This application addresses broad Challenge Area 01: Behavior, Behavioral Change, and Prevention, and specific Challenge Topic 01-AG-103: Individual-based Model of Social Behavior. Innovations in developmental theory have outpaced methodological development and application. Needed are methods that allow for precise articulation of within-person/intra individual dynamics of behavior that unfold over multiple time scales (days, years, decades). New tools that explicitly tether dynamic ideas, within-person methods, and real-world observations must be developed, implemented, and evaluated - substantively and methodologically - to advance our understanding of the dynamic social processes that influence health and well-being. Our approach to this Challenge includes the following specific aims: (1) developing and organizing analytical methods for measuring and articulating the dynamic characteristics and dynamic processes implicated in individual-based models of interpersonal/social behavior, (2) elaborating and implementing a data collection/design framework for examining the variability and change in interpersonal behavior, health, and well-being occurring at micro-, meso-, and macro- time scales (i.e., days to decades), and (3) predicting and testing how the dynamic characteristics and processes of interpersonal behavior, health, and well-being change over the course of hours/days, weeks/months and how those characteristics, processes, and changes differ across early-, mid-, and later adulthood. By deliberately tethering methodological advances to theoretical conceptions, and providing illustrations of how researchers can make use of these tethers, this project will provide a valuable resource for both methodological and substantive researchers interested in life-span development, interpersonal behavior, and health/well-being. Our research will deliver new methods and insights that allow investigators to link precisely modeled dynamic characteristics and dynamic processes of individuals'interpersonal processes to important health outcomes and well-being across early, mid-, and later adulthood.

Public Health Relevance

Interpersonal behavior affects individuals'emotions, arousal, stress, and facilitated or impairs social support, intimacy, and relational satisfaction. This project will deliver new methods and models that allow for more specific articulation and linking of when and how interpersonal interaction processes contribute to health, well-being, and aging.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
NIH Challenge Grants and Partnerships Program (RC1)
Project #
5RC1AG035645-02
Application #
7937955
Study Section
Special Emphasis Panel (ZRG1-RPHB-E (58))
Program Officer
Nielsen, Lisbeth
Project Start
2009-09-30
Project End
2012-08-31
Budget Start
2010-09-01
Budget End
2012-08-31
Support Year
2
Fiscal Year
2010
Total Cost
$498,496
Indirect Cost
Name
Pennsylvania State University
Department
Other Health Professions
Type
Schools of Allied Health Profes
DUNS #
003403953
City
University Park
State
PA
Country
United States
Zip Code
16802
Hülür, Gizem; Heckhausen, Jutta; Hoppmann, Christiane A et al. (2017) Levels of and changes in life satisfaction predict mortality hazards: Disentangling the role of physical health, perceived control, and social orientation. Psychol Aging 32:507-520
Ram, Nilam; Benson, Lizbeth; Brick, Timothy R et al. (2017) Behavioral Landscapes and Earth Mover's Distance: A New Approach for Studying Individual Differences in Density Distributions. J Res Pers 69:191-205
Tuarob, Suppawong; Tucker, Conrad S; Kumara, Soundar et al. (2017) How are you feeling?: A personalized methodology for predicting mental states from temporally observable physical and behavioral information. J Biomed Inform 68:1-19
Ram, Nilam; Brinberg, Miriam; Pincus, Aaron L et al. (2017) The Questionable Ecological Validity of Ecological Momentary Assessment: Considerations for Design and Analysis. Res Hum Dev 14:253-270
Graham, Eileen K; Rutsohn, Joshua P; Turiano, Nicholas A et al. (2017) Personality Predicts Mortality Risk: An Integrative Data Analysis of 15 International Longitudinal Studies. J Res Pers 70:174-186
Hoppmann, Christiane A; Infurna, Frank J; Ram, Nilam et al. (2017) Associations Among Individuals' Perceptions of Future Time, Individual Resources, and Subjective Well-Being in Old Age. J Gerontol B Psychol Sci Soc Sci 72:388-399
Lydon, David M; Ram, Nilam; Conroy, David E et al. (2016) The within-person association between alcohol use and sleep duration and quality in situ: An experience sampling study. Addict Behav 61:68-73
Koffer, Rachel E; Ram, Nilam; Conroy, David E et al. (2016) Stressor diversity: Introduction and empirical integration into the daily stress model. Psychol Aging 31:301-20
Infurna, Frank J; Gerstorf, Denis; Ram, Nilam et al. (2016) Maintaining Perceived Control with Unemployment Facilitates Future Adjustment. J Vocat Behav 93:103-119
Schöllgen, Ina; Morack, Jennifer; Infurna, Frank J et al. (2016) Health sensitivity: Age differences in the within-person coupling of individuals' physical health and well-being. Dev Psychol 52:1944-1953

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