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HUBUNGAN ANTARA FAKTOR - FAKTOR DALAM CALGARY FAMILY ASSESSMENT MODEL DENGAN PERILAKU HIDUP BERSIH DAN SEHAT TENTANG "FOOD BORNE DISEASE" PADA ANAK SEKOLAH DI SEKOLAH DASAR NEGERI BABAT JERAWAT I KECAMATAN PAKAL SURABAYA

2012· other· en· W7057020058 sur OpenAlexaboutno aff

Notice bibliographique

RevueUniversitas Airlangga Repository (Universitas Airlangga) · 2012
Typeother
Langueen
DomainePhysics and Astronomy
ThématiqueMagnetic confinement fusion research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésNonprobability samplingInclusion (mineral)HygienePersonal hygieneIncidence (geometry)School healthTest (biology)
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Incidence of food borne disease, such as diarrhea, typhoid and hookworm infection in school children were still sufficient susceptible. Lack of clean and healthy behavior became primary cause, so that the agent can easily enter to the body through the food consumed. One of the factors that influence the formation of children's behavior to keep hygiene and health related food borne disease prevention was family involvement. However, no studies that answer the question how the family was able to make children aware behave clean and healthy living. The purpose of this study was to analyze the correlation between family's factors in Calgary Family Assessment Model (CFAM) with clean and healthy behaviors by school children at Elementary School Babat Jerawat I, District Pakal Surabaya. This study was a cross sectional study. The sample of this study were 67 of fifth grade students at Elementary school Babat Jerawat I District Pakal Surabaya and their families, selected by purposive sampling of 121 students and their families who met the inclusion criteria. Data of clean and healthy behavior were collected by observation and interviews focused on a group of school children using questionnaires, checklists and interview guides. While data of family factors obtained through interviews with relatives (parents) of school children using Calgary Family Assessment Model (CFAM) fonnat. Data analysis was done by using the Spearman rank test. The results showed that the clean and healthy behavior about food borne disease, the majority of school children in Elementary school Babat Jerawat I District Pakal Surabaya included in good criteria (59.7%) and small portion of these included less category (40.3%). Preview of family's factors, such as structural, attachment (bonding) and functional's factors on Calgary Family Assessment Model, generally mostly included in good criteria, respectively are 68.7%, 71.6%, and 55.2%. There was variation in the results between family's factors based on a group of school children with well and less in clean and healthy behavior. However, there was no significant difference between family factors in both groups. The analysis results by Spearman rank test showed no significant correlation between family's factors in Calgary Family Assessment Model with clean and healthy behaviors by school children at Elementary school Babat Jerawat I District Pakal Surabaya (p = 0.430 or p> 0.05). However, there are several sub-variables of family's factors that had a significant correlation with clean and healthy behaviors by school children, among others: rank order (p = 0.038), parent's income (p = 0.006) and parent's home ownership status (p = 0.025). In addition, the trend showed that the larger an allowance given to the children, the quality of clean and healthy behavior would the lower. Based on these results, required empower families, to restrict or control the giving of school pocket money, so it was not used for snack at random that was less hygienic. Moreover, increase in family involvement in shaping habits of clean and healthy behavior children, as well as cooperation with the school, and local health officials to tighten rules snack vending management around the school as well as to educate the sustainability both within the school and the child's school community.

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 distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Études des sciences et des technologies, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesMéta-épidémiologie (sens strict)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,613
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0020,002
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0020,001
Communication savante0,0000,001
Science ouverte0,0020,002
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0240,000

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.

Tête enseignante Opus0,009
Tête enseignante GPT0,212
Écart entre enseignants0,204 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2012
Routes d'admission1
Résumé présentoui

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