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

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

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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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Fig. 1 Flowchart reporting the process for selection of papers for inclusion in the meta-analysis. SB sedentary behavior, SES socioeconomic statusCC BY · PubMed Central

Fig. 2 General meta-analysis of the association between socioeconomic status and sedentary behavior. AI assets index, CI confidence interval, ES effect size, FE paternal education, FO paternal occupation, I income, ME maternal education, MO maternal occupation, PC computer, PE parental education, PO parental occupation, SB sedentary behavior, SES socioeconomic status, TV television, VG video game. TV + indicates estimates based on studies that measure sedentary behavior as: a TV + VG or b TV + PCCC BY · PubMed Central

Fig. 3 Meta-analysis of the association between socioeconomic status and high screen-based time. AI assets index, CI confidence interval, ES effect size, FE paternal education, I income, ME maternal education, PE parental education, PO parental occupation, SB sedentary behavior, SES socioeconomic statusCC BY · PubMed Central

Fig. 4 Meta-analysis of the association between SES and high television viewing time. AI assets index, CI confidence interval, ES effect size, FE paternal education, FO paternal occupation, I income, ME Maternal education, MO maternal occupation, PE parental education, PO parental occupation, SB sedentary behavior, SES socioeconomic statusCC BY · PubMed Central

Fig. 5 Meta-analysis of the association between socioeconomic status and other sedentary behavior domains (computer, video game, study time, but not including TV time). AI assets index, CI confidence interval, ES effect size, FE paternal education, FO paternal occupation, I income, ME maternal education, MO maternal occupation, PC computer, PE parental education, SB sedentary behavior, SES socioeconomic status, VG video gameCC BY · PubMed Central

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Sedentary behavior
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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: Brown, Wendy J.
Nunes, Bruno P.
Hallal, Pedro C.
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
FWCI: 1.21
Type: journal article
Language: en
Open access: hybrid
doi.org
Licence: cc-by
creativecommons.org/licenses/by/4.0 (unspecified)
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 › Public Health, Environmental and Occupational Health › 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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Socioeconomic Correlates of Sedentary Behavior in Adolescents: Systematic Review and Meta-Analysis

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