title: Gender differences in early risk factors for adolescent depression among low-income urban children.
abstract: One component of a model by Nolen-Hoeksema and Girgus, who propose that risk factors for adolescent depression are more common in girls than in boys during childhood, was tested with 85 low-income, urban, African American and Latino kindergarten through fourth grade children who completed inventories of depression, stress, attributional style, gender role, and body image. Endorsing two of three predicted risk factors, girls reported slightly poorer body image and identified more strongly with a feminine gender role. Boys, however, reported a more negative attributional style. Feminine gender role was not associated with body image or negative attributional style. The applicability of the proposed model to a low-income, ethnic minority, urban population is discussed.
authors.affiliation: Department of Psychology, DePaul University.
authors.forename: Aoife L
authors.initials: AL
authors.lastname: Lyons
authors.affiliation: Department of Psychology, DePaul University.
authors.forename: Ginger A
authors.initials: GA
authors.lastname: Carlson
authors.affiliation: Department of Psychology, DePaul University.
authors.forename: Audrey E
authors.initials: AE
authors.lastname: Thurm
authors.affiliation: Department of Psychology, DePaul University.
authors.forename: Kathryn E
authors.initials: KE
authors.lastname: Grant
authors.affiliation: Department of Psychology, DePaul University.
authors.forename: Polly Y
authors.initials: PY
authors.lastname: Gipson
mesh_terms: D000293:Adolescent; D001741:Black or African American / Q000706:statistics & numerical data; D000367:Age Factors; D002648:Child; D003863:Depression / Q000175:diagnosis / Q000208:ethnology*; D005260:Female; D006630:Hispanic or Latino / Q000706:statistics & numerical data; D006801:Humans; D008297:Male; D012307:Risk Factors; D012737:Sex Factors; D012959:Socioeconomic Factors; D011795:Surveys and Questionnaires; D014505:Urban Population / Q000706:statistics & numerical data*