Influence of Emergency Situations on Maternal and Infant Nutrition: Evidence and Policy Implications from Hurricane John in Guerrero, Mexico
Abstract
1. Introduction
2. Materials and Methods
2.1. Design and Participants
2.2. Data Collection
2.3. Data Analysis
2.4. Ethical Considerations
3. Results
3.1. Infant and Young Child Feeding Practices
3.2. Maternal and Infant Nutritional Status
4. Discussion
5. Lessons Learned and Key Recommendations
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
| AMAI | Mexican Association of Market Research Agencies |
| BMI | Body Mass Index |
| BMS | Breastmilk Substitute |
| CDC | Center for Disease Control |
| CIF | Commercial Infant Formula |
| ENSANUT | National Health and Nutrition Survey |
| IFE | Infant Feeding in Emergencies |
| IYCF-E | Infant and Young Child Feeding in Emergencies |
| IYCF | Infant and Young Child Feeding |
| MAM | Moderate Acute Malnutrition |
| MMSs | Multiple Micronutrient Supplements |
| MNPs | Micronutrient Powders |
| MUAC | Mid-Upper Arm Circumference |
| NIPH | National Institute of Public Health of Mexico |
| OG-IFE | Operational Guidance on Infant and Young Child Feeding in Emergencies |
| REDCap RUFT | Research Electronic Data Capture Ready-to-use therapeutic foods |
| SAM | Severe Acute Malnutrition |
| SD | Standard Deviation |
| SES | Socioeconomic Status |
| SSGro | Secretaría de Salud de Guerrero (by its acronym in Spanish) |
| UNICEF | United Nations International Children’s Emergency Fund |
| WASH | Water, Sanitation and Hygiene |
| WHO | World Health Organization |
Appendix A
| Pregnant Women (n = 76) | Caregivers from Infants < 6 m (n = 83) | Caregivers from Children 6–24 m (n = 156) | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Before | After | p Value * | Before | After | p Value * | Before | After | p Value * | |||||||
| Access to drinking water | n | % | n | % | n | % | n | % | n | % | n | % | |||
| Yes | 60 | 79.0 | 22 | 29.0 | 0.000 | 58 | 69.9 | 27 | 32.5 | 0.000 | 117 | 75.0 | 43 | 27.6 | 0.000 |
| No | 16 | 21.1 | 53 | 69.7 | 25 | 30.1 | 56 | 67.5 | 39 | 25.0 | 113 | 72.4 | |||
| Water to meet needs such as: | |||||||||||||||
| Drinking | 72 | 94.7 | 40 | 52.6 | 0.000 | 79 | 96.3 | 48 | 58.5 | 0.000 | 148 | 94.3 | 102 | 65.0 | 0.000 |
| Cooking | 74 | 97.4 | 39 | 51.3 | 0.000 | 80 | 97.6 | 48 | 58.5 | 0.000 | 152 | 96.8 | 105 | 66.9 | 0.000 |
| Personal hygiene (washing or bathing) | 75 | 98.7 | 42 | 55.3 | 0.000 | 75 | 91.5 | 42 | 51.2 | 0.000 | 143 | 91.1 | 85 | 54.1 | 0.000 |
| Other household purposes | 75 | 98.7 | 33 | 43.4 | 0.000 | 70 | 85.4 | 27 | 32.9 | 0.000 | 138 | 87.9 | 81 | 51.6 | 0.000 |
| There is not enough water to meet any of the above needs | 2 | 2.6 | 30 | 39.5 | 0.000 | 1 | 1.2 | 25 | 30.5 | 0.000 | 3 | 1.9 | 43 | 27.4 | 0.000 |
| Water quality | |||||||||||||||
| Good (no smell, color or taste) | 63 | 82.9 | 21 | 27.6 | ** 0.001 | 61 | 73.2 | 32 | 38.6 | ** 0.001 | 116 | 74.8 | 52 | 33.3 | ** 0.001 |
| Regular (the water is cloudy) | 13 | 17.1 | 30 | 39.5 | 22 | 26.8 | 33 | 39.8 | 36 | 23.2 | 70 | 45.5 | |||
| Poor (has smell, color or taste) | 0 | 0.0 | 25 | 32.9 | 0 | 0.0 | 18 | 21.7 | 3 | 1.9 | 33 | 21.2 | |||
| Diseases associated with water consumption | |||||||||||||||
| Diarrheal diseases (Yes) | 8 | 10.5 | 9 | 11.8 | ** 0.32 | 6 | 7.3 | 6 | 7.3 | ** 0.99 | 17 | 10.8 | 28 | 17.8 | ** 0.012 |
| Diseases such as dysentery, typhoid fever, cholera, hepatitis (Yes) | 0 | 0.0 | 2 | 2.6 | 2 | 2.4 | 2 | 2.4 | 1 | 0.6 | 1 | 0.6 | |||
| Skin infections (Yes) | 1 | 1.3 | 7 | 9.2 | 2 | 2.4 | 4 | 4.9 | 1 | 0.6 | 10 | 6.4 | |||
| Pregnant Women (n = 76) | Caregivers 0–6 Months (n = 83) | Caregivers 6–24 Months (n = 156) | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Before | After | Before | After | Before | After | ||||||||||
| Group | n | % | n | % | p Value * | n | % | n | % | p Value * | n | % | n | % | p Value * |
| Tubers and cereals | 74 | 97.4 | 65 | 85.5 | 0.004 | 81 | 97.6 | 74 | 89.2 | 0.065 | 150 | 96.2 | 133 | 85.3 | 0.001 |
| Legumes | 70 | 92.1 | 68 | 89.5 | 0.727 | 81 | 97.6 | 74 | 89.2 | 0.039 | 155 | 99.4 | 148 | 94.9 | 0.039 |
| Nuts and seeds | 40 | 52.6 | 26 | 34.2 | 0.003 | 37 | 44.6 | 25 | 30.1 | 0.004 | 78 | 50.0 | 58 | 37.2 | 0.003 |
| Dairy | 68 | 89.5 | 56 | 73.7 | 0.023 | 72 | 86.8 | 59 | 71.1 | 0.002 | 140 | 89.7 | 120 | 76.9 | 0.001 |
| Meat | 67 | 88.2 | 47 | 61.8 | 0.000 | 79 | 95.2 | 58 | 69.9 | 0.000 | 141 | 90.4 | 105 | 67.3 | 0.000 |
| Eggs | 73 | 96.1 | 69 | 90.8 | 0.289 | 77 | 92.8 | 70 | 84.3 | 0.092 | 149 | 95.5 | 139 | 89.1 | 0.031 |
| Dark green leafy vegetables | 46 | 60.5 | 40 | 52.6 | 0.210 | 46 | 55.4 | 37 | 44.6 | 0.035 | 104 | 66.7 | 82 | 52.6 | 0.001 |
| Fruits and vegetables rich in vit A | 65 | 85.5 | 53 | 69.7 | 0.012 | 76 | 91.6 | 55 | 66.3 | 0.000 | 144 | 92.3 | 116 | 74.4 | 0.000 |
| Other vegetables | 62 | 81.6 | 48 | 63.2 | 0.001 | 71 | 85.5 | 55 | 66.3 | 0.001 | 129 | 82.7 | 96 | 61.5 | 0.000 |
| Other fruits | 71 | 93.4 | 60 | 79.0 | 0.001 | 76 | 91.6 | 60 | 72.3 | 0.000 | 144 | 92.3 | 122 | 78.2 | 0.000 |
| Fried and salty foods | 36 | 47.4 | 26 | 34.2 | 0.031 | 36 | 43.4 | 25 | 30.1 | 0.027 | 68 | 43.6 | 39 | 25.0 | 0.000 |
| Sweet foods | 55 | 72.4 | 35 | 46.1 | 0.000 | 58 | 69.9 | 37 | 44.6 | 0.000 | 96 | 61.5 | 73 | 46.8 | 0.000 |
| Sweet drinks | 51 | 67.1 | 37 | 48.7 | 0.004 | 62 | 74.7 | 51 | 61.5 | 0.043 | 121 | 77.6 | 98 | 62.8 | 0.000 |
| Before | After | |||||
|---|---|---|---|---|---|---|
| Group | Meals/Day | n | % | n | % | Bowker χ2 (p Value) |
| Pregnant women (n = 76) | 1 | 2 | 2.63 | 5 | 6.6 | 26.3 (p = 0.003) |
| 2 | 18 | 23.7 | 39 | 51.3 | ||
| 3 | 49 | 64.5 | 30 | 39.5 | ||
| 4 | 6 | 7.9 | 2 | 2.6 | ||
| 5 | 1 | 1.3 | 0 | 0.0 | ||
| Caregivers of children < 6 months (n = 83) | 1 | 1 | 1.2 | 6 | 7.3 | 43.0 (p < 0.001) |
| 2 | 18 | 21.7 | 49 | 59.8 | ||
| 3 | 54 | 65.1 | 27 | 32.9 | ||
| 4 | 8 | 9.6 | 0 | 0.0 | ||
| 5 | 2 | 2.4 | 0 | 0.0 | ||
| Caregivers of children 6–24 months (n = 156) | 1 | 0 | 0.0 | 15 | 9.9 | 68.3 (p < 0.001) |
| 2 | 36 | 23.1 | 95 | 62.5 | ||
| 3 | 105 | 67.3 | 39 | 25.7 | ||
| 4 | 15 | 9.6 | 3 | 2.0 | ||
| All groups | 1 | 3 | 1.0 | 26 | 8.4 | 150.7 (p < 0.001) |
| 2 | 72 | 22.9 | 183 | 59.0 | ||
| 3 | 208 | 66.0 | 96 | 31.0 | ||
| 4 | 29 | 9.2 | 5 | 1.6 | ||
| 5 | 3 | 1.0 | 0 | 0.0 | ||
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| Pregnant Women (n = 76) | Caregivers from Infants < 6 m (n = 83) | Caregivers from Children 6–24 m (n = 156) | Total (n = 315) | |||||
|---|---|---|---|---|---|---|---|---|
| n | % | n | % | n | % | n | % | |
| Health Jurisdiction | ||||||||
| Acapulco | 59 | 77.6 | 62 | 74.7 | 114 | 73.1 | 235 | 74.6 |
| Costa Grande | 17 | 22.4 | 21 | 25.3 | 42 | 26.9 | 80 | 25.4 |
| Age (mean ± SD) | 25.9 | 6.3 | 26.2 | 6.2 | 29.3 | 8.7 | 27.7 | 7.7 |
| Categorical age | ||||||||
| 16–24 | 36 | 47.4 | 35 | 42.2 | 50 | 32.0 | 121 | 38.4 |
| 25–29 | 23 | 30.3 | 24 | 28.9 | 38 | 24.4 | 85 | 27.0 |
| 30–39 | 14 | 18.4 | 21 | 25.3 | 54 | 34.6 | 89 | 28.2 |
| >40 | 3 | 4.0 | 3 | 3.6 | 14 | 9.0 | 20 | 6.3 |
| Marital status | ||||||||
| Free union (Cohabiting) | 38 | 50.0 | 48 | 57.8 | 68 | 43.6 | 154 | 48.9 |
| Separated/divorced | 1 | 1.3 | 0 | 0.0 | 6 | 3.8 | 7 | 2.2 |
| Married | 34 | 44.7 | 26 | 31.3 | 77 | 49.4 | 137 | 43.5 |
| Single woman | 3 | 4.0 | 8 | 9.6 | 5 | 3.2 | 16 | 5.1 |
| Widow | 0 | 0.0 | 1 | 1.2 | 0 | 0.0 | 0.32 | 0.3 |
| Education | ||||||||
| None | 1 | 1.3 | 1 | 1.2 | 1 | 0.6 | 3 | 0.9 |
| Primary School | 11 | 14.5 | 7 | 8.4 | 19 | 12.2 | 37 | 11.7 |
| Secondary School | 33 | 43.4 | 28 | 33.7 | 61 | 39.1 | 122 | 38.7 |
| High School | 29 | 38.2 | 37 | 44.6 | 54 | 34.6 | 120 | 38.1 |
| Technical or commercial | 0 | 0.0 | 0 | 0.0 | 3 | 3.0 | 3 | 0.9 |
| Bachelor’s Degree | 2 | 2.6 | 10 | 12.0 | 18 | 11.5 | 30 | 9.5 |
| Socioeconomic Level | ||||||||
| High | 0 | 0.0 | 0 | 0.0 | 1 | 0.6 | 1 | 0.3 |
| Medium | 14 | 18.4 | 12 | 14.5 | 37 | 23.7 | 63 | 20 |
| Low | 53 | 69.7 | 66 | 79.5 | 94 | 60.3 | 213 | 67.6 |
| Very low | 9 | 11.8 | 5 | 6.0 | 24 | 15.4 | 38 | 12.1 |
| Total (n = 315) | |||||
|---|---|---|---|---|---|
| Before | After | p Value * | |||
| n | % | n | % | ||
| Access to drinking water | |||||
| Yes | 235 | 74.6 | 92 | 29.3 | 0.000 |
| No | 80 | 25.4 | 222 | 70.7 | |
| Water to meet needs such as: | |||||
| Drinking | 299 | 94.9 | 190 | 60.3 | 0.000 |
| Cooking | 306 | 97.1 | 192 | 61 | 0.000 |
| Personal hygiene (washing or bathing) | 293 | 93 | 169 | 53.7 | 0.000 |
| Other household purposes (cleaning the house, floor, etc.) | 283 | 89.8 | 141 | 44.8 | 0.000 |
| There is not enough water to meet any of the above needs | 6 | 1.9 | 98 | 31.1 | 0.000 |
| Water quality | |||||
| Good (no smell, color or taste) | 240 | 76.2 | 105 | 33.3 | ** 0.001 |
| Regular (the water is cloudy) | 71 | 22.5 | 133 | 42.2 | |
| Poor (has smell, color or taste) | 3 | 1 | 76 | 24.1 | |
| Diseases associated with water consumption | |||||
| Diarrheal diseases (Yes) | 31 | 9.8 | 43 | 13.7 | ** 0.01 |
| Diseases such as dysentery, typhoid fever, cholera, hepatitis (Yes) | 3 | 1 | 5 | 1.6 | |
| Skin infections (Yes) | 4 | 1.3 | 21 | 6.7 | |
| <6 m (n = 83) | 6–24 m (n = 156) * | |||
|---|---|---|---|---|
| Indicators | ||||
| L/A Categories | n | % | n | % |
| Adequate | 67 | 80.7 | 89 | 58.6 |
| Low length risk | 10 | 12.0 | 42 | 27.6 |
| Low length | 4 | 4.8 | 15 | 9.9 |
| Severely low length | 2 | 2.4 | 6 | 4.0 |
| W/L Categories | n | % | n | % |
| Obesity | - | - | 2 | 1.3 |
| Overweight | 5 | 6.0 | 11 | 7.1 |
| Risk of Overweight | 17 | 20.5 | 19 | 12.2 |
| Adequate | 52 | 62.7 | 101 | 64.7 |
| Risk of Acute Malnutrition | 5 | 6.0 | 19 | 12.2 |
| MAM | 3 | 3.6 | 4 | 2.6 |
| SAM | 1 | 1.2 | 0 | 0.0 |
| MUAC Categories | n | % | n | % |
| Normal | 76 | 91.6 | 143 | 91.7 |
| With malnutrition | 7 | 8.4 | - | - |
| Risk of Acute Malnutrition | - | - | 11 | 7.1 |
| MAM | - | - | 2 | 1.3 |
| Key Actors | Recommendations |
|---|---|
| Federal Government and Decision-Makers |
|
| Ministry of Health |
|
| Civil Protection, Red Cross, and Emergency Response Agencies |
|
| Army and Food Distribution Agencies (e.g., DIF) |
|
| Primary Healthcare Units |
|
| Local Governments and Municipalities |
|
| All Levels of Government |
|
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Kim-Herrera, E.; Lozada-Tequeanes, A.L.; González-Castell, D.; Chávez-Muñoz, E.A.; Alvarado-Casas, R.; Rafalli-Arismendi, S.; Sachse-Aguilera, M.; De Bustos, C.; Bonvecchio-Arenas, A. Influence of Emergency Situations on Maternal and Infant Nutrition: Evidence and Policy Implications from Hurricane John in Guerrero, Mexico. Int. J. Environ. Res. Public Health 2025, 22, 1615. https://doi.org/10.3390/ijerph22111615
Kim-Herrera E, Lozada-Tequeanes AL, González-Castell D, Chávez-Muñoz EA, Alvarado-Casas R, Rafalli-Arismendi S, Sachse-Aguilera M, De Bustos C, Bonvecchio-Arenas A. Influence of Emergency Situations on Maternal and Infant Nutrition: Evidence and Policy Implications from Hurricane John in Guerrero, Mexico. International Journal of Environmental Research and Public Health. 2025; 22(11):1615. https://doi.org/10.3390/ijerph22111615
Chicago/Turabian StyleKim-Herrera, Edith, Ana Lilia Lozada-Tequeanes, Dinorah González-Castell, Edgar Arturo Chávez-Muñoz, Rocío Alvarado-Casas, Susana Rafalli-Arismendi, Matthias Sachse-Aguilera, Cecilia De Bustos, and Anabelle Bonvecchio-Arenas. 2025. "Influence of Emergency Situations on Maternal and Infant Nutrition: Evidence and Policy Implications from Hurricane John in Guerrero, Mexico" International Journal of Environmental Research and Public Health 22, no. 11: 1615. https://doi.org/10.3390/ijerph22111615
APA StyleKim-Herrera, E., Lozada-Tequeanes, A. L., González-Castell, D., Chávez-Muñoz, E. A., Alvarado-Casas, R., Rafalli-Arismendi, S., Sachse-Aguilera, M., De Bustos, C., & Bonvecchio-Arenas, A. (2025). Influence of Emergency Situations on Maternal and Infant Nutrition: Evidence and Policy Implications from Hurricane John in Guerrero, Mexico. International Journal of Environmental Research and Public Health, 22(11), 1615. https://doi.org/10.3390/ijerph22111615

