To evaluate secular trends in recreational sedentary behavior among high school students in the United States between 2003 and 2015.
Design:
A series of cross-sectional assessments over a 12-year period.
Setting:
Data from the 2003 to 2015 Youth Risk Behavior Surveillance System was used.
Participants:
Samples of 10 978 to 14 894 adolescents, drawn every 2 years: 2003 to 2015.
Measures:
The evaluated recreational self-reported sedentary behaviors included TV hours and computer hours that are not schoolwork.
Results:
For the entire sample, and using polynomial orthogonal coefficients via regression modeling, there was an upward linear trend for total sedentary behavior hours (β = 0.03; p = .001), a downward linear trend in TV watching (β = −0.06; p < .001), and an upward linear trend in computer use (β = 0.08; p < .001) from 2003 to 2015. Similar linear trends (p < .001) were observed across several subpopulations, including the groups by gender, race/ethnicity, and body mass index. However, various subpopulations differed in TV watching, with black or African American, and obese adolescents having the highest TV watching hours, respectively (eg, 3.82 h/d vs 3.13 h/d in 2015; blacks vs whites; p < .05). Various subpopulations also differed in computer use, with obese adolescents (4.26 h/d in 2015) having the highest computer use.
Conclusion:
There were significant changes from 2003 to 2015 in sedentary behavior patterns in the US adolescent population. Total recreational sedentary behavior increased in this period. Specifically, TV viewing decreased while computer use increased. Continued monitoring of sedentary behavior trends is needed to better understand the changing behaviors of American adolescents and how they relate to changes chronic disease risk.
TremblayMSAubertSBarnesJD, et al.Sedentary behavior research network (SBRN)–terminology consensus project process and outcome. Int J Behav Nutr Phy Act. 2017;14(1):75.
2.
AinsworthBEHaskellWLWhittMC, et al.Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sport Exerc. 2000;32(suppl 1):S498–S504.
3.
HaskellWLLeeI-MPateRR, et al.Physical activity and public health: updated recommendation for adults from the American College of Sports Medicine and the American Heart Association. Circulation. 2007;116(9):1081.
4.
de RezendeLFMLopesMRRey-LópezJPMatsudoVKRdo Carmo LuizO. Sedentary behavior and health outcomes: an overview of systematic reviews. PLoS One. 2014;9(8):e105620.
5.
ThorpAAOwenNNeuhausMDunstanDW. Sedentary behaviors and subsequent health outcomes in adults: a systematic review of longitudinal studies, 1996-2011. Am J Prev Med. 2011;41(2):207–215.
6.
OwenNHealyGNMatthewsCEDunstanDW. Too much sitting: the population-health science of sedentary behavior. Exerc Sport Sci Rev. 2010;38(3):105.
7.
HuFBLiTYColditzGAWillettWCMansonJE. Television watching and other sedentary behaviors in relation to risk of obesity and type 2 diabetes mellitus in women. JAMA. 2003;289(14):1785–1791.
8.
CrespoCJSmitETroianoRPBartlettSJMaceraCAAndersenRE. Television watching, energy intake, and obesity in US children: results from the third national health and nutrition examination survey, 1988-1994. Arch Pediatr Adolesc Med. 2001;155(3):360–365.
9.
MunJKimYFarnsworthJLSuhSKangM. Association between objectively measured sedentary behavior and a criterion measure of obesity among adults. Am J Hum Biol. 2018;30(2):e23080.
10.
MansonJEGreenlandPLaCroixAZ, et al.Walking compared with vigorous exercise for the prevention of cardiovascular events in women. N Engl J Med. 2002;347(10):716–725.
11.
WarrenTYBarryVHookerSPSuiXChurchTSBlairSN. Sedentary behaviors increase risk of cardiovascular disease mortality in men. Med Sci Sport Exerc. 2010;42(5):879.
12.
HancoxRJMilneBJPoultonR. Association between child and adolescent television viewing and adult health: a longitudinal birth cohort study. Lancet. 2004;364(9430):257–262.
13.
GrøntvedAHuFB. Television viewing and risk of type 2 diabetes, cardiovascular disease, and all-cause mortality: a meta-analysis. JAMA. 2011;305(23):2448–2455.
14.
HamiltonMTHamiltonDGZdericTW. The role of low energy expenditure and sitting on obesity, metabolic syndrome, type 2 diabetes, and cardiovascular disease. Diabetes. 2007;56(1):2655–2667.
15.
HealyGNWijndaeleKDunstanDW, et al.Objectively measured sedentary time, physical activity, and metabolic risk: the Australian Diabetes, Obesity and Lifestyle Study (AusDiab). Diabetes Care. 2008;31(2):369–371.
16.
KimHKangM. Sedentary behavior and metabolic syndrome in physically active adults: national health and nutrition examination survey 2003-2006. Am J Hum Biol. 2019:e23225.
17.
World Health Organization. Obesity: Preventing and Managing the Global Epidemic. Geneva, Switzerland: World Health Organization; 2000.
18.
KatzmarzykPTChurchTSCraigCLBouchardC. Sitting time and mortality from all causes, cardiovascular disease, and cancer. Med Sci Sport Exerc. 2009;41(5):998–1005.
19.
DunstanDBarrEHealyG, et al.Television viewing time and mortality: the Australian diabetes, obesity and lifestyle study (AusDiab). Circulation. 2010;121(3):384–391.
20.
PedišićŽDumuidDS OldsT. Integrating sleep, sedentary behaviour, and physical activity research in the emerging field of time-use epidemiology: definitions, concepts, statistical methods, theoretical framework, and future directions. Kinesiology. 2017;49(2):252–269.
21.
MatthewsCEChenKYFreedsonPS, et al.Amount of time spent in sedentary behaviors in the United States, 2003–2004. Am J Epidemiol. 2008;167(7):875–881.
22.
NgSWPopkinBM. Time use and physical activity: a shift away from movement across the globe. Obes Rev. 2012;13(8):659–680.
23.
SamdalOTynjäläJRobertsCSallisJFVillbergJWoldB. Trends in vigorous physical activity and TV watching of adolescents from 1986 to 2002 in seven European countries. Eur J Public Health. 2006;17(3):242–248.
24.
BuckschJSigmundovaDHamrikZ, et al.International trends in adolescent screen-time behaviors from 2002 to 2010. J Adolesc Health. 2016;58(4):417–425.
25.
LoprinziPDavisR. Secular trends in parent-reported television viewing among children in the United States, 2001-2012. Child Care Health Dev. 2016;42(2):288–291.
26.
DelvaJO’MalleyPMJohnstonLD. Racial/ethnic and socioeconomic status differences in overweight and health-related behaviors among American students: national trends 1986-2003. J Adolesc Health. 2006;39(4):536–545.
27.
LowryRLeeSMFultonJEKannL. Healthy people 2010 objectives for physical activity, physical education, and television viewing among adolescents: national trends from the Youth Risk Behavior Surveillance System, 1999-2007. J Phys Act Health. 2009;6(suppl 1):S36–S45.
28.
BassettDRJohnDCongerSAFitzhughECCoeDP. Trends in physical activity and sedentary behaviors of United States youth. J Phys Act Health. 2015;12(8):1102–1111.
29.
NelsonMCNeumark-StzainerDHannanPJSirardJRStoryM. Longitudinal and secular trends in physical activity and sedentary behavior during adolescence. Pediatrics. 2006;118(6):e1627–e1634.
30.
IannottiRJWangJ. Trends in physical activity, sedentary behavior, diet, and BMI among US adolescents, 2001-2009. Pediatrics. 2013;132(4):606–614.
31.
HoganDP. The variable order of events in the life course. Am Sociol Rev. 1978;43(4):573–586.
32.
RindfussRR. The young adult years: diversity, structural change, and fertility. Demography. 1991;28(4):493–512.
33.
GoldscheiderFThorntonAYoung-DeMarcoL. A portrait of the nest-leaving process in early adulthood. Demography. 1993;30(4):683–699.
34.
Gordon-LarsenPAdairLSNelsonMCPopkinBM. Five-year obesity incidence in the transition period between adolescence and adulthood: the National Longitudinal Study of Adolescent Health. Am J Clin Nutr. 2004;80(3):569–575.
35.
PateRRTrostSGDowdaM, et al.Tracking of physical activity, physical inactivity, and health-related physical fitness in rural youth. Pediatr Exerc Sci. 1999;11(4):364–376.
36.
RowlandTWFreedsonPS. Physical activity, fitness, and health in children: a close look. Pediatrics. 1994;93(4):669–672.
SigmundováDEl AnsariWSigmundEFrömelK. Secular trends: a ten-year comparison of the amount and type of physical activity and inactivity of random samples of adolescents in the Czech Republic. BMC Public Health. 2011;11(1):731.
39.
SilvaKSda Silva LopesADumithSCGarciaLMTBezerraJNahasMV. Changes in television viewing and computers/videogames use among high school students in Southern Brazil between 2001 and 2011. Int J Public Health. 2014;59(1):77–86.
40.
BuckschJInchleyJHamrikZFinneEKolipP. Trends in television time, non-gaming PC use and moderate-to-vigorous physical activity among German adolescents 2002-2010. BMC Public Health. 2014;14(1):351.
41.
JordanABRobinsonTN. Children, television viewing, and weight status: summary and recommendations from an expert panel meeting. ANN Am Acad Polit Soc Sci. 2008;615(1):119–132.
42.
JefferyRWFrenchSA. Epidemic obesity in the United States: are fast foods and television viewing contributing?Am J Public Health. 1998;88(2):277–280.
43.
HitchingsEMoynihanP. The relationship between television food advertisements recalled and actual foods consumed by children. J Hum Nutr Diet. 1998;11(6):511–517.
44.
MarshallSJBiddleSJGorelyTCameronNMurdeyI. Relationships between media use, body fatness and physical activity in children and youth: a meta-analysis. Int J Obesity. 2004;28(10):1238.
45.
BrenerNDKannLMcManusTKinchenSASundbergECRossJG. Reliability of the 1999 youth risk behavior survey questionnaire. J Adolesc Health. 2002;31(4):336–342.
46.
BrenerNDKannLShanklinS, et al.Methodology of the Youth Risk Behavior Surveillance System—2013. MMWR Recomm Rep. 2013;62(1):1–20.
47.
BrenerNDKannLKinchenSA, et al.Methodology of the Youth Risk Behavior Surveillance System. MMWR Recomm Rep. 2004;53(RR-12):1–13.
48.
BrenerNDBillyJOGradyWR. Assessment of factors affecting the validity of self-reported health-risk behavior among adolescents: evidence from the scientific literature. J Adolesc Health. 2003;33(6):436–457.
