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Live fast, die young and sleep later: Life history strategy and human sleep behavior

BACKGROUND AND OBJECTIVES: Life History Theory (LHT) describes trade-offs that organisms make with regard to three investment pathways: growth, maintenance and reproduction. In light of the reparative functions of sleep, we examine sleep behaviors and corresponding attitudes as proximate manifestati...

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Autores principales: Dishakjian, Vahe, Fessler, Daniel M T, Sparks, Adam Maxwell
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7953418/
https://www.ncbi.nlm.nih.gov/pubmed/33738102
http://dx.doi.org/10.1093/emph/eoaa048
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author Dishakjian, Vahe
Fessler, Daniel M T
Sparks, Adam Maxwell
author_facet Dishakjian, Vahe
Fessler, Daniel M T
Sparks, Adam Maxwell
author_sort Dishakjian, Vahe
collection PubMed
description BACKGROUND AND OBJECTIVES: Life History Theory (LHT) describes trade-offs that organisms make with regard to three investment pathways: growth, maintenance and reproduction. In light of the reparative functions of sleep, we examine sleep behaviors and corresponding attitudes as proximate manifestations of an individual’s underlying relative prioritization of short-term reproduction versus long-term maintenance. METHODOLOGY: We collected survey data from 568 participants across two online studies having different participant pools. We use a mixture of segmented and hierarchical regression models, structural equation modeling and machine learning to infer relationships between sleep duration/quality, attitudes about sleep and biodemographic/psychometric measures of life history strategy (LHS). RESULTS: An age-mediated U- or V-shaped relationship appears when LHS is plotted against habitual sleep duration, with the fastest strategies occupying the sections of the curve with the highest mortality risk: < 6.5 hr (short sleep) and > 8.5 hr (long sleep). LH ‘fastness’ is associated with increased sleepiness and worse overall sleep quality: delayed sleep onset latency, more wakefulness after sleep onset, higher sleep–wake instability and greater sleep duration variability. Hedonic valuations of sleep may mediate the effects of LHS on certain sleep parameters. CONCLUSIONS AND IMPLICATIONS: The costs of deprioritizing maintenance can be parameterized in the domain of sleep, where ‘life history fastness’ corresponds with sleep patterns associated with greater senescence and mortality. Individual differences in sleep having significant health implications can thus be understood as components of lifelong trajectories likely stemming from calibration to developmental circumstances. Relatedly, hedonic valuations of sleep may constitute useful avenues for non-pharmacological management of chronic sleep disorders. Lay Summary: Sleep is essential because it allows the body to repair and maintain itself. But time spent sleeping is time that cannot be spent doing other things. People differ in how much they prioritize immediate rewards, including sociosexual opportunities, versus long-term goals. In this research, we show that individual differences in sleep behaviors, and attitudes toward sleep, correspond with psychological and behavioral differences reflecting such differing priorities. Orientation toward sleep can thus be understood as part of the overall lifetime strategies that people pursue.
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spelling pubmed-79534182021-03-17 Live fast, die young and sleep later: Life history strategy and human sleep behavior Dishakjian, Vahe Fessler, Daniel M T Sparks, Adam Maxwell Evol Med Public Health Original Research Article BACKGROUND AND OBJECTIVES: Life History Theory (LHT) describes trade-offs that organisms make with regard to three investment pathways: growth, maintenance and reproduction. In light of the reparative functions of sleep, we examine sleep behaviors and corresponding attitudes as proximate manifestations of an individual’s underlying relative prioritization of short-term reproduction versus long-term maintenance. METHODOLOGY: We collected survey data from 568 participants across two online studies having different participant pools. We use a mixture of segmented and hierarchical regression models, structural equation modeling and machine learning to infer relationships between sleep duration/quality, attitudes about sleep and biodemographic/psychometric measures of life history strategy (LHS). RESULTS: An age-mediated U- or V-shaped relationship appears when LHS is plotted against habitual sleep duration, with the fastest strategies occupying the sections of the curve with the highest mortality risk: < 6.5 hr (short sleep) and > 8.5 hr (long sleep). LH ‘fastness’ is associated with increased sleepiness and worse overall sleep quality: delayed sleep onset latency, more wakefulness after sleep onset, higher sleep–wake instability and greater sleep duration variability. Hedonic valuations of sleep may mediate the effects of LHS on certain sleep parameters. CONCLUSIONS AND IMPLICATIONS: The costs of deprioritizing maintenance can be parameterized in the domain of sleep, where ‘life history fastness’ corresponds with sleep patterns associated with greater senescence and mortality. Individual differences in sleep having significant health implications can thus be understood as components of lifelong trajectories likely stemming from calibration to developmental circumstances. Relatedly, hedonic valuations of sleep may constitute useful avenues for non-pharmacological management of chronic sleep disorders. Lay Summary: Sleep is essential because it allows the body to repair and maintain itself. But time spent sleeping is time that cannot be spent doing other things. People differ in how much they prioritize immediate rewards, including sociosexual opportunities, versus long-term goals. In this research, we show that individual differences in sleep behaviors, and attitudes toward sleep, correspond with psychological and behavioral differences reflecting such differing priorities. Orientation toward sleep can thus be understood as part of the overall lifetime strategies that people pursue. Oxford University Press 2020-12-02 /pmc/articles/PMC7953418/ /pubmed/33738102 http://dx.doi.org/10.1093/emph/eoaa048 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of the Foundation for Evolution, Medicine, and Public Health. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research Article
Dishakjian, Vahe
Fessler, Daniel M T
Sparks, Adam Maxwell
Live fast, die young and sleep later: Life history strategy and human sleep behavior
title Live fast, die young and sleep later: Life history strategy and human sleep behavior
title_full Live fast, die young and sleep later: Life history strategy and human sleep behavior
title_fullStr Live fast, die young and sleep later: Life history strategy and human sleep behavior
title_full_unstemmed Live fast, die young and sleep later: Life history strategy and human sleep behavior
title_short Live fast, die young and sleep later: Life history strategy and human sleep behavior
title_sort live fast, die young and sleep later: life history strategy and human sleep behavior
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7953418/
https://www.ncbi.nlm.nih.gov/pubmed/33738102
http://dx.doi.org/10.1093/emph/eoaa048
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