Accuracy of Mothers' Perception of Birth Size to Predict Birth Weight Data in Bangladesh.
Agreement
Bangladesh
Birth size
Birth weight
Journal
Maternal and child health journal
ISSN: 1573-6628
Titre abrégé: Matern Child Health J
Pays: United States
ID NLM: 9715672
Informations de publication
Date de publication:
23 Aug 2024
23 Aug 2024
Historique:
accepted:
23
07
2024
medline:
23
8
2024
pubmed:
23
8
2024
entrez:
23
8
2024
Statut:
aheadofprint
Résumé
The prevalence of low birth weight (LBW) is an important indicator of child health and wellbeing. However, in many countries, decisions regarding care and treatment are often based on mothers' perceptions of their children's birth size due to a lack of objective birth weight data. Additionally, birth weight data that is self-reported or recorded often encounters the issue of heaping. This study assesses the concordance between the perceived birth size and the reported or recorded birth weight. We also investigate how the presence of heaped birth weight data affects this concordance, as well as the relationship between concordance and various sociodemographic factors. We examined 4,641 birth records reported in the 2019 Bangladesh Multiple Indicator Cluster Survey. The sensitivity-specificity analysis was performed to assess perceived birth size's ability to predict LBW, while Cohen's Kappa statistic assessed reliability. We used the kernel smoothing technique to correct heaping of birth weight data, as well as a multivariable multinomial logistic model to assess factors associated with concordance. Maternally-perceived birth size exhibited a low sensitivity (63.5%) and positive predictive value (52.6%) for predicting LBW, but a high specificity (90.1%) and negative predictive value (93.4%). There was 86.1% agreement between birth size and birth weight-based classifications (Kappa = 0.49, indicating moderate agreement). Smoothed birth weight data did not improve agreement (83.4%, Kappa = 0.45). Of the sociodemographic factors, early marriage was positively associated with discordance (i.e., overestimation). An important consideration when calculating the LBW prevalence is that maternally perceived birth size is not an optimal proxy for birth weight. Focus should be placed on encouraging institutional births and educating community health workers and young mothers about the significance of measuring and recording birth weight.
Identifiants
pubmed: 39177722
doi: 10.1007/s10995-024-03975-7
pii: 10.1007/s10995-024-03975-7
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© 2024. The Author(s).
Références
Acharya, P., Adhikari, S., & Adhikari, T. B. (2023). Mother’s perception of size at birth is a weak predictor of low birth weight: Evidence from Nepal demographic and Health Survey. PLOS ONE, 18(1), e0280788. https://doi.org/10.1371/journal.pone.0280788
doi: 10.1371/journal.pone.0280788
pubmed: 36693063
pmcid: 9873179
Bangladesh Bureau of Statistics (BBS) and UNICEF Bangladesh. (2019). Progotir Pathey, Bangladesh multiple Indicator Cluster Survey 2019, Survey findings Report. Issue December).
Belachew, A., & Tewabe, T. (2020). Neonatal sepsis and its association with birth weight and gestational age among admitted neonates in Ethiopia: Systematic review and meta-analysis. BMC Pediatrics, 20(1), 55. https://doi.org/10.1186/s12887-020-1949-x
doi: 10.1186/s12887-020-1949-x
pubmed: 32020850
pmcid: 7001294
Blanc, A. K., & Wardlaw, T. (2005). Monitoring low birth weight: An evaluation of international estimates and an updated estimation procedure. Bulletin of the World Health Organization, 83(3), 178–185. https://doi.org//S0042-96862005000300010
pubmed: 15798841
pmcid: 2624216
Bohnert, K. M., & Breslau, N. (2008). Stability of Psychiatric outcomes of Low Birth Weight: A longitudinal investigation. Archives of General Psychiatry, 65(9), 1080. https://doi.org/10.1001/archpsyc.65.9.1080
doi: 10.1001/archpsyc.65.9.1080
pubmed: 18762594
Channon, A. A. R. (2011). Can mothers judge the size of their newborn? Assessing the determinants of a mother’s perception of a baby’s size at birth. Journal of Biosocial Science, 43(5), 555–573. https://doi.org/10.1017/S0021932011000198
doi: 10.1017/S0021932011000198
pubmed: 21676278
Class, Q. A., Rickert, M. E., Lichtenstein, P., & D’Onofrio, B. M. (2014). Birth weight, physical morbidity, and mortality: A Population-based sibling-comparison study. American Journal of Epidemiology, 179(5), 550–558. https://doi.org/10.1093/aje/kwt304
doi: 10.1093/aje/kwt304
pubmed: 24355331
Ediriweera, D. S., Dilina, N., Perera, U., Flores, F., & Samita, S. (2017). Risk of low birth weight on adulthood hypertension - evidence from a tertiary care hospital in a south Asian country, Sri Lanka: A retrospective cohort study. Bmc Public Health, 17(1), 358. https://doi.org/10.1186/s12889-017-4268-x
doi: 10.1186/s12889-017-4268-x
pubmed: 28438199
pmcid: 5404310
Hack, M., Schluchter, M., Cartar, L., & Rahman, M. (2005). Blood pressure among very low Birth Weight (<1.5 kg) young adults. Pediatric Research, 58(4), 677–684. https://doi.org/10.1203/01.PDR.0000180551.93470.56
doi: 10.1203/01.PDR.0000180551.93470.56
pubmed: 16192252
Hilaire, M., Andrianou, X. D., Lenglet, A., Ariti, C., Charles, K., Buitenhuis, S., Van Brusselen, D., Roggeveen, H., Ledger, E., Denat, R. S., & Bryson, L. (2021). Growth and neurodevelopment in low birth weight versus normal birth weight infants from birth to 24 months, born in an obstetric emergency hospital in Haiti, a prospective cohort study. BMC Pediatrics, 21(1), 143. https://doi.org/10.1186/s12887-021-02605-3
doi: 10.1186/s12887-021-02605-3
pubmed: 33761917
pmcid: 7988959
Islam, M. M. (2014). Can maternal recalled birth size be used as a Proxy measure of Birth Weight? An evaluation based on a Population Health Survey in Oman. Maternal and Child Health Journal, 18(6), 1462–1470. https://doi.org/10.1007/s10995-013-1386-7
doi: 10.1007/s10995-013-1386-7
pubmed: 24166140
Khan, J. R., Islam, M. M., Awan, N., & Muurlink, O. (2018). Analysis of low birth weight and its co-variants in Bangladesh based on a sub-sample from nationally representative survey. BMC Pediatrics, 18(1), 100. https://doi.org/10.1186/s12887-018-1068-0
doi: 10.1186/s12887-018-1068-0
pubmed: 29510673
pmcid: 5840696
Khan, M. M. A., Mustagir, M. G., Islam, M. R., Kaikobad, M. S., & Khan, H. T. (2020). Exploring the association between adverse maternal circumstances and low birth weight in neonates: A nationwide population-based study in Bangladesh. British Medical Journal Open, 10(10), e036162. https://doi.org/10.1136/bmjopen-2019-036162
doi: 10.1136/bmjopen-2019-036162
Landis, J. R., & Koch, G. G. (1977). The measurement of Observer Agreement for Categorical Data. Biometrics, 33(1), 159. https://doi.org/10.2307/2529310
doi: 10.2307/2529310
pubmed: 843571
Mbuagbaw, L., & Gofin, R. (2010). Can recall of birth size be used as a measure of birthweight in Cameroon? Paediatric and Perinatal Epidemiology, 24(4), 383–389. https://doi.org/10.1111/j.1365-3016.2010.01128.x
doi: 10.1111/j.1365-3016.2010.01128.x
pubmed: 20618728
Nahid, F. (2014). Child marriage in Bangladesh: Socio-legal analysis. International Journal of Sociology and Anthropology, 6(1), 1–7. https://doi.org/10.5897/IJSA11.024
doi: 10.5897/IJSA11.024
Nigatu, D., Haile, D., Gebremichael, B., & Tiruneh, M., Y (2019). Predictive accuracy of perceived baby birth size for birth weight: A cross-sectional study from the 2016 Ethiopian demographic and Health Survey. British Medical Journal Open, 9(12), e031986. https://doi.org/10.1136/bmjopen-2019-031986
doi: 10.1136/bmjopen-2019-031986
Taylor, H. G., Minich, N. M., Klein, N., & Hack, M. (2004). Longitudinal outcomes of very low birth weight: Neuropsychological findings. Journal of the International Neuropsychological Society, 10(2), 149–163. https://doi.org/10.1017/S1355617704102038
doi: 10.1017/S1355617704102038
pubmed: 15012835