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Enregistrement W3112889159 · doi:10.1111/apa.15674

Drowning is a complex but preventable cause of child mortality

2020· letter· en· W3112889159 sur OpenAlexaboutno aff
Staffan Janson

Notice bibliographique

RevueActa Paediatrica · 2020
Typeletter
Langueen
DomaineMedicine
ThématiqueInjury Epidemiology and Prevention
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésAccidentalMedicineDemographyPopulationEnvironmental healthInjury preventionOccupational safety and healthPediatricsPoison controlChild mortalityMortality rateChinaMedical emergencyGeographySurgery

Résumé

récupéré en direct d'OpenAlex

According to the World Health Organization (WHO), 372 000 fatal drownings were reported globally in 2014. It stated that 90% of these occurred in low-income and middle-income countries, where the drowning rate was more than three times higher than in high-income countries. Over half of the people who drowned were under 25 years of age. For children aged 1-14 years, drowning is one of the top five causes of death and it is the main cause of accidental deaths for children under five years of age.1 As a comparison, the drowning death toll is almost two-thirds that of malnutrition.1 A 2020 paper from China on social and environmental risk factors for accidental drowning among children exemplified the current situation. The authors reported that most of the children who drowned were boys and 70% lived within 100 metres of a body of water. Drowning primarily occurred in ponds, canals, rivers and wells, and over 90% of those bodies of waters had no safety measures. Almost 90% of primary caregivers did not provide full-time care for the children, and 80% had no knowledge of first aid skills for resuscitation.2 Deaths from drowning are preventable and this fact has been demonstrated by Swedish injury data. In the early part of the 1900s, about 100 children per year drowned compared to 10 per year in the most recent decades, corresponding to 0.55 per 100 000 child population. Child drowning has shown a much steeper decrease than drowning in adults. This is especially true for children under 10 years of age, who nowadays constitute only a few per cent of all drowning deaths in Sweden.3, 4 Similar improvements are occurring throughout the world, particularly in high-income countries. An analysis of the WHO mortality database showed marked reductions, of between 13% and 80%, in unintentional drowning among children and adolescents during 2000-2013 in 20 of the 21 middle-income and high-income countries. Drowning in natural bodies of water was the primary cause in most countries, except for drowning in pools in the USA and in bathtubs in Japan.5 Encouraging results from universal preventive efforts are described in this issue of Acta Paediatrica in a paper by Peden et al They present a study about child drowning from three culturally similar high-income countries, Australia, New Zealand and Canada.6 The all-age crude fatal drowning rate in 2014 was lowest in Canada (0.92/100 000 child population) and highest in New Zealand (1.46/100 000). Over the 10-year period from 2005 to 2014, the study identified great reductions, of about 50%, in deaths among children below the age of five, who have been historically known to be at greatest risk of drowning. This is probably a result of sustained investment in multifaceted approaches to prevention, which include research on causal trends, increased public awareness and education, legislation and enforcement of regulations. Strengthening pool-fencing legislation is an example of evidence-informed policy that has reduced the risk of drowning for the youngest children. Unfortunately, there were upward trends for some adolescent groups in Australia and New Zealand, which appeared to have been driven by significant increases in drowning fatalities among females. As about 75% of those who drown are male children, information and interventions may have been aimed too specifically at boys. We do not know what strategies may be effective in reducing drowning risks for adolescent girls, according to Peden et al6 There is an obvious need to investigate this problem further, especially if it is not specific to Australia and New Zealand, but is a more general phenomenon in high-income countries. Case analyses of random samples of girls could probably provide a deeper understanding of the increase in fatal drownings. One plausible explanation could be that adolescent girls have become more similar to boys in recent decades, with regard to their behaviour and range of activities. In the Swedish study mentioned above, adolescent female cases of drowning associated with swimming under the influence of alcohol and drugs were recorded. There were also hidden cases of suicides among females.3 The study by Peden et al also pointed out a higher risk of drowning among Maori children, who were significantly overrepresented in drowning fatalities in New Zealand. In earlier studies, there were strong indications that refugee and migrant children were at increased risk of drowning.3, 7 Unfortunately, this could not be found in the coronial and drowning databases assembled by Peden et al6 Finally, the Peden study confirms that there was a higher risk of fatal drowning in children with pre-existing medical conditions3 and epilepsy, physical and mental disabilities and autism were the most common conditions. Drowning in children and adolescents is rarely the result of a single cause. Therefore, national prevention strategies need to be multifaceted, age adapted and culturally acceptable. Some actions are universal and proven to be effective, mainly those based on practical interventions like legislation concerning pool fencing, well and water tank covers, and personal protection devices like life vests for children. The WHO1 has suggested the following interventions for drowning prevention among children under five: wearing personal protection devices, fencing off bodies of water, using door barriers or playpens and supervising children in crèches. However, most of these interventions lack evidence of effectiveness in low- and middle-income settings, where most of the drowning deaths occur in natural waters and where fencing is rarely a practical solution, due to economic shortcomings. However, both playpens for children aged less than 18 months and crèches for pre-school children have proven to be effective in rural Bangladesh.8 Working with older children and adolescents is mainly a question of information, supervision and swimming education. Successful educational interventions should be content specific, age appropriate and tailored to the target group. Unfortunately, safety prevention messages often compete with other information, are often too content heavy and are delivered in a short space of time without opportunities for deeper discussions. In summary, there is an over reliance on education and information as an intervention strategy to prevent drowning, both with regard to parents and older children.9 Regions with cold winters have some specific problems, including drowning in ice-covered lakes. In Sweden, there is always a peak in drowning cases in March, when the ice becomes weak and insecure. On the other hand, there are great risks during extraordinary hot summers in the Nordic countries, when people swim much more than usual. This was the case in 2014 and 2018, when drowning in lakes and beaches doubled in Sweden compared to adjacent years. Injury prevention has to be an ongoing process, and it is important to safeguard evidence-based successes gained over several decades. At the same time, there is a need to observe changes in behaviour, technical development and environmental conditions. Examples could include adolescents’ eagerness to try new and potentially dangerous diving devices or crafts like water scooters. However, the greatest future problem globally is most likely to be climate change, with rising water levels and severe flooding in lowlands. Scientists with detailed knowledge of drowning prevention need to take part in the continued development of well-functioning safety measures, early warning systems and similar initiatives. We also have to be open to new approaches and use our knowledge to influence politicians and other important people in power, to protect children and adolescents from this preventable cause of death. None. Staffan Janson

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), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,106
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

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

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 Opus0,060
Tête enseignante GPT0,326
Écart entre enseignants0,266 · 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; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

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

En bref

Citations3
Publié2020
Routes d'admission1
Résumé présentoui

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