Talk:Australian Statistics
2013
Pregnancy And Neonatal Diabetes Outcomes in Remote Australia (PANDORA) Study
BMC Pregnancy Childbirth. 2013 Dec 1;13:221. doi: 10.1186/1471-2393-13-221.
Maple-Brown LJ, Brown A, Lee IL, Connors C, Oats J, McIntyre HD, Whitbread C, Moore E, Longmore D, Dent G, Corpus S, Kirkwood M, Svenson S, van Dokkum P, Chitturi S, Thomas S, Eades S, Stone M, Harris M, Inglis C, Dempsey K, Dowden M, Lynch M, Boyle J, Sayers S, Shaw J, Zimmet P, O'Dea K. Author information
Abstract
BACKGROUND: Diabetes in pregnancy carries an increased risk of adverse pregnancy outcomes for both the mother and foetus, but it also provides an excellent early opportunity for intervention in the life course for both mother and baby. In the context of the escalating epidemic of chronic diseases among Indigenous Australians, it is vital that this risk is reduced as early as possible in the life course of the individual. The aims of the PANDORA Study are to: (i) accurately assess rates of diabetes in pregnancy in the Northern Territory (NT) of Australia, where 38% of babies are born to Indigenous mothers; (ii) assess demographic, clinical, biochemical, anthropometric, socioeconomic and early life development factors that may contribute to key maternal and neonatal birth outcomes associated with diabetes in pregnancy; and (iii) monitor relevant post-partum clinical outcomes for both the mothers and their babies.
METHODS/DESIGN: Eligible participants are all NT women with diabetes in pregnancy aged 16 years and over. Information collected includes: standard antenatal clinical information, diagnosis and management of diabetes in pregnancy, socio-economic status, standard clinical birth information (delivery, gestational age, birth weight, adverse antenatal and birth outcomes). Cord blood is collected at the time of delivery and detailed neonatal anthropometric measurements performed within 72 hours of birth. Information will also be collected regarding maternal post-partum glucose tolerance and cardio-metabolic risk factor status, breastfeeding and growth of the baby up to 2 years post-partum in the first instance.
DISCUSSION: This study will accurately document rates and outcomes of diabetes in pregnancy in the NT of Australia, including the high-risk Indigenous Australian population. The results of this study should contribute to policy and clinical guidelines with the goal of reducing the future risk of obesity and diabetes in both mothers and their offspring.
PMID 24289168
Age, mode of conception, health service use and pregnancy health: a prospective cohort study of Australian women
BMC Pregnancy Childbirth. 2013 Apr 8;13:88. doi: 10.1186/1471-2393-13-88.
Fisher J, Wynter K, Hammarberg K, McBain J, Gibson F, Boivin J, McMahon C. Source Jean Hailes Research Unit, School of Public Health and Preventive Medicine, Monash University, Clayton, , Victoria, 3168, Australia. jane.fisher@monash.edu. Abstract BACKGROUND: There is limited evidence about the ways in which maternal age and mode of conception interact with psychological, sociodemographic, health and health service factors in governing pregnancy health. The aim of this study was to establish in what ways maternal age and mode of conception are associated with, health behaviours, health service use and self-rated physical and mental health during pregnancy. METHOD: A prospective cohort study was conducted in a collaboration between universities, infertility treatment services and public and private obstetric hospitals in Melbourne and Sydney, Australia,. Consecutive cohorts of nulliparous English-literate women at least 28 weeks pregnant who had conceived through ART (ARTC) or spontaneously (SC) in three age-groups: 20-30; 31-36 and at least 37 years were recruited. Data were obtained via structured individual telephone interviews and self-report postal questionnaires at recruitment and four months postpartum. Study-specific questions assessed: sociodemographic characteristics; reproductive health; health behaviours and health service use. Standardized instruments assessed physical health: SF 12 Physical Component Score (PCS) and mental health: SF12 Mental Component Score (MCS); State Trait Anxiety Inventory and Edinburgh Postnatal Depression Scale. The main outcome measures were the SF 12 PCS, SF12 MCS scores and pregnancy-related hospital admissions. RESULTS: Of 1179 eligible women 791 (67%) participated, 27 had fertility treatment without oocyte retrieval and were excluded and 592/764 (78%) completed all pregnancy assessments. When other factors were controlled speaking a language other than English, having private health insurance and multiple gestation were associated with worse physical health and having private health insurance and better physical health were associated with better mental health. Pregnancy-related hospital admissions were associated with worse physical health and multiple gestation. CONCLUSIONS: Maternal age and mode of conception are not associated with pregnancy health and health service use when sociodemographic factors are considered.
PMID 23565589
Perinatal Statistics Unit National Perinatal Statistics Unit | Queensland | South Australia | Teenage Pregnancies South Australia | ACT | New South Wales | Northern Territory | Western Australia | Tasmania
Kolling Institute of Medical Research (RNS) - Clinical and Population Perinatal Health Research http://www.kolling.usyd.edu.au/research/clinical-population-perinatal/index.php | Professor Jonathan Morris
Australian BS
3301.0 - Births, Australia, 2011 Quality Declaration LATEST ISSUE Released at 11:30 AM (CANBERRA TIME) 25/10/2012
http://www.abs.gov.au/AUSSTATS/abs@.nsf/Lookup/3301.0Main+Features12011?OpenDocument
http://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/3301.02011?OpenDocument
Indigenous population (ABS data)
http://www.abs.gov.au/ausstats/abs@.nsf/Products/946D4BC28DB92E1BCA25762A001CBF38?opendocument
The estimated resident Indigenous population of Australia at 30 June 1991 was 351,000 people. In 2006, there were 517,000 people, representing 2.5% of the total Australian population. Between 1991 and 2006 the Indigenous population increased by 2.6% per year on average, compared with 1.2% for the total Australian population.
The Indigenous population has a relatively young age structure. Between 1991 and 2006 the median age of the Indigenous population is estimated to have increased from 20.1 to 21.0 years, and is projected to increase to between 23.9 and 24.1 years in 2021.
National best practice guidelines for collecting Indigenous status in health data sets
AIHW 2010. National best practice guidelines for collecting Indigenous status in health data sets. Cat. no. IHW 29. Canberra: AIHW. http://www.aihw.gov.au/publication-detail/?id=6442468342&tab=2
In the event of a birth
For perinatal data collections, the mother’s Indigenous status should be asked directly of the mother, regardless of the information separately recorded in the hospital database. Some service providers in some jurisdictions separately ascertain and record the Indigenous status of both the mother and of the newborn baby. While the Indigenous status of the baby is not currently a requirement for perinatal data collections, this may become a requirement in future. If the Indigenous status of the newborn is to be collected, the mother should be asked to provide this information for herself and for her baby. It should not be assumed that the baby’s status is the same as that of the mother. If the mother has not reported her status as Aboriginal or Torres Strait Islander, it should not be assumed that the newborn is therefore not of Aboriginal and/or Torres Strait Islander origin.
Population Data Neighbours
|
|
|
New Zealand |
Indonesia |
Papua |
Singapore |
Malaysia |
|
Population |
18,613,087 |
3,625,388 |
212,941,810 |
4,599,785 |
3,490,356 |
20,932,901 |
|
Age structure | ||||||
|
0-14 years: |
21% |
23% |
31% |
40% |
21% |
36% |
|
15-64 years: |
66% |
65% |
65% |
57% |
72% |
60% |
|
65 years +: |
13% |
12% |
4% |
3% |
7% |
4% |
|
Population growth rate |
0.93% |
1.04% |
1.49% |
2.27% |
1.2% |
2.11% |
|
Birth rate |
13.47 |
14.89 |
23.1 |
32.37 |
13.79 |
26.5 |
|
Death rate |
6.89 |
7.6 |
8.22 |
9.65 |
4.68 |
5.36 |
|
Sex ratio (male(s)/female) | ||||||
|
at birth: |
1.06 |
1.05 |
1.05 |
1.05 |
1.08 |
1.06 |
|
under 15 years: |
1.05 |
1.05 |
1.03 |
1.05 |
1.06 |
1.05 |
|
15-64 years: |
1.02 |
1.01 |
0.99 |
1.09 |
1 |
1 |
|
65 years +: |
0.77 |
0.76 |
0.79 |
0.84 |
0.8 |
0.77 |
|
Infant mortality rate |
5.26 |
6.37 |
59.23 |
57.09 |
3.87 |
22.45 |
|
Life expectancy at birth (years) | ||||||
|
total population: |
79.89 |
77.55 |
62.49 |
58.06 |
78.49 |
70.36 |
|
male: |
76.95 |
74.35 |
60.28 |
57.18 |
75.46 |
67.35 |
|
female: |
82.98 |
80.91 |
64.81 |
58.98 |
81.77 |
73.56 |
|
Total fertility rate (children born/woman) |
1.82 |
1.91 |
2.61 |
4.26 |
1.46 |
3.37 |
Historic Country Data (July 1998)
|
|
|
|
|
|
|
|
|
Population |
18,613,087 |
270,311,756 |
58,970,119 |
82,079,454 |
1,236,914,658 |
984,003,683 |
|
Age structure | ||||||
|
0-14 years: |
21% |
22% |
19% |
16% |
26% |
34% |
|
15-64 years: |
66% |
66% |
65% |
68% |
68% |
61% |
|
65 years +: |
13% |
12% |
16% |
16% |
6% |
5% |
|
Population growth rate |
0.93% |
0.87% |
0.25% |
0.02% |
0.83% |
1.71% |
|
Birth rate |
13.47 |
14.4 |
12.01 |
8.84 |
15.73 |
25.91 |
|
Death rate |
6.89 |
8.8 |
10.72 |
10.77 |
6.99 |
8.69 |
|
Sex ratio (male(s)/female) | ||||||
|
at birth: |
1.06 |
1.05 |
1.05 |
2.08 |
1.15 |
1.05 |
|
under 15 years: |
1.05 |
1.05 |
1.05 |
1.06 |
1.13 |
1.06 |
|
15-64 years: |
1.02 |
0.99 |
1.01 |
1.05 |
1.07 |
1.08 |
|
65 years +: |
0.77 |
0.7 |
0.7 |
0.59 |
0.88 |
1.04 |
|
Infant mortality rate |
5.26 |
6.44 |
5.87 |
5.2 |
45.46 |
63.14 |
|
Life expectancy at birth (years) | ||||||
|
total population: |
79.89 |
76.13 |
77.19 |
76.99 |
69.59 |
62.9 |
|
male: |
76.95 |
72.85 |
74.57 |
73.83 |
68.32 |
62.11 |
|
female: |
82.98 |
79.58 |
79.96 |
80.33 |
71.06 |
63.73 |
|
Total fertility rate (children born/woman) |
1.82 |
2.07 |
1.7 |
1.25 |
1.8 |
3.24 |
