@article{ ISI:000306531700001,
  author = {Dykiert, Dominika and Bates, Timothy C. and Gow, Alan J. and Penke, Lars
   and Starr, John M. and Deary, Ian J.},
  title = {{Predicting Mortality From Human Faces}},
  journal = {{PSYCHOSOMATIC MEDICINE}},
  year = {{2012}},
  volume = {{74}},
  number = {{6}},
  pages = {{560-566}},
  month = {{JUL-AUG}},
  abstract = {{Objective: To investigate whether and to what extent mortality is
   predictable from facial photographs of older people. Methods:
   High-quality facial photographs of 292 members of the Lothian Birth
   Cohort 1921, taken at the age of about 83 years, were rated in terms of
   apparent age, health, attractiveness, facial symmetry, intelligence, and
   well-being by 12 young-adult raters. Cox proportional hazards regression
   was used to study associations between these ratings and mortality
   during a 7-year follow-up period. Results: All ratings had adequate
   reliability. Concurrent validity was found for facial symmetry and
   intelligence (as determined by correlations with actual measures of
   fluctuating asymmetry in the faces and Raven Standard Progressive
   Matrices score, respectively), but not for the other traits. Age as
   rated from facial photographs, adjusted for sex and chronological age,
   was a significant predictor of mortality (hazard ratio = 1.36, 95%
   confidence interval = 1.12-1.65) and remained significant even after
   controlling for concurrent, objectively measured health and cognitive
   ability, and the other ratings. Health as rated from facial photographs,
   adjusted for sex and chronological age, significantly predicted
   mortality (hazard ratio = 0.81, 95% confidence interval = 0.67-0.99)
   but not after adjusting for rated age or objectively measured health and
   cognition. Rated attractiveness, symmetry, intelligence, and well-being
   were not significantly associated with mortality risk. Conclusions:
   Rated age of the face is a significant predictor of mortality risk among
   older people, with predictive value over and above that of objective or
   rated health status and cognitive ability.}},
  doi = {{10.1097/PSY.0b013e318259c33f}},
  issn = {{0033-3174}},
  researcherid-numbers = {{Deary, Ian/C-6297-2009
   Gow, Alan/A-6070-2009}},
  unique-id = {{ISI:000306531700001}}
}

{"_id":"TGTwzxqgoptdKTwb2","authorIDs":["54759d84cb4bf04e39000c97"],"author_short":["Dykiert, D.","Bates, T.<nbsp>C.","Gow, A.<nbsp>J.","Penke, L.","Starr, J.<nbsp>M.","Deary, I.<nbsp>J."],"bibbaseid":"dykiert-bates-gow-penke-starr-deary-predictingmortalityfromhumanfaces-2012","bibdata":{"abstract":"Objective: To investigate whether and to what extent mortality is predictable from facial photographs of older people. Methods: High-quality facial photographs of 292 members of the Lothian Birth Cohort 1921, taken at the age of about 83 years, were rated in terms of apparent age, health, attractiveness, facial symmetry, intelligence, and well-being by 12 young-adult raters. Cox proportional hazards regression was used to study associations between these ratings and mortality during a 7-year follow-up period. Results: All ratings had adequate reliability. Concurrent validity was found for facial symmetry and intelligence (as determined by correlations with actual measures of fluctuating asymmetry in the faces and Raven Standard Progressive Matrices score, respectively), but not for the other traits. Age as rated from facial photographs, adjusted for sex and chronological age, was a significant predictor of mortality (hazard ratio = 1.36, 95% confidence interval = 1.12-1.65) and remained significant even after controlling for concurrent, objectively measured health and cognitive ability, and the other ratings. Health as rated from facial photographs, adjusted for sex and chronological age, significantly predicted mortality (hazard ratio = 0.81, 95% confidence interval = 0.67-0.99) but not after adjusting for rated age or objectively measured health and cognition. Rated attractiveness, symmetry, intelligence, and well-being were not significantly associated with mortality risk. Conclusions: Rated age of the face is a significant predictor of mortality risk among older people, with predictive value over and above that of objective or rated health status and cognitive ability.","author":["Dykiert, Dominika","Bates, Timothy C.","Gow, Alan J.","Penke, Lars","Starr, John M.","Deary, Ian J."],"author_short":["Dykiert, D.","Bates, T.<nbsp>C.","Gow, A.<nbsp>J.","Penke, L.","Starr, J.<nbsp>M.","Deary, I.<nbsp>J."],"bibtex":"@article{ ISI:000306531700001,\n author = {Dykiert, Dominika and Bates, Timothy C. and Gow, Alan J. and Penke, Lars\n and Starr, John M. and Deary, Ian J.},\n title = {{Predicting Mortality From Human Faces}},\n journal = {{PSYCHOSOMATIC MEDICINE}},\n year = {{2012}},\n volume = {{74}},\n number = {{6}},\n pages = {{560-566}},\n month = {{JUL-AUG}},\n abstract = {{Objective: To investigate whether and to what extent mortality is\n predictable from facial photographs of older people. Methods:\n High-quality facial photographs of 292 members of the Lothian Birth\n Cohort 1921, taken at the age of about 83 years, were rated in terms of\n apparent age, health, attractiveness, facial symmetry, intelligence, and\n well-being by 12 young-adult raters. Cox proportional hazards regression\n was used to study associations between these ratings and mortality\n during a 7-year follow-up period. Results: All ratings had adequate\n reliability. Concurrent validity was found for facial symmetry and\n intelligence (as determined by correlations with actual measures of\n fluctuating asymmetry in the faces and Raven Standard Progressive\n Matrices score, respectively), but not for the other traits. Age as\n rated from facial photographs, adjusted for sex and chronological age,\n was a significant predictor of mortality (hazard ratio = 1.36, 95%\n confidence interval = 1.12-1.65) and remained significant even after\n controlling for concurrent, objectively measured health and cognitive\n ability, and the other ratings. Health as rated from facial photographs,\n adjusted for sex and chronological age, significantly predicted\n mortality (hazard ratio = 0.81, 95% confidence interval = 0.67-0.99)\n but not after adjusting for rated age or objectively measured health and\n cognition. Rated attractiveness, symmetry, intelligence, and well-being\n were not significantly associated with mortality risk. Conclusions:\n Rated age of the face is a significant predictor of mortality risk among\n older people, with predictive value over and above that of objective or\n rated health status and cognitive ability.}},\n doi = {{10.1097/PSY.0b013e318259c33f}},\n issn = {{0033-3174}},\n researcherid-numbers = {{Deary, Ian/C-6297-2009\n Gow, Alan/A-6070-2009}},\n unique-id = {{ISI:000306531700001}}\n}","bibtype":"article","doi":"10.1097/PSY.0b013e318259c33f","id":"ISI:000306531700001","issn":"0033-3174","journal":"PSYCHOSOMATIC MEDICINE","key":"ISI:000306531700001","month":"JUL-AUG","number":"6","pages":"560-566","researcherid-numbers":"Deary, Ian/C-6297-2009 Gow, Alan/A-6070-2009","title":"Predicting Mortality From Human Faces","type":"article","unique-id":"ISI:000306531700001","volume":"74","year":"2012","bibbaseid":"dykiert-bates-gow-penke-starr-deary-predictingmortalityfromhumanfaces-2012","role":"author","urls":{},"downloads":0,"html":""},"bibtype":"article","biburl":"http://white.psych.bio.uni-goettingen.de:4000/plone4/en/it/team/saleh-al-shadly/my-bibtex/my-publication-list/at_download/file","creationDate":"2014-11-26T09:29:40.392Z","downloads":0,"keywords":[],"search_terms":["predicting","mortality","human","faces","dykiert","bates","gow","penke","starr","deary"],"title":"Predicting Mortality From Human Faces","year":2012,"dataSources":["ST9vNtTfAHRbyLTS9"]}