Suicidal Ideation in Relation to Loneliness, Peer Pressure and Self-Efficacy among Adolescents
Notice bibliographique
Résumé
Rates of suicide are not distributed equally throughout the general population. One important demographic marker of suicide risk is age. Globally, suicide rates tend to increase with age, although some countries such as Canada have also recently seen a secondary peak in young people aged 1524 years. The rates ranged from 0.9 per 100 000 in the group aged 514 years to 66.9 per 100 000 among people aged 75 years and older. In general, suicide rates among those aged 75 years and older are approximately three times higher than those of youngpeople aged 1524 years. This trend is found for both sexes, but is more marked among men. For women, suicide rates present differing patterns. In some cases, female suicide rates increase steadily with age, in others the rates peak in middle age, and in yet others, particularly in developing countries and among minority groups, female rates peak among young adults (Krug et al., 2002). Adolescent suicidal ideation and its relationship to other variables was tapped by a self-report questionnaire administered to 88 high school seniors. Eighteen percent responded positively to the statement sometimes I feel suicidal. Those who reported suicidal ideation were found to differ from those who did not on a number of variables, including family relationships (quality of relationship with mother, intimacy with parents, and closeness to siblings), family history of depression (maternal depression), peer relations (quality of peer relationships, popularity, and number of friends), emotional well-being (happiness, anger, and depression), drug use (cigarettes, marijuana, and cocaine), and grade point average. Stepwise regression indicated that happiness explained 46% of the variance in suicidal ideation, and number of friends, anger, and marijuana use explained an additional 20%, for a total of 66% of the variance. While 34% of the variance remained unexplained, it is suggested that the questions used to measure these four variables be included in global screenings to identify adolescents at risk for suicidal ideation.LonelinessLoneliness is defined in various ways, but all definitions share the same conceptualization that this is an unpleasant, anxiety inducing subjective experience that is the outcome of inadequate social relationships (Peplau & Perlman, 1982). It results when a person's network of social relationships is deficient in some important ways, either qualitative or quantitatively. Quantitative aspects of the network include the number of people as well as the composition of the network (family, friends). Qualitative factors are related to the level of satisfaction with the number and composition of the network and with what the network offers. Loneliness may be either a persistent, life-long phenomenon, or it may last for shorter periods and be tied with different situational factors that hamper the maintenance of social relationshipsPeer pressureThe peer group's influence on leisure-time activities during adolescence is of paramount importance, and peers often set the standards for the adolescent's behavior. As adolescents spend more time with peers, they also participate in and create youth cultures, which in turn reinforce the meanings and values of the wider peer group (Larson et al., 2002). Peers create an important forum for adolescents' social relationships and the peer group has long been regarded as an important context for the growth to independence (e.g., Poole, 1989). According to theory (Festinger, 1954) people determine the correctness of their beliefs by testing them. It is by such social comparison that a person learns about the world and about the self within it, and thereby reduces uncertainty. Persons who are unsure of themselves are particularly willing to make social comparisons with a reference group in order to determine what correct or desirable behavior is. The reference group for young people usually consists of peers. It is claimed that adolescents are particularly vulnerable to peer influence, since adolescence is such a critical period with so many significant changes occurring simultaneously. …
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
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