George Wehby

Prof. George Wehby


Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2020 in Health Affairs
Verified
Journal Article
Closed access
WLWei Lyu
Wei Lyu
GWGeorge Wehby
George Wehby
State policies mandating public or community use of face masks or covers in mitigating novel coronavirus disease (COVID-19) spread are hotly contested. This study provides evidence from a natural e...

1 December 2012 in The Journal of Pediatrics
Verified
Journal Article
Closed access
CGCarol Cristina Guarnizo-Herreño
Carol Cristina Guarnizo-Herreño
GWGeorge Wehby
George Wehby


1 May 2014 in Pediatrics
Verified
Journal Article
Closed access
GWGeorge Wehby
George Wehby
BCBrent Collet
Brent Collet
SBSheila Barron
Sheila Barron
PRPaul A. Romitti
Paul A. Romitti
TATimothy N. Ansley
Timothy N. Ansley
MSMatthew Speltz
Matthew Speltz
BACKGROUND AND OBJECTIVE: Previous studies of academic achievement of children with oral clefts have mostly relied on small, clinic-based samples prone to ascertainment bias. In the first study in the United States to use a population-based sample with direct assessment, we evaluated the academic achievement of children with oral clefts relative to their classmates. METHODS: Children born with isolated oral clefts in Iowa from 1983 to 2003 were identified from the Iowa Registry for Congenital and Inherited Disorders and matched to unaffected classmates by gender, school/school district, and month and year of birth. Academic achievement was assessed by using standardized tests of academic progress developed by the Iowa Testing Programs. Iowa Testing Programs data were linked to birth certificates for all children. Regression models controlled for household demographic and socioeconomic factors. The analytical sample included 588 children with clefts contributing 3735 child-grade observations and 1874 classmates contributing 13 159 child-grade observations. RESULTS: Children with oral clefts had lower scores than their classmates across all domains and school levels, with a 5-percentile difference in the overall composite score. Children with clefts were approximately one-half grade level behind their classmates and had higher rates of academic underachievement and use of special education services by 8 percentage points. Group differences were slightly lower but remained large and significant after adjusting for many background characteristics. CONCLUSIONS: Children with oral clefts underperformed across all academic areas and grade levels compared with their classmates. The results support a model of early testing and intervention among affected children to identify and reduce academic deficits.

1 June 2011 in Journal of Human Capital
Verified
Journal Article
Closed access
PDF file
GWGeorge Wehby
George Wehby
KPKaitlin Prater
Kaitlin Prater
AMAnn Marie McCarthy
Ann Marie McCarthy
ECEduardo E. Castilla
Eduardo E. Castilla
JMJeffrey Murray
Jeffrey Murray
Early child neurodevelopment has major impacts on future human capital and health. However, not much is known about the impacts of prenatal risk factors on child neurodevelopment. We evaluate the e...

1 May 2012 in American Journal of Public Health
Verified
Journal Article
Closed access
CGCarol Cristina Guarnizo-Herreño
Carol Cristina Guarnizo-Herreño
GWGeorge Wehby
George Wehby
Objectives. We measured racial/ethnic inequalities in US children’s dental health and quantified the contribution of conceptually relevant factors. Methods. Using data from the 2007 National Survey of Children’s Health, we investigated racial/ethnic disparities in selected child dental health and preventive care outcomes. We employed a decomposition model to quantify demographic, socioeconomic, maternal health, health insurance, neighborhood, and geographic effects. Results. Hispanic children had the poorest dental health and lowest preventive dental care utilization, followed by Black then White children. The model explanatory variables accounted for 58% to 77% of the disparities in dental health and 89% to 100% of the disparities in preventive dental care. Socioeconomic status accounted for 71% of the gap in preventive dental care between Black children and White children and 55% of that between Hispanic children and White children. Maternal health, age, and marital status; neighborhood safety and social capital; and state of residence were relevant factors. Conclusions. Reducing US children’s racial/ethnic dental health disparities—which are mostly socioeconomically driven—requires policies that recognize the multilevel pathways underlying them and the need for household- and neighborhood-level interventions.