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Abstract


Introduction. Low birth weight continues to be a major public health problem and is associated with a lot of short and long term consequences in both low and hiigh income countries.  The objective of the work was to assess the factors associated with low birth weight in the communities of Bamako. Methodology. Quantitative, descriptive and cross-sectional study using a questionnaire to assess the associated factors of low birth weight among children in the communities of Bamako. The population of this study concerned mother-newborn couples in Bamako communes. Results. A total of 502 mother-child couples were included in this study. The prevalence of low birth weight was 14.5%. All mothers had benefited from antenatal care, and more than half of the mothers received 4 or more antenatal care during their last pregnancy. Diseases like malaria, urogenital infection, bleeding were declared by mothers.  We found that newborn sex (P< 0.001), maternal age (P< 0.001), gravidity (P=0.04) and nutritional status (P=0.04) were significantly associated with low birth weight.  Conclusion. There is a statistically significant association between low birth weight and newborn sex, maternal age, gravidity and nutritional status. Our study highlights the need of maternal health interventions to improve newborn health.


Résumé


Introduction. L'insuffisance pondérale à la naissance continue d'être un important problème de santé publique à l'échelle mondiale et est associée à une série de conséquences à court et à long terme, aussi bien dans les pays en voie de développement que dans les pays développés. L’objectif de ce travail est d’évaluer les facteurs associés au faible poids de naissance dans les communes de Bamako au Mali. Méthodologie. Étude quantitative, descriptive et transversale utilisant un questionnaire pour évaluer les facteurs associés du faible poids de naissance chez les enfants dans les communes de Bamako au Mali. La population de cette étude a concerné les couples mères-nouveau nés dans les communes de Bamako, au Mali. Résultats. Au total 502 couples mère-enfant ont été inclus dans cette étude. La prévalence du faible poids de naissance était de 14,5%. Toutes les mères avaient bénéficié de consultation prénatale et plus de la moitié des mères avaient bénéficiées de 4 consultations prénatales ou plus lors de leur dernière grossesse. Des pathologies comme le paludisme, l’infection uro-génitale, le saignement ont été expérimentées par les mères. Cette étude a trouvé que le sexe du nouveau-né ( P< 0,001), l’âge des mères ( P< 0,001) , la gestité (P=0,04) et l’IMC (P=0,04) étaient significativement associés au faible de poids de naissance. Conclusion. Le sexe de l’enfant, l’âge de la mère, la gestité et l’état nutritionnel (IMC) sont significativement associés au faible poids de naissance. Les résultats de cette étude mettent en évidence la nécessité d'interventions de santé maternelle pour améliorer la santé des nouveau-nés.

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Ghislain Poda, Kone, H., Cisse, H. ., Traore, F., Mounkoro, N., Diallo, D., & Poda, P. (2022). Factors Associated with Low Birth Weight of Children in the Communities of Bamako (Mali). HEALTH SCIENCES AND DISEASE, 23(12). https://doi.org/10.5281/hsd.v23i12.4034
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References

  1. World Health Organization. Global nutrition targets for 2025. Guidance notes on low birth weight. Geneva, WHO; 2022. Available at the following link: file:///C:/Users/podag/Downloads/WHO_NMH_NHD_14.5_eng.pdf and accessed February 19, 2022
  2. Christian P, Lee SE, Donahue Angel M, Adair LS, Arifeen SE, Ashorn P, Barros FC, Fall CH, Fawzi WW, Hao W, Hu G, Humphrey JH et al. Risk of childhood undernutrition related to small-for-gestational age and preterm birth in low- and middle-income countries. Int J Epidemiol. 2013 Oct;42(5):1340-55.
  3. Gu H, Wang L, Liu L, Luo X, Wang J, Hou F, Nkomola PD, Li J, Liu G, Meng H, Zhang J, Song R. A gradient relationship between low birth weight and IQ: A meta-analysis. Sci Rep. 2017 Dec 21;7(1):18035.
  4. Jornayvaz FR, Vollenweider P, Bochud M, Mooser V, Waeber G, Marques-Vidal P. Low birth weight leads to obesity, diabetes, and increased leptin levels in adults: the CoLaus study. Cardiovasc Diabetol. 2016; 15: 73.
  5. National Institute of Statistics (INSTAT), Planning and Statistics Unit Health-Social Development and Family Promotion Sector (CPS/SS-DS-PF) and ICF. 2019. Demographic and Health Survey in Mali 2018. Bamako, Mali and Rockville, Maryland, USA: INSTAT, CPS/SS-DS-PF and ICF
  6. Ministry of Health of Mali. 2020 DHIS2 data, Bamako, Mali, 2021.
  7. United Nations Development Program. UNDP support for the implementation of the 2030 Agenda for Sustainable Development. UNDP, 2019
  8. Sema A, Tesfaye F, Belay Y, Amsalu B, Bekele D, Desalew A. Associated Factors with Low Birth Weight in Dire Dawa City, Eastern Ethiopia: A Cross-Sectional Study. Biomed Res Int. 2019 Dec 9;2019:2965094. DOI: 10.1155/2019/2965094. PMID: 31886197; PMCID: PMC6925748
  9. Hidalgo-Lopezosa P, Jiménez-Ruz A, Carmona-Torres JM, Hidalgo-Maestre M, Rodríguez-Borrego MA, López-Soto PJ. Sociodemographic factors associated with preterm birth and low birth weight: A cross-sectional study. Women Birth. 2019 Dec;32(6):e538-e543. doi: 10.1016/j.wombi.2019.03.014. Epub 2019 Apr 9. PMID: 30979615.
  10. UNICEF-WHO Low birthweight estimates: Levels and trends 2000-2015. Geneva: World Health Organization; 2019 (https://www.who.int/nutrition/publications/UNICEF-WHO-lowbirthweight-estimates-2019/en/).
  11. Tessema ZT, Tamirat KS, Teshale AB, Tesema GA. Prevalence of low birth weight and its factor associated with birth in sub-Saharan Africa: a generalized linear mixed model. PLoS one. 2021 Mar 11;16(3):e0248417. doi: 10.1371/journal.pone.0248417. PMID: 33705473; PMCID: PMC7951905.
  12. He Z, Bishwajit G, Yaya S, Cheng Z, Zou D, Zhou Y. Prevalence of low birth weight and its association with maternal body weight status in selected African countries: a cross-sectional study. BMJ Open. 29 Aug 2018;8( 8):e020410. doi: 10.1136/bmjopen-2017-020410. PMID: 30158218; PMCID: PMC6119454.
  13. Godah MW, Beydoun Z, Abdul-Khalek RA, Safieddine B, Khamis AM, Abdulrahim S. Maternal Education and Low Birth Weight in Low- and Middle-Income Countries: Systematic Review and Meta-Analysis. Matern Child Health J. 2021 Aug;25(8):1305-1315. doi: 10.1007/s10995-021-03133-3. Epub 2021 May 4. PMID: 33945084.
  14. Bellizzi S, Padrini S. Quality utilization of antenatal care and low birth weight: evidence from 18 demographic health surveys. East Mediterr Health J. 2020 Nov 11;26(11):1381-1387. doi: 10.26719/emhj.20.055. PMID: 33226106.
  15. Kuhnt J, Vollmer S. Antenatal care services and its implications for vital and health outcomes of children: evidence from 193 surveys in 69 low-income and middle-income countries. BMJ Open. 2017 Nov 15;7(11):e017122. doi: 10.1136/bmjopen-2017-017122. PMID: 29146636; PMCID: PMC5695442.
  16. Weyori AE, Seidu AA, Aboagye RG, Holmes FA, Okyere J, Ahinkorah BO. Attendance at antenatal care and low birth weight in institutions in sub-Saharan Africa. BMC Pregnancy delivery. 2022 Apr 5;22(1):283. doi: 10.1186/s12884-022-04576-4. PMID: 35382792; PMCID: PMC8985289.
  17. Bakken L, Iversen PO. The impact of malaria during pregnancy on low birth weight in East Africa: a current affairs review. Malar J. 2021 Aug 24;20(1):348. doi: 10.1186/s12936-021-03883-z. PMID: 34429121; PMCID: PMC8386002.
  18. Jeena PM, Asharam K, Mitku AA, Naidoo P, Naidoo RN. Maternal demographic and prenatal factors, low birth weight and preterm birth: results from the Mother and Child in the Environment (MACE) cohort, Durban, South Africa. BMC Pregnancy delivery. 2020 Oct 16;20(1):628. doi: 10.1186/s12884-020-03328-6. PMID: 33076865; PMCID: PMC7574237.
  19. Islam MM, Ababneh F, Akter T, Khan HR. Prevalence, and risk factors for low birth weight in Jordan and its association with under-five mortality: a population-based analysis. East Mediterr Health J. 2020 Oct 13;26(10):1273-1284. doi: 10.26719/emhj.20.096. PMID: 33103755.
  20. Kargbo DK, Nyarko K, Sackey S, Addo-Lartey A, Kenu E, Anto F. Determinants of low-birth-weight deliveries in five referral hospitals in the urban district of the Western Zone, Sierra Leone. Ital J Pediatr. 2021 Oct 28;47(1):212. doi: 10.1186/s13052-021-01160-y. PMID: 34711248; PMCID: PMC8554995.
  21. Bater J, Lauer JM, Ghosh S, Webb P, Agaba E, Bashaasha B, Turyashemererwa FM, Shrestha R, Duggan CP. Predictors of low birth weight and preterm birth in rural Uganda: Findings from a birth cohort study. PLoS Un. 2020 Jul 13;15(7):e0235626. doi: 10.1371/journal.pone.0235626. PMID: 32658895; PMCID: PMC7357758.

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