Extended Data Figure 3: Activity inequality remains a strong predictor of obesity levels across countries when reweighting the sample based on officially reported gender distributions and when stratifying by gender or age.
From: Large-scale physical activity data reveal worldwide activity inequality
a, Obesity versus activity inequality on a country level where subjects are reweighted to accurately reflect the official gender distribution in each country (LOESS fit; Methods). The gender-unbiased estimates are very similar to estimates using all data (r = 0.953 for activity inequality and r = 0.986 for obesity). b, Obesity versus activity inequality on a country level for males and females. Activity inequality predicts obesity for both genders (LOESS fit). c, Obesity versus activity inequality on a country level across different age groups. We find that associations between activity inequality and obesity persist within every age group (LOESS fits). These results indicate that our main result—activity inequality predicts obesity—is independent of any potential gender and age bias in our sample.
