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Megan M. Marron
University of Pittsburgh
PsychiatryPsychologyPhysical therapyDiabetes mellitusMedicine
20Publications
4H-index
107Citations
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Publications 26
Newest
#1Megan M. Marron (University of Pittsburgh)H-Index: 4
#2Steven C. MooreH-Index: 41
Last. A. Newman (University of Pittsburgh)H-Index: 150
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Source
#1Megan M. Marron (University of Pittsburgh)H-Index: 4
#2Stacy G. Wendell (University of Pittsburgh)H-Index: 8
Last. A. Newman (University of Pittsburgh)H-Index: 150
view all 8 authors...
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#1Mary Elizabeth Baugh (Wake Forest University)
#2Olga Ilkayeva (Durham University)H-Index: 50
Last. Stephen B. Kritchevsky (Wake Forest University)H-Index: 99
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#1Megan M. Marron (University of Pittsburgh)H-Index: 4
#2Stacy G. Wendell (University of Pittsburgh)H-Index: 8
Last. A. Newman (University of Pittsburgh)H-Index: 150
view all 8 authors...
Source
#1Samaneh Farsijani (University of Pittsburgh)
#2Megan M. Marron (University of Pittsburgh)H-Index: 4
Last. A. Newman (University of Pittsburgh)H-Index: 150
view all 6 authors...
Source
#1Megan M. Marron (University of Pittsburgh)H-Index: 4
#2Tamara B. Harris (NIH: National Institutes of Health)H-Index: 175
Last. A. Newman (University of Pittsburgh)H-Index: 150
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Source
#1Chenkai Wu (Chongqing University of Science and Technology)H-Index: 5
#2Ya-Xi Li (Duke University)
Last. Jason L. Sanders (Harvard University)H-Index: 19
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#1Chenkai Wu (Duke University)H-Index: 5
#2Ya-Xi Li (Duke University)
Last. Jason L. Sanders (Harvard University)H-Index: 19
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Abstract Background The concept of resilience has gained increasing attention in ageing research; however, published literature lacks consensus on how to measure resilience. We developed a novel resilience measure based on the degree of mismatch between a person's frailty level and disease burden and examined its ability in predicting adverse outcomes. Methods We included white and black older adults (≥70 years) from the Health, Aging, and Body Composition Study. Eligibility criteria were (1) fr...
Source
#1Megan M. Marron (University of Pittsburgh)H-Index: 4
#2Mary K. Wojczynski (WashU: Washington University in St. Louis)H-Index: 23
Last. A. Newman (University of Pittsburgh)H-Index: 150
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Five healthy aging phenotypes were developed in the Long Life Family Study to uncover longevity pathways and determine if healthy aging across multiple systems clustered in a subset of long-lived families. Using blood pressure, memory, pulmonary function, grip strength, and metabolic measures (body mass index, waist circumference and fasting levels of glucose, insulin, triglycerides, lipids, and inflammatory markers), offspring were ranked according to relative health using gender-, age-, and re...
Source
#1Adam J. Santanasto (University of Pittsburgh)H-Index: 7
#2Megan M. Marron (University of Pittsburgh)H-Index: 4
Last. Anne B. Newman (University of Pittsburgh)H-Index: 10
view all 13 authors...
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