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Published in: BMC Public Health 1/2015

Open Access 01-12-2015 | Research article

Developmental trajectories of physical activity and television viewing during adolescence among girls: National Growth and Health Cohort Study

Authors: Soyang Kwon, Jungwha Lee, Mercedes R. Carnethon

Published in: BMC Public Health | Issue 1/2015

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Abstract

Background

Analytic methodology for investigating physical activity patterns over time has been limited. The aim of this study was to demonstrate the group-based trajectory analysis process for identifying developmental physical activity (PA) and television (TV) viewing trajectories and the risk factor of PA trajectories, and for examining a relationship between PA and TV viewing trajectories among adolescent girls.

Methods

Secondary analysis was conducted using the National Growth and Health Study (NGHS) dataset. The NGHS administered the Habitual Activity Questionnaire and TV viewing questionnaire to White and Black girls at age 10, 12, 14, 16, 17, 18, and 19 years. Group-based trajectory analyses were conducted to identify distinct PA trajectories. Race was chosen to present an example of the risk factor analysis and was added as a predictor in the trajectory model. Dual-trajectory analysis was conducted to estimate probabilities of TV viewing trajectory groups conditional on the PA trajectory groups.

Results

A total of 2,155 girls (52 % Black) were included in the data analysis. We identified four PA trajectories: substantially decreasing from high PA (PA group 1, 9.4 %), maintaining moderate PA (PA group 2, 31.6 %), maintaining high PA (PA group 3, 5.8 %), and decreasing from moderate PA (PA group 4, 53.2 %). A significantly lower proportion of Black girls had high PA levels at baseline and maintained their baseline PA than White girls. Most girls who were classified as maintaining high PA (88 %) were also classified as decreasing TV viewing.

Conclusions

A group-based trajectory approach provides new insights about the patterns of maintaining moderate or high levels of PA that exist among adolescent girls. However, a lower proportion of Black girls followed the maintenance patterns than White girls. The behavioral development of PA and TV viewing may be intertwined among adolescent girls.
Literature
1.
go back to reference Eime RM, Young JA, Harvey JT, Charity MJ, Payne WR. A systematic review of the psychological and social benefits of participation in sport for children and adolescents: informing development of a conceptual model of health through sport. Int J Behav Nutr Phys Act. 2013;10:98.CrossRefPubMedPubMedCentral Eime RM, Young JA, Harvey JT, Charity MJ, Payne WR. A systematic review of the psychological and social benefits of participation in sport for children and adolescents: informing development of a conceptual model of health through sport. Int J Behav Nutr Phys Act. 2013;10:98.CrossRefPubMedPubMedCentral
2.
go back to reference US Department of Health and Human Services. Physical Activity Guidelines Advisory Committee Report. Washington, DC: U.S. Department of Health and Human Services; 2008. US Department of Health and Human Services. Physical Activity Guidelines Advisory Committee Report. Washington, DC: U.S. Department of Health and Human Services; 2008.
3.
go back to reference Floriani V, Kennedy C. Promotion of physical activity in children. Curr Opin Pediatr. 2008;20(1):90–5.CrossRefPubMed Floriani V, Kennedy C. Promotion of physical activity in children. Curr Opin Pediatr. 2008;20(1):90–5.CrossRefPubMed
4.
go back to reference Taveras EM, Field AE, Berkey CS, Rifas-Shiman SL, Frazier AL, Colditz GA, et al. Longitudinal relationship between television viewing and leisure-time physical activity during adolescence. Pediatrics. 2007;119(2):e314–9.CrossRefPubMedPubMedCentral Taveras EM, Field AE, Berkey CS, Rifas-Shiman SL, Frazier AL, Colditz GA, et al. Longitudinal relationship between television viewing and leisure-time physical activity during adolescence. Pediatrics. 2007;119(2):e314–9.CrossRefPubMedPubMedCentral
5.
go back to reference Epstein LH, Roemmich JN, Paluch RA, Raynor HA. Physical activity as a substitute for sedentary behavior in youth. Ann Behav Med. 2005;29(3):200–9.CrossRefPubMed Epstein LH, Roemmich JN, Paluch RA, Raynor HA. Physical activity as a substitute for sedentary behavior in youth. Ann Behav Med. 2005;29(3):200–9.CrossRefPubMed
6.
go back to reference Robinson TN, Hammer LD, Killen JD, Kraemer HC, Wilson DM, Hayward C, et al. Does television viewing increase obesity and reduce physical activity? Cross-sectional and longitudinal analyses among adolescent girls. Pediatrics. 1993;91(2):273–80.PubMed Robinson TN, Hammer LD, Killen JD, Kraemer HC, Wilson DM, Hayward C, et al. Does television viewing increase obesity and reduce physical activity? Cross-sectional and longitudinal analyses among adolescent girls. Pediatrics. 1993;91(2):273–80.PubMed
7.
go back to reference Kwon S, Burns TL, Levy SM, Janz KF. Which contributes more to childhood adiposity-high levels of sedentarism or low levels of moderate-through-vigorous physical activity? The Iowa Bone Development Study. J Pediatr. 2013;162(6):1169–74.CrossRefPubMedPubMedCentral Kwon S, Burns TL, Levy SM, Janz KF. Which contributes more to childhood adiposity-high levels of sedentarism or low levels of moderate-through-vigorous physical activity? The Iowa Bone Development Study. J Pediatr. 2013;162(6):1169–74.CrossRefPubMedPubMedCentral
8.
go back to reference Ekelund U, Luan J, Sherar LB, Esliger DW, Griew P, Cooper A, et al. Moderate to vigorous physical activity and sedentary time and cardiometabolic risk factors in children and adolescents. JAMA. 2012;307(7):704–12.CrossRefPubMedPubMedCentral Ekelund U, Luan J, Sherar LB, Esliger DW, Griew P, Cooper A, et al. Moderate to vigorous physical activity and sedentary time and cardiometabolic risk factors in children and adolescents. JAMA. 2012;307(7):704–12.CrossRefPubMedPubMedCentral
9.
go back to reference Ekelund U, Brage S, Froberg K, Harro M, Anderssen SA, Sardinha LB, et al. TV viewing and physical activity are independently associated with metabolic risk in children: the European Youth Heart Study. PLoS Med. 2006;3(12), e488.CrossRefPubMedPubMedCentral Ekelund U, Brage S, Froberg K, Harro M, Anderssen SA, Sardinha LB, et al. TV viewing and physical activity are independently associated with metabolic risk in children: the European Youth Heart Study. PLoS Med. 2006;3(12), e488.CrossRefPubMedPubMedCentral
10.
go back to reference Martinez-Gomez D, Eisenmann JC, Healy GN, Gomez-Martinez S, Diaz LE, Dunstan DW, et al. Sedentary behaviors and emerging cardiometabolic biomarkers in adolescents. J Pediatr. 2012;160(1):104–10. e102.CrossRefPubMed Martinez-Gomez D, Eisenmann JC, Healy GN, Gomez-Martinez S, Diaz LE, Dunstan DW, et al. Sedentary behaviors and emerging cardiometabolic biomarkers in adolescents. J Pediatr. 2012;160(1):104–10. e102.CrossRefPubMed
11.
go back to reference Gortmaker SL, Must A, Sobol AM, Peterson K, Colditz GA, Dietz WH. Television viewing as a cause of increasing obesity among children in the United States, 1986-1990. JAMA Pediatr. 1996;150(4):356–62. Gortmaker SL, Must A, Sobol AM, Peterson K, Colditz GA, Dietz WH. Television viewing as a cause of increasing obesity among children in the United States, 1986-1990. JAMA Pediatr. 1996;150(4):356–62.
12.
go back to reference Robinson TN. Reducing children’s television viewing to prevent obesity: a randomized controlled trial. JAMA. 1999;282(16):1561–7.CrossRefPubMed Robinson TN. Reducing children’s television viewing to prevent obesity: a randomized controlled trial. JAMA. 1999;282(16):1561–7.CrossRefPubMed
13.
go back to reference Dumith SC, Gigante DP, Domingues MR, Kohl HW. Physical activity change during adolescence: a systematic review and a pooled analysis. Int J Epidemiol. 2011;40(3):685–98.CrossRefPubMed Dumith SC, Gigante DP, Domingues MR, Kohl HW. Physical activity change during adolescence: a systematic review and a pooled analysis. Int J Epidemiol. 2011;40(3):685–98.CrossRefPubMed
14.
go back to reference Telama R, Yang X, Leskinen E, Kankaanpää A, Hirvensalo M, Tammelin T, et al. Tracking of physical activity from early childhood through youth into adulthood. Med Sci Sports Exerc. 2014;46(5):955–62.CrossRefPubMed Telama R, Yang X, Leskinen E, Kankaanpää A, Hirvensalo M, Tammelin T, et al. Tracking of physical activity from early childhood through youth into adulthood. Med Sci Sports Exerc. 2014;46(5):955–62.CrossRefPubMed
15.
go back to reference Telama R. Tracking of physical activity from childhood to adulthood: a review. Obes Facts. 2009;2(3):187–95.CrossRefPubMed Telama R. Tracking of physical activity from childhood to adulthood: a review. Obes Facts. 2009;2(3):187–95.CrossRefPubMed
16.
go back to reference Nagin DS, Odgers CL. Group-based trajectory modeling in clinical research. Annu Rev Clin Psychol. 2010;6:109–38.CrossRefPubMed Nagin DS, Odgers CL. Group-based trajectory modeling in clinical research. Annu Rev Clin Psychol. 2010;6:109–38.CrossRefPubMed
17.
go back to reference Kimm SY, Glynn NW, Obarzanek E, Kriska AM, Daniels SR, Barton BA, et al. Relation between the changes in physical activity and body-mass index during adolescence: a multicentre longitudinal study. Lancet. 2005;366(9482):301–7.CrossRefPubMed Kimm SY, Glynn NW, Obarzanek E, Kriska AM, Daniels SR, Barton BA, et al. Relation between the changes in physical activity and body-mass index during adolescence: a multicentre longitudinal study. Lancet. 2005;366(9482):301–7.CrossRefPubMed
18.
go back to reference Kwon S, Janz KF, ICAD Collaboratiors. Tracking of accelerometry-measured physical activity during childhood: ICAD pooled analysis. Int J Behav Nutr Phys Act. 2012;9:68.CrossRefPubMedPubMedCentral Kwon S, Janz KF, ICAD Collaboratiors. Tracking of accelerometry-measured physical activity during childhood: ICAD pooled analysis. Int J Behav Nutr Phys Act. 2012;9:68.CrossRefPubMedPubMedCentral
19.
go back to reference Gordon-Larsen P, Nelson MC, Popkin BM. Longitudinal physical activity and sedentary behavior trends: adolescence to adulthood. Am J Prev Med. 2004;27(4):277–83.CrossRefPubMed Gordon-Larsen P, Nelson MC, Popkin BM. Longitudinal physical activity and sedentary behavior trends: adolescence to adulthood. Am J Prev Med. 2004;27(4):277–83.CrossRefPubMed
20.
go back to reference Nagin D. Group-based modeling of development. Cambridge: MA: Harvard University Press; 2005.CrossRef Nagin D. Group-based modeling of development. Cambridge: MA: Harvard University Press; 2005.CrossRef
21.
go back to reference Jung T, Wickrama K. An introduction to latent class growth analysis and growth mixture modeling. Soc Personal Psychol Compass. 2008;2(1):302–17.CrossRef Jung T, Wickrama K. An introduction to latent class growth analysis and growth mixture modeling. Soc Personal Psychol Compass. 2008;2(1):302–17.CrossRef
22.
go back to reference Duncan TE, Duncan SC. The ABC’s of LGM: an introductory guide to latent variable growth curve modeling. Soc Personal Psychol Compass. 2009;3(6):979–91.CrossRefPubMedPubMedCentral Duncan TE, Duncan SC. The ABC’s of LGM: an introductory guide to latent variable growth curve modeling. Soc Personal Psychol Compass. 2009;3(6):979–91.CrossRefPubMedPubMedCentral
23.
go back to reference Barnett TA, Gauvin L, Craig CL, Katzmarzyk PT. Distinct trajectories of leisure time physical activity and predictors of trajectory class membership: a 22 year cohort study. Int J Behav Nutr Phys Act. 2008;5:57.CrossRefPubMedPubMedCentral Barnett TA, Gauvin L, Craig CL, Katzmarzyk PT. Distinct trajectories of leisure time physical activity and predictors of trajectory class membership: a 22 year cohort study. Int J Behav Nutr Phys Act. 2008;5:57.CrossRefPubMedPubMedCentral
24.
go back to reference Li KK, Cardinal BJ, Acock AC. Concordance of physical activity trajectories among middle-aged and older married couples: impact of diseases and functional difficulties. J Gerontol B Psychol Sci Soc Sci. 2013;68(5):794–806.CrossRefPubMed Li KK, Cardinal BJ, Acock AC. Concordance of physical activity trajectories among middle-aged and older married couples: impact of diseases and functional difficulties. J Gerontol B Psychol Sci Soc Sci. 2013;68(5):794–806.CrossRefPubMed
25.
go back to reference Xue QL, Bandeen-Roche K, Mielenz TJ, Seplaki CL, Szanton SL, Thorpe RJ, et al. Patterns of 12-year change in physical activity levels in community-dwelling older women: can modest levels of physical activity help older women live longer? Am J Epidemiol. 2012;176(6):534–43.CrossRefPubMedPubMedCentral Xue QL, Bandeen-Roche K, Mielenz TJ, Seplaki CL, Szanton SL, Thorpe RJ, et al. Patterns of 12-year change in physical activity levels in community-dwelling older women: can modest levels of physical activity help older women live longer? Am J Epidemiol. 2012;176(6):534–43.CrossRefPubMedPubMedCentral
26.
go back to reference Blanchard CM, McSweeney J, Giacomantonio N, Reid RD, Rhodes RE, Spence JC, et al. Distinct trajectories of light and moderate to vigorous physical activity in heart disease patients: results from the Activity Correlates afTer cardIac hospitalizatiON (ACTION) trial. J Sci Med Sport. 2014;17(1):72–7.CrossRefPubMed Blanchard CM, McSweeney J, Giacomantonio N, Reid RD, Rhodes RE, Spence JC, et al. Distinct trajectories of light and moderate to vigorous physical activity in heart disease patients: results from the Activity Correlates afTer cardIac hospitalizatiON (ACTION) trial. J Sci Med Sport. 2014;17(1):72–7.CrossRefPubMed
27.
go back to reference Janz KF, Letuchy EM, Burns TL, Eichenberger Gilmore JM, Torner JC, Levy SM. Objectively measured physical activity trajectories predict adolescent bone strength: Iowa Bone Development Study. Br J Sports Med. 2014;48(13):1032–6.CrossRefPubMedPubMedCentral Janz KF, Letuchy EM, Burns TL, Eichenberger Gilmore JM, Torner JC, Levy SM. Objectively measured physical activity trajectories predict adolescent bone strength: Iowa Bone Development Study. Br J Sports Med. 2014;48(13):1032–6.CrossRefPubMedPubMedCentral
28.
go back to reference National Heart L and Blood Institute. Obesity and cardiovascular disease risk factors in black and white girls: the NHLBI Growth and Health Study. Am J Public Health. 1992;82(12):1613–20.CrossRef National Heart L and Blood Institute. Obesity and cardiovascular disease risk factors in black and white girls: the NHLBI Growth and Health Study. Am J Public Health. 1992;82(12):1613–20.CrossRef
29.
go back to reference Ku LC, Shapiro LR, Crawford PB, Huenemann RL. Body composition and physical activity in 8-year-old children. Am J Clin Nutr. 1981;34(12):2770–5.PubMed Ku LC, Shapiro LR, Crawford PB, Huenemann RL. Body composition and physical activity in 8-year-old children. Am J Clin Nutr. 1981;34(12):2770–5.PubMed
30.
go back to reference Kimm SY, Glynn NW, Kriska AM, Fitzgerald SL, Aaron DJ, Similo SL, et al. Longitudinal changes in physical activity in a biracial cohort during adolescence. Med Sci Sports Exerc. 2000;32(8):1445–54.CrossRefPubMed Kimm SY, Glynn NW, Kriska AM, Fitzgerald SL, Aaron DJ, Similo SL, et al. Longitudinal changes in physical activity in a biracial cohort during adolescence. Med Sci Sports Exerc. 2000;32(8):1445–54.CrossRefPubMed
31.
go back to reference Mitchell JA, Pate RR, Liese AD. Changes in cardiovascular disease risk factors from age 9 to 19 and the influence of television viewing. Obesity (Silver Spring). 2013;21(2):386–93.CrossRef Mitchell JA, Pate RR, Liese AD. Changes in cardiovascular disease risk factors from age 9 to 19 and the influence of television viewing. Obesity (Silver Spring). 2013;21(2):386–93.CrossRef
33.
go back to reference Nylund KL, Asparouhov T, Muthen BO. Deciding on the number of classess in latent class analysis and growth mixture modeling: a Monte Carlo Simulation Study. Struct Equ Model. 2007;14(4):535–69.CrossRef Nylund KL, Asparouhov T, Muthen BO. Deciding on the number of classess in latent class analysis and growth mixture modeling: a Monte Carlo Simulation Study. Struct Equ Model. 2007;14(4):535–69.CrossRef
34.
go back to reference Roeder K, Lynch K, Nagin D. Modeling uncertainty in latent class membership: a case study in criminology. JASA. 1999;766–776. Roeder K, Lynch K, Nagin D. Modeling uncertainty in latent class membership: a case study in criminology. JASA. 1999;766–776.
36.
go back to reference White J, Jago R. Prospective associations between physical activity and obesity among adolescent girls: racial differences and implications for prevention. Arch Pediatr Adolesc Med. 2012;166(6):522–7.CrossRefPubMed White J, Jago R. Prospective associations between physical activity and obesity among adolescent girls: racial differences and implications for prevention. Arch Pediatr Adolesc Med. 2012;166(6):522–7.CrossRefPubMed
37.
go back to reference Gortmaker SL, Lee R, Cradock AL, Sobol AM, Duncan DT, Wang YC. Disparities in youth physical activity in the United States: 2003-2006. Med Sci Sports Exerc. 2012;44(5):888–93.CrossRefPubMed Gortmaker SL, Lee R, Cradock AL, Sobol AM, Duncan DT, Wang YC. Disparities in youth physical activity in the United States: 2003-2006. Med Sci Sports Exerc. 2012;44(5):888–93.CrossRefPubMed
38.
go back to reference Bauman AE, Reis RS, Sallis JF, Wells JC, Loos RJ, Martin BW, et al. Correlates of physical activity: why are some people physically active and others not? Lancet. 2012;380(9838):258–71.CrossRefPubMed Bauman AE, Reis RS, Sallis JF, Wells JC, Loos RJ, Martin BW, et al. Correlates of physical activity: why are some people physically active and others not? Lancet. 2012;380(9838):258–71.CrossRefPubMed
39.
go back to reference Dietz WH. The role of lifestyle in health: the epidemiology and consequences of inactivity. Proc Nutr Soc. 1996;55(3):829–40.CrossRefPubMed Dietz WH. The role of lifestyle in health: the epidemiology and consequences of inactivity. Proc Nutr Soc. 1996;55(3):829–40.CrossRefPubMed
40.
go back to reference Laursen B, Hoff E. Person-centered and variable-centered approaches to longitudinal data. Merrill Palmer Q. 2006;52(3):377–89.CrossRef Laursen B, Hoff E. Person-centered and variable-centered approaches to longitudinal data. Merrill Palmer Q. 2006;52(3):377–89.CrossRef
41.
go back to reference Saunders JM. Understanding random effects in group-based trajectory modeling: an application of Moffitt’s developmental taxonomy. J Drug Issues. 2010;40(1):195–220.CrossRefPubMedPubMedCentral Saunders JM. Understanding random effects in group-based trajectory modeling: an application of Moffitt’s developmental taxonomy. J Drug Issues. 2010;40(1):195–220.CrossRefPubMedPubMedCentral
42.
go back to reference Basterfield L, Adamson AJ, Frary JK, Parkinson KN, Pearce MS, Reilly JJ, et al. Longitudinal study of physical activity and sedentary behavior in children. Pediatrics. 2011;127(1):e24–30.CrossRefPubMed Basterfield L, Adamson AJ, Frary JK, Parkinson KN, Pearce MS, Reilly JJ, et al. Longitudinal study of physical activity and sedentary behavior in children. Pediatrics. 2011;127(1):e24–30.CrossRefPubMed
Metadata
Title
Developmental trajectories of physical activity and television viewing during adolescence among girls: National Growth and Health Cohort Study
Authors
Soyang Kwon
Jungwha Lee
Mercedes R. Carnethon
Publication date
01-12-2015
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2015
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-015-2043-4

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