Data · dataset · 2026
Prevalence, socio-demographic, and socio-economic factors associated with Gestational Diabetes in Australia: A Population Study
Listed in ZivaHub
Aims To examine the prevalence of gestational diabetes mellitus and associated socio-demographic and socio-economic factors in Victoria, Australia.
Description
Methods
A retrospective cohort study was conducted using data from the Victorian Perinatal Data Collection, a population-based dataset. The analysis included all women who gave birth in Victoria in 2020, excluding those with pre-existing diabetes. Associations between socio-demographic, obstetric, and area-level factors and gestational diabetes mellitus were assessed using mixed-effects Poisson regression to estimate relative risks with 95% confidence intervals.
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Results Overall, 18% of women who gave birth in Victoria in 2020 reported being diagnosed with gestational diabetes mellitus. Higher prevalence was reported in the most disadvantaged areas compared with the most advantaged areas. About of 19% of gestational diabetes mellitus cases were diagnosed before 20 weeks of gestation.
Women in the least disadvantaged areas had a significantly lower risk compared to those in the most disadvantaged areas (adjusted prevalence ratio (aPR) 0.62, 95% CI 0.57–0.67). Compared with women >35 years, younger women had lower gestational diabetes mellitus prevalence ratio: ≤20 (aPR 0.32, 95% CI 0.26–0.4), 21–25 (0.48, 0.45–0.52), 26–30 (0.61, 0.58–0.64), and 31–35 (0.77, 0.74–0.8). Grand multigravida women had a higher prevalence ratio than primigravida women (aPR 1.14, 95% CI 1.07–1.22).
Spatial analysis identified gestational diabetes mellitus hotspots in south-eastern Melbourne and western Victoria. Conclusions Gestational diabetes mellitus prevalence in Victoria shows geographic and area level disparities, highlighting the need for targeted public health interventions.
Links
Where it is published
- DOI doi.org/10.26187/deakin.34028328 ↗
DOI / persistent id · from zivahub uct ac za
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from zivahub uct ac za
Topics
- From keywords
- Clinical sciences · Earth & Environmental Science · Medicine & Health · Reproductive medicine · Social determinants of health · Social Science
- Inferred from text
- Longitudinal study 65%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ZivaHub | oai:figshare.com:article/34028328 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].anzsrc:field:420606 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Social Determinants of Health'] |
| concepts[field].anzsrc:group:3202 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Clinical sciences'] |
| concepts[field].anzsrc:group:3215 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Reproductive medicine'] |
| concepts[field].local:field:earth-environmental | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:social-science | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[method].local:method:longitudinal-study | enrichment · zivahub uct ac za | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/description |
| license | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/rights |
| publication_date | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| title | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/title |