker SP, et al.: Sedentary behaviors increase risk of cardiovascular disease mortality in men. Med Sci Sports Exerc 2010, 42:879-85.
• [23]Marshall SJ, Biddle SJH, Gorely T, et al.: Relationships between media use, body fatness and physical activity in children and youth: a meta-analysis. Int J Obesity 2004, 28:1238-46.
• [24]Hancox RJ, Milne BJ, Poulton R: Association between child and adolescent television viewing and adult health: a longitudianal birth cohort study. Lancet 2004, 364:257-62.
• [25]Ekelund U, Brage S, Froberg K, et al.: TV viewing and physical activity are independently associated with metabolic risk in children: The European Youth Heart Study. PLoS Med 2006, 3:e488.
• [26]Robinson TN, Hammer LD, Wilson DM, et al.: Does television viewing increase obesity and reduce physical activity? Cross-sectional and longitudinal analyses among adolescent girls. Pediatrics 1993, 91:273-80.
• [27]Carson V, Janssen I: Volume, patterns, and types of sedentary behavior and cardio-metabolic health in children and adolescents: a cross-sectional study. BMC Public Health 2011., 11
• [28]Proper KI, Singh AS, van Mechelen W, et al.: Sedentary behaviors and health outcomes among adults: A systematic review of prospective studies. Am J Prev Med 2011, 40:174-82.
• [29]Harrington DM, Welk GJ, Donnelly AE: Validation of MET estimates and step measurement using the ActivPAL physical activity logger. J Sport Sci 2011, 29:627-33.
• [30]Taraldsen K, Askim T, Sletvold O, et al.: Evaluation of a body-worn sensor system to measure physical activity in older people with impaired function. Phys Ther 2011, 91:277-85.
• [31]Maddocks M, Petrou A, Skipper L, et al.: Validity of three accelerometers during treadmill walking and motor vehicle travel. Brit J Sport Med 2010, 44:606-08.
• [32]Skipworth RJE, Stene GB, Dahele M, et al.: Patient-focused endpoints in advanced cancer: Criterion-based validation of accelerometer-based activity monitoring. Clin Nutr 2011, in press.
• [33]Hart TL, McClain JJ, Tudor-Locke C: Controlled and free-living evaluation of objective measures of sedentary and active behaviors. J Phys Act Health 2011, 8:848-57.
• [34]Grant PM, Ryan CG, Tigbe WW, et al.: The validation of a novel activity monitor in the measurement of posture and motion during everyday activities. Brit J Sports Med 2006, 40:992-97.
• [35]Godfrey A, Culhane KM, Lyons GM: Comparison of the performance of the ActivPAL™ Professional physical activity logger to a discrete accelerometer-based activity monitor. Med Eng Phys 2006, 29:930-34.
• [36]Salmon J, Tremblay M, Marshall SJ, et al.: Health risks, correlates, and interventions to reduce sedentary behavior in young people. Am J Prev Med 2011, 42:197-206.
• [37]Clark BK, Sugiyama T, Healy GN, et al.: Validity and reliability of measures of television viewing time and other non-occupational sedentary behaviour of adults: a review. Obes Rev 2009, 10:7-16.
• [38]Trost SG, McIver KL, Pate RR: Conducting accelerometer-based activity assessments in field-based research. Med Sci Sports Exerc 2005, 37:S531-S43.
• [39]Healy GN, Dunstan DW, Salmon J, et al.: Breaks in sedentary time. Beneficial associations with metabolic risk. Diabetes Care 2008, 31:661-66.
• [40]Steele RM, van Sluijs EMF, Sharp SJ, et al.: An investigation of patterns of children's sedentary and vigorous physical activity throughout the week. Int J Behav Nutr Phys Act 2010., 7
• [41]Ruiz JR, Ortega FB, Martinez-Gómez D, et al.: Objectively measured physical activity and sedentary time in European adolescents: the HELENA study. Am J Epidemiol 2011, 174:173-84.
• [42]Sirard JR, Kubik MY, Fulkerson JA, et al.: Objectively measured physical activity in urban alternative high school students. Med Sci Sports Exerc 2008, 40:2088-95.
• [43]Treuth MS, Catellier DJ, Schmitz KH, et al.: Weekend and weekday patterns of physical activity in overweight and normal-weight adolescent girls. Obesity 2007, 15:1782-88.
• [44]Treuth MS, Hou N, Young DR, et al.: Accelerometry-measured activity or sedentary time and overweight in rural boys and girls. Obes Res 2005, 13:1606-14.
• [45]Sisson SB, Broyles ST, Baker BL, et al.: Screen time, physical activity, and overweight in U.S. youth: National Survey of Children's Health 2003. J Adol Health 2010, 47:309-11.
• [46]Biddle SJH, Pearson N, Ross GM, et al.: Tracking of sedentary behaviours of young people: A systematic review. Prev Med 2010, 51:345-51.
• [47]DeMattia L, Lemont L, Meurer L: Do interventions to limit sedentary behaviours change behaviour and reduce childhood obesity? A critical review of the literature. Obes Rev 2007, 8:69-81.