Street Children in Alexandria: Profile and Psychological Disorders
Notice bibliographique
Résumé
Background: Today developed and developing countries are facing the problem posed by street children. The continuous and unrestrained exposure to the street and its associated lifestyles makes these children vulnerable to a range of health, social, and other problems. Objective: The aim of the present work was to assess the profile of street children and their living condition from different aspects, in addition to assessment of some psychological disorders among them. Methods: A cross-sectional study was conducted on 50 street boys present at El-Horreya institute for Children Community Development, which is a non-governmental organization in Alexandria. An equal control group of 50 school boys were selected at random from the first and second grades of one governmental boys preparatory school of the Middle District of Alexandria. Every child was subjected to an interviewing questionnaire. The Arabic version of Revised Ontario Child Health study scale, children Depression Inventory and the Cooper-Smith Self-Esteem Inventory,were used to identify children with conduct disorder, depression, and assess self-esteem, respectively. Anthropometric measurements including weight and height were measured for each street child and BMI was calculated. Results: The present study revealed that more than half of street children (58.0%) came from large size families, about three-quarters (72.0%) reported insufficient income, most of them had low educated parents and unskilled fathers, 80.0% reported not living with both parents before coming to the institute, and 91.2% reported bad inter-parental relationship. Family history of drug abuse, alcohol intake, smoking, and imprison were significantly higher among street children compared to school children (p<0.001). The present study showed that 74.0% of street children were smokers, 22.0% reported drug abuse, and 90.0% were dropped out of school. Family violence, beating, and beating without reason significantly increase the risk of being a street child (OR= 31.90, 2.0, and 44.58, respectively). The risk of conduct disorder, depression, and low-self esteem were significantly more among street children compared to school children (OR= 44.59, 14.64, and 9.66, respectively). The main cause of leaving home was beating, 80.0% lived in street after leaving home, 72.0% their main source of living was begging, and most of them faced problems in the street especially with the police. The results revealed that 92.0% were satisfied with the institute and 86.0% prefer to stay in the institute than returning to the street. Recommendations: planning programs to prevent, protect, and rehabilitate street children are essential.
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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 | 0,005 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 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 | 0,001 |
| 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.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».