Table 1.
Characteristics of variables in the study. ISA-Capital 2003–2015, São Paulo city, Brazil.
| Variables | Categories | μ | SE | Min | Max | N |
|---|---|---|---|---|---|---|
| Outcome variables | ||||||
| Hospitalization | ||||||
| Public sector | (1 = yes) | 0.03 | 0.00 | 0 | 1 | 7366 |
| Private sector | (1 = yes) | 0.04 | 0.00 | 0 | 1 | 7366 |
| Hospitalization costs | ||||||
| Public sector | ($PPP) | 2529.32 | 594.60 | 35.56 | 55152.22 | 7366 |
| Private sector | ($PPP) | 2516.82 | 132.02 | 84.38 | 12813.65 | 7366 |
| Independent variables | ||||||
| Leisure-time PA | (1 = yes) | 0.23 | 0.01 | 0 | 1 | 7366 |
| Time spent in sitting position (ref. = lower tertile) | (1 = middle tertile) | 0.31 | 0.01 | 0 | 1 | 7366 |
| (1 = upper tertile) | 0.32 | 0.01 | 0 | 1 | 7366 | |
| Obesity | (1 = yes) | 0.15 | 0.01 | 0 | 1 | 7366 |
| Control variables | ||||||
| Sex | (1 = female) | 0.52 | 0.01 | 0 | 1 | 7366 |
| Age | (years, continuous) | 38.93 | 0.30 | 12 | 101 | 7366 |
| Skin color/ethnicity | (1 = white) | 0.59 | 0.01 | 0 | 1 | 7366 |
| Marital status | (1 = accompanied) | 0.51 | 0.01 | 0 | 1 | 7366 |
| Education | (years, continuous) | 9.89 | 0.10 | 0 | 16 | 7366 |
| Occupational status | (1 = employed) | 0.62 | 0.01 | 0 | 1 | 7366 |
| Income per capita | ($PPP) | 871.78 | 39.97 | 0.91 | 18294.86 | 7366 |
| Health insurance | (1 = yes) | 0.36 | 0.01 | 0 | 1 | 7366 |
| Tobacco use | (1 = yes) | 0.33 | 0.01 | 0 | 1 | 7366 |
| Hypertension | (1 = yes) | 0.18 | 0.01 | 0 | 1 | 7366 |
| Diabetes | (1 = yes) | 0.06 | 0.00 | 0 | 1 | 7366 |
| Cardiovascular diseases | (1 = yes) | 0.05 | 0.00 | 0 | 1 | 7366 |
| Year of survey | (2003; 2008; 2015) | 2009.11 | 0.14 | 2003 | 2008 | 7366 |
μ = weighted mean; SE = standard error; Min = minimum; Max = maximum; N = total observations. $PPP = purchase power parity; PA = leisure time physical activity.