Predicting mortality from 57 economic, behavioral, social, and psychological factors.
behavioral
data-driven
mortality
social
transdisciplinary
Journal
Proceedings of the National Academy of Sciences of the United States of America
ISSN: 1091-6490
Titre abrégé: Proc Natl Acad Sci U S A
Pays: United States
ID NLM: 7505876
Informations de publication
Date de publication:
14 07 2020
14 07 2020
Historique:
pubmed:
24
6
2020
medline:
24
9
2020
entrez:
24
6
2020
Statut:
ppublish
Résumé
Behavioral and social scientists have identified many nonbiological predictors of mortality. An important limitation of much of this research, however, is that risk factors are not studied in comparison with one another or from across different fields of research. It therefore remains unclear which factors should be prioritized for interventions and policy to reduce mortality risk. In the current investigation, we compare 57 factors within a multidisciplinary framework. These include (
Identifiants
pubmed: 32571904
pii: 1918455117
doi: 10.1073/pnas.1918455117
pmc: PMC7369318
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
16273-16282Subventions
Organisme : NIA NIH HHS
ID : U01 AG009740
Pays : United States
Organisme : NICHD NIH HHS
ID : T32 HD007242
Pays : United States
Organisme : NIA NIH HHS
ID : R24 AG048024
Pays : United States
Organisme : NIA NIH HHS
ID : P01 AG020166
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG019239
Pays : United States
Organisme : NIA NIH HHS
ID : K01 AG047280
Pays : United States
Informations de copyright
Copyright © 2020 the Author(s). Published by PNAS.
Déclaration de conflit d'intérêts
The authors declare no competing interest.
Références
Lancet. 2015 Aug 8;386(9993):533-40
pubmed: 26049253
Atherosclerosis. 2018 Feb;269:172-177
pubmed: 29366990
Am J Epidemiol. 2013 Sep 15;178(6):858-63
pubmed: 24008902
Annu Rev Sociol. 2010 Aug 1;36:139-157
pubmed: 21921974
Aging (Albany NY). 2017 Dec 6;9(12):2504-2520
pubmed: 29227965
JAMA. 2004 Mar 10;291(10):1238-45
pubmed: 15010446
Annu Rev Public Health. 2009;30:27-41
pubmed: 19705554
PLoS Med. 2010 Jul 27;7(7):e1000316
pubmed: 20668659
Proc Natl Acad Sci U S A. 2016 Oct 18;113(42):E6335-E6342
pubmed: 27698131
J Nerv Ment Dis. 2006 Sep;194(9):676-83
pubmed: 16971819
Am J Prev Med. 2008 Aug;35(2 Suppl):S211-24
pubmed: 18619402
Stat Med. 2012 Sep 28;31(22):2569-75
pubmed: 22969025
PLoS Med. 2019 Jun 18;16(6):e1002827
pubmed: 31211779
Am J Prev Med. 2009 Nov;37(5):389-96
pubmed: 19840693
Psychol Sci. 2016 Apr;27(4):518-29
pubmed: 26917212
PLoS One. 2016 Jan 27;11(1):e0146058
pubmed: 26815788
JAMA. 2014 Jun 4;311(21):2173-4
pubmed: 24893084
Proc Natl Acad Sci U S A. 2013 Sep 10;110(37):15031-6
pubmed: 23980165
Child Abuse Negl. 2004 Jul;28(7):729-37
pubmed: 15261468
Public Health Rev. 2010 Nov;32(2):489-511
pubmed: 24639598
Perspect Psychol Sci. 2010 Jul;5(4):356-77
pubmed: 26162183
Am J Epidemiol. 2013 Sep 1;178(5):667-75
pubmed: 23911610
JAMA. 1993 Nov 10;270(18):2207-12
pubmed: 8411605
Bioinformatics. 2012 Jan 1;28(1):112-8
pubmed: 22039212
Am J Public Health. 2008 Jul;98(7):1241-7
pubmed: 18511732
Psychol Rep. 2010 Oct;107(2):425-40
pubmed: 21117468
J Pers Soc Psychol. 2010 Dec;99(6):1025-41
pubmed: 20939649
J Pers Disord. 1997 Spring;11(1):19-33
pubmed: 9113820
Psychol Sci. 2017 Sep;28(9):1345-1357
pubmed: 28703694
Int J Epidemiol. 2013 Dec;42(6):1795-810
pubmed: 24345851
Lancet. 2017 Apr 1;389(10076):1323-1335
pubmed: 28236464
BMC Public Health. 2014 Jan 09;14:17
pubmed: 24406139
PLoS One. 2010 May 20;5(5):e10746
pubmed: 20505766
Demography. 2009 May;46(2):387-403
pubmed: 21305399
Hum Genet. 2013 May;132(5):553-61
pubmed: 23354976
J Child Psychol Psychiatry. 2004 Feb;45(2):260-73
pubmed: 14982240