Literature DB >> 10745728

Tyranny of distance? The health of mid-age women living in five geographical areas of Australia.

W J Brown1, A F Young, J E Byles.   

Abstract

Over 14,000 women aged 45-50 are participating in the Australian Longitudinal Study on Women's Health, which is designed to track the health of Australian women for 20 years, and to understand lifestyle and healthcare factors that influence women's health. The study deliberately overrepresents women from rural and remote areas. This analysis of baseline data from the study compares the responses of women living in urban areas (capital city, other metropolitan), large rural centres, small rural centres, other rural areas and remote areas (remote centres, other remote areas) of Australia. The data show that while women in this age group who live in rural and remote areas have similar levels of self-rated health, they have significantly fewer visits to general practitioners and specialists (P < 0.001) and more visits to alternative healthcare providers than women living in urban areas. Rural and remote area women were also more likely to undergo gynaecological surgery than women living in urban areas (P < 0.001). Other results suggest that being overweight is more common among women from rural and remote areas, and that these women also report lower levels of stress than women from urban areas (P < 0.001). Further follow up will allow any divergence in health and healthcare equity to be explored as these women get older.

Entities:  

Mesh:

Year:  1999        PMID: 10745728     DOI: 10.1046/j.1440-1584.1999.00236.x

Source DB:  PubMed          Journal:  Aust J Rural Health        ISSN: 1038-5282            Impact factor:   1.662


  7 in total

1.  Unravelling the extent of inequalities in health across urban and rural areas: evidence from a national sample in England.

Authors:  Mylene Riva; Sarah Curtis; Lise Gauvin; James Fagg
Journal:  Soc Sci Med       Date:  2008-12-26       Impact factor: 4.634

2.  A two-county comparison of the HOUSES index on predicting self-rated health.

Authors:  Michael C Butterfield; Arthur R Williams; Tim Beebe; Dawn Finnie; Heshan Liu; Juliette Liesinger; Jeff Sloan; Philip H Wheeler; Barbara Yawn; Young J Juhn
Journal:  J Epidemiol Community Health       Date:  2010-05-03       Impact factor: 3.710

3.  Number of social roles, health, and well-being in three generations of Australian women.

Authors:  Christina Lee; Jennifer R Powers
Journal:  Int J Behav Med       Date:  2002

4.  Higher diet quality does not predict lower Medicare costs but does predict number of claims in mid-aged Australian women.

Authors:  Clare E Collins; Amanda Patterson; David Fitzgerald
Journal:  Nutrients       Date:  2011-01-07       Impact factor: 5.717

5.  Cohort study comparison of Mental Health and Wellbeing Services delivered by The Royal Flying Doctor Service, across Far North and Central West Queensland.

Authors:  Fergus Gardiner; Jocelyn Middleton; Shamela Perera; Mikayla Gunner; Leonid Churilov; Mathew Coleman; Lee Poole
Journal:  Lancet Reg Health West Pac       Date:  2022-02-02

6.  Dietary Nitrate and Diet Quality: An Examination of Changing Dietary Intakes within a Representative Sample of Australian Women.

Authors:  Jacklyn K Jackson; Amanda J Patterson; Lesley K MacDonald-Wicks; Catherine P Bondonno; Lauren C Blekkenhorst; Natalie C Ward; Jonathan M Hodgson; Julie E Byles; Mark A McEvoy
Journal:  Nutrients       Date:  2018-08-01       Impact factor: 5.717

7.  Change in Diet Quality over 12 Years in the 1946-1951 Cohort of the Australian Longitudinal Study on Women's Health.

Authors:  Jennifer N Baldwin; Peta M Forder; Rebecca L Haslam; Alexis J Hure; Deborah J Loxton; Amanda J Patterson; Clare E Collins
Journal:  Nutrients       Date:  2020-01-04       Impact factor: 5.717

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.