dc.creatorMartinez, Jorge Ivan
dc.creatorFigueroa, Marcelo Isidro
dc.creatorAlfaro Gómez, Emma Laura
dc.creatorDipierri, Jose Edgardo
dc.date.accessioned2021-09-22T14:02:40Z
dc.date.accessioned2022-10-15T06:35:33Z
dc.date.available2021-09-22T14:02:40Z
dc.date.available2022-10-15T06:35:33Z
dc.date.created2021-09-22T14:02:40Z
dc.date.issued2021-05
dc.identifierMartinez, Jorge Ivan; Figueroa, Marcelo Isidro; Alfaro Gómez, Emma Laura; Dipierri, Jose Edgardo; Newborn anthropometry, maternal capital, and altitude in the highland population from the province of Jujuy, Argentina; Wiley-liss, div John Wiley & Sons Inc.; American Journal Of Physical Anthropology; 175; 1; 5-2021; 25-35
dc.identifier0002-9483
dc.identifierhttp://hdl.handle.net/11336/141145
dc.identifierCONICET Digital
dc.identifierCONICET
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4355930
dc.description.abstractObjective: To analyze variability in newborn (NB) anthropometry among Jujenean NBs as a function of geographic altitude (500 m to ≈4000 masl), maternal anthropometry and other maternal characteristics within the maternal capital framework. Materials and methods: Data obtained from 41,371 mother/child pairs recorded in the Jujuy Perinatal Information System (SIP) between 2009 and 2014, including: NB and maternal weight, length/height and BMI; gestational age (corrected); maternal age, educational level, nutritional status, and marital status; birth interval; and planned pregnancy. Based on the declared place of residence, the prevalence of unsatisfied basic needs (% UBN) was determined and the data was split into two altitudinal groups: highlands (HL, >2500 masl) and lowlands (LL, <2500 masl). ANOVA, Chi-squared and Pearson tests were applied as needed. Statistical associations between the response variables—NB weight, length and BMI—and maternal and environmental variables were tested using a Generalized Additive Mixed Model (GAMM). Results: All NB and maternal anthropometric variables were lower in HL compared to LL; they also presented negative correlations with altitude, except NB length. Apart from gestational age and birth interval, HL and LL presented statistically significant differences in all study variables. GAMM results showed that maternal anthropometry was the main influence on NB weight and length. Discussion: Of all the maternal capital features examined, only maternal anthropometric variables were found to protect offspring against the negative impact of HL environments.
dc.languageeng
dc.publisherWiley-liss, div John Wiley & Sons Inc.
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1002/ajpa.24215
dc.relationinfo:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/full/10.1002/ajpa.24215
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectALTITUDE
dc.subjectMATERNAL HEALTH
dc.subjectNEWBORNS
dc.subjectNUTRITIONAL STATUS
dc.titleNewborn anthropometry, maternal capital, and altitude in the highland population from the province of Jujuy, Argentina
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:ar-repo/semantics/artículo
dc.typeinfo:eu-repo/semantics/publishedVersion


Este ítem pertenece a la siguiente institución