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School Injuries and Preventive Policies and Programs

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Abstract

Background

Injuries are a major source of morbidity and mortality throughout childhood and many occur on school premises. Differences in policies, programs and practises at the level of school boards or individual schools may account for some of the differences in injury rates among schools.

Methods

We used data from the Montreal Children’s Hospital to identify children injured at school. By telephone interview, we identified the school attended and calculated injury rates per school for the study year. A questionnaire to principals identified practises and programs. The two data sets were merged and the data analyzed using cross tabulations and logistic regression.

Results

Nearly one third of the 310 injured children required admission or follow up. Most involved falls, boys, 10–14 year olds, and sports. The variables associated with higher rates of injuries were: school board (English), proximity to hospital, wood gym flooring, gym use during breaks, presence of a playing field, frequent checks of field surface, and the presence of an injury prevention program. Using logistic regression, after controlling for all other variables in the model, only school board and distance to hospital remained significant.

Conclusion

These findings provide little support for the notion that school policies influence injury rates. If anything, they suggest that the reverse may be true; i.e., that injury rates help stimulate schools to take certain preventive actions. An alternative explanation is that many of the differences observed among schools simply reflect differences in the extent to which their pupils are exposed to the risk of injury because of, for example, the availability of sports facilities.

Résumé

Contexte

Les blessures sont une cause majeure de morbidité et de mortalité chez les enfants, et elles ont souvent lieu à l’école. Les différences dans les consignes, les programmes et les procédures des commissions scolaires ou des écoles pourraient peut-être expliquer au moins une partie des écarts dans les taux de blessure par école.

Méthode

Nous avons utilisé les données de l’Hôpital Sainte-Justine de Montréal pour répertorier les enfants blessés à l’école. À l’aide d’une entrevue téléphonique, nous avons identifié l’école fréquentée, puis calculé le taux de blessures par école pour l’année scolaire en question. Un questionnaire envoyé aux directeurs d’écoles nous a aidés à répertorier les consignes et les programmes utilisés. Les deux ensembles de données ont ensuite été regroupés, et les données analysées par recoupement et par régression logistique.

Résultats

Près du tiers des 310 enfants blessés ont dû être hospitalisés ou suivis. La plupart des blessures étaient liées aux chutes, au fait d’être un garçon, au fait d’avoir entre 10 et 14 ans et à la pratique des sports. Les variables liées à des taux de blessures plus élevés étaient: la commission scolaire (anglaise), la proximité de l’hôpital, un plancher de gymnase en bois, l’utilisation du gymnase durant les récréations, la présence d’un terrain de jeu, la fréquence élevée des vérifications du terrain de jeu et la présence d’un programme de prévention des blessures. Après l’application du modèle de régression logistique, et compte tenu de toutes les autres variables du modèle, les seuls liens significatifs qui ont subsisté étaient la commission scolaire et la proximité de l’hôpital.

Conclusion

Ces résultats ne permettent pas d’affirmer que les consignes scolaires ont une influence sur les taux de blessures. Ils suggèrent plutôt l’inverse, soit que des taux de blessure élevés poussent les écoles à prendre des mesures préventives. Il est possible également que bon nombre des écarts observés d’une école à l’autre tiennent uniquement à la mesure dans laquelle les élèves sont exposés à un risque de blessure, par exemple s’ils ont accès à des installations sportives.

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Correspondence to Ivan B. Pless MD.

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Gore, G.C., Magdalinos, H. & Pless, I.B. School Injuries and Preventive Policies and Programs. Can J Public Health 95, 424–428 (2004). https://doi.org/10.1007/BF03403986

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  • DOI: https://doi.org/10.1007/BF03403986

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