Exposición materna a monóxido de carbono y su asociación con recién nacidos pequeños para la edad gestacional en una ciudad andina colombiana
HTML (English)
HTML
PDF (English)
PDF

Palabras clave

Recién Nacido Pequeño para la Edad Gestacional
Monóxido de Carbono
Exposición Materna
Contaminación del Aire

Cómo citar

Ruiz-Murcia, F. A., Henao Navarro, L. D., & Arias-Ortiz, N. E. (2026). Exposición materna a monóxido de carbono y su asociación con recién nacidos pequeños para la edad gestacional en una ciudad andina colombiana. Salud UIS, 58. https://doi.org/10.18273/saluduis.58.e26v58a15

Resumen

Introducción:  Los recién nacidos pequeños para la edad gestacional (PEG), se definen como peso al nacer por debajo del percentil 10 corresponden a un desenlace perinatal adverso con implicaciones en la salud a corto y largo plazo. La exposición prenatal al monóxido de carbono (CO), derivado del tráfico vehicular, ha sido relacionada con restricción del crecimiento fetal. Este estudio se realizó con el objetivo de determinar la asociación entre la exposición materna a CO y la ocurrencia de PEG en una ciudad andina colombiana. Metodología:   Se realizó un estudio transversal analítico, se clasificó a los recién nacidos como casos (PEG) y controles (no PEG) pareados por sexo neonatal. La exposición materna se estimó mediante un inventario de emisiones vehiculares de CO (ton/año/celda de 250×250 m). Se aplicaron análisis descriptivos, χ² y pruebas t de Student, así como modelos multivariables de regresión logística incondicional para PEG y regresión lineal robusta para peso al nacer. Se ajustó por edad materna, paridad, régimen de aseguramiento y estado civil. Se consideró significativo p<0,05. Resultados:  Se incluyeron 71 casos con bajo peso y 142 controles. La exposición promedio a CO fue mayor en los casos (137 vs. 35 toneladas/año/celda de 250mX250m; p<0,001). La exposición por encima del cuarto cuartil de CO se asoció con un mayor riesgo de PEG (OR ajustado: 15.2 IC95%: 7,2–32; p<0,001). Por cada desviación estándar adicional de emisiones, el peso al nacer disminuyó en promedio 186 gramos. Conclusiones: La exposición prenatal a CO vehicular se asocia con mayor riesgo de PEG. Este hallazgo respalda la necesidad de políticas públicas orientadas al control de emisiones como medida preventiva en salud materno-perinatal y la necesidad de estudios que incluyan mediciones directas de concentraciones y ventanas gestacionales.

 

https://doi.org/10.18273/saluduis.58.e26v58a15
HTML (English)
HTML
PDF (English)
PDF

Citas

1. World Health Organization. 2018 Global reference list of 100 core health indicators (plus health-related SDGs). Geneva: WHO; 2018. [Internet] [Accessed 8 April 2025] Available from: https://www.who.int/publications/i/item/2018-global-reference-list-of-100-core-health-indicators-(-plus-health-related-sdgs)

2. World Health Organization. WHO recommendations for care of the preterm or low-birth-weight infant. Geneva: WHO; 2022. [Internet] [Accessed 8 April 2025] Available from: https://iris.who.int/bitstream/handle/10665/363697/9789240058262-eng.pdf

3. Grillo MA, Mariani G, Ferraris JR. Prematurity and Low Birth Weight in Neonates as a Risk Factor for Obesity, Hypertension, and Chronic Kidney Disease in Pediatric and Adult Age. Front Med (Lausanne). 2022; 8: 769734. doi: https://doi.org/10.3389/fmed.2021.769734

4. de Mendonça ELSS, de Lima Macêna M, Bueno NB, de Oliveira ACM, & Mello CS. Premature birth, low birth weight, small for gestational age and chronic non-communicable diseases in adult life: A systematic review with meta-analysis. Early Hum Dev. 2020; 149: 105154. doi: https://doi.org/10.1016/j.earlhumdev.2020.105154

5. Eves R, Mendonça M, Baumann N, Ni Y, Darlow BA, Horwood J, et al. Association of Very Preterm Birth or Very Low Birth Weight With Intelligence in Adulthood: An Individual Participant Data Meta-analysis. JAMA Pediatr. 2021; 175 (8): e211058. doi: https://doi.org/10.1001/jamapediatrics.2021.1058

6. World Health Organization. Global nutrition targets 2025: low birth weight policy brief. Geneva: WHO; 2014. [Internet] [Accessed 7 April 2025] Available from: https://iris.who.int/bitstream/handle/10665/149020/WHO_NMH_NHD_14.5_eng.pdf

7. Damhuis SE, Ganzevoort W, Gordijn SJ. Abnormal Fetal Growth: Small for Gestational Age, Fetal Growth Restriction, Large for Gestational Age: Definitions and Epidemiology. Obstet Gynecol Clin North Am. 2021; 48 (2) :267-279. doi: https://doi.org/10.1016/j.ogc.2021.02.002

8. Papageorghiou AT, Kennedy SH, Salomon LJ, Altman DG, Ohuma EO, Stones W, et al. The INTERGROWTH-21st fetal growth standards: toward the global integration of pregnancy and pediatric care. Am J Obstet Gynecol. 2018; 218 (2) :S630-S640. doi: https://doi.org/10.1016/j.ajog.2018.01.011

9. Figueras F, Gratacós E. An integrated approach to fetal growth restriction. Best Pract Res Clin Obstet Gynaecol. 2017; 38: 48-58. doi: https://doi.org/10.1016/j.bpobgyn.2016.10.006

10. Unterscheider J, Daly S, Geary MP, Kennelly MM, McAuliffe FM, O'Donoghue K, et al. Optimizing the definition of intrauterine growth restriction: The multicenter prospective PORTO study. Obstet Gynecol Surv. 2013; 68 (8): 549-551. doi: https://doi.org/10.1016/j.ajog.2013.02.007

11. Kiserud T, Benachi A, Hecher K, Perez RG, Carvalho J, Piaggio G, et al. The World Health Organization fetal growth charts: concept, findings, interpretation, and application. Am J Obstet Gynecol. 2018; 218 (2S): S619-S629. doi: https://doi.org/10.1016/j.ajog.2017.12.010

12. Risnes KR, Vatten LJ, Baker JL, Jameson K, Sovio U, Kajantie E, et al. Birthweight and mortality in adulthood: a systematic review and meta-analysis. Int J Epidemiol. 2011; 40 (3): 647-661. doi: https://doi.org/10.1093/ije/dyq267

13. Ministerio de Salud y Protección Social. Análisis de Situación de Salud (ASIS). Dirección de Epidemiología y Demografía. Bogotá: Ministerio de Salud y Protección Social; 2018. [Internet] [Accessed 8 April 2025] Available from:https://www.minsalud.gov.co/sites/rid/Lists/BibliotecaDigital/RIDE/VS/ED/PSP/asis-nacional-2017.pdf

14. Castelblanco Niño ML, Cerquera Guerrero L, Vélez Álvarez C, Vidarte Claros JA. Caracterización de los determinantes sociales de la salud y los componentes de la discapacidad en la ciudad de Manizales, Colombia. Diversitas. 2014; 10 (1): 87-102. doi: https://doi.org/10.15332/s1794-9998.2014.0001.06

15. Chandia-Poblete D, Cole-Hunter T, Haswell M, Heesch, KC. The influence of air pollution exposure on the short- and long-term health benefits associated with active mobility: A systematic review. Sci Total Environ. 2022; 850: 157978. doi: https://doi.org/10.1016/j.scitotenv.2022.157978

16. Lipfert FW. Long-term associations of morbidity with air pollution: A catalog and synthesis. J Air Waste Manag Assoc. 2018; 68 (1): 12-28. doi: https://doi.org/10.1080/10962247.2017.1349010

17. Brunekreef, B, Strak M, Chen J, Andersen ZJ, Atkinson R, Bauwelinck M, et al. Mortality and morbidity effects of long-term exposure to low-level PM2.5, BC, NO2, and O3: an analysis of European cohorts in the ELAPSE Project. Res Rep Health Eff Inst. 2021; (208): 1-127. https://pmc.ncbi.nlm.nih.gov/articles/PMC9476567/

18. Park J, Kim WJ, Kim J, Jeong CY, Park H, Hong YC, et al. Prenatal Exposure to Traffic-Related Air Pollution and the DNA Methylation in Cord Blood Cells: MOCEH Study. Int J Environ Res Public Health. 2022; 19 (6) :3292. doi: https://doi.org/10.3390/ijerph19063292

19. Bearblock E, Aiken CE, Burton GJ. Air pollution and pre-eclampsia; associations and potential mechanisms. Placenta. 2021; 104: 188-194. doi: https://doi.org/10.1016/j.placenta.2020.12.009

20. Morris RH, Counsell SJ, McGonnell IM, Thornton C. Early life exposure to air pollution impacts neuronal and glial cell function leading to impaired neurodevelopment. Bioessays. 2021; 43 (9): e2000288. doi: https://doi.org/10.1002/bies.202000288

21. Zhang H, Zhang X, Wang Q, Xu Y, Feng Y, Yu Z, et al. Ambient air pollution and stillbirth: An updated systematic review and meta-analysis of epidemiological studies. Environ Pollut. 2021; 278: 116752. doi: https://doi.org/10.1016/j.envpol.2021.116752

22. Fussell JC, Jauniaux E, Smith RB, Burton GJ. Ambient air pollution and adverse birth outcomes: A review of underlying mechanisms. BJOG. 2024; 131 (5): 538-550. doi: https://doi.org/10.1111/1471-0528.17727

23. World Health Organization. Air Pollution. Geneva: WHO; 2023. [Internet] [Accessed 11 April 2025] Available from: https://www.who.int/health-topics/air-pollution#tab=tab_2

24. Chen Y, Hodgson S, Gulliver J, Granell R, Henderson AJ, Cai Y, et al. Trimester effects of source-specific PM10 on birth weight outcomes in the Avon Longitudinal Study of Parents and Children (ALSPAC). Environ Health. 2021; 20 (1): 4. doi: https://doi.org/10.1186/s12940-020-00684-w

25. Cuadrado-Grisales LT, Ruiz-Murcia FA, Henao-Navarro LD, Aristizabal-Zuluaga BH. Birth Defects and Prenatal Exposure to Particulate Matter in a Colombian Population. Rev Peru Ginecol Obstet. 2023; 69 (3): 1-7. http://www.scielo.org.pe/scielo.php?pid=S2304-51322023000300005&script=sci_arttext&tlng=en

26. Gómez CD, González CM, Osses M, Aristizabal BH. Spatial and Temporal Disaggregation of the On-road Vehicle Emission Inventory in a Medium-sized Andean City: Comparison of GIS-based Top-down Methodologies. Atmos Environ. 2018; 179: 142-155. doi: https://doi.org/10.1016/j.atmosenv.2018.01.049

27. Wang X, Ding H, Ryan L, Xu X. Association between air pollution and low birth weight: a community-based study. Environ Health Perspect. 1997; 105 (5): 514-520. https://pmc.ncbi.nlm.nih.gov/articles/PMC1469882/

28. Dickson MA, Peterson N, McRae KE, Pudwell J, Tayade C, Smith GN. Carbon monoxide increases utero-placental angiogenesis without impacting pregnancy specific adaptations in mice. Reprod Biol Endocrinol. 2020; 18 (1): 49. https://link.springer.com/article/10.1186/s12958-020-00594-z

29. Orellano P, Quaranta N, Reynoso J, Balbi B, Vasquez J. Effect of outdoor air pollution on asthma exacerbations in children and adults: Systematic review and multilevel meta-analysis. PLoS One. 2017; 12 (3): e0174050. doi: https://doi.org/10.1371/journal.pone.0174050

30. Clasen TF, Chang HH, Thompson LM, Kirby MA, Balakrishnan K, Díaz-Artiga A, et al. Liquefied Petroleum Gas or Biomass for Cooking and Effects on Birth Weight. N Engl J Med. 2022; 387 (19): 1735-1746. doi: https://doi.org/10.1056/NEJMoa2206734

31. Wan X, Wei S, Wang Y, Jiang J, Lian X, Zou Z, et al. The association between maternal air pollution exposure and the incidence of congenital heart diseases in children: A systematic review and meta-analysis. Sci Total Environ. 2023; 892: 164431. doi: https://doi.org/10.1016/j.scitotenv.2023.164431

32. Li C, Yang M, Zhu Z, Sun S, Zhang Q, Cao J, et al. Maternal exposure to air pollution and the risk of low birth weight: a meta-analysis of cohort studies. Environ Res. 2020; 188: 109970. doi: https://doi.org/10.1016/j.envres.2020.109970

33. Rengarajan A, Mauro AK, Boeldt DS. Maternal disease and gasotransmitters. Nitric Oxide. 2020; 96: 1-12. doi: https://doi.org/10.1016/j.niox.2020.01.001

34. Guerra DD, Hurt KJ. Gasotransmitters in pregnancy: from conception to uterine involution. Biol Reprod. 2019; 101 (1): 4-25. doi: https://doi.org/10.1093/biolre/ioz038

35. Qian Z, Liang S., Yang S, Trevathan E, Huang Z, Yang R, et al. Ambiental Air pollution and preterm birth: A prospective birth cohort study in Wuhan, China. Int J Hyg Environ Health. 2016; 219: 195-203. doi: https://doi.org/10.1016/j.ijheh.2015.11.003

36. Guo P, Chen Y, Wu H, Zeng J, Zeng Z, Li W, et al. Ambient air pollution and markers of fetal growth: A retrospective population-based cohort study of 2.57 million term singleton births in China. Environ Int. 2020; 135: 105410. doi: https://doi.org/10.1016/j.envint.2019.105410

37. Cândido da Silva AM, Moi GP, Mattos IE, Hacon, S.deS. Low birth weight at term and the presence of fine particulate matter and carbon monoxide in the Brazilian Amazon: a population-based retrospective cohort study. BMC Pregnancy Childbirth. 2014; 14: 309. doi: https://doi.org/10.1186/1471-2393-14-309

38. González-Lozano D, Henao-Navarro LD, Aristizábal-Zuluaga BH, Ruiz-Murcia FA. Exposición antenatal a contaminantes vehiculares y asociación con parto pretérmino en Colombia. Rev Obstet Ginecol Venez. 2023; 83 (2): 160-168. doi: https://doi.org/10.51288/00830207

39. Narváez-Enríquez NE, Henao-Navarro LD, Ruiz-Murcia A, Aristizabal-Zuluaga BH. Exposición prenatal al monóxido de carbono y material particulado y su asociación con preeclampsia, en Colombia. Ginecol Obstet Mex. 2022; 90 (9): 715-725. doi: https://doi.org/10.24245/gom.v90i9.7886

40. Escobar DA, Martínez S, Moncada CA. Relación entre PM10 y condiciones de accesibilidad territorial urbana en Manizales (Colombia). Inf Tecnol. 2016; 27 (6): 273-284. doi: https://doi.org/10.4067/S0718-07642016000600027

41. Arteaga Botero GA. Análisis de indicadores de densidad en el municipio de Manizales, Colombia. Rev Ciudad Estados y Política. 2015; 2 (1): 44-53. https://perfilesycapacidades.javeriana.edu.co/es/publications/an%C3%A1lisis-de-indicadores-de-densidad-en-el-municipio-de-manizales-/

42. Cortés J, González CM, Morales L, Abalos M, Abad E, Aristizábal BH. PCDD/PCDF and dl-PCB in the ambient air of a tropical Andean city: Passive and active sampling measurements near industrial vehicular pollution sources. Sci Total Environ. 2014; 491-492: 67-74. doi: https://doi.org/10.1016/j.scitotenv.2014.01.113

43. González CM, Gómez CD, Rojas NY, Acevedo H, Aristizabal BH. Relative impact of on-road vehicular and point-source industrial emissions of air pollutants in a medium-sized Andean city. Atmos Environ. 2017; 152: 279-289. doi: https://doi.org/10.1016/j.atmosenv.2016.12.048

44. Cortés J, Cobo M, González CM, Abalos, M., Aristizábal, BH. Environmental variation of PCDD/Fs and dl-PCBs in two tropical Andean Colombian cities using passive samplers. Sci Total Environ. 2016; 568: 614-623. doi: https://doi.org/10.1016/j.scitotenv.2016.02.094

45. Sigurdsson H, Carey S. Volcanic disasters in Latin America and the 13th November 1985 eruption of Nevado del Ruiz volcano in Colombia. Disasters. 1986; 10 (3): 205-216. doi: https://doi.org/10.1111/j.1467-7717.1986.tb00590.x

46. Ramírez Loaiza V, Zambrano Hernández LA, Gutiérrez Rodríguez MC, Carvajal A, Armijos T. Treinta años después de la erupción del volcán Nevado del Ruiz: Memorias, voces, reparación y escenarios de participación. Rev Colomb Sociol. 2017; 40: 45-64. doi: https://doi.org/10.15446/rcs.v40n1.61948

47. Grant ID, Giussani DA, Aiken CE. Fetal growth and spontaneous preterm birth in high-altitude pregnancy: A systematic review, meta-analysis, and meta-regression. Int J Gynaecol Obstet. 2022; 157 (2): 221-229. doi: https://doi.org/10.1002/ijgo.13779

48. Ha S, Zhu Y, Liu D, Sherman S, Mendola P. Ambient temperature and air quality in relation to small for gestational age and term low birthweight. Environ Res. 2017; 155: 394-400. doi: https://doi.org/10.1016/j.envres.2017.02.021

49. Kingsley SL, Eliot MN, Glazer K, Awad YA, Schwartz JD, Savitz DA, et al. Maternal ambient air pollution, preterm birth and markers of fetal growth in Rhode Island: results of a hospital-based linkage study. J Epidemiol Community Health. 2017; 71 (12): 1131-1136. doi: https://doi.org/10.1136/jech-2017-208963

50. Choe SA, Jang J, Kim MJ, Jun YB, Kim SY. Association between ambient particulate matter concentration and fetal growth restriction stratified by maternal employment. BMC Pregnancy Childbirth. 2019; 19 (1): 246. doi: https://doi.org/10.1186/s12884-019-2401-9

51. Jia L, Liu Q, Hou H, Guo G, Zhang T, Fan S, et al. Association of ambient air pollution with risk of preeclampsia during pregnancy: a retrospective cohort study. BMC Public Health. 2020; 20 (1): 1663. doi: https://doi.org/10.1186/s12889-020-09719-w

52. van den Hooven EH, de Kluizenaar Y, Pierik FH, Hofman A, van Ratingen SW, Zandveld, PY, et al. Air pollution, blood pressure, and the risk of hypertensive complications during pregnancy: the generation R study. Hypertension. 2011; 57 (3): 406-412. doi: https://doi.org/10.1161/HYPERTENSIONAHA.110.164087

53. Pearce N. Analysis of matched case-control studies. BMJ. 2016; 352: i969. doi: https://doi.org/10.1136/bmj.i969

54. Rose S, Laan MJ. Why match? Investigating matched case-control study designs with causal effect estimation. Int J Biostat. 2009; 5 (1). doi: https://doi.org/10.2202/1557-4679.1127

Creative Commons License

Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.

Derechos de autor 2026 Fabian Andres Ruiz-Murcia, Leidy Diana Henao Navarro, Nelson Enrique Arias-Ortiz

Descargas

Los datos de descargas todavía no están disponibles.