[Sociodemographic and environmental factors associated with sports physical activity in the urban population of Peru].
Notice bibliographique
Résumé
OBJECTIVES: To determine the frequency of sports physical activity in the urban population of Peru and to identify the sociodemographic, economic, and environmental factors associated with that activity. METHODS: This study utilized information collected by the country's National Household Survey (Encuesta Nacional de Hogares) in the second quarter of 1997. That Survey is overseen by Peru's National Institute of Statistics and Informatics (Instituto Nacional de Estadística e Informática). The Survey was based on a probabilistic, multistage sample that was stratified for all the urban areas of the country, which was divided into eight geographic regions: metropolitan Lima, northern coast, central coast, southern coast, northern mountains, central mountains, southern mountains, and jungle. In total, 14 913 homes were visited and 45 319 people at least 15 years of age were interviewed. The frequency of engaging in sports physical activity was classified as daily, every other day, weekly, or occasional. "Regular sports activity" (RSA) was defined as engaging in sports either every day or every other day. The preferences for and obstacles to sports practice were also examined. A descriptive analysis of the levels of RSA was carried out for gender, using the chi-square test. The factors associated with RSA were analyzed through conditional multiple logistic regression and analysis of residuals, multicollinearity, and interactions. The level of significance was set at P < 0.05. RESULTS: Practicing sports at least once a week was more common among men (44.5%) than among women (32.4%), and the same was true for RSA (12.8% versus 10.5%). The age group with the highest level of RSA was 50-55 years for men (20%), and 40-45 years for women (18%). RSA was most common in three geographic regions: jungle (15.3%), central mountains (12.8%), and central coast (12.1%). RSA was least common in two regions: southern mountains (9.7%) and metropolitan Lima (10.6%). The income bracket was not associated with RSA. However, other variables associated indirectly with the socioeconomic level - such as having more formal education, being employed, and having access to the Internet or cable television - and consumption of sports information were significantly and directly associated with RSA. The most frequent barriers to practicing sports were the lack of time, the lack of nearby sports infrastructure (playing fields or courts, etc.), and people's lack of interest. RSA on the part of the members of a household was significantly associated with RSA performed by the head of the household (male or female). CONCLUSIONS: RSA is limited in the urban areas of Peru. This is most true for persons who are less than 30 years old, for women, and for residents of the Lima metropolitan area. This low RSA level is a challenge for public health, and it confirms the need for promoting active lifestyles. More study is needed on the observed positive influence when the head of the household performs RSA and on the fact that RSA is more common in urban areas outside metropolitan Lima. These two findings should also be taken into consideration in designing specific interventions.
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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) | 0,000 | 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.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».