Literature DB >> 8769588

The effect of socioeconomic status on chronic disease risk behaviors among US adolescents.

R Lowry1, L Kann, J L Collins, L J Kolbe.   

Abstract

OBJECTIVE: To examine the relationship between socioeconomic status and risk behaviors for chronic disease among a nationally representative sample of adolescents in the United States.
DESIGN: Household survey, the Youth Risk Behavior Survey supplement to the 1992 National Health Interview Survey.
SETTING: United States. PARTICIPANTS: Nationally representative sample of 6321 adolescents aged 12 to 17 years. MAIN OUTCOME MEASURES: Standardized prevalence rates and logistic and multiple regression models were used to examine the effect of educational level of the responsible adult and family income on 5 risk behaviors for chronic disease among adolescents--cigarette smoking, sedentary lifestyle, insufficient consumption of fruits and vegetables, excessive consumption of foods high in fat, and episodic heavy drinking of alcohol.
RESULTS: Most adolescents (63%) reported 2 or more of the 5 risk behaviors. Controlling for age, sex, race/ethnicity, and school enrollment status of adolescents, as the educational level of the responsible adult increased, cigarette smoking, sedentary lifestyle, and insufficient consumption of fruits and vegetables were less likely among adolescents. Among girls, but not boys, consumption of foods high in fat decreased as education of the responsible adult increased. As family income increased, adolescents were less likely to smoke cigarettes, less likely to be sedentary, and less likely to engage in episodic heavy drinking.
CONCLUSION: Among adolescents, risk behaviors for chronic disease are common and inversely related to socioeconomic status. Improved community- and school-based programs to prevent such behaviors among adolescents are needed, especially among socially and economically disadvantaged youth.

Entities:  

Mesh:

Year:  1996        PMID: 8769588

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  77 in total

1.  The role of socioeconomic status gradients in explaining differences in US adolescents' health.

Authors:  E Goodman
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2.  Changes at the high end of risk in cigarette smoking among US high school seniors, 1976-1995.

Authors:  L C An; P M O'Malley; J E Schulenberg; J G Bachman; L D Johnston
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3.  Predictors of cigarette smoking and smoking cessation among adults with asthma.

Authors:  M D Eisner; E H Yelin; P P Katz; S C Shiboski; J Henke; P D Blanc
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4.  A simulation of the effects of youth initiation policies on overall cigarette use.

Authors:  D T Levy; K M Cummings; A Hyland
Journal:  Am J Public Health       Date:  2000-08       Impact factor: 9.308

5.  Social class gradients in health during adolescence.

Authors:  B Starfield; A W Riley; W P Witt; J Robertson
Journal:  J Epidemiol Community Health       Date:  2002-05       Impact factor: 3.710

6.  Socioeconomic differences in attitudes and beliefs about healthy lifestyles.

Authors:  J Wardle; A Steptoe
Journal:  J Epidemiol Community Health       Date:  2003-06       Impact factor: 3.710

7.  Parent's socioeconomic status, adolescents' disposable income, and adolescents' smoking status in Massachusetts.

Authors:  Elpidoforos S Soteriades; Joseph R DiFranza
Journal:  Am J Public Health       Date:  2003-07       Impact factor: 9.308

8.  The association of the school food environment with dietary behaviors of young adolescents.

Authors:  Martha Y Kubik; Leslie A Lytle; Peter J Hannan; Cheryl L Perry; Mary Story
Journal:  Am J Public Health       Date:  2003-07       Impact factor: 9.308

9.  Disparities in adolescent health and health care: does socioeconomic status matter?

Authors:  Paul W Newacheck; Yun Yi Hung; M Jane Park; Claire D Brindis; Charles E Irwin
Journal:  Health Serv Res       Date:  2003-10       Impact factor: 3.402

10.  Temporal changes in socioeconomic influences on health: maternal education and preterm birth.

Authors:  Abdulrahman M El-Sayed; Sandro Galea
Journal:  Am J Public Health       Date:  2012-06-28       Impact factor: 9.308

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