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Record W2990039711 · doi:10.1016/j.gaceta.2019.09.002

Asociación entre lactancia materna y probabilidad de obesidad en la infancia en tres países latinoamericanos

2019· article· es· W2990039711 on OpenAlexfundno aff
Ada Paca-Palao, Carlos A. Huayanay-Espinoza, Diana C. Parra, Gustavo Velásquez-Meléndez, J. Jaime Miranda

Bibliographic record

VenueGaceta Sanitaria · 2019
Typearticle
Languagees
FieldMedicine
TopicBreastfeeding Practices and Influences
Canadian institutionsnot available
FundersNational Cancer InstituteFogarty International CenterNational Institute of Mental HealthNational Heart, Lung, and Blood InstituteMedical Research CouncilAlliance for Health Policy and Systems ResearchInstituto Colombiano de Bienestar FamiliarHarvard T.H. Chan School of Public HealthInter-American Institute for Global Change ResearchConsejo Nacional de Ciencia, Tecnología e Innovación TecnológicaWorld Diabetes FoundationNational Science FoundationGrand Challenges CanadaNational Institutes of HealthSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungInternational Development Research CentreBloomberg PhilanthropiesWellcome Trust
KeywordsMedicineHumanitiesGynecologyDemographyPhilosophy

Abstract

fetched live from OpenAlex

Determinar si la lactancia materna ≥ 6 meses se asocia con menor sobrepeso y obesidad en niños/as de 2 a 5 años de edad. Análisis transversal de datos de encuestas nacionales de demografía y salud de Bolivia, Colombia y Perú. Se definieron sobrepeso y obesidad según los criterios de la Organización Mundial de la Salud. Se calculó la odds ratio (OR) utilizando regresión logística multinomial. La prevalencia de obesidad en niños/as de 2 a 5 años fue del 10,4% (intervalo de confianza del 95% [IC95%]: 8,2-12,6) en Bolivia, del 4,9% (IC95%: 4,0-5,8) en Colombia y del 6,4% (IC95%: 5,2-8,0) en Perú. La lactancia materna ≥ 6 meses en la población estudiada fue del 89,9% (IC95%: 87,8-91,9) en Bolivia, del 73,9% (IC95%: 72,2-75,6) en Colombia y del 92,8% (IC95%: 91,2-94,4) en Perú. Se encontró evidencia de asociación entre lactancia materna ≥ 6 meses y menor posibilidad de obesidad en comparación con no lactancia o lactancia < 6 meses para Bolivia (OR = 0,30; IC95%: 0,16-0,57), y una asociación marginal para Colombia (OR = 0,71; IC95%: 0,47-1,06) y Perú (OR = 0,49; IC95%: 0,23-1,04). No hubo evidencia de asociación entre lactancia materna y sobrepeso. La lactancia materna ≥ 6 meses está asociada con una menor posibilidad de tener obesidad en niños/as de 2 a 5 años en Bolivia. Este patrón fue similar, pero marginal, para Colombia y Perú. To determine if breastfeeding for at least the first six months of life is associated with overweight and obesity in children 2 to 5 years old. Cross sectional analysis of data from national demographic and health surveys conducted in Bolivia, Colombia and Peru. Overweight and obesity were defined using World Health Organization standard definitions. Odds ratios (OR) were calculated using multinomial logistic regression. The prevalence of obesity in children 2 to 5 years old was 10.4% (95% confidence interval [95%CI]: 8.2-12.6) in Bolivia, 4.9% in Colombia (95%CI: 4.0-5.8), and 6.4% (95%CI: 5.2-8.0) in Peru. Prevalence of exclusive breastfeeding for at least the first 6 months in the study population was 89.9% (95%CI: 87.8-91.9) in Bolivia, 73.9% (95%CI: 72.2-75.6) in Colombia, and 92.8% (95%CI: 91.2-92.4) in Peru. Exclusive breastfeeding was associated with a decreased risk of obesity in children as compared to no breastfeeding or breastfeeding for less than 6 months in Bolivia (OR = .30; 95%CI: .16-.57) and a marginal association in Colombia (OR = .71; 95%CI: .47-1.06) and Peru (OR = .49; 95%CI: 0.23-1.04). No association between breastfeeding and overweight was found. Exclusive breastfeeding for at least the first six months of life decreases the risk of obesity in children 2 to 5 years old in Bolivia. A similar but weaker pattern was observed for children in Colombia and Peru.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.119
Threshold uncertainty score0.236

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.005
GPT teacher head0.263
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations11
Published2019
Admission routes1
Has abstractyes

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