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      Girls in early childhood increase food returns of nursing women during subsistence activities of the BaYaka in the Republic of Congo

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          Abstract

          Nursing mothers face an energetic trade-off between infant care and work. Under pooled energy budgets, this trade-off can be reduced by assistance in food acquisition and infant care tasks from non-maternal carers. Across cultures, children also often provide infant care. Yet the question of who helps nursing mothers during foraging has been understudied, especially the role of children. Using focal follow data from 140 subsistence expeditions by BaYaka women in the Republic of Congo, we investigated how potential support from carers increased mothers' foraging productivity. We found that the number of girls in early childhood (ages 4–7 years) in subsistence groups increased food returns of nursing women with infants (kcal collected per minute). This effect was stronger than that of other adult women, and older girls in middle childhood (ages 8–13 years) and adolescence (ages 14–19 years). Child helpers were not necessarily genetically related to nursing women. Our results suggest that it is young girls who provide infant care while nursing mothers are acquiring food—by holding, monitoring and playing with infants—and, thus, that they also contribute to the energy pool of the community during women's subsistence activities. Our study highlights the critical role of children as carers from early childhood.

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          Most cited references54

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          brms: An R Package for Bayesian Multilevel Models Using Stan

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            Random effects structure for confirmatory hypothesis testing: Keep it maximal.

            Linear mixed-effects models (LMEMs) have become increasingly prominent in psycholinguistics and related areas. However, many researchers do not seem to appreciate how random effects structures affect the generalizability of an analysis. Here, we argue that researchers using LMEMs for confirmatory hypothesis testing should minimally adhere to the standards that have been in place for many decades. Through theoretical arguments and Monte Carlo simulation, we show that LMEMs generalize best when they include the maximal random effects structure justified by the design. The generalization performance of LMEMs including data-driven random effects structures strongly depends upon modeling criteria and sample size, yielding reasonable results on moderately-sized samples when conservative criteria are used, but with little or no power advantage over maximal models. Finally, random-intercepts-only LMEMs used on within-subjects and/or within-items data from populations where subjects and/or items vary in their sensitivity to experimental manipulations always generalize worse than separate F 1 and F 2 tests, and in many cases, even worse than F 1 alone. Maximal LMEMs should be the 'gold standard' for confirmatory hypothesis testing in psycholinguistics and beyond.
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              Simple means to improve the interpretability of regression coefficients

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: Funding acquisitionRole: Project administrationRole: SupervisionRole: Writing – review & editing
                Role: Data curationRole: Project administrationRole: Writing – review & editing
                Role: ConceptualizationRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Journal
                Proc Biol Sci
                Proc Biol Sci
                RSPB
                royprsb
                Proceedings of the Royal Society B: Biological Sciences
                The Royal Society
                0962-8452
                1471-2954
                November 30, 2022
                November 16, 2022
                November 16, 2022
                : 289
                : 1987
                : 20221407
                Affiliations
                [ 1 ] Department of Human Behavior, Ecology and Culture, Max Planck Institute for Evolutionary Anthropology, , 04103 Leipzig, Germany
                [ 2 ] Department of Evolutionary and Population Biology, Institute of Biodiversity and Ecosystem Dynamics, Faculty of Science, University of Amsterdam, , 94248 Amsterdam, The Netherlands
                [ 3 ] Department of Cognitive Psychology, Faculty of Social and Behavioral Sciences, Leiden University, , 2333 Leiden, The Netherlands
                Author notes

                Electronic supplementary material is available online at https://doi.org/10.6084/m9.figshare.c.6296293.

                Author information
                http://orcid.org/0000-0001-5994-6413
                Article
                rspb20221407
                10.1098/rspb.2022.1407
                9667358
                36382518
                54e46dfb-2739-49bd-9de4-6b4e12a7e30d
                © 2022 The Authors.

                Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.

                History
                : July 25, 2022
                : November 1, 2022
                Funding
                Funded by: Leakey Foundation, http://dx.doi.org/10.13039/100005966;
                Award ID: 2015
                Categories
                1001
                14
                Behaviour
                Research Articles
                Custom metadata
                November 30, 2022

                Life sciences
                allomaternal care,cooperative subsistence activities,child helpers,age-graded cooperation,pooled energy model

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