Newborn anthropometry, maternal capital, and altitude in the highland population from the province of Jujuy, Argentina
Bibliographic Data
| ID | 8317037 |
|---|---|
| Authors | Jorge Ivan Martinez (0000-0001-9051-5451, Consejo Nacional de Investigaciones Científicas y Técnicas), Marcelo I Figueroa (0000-0002-3478-3969, Consejo Nacional de Investigaciones Científicas y Técnicas), Emma Laura Alfaro Gómez (Consejo Nacional de Investigaciones Científicas y Técnicas), José E Dipierri (0000-0002-1679-0727, National University of Jujuy, corresponding author) |
| Year | 2021 |
| Volume | 175 |
| Issue | 1 |
| Pages | 25-35 |
| Publication date | 2021-05-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | American Journal of Physical Anthropology (JOURNAL) |
| Journal identifiers | ISSN: 0002-9483 • E-ISSN: 1096-8644 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/ajpa.24215 |
| PMID | 33368163 |
| OpenAlex | W3114757299 |
| Language | EN |
| Citations received | 2 |
| References cited | 46 |
OBJECTIVE: 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
Altitude (triangle) · Anthropometry · Biology · Birth weight · Geography · Gestational age · Marital status · Obesity · Overweight · Population · Pregnancy · Demography · Endocrinology · Gestational Diabetes Research and Management · Internal Medicine · Maternal and Neonatal Healthcare · Mathematics · Medicine · Pregnancy and preeclampsia studies
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| Unique citing works | 2 |
|---|---|
| Citations per year | 0,5 |
| Citation span | 2022 - 2025 (4) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 2 |