scholarly journals Predictors of change in depressive symptoms over time: Results from the Australian Longitudinal Study on Women's Health

2019 ◽  
Vol 245 ◽  
pp. 771-778 ◽  
Author(s):  
Libby Holden ◽  
Meredith Harris ◽  
Richard Hockey ◽  
Alize Ferrari ◽  
Yong Yi Lee ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Longitudinal Study ◽  
Women’S Health ◽  
Women's Health ◽  
Australian Longitudinal Study ◽  
Over Time ◽  
Predictors Of Change

scholarly journals Increasing Fruit and Vegetable Variety over Time Is Associated with Lower 15-Year Healthcare Costs: Results from the Australian Longitudinal Study on Women’s Health

Nutrients ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 2829
Author(s):  
Jennifer N. Baldwin ◽  
Lee M. Ashton ◽  
Peta M. Forder ◽  
Rebecca L. Haslam ◽  
Alexis J. Hure ◽  
...  
Keyword(s):  
Longitudinal Study ◽  
Women’S Health ◽  
Women's Health ◽  
Healthcare Costs ◽  
Epidemiological Studies ◽  
Healthy Weight ◽  
Fruit And Vegetable ◽  
Australian Longitudinal Study ◽  
Point Increase ◽  
Over Time

Healthcare costs are lower for adults who consume more vegetables; however, the association between healthcare costs and fruit and vegetable varieties is unclear. Our aim was to investigate the association between (i) baseline fruit and vegetable (F&V) varieties, and (ii) changes in F&V varieties over time with 15-year healthcare costs in an Australian Longitudinal Study on Women’s Health. The data for Survey 3 (n = 8833 women, aged 50–55 years) and Survey 7 (n = 6955, aged 62–67 years) of the 1946–1951 cohort were used. The F&V variety was assessed using the Fruit and Vegetable Variety (FAVVA) index calculated from the Cancer Council of Victoria’s Dietary Questionnaire for Epidemiological Studies food frequency questionnaire. The baseline FAVVA and change in FAVVA were analysed as continuous predictors of Medicare claims/costs by using multiple regression analyses. Healthy weight women made, on average, 4.3 (95% confidence interval (CI) 1.7–6.8) fewer claims for every 10-point-higher FAVVA. Healthy weight women with higher fruit varieties incurred fewer charges; however, this was reversed for women overweight/obese. Across the sample, for every 10-point increase in FAVVA over time, women made 4.3 (95% CI 1.9–6.8) fewer claims and incurred $309.1 (95% CI $129.3–488.8) less in charges over 15 years. A higher F&V variety is associated with a small reduction in healthcare claims for healthy weight women only. An increasing F&V variety over time is associated with lower healthcare costs.

scholarly journals Change in Diet Quality over 12 Years in the 1946–1951 Cohort of the Australian Longitudinal Study on Women’s Health

Nutrients ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 147 ◽  
Author(s):  
Jennifer N. Baldwin ◽  
Peta M. Forder ◽  
Rebecca L. Haslam ◽  
Alexis J. Hure ◽  
Deborah J. Loxton ◽  
...  
Keyword(s):  
Longitudinal Study ◽  
Women’S Health ◽  
Women's Health ◽  
Diet Quality ◽  
Risk Groups ◽  
Healthy Weight ◽  
Regression To The Mean ◽  
Australian Longitudinal Study ◽  
Nationally Representative ◽  
Over Time

Understanding patterns of dietary change over time can provide important information regarding population nutrition behaviours. The aims were to investigate change in diet quality over 12 years in a nationally representative sample of women born in 1946–1951 and to identify characteristics of women whose diet quality changed over time. The Australian Recommended Food Score (ARFS) was measured in 2001 (n = 10,629, mean age 52.1 years) and 2013 (n = 9115; n = 8161 for both time points) for the mid-aged cohort from the Australian Longitudinal Study on Women’s Health. Participants were categorised by tertiles of baseline diet quality and also classified as ‘diet quality worsened’ (ARFS decrease ≤ −4 points, n = 2361), ‘remained stable’ (−3 ≤ change in ARFS ≤ 3 points, n = 3077) or ‘improved’ (ARFS increase ≥ 4 points, n = 2723). On average, ARFS total and subscale scores remained relatively stable over time (mean [SD] change 0.3 [7.6] points) with some regression to the mean. Women whose diet quality worsened were more likely to be highly physically active at baseline compared with women whose diet quality improved (p < 0.001). Among women with poor diet quality initially (lowest baseline ARFS tertile, n = 2451, mean [SD] baseline ARFS 22.8 [4.5] points), almost half (47%, n = 1148) had not improved after 12 years, with women less likely to be in the healthy weight range (41% compared to 44%) and be never smokers (56% versus 62%, p < 0.05) compared with those whose diet improved. Diet quality remained relatively stable over 12 years’ follow up among mid-aged women. Almost half of those with poor baseline diet quality remained poor over time, emphasizing the need to target high-risk groups for nutrition interventions.

scholarly journals Twenty Years of Data Linkage in The Australian Longitudinal Study on Women’s Health

2020 ◽  
Vol 5 (5) ◽  
Author(s):  
Colleen Loos ◽  
Gita Mishra ◽  
Annette Dobson ◽  
Leigh Tooth
Keyword(s):  
Longitudinal Study ◽  
Data Collection ◽  
Women’S Health ◽  
Women's Health ◽  
Linked Data ◽  
Data Linkage ◽  
Data Access ◽  
National Study ◽  
Australian Longitudinal Study ◽  
Data Collections

IntroductionLinked health record collections, when combined with large longitudinal surveys, are a rich research resource to inform policy development and clinical practice across multiple sectors. Objectives and ApproachThe Australian Longitudinal Study on Women’s Health (ALSWH) is a national study of over 57,000 women in four cohorts. Survey data collection commenced in 1996. Over the past 20 years, ALSWH has also established an extensive data linkage program. The aim of this poster is to provide an overview of ALSWH’s program of regularly up-dated linked data collections for use in parallel with on-going surveys, and to demonstrate how data are made widely available to research collaborators. ResultsALSWH surveys collect information on health conditions, ageing, reproductive characteristics, access to health services, lifestyle, and socio-demographic factors. Regularly updated linked national and state administrative data collections add information on health events, health outcomes, diagnoses, treatments, and patterns of service use. ALSWH’s national linked data collections, include Medicare Benefits Schedule, Pharmaceutical Benefits Scheme, the National Death Index, the Australian Cancer Database, and the National Aged Care Data Collection. State and Territory hospital collections include Admitted Patients, Emergency Department and Perinatal Data. There are also substudies, such as the Mothers and their Children’s Health Study (MatCH), which involves linkage to children’s educational records. ALSWH has an internal Data Access Committee along with systems and protocols to facilitate collaborative multi-sectoral research using de-identified linked data. Conclusion / ImplicationsAs a large scale Australian longitudinal multi-jurisdictional data linkage and sharing program, ALSWH is a useful model for anyone planning similar research.

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