Skip to main content
Key Specialties
Cardiology Diabetology Endocrinology Gastroenterology Geriatrics and Gerontology Gynecology and Obstetrics Hematology Infectious Disease Internal Medicine Nephrology Neurology Oncology Pediatrics Respiratory Medicine Rheumatology Surgery
Congress Coverage
2024 ACC Congress 2023 ESMO Congress 2023 EASD Congress 2023 ERS Congress 2023 ESC Congress
Clinical Collections
Advances in Alzheimer’s

Keynote webinar | Spotlight on medication adherence

LIVE: Thursday 27th June 2024, 18:00-19:30 (CEST)
Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.
ADVANCED SEARCH
Log in
Top
Sports Medicine
Published in: Sports Medicine 1/2017

Open Access 01-01-2017 | Systematic Review

Socioeconomic Correlates of Sedentary Behavior in Adolescents: Systematic Review and Meta-Analysis

Authors: Gregore I. Mielke, Wendy J. Brown, Bruno P. Nunes, Inacio C. M. Silva, Pedro C. Hallal

Published in: Sports Medicine | Issue 1/2017

Login to get access

Abstract

Background

The body of evidence on associations between socioeconomic status (SES) and sedentary behaviors in adolescents is growing.

Objectives

The overall aims of our study were to conduct a systematic review and meta-analysis of this evidence and to assess whether (1) the associations between SES and sedentary behavior are consistent in adolescents from low-middle-income and from high-income countries, (2) the associations vary by domain of sedentary behavior, and (3) the associations vary by SES measure.

Methods

We performed a systematic literature search to identify population-based studies that investigated the association between SES and sedentary behavior in adolescents (aged 10–19 years). Only studies that presented risk estimates were included. We conducted meta-analyses using random effects and univariate meta-regression and calculated pooled effect sizes (ES).

Results

Data from 39 studies were included; this provided 106 independent estimates for meta-analyses. Overall, there was an inverse association between SES and sedentary behavior (ES 0.89; 95 % confidence interval [CI] 0.81–0.98). However, the direction of the association varied: in high-income countries, SES was inversely associated with sedentary behavior (ES 0.67; 95 % CI 0.62–0.73), whereas in low-middle-income countries, there was a positive association between SES and sedentary behavior (ES 1.18; 95 % CI 1.04–1.34). In high-income countries, the associations were strongest for screen time (ES 0.68; 95 % CI 0.62–0.74) and television (TV) time (ES 0.58; 95 % CI 0.49–0.69), whereas in low-middle-income countries, the associations were strongest for ‘other’ screen time (i.e., computer, video, study time, but not including TV time) (ES 1.38; 95 % CI 1.07–1.79). All indicators of SES were negatively associated with sedentary behavior in high-income countries, but only resources (income and assets indexes) showed a significant positive association in low-middle-income countries.

Conclusion

The associations between SES and sedentary behavior are different in high- and low-middle-income countries, and vary by domain of sedentary behavior. These findings suggest that different approaches may be required when developing intervention strategies for reducing sedentary behavior in adolescents in different parts of the world.
Appendix
Available only for authorised users
Literature
1.
Brown WJ, Bauman AE, Owen N. Stand up, sit down, keep moving: turning circles in physical activity research? Br J Sports Med. 2009;43(2):86–8.PubMedCrossRef
2.
Network Sedentary Behaviour Research. Standardized use of the terms “sedentary” and “sedentary behaviours”. Appl Physiol Nutr Metab. 2012;37:540–2.CrossRef
3.
Owen N, Leslie E, Salmon J, et al. Environmental determinants of physical activity and sedentary behavior. Exerc Sport Sci Rev. 2000;28(4):153–8.PubMed
4.
Van Der Horst K, Paw MJAC, Twisk JW, et al. A brief review on correlates of physical activity and sedentariness in youth. Med Sci Sports Exerc. 2007;39(8):1241–50.CrossRef
5.
Pate RR, Mitchell JA, Byun W, et al. Sedentary behaviour in youth. Br J Sports Med. 2011;45(11):906–13.PubMedCrossRef
6.
Gorely T, Marshall SJ, Biddle SJ. Couch kids: correlates of television viewing among youth. Int J Behav Med. 2004;11(3):152–63.PubMedCrossRef
7.
Muthuri SK, Wachira LJ, Leblanc AG, et al. Temporal trends and correlates of physical activity, sedentary behaviour, and physical fitness among school-aged children in Sub-Saharan Africa: a systematic review. Int J Environ Res Public Health. 2014;11(3):3327–59.PubMedPubMedCentralCrossRef
8.
Atkin AJ, Sharp SJ, Corder K, et al. Prevalence and correlates of screen time in youth: an international perspective. Am J Prev Med. 2014;47(6):803–7.PubMedCrossRef
9.
Hallal PC, Knuth AG, Cruz DK, et al. Physical activity practice among Brazilian adolescents. Cien Saude Colet. 2010;15(Suppl 2):3035–42.PubMedCrossRef
10.
Dumith SC, Hallal PC, Menezes AM, et al. Sedentary behavior in adolescents: the 11-year follow-up of the 1993 Pelotas (Brazil) birth cohort study. Cad Saude Publica. 2010;26(10):1928–36.PubMedCrossRef
11.
Foltz JL, Cook SR, Szilagyi PG, et al. US adolescent nutrition, exercise, and screen time baseline levels prior to national recommendations. Clin Pediatr. 2011;50(5):424–33.CrossRef
12.
Salmon J, Timperio A, Telford A, et al. Association of family environment with children’s television viewing and with low level of physical activity. Obes Res. 2005;13(11):1939–51.PubMedCrossRef
13.
Braveman PA, Cubbin C, Egerter S, et al. Socioeconomic status in health research: one size does not fit all. JAMA. 2005;294(22):2879–88.PubMedCrossRef
14.
15.
Fernandez-Alvira JM, Te Velde SJ, Singh A, et al. Parental modeling, education and children’s sports and TV time: the ENERGY-project. Prev Med. 2015;70:96–101.PubMedCrossRef
16.
Hesketh K, Ball K, Crawford D, et al. Mediators of the relationship between maternal education and children’s TV viewing. Am J Prev Med. 2007;33(1):41–7.PubMedCrossRef
17.
WHO, World Health Organization. Young People’s Health—a Challenge for Society. Report of a WHO Study Group on Young People and Health for All. Technical Report Series 731. Geneva: WHO, 1986.
18.
19.
Brazilian Institute of Geography and Statistics. Resultados gerais da amostra do Censo Demografico 2010. Rio de Janeiro: Brazilian Institute of Geography and Statistics; 2012.
20.
Barbosa Filho VC, de Campos W, Bozza R, et al. The prevalence and correlates of behavioral risk factors for cardiovascular health among Southern Brazil adolescents: a cross-sectional study. BMC Pediatrics. 2012;12:130.PubMedPubMedCentralCrossRef
21.
Silva DA, Tremblay MS, Goncalves EC, et al. Television time among Brazilian adolescents: correlated factors are different between boys and girls. Sci World J. 2014;2014:794539.
22.
Smith BJ, Grunseit A, Hardy LL, et al. Parental influences on child physical activity and screen viewing time: a population based study. BMC Public Health. 2010;10:593.PubMedPubMedCentralCrossRef
23.
Rey-Lopez JP, Tomas C, Vicente-Rodriguez G, et al. Sedentary behaviours and socio-economic status in Spanish adolescents: the AVENA study. Eur J Public Health. 2011;21(2):151–7.PubMedCrossRef
24.
Shi Z, Lien N, Kumar BN, et al. Physical activity and associated socio-demographic factors among school adolescents in Jiangsu Province, China. Prev Med. 2006;43(3):218–21.PubMedCrossRef
25.
Al Sabbah H, Vereecken C, Kolsteren P, et al. Food habits and physical activity patterns among Palestinian adolescents: findings from the national study of Palestinian schoolchildren (HBSC-WBG2004). Public Health Nutr. 2007;10(7):739–46.PubMedCrossRef
26.
American Academy of Pediatrics. Committee on Public Education. American Academy of pediatrics: children, adolescents, and television. Pediatrics. 2001;107(2):423–6.CrossRef
27.
Hardy LL, Baur LA, Garnett SP, et al. Family and home correlates of television viewing in 12–13 year old adolescents: the Nepean Study. Int J Behav Nutr Phys Act. 2006;3:24.PubMedPubMedCentralCrossRef
28.
Kipping RR, Smith M, Heron J, et al. Multiple risk behaviour in adolescence and socio-economic status: findings from a UK birth cohort. Eur J Public Health. 2015;25(1):44–9.PubMedCrossRef
29.
Camelo LV, de Castro Rodrigues JF, Giatti L, et al. Sedentary leisure time and food consumption among Brazilian adolescents: the Brazilian National School-Based Adolescent Health Survey (PeNSE), 2009. Cad Saude Publica. 2012;28(11):2155–62.PubMedCrossRef
30.
Carlson SA, Fulton JE, Lee SM, et al. Influence of limit-setting and participation in physical activity on youth screen time. Pediatrics. 2010;126(1):e89–96.PubMedCrossRef
31.
Cui Z, Hardy LL, Dibley MJ, et al. Temporal trends and recent correlates in sedentary behaviours in Chinese children. Int J Behav Nutr Phys Act. 2011;8:93.PubMedPubMedCentralCrossRef
32.
da Silva KS, Nahas MV, Peres KG, et al. Factors associated with physical activity, sedentary behavior, and participation in physical education among high school students in Santa Catarina State, Brazil. Cad Saude Publica. 2009;25(10):2187–200.PubMedCrossRef
33.
Dias PJ, Domingos IP, Ferreira MG, et al. Prevalence and factors associated with sedentary behavior in adolescents. Rev Saude Publica. 2014;48(2):266–74.PubMedPubMedCentralCrossRef
34.
Fernandes RA, Junior IF, Cardoso JR, et al. Association between regular participation in sports and leisure time behaviors in Brazilian adolescents: a cross-sectional study. BMC Public Health. 2008;8:329.PubMedPubMedCentralCrossRef
35.
Gordon-Larsen P, McMurray RG, Popkin BM. Determinants of adolescent physical activity and inactivity patterns. Pediatrics. 2000;105(6):E83.PubMedCrossRef
36.
Hardy LL, Dobbins TA, Denney-Wilson EA, et al. Descriptive epidemiology of small screen recreation among Australian adolescents. J Paediatr Child Health. 2006;42(11):709–14.PubMedCrossRef
37.
38.
Kantomaa MT, Tammelin TH, Näyhä S, et al. Adolescents’ physical activity in relation to family income and parents’ education. Prev Med. 2007;44(5):410–5.PubMedCrossRef
39.
Kiatrungrit K, Hongsanguansri S. Cross-sectional study of use of electronic media by secondary school students in Bangkok, Thailand. Shanghai Arch Psychiatry. 2014;26(4):216–26.PubMedPubMedCentral
40.
Kim J, Liu J, Colabianchi N, et al. The effect of perceived and structural neighborhood conditions on adolescents’ physical activity and sedentary behaviors. Arch Pediatr Adolesc Med. 2010;164(10):935–42.PubMedPubMedCentralCrossRef
41.
Kristiansen H, Juliusson PB, Eide GE, et al. TV viewing and obesity among Norwegian children: the importance of parental education. Acta Paediatr. 2013;102(2):199–205.PubMedCrossRef
42.
Lioret S, Maire B, Volatier JL, et al. Child overweight in France and its relationship with physical activity, sedentary behaviour and socioeconomic status. Eur J Clin Nutr. 2007;61(4):509–16.PubMed
43.
Mutunga M, Gallagher AM, Boreham C, et al. Socioeconomic differences in risk factors for obesity in adolescents in Northern Ireland. Int J Pediatr Obes. 2006;1(2):114–9.PubMedCrossRef
44.
Norman GJ, Schmid BA, Sallis JF, et al. Psychosocial and environmental correlates of adolescent sedentary behaviors. Pediatrics. 2005;116(4):908–16.PubMedCrossRef
45.
Ogunleye AA, Voss C, Sandercock GR. Prevalence of high screen time in English youth: association with deprivation and physical activity. J Public Health (Oxf). 2012;34(1):46–53.CrossRef
46.
Øverby NC, Klepp K-I, Bere E. Changes in screen time activity in Norwegian children from 2001 to 2008: two cross sectional studies. BMC Public Health. 2013;13(1):1–7.CrossRef
47.
Patriarca A, Di Giuseppe G, Albano L, et al. Use of television, videogames, and computer among children and adolescents in Italy. BMC Public Health. 2009;9:1–10.CrossRef
48.
Rivera IR, Silva MA, Silva RD, et al. Physical inactivity, TV-watching hours and body composition in children and adolescents. Arq Bras Cardiol. 2010;95(2):159–65.PubMedCrossRef
49.
Silva KS, da Silva Lopes A, Dumith SC, et al. 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.PubMedCrossRef
50.
Singh GK, Yu SM, Siahpush M, et al. High levels of physical inactivity and sedentary behaviors among US immigrant children and adolescents. Arch Pediatr Adolesc Med. 2008;162(8):756–63.PubMedCrossRef
51.
Sisson SB, Broyles ST, Baker BL, et al. Television, reading, and computer time: correlates of school-day leisure-time sedentary behavior and relationship with overweight in children in the U.S. J Phys Act Health. 2011;8(Suppl 2):S188–97.PubMedCrossRef
52.
Sisson SB, Broyles ST. Social-ecological correlates of excessive TV viewing: difference by race and sex. J Phys Act Health. 2012;9(3):449–55.PubMedCrossRef
53.
Tenorio MC, Barros MV, Tassitano RM, et al. Physical activity and sedentary behavior among adolescent high school students. Rev Bras Epidemiol. 2010;13(1):105–17.PubMedCrossRef
54.
Wells JC, Hallal PC, Reichert FF, et al. Sleep patterns and television viewing in relation to obesity and blood pressure: evidence from an adolescent Brazilian birth cohort. Int J Obes (Lond). 2008;32(7):1042–9.CrossRef
Metadata
Title
Socioeconomic Correlates of Sedentary Behavior in Adolescents: Systematic Review and Meta-Analysis
Authors
Gregore I. Mielke
Wendy J. Brown
Bruno P. Nunes
Inacio C. M. Silva
Pedro C. Hallal
Publication date
01-01-2017
Publisher
Springer International Publishing
Published in
Sports Medicine / Issue 1/2017
Print ISSN: 0112-1642
Electronic ISSN: 1179-2035
DOI
https://doi.org/10.1007/s40279-016-0555-4

Other articles of this Issue 1/2017

Sports Medicine 1/2017 Go to the issue

Systematic Review

Minimal Evidence for a Secondary Loss of Strength After an Acute Muscle Injury: A Systematic Review and Meta-Analysis

Systematic Review

Definitions, Foundations and Associations of Physical Literacy: A Systematic Review

Original Research Article

Combined Oral Contraceptives Increase High-Sensitivity C-Reactive Protein but Not Haptoglobin in Female Athletes

Systematic Review

Creatine Supplementation and Upper Limb Strength Performance: A Systematic Review and Meta-Analysis

Systematic Review

Effectiveness of Exercise Interventions to Improve Postural Control in Older Adults: A Systematic Review and Meta-Analyses of Centre of Pressure Measurements

Leading Article

Current Approaches to Tactical Performance Analyses in Soccer Using Position Data