Table 2.
Multiple linear regression models for a 30-minute/day increase in physical activity predicting 6-year weight change after intentional weight lossamong 4,558 women.
| All women | BMI<25 | BMI≥25 | |
|---|---|---|---|
| TOTAL | β (95%CI)b (kg) | β (95%CI)c (kg) | β (95%CI)c (kg) |
| Total discretionary activity (min/d) | −1.36 (−1.61, −1.12) | −1.01 (−1.24, −0.78) | −2.45 (−3.12, −1.78) |
| TV watching (min/d) | 0.45 (0.34, 0.56) | 0.30 (0.19, 0.41) | 0.62 (0.39, 0.85) |
| Partition modela | |||
| Brisk walking | −1.69 (−2.15, −1.22) | −1.19 (−1.61, −0.77) | −3.74 (−5.17, −2.31) |
| Non-brisk walking | −0.54 (−1.07, −0.02) | −0.02 (−0.54, 0.50) | −1.61 (−2.82, −0.40) |
| Jogging/Running | −3.26 (−4.41, −2.10) | −2.69 (−3.67, −1.70) | −6.66 (−11.30, −2.01) |
| Other activities | −1.26 (−1.65, −0.87) | −1.00 (−1.35, −0.64) | −2.08 (−3.17, −0.98) |
| TV watching | 0.45 (0.35, 0.56) | 0.30 (0.19, 0.41) | 0.62 (0.38, 0.85) |
Total discretionary activity partitioned among brisk walking; non-brisk walking; jogging + running; and other activities (biking, swimming, mowing, aerobics, tennis, and stair climbing). Each regression coefficient (95% CI) represents a comparison of weight regain (in kg) for every 30 min/day increase in the predictor variable;
All models are adjusted for baseline (1991) age (years), weight (1991) (kg), height (1991) (m), total average alcohol intake (1991; 1995), (0; >0-<2.5; 2.5–5; >5–10; >10 g/day); sugar-sweetened beverage intake (1991, 1995), (0; >0–0.5; >0.5–1; >1 servings/day); energy-adjusted trans-fat (1991, 1995), (≤2.5; >2.5–3; >3–4; >4 g/day); energy-adjusted fibers (1991–1995) (5–15; >15–20; >20–25; >25 g/day); oral contraceptive use (1997) (never; current; past), smoking (1989; 1997) (never; past: 0–7 pack years; past: 8+ pack years; current: >0–19 pack years; current: 20+ pack years), parity (1997) (never given birth; one birth; two births; 3+ births), anti-depressant intake (1997) (never; current; past), and hours of TV watching (1991, 1997). (maintain low level; maintain high level; increase TV watching hours; decrease TV watching hours).
All models are adjusted for the same covariates above except for baseline height.