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1.
Hum Nat ; 31(1): 43-67, 2020 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-31898017

RESUMO

Variation in the durations of exclusive breastfeeding (exBF) and any breastfeeding (anyBF) is associated with socioecological factors. This plasticity in breastfeeding behavior appears adaptive, but the mechanisms involved are unclear. With this concept in mind, we investigated whether durations of exBF and anyBF in a rural Maya population covary with markers of a form of socioecological change-market integration-and whether individual factors (individual learning, physiological plasticity) and/or learning from others in the community (social learning, norm adherence) mediate these changes. Using data from 419 mother-child pairs from two Guatemalan Maya villages, we fit a bivariate linear mixed model. The model compared exBF and anyBF among children from households of varying degrees of market integration whose mothers follow what we inferred to be local infant-feeding norms. It controlled for other factors expected to affect breastfeeding durations. We found evidence that exBF is associated with whether mothers follow their population's infant feeding norms, but no evidence that exBF is associated with the household's level of market integration. Conversely, anyBF is significantly associated with the household's market integration, but not with the villages' inferred norms. Because deviations from exBF norms are likely to result in infant mortality and reduced fitness, we hypothesize that the incentive to conform is relatively strong. Relatively greater individual plasticity in anyBF allows mother-child pairs to tailor it to socioecological conditions. Deviations from anyBF norms may be tolerated because they may provide later-life health/fitness payoffs, while posing few risks to infant survival.


Assuntos
Aleitamento Materno/etnologia , Conhecimentos, Atitudes e Prática em Saúde/etnologia , Mães , Aprendizado Social , Adulto , Feminino , Guatemala/etnologia , Humanos , Lactente , Fatores de Tempo
2.
Am J Phys Anthropol ; 162(4): 616-626, 2017 04.
Artigo em Inglês | MEDLINE | ID: mdl-27808397

RESUMO

OBJECTIVES: The causes of variation in breastfeeding duration in humans are poorly understood, but life history factors related to maternal energetics drive much of the variation in lactation duration in nonhuman animals. With this in mind, we investigated whether four energy-related factors influence variation in breastfeeding duration in a non-industrial human population: (1) mortality risk during mother's development (assessed via mother's adult height), (2) reliance on nutrient-dense weaning foods, (3) access to and need for help with infant feeding and care ("allomaternal care"), and (4) maternal tradeoffs between current and future reproduction (measured via child's birth order). MATERIALS AND METHODS: The data pertain to 51 Kakchiquel-speaking Maya mothers and 283 children from a village in rural Guatemala. We developed a linear mixed model to evaluate the relationships between breastfeeding duration and the energy-related factors. RESULTS: Duration of breastfeeding was associated with two of the energy-related factors in the ways we predicted but not with the other two. Contrary to predictions, taller mothers breastfed for shorter periods and we found no evidence that weanling diet quality impacts breastfeeding duration. As predicted, women who had more help with infants breastfed for shorter periods, and later-born infants breastfed longer than earlier-born ones. DISCUSSION: The results regarding allomaternal care suggest that help reduces mothers' lactation demands. The energy saved may be redirected to increasing fecundity or investment in other children. The birth order result suggests that children born to mothers nearing reproductive senescence receive higher levels of investment, which likely impacts children's fitness.


Assuntos
Aleitamento Materno/etnologia , Indígenas Centro-Americanos/etnologia , Desmame/etnologia , Antropologia Física , Estatura , Metabolismo Energético , Feminino , Guatemala/etnologia , Humanos , População Rural , Fatores de Tempo
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