Notice bibliographique
Résumé
There is now well-established evidence that low birthweight has important health implications beyond infancy and childhood as suggested by the fetal origins of disease theory1. It postulates that in utero under-nutrition leads to permanent changes to the physiology and metabolism of the body, in part explaining the higher incidence of cardiovascular illnesses,2,3 stroke,4 and type 2 diabetes5 in that population. In addition, lower birthweight is associated with higher mortality rates from all causes6 . An area where the evidence is still in early stages is that of the link between birthweight and adult minor illnesses. These conditions include common cold and viral respiratory tract infections, headache and gastrointestinal disturbances and account for between 18-40% of the general practitioner’s time7,8. Minor illnesses also have significant economic impact. They were estimated to cost the UK’s National Health Service (NHS) $2.2 billion per year7 and lead to significant workabsenteeism9 . Such disease-related economic impact led not only to an emphasis on promoting self-care measures for minor ailments,10 but also an attempt to better understand its epidemiology. Previous work by Belingham-Young11 introduced the notion that birthweight may be related to adult minor illness. Until now, such notion only garnered limited attention and the current study by the same group filled this important knowledge gap12. In this cross-sectional retrospective cohort study, the authors used a minor illness checklist completed by 258 participants (219 female, 39 male) who identify themselves as having been born at term and knew their birthweight. A median split of the total scores was used to divide the participants into low and high minor illness groups. They were also grouped based on optimal (3,500 – 4,500 grams) and suboptimal birthweight (2540 – 3490 grams). Interestingly, minor illness scores were significantly lower for those in the optimal birthweight, and there was a significant negative correlation between birthweight and minor illness score. The authors argue that their findings have significant public health implications. Health care prevention initiatives favoring individuals of suboptimal birth weights may have a positive impact on the frequency and severity of minor infection-related illnesses. As suggested by the authors, targeting influenza vaccinations towards this high risk group may be cost-effective in terms of preventing complications associated with this infection. However, they also address some of the practical challenges of broad implementation of health policies based on birthweight, as such data is often limited to the patients’ chart. An Equilibrium Model is discussed that may help public health practitioners in identifying and prioritizing local implementation. The results of this study bear particular public health importance as there is tremendous focus on curbing rising health care costs, especially as many parts of the world are faced with an increasingly aging population13. Yet, there are a few points worth considering. Although in part Journal of Human Growth and Development 2013; 23(1): 7-10 EDITORIAL
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 ».