Social determinants of health and survival in humans and other animals

Noah Snyder-Mackler; Joseph Robert Burger; Lauren Gaydosh; Daniel W. Belsky; Grace A. Noppert; Fernando A. Campos; Alessandro Bartolomucci; Yang Claire Yang; Allison E. Aiello; Angela O'Rand; Kathleen Mullan Harris; Carol A. Shively; Susan C. Alberts; Jenny Tung

doi:10.1126/science.aax9553

Social determinants of health and survival in humans and other animals

Noah Snyder-Mackler
, Joseph Robert Burger
, Lauren Gaydosh
, Daniel W. Belsky
, Grace A. Noppert
, Fernando A. Campos
, Alessandro Bartolomucci
, Yang Claire Yang
, Allison E. Aiello
, Angela O'Rand
, Kathleen Mullan Harris
, Carol A. Shively
, Susan C. Alberts
, Jenny Tung

Research output: Contribution to journal › Review article › peer-review

530 Scopus citations

Abstract

The social environment, both in early life and adulthood, is one of the strongest predictors of morbidity and mortality risk in humans. Evidence from long-term studies of other social mammals indicates that this relationship is similar across many species. In addition, experimental studies show that social interactions can causally alter animal physiology, disease risk, and life span itself. These findings highlight the importance of the social environment to health and mortality as well as Darwinian fitness-outcomes of interest to social scientists and biologists alike. They thus emphasize the utility of cross-species analysis for understanding the predictors of, and mechanisms underlying, social gradients in health.

Original language	English
Article number	aax9553
Journal	Science
Volume	368
Issue number	6493
DOIs	https://doi.org/10.1126/science.aax9553
State	Published - May 22 2020

Bibliographical note

Publisher Copyright:
© 2020 American Association for the Advancement of Science. All rights reserved.

Funding

The Triangle Area Social and Biological Determinants of Health Working Group is supported by the Duke Center for Population Health and Aging (with funding from NIH P30AG034424), the Carolina Population Center (with funding from NIH P2C HD050924), the Triangle Center for Evolutionary Medicine, and the Duke Social Sciences Research Institute. This work was also supported by NIH grants R01AG057235, R01HD088558, and R01GM102562 to J.T.; R00AG051764, R01AG060931, and T32AG000139 to N.S.-M.; R01HL087103 to C.A.S.; R01AG057800 to Y.C.Y; R24AG065172 to J.T., A.B., and K.M.H.; R01AG053308 and P01AG031719 to S.C.A.; P01HD031921 and R01HD087061 to K.M.H.; F32HD084117 to L.G.; R01DK102496 to A.B.; R01MD013349, R01MD011728, and T32HD091058 to A.E.A.; a Human Frontier Science Program Research Grant to J.T.; a Minnesota Partnership for Biotechnology and Medical Genomics 18.04 to A.B.; and a Jacobs Foundation Early Career Fellowship to D.W.B.; G.A.N. received support from NIH T32HD091058 and NIH 1K99AG062749-01A1, L.G. received support from NIH T32HD007168, J.R.B. received support from the Bridging Biodiversity and Conservation Science program at the University of Arizona, and G.A.N. and N.S.-M. received support from NIH T32AG000029.

Funders	Funder number
Duke Social Sciences Research Institute	P01AG031719, R01HD088558, R01MD011728, R01DK102496, R01MD013349, R01AG057235, R01AG057800, R00AG051764, T32HD091058, T32AG000139, F32HD084117, P01HD031921, R24AG065172, R01AG053308, R01AG060931, R01HL087103, R01GM102562
National Institutes of Health (NIH)	P30AG034424
National Institutes of Health (NIH)
NIH National Institute of Child Health and Human Development National Center for Medical Rehabilitation Research	R01HD087061
NIH National Institute of Child Health and Human Development National Center for Medical Rehabilitation Research
University of Northern Arizona	T32AG000029
University of Northern Arizona
Carolina Population Center, University of North Carolina at Chapel Hill	P2C HD050924
Carolina Population Center, University of North Carolina at Chapel Hill
Triangle Comparative and Evolutionary Medicine Center, Duke University
Jacobs Foundation	1K99AG062749-01A1, T32HD007168
Jacobs Foundation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

ASJC Scopus subject areas

General

Access to Document

10.1126/science.aax9553

Cite this

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title = "Social determinants of health and survival in humans and other animals",

abstract = "The social environment, both in early life and adulthood, is one of the strongest predictors of morbidity and mortality risk in humans. Evidence from long-term studies of other social mammals indicates that this relationship is similar across many species. In addition, experimental studies show that social interactions can causally alter animal physiology, disease risk, and life span itself. These findings highlight the importance of the social environment to health and mortality as well as Darwinian fitness-outcomes of interest to social scientists and biologists alike. They thus emphasize the utility of cross-species analysis for understanding the predictors of, and mechanisms underlying, social gradients in health.",

author = "Noah Snyder-Mackler and Burger, \{Joseph Robert\} and Lauren Gaydosh and Belsky, \{Daniel W.\} and Noppert, \{Grace A.\} and Campos, \{Fernando A.\} and Alessandro Bartolomucci and Yang, \{Yang Claire\} and Aiello, \{Allison E.\} and Angela O'Rand and Harris, \{Kathleen Mullan\} and Shively, \{Carol A.\} and Alberts, \{Susan C.\} and Jenny Tung",

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month = may,

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doi = "10.1126/science.aax9553",

language = "English",

volume = "368",

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AU - Burger, Joseph Robert

AU - Gaydosh, Lauren

AU - Belsky, Daniel W.

AU - Noppert, Grace A.

AU - Campos, Fernando A.

AU - Bartolomucci, Alessandro

AU - Yang, Yang Claire

AU - Aiello, Allison E.

AU - O'Rand, Angela

AU - Harris, Kathleen Mullan

AU - Shively, Carol A.

AU - Alberts, Susan C.

AU - Tung, Jenny

PY - 2020/5/22

Y1 - 2020/5/22

N2 - The social environment, both in early life and adulthood, is one of the strongest predictors of morbidity and mortality risk in humans. Evidence from long-term studies of other social mammals indicates that this relationship is similar across many species. In addition, experimental studies show that social interactions can causally alter animal physiology, disease risk, and life span itself. These findings highlight the importance of the social environment to health and mortality as well as Darwinian fitness-outcomes of interest to social scientists and biologists alike. They thus emphasize the utility of cross-species analysis for understanding the predictors of, and mechanisms underlying, social gradients in health.

AB - The social environment, both in early life and adulthood, is one of the strongest predictors of morbidity and mortality risk in humans. Evidence from long-term studies of other social mammals indicates that this relationship is similar across many species. In addition, experimental studies show that social interactions can causally alter animal physiology, disease risk, and life span itself. These findings highlight the importance of the social environment to health and mortality as well as Darwinian fitness-outcomes of interest to social scientists and biologists alike. They thus emphasize the utility of cross-species analysis for understanding the predictors of, and mechanisms underlying, social gradients in health.

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AN - SCOPUS:85085157496

SN - 0036-8075

VL - 368

JO - Science

JF - Science

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M1 - aax9553

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Social determinants of health and survival in humans and other animals

Abstract

Bibliographical note

Funding

UN SDGs

ASJC Scopus subject areas

Access to Document

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Cite this