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Community-Based Research Commons

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Full-Text Articles in Community-Based Research

Anger From Within: The Role Of Emotions In Disengagement From Violent Extremism, Peter Simi, Steven Windisch, Daniel Harris, Gina Ligon Jan 2019

Anger From Within: The Role Of Emotions In Disengagement From Violent Extremism, Peter Simi, Steven Windisch, Daniel Harris, Gina Ligon

Sociology Faculty Articles and Research

There is growing recognition about the similarities between generic criminality and violent extremism. Using data derived from a unique set of in-depth life history interviews with 40 former U.S. white supremacists, as well as previous studies of criminal desistance, we examine the emotional valence that characterizes actors' descriptions of the disengagement process. More specifically, results suggest that negative emotions (i.e., anger and frustration) directed toward the extremist group and oneself function as a catalyst for disengagement. Negative emotions become a source of motivation in re-evaluating the relative importance of the group as it relates to the individual. Ultimately, the reevaluation …


Child Obesity And The Interaction Of Family And Neighborhood Socioeconomic Context, Ashley W. Kranjac, Justin T. Denney, Rachel T. Kimbro, Brady S. Moffett, Keila N. Lopez Dec 2018

Child Obesity And The Interaction Of Family And Neighborhood Socioeconomic Context, Ashley W. Kranjac, Justin T. Denney, Rachel T. Kimbro, Brady S. Moffett, Keila N. Lopez

Sociology Faculty Articles and Research

The literature on neighborhoods and child obesity links contextual conditions to risk, assuming that if place matters, it matters in a similar way for everyone in those places. We explore the extent to which distinctive neighborhood types give rise to social patterning that produces variation in the odds of child obesity. We leverage geocoded electronic medical records for a diverse sample of over 135,000 children aged 2 to 12 and latent profile modeling to characterize places into distinctive neighborhood contexts. Multilevel models with cross-level interactions between neighborhood type and family socioeconomic standing (SES) reveal that children with different SES, but …


Neighborhood And Social Environmental Influences On Child Chronic Disease Prevalence, Ashley Wendell Kranjac, Justin T. Denney, Rachel T. Kimbro, Brady S. Moffett, Keila N. Lopez Sep 2018

Neighborhood And Social Environmental Influences On Child Chronic Disease Prevalence, Ashley Wendell Kranjac, Justin T. Denney, Rachel T. Kimbro, Brady S. Moffett, Keila N. Lopez

Sociology Faculty Articles and Research

We investigate how distinct residential environments uniquely influence chronic child disease. Aggregating over 200,000 pediatric geocoded medical records to the census tract of residence and linking them to neighborhood-level measures, we use multiple data analysis techniques to assess how heterogeneous exposures of social and environmental neighborhood conditions influence an index of child chronic disease (CCD) prevalence for the neighborhood. We find there is a graded relationship between degree of overall neighborhood disadvantage and children’s chronic disease such that the highest neighborhood CCD scores reside in communities with the highest concentrated disadvantage. Finally, results show that higher levels of neighborhood concentrated …


Comprehensive Neighborhood Portraits And Child Asthma Disparities Introduction, Ashley W. Kranjac, Rachel T. Kimbro, Justin T. Denney, Kristin M. Osiecki, Brady S. Moffett, Keila N. Lopez Feb 2017

Comprehensive Neighborhood Portraits And Child Asthma Disparities Introduction, Ashley W. Kranjac, Rachel T. Kimbro, Justin T. Denney, Kristin M. Osiecki, Brady S. Moffett, Keila N. Lopez

Sociology Faculty Articles and Research

Objectives Previous research has established links between child, family, and neighborhood disadvantages and child asthma. We add to this literature by first characterizing neighborhoods in Houston, TX by demographic, economic, and air quality characteristics to establish differences in pediatric asthma diagnoses across neighborhoods. Second, we identify the relative risk of social, economic, and environmental risk factors for child asthma diagnoses. Methods We geocoded and linked electronic pediatric medical records to neighborhood-level social and economic indicators. Using latent profile modeling techniques, we identified Advantaged, Middle-class, and Disadvantaged neighborhoods. We then used a modified version of the Blinder-Oaxaca regression decomposition method to …