Addressing gestational diabetes among Aboriginal and Torres Strait Islander women
Notice bibliographique
Résumé
Gestational diabetes mellitus (gestational diabetes) is increasing, with Indigenous populations particularly affected; causing serious complications in pregnancy, birth, and in the longer term for women and their children. Importantly, exposure to diabetes in-utero increases the diabetes risk for the infant, causing a compounding intergenerational effect. Recent gestational diabetes guidelines have particular implications for Aboriginal and Torres Strait Islander (Aboriginal) women, who are categorised as ‘high risk’ and advised to have screening in early pregnancy, in addition to 24–28 weeks as previously recommended. The aim of this thesis is to examine the extent to which the public health challenges posed by gestational diabetes are being met for Aboriginal and Torres Strait Islander women. A systematic review of the evidence for early screening for gestational diabetes among Indigenous women in Australia, Canada, New Zealand and the United States found the majority of studies describe high prevalences among Indigenous women, and high rates of complications for Indigenous women and their infants during pregnancy, birth, and the longer term. However, there is limited evidence of acceptable and effective screening, treatment, postpartum follow-up, or prevention for Indigenous women. Studies included in this thesis addressed evidence gaps identified in this review. The first study analysed national gestational diabetes trends among Aboriginal and non-Aboriginal women from 1990 to 2009, using midwives perinatal data. Crude and age-adjusted prevalences were higher in Aboriginal than non-Aboriginal women at all time-points (4.7% versus 3.1% in 1990–1999; 5.1% versus 4.5% in 2000–2009, p<0.0001). From 2000–2009, gestational diabetes prevalence increased significantly among Indigenous women by a mean 2.6% annually (ptrend<0.0001), and for non-Indigenous women by 3.2% annually (ptrend<0.0001). Gestational diabetes prevalence increased significantly with age (p<0.0001), although the increase with age was significantly greater among Aboriginal women compared to non-Aboriginal women (pinteraction<0.0001), highlighting an important period for prevention. A meta-analysis of cross-sectional studies showed similar prevalence rates, with substantial heterogeneity (I²=97%), and subgroup analysis suggests this is most likely related to variation in screening and diagnostic practice. A retrospective data-linkage study was conducted evaluating postpartum screening for type 2 diabetes for all women giving birth at Cairns Hospital from 2004–2010 with gestational diabetes. Despite a significant increase over time from 2004–2010 (HR 1.15 per year, 95% CI 1.08-1.22, p<0.0001), rates of postpartum oral glucose tolerance testing (OGTT) remained low, with significantly lower rates among Aboriginal, compared to non-Aboriginal, women (10% vs 27%, respectively, by six months postpartum in 2010). Aboriginal women in Cairns had longer times to postpartum OGTT than Aboriginal women in remote areas, and non-Aboriginal women with proxy measures for lower socio-economic status had longer times to postpartum OGTT, than other non-Aboriginal women. The challenges posed by gestational diabetes are clearly not being met for Aboriginal women. Consultation with Aboriginal communities and evaluation of new initiatives is vital to mitigate the risks associated with an insufficient evidence-base. Comprehensive strategies are urgently needed to improve postpartum care after gestational diabetes and to utilise the ‘window of opportunity’ for diabetes prevention among Aboriginal women during the childbearing years.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,010 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 source (Gemma direct ou Codex distillé), 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 ».