Table 3.
Cross-sectional logistic regression models with GEE for associations between fruit and vegetable consumption and depression symptoms in the ALSWH 1973–78 cohort
Model 1† | Model 2‡ | Model 3§ | ||||
---|---|---|---|---|---|---|
OR | 95% CI | OR | 95% CI | OR | 95% CI | |
Fruit | ||||||
≤ 1 serve/day | 1.00 | – | 1.00 | – | 1.00 | – |
2–3 serves/day | 0.85 | 0.79–0.91 | 0.88 | 0.81–0.94 | 0.93 | 0.86–1.00 |
≥ 4 serves/day | 0.69 | 0.55–0.86 | 0.71 | 0.56–0.89 | 0.76 | 0.60–0.96 |
Vegetables | ||||||
≤ 1 serve/day | 1.00 | – | 1.00 | – | 1.00 | – |
2–4 serves/day | 0.78 | 0.71–0.86 | 0.81 | 0.73–0.89 | 0.83 | 0.75–0.91 |
≥ 5 serves/day | 0.71 | 0.63–0.81 | 0.75 | 0.66–0.86 | 0.79 | 0.69–0.91 |
GEE generalised estimating equations, OR odds ratio, CI confidence interval
Bold indicates a significant association
†Adjusted for total energy intake and total fish consumption
‡Additionally adjusted for sociodemographic variables: area of residence, marital status, education, ability to manage on income, having a child
§Additionally adjusted for health behaviours: smoking status, physical activity, alcohol, BMI; and history of chronic disease