Factors Associated with Dietary Patterns in Colombia
Abstract
1. Introduction
2. Methodology
Ethical Considerations
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Variable | Category | n = 16.216 | % |
---|---|---|---|
Area | City | 12.099 | 74.6% |
Village | 583 | 3.6% | |
Rural | 3.534 | 21.8% | |
Age ranges | 15–29 years | 8.753 | 54.0% |
30–44 years | 3.596 | 22.2% | |
45–59 years | 3.114 | 19.2% | |
60–64 years | 753 | 4.6% | |
Sex | Man | 6.969 | 43.0% |
Woman | 9.247 | 57.0% | |
Educational level * | Less than primary (0–4 years) | 2.464 | 15.2% |
Education between primary and secondary | 12.893 | 79.5% | |
Higher education | 778 | 4.8% | |
Hypertension | No | 12.142 | 74.9% |
Yes | 4.074 | 25.1% | |
Diabetes | No | 15.951 | 98.4% |
Yes | 265 | 1.6% | |
Cancer | No | 16.084 | 99.2% |
Yes | 132 | 0.8% | |
Quartile of wealth | First quartile | 7.360 | 45.4% |
Second quartile | 3.886 | 24.0% | |
Third quartile | 3.046 | 18.8% | |
Fourth quartile | 1.924 | 11.9% |
Dietary Pattern | Model | # Var | # Sig Var | LL-2 | R2 of Cox and Snell | R2 of Nagelkerke | Chi2 * | p-Value |
---|---|---|---|---|---|---|---|---|
Boss Traditional (1) | 1 | 8 | 5 | 3743.23 | 0.028 | 0.1214 | 33.42 | <0.001 |
2 | 7 | 5 | 3743.30 | 0.028 | 0.1213 | 32.89 | <0.001 | |
3 | 6 | 6 | 3752.03 | 0.027 | 0.119 | 32.85 | <0.001 | |
Industrialized Pattern (2) | 1 | 8 | 6 | 11,168.16 | 0.084 | 0.155 | 18.850 | 0.016 |
2 | 7 | 6 | 11,168.18 | 0.084 | 0.155 | 17.685 | 0.024 | |
3 | 6 | 6 | 11,168.20 | 0.084 | 0.155 | 17.858 | 0.022 | |
Conservative Pattern (3) | 1 | 8 | 6 | 6313.00 | 0.025 | 0.075 | 26.476 | 0.001 |
2 | 6 | 5 | 6315.15 | 0.025 | 0.074 | 34.853 | <0.001 | |
Grill/Beverage (4) | 1 | 8 | 8 | 21,104.06 | 0.071 | 0.096 | 12.996 | 0.112 |
Dietary Pattern | Variable | OR | 95% C.I. Para OR | p-Value | |
---|---|---|---|---|---|
Lower | Upper | ||||
Boss Traditional (1) | Age between 30 and 44 | 0.410 | 0.317 | 0.532 | 0.000 |
Age between 45 and 59 | 0.208 | 0.162 | 0.268 | 0.000 | |
Age between 60 and 64 | 0.106 | 0.075 | 0.150 | 0.000 | |
Being a woman | 0.479 | 0.390 | 0.590 | 0.000 | |
Suffering from hypertension | 9.579 | 6.687 | 13,720 | 0.000 | |
Quartile 2 of wealth | 0.693 | 0.542 | 0.886 | 0.003 | |
Quartile 3 of wealth | 0.713 | 0.546 | 0.930 | 0.013 | |
Quartile 4 of wealth | 0.631 | 0.466 | 0.855 | 0.003 | |
Suffering from diabetes | 4.448 | 1.406 | 14,070 | 0.011 | |
Between primary and secondary education | 0.784 | 0.595 | 1.033 | 0.084 | |
Higher education | 0.316 | 0.210 | 0.475 | 0.000 | |
Industrialized Pattern (2) | Age between 30 and 44 | 0.385 | 0.337 | 0.441 | 0.000 |
Age between 45 and 59 | 0.183 | 0.160 | 0.209 | 0.000 | |
Age between 60 and 64 | 0.109 | 0.090 | 0.131 | 0.000 | |
Being a woman | 0.632 | 0.571 | 0.699 | 0.000 | |
Suffering from hypertension | 1.202 | 1.074 | 1.346 | 0.001 | |
Quartile 2 of wealth | 1.054 | 0.915 | 1.214 | 0.463 | |
Quartile 3 of wealth | 1.168 | 0.997 | 1.369 | 0.055 | |
Quartile 4 of wealth | 1.253 | 1.041 | 1.507 | 0.017 | |
Education between primary and secondary | 1.437 | 1.270 | 1.626 | 0.000 | |
Higher education | 1.406 | 1.100 | 1.797 | 0.007 | |
Village | 0.742 | 0.578 | 0.954 | 0.020 | |
Rural | 0.620 | 0.543 | 0.709 | 0.000 | |
Conservative Pattern (3) | Age between 30 and 44 | 0.625 | 0.518 | 0.753 | 0.000 |
Age between 45 and 59 | 0.443 | 0.365 | 0.538 | 0.000 | |
Age between 60 and 64 | 0.267 | 0.202 | 0.353 | 0.000 | |
Being a woman | 0.743 | 0.644 | 0.857 | 0.000 | |
Suffering from hypertension | 5.131 | 4.000 | 6.582 | 0.000 | |
Quartile 2 of wealth | 1.359 | 1.130 | 1.634 | 0.001 | |
Quartile 3 of wealth | 1.503 | 1.216 | 1.858 | 0.000 | |
Quartile 4 of wealth | 1.480 | 1.141 | 1.920 | 0.003 | |
Suffering from diabetes | 2.833 | 1.324 | 6.060 | 0.007 | |
Education between primary and secondary | 1.410 | 1.172 | 1.696 | 0.000 | |
Higher education | 0.691 | 0.492 | 0.970 | 0.033 | |
Suffering from cancer | 3.932 | 0.962 | 16,071 | 0.057 | |
Grill/Beverage (4) | Age between 30 and 44 | 1.232 | 1.131 | 1.343 | 0.000 |
Age between 45 and 59 | 0.829 | 0.754 | 0.911 | 0.000 | |
Age between 60 and 64 | 0.597 | 0.506 | 0.704 | 0.000 | |
Being a woman | 0.372 | 0.348 | 0.397 | 0.000 | |
Suffering from hypertension | 1.247 | 1.149 | 1.354 | 0.000 | |
Quartile 2 of wealth | 0.802 | 0.732 | 0.878 | 0.000 | |
Quartile 3 of wealth | 0.865 | 0.783 | 0.955 | 0.004 | |
Quartile 4 of wealth | 0.980 | 0.872 | 1.101 | 0.737 | |
Suffering from diabetes | 1.589 | 1.224 | 2.061 | 0.000 | |
Education between primary and secondary | 1.207 | 1.092 | 1.334 | 0.000 | |
Higher education | 1.452 | 1.215 | 1.736 | 0.000 | |
Suffering from cancer | 1.479 | 1.025 | 2.134 | 0.037 | |
Village | 1.046 | 0.876 | 1.248 | 0.620 | |
Rural | 1.508 | 1.371 | 1.659 | 0.000 |
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Meneses-Urrea, L.A.; Vaquero-Abellán, M.; Villegas Arenas, D.; Benachi Sandoval, N.; Hernández-Carrillo, M.; Molina-Recio, G. Factors Associated with Dietary Patterns in Colombia. Nutrients 2023, 15, 2079. https://doi.org/10.3390/nu15092079
Meneses-Urrea LA, Vaquero-Abellán M, Villegas Arenas D, Benachi Sandoval N, Hernández-Carrillo M, Molina-Recio G. Factors Associated with Dietary Patterns in Colombia. Nutrients. 2023; 15(9):2079. https://doi.org/10.3390/nu15092079
Chicago/Turabian StyleMeneses-Urrea, Luz Adriana, Manuel Vaquero-Abellán, Dolly Villegas Arenas, Narly Benachi Sandoval, Mauricio Hernández-Carrillo, and Guillermo Molina-Recio. 2023. "Factors Associated with Dietary Patterns in Colombia" Nutrients 15, no. 9: 2079. https://doi.org/10.3390/nu15092079
APA StyleMeneses-Urrea, L. A., Vaquero-Abellán, M., Villegas Arenas, D., Benachi Sandoval, N., Hernández-Carrillo, M., & Molina-Recio, G. (2023). Factors Associated with Dietary Patterns in Colombia. Nutrients, 15(9), 2079. https://doi.org/10.3390/nu15092079