Table 3.
Associations between stress measures and selected dietary and physical activity variables.a
| Variable | Parameter (β) estimates | P stress | P cortisol | P insulin | |
|---|---|---|---|---|---|
| Stressb | Cortisolc | Insulind | |||
| Energy (kcal/day) | – | – | ns | ns | ns |
| Carbohydrate (g/day) | 0.31 ± 0.16 | – | 0.050 | ns | ns |
| Protein (g/day) | −0.20 ± 0.06 | – | 0.001 | ns | ns |
| Fat (g/day) | – | 0.04 ± 0.01 | ns | ns | ns |
| Saturated fat (g/day) | – | 0.02 ± 0.01 | ns | 0.025 | ns |
| High-fat dairy (kcal/day) | – | 0.40 ± 0.15 | ns | 0.008 | ns |
| n3 fatty acids (g/day) | |||||
| EPA | −0.001 ± 0.002 | – | 0.020 | ns | ns |
| DHA | −0.001 ± 0.001 | – | 0.024 | ns | ns |
| DPA | −0.0002 ± 0.001 | – | 0.000 | ns | ns |
| Fruit servings/day | −0.01 ± 0001 | – | 0.000 | ns | ns |
| Vegetable servings/day | −0.004 ± 0.001 | – | 0.000 | ns | ns |
| Beans/legumes (kcal/day) | – | – | ns | ns | ns |
| Rice (kcal/day) | 0.75 ± 0.39 | – | 0.050 | ns | ns |
| Sweets (kcal/day) | 0.93 ± 0.41 | – | 0.023 | ns | ns |
| Diabetes | |||||
| Sweets (kcal/day) | – | – | ns | ns | ns |
| Non-diabetes | |||||
| Salty snacks (g/day) | 0.48 ± 0.21 | – | 0024 | ns | ns |
| Glycemic index (g/day) | 0.03 ± 0.01 | – | 0017 | ns | ns |
| White bread (kcal/day) | – | 0.39 ± 0.14 | ns | 0.006 | ns |
| Potatoes (kcal/day) | – | 0.14 ± 0.05 | ns | 0.013 | ns |
| Mexican/pizza (kcal/day) | – | 0.19 ± 0.09 | ns | 0.040 | ns |
| Activity score | −004 ± 0.01 | – | 0.003 | ns | ns |
| t.v. watching (h/day) | 0.02 ± 0.01 | 0.01 ± 0.004 | 0.005 | ns | 0.008 |
Stress, cortisol, and insulin independent effects on dietary intake and activity were tested in linear regression models that also included the independent variables sex, age, education, energy intake, BMI, physical activity score, income to poverty ratio, and diabetes For analyses of activity and time spent watching t.v. physical activity, t v watching, and energy intake were removed as independent variables.
Multiple linear regression parameter estimates When statistically significant (P ≤ 0.05), regression slope (β) estimates ± S.E. for stress, cortisol, and insulin are shown, ns, not statistically significant (P > 0.05).
Stress was measured through the Perceived Stress Scale, range 0–56.
Urinary cortisol (μg/g creatinine; range 0.45–339).
Serum insulin (μIU/ml; range 1.3–419).