Sociodemographic correlates of the increasing trend in prevalence of gestational diabetes mellitus in a large population of women between 1995 and 2005.
OBJECTIVE
Gestational diabetes mellitus (GDM) is an increasingly prevalent risk factor for the development of type 2 diabetes in the mother and is responsible for morbidity in the child. To better identify women at risk of developing GDM we examined sociodemographic correlates and changes in the prevalence of GDM among all births between 1995 and 2005 in Australia's largest state.


METHODS
A computerized database of all births (n = 956,738) between 1995 and 2005 in New South Wales, Australia, was used in a multivariate logistic regression that examined the association between sociodemographic characteristics and the occurrence of GDM.


RESULTS
Between 1995 and 2005, the prevalence of GDM increased by 45%, from 3.0 to 4.4%. Women born in South Asia had the highest adjusted odds ratio (OR) of any region (4.33 [95% CI 4.12-4.55]) relative to women born in Australia. Women living in the three lowest socioeconomic quartiles had higher adjusted ORs for GDM relative to women in the highest quartile (1.54 [1.50-1.59], 1.74 [1.69-1.8], and 1.65 [1.60-1.70] for decreasing socioeconomic status quartiles). Increasing age was strongly associated with GDM, with women aged >40 years having an adjusted OR of 6.13 (95% CI 5.79-6.49) relative to women in their early 20s. Parity was associated with a small reduced risk. There was no association between smoking and GDM.


CONCLUSIONS
Maternal age, socioeconomic position, and ethnicity are important correlates of GDM. Future culturally specific interventions should target prevention of GDM in these high-risk groups.
Anna
Vibeke
V
The George Institute for International Health and School of Public Health, University of Sydney, Sydney, Australia.
van der Ploeg
Hidde P
HP
Cheung
N Wah
NW
Huxley
Rachel R
RR
Bauman
Adrian E
AE
D000328:Adult; D000367:Age Factors; D016640:Diabetes, Gestational / Q000453:epidemiology*; D005260:Female; D006801:Humans; D016015:Logistic Models; D009517:New South Wales / Q000453:epidemiology; D011247:Pregnancy; D015995:Prevalence; D012307:Risk Factors; D012959:Socioeconomic Factors