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Axinn says data show incidents of sexual assault start at 'very young age'

Miech on 'generational forgetting' about drug-use dangers

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

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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"

Social and Environmental Predictors of Maternal Depression in Current and Recent Welfare Recipients

Publication Abstract

Siefert, Kristine A., Philip J. Bowman, Colleen M. Heflin, Sheldon H. Danziger, and David R. Williams. 2000. "Social and Environmental Predictors of Maternal Depression in Current and Recent Welfare Recipients." American Journal of Orthopsychiatry, 70(4): 510-522.

Depression is highly prevalent in welfare recipients, and is associated with failure to move from welfare to work. This paper examines the relationship between social and environmental factors in a large, community-based sample of mothers who currently or recently received welfare benefits. Specific and modifiable risk factors related to poverty, gender, and race were found to predict major depression beyond traditional risk factors. Research and practice implications are discussed.

DOI:10.1037/h0087688 (Full Text)

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