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Cited by 158Physical Activity and HealthObesity, Physical Activity, DietHealth disparities and outcomes

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

Open access
Mielke, Gregore I., Brown, Wendy J., Nunes, Bruno P., Silva, Inacio C. M., Hallal, Pedro C.·2017·Sports Medicine
DOI 10.1007/s40279-016-0555-4PMC PMC5215067
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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.

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  • This may be particularly important for children and adolescents from low socioeconomic backgrounds, who typically engage in greater amounts of screen time and are also less likely to live in green neighbourhoods.

    “This may be particularly important for children and adolescents from low socioeconomic backgrounds, who typically engage in greater amounts of ST [48–51] and are also less likely to live in green neighbourhoods [52].”

    From Psychological impacts of “screen time” and “green time” for children and adolescents: A systematic scoping review (2020) · cites this paper as [51]

    The Key Points and Discussion report that adolescents from lower-SES backgrounds in high-income countries have more screen and TV time. The citing sentence presents this as typical of children and adolescents generally, but the paper finds a different pattern in low-middle-income countries and focuses on adolescents. The green-neighbourhood claim is attached to a different citation, not this source. (LLM, conf=0.88)

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1 of the 60 references couldn’t be matched to a known paper.

Research works printed but not linked: 7

  1. [2]Network Sedentary Behaviour Research Standardized use of the terms “sedentary” and “sedentary behaviours” Appl Physiol Nutr Metab. 2012 37 540 542 22540258
  2. [9]Hallal PC Knuth AG Cruz DK Physical activity practice among Brazilian adolescents Cien Saude Colet. 2010 15 Suppl 2 3035 3042 21049144
  3. [29]Camelo LV de Castro Rodrigues JF Giatti L 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 2162 23147957
  4. [32]da Silva KS Nahas MV Peres KG 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 2200 19851619
  5. [33]Dias PJ Domingos IP Ferreira MG Prevalence and factors associated with sedentary behavior in adolescents Rev Saude Publica. 2014 48 2 266 274 24897048 PMC4206135
  6. [48]Rivera IR Silva MA Silva RD Physical inactivity, TV-watching hours and body composition in children and adolescents Arq Bras Cardiol. 2010 95 2 159 165 20563518
  7. [53]Tenorio MC Barros MV Tassitano RM Physical activity and sedentary behavior among adolescent high school students Rev Bras Epidemiol. 2010 13 1 105 117 20683559

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Authors
Mielke, G. I., Brown, W. J., Nunes, B. P., Silva, I. C. M., & Hallal, P. C.
Affiliations
  • The University of Queensland (AU)
  • Universidade Federal de Pelotas (BR)
ORCID
Venue
Sports Medicine
Publisher
Springer Science and Business Media LLC
Published
2016-06-03
Volume
47
Issue
1
Pages
61-75
ISSN
  • 0112-1642 (ISSN-L)
  • 1179-2035
DOI
10.1007/s40279-016-0555-4
PMC
PMC5215067
OpenAlex
W2412267073
Cited by
158
References
60
Citations by year
2026: 11 · 2025: 19 · 2024: 17 · 2023: 14 · 2022: 23 · 2021: 23 · 2020: 19 · 2019: 9 · 2018: 7 · 2017: 15 · 2014: 1
FWCI
1.21
Type
journal article
Language
en
Open access
Licence
Locations
  • Sports Medicine (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
  • Universidade Federal de Pelotas
  • Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Topics
  • Health Sciences › Medicine › Physiology › Physical Activity and Health
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
  • Social Sciences › Health › Health disparities and outcomes
Keywords
sedentary behavior, socioeconomic status, adolescents, screen time, television viewing, low-middle income countries, high-income countries, socioeconomic inequalities in health, physical activity, intervention strategies, educational attainment, parental education, parental income, household income, household assets, urban-rural residence, sex differences, age differences
MeSH terms
Adolescent, Computers, Humans, Income, Social Class, Socioeconomic Factors, Television, Sedentary Behavior

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