Publicación:
Prevalence of and factors associated with childhood anaemia in remote villages of the Peruvian Amazon: a cross-sectional study and geospatial analysis.

dc.contributor.authorMorocho-Alburqueque, Noelia
dc.contributor.authorQuincho-Lopez, Alvaro
dc.contributor.authorNesemann, John M.
dc.contributor.authorCañari Casaño, Jorge Luis
dc.contributor.authorElorreaga Reyes, Oliver Antonio
dc.contributor.authorMuñoz, Marleny
dc.contributor.authorTalero, Sandra
dc.contributor.authorHarding-Esch, Emma M.
dc.contributor.authorSaboyá-Díaz, Martha Idalí
dc.contributor.authorHonorio-Morales, Harvy A.
dc.contributor.authorDurand, Salomón
dc.contributor.authorCarey-Angeles, Cristiam A.
dc.contributor.authorKlausner, Jeffrey D.
dc.contributor.authorKeenan, Jeremy D.
dc.contributor.authorLescano Guevara, Andres Guillermo
dc.coverage.spatialLoreto, Perú
dc.date.accessioned2026-04-28T22:48:17Z
dc.date.issued2023
dc.description.abstractBACKGROUND: Anaemia is a public health problem in Peru. In the Loreto region of the Amazon, ≥50% of children may be anaemic, although insufficient information exists for rural villages. METHODS: To generate more data about childhood anaemia in the Peruvian Amazon, haemoglobin was measured as part of a trachoma survey in 21 randomly selected villages. All children 1-9 y of age from 30 randomly selected households per village were recruited. Anaemia was classified according to the World Health Organization guidelines and a socio-economic status (SES) index was created for each household using principal component analysis. Spatial autocorrelation was determined using Moran's I and Ripley's K function. RESULTS: Of 678 children with complete haemoglobin data, 25.4% (95% confidence interval [CI] 21.2 to 30.1) had mild-or-worse anaemia and 22.1% (95% CI 15.6 to 30.3) had moderate-or-worse anaemia. Mild-or-worse anaemia was more common among children whose primary source of drinking water was surface water (prevalence ratio [PR] 1.26 [95% CI 1.14 to 1.40], p<0.001) and who were in the lowest SES tercile (PR 1.16 [95% CI 1.02 to 1.32], p=0.021). Moderate-or-worse anaemia was more common among boys (PR 1.32 [95% CI 1.09 to 1.60], p=0.005). No evidence of geospatial clustering was found. CONCLUSIONS: Remote villages of the Amazon would benefit from interventions for childhood anaemia and the poorest households would have the most to gain. Integrating anaemia screening into neglected tropical diseases surveys is an opportunity to use public health resources more efficiently.en_US
dc.identifier.doihttps://doi.org/10.1093/trstmh/trad018
dc.identifier.scopus2-s2.0-85166442143
dc.identifier.urihttps://hdl.handle.net/20.500.12866/19180
dc.language.isoeng
dc.publisherOxford University Press
dc.relation.ispartofurn:issn:1878-3503
dc.relation.ispartofseriesTransactions of the Royal Society of Tropical Medicine and Hygiene
dc.relation.issn1878-3503
dc.rightshttp://purl.org/coar/access_right/c_14cb
dc.subjectanaemiaen_US
dc.subjectglobal healthen_US
dc.subjectPeruen_US
dc.subjectprevalenceen_US
dc.subjectrural healthen_US
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#3.03.06
dc.titlePrevalence of and factors associated with childhood anaemia in remote villages of the Peruvian Amazon: a cross-sectional study and geospatial analysis.en_US
dc.typeinfo:eu-repo/semantics/article
dc.type.localArtículo de revista
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublication

Archivos