Role of individual-housing–based socioeconomic status measure in relation to smoking status among late adolescents with asthma

Wi, Chung Il; Gauger, Joshua; Bachman, Maria J.; Rand-Weaver, Jennifer; Krusemark, Elizabeth A.; Ryu, Euijung; King, Katherine S.; Katusic, Slavica K.; Juhn, Young J.

doi:10.1016/j.annepidem.2016.05.001

Cited by 21 publications

(11 citation statements)

References 59 publications

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“…The data collected in this study included sport factors, educational factors (predictors), and smoking behaviors (outcome). Additionally, since previous studies have identified strong associations between gender, age, socioeconomic status, and parental conflict and smoking behavior in adolescents, these covariates were also investigated [ 9 , 25 , 38 , 39 , 40 ]. A structured questionnaire that had been previously used and validated in cross sectional investigations completed in similar populations was used [ 25 , 41 ].…”

Section: Methodsmentioning

confidence: 99%

Prospective Analysis of the Influence of Sport and Educational Factors on the Prevalence and Initiation of Smoking in Older Adolescents from Croatia

Zenić

Ban

Jurišić

et al. 2017

IJERPH

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The prevalence of smoking among Croatian adolescents is alarmingly high, but no previous study has prospectively examined the sport- and academic-factors associated with smoking and smoking initiation. This study aimed to prospectively examine the associations between scholastic (educational) achievement and sport factors and smoking in 16- to 18-year-old adolescents. This two-year prospective cohort study included 644 adolescents who were 16 years of age at baseline (46% females). Baseline testing was implemented at the beginning of the 3rd year of high school (September 2014) when participants were 16 years old. Follow-up testing was completed at the end of the fourth year of high school, which occurred 20 months later. The evaluated predictor variables were educational-achievement- and sport-related-factors. The outcome variables were (i) smoking at baseline; (ii) smoking at follow-up; and (iii) smoking initiation over the course of the study. We assessed the associations between predictors and outcomes using logistic regression models adjusted for age, gender, socioeconomic status, and conflict with parents. The educational variables were consistently associated with smoking, with lower grade-point-average (Baseline: odd ratio (OR): 2.01, 95% confidence interval (CI): 1.61–2.55; Follow-up: 1.59, 1.31–1.94), more frequent absence from school (Baseline: OR: 1.40, 95% CI: 1.19–1.69; Follow-up: 1.30, 1.08–1.58), and lower behavioral grades (Baseline: OR: 1.80, 95% CI: 1.10–2.89; Follow-up: 1.57, 1.03–2.41) in children who smoke. Adolescents who reported quitting sports were at greater odds of being smokers (Baseline: 2.07, 1.31–3.32; Follow-up: 1.66, 1.09–2.56). Sport competitive achievement at baseline was protective against smoking initiation during following two-year period (0.45, 0.21–0.91). While the influence of the educational variables on smoking initiation has been found to be established earlier; sport achievement was identified as a significant protective factor against initiating smoking in older adolescents. Results should be used in development of an anti-smoking preventive campaign in older adolescents.

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Section: Methodsmentioning

confidence: 99%

Prospective Analysis of the Influence of Sport and Educational Factors on the Prevalence and Initiation of Smoking in Older Adolescents from Croatia

Zenić

Ban

Jurišić

et al. 2017

IJERPH

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“…A high HOUSES score correlates with high SES. Previous research has been used to document the successful application of HOUSES as an effective SES measure in clinical research, [55][56][57][58][59][60][61][62] and HOUSES was recently found to be a useful surrogate for SES to assess risk stratification and hospitalization in adults with multiple chronic conditions. 63 Children with missing address information were excluded from the HOUSES analyses.…”

Section: Sociodemographic Variablesmentioning

confidence: 99%

Epidemiology of Children With Multiple Complex Chronic Conditions in a Mixed Urban-Rural US Community

Bjur

Ryu

et al. 2019

Hospital Pediatrics

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A B S T R A C TOBJECTIVES: Children with multiple complex chronic conditions (MCCs) represent a small fraction of our communities but a disproportionate amount of health care cost and mortality. Because the temporal trends of children with MCCs within a geographically well-defined US pediatric population has not been previously assessed, health care planning and policy for this vulnerable population is limited. METHODS:In this population-based, repeated cross-sectional study, we identified and enrolled all eligible children residing in Olmsted County, Minnesota, through the Rochester Epidemiology Project, a medical record linkage system of Olmsted County residents. The pediatric complex chronic conditions classification system version 2 was used to identify children with MCCs. Five-year period prevalence and incidence rates were calculated during the study period (1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014) and characterized by age, sex, ethnicity, and socioeconomic status (SES) by using the housing-based index of socioeconomic status, a validated individual housing-based SES index. Age-, sex-, and ethnicity-adjusted prevalence and incidence rates were calculated, adjusting to the 2010 US total pediatric population. RESULTS:Five-year prevalence and incidence rates of children with MCCs in Olmsted County increased from 1200 to 1938 per 100 000 persons and from 256 to 335 per 100 000 person-years, respectively, during the study period. MCCs tend to be slightly more prevalent among children with a lower SES and with a racial minority background. CONCLUSIONS:Both 5-year prevalence and incidence rates of children with MCCs have significantly increased over time, and health disparities are present among these children. The clinical and financial outcomes of children with MCCs need to be assessed for formulating suitable health care planning given limited resources.

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“…13,58 While home value to approximate socioeconomic status has been used in other studies, this study represents the first time it has been applied in breast cancer outcomes research. 13,59,60 Other studies have gathered SES based on patient surveys or more broad area-level data from population census collections. 13,61,62 A limitation of using home value is that it does not account for renters.…”

Section: Discussionmentioning

confidence: 99%

“…A home is typically an individual's most valuable asset and is correlated to overall socioeconomic status 13,58 . While home value to approximate socioeconomic status has been used in other studies, this study represents the first time it has been applied in breast cancer outcomes research 13,59,60 . Other studies have gathered SES based on patient surveys or more broad area‐level data from population census collections 13,61,62 .…”

Section: Discussionmentioning

confidence: 99%

Impact of socioeconomic status on psychological functioning in survivorship following breast cancer and reconstruction

Gabrick

Chouairi

et al. 2020

Breast J

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Socioeconomic status (SES) remains an important population health risk factor and impacts a patient's experience of care during breast cancer. This study explored the relationship between SES and quality of life and satisfaction in survivorship following breast cancer and reconstruction. All patients underwent breast reconstruction at a single academic center from 2013 to 2017. Patients completed the five quality of life and satisfaction domains of the BREAST-Q, a validated patient-reported outcome measure. Estimated home value using a web-based real estate website was used to approximate a patient's socioeconomic status. Correlations were evaluated using Pearson's correlation methods, where appropriate, as well as analysis of covariance. Data were stratified for comparison utilizing t tests and linear regression models. Significance was defined as P ≤ .05. Four hundred patients underwent 711 breast reconstructions during the study time period. Satisfaction with the breast (P = .038) and psychosocial well-being (P = .012) had significant positive correlations with increasing socioeconomic status. When stratifying patients' socioeconomic status into thirds, the upper third had significantly higher psychosocial well-being (P = .001), satisfaction with breasts (P = .010), and physical well-being of the chest (P = .001) than the lower third. Significance persisted even after controlling for cancer stage, treatment, complications, and baseline comorbidities. Higher socioeconomic status is associated with greater satisfaction with breast reconstruction and psychosocial well-being following breast cancer treatment. Providing added social, psychological, and emotional support networks may be beneficial long after the initial cancer treatment and reconstruction are complete. Patients of lower socioeconomic status may

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Role of individual-housing–based socioeconomic status measure in relation to smoking status among late adolescents with asthma

Cited by 21 publications

References 59 publications

Prospective Analysis of the Influence of Sport and Educational Factors on the Prevalence and Initiation of Smoking in Older Adolescents from Croatia

Prospective Analysis of the Influence of Sport and Educational Factors on the Prevalence and Initiation of Smoking in Older Adolescents from Croatia

Epidemiology of Children With Multiple Complex Chronic Conditions in a Mixed Urban-Rural US Community

Impact of socioeconomic status on psychological functioning in survivorship following breast cancer and reconstruction

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