Logistic LASSO Regression for Dietary Intakes and Breast Cancer
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Design
2.2. Sample
2.3. Breast Cancer Data
2.4. Dietary Intake
2.5. Other Measures
2.6. Statistical Analysis
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
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Descriptive Variable | Women with Self-Reported Breast Cancer (n = 286) | Women without Self-Reported Breast Cancer (n = 1144) | p-Value |
---|---|---|---|
Mean age (± SD) | 68.46, (0.74) | 63.19, (0.36) | <0.001 |
Parity, mean (± SD) | 2.49, (0.17) | 2.70, (0.07) | 0.15 |
Age at first menarche, mean (± SD) | 12.62, (0.13) | 12.89, (0.06) | 0.06 |
Ethnicity, n, (%) | |||
Non-Hispanic White | 203, (88%) | 595, (77%) | <0.001 |
Non-Hispanic Black | 44, (7.2%) | 219, (10.9%) | |
Hispanic | 32, (2.6%) | 294, (8.1%) | |
Unknown/Other | 5, (2.3%) | 36, (4.5%) | |
BMI (kg/m2) 1, mean (± SD) | 28.89, (0.55) | 29.38, (0.33) | 0.43 |
Descriptive Variable Mean (SD) 1 | Women with Self-Reported Breast Cancer (n = 286) | Women without Self-Reported Breast Cancer (n = 1144) | 95% CI (Difference of Means) 1 | p-Value |
---|---|---|---|---|
Energy (Kcal) | 1638 (43.60) | 1648 (28.23) | (−109.59, 91.01) | 0.46 |
Carbohydrate (g) | 205.38 (6.46) | 204.75 (3.77) | (−14.34, 15.57) | 0.36 |
Carbohydrate, % energy | 50.43 (0.86) | 50.44 (0.48) | (−2.00, 1.98) | 0.80 |
Protein (g) | 64.20 (2.38) | 65.45 (1.31) | (−6.46, 3.97) | 0.68 |
Protein, % energy | 15.89 (0.30) | 16.10 (0.18) | (−0.944, 0.520) | 0.72 |
Total Fat (g) | 61.86 (2.05) | 63.99 (1.47) | (−6.83, 2.64) | 0.50 |
Fat, % energy | 33.57 (0.60) | 33.97 (0.39) | (−1.88, 1.06) | 0.78 |
Cholesterol (mg) | 213.80 (10.56) | 226.50 (7.70) | (−40.46, 15.05) | 0.40 |
Fiber (g) | 15.23 (0.72) | 14.85 (0.34) | (−1.25, 2.02) | 0.38 |
Folate (μg) | 353.49 (13.81) | 347.07 (8.40) | (−26.49, 39.34) | 0.38 |
Vitamin B12 (μg) | 5.02 (0.75) | 4.17 (0.15) | (−0.632, 2.34) | 0.08 |
Vitamin B6 (mg) | 1.61 (0.07) | 1.60 (0.04) | (−0.16, 0.19) | 0.45 |
Thiamin (mg) | 1.36 (0.07) | 1.39 (0.04) | (−0.18, 0.15) | 0.73 |
Riboflavin (mg) | 1.89 (0.07) | 1.88 (0.04) | (−0.164, 0.16) | 0.45 |
Calcium (mg) | 772.74 (27.24) | 780.44 (20.44) | (−67.42, 52.03) | 0.21 |
Phosphorous (mg) | 1082 (35.87) | 1096 (20.13) | (−91.45, 63.47) | 0.49 |
Magnesium (mg) | 253.27 (9.13) | 256.33 (4.79) | (−24.00, 17.89) | 0.65 |
Iron (mg) | 13.24 (0.56) | 12.84 (0.29) | (−0.93, 1.72) | 0.25 |
Vitamin A (IU) | 685.55 (75.15) | 648.52 (18.85) | (−116.40, 190.45) | 0.19 |
Vitamin C (mg) | 87.68 (4.14) | 92.04 (4.81) | (−16.66, 7.94) | 0.28 |
Vitamin E (mg) | 6.66 (0.40) | 6.67 (0.19) | (−0.93, 0.91) | 0.52 |
Zinc (mg) | 9.76 (0.35) | 9.61 (0.24) | (−0.61, 0.92) | 0.24 |
Sodium (mg) | 2665 (84.90) | 2768 (59.30) | (−289.68, 81.87) | 0.80 |
Potassium (mg) | 2452 (61.65) | 2476 (39.86) | (−158.56, 109.05) | 0.38 |
Caffeine (mg) | 154.56 (14.42) | 174.94 (11.62) | (−57.97, 17.21) | 0.38 |
Alcohol (g) | 5.31 (1.01) | 3.17 (0.49) | (0.08, 4.21) 2 | 0.19 |
Variables | Coefficients (Bootstrap SE) |
---|---|
Well-established Variables | |
Age (years) | 0.83 (0.41) |
Parity (# live births) | −0.05 (0.03) |
Age at first menstrual cycle | 0 |
Alcohol (g) | 0.03 (0.02) |
Other Variables | |
Caffeine (mg) | −0.01 (0.02) |
Mexican/Hispanic | 0 |
Non-Hispanic Black | 0 |
Other | 0 |
Dietary Variables | |
Energy (Kcal) | 0 |
Carbohydrate, % energy | 0 |
Protein, % energy | 0 |
Fat, % energy | 0 |
Cholesterol (mg) | 0 |
Fiber (g) | 0 |
Folate (μg) | 0 |
Vitamin B12 (μg) | 0.07 (0.05) |
Vitamin B6 (mg) | 0 |
Thiamin (Vitamin B1) (mg) | 0 |
Riboflavin (Vitamin B2) (mg) | 0 |
Calcium (mg) | 0 |
Phosphorous (mg) | 0 |
Magnesium (mg) | 0 |
Iron (mg) | 0 |
Vitamin A (RE) | 0 |
Vitamin C (mg) | 0 |
Vitamin E (mg) | 0 |
Zinc (mg) | 0 |
Sodium (mg) | 0 |
Potassium (mg) | 0 |
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McEligot, A.J.; Poynor, V.; Sharma, R.; Panangadan, A. Logistic LASSO Regression for Dietary Intakes and Breast Cancer. Nutrients 2020, 12, 2652. https://doi.org/10.3390/nu12092652
McEligot AJ, Poynor V, Sharma R, Panangadan A. Logistic LASSO Regression for Dietary Intakes and Breast Cancer. Nutrients. 2020; 12(9):2652. https://doi.org/10.3390/nu12092652
Chicago/Turabian StyleMcEligot, Archana J., Valerie Poynor, Rishabh Sharma, and Anand Panangadan. 2020. "Logistic LASSO Regression for Dietary Intakes and Breast Cancer" Nutrients 12, no. 9: 2652. https://doi.org/10.3390/nu12092652