This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow P3Rs: Submit a response
Right arrow P3Rs: View responses
Right arrow Alert me when this article is cited
Right arrow Alert me when P3Rs are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow E-mail this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My File Cabinet
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via CrossRef
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Gordon-Larsen, P.
Right arrow Articles by Popkin, B. M.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Gordon-Larsen, P.
Right arrow Articles by Popkin, B. M.
Related Collections
Right arrow Adolescent Medicine

PEDIATRICS Vol. 105 No. 6 June 2000, p. e83

ELECTRONIC ARTICLE:
Determinants of Adolescent Physical Activity and Inactivity Patterns

Received Sep 14, 1999; accepted Jan 12, 2000.

Penny Gordon-Larsen*, Robert G. McMurrayDagger , and Barry M. Popkin*, §

From the * Carolina Population Center, Dagger  Department of Exercise Physiology, and § Department of Nutrition, School of Public Health, University of North Carolina, Chapel Hill, North Carolina.

Objectives.  Despite recognition of the important influence of environmental determinants on physical activity patterns, minimal empirical research has been done to assess the impact of environmental/contextual determinants of physical activity. This article aims to investigate environmental and sociodemographic determinants of physical activity and inactivity patterns among subpopulations of US adolescents. We define environmental determinants as modifiable factors in the physical environment that impose a direct influence on the opportunity to engage in physical activity. The present research examines environmental and sociodemographic determinants of physical activity and inactivity with the implication that these findings can point toward societal-level intervention strategies for increasing physical activity and decreasing inactivity among adolescents.

Study Design and Methodology.  The study population consists of nationally representative data from the 1996 National Longitudinal Study of Adolescent Health on 17 766 US adolescents enrolled in US middle and high schools (including 3933 non-Hispanic blacks, 3148 Hispanics, and 1337 Asians). Hours/week of inactivity (TV/video viewing and video/computer games) and times/week of moderate to vigorous physical activity were collected by questionnaire. Outcome variables were moderate to vigorous physical activity and inactivity, which were broken into categories (physical activity: 0-2 times/week, 3-4 times/week, and >= 5 times/week; inactivity: 0-10 hours/week, 11-24 hours/week, and >= 25 hours/week). Sociodemographic and environmental correlates of physical activity and inactivity were used as exposure and control variables and included sex, age, urban residence, participation in school physical education program, use of community recreation center, total reported incidents of serious crime in neighborhood, socioeconomic status, ethnicity, generation of residence in the United States, presence of mother/father in household, pregnancy status, work status, in-school status, region, and month of interview. Logistic regression models of high versus low and medium physical activity and inactivity were used to investigate sex and ethnic interactions in relation to environmental and sociodemographic factors to examine evidence for the potential impact of physical education and recreation programs and sociodemographic factors on physical activity and inactivity patterns.

Results.  Moderate to vigorous physical activity was lower and inactivity higher for non-Hispanic black and Hispanic adolescents. Participation in school physical education programs was considerably low for these adolescents and decreased with age. Participation in daily school physical education (PE) program classes (adjusted odds ratio [AOR]: 2.21; confidence interval [CI]: 1.82-2.68) and use of a community recreation center (AOR: 1.75; CI: 1.56-1.96) were associated with an increased likelihood of engaging in high level moderate to vigorous physical activity. Maternal education was inversely associated with high inactivity patterns; for example, having a mother with a graduate or professional degree was associated with an AOR of .61 (CI: .48-.76) for high inactivity. High family income was associated with increased moderate to vigorous physical activity (AOR: 1.43; CI: 1.22-1.67) and decreased inactivity (AOR: .70; CI: .59-.82). High neighborhood serious crime level was associated with a decreased likelihood of falling in the highest category of moderate to vigorous physical activity (AOR: .77; CI: .66-.91).

Conclusions.  These results show important associations between modifiable environmental factors, such as participation in school PE and community recreation programs, with activity patterns of adolescents. Despite the marked and significant impact of participation in school PE programs on physical activity patterns of US adolescents, few adolescents participated in such school PE programs; only 21.3% of all adolescents participated in 1 or more days per week of PE in their schools. In addition to the more readily modifiable factors, high crime level was significantly associated with a decrease in weekly moderate to vigorous physical activity. The key modifiable factors that had an impact on physical activity did not affect inactivity. Thus, it is clear that physical activity and inactivity were associated with very different determinants. Although physical activity was most associated with environmental factors, inactivity was most associated with sociodemographic factors.The data presented here confirm what researchers and pediatricians have known intuitively; however, these relationships have not been tested empirically, nor have they been studied in any nationally representative survey of US school-aged children. These findings show that patterns in inactivity cannot be explained using the environmental factors studied here and, thus, it is clearly important that researchers search for other environmental determinants likely to impact inactivity. National-level strategies must include attention to school PE and community recreation programs, particularly for segments of the US population without access to resources and opportunities that allow participation in physical activity. Research to measure and explore the effects of other environmental determinants of activity and to ascertain whether there are any environmental determinants of inactivity are important future research directions. physical education, community recreation center, US adolescents, crime, socioeconomic factors, National Longitudinal Study of Adolescent Health. .




This article has been cited by other articles:


Home page
CLIN PEDIATRHome page
S. B. Gesell, E. B. Reynolds, E. H. Ip, L. C. Fenlason, S. J. Pont, E. K. Poe, and S. L. Barkin
Social Influences on Self-Reported Physical Activity in Overweight Latino Children
Clinical Pediatrics, October 1, 2008; 47(8): 797 - 802.
[Abstract] [PDF]


Home page
Scand J Public HealthHome page
T. Limstrand and N. J. Rehrer
Young people's use of sports facilities: A Norwegian study on physical activity
Scand J Public Health, July 1, 2008; 36(5): 452 - 459.
[Abstract] [PDF]


Home page
Arch Pediatr Adolesc MedHome page
R. R. Pate, J. Stevens, C. Pratt, J. F. Sallis, K. H. Schmitz, L. S. Webber, G. Welk, and D. R. Young
Objectively Measured Physical Activity in Sixth-Grade Girls
Arch Pediatr Adolesc Med, December 1, 2006; 160(12): 1262 - 1268.
[Abstract] [Full Text] [PDF]


Home page
AAP Grand RoundsHome page
L. M. Grant
Walking to School: Effect on Daily Physical Activity Level
AAP Grand Rounds, March 1, 2006; 15(3): 33 - 33.
[Full Text] [PDF]


Home page
Health Educ BehavHome page
R. P. Saunders and J. Moody
Community Agency Survey Formative Research Results From the TAAG Study
Health Educ Behav, February 1, 2006; 33(1): 12 - 24.
[Abstract] [PDF]


Home page
Arch. Dis. Child.Home page
J Kuepper-Nybelen, A Lamerz, N Bruning, J Hebebrand, B Herpertz-Dahlmann, and H Brenner
Major differences in prevalence of overweight according to nationality in preschool children living in Germany: determinants and public health implications
Arch. Dis. Child., April 1, 2005; 90(4): 359 - 363.
[Abstract] [Full Text] [PDF]


Home page
Inj. Prev.Home page
S W Marshall and K M Guskiewicz
Sports and recreational injury: the hidden cost of a healthy lifestyle
Inj. Prev., June 1, 2003; 9(2): 100 - 102.
[Full Text]

P3Rs:

Read all P3Rs

Toward Increasing School PE
Helaine G Levine
Pediatrics Online, 5 Jul 2000 [Full text]
none
Tamara Brown
Pediatrics Online, 14 Mar 2001 [Full text]