The geography of wellbeing across four longitudinal surveys

Transcription

1 National Centre for Longitudinal Data The geography of wellbeing across four longitudinal surveys David Dennis, Department of Social Services 13 th National Rural Health Conference Darwin, May 2015

2 National Centre for Longitudinal Data (NCLD) 2

3 Four Longitudinal Studies HILDA Wave 13 LSAC Wave 5 LSIC Wave 6 BNLA Wave 1 The geography of wellbeing across four longitudinal surveys 3

4 HILDA Waves

5 Better Mental Health in More Remote Areas Mental Health (SF-36) Worse Better Major city Inner Regional Area Outer Regional Area Remote/Very Remote Area The geography of wellbeing across four longitudinal surveys 5

6 Mental Health of Australians has Improved Mental Health (SF-36) Worse Better Major city Inner Regional Area Outer Regional Area Remote/Very Remote Area Australia The geography of wellbeing across four longitudinal surveys 6

7 Mental Health Improves With Age Mental Health (SF-36) Worse Better Major city Inner Regional Area Outer Regional Area Remote/Very Remote Area Australia Age The geography of wellbeing across four longitudinal surveys 7

8 Moving Location Improves Mental Health (Regardless of Remoteness) Moved to a LESS remote area Moving to a MORE remote area Mental Health (SF-36) Worse Better Wave before or after moving The geography of wellbeing across four longitudinal surveys 8

9 Moving Location Improves Mental Health (Regardless of Reasons for Moving) Mental Health (SF-36) Worse Better Moving for positive reasons Moving for negative reasons Wave before or after moving The geography of wellbeing across four longitudinal surveys 9

10 Other Health and Wellbeing data in HILDA Every Wave General health (SF-36, 0-100) Self assessed health Long-term health conditions and disability Selected Waves Psychological Distress (Waves 7, 9, 11 and 13) Diagnosed serious illness (e.g. depression) (Waves 9 and 13) Diet (Waves 7, 9 and 13) and life style Doctor and hospital visits (Waves 9 and 13) A wide range of socio-economic and demographic data The geography of wellbeing across four longitudinal surveys 10

11 LSAC Waves

12 B Cohort Children in Remote Areas Have Better Mental Health Mental Health (SDQ) Better Worse LSAC B Cohort (aged 8/9y) Major cities 8.6 Inner regional areas LSAC K Cohort (aged 12/13y) Outer regional areas Remote/very remote areas The geography of wellbeing across four longitudinal surveys 12

13 Remoteness Variation in Mental Health of Children Decreases With Age Mental Health (SDQ) Better Worse Major Cities Inner Regional Outer Regional Remote/Very Remote W1 (Age 4-5) W2 (Age 6-7) W3 (Age 8-9) W4 (Age 10-11) W5 (Age 12-13) The geography of wellbeing across four longitudinal surveys 13

14 Other Health and Wellbeing data in LSAC Children Health at birth (e.g. weight & length) General health, BMI Long-term medical conditions or disability Parents BMI Health conditions: both current and past (as a child or adult), such as arthritis and sight problems Disability and medical conditions (e.g. chronic pain, head injury) Mental health (e.g. K-6 Depression Scale) Services used (e.g. mental health services) The geography of wellbeing across four longitudinal surveys 14

15 LSIC Waves

16 Health and wellbeing data in LSIC Children Dental health and general health Health conditions (e.g. runny ears and asthma) Disability (e.g. intellectual and physical) Injury, sleeping problems and hospitalisation Australian Early Development Census Parents Health and health care during pregnancy General health Health conditions and disability Consumption of bush tucker The geography of wellbeing across four longitudinal surveys 16

17 BNLA Wave

18 Health and wellbeing data in BNLA Pre- and Post Migration Individual Health Physical Health Disability and long-term conditions Experiences of Trauma and PTSD Stress and Coping Immigration Experiences including Detention Family Settlement Issues Community Engagement and Community Support Life satisfaction A wide range of socio-economic information The geography of wellbeing across four longitudinal surveys 18

19 Cross-study Comparisons 19

20 Mental Health (Kessler 6) Better Worse Mental Health Problems are Higher Amongst Humanitarian Migrants City Inner regional/non city (BNLA only) Outer regional Remote/Very remote HILDA LSAC BNLA The geography of wellbeing across four longitudinal surveys 20

21 Indigenous Children Have Poorer Mental Health In Most Remoteness Areas Mental Health (SDQ) Better Worse LSIC K Cohort (aged around 9y) Major cities Inner regional areas LSAC B Cohort (aged 8/9y) Outer regional areas Remote/very remote areas The geography of wellbeing across four longitudinal surveys 21

22 Indigenous and Humanitarian Families Experience More Financial Hardship None One type Multiple types HILDA Households LSAC Families LSIC Families BNLA Families Per cent The geography of wellbeing across four longitudinal surveys 22

23 Future Potential and Conclusion 23

24 Future Potential and Conclusion Great potential for the application of the four datasets in research and policy development Need to take into account both people and places when developing health policies Comparison with other Australian and international data sources can enhance their value Longitudinal Survey of Australian Youth British Household Panel Survey Growing up in New Zealand More data linkages with administrative datasets The geography of wellbeing across four longitudinal surveys 24

25 Contribute to improving the lifetime wellbeing of Australians through research Website(s): Research: The geography of wellbeing across four longitudinal surveys 25

26 Thank you David Dennis Branch Manager Policy Evidence Branch, DSS The geography of wellbeing across four longitudinal surveys 26