Role of individual-housing-based socioeconomic status measure in relation to smoking status among late adolescents with asthma.
We aimed to assess whether smoking status among individuals in late adolescence (19-22 years) with asthma was associated with socioeconomic status (SES) defined by HOUSES, an individual-housing-based SES measure.



A population-based cross-sectional study was conducted among the 1988-1989 Olmsted County, Minnesota Birth Cohort, with physician-diagnosed asthma and that lived in the community during the study period (November 1, 2008-October 31, 2012). Using a z score for housing value, actual square footage, and numbers of bedrooms and bathrooms, HOUSES was formulated and categorized into quartiles. Smoking status (both current and past smoker) was compared among subjects with different SES as measured by HOUSES using logistic regression, adjusting for age and sex.



Among 289 eligible subjects, 287 (99%) were successfully geo-coded to real property data for HOUSES. Of the 257 subjects whose smoke exposure was recorded, 70 (27%) had a history of smoking (either past or current). An inverse association was observed between HOUSES and smoking status after accounting for age, gender, and General Medical Examination status (adjusted OR = 0.39, 95% CI = 0.18-0.87 for comparing highest vs. lowest HOUSES in quartile; overall P = .02).



A significant proportion of individuals with asthma in late adolescence was smokers during the study period, disproportionally affecting those with lower SES.
Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN.
Chung-Il
CI
Wi
Department of Emergency Medicine, University of Cincinnati, Cincinnati, OH.
Joshua
J
Gauger
Department of Family Medicine, Boston University School of Medicine and Boston Medical Center, Boston, MA.
Maria
M
Bachman
Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN.
Jennifer
J
Rand-Weaver
Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN.
Elizabeth
E
Krusemark
Division of Biomedical Statistics and Informatics/Health Science Research, Mayo Clinic, Rochester, MN.
Euijung
E
Ryu
Division of Biomedical Statistics and Informatics/Health Science Research, Mayo Clinic, Rochester, MN.
Katherine S
KS
King
Division of Epidemiology, Mayo Clinic, Rochester, MN.
Slavica K
SK
Katusic
Department of Pediatric and Adolescent Medicine/Internal Medicine, Mayo Clinic, Rochester, MN. Electronic address: Juhn.young@mayo.edu.
Young J
YJ
Juhn
D000293:Adolescent; D017668:Age of Onset; D001249:Asthma / Q000175:diagnosis / Q000453:epidemiology*; D003430:Cross-Sectional Studies; D004522:Educational Status; D005191:Family Characteristics; D005260:Female; D006801:Humans; D015994:Incidence; D007182:Income; D016015:Logistic Models; D008297:Male; D008910:Minnesota / Q000453:epidemiology; D016017:Odds Ratio; D012189:Retrospective Studies; D018570:Risk Assessment; D012907:Smoking / Q000009:adverse effects / Q000453:epidemiology*; D012923:Social Class; D014028:Tobacco Smoke Pollution / Q000009:adverse effects / Q000706:statistics & numerical data*; D055815:Young Adult
D014028:Tobacco Smoke Pollution
Adolescent; Asthma; Preventive medicine; Smoking; Social class; Young adult