Knowledge and Attitude Regarding Major Risk Factors of Cardiovascular Diseases among 15-19 Year Old Students of Kathmandu District
Notice bibliographique
Résumé
Background: Cardiovascular diseases are the leading cause of morbidity and mortality worldwide. Studies have shown that some people are at greater risk of developing cardiovascular disease than others. The major factors which increase the risks are tobacco chewing/smoking, raised blood cholesterol level, high blood pressure, physical inactivity, overweight and obesity, excessive alcohol consumption, age, sex and heredity. Although cardiovascular diseases typically occur in middle age or later, risk factors are determined to a great extent by behaviours learnt in childhood and continued into adulthood. Throughout the world, these risks are starting to appear earlier. Findings of various studies worldwide suggested that adolescents lacked knowledge regarding the risk of cardiovascular diseases and did not perceive themselves at risk for cardiovascular diseases. Methodology: A cross-sectional study was conducted among 144 adolescent students of grade XI and XII in one public and one private higher secondary schools of Kathmandu district. Samples were chosen purposively. Data were collected with the help of semi structured self administered questionnaire. Questionnaire was based on Likert scale. Data analysis was performed by using Statistical Package for Social Science - 17.0 for windows. Results: Overall 36.8 percent of respondents had good knowledge, 55.6 percent had fair knowledge and the remaining 7.6 percent had poor knowledge regarding the major risk factors of cardiovascular diseases. Sources of health information was found statistically significant (p=0.004) with the knowledge of respondents. Regarding overall attitude, the majority (47.9%) had the neutral attitude followed by positive (31.9%) and one fifth possessed negative attitude. Knowledge versus attitude regarding the major risk factors of cardiovascular diseases was found statistically significant (p=0.002). Conclusion: Results of this study revealed that good knowledge as well as positive attitude towards major risk factors of cardiovascular diseases among the adolescent students is unsatisfactory. Socio-demographic factors for good knowledge and good knowledge for the development of positive attitude play vital role. DOI: http://dx.doi.org/10.3126/hprospect.v11i0.7422 Health Prospect 2012;11:7-10
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 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) | 0,001 | 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 | 0,000 |
| 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.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».