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Understanding Pathways to Successful Aging How Social and Behavioral Factors Affect Health at Older Ages: Workshop in Brief (2015) / Chapter Skim
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Understanding Pathways to Successful Aging: How Social and Behavioral Factors Affect Health at Older Ages - Workshop in Brief
Pages 1-8

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From page 1...
... Improved understanding of these relationships is needed to support the design of interventions to promote healthy outcomes at midlife and older ages. To advance understanding about antecedents to healthy aging, the Board on Behavioral, Cognitive, and Sensory Sciences held a workshop, "Understanding Pathways to Successful Aging: How Social and Behavioral Factors Affect Health at Older Ages," on June 11-12, 2015.
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From page 2...
... There may be variables that are not measured that antecedents might influence aging, as well as the research affect both optimism and cardiac health. If these confoundchallenges that remain for both delineating causal pathways ing variables are not accounted for, researchers might erroneand identifying targets for intervention.
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From page 3...
... with depression, an association that is clearly bidirectional, Kiecolt-Glaser said. There is evidence that the effects of a Longitudinal observational research, such as in birth cohort negative marital experience on people's self-reported state studies, has been used to control for potentially confoundof health increase as they age.
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From page 4...
... These variables provide a way CLARIFYING PATHWAYS, ENHANCING CAUSAL of estimating causal effects when the relationship between the ANALYSES, AND DELINEATING MECHANISMS antecedent and the outcome may be bidirectional and when Each of the antecedents discussed by Kubzansky, Kiecolt- controlled experiments are not practical. Policy changes, such Glaser, and Manly point to consistent methodological chal- as extending the length of the school year or desegregating lenges, noted Arun Karlamangla, geriatrician and clinical public schools, provide opportunities for the use of natural epidemiologist at the University of California, Los Angeles.
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From page 5...
... or conditions that may change in the course of the life-cycle, This method has helped to answer questions about the genetic such as smoking or socioeconomic status. Other tools that influence on life-style factors that appear to influence healthy hold promise to address various challenges in causal inference aging, including smoking, drinking, diet, physical activity, include meta-analysis, the use of latent variable models, and intellectual activity, and social behaviors.
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From page 6...
... over time and contexts. Data that can be collected for this Joshua Smyth, professor of behavioral health and medicine purpose include self-reports; biomarkers; GPS and geocodat Pennsylvania State University, focused on the "thin-slice" ing data; physical activity and sleep logs; and digital data approach to understanding the role of time, process, and including that from sensors, cameras, texts, e-mails, and the context in mechanisms that may influence aging, and using like.
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From page 7...
... Janice Kiecolt-Glaser reported for the workshop discussion SYNTHESIS group that focused on marital satisfaction. They suggested Robert Levenson, professor of psychology at the University using data that provides repeated measures of a population of California at Berkeley, synthesized the presentations and to explore how marital status may affect long-term health discussions, identifying recurring points and issues for further outcomes.
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From page 8...
... . sity settings with carefully selected populations and carefully Longitudinal studies hold promise for establishing how trained doctors or other clinicians often do not work as well antecedents influence outcomes, but they, too, have chal- outside those controlled settings.
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Key Terms

  • healthy aging
  • marital satisfaction
  • social research
  • causal relationships
  • causal inferences

  • positive psychological
  • longitudinal studies
  • twin studies
  • affect health
  • promote healthy

  • psychological functioning
  • confounding variables
  • sensory sciences
  • planning committee
  • physical activity

  • longitudinal data
  • marital quality
  • observational data
  • behavioral factors
  • factors affect

  • maria glymour
  • influence health
  • cardiovascular health
  • cardiac health
  • health behaviors

  • delineating causal
  • causal pathways
  • causal inference
  • enhancing causal
  • causal links


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