Knowledge of Mothers on Factors Associated with Anaemia among Children under Five Years Old in Orile-Agege General Hospital, Lagos, Nigeria
Notice bibliographique
Résumé
Anaemia in children under five years old is a public health concern worldwide. In developing countries about 12 million children under five years old die each year from preventable causes. The deaths of over 6 million are either directly or indirectly attributed to malnutrition, mainly under-nutrition that leads to anaemia and constitutes a high percentage of infant and child mortality. This descriptive survey attempted to assess the knowledge of mothers on factors associated with anaemia among children under five years old in the child welfare clinic at Orile-Agege General Hospital, Lagos. The 120 respondents were conveniently selected and data was collected through a close ended question items and analyzed with Pearson Product Moment Correlation. The findings revealed that 111(92.5%) of the respondents agreed that one of the major causes of anaemia was malnutrition. Consequently, respondents agreed that children who suffer from anaemia are prone to infections, delayed psychomotor development, poor academic performance and low scores in intelligent (IQ) tests which deprived them the opportunity to be physically fit and function at optimal level. There was no significant relationship between occurrence of anaemia and mothers’ educational status (r = .29) as well as their socio economic status (r = .091). The religious belief of the respondents also had no bearing with the occurrence of anaemia (r =.152). It was therefore recommended that there is need for more public enlightenment on the causes, prevention and complications of anaemia. Capacity building for health care providers to adequately equip them with updates and facts on the management of prevailing rate of anaemia effectively. Anaemia in children under five years old is a public health concern worldwide. In developing countries about 12 million children under five years old die each year from preventable causes. The deaths of over 6 million are either directly or indirectly attributed to malnutrition, mainly under-nutrition that leads to anaemia and constitutes a high percentage of infant and child mortality. This descriptive survey attempted to assess the knowledge of mothers on factors associated with anaemia among children under five years old in the child welfare clinic at Orile-Agege General Hospital, Lagos. The 120 respondents were conveniently selected and data was collected through a close ended question items and analyzed with Pearson Product Moment Correlation. The findings revealed that 111(92.5%) of the respondents agreed that one of the major causes of anaemia was malnutrition. Consequently, respondents agreed that children who suffer from anaemia are prone to infections, delayed psychomotor development, poor academic performance and low scores in intelligent (IQ) tests which deprived them the opportunity to be physically fit and function at optimal level. There was no significant relationship between occurrence of anaemia and mothers’ educational status (r = .29) as well as their socio economic status (r = .091). The religious belief of the respondents also had no bearing with the occurrence of anaemia (r =.152). It was therefore recommended that there is need for more public enlightenment on the causes, prevention and complications of anaemia. Capacity building for health care providers to adequately equip them with updates and facts on the management of prevailing rate of anaemia effectively.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| 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 | 0,001 | 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) | 0,002 | 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 source (Gemma direct ou Codex distillé), 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 ».