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Catalogue Information
Field name	Details
Nuova numerazione	76548
Collocazione	UPS BIBL CENTR 39-B-921
Autore	TAK, Y.
Titolo	The prospective associations between self-efficacy and depressive symptoms from early to middle adolescence : a cross-lagged model. Parte componente di periodico
Descrizione fisica	pp. 744-756
Nota generale	Estratto da: Journal of youth and adolescence 2017, 46, 4
Riassunto	Over the course of adolescence, an increasing number of adolescents experience depression. In order to effectively target depression, identifying risk factors for depressive symptoms is pivotal. Since low levels of self-efficacy were associated with higher levels of depressive symptoms in previous studies, the current study investigated the bidirectional and prospective associations between depressive symptoms and academic, social and emotional self-efficacy from early to mid adolescence in a cross-lagged path model. The sample consisted of 1,341 adolescents (47 % girls) with a mean age of 14 years, SD = 0.56. Depressive symptoms and self-efficacy levels were assessed every 6 months over a period of 2.5 years. Depressive symptoms predicted subsequent levels of academic and emotional self-efficacy on all time points, and social self-efficacy on one time point. Self-efficacy did not predict subsequent levels of depressive symptoms. There was no evidence of sex differences in the cross-lagged associations between depressive symptoms and self-efficacy levels. Implications of the findings are discussed.
Tipo di documento	RICERCA.
Soggetto	DEPRESSIONE.
	PSICOPATOLOGIA.
	RISCHIO.
	AUTOEFFICACIA.
	DIFFERENZA SESSUALE.
	ADOLESCENTI.
	IDENTITÀ DI GENERE.
	DISTURBI.
	NORVEGIA.
Ambito	Psicologico
Autore Secondario	BRUNWASSER, S.
	LICHTWARCK-ASCHOFF, A.
	ENGELS, R.
Titolo correlato	Journal of youth and adolescence 2017, 46, 4
Accesso online	http://search.ebscohost.com/login.aspx?direct=true&db=eue&AN=121742413&lang=it&site=ehost-live

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The prospective associations between self-efficacy and depressive symptoms from early to middle adolescence : a cross-lagged model.