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Jason Newsom, Ph.D.

Associate Professor

Office: 470P URBN
Phone: 503-725-5136
Fax: 503-725-5100
E-mail: newsomj@pdx.edu
Web Site: www.upa.pdx.edu/IOA/newsom

CV

Interests

Receiving care among physically impaired older adults; negative social interaction and social support among older adults; health behaviors among older adults; applied statistical analysis and measurement, especially applications of structural equation modeling; longitudinal research design and analysis.

Projects

Dr.  Newsom has served as a principal or co-investigator for studies funded by National Institutes of Health Research that focus on social relationships, health behavior, and caregiving .  Current and recent projects include an investigation of changes in health behaviors in mid to late life among those with chronic disease as well as a national longitudinal study of the mental and physical health consequences of negative social exchanges.  He is currently editing (with Richard N,. Jones and Scott M. Hofer) a book on data analysis of longitudinal studies on aging.

Selected Publications

Newsom, J.T., Mahan, T.L., Rook, K.S., & Krause, N. (2008). Stable negative social exchanges and health.  Health Psychology, 27, 78-86.

Newsom, J.T., Rook, K.S., Nishishiba, M., Sorkin, D., Mahan, T.L. (2005). Understanding the relative importance of positive and negative social exchanges:  Examining specific domains and appraisals. Journals of Gerontology: Psychological Sciences, 60B, P304-P312.

Newsom, J.T., McFarland, B.H., Kaplan, M.S., Huguet, N., & Zani, B. (2005). The health consciousness myth: Implications of the near independence of major health behaviors in the population.  Social Science & Medicine, 60, 433-437.

Newsom, J.T., Prigerson, H.G., Reynolds, C.F., & Schulz, R. (2003). Investigating moderator hypotheses in aging research:  Statistical, methodological, and conceptual difficulties with comparing separate regressions. International Journal of Aging and Human Development, 57, 199-150.

Newsom, J.T. (2002). A multilevel structural equation model for dyadic data. Structural Equation Modeling, 9, 431-447.