Table 2 Meta-analysis of the association between different demographic, macroeconomic, and human development factors and sitting time (third tertile vs. first tertile)
Men | Women | |||||
|---|---|---|---|---|---|---|
OR (95%CI) | % Weight | I2 | OR (95%CI) | % Weight | I2 | |
Total population | ||||||
Overall | 0.94 (0.81–1.08) | 100.00 | 0.0% (p = 0.741) | 0.97 (0.83–1.14) | 100.00 | 0.0% (p = 0.780) |
Argentina | 0.87 (0.72–1.06) | 56.47 | 0.91 (0.71–1.16) | 42.75 | ||
Brazil | 1.05 (0.81–1.35) | 32.90 | 1.07 (0.83–1.38) | 39.27 | ||
Chile | 0.95 (0.59–1.53) | 9.64 | 0.92 (0.62–1.35) | 19.88 | ||
Peru | 1.02 (0.23–4.46) | 0.99 | 1.33 (0.29–6.18) | 1.10 | ||
Population density | ||||||
Overall | 1.04 (0.85–1.29) | 100.00 | 34.5% (p = 0.205) | 1.10 (0.94–1.28) | 100.00 | 0.0% (p = 0.413) |
Argentina | 1.02 (0.85–1.23) | 47.16 | 1.12 (0.89–1.42) | 44.70 | ||
Brazil | 1.20 (0.94–1.52) | 38.01 | 1.18 (0.92–1.50) | 41.38 | ||
Chile | 0.90 (0.54–1.52) | 13.12 | 0.88 (0.57–1.36) | 13.02 | ||
Peru | 0.26 (0.05–1.24) | 1.71 | 0.39 (0.07–2.01) | 0.90 | ||
Gross Domestic Product | ||||||
Overall | 1.09 (0.94–1.25) | 100.00 | 0.0% (p = 0.392) | 0.99 (0.84–1.17) | 100.00 | 2.8% (p = 0.378) |
Argentina | 1.19 (0.99–1.44) | 59.29 | 1.18 (0.91–1.53) | 40.13 | ||
Brazil | 0.95 (0.73–1.22) | 31.40 | 0.86 (0.67–1.11) | 42.26 | ||
Chile | 1.00 (0.61–1.63) | 8.44 | 0.95 (0.63–1.43) | 16.39 | ||
Peru | 0.57 (0.12–2.58) | 0.88 | 0.80 (0.17–3.70) | 1.22 | ||
Human Development Pruduct | ||||||
Overall | 1.00 (0.85–1.18) | 100.00 | 0.0% (p = 0.841) | 0.94 (0.77–1.14) | 100.00 | 15.2% (p = 0.316) |
Argentina | 1.08 (0.85–1.36) | 48.51 | 1.18 (0.88–1.57) | 34.78 | ||
Brazil | 0.92 (0.70–1.19) | 38.56 | 0.82 (0.64–1.06) | 41.99 | ||
Chile | 0.99 (0.62–1.60) | 11.79 | 0.85 (0.58–1.26) | 21.70 | ||
Peru | 0.87 (0.19–4.05) | 1.13 | 0.95 (0.20–4.55) | 1.53 | ||