Jason D Boardman

Summary

Affiliation: University of Colorado
Country: USA

Publications

  1. Boardman J, Blalock C, Pampel F. Trends in the genetic influences on smoking. J Health Soc Behav. 2010;51:108-23 pubmed
  2. Boardman J, Domingue B, Daw J. What can genes tell us about the relationship between education and health?. Soc Sci Med. 2015;127:171-80 pubmed publisher
    ..We find no evidence that the correlation between education and BMI is influenced by common genetic factors. ..
  3. Bohr A, Boardman J, Domingue B, McQueen M. Breastfeeding is associated with waist-to-height ratio in young adults. BMC Public Health. 2015;15:1281 pubmed publisher
    ..This paper also provides evidence that the WHtR may be a superior outcome measure to BMI in studies investigating breastfeeding and obesity. ..
  4. Boardman J, Blalock C, Pampel F, Hatemi P, Heath A, Eaves L. Population composition, public policy, and the genetics of smoking. Demography. 2011;48:1517-33 pubmed publisher
    ..These findings support the social push perspective and make important contributions to the social demography and genetic epidemiology of smoking as well as to the gene-environment interaction literatures. ..
  5. Wehby G, Domingue B, Boardman J. Prevention, Use of Health Services, and Genes: Implications of Genetics for Policy Formation. J Policy Anal Manage. 2015;34:519-36 pubmed
    ..Use of curative services does not appear to be influenced by genes. Our findings offer several implications for policymakers and researchers and suggest that genetics could be informative for health services and policy research. ..
  6. Boardman J, Barnes L, Wilson R, Evans D, Mendes de Leon C. Social disorder, APOE-E4 genotype, and change in cognitive function among older adults living in Chicago. Soc Sci Med. 2012;74:1584-90 pubmed publisher
    ..Our findings support the non-causal social push gene-environment interaction model. ..
  7. Boardman J, Domingue B, Blalock C, Haberstick B, Harris K, McQueen M. Is the gene-environment interaction paradigm relevant to genome-wide studies? The case of education and body mass index. Demography. 2014;51:119-39 pubmed publisher
    ..We highlight the fact that GWAS is just one use of genome-wide data, and we encourage demographers to develop methods that incorporate this vast amount of information from respondents into their analyses. ..