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