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Correlates, classification, and clus...

Forman, Valerie Lynne.

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Correlates, classification, and clustering of disordered eating behavior in a nationally representative sample of United States high school students.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Correlates, classification, and clustering of disordered eating behavior in a nationally representative sample of United States high school students./
Author:	Forman, Valerie Lynne.
Description:	397 p.
Notes:	Adviser: William W. Eaton.
Contained By:	Dissertation Abstracts International63-03B.
Subject:	Health Sciences, Mental Health. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3046452
ISBN:	0493606424

Correlates, classification, and clustering of disordered eating behavior in a nationally representative sample of United States high school students.
Forman, Valerie Lynne.

Correlates, classification, and clustering of disordered eating behavior in a nationally representative sample of United States high school students. - 397 p.

Adviser: William W. Eaton.

Thesis (Ph.D.)--The Johns Hopkins University, 2002.

The specific aims of this study were to: (1) determine an epidemiological profile of eating and weight concerns among U.S. high school students; (2) investigate eating disorder symptom comorbidity; and (3) ascertain the degree of school-location clustering of various eating disordered behaviors. A three-stage cluster design was used to select a nationally representative sample of U.S. high school students in grades nine through twelve. The 1999 Youth Risk Behavior Survey was completed by a total of 15,349 students from 144 different schools. Approximately 75% of female students and 54% of male students reported using one or more weight control methods in the previous month, with 26.3% of female students and 10.5% of male students having at least one of the disordered eating symptoms (fasting, taking diet pills, vomiting, or taking laxatives to control weight). Significant predictors of disordered eating in the multivariate analyses included: Black/African American (vs. White) race (OR = 1.24, 95% CI = 1.01–1.52); being from the Midwest (vs. West) geographic location (OR = 1.46, 95% CI = 1.11–1.92 or from the South (vs. West) geographic location (OR = 1.52, 95% CI = 1.11–2.09); having an underweight (vs. normal weight) BMI: (OR = 1.39, 95% CI = 1.01–1.91), a desire to lose or stay the same weight*gender interaction (OR = 2.32, 95% CI = 1.46–3.35); an overweight weight perception* gender interaction (OR = 1.47, 95% CI = 1.25–2.02); exercising to control weight in past 30 days (OR = 1.51, 95% CI = 1.30–1.76), dieting to control weight in past 30 days (OR = 3.89, 95% CI = 2.65–5.73); having a depressed mood for at least two weeks in the past year (OR = 1.93, 95% CI = 1.53–2.43); attempting suicide that required medical care in the past year (OR = 2.92, 95% CI = 1.80–4.75); early onset (before age 13) cigarette smoking (OR = 2.50, 95% CI = 2.02–3.08) and later onset (ages 13+) cigarette smoking (OR = 1.79, 95% CI = 1.32–2.42); binge drinking (5+ drinks/occasion vs. no drinking) alcohol (OR = 2.08, 95% CI = 1.58–2.72); and currently using glue (OR = 1.89, 95% CI = 1.20–2.98). Significant predictors of severe restricting differed also included sexual activity and reporting forced sexual intercourse but did not include race or current glue use. Many of the purging predictors differed from those significant in predicting severe restricting and included overestimating weight, early-onset of sexual activity, and heroin use. Significant predictors among males also differed from those important among females. Gender differences were also observed in the alternating logistic regression analyses studying the clustering of eating disorder symptoms by school location. Although specific eating disorder symptoms clustered by school location among students of both genders, nearly all symptoms significantly clustered with a higher intensity among females (PWOR range of 1.03–1.16) than males. The high prevalence of eating and weight concerns among U.S. high school students and significant comorbidity requires further attention. Closer examination of clustering of eating disorder symptoms may reveal appropriate targets for future eating disorder prevention efforts.

ISBN: 0493606424Subjects--Topical Terms:

1017693
Health Sciences, Mental Health.

Correlates, classification, and clustering of disordered eating behavior in a nationally representative sample of United States high school students.
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100 1 $a Forman, Valerie Lynne. $3 1249408
245 1 0 $a Correlates, classification, and clustering of disordered eating behavior in a nationally representative sample of United States high school students.
300 $a 397 p.
500 $a Adviser: William W. Eaton.
500 $a Source: Dissertation Abstracts International, Volume: 63-03, Section: B, page: 1304.
502 $a Thesis (Ph.D.)--The Johns Hopkins University, 2002.
520 $a The specific aims of this study were to: (1) determine an epidemiological profile of eating and weight concerns among U.S. high school students; (2) investigate eating disorder symptom comorbidity; and (3) ascertain the degree of school-location clustering of various eating disordered behaviors. A three-stage cluster design was used to select a nationally representative sample of U.S. high school students in grades nine through twelve. The 1999 Youth Risk Behavior Survey was completed by a total of 15,349 students from 144 different schools. Approximately 75% of female students and 54% of male students reported using one or more weight control methods in the previous month, with 26.3% of female students and 10.5% of male students having at least one of the disordered eating symptoms (fasting, taking diet pills, vomiting, or taking laxatives to control weight). Significant predictors of disordered eating in the multivariate analyses included: Black/African American (vs. White) race (OR = 1.24, 95% CI = 1.01–1.52); being from the Midwest (vs. West) geographic location (OR = 1.46, 95% CI = 1.11–1.92 or from the South (vs. West) geographic location (OR = 1.52, 95% CI = 1.11–2.09); having an underweight (vs. normal weight) BMI: (OR = 1.39, 95% CI = 1.01–1.91), a desire to lose or stay the same weight*gender interaction (OR = 2.32, 95% CI = 1.46–3.35); an overweight weight perception* gender interaction (OR = 1.47, 95% CI = 1.25–2.02); exercising to control weight in past 30 days (OR = 1.51, 95% CI = 1.30–1.76), dieting to control weight in past 30 days (OR = 3.89, 95% CI = 2.65–5.73); having a depressed mood for at least two weeks in the past year (OR = 1.93, 95% CI = 1.53–2.43); attempting suicide that required medical care in the past year (OR = 2.92, 95% CI = 1.80–4.75); early onset (before age 13) cigarette smoking (OR = 2.50, 95% CI = 2.02–3.08) and later onset (ages 13+) cigarette smoking (OR = 1.79, 95% CI = 1.32–2.42); binge drinking (5+ drinks/occasion vs. no drinking) alcohol (OR = 2.08, 95% CI = 1.58–2.72); and currently using glue (OR = 1.89, 95% CI = 1.20–2.98). Significant predictors of severe restricting differed also included sexual activity and reporting forced sexual intercourse but did not include race or current glue use. Many of the purging predictors differed from those significant in predicting severe restricting and included overestimating weight, early-onset of sexual activity, and heroin use. Significant predictors among males also differed from those important among females. Gender differences were also observed in the alternating logistic regression analyses studying the clustering of eating disorder symptoms by school location. Although specific eating disorder symptoms clustered by school location among students of both genders, nearly all symptoms significantly clustered with a higher intensity among females (PWOR range of 1.03–1.16) than males. The high prevalence of eating and weight concerns among U.S. high school students and significant comorbidity requires further attention. Closer examination of clustering of eating disorder symptoms may reveal appropriate targets for future eating disorder prevention efforts.
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650 4 $a Health Sciences, Public Health. $3 1017659
650 4 $a Psychology, Social. $3 529430
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791 $a Ph.D.
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