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Miech on 'generational forgetting' about drug-use dangers

Impacts of H-1B visas: Lower prices and higher production - or lower wages and higher profits?

MTF data show 10% of 19-20 year-olds report bouts of drinking 10-plus alcoholic beverages

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Highlights

Call for papers: Conference on computational social science, April 2017, U-M

Sioban Harlow honored with 2017 Sarah Goddard Power Award for commitment to women's health

Post-doc fellowship in computational social science for summer or fall 2017, U-Penn

ICPSR Summer Program scholarships to support training in statistics, quantitative methods, research design, and data analysis

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Next Brown Bag

Mon, Feb 13, 2017, noon:
Daniel Almirall, "Getting SMART about adaptive interventions"

Philippa J. Clarke photo

Adding Contextual Data to the Health and Retirement Study

a PSC Research Project

Investigator:   Philippa J. Clarke

Research on environment and aging suggests that older adults are more dependent on the resources and amenities in their immediate neighborhoods, and are more vulnerable to neighborhood hazards. Older adults are a rapidly growing part of the U.S. population and are increasingly expecting to remain independent, active, and living in the community. Research is needed to determine the extent to which neighborhoods can support healthy, active, independent living in aging populations. Most important is the need to identify and measure neighborhood conditions thought to be the strongest influence on health and well-being among older U.S. adults. We propose to develop a rich contextual data resource linked to HRS respondents that can be used to characterize the neighborhood environment of our growing old age population as well as advance understanding of the specific pathways linking eighborhoods to health and well-being among older adults. The aims of this project include:
Aim 1: To construct measures of key neighborhood dimensions using HRS and secondary data.
Aim 2: To archive for public use the resulting contextual data set, including the development of restricted data use protocols/data sharing plans where necessary.
Aim 3: To conduct analysis characterizing exposure to neighborhood conditions among HRS respondents.

Funding Period: 01/01/2014 to 06/30/2016

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