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. Author manuscript; available in PMC: 2012 Nov 1.
Published in final edited form as: J Allergy Clin Immunol. 2011 Aug 6;128(5):970–976. doi: 10.1016/j.jaci.2011.06.040

Table 2.

Multiple regression analyses of socioeconomic status and shift-and-persist strategies predicting asthma measures

Outcome β p
Asthma inflammation composite (baseline)
  SES −.355 <.001
  Shift-and-persist −.083 .403
  SES × shift-and-persist .187 .047
Asthma impairment (at 6 month follow up)
  SES −.273 .006
  Shift-and-persist −.160 .109
  SES × shift-and-persist .315 .001
Peak flow variability (at 6 month follow up)
  SES −.014 .899
  Shift-and-persist −.017 .881
  SES × shift-and-persist .186 .084

Note: All analyses control for child age, gender, ethnicity, asthma severity, inhaled corticosteroid use, beta agonist use. In addition, analyses that predicted outcomes at 6 month follow up controlled for baseline values. The asthma inflammation composite is a standardized score reflecting eosinophil counts and stimulated IL-4 production. The asthma impairment measure is a composite reflecting the percentage of days of school absences and rescue inhaler use during the 2 week daily diary assessment. Peak flow variability was calculated based on 2 weeks of morning and evening peak flow readings.