Table 3. Weighted odds ratios (95% confidence intervals) for depressive symptoms across different categories of fruits and total fruits intakes, National Health and Nutrition Examination Survey 2007–2014.
Cases/participants | Crude | Model 1a | Model 2b | |
Apples intake (g/d)c | ||||
Group 1 (=0) | 1,346/13,549 | 1.00 (reference) | 1.00 (reference) | 1.00 (reference) |
Group 2 (<182.00) | 121/1,487 | 0.82 (0.60–1.10) | 0.81 (0.57–1.14) | 0.84 (0.60–1.19) |
Group 3 (≥182.00) | 126/1,889 | 0.63 (0.46–0.86)** | 0.75 (0.51–1.12) | 0.81 (0.54–1.21) |
P-trendd | 0.003 | 0.080 | 0.183 | |
Bananas intake (g/d)c | ||||
Group 1 (=0) | 1,274/12,394 | 1.00 (reference) | 1.00 (reference) | 1.00 (reference) |
Group 2 (<118.00) | 85/1,390 | 0.54 (0.38–0.78)** | 0.60 (0.40–0.90)* | 0.62 (0.41–0.95)* |
Group 3 (≥118.00) | 234/3,141 | 0.77 (0.60–0.97)** | 1.01 (0.78–1.31) | 1.08 (0.84–1.39) |
P-trendd | 0.005 | 0.529 | 0.902 | |
Berries intake (g/d)c | ||||
Group 1 (=0) | 1,499/15,020 | 1.00 (reference) | 1.00 (reference) | 1.00 (reference) |
Group 2 (<67.00) | 44/951 | 0.41 (0.28–0.60)*** | 0.72 (0.48–1.07) | 0.73 (0.49–1.09) |
Group 3 (≥67.00) | 50/954 | 0.33 (0.21–0.50)*** | 0.45 (0.27–0.75)** | 0.48 (0.29–0.79)** |
P-trendd | <0.001 | 0.001 | 0.003 | |
Dried fruits intake (g/d)c | ||||
Group 1 (=0) | 1,529/15,913 | 1.00 (reference) | 1.00 (reference) | 1.00 (reference) |
Group 2 (<25.50) | 24/505 | 0.35 (0.19–0.64)** | 0.38 (0.18–0.80)* | 0.39 (0.19–0.81)* |
Group 3 (≥25.50) | 40/507 | 0.56 (0.34–0.92)* | 0.89 (0.54–1.48) | 0.92 (0.55–1.53) |
P-trendd | 0.010 | 0.348 | 0.414 | |
Citrus intake (g/d)c | ||||
Group 1 (=0) | 1,441/14,790 | 1.00 (reference) | 1.00 (reference) | 1.00 (reference) |
Group 2 (<131.00) | 56/881 | 0.53 (0.35–0.78)** | 0.65 (0.42–1.00) | 0.67 (0.43–1.03) |
Group 3 (≥131.00) | 96/1,254 | 0.86 (0.63–1.18) | 0.97 (0.66–1.44) | 1.06 (0.71–1.58) |
P-trendd | 0.048 | 0.459 | 0.747 | |
Melons intake (g/d)c | ||||
Group 1 (=0) | 1,491/15,464 | 1.00 (reference) | 1.00 (reference) | 1.00 (reference) |
Group 2 (<152.00) | 45/715 | 0.73 (0.42–1.27) | 1.00 (0.53–1.90) | 1.04 (0.55–1.99) |
Group 3 (≥152.00) | 57/746 | 0.66 (0.43–1.01) | 0.76 (0.48–1.20) | 0.87 (0.53–1.43) |
P-trendd | 0.031 | 0.250 | 0.620 | |
Total fruits intake (g/d)e | ||||
Tertile 1 (<78.08) | 688/5,641 | 1.00 (reference) | 1.00 (reference) | |
Tertile 2 (78.08 to <249.00) | 479/5,596 | 0.67 (0.53–0.85)** | 0.79 (0.60–1.05) | |
Tertile 3 (≥249.00) | 426/5,688 | 0.53 (0.44–0.64)*** | 0.70 (0.57–0.86)* | |
P-trendd | <0.001 | 0.001 |
aModel 1 adjusted for gender, age, race, marital status, educational level, family income, body mass index, recreational physical activity, work physical activity, smoking status, alcohol consumption, hypertension, diabetes, heart disease, stroke, and total daily energy intake (continuous, kcal/d).
bModel 2 additionally adjusted for total fruits intake (continuous, g/d) for subgroups of fruits.
cEach type of fruit intake was segmented into three categories. Participants with no consumption the specific category of fruit were classified into group 1 (intake = 0), and individuals with consumption were divided into group 2 (<median) and group 3 (≥median) based on its median intake (g/d) among the participants with consumption.
dTests for linear trend were carried out by logistic regression, using a median value of each exposure intake category as a single ordinal variable.
eTotal fruits intake was divided into tertiles according to its distribution in the current entire study population.
*P < 0.05; **P < 0.01; ***P < 0.001.