Quantification of biological aging in young adults
Belsky DW, Caspi A, Houts R, Cohen HJ, Corcoran DL, Danese A, Harrington H, Israel S, Levine ME, Schaefer JD, Sugden K, Williams B, Yashin AI, Poulton R, Moffitt TE. Quantification of biological aging in young adults. Proceedings Of The National Academy Of Sciences Of The United States Of America 2015, 112: e4104-e4110. PMID: 26150497, PMCID: PMC4522793, DOI: 10.1073/pnas.1506264112.Peer-Reviewed Original ResearchConceptsYoung adultsYoung humansSame chronological ageSelf-reported bad healthCognitive declineOlder adultsBiological agingYoung individualsChronological ageMultiple organ systemsBrain agingLongitudinal measuresAge-related diseasesChronic diseasesAdultsFourth decadeBirth cohortOrgan systemsWorse healthIndividualsRejuvenation therapyTime pointsHuman agingMultiple biomarkersTherapyEarly-Life Intelligence Predicts Midlife Biological Age
Schaefer JD, Caspi A, Belsky DW, Harrington H, Houts R, Israel S, Levine ME, Sugden K, Williams B, Poulton R, Moffitt TE. Early-Life Intelligence Predicts Midlife Biological Age. The Journals Of Gerontology Series B 2015, 71: 968-977. PMID: 26014827, PMCID: PMC5067943, DOI: 10.1093/geronb/gbv035.Peer-Reviewed Original ResearchConceptsBiological ageEarly-life intelligencePopulation-representative birth cohortNutrition Examination SurveyRates of morbidityMost age-related diseasesAdvanced biological ageHeart ageExamination SurveyAge-related diseasesNational HealthChildhood healthBirth cohortParental socioeconomic statusStudy membersDunedin StudySocioeconomic statusMultiple causesTelomere lengthSignificant predictorsAgeEarly childhoodMortalityMidlifeChildhood