scholarly journals Inclusion of mobile telephone numbers into an ongoing population health survey in New South Wales, Australia, using an overlapping dual-frame design: impact on the time series

2014 ◽  
Vol 7 (1) ◽  
Author(s):  
Margo L Barr ◽  
Raymond A Ferguson ◽  
David G Steel
2020 ◽  
Vol 23 (11) ◽  
pp. 1857-1867
Author(s):  
Paraskevi Drakoulidou ◽  
Bradley Drayton ◽  
Leah Shepherd ◽  
Seema Mihrshahi

AbstractObjective:To determine the prevalence and sociodemographic factors associated with food insecurity in the state of New South Wales (NSW), Australia.Design:Cross-sectional analysis of food insecurity data collected by the NSW Population Health Survey between 2003 and 2014. Multiple logistic regression was used to examine associations with key sociodemographic variables.Setting:NSW, Australia.Participants:212 608 survey participants responded to the food insecurity survey question between 2003 and 2014. 150 767 of them were aged ≥16 years. The survey sample was randomly selected and weighted to be representative of the NSW population.Results:On average 6 % of adults aged ≥16 years experienced food insecurity in NSW. The odds of food insecurity appeared to increase from one survey year to the next by a factor of 1·05. Food insecurity was found to be independently associated with age, sex, marital status, household size, education, employment status, household income, smoking status, alcohol intake and self-rated health. The association with income, smoking status and self-rated health appeared to be the strongest among all covariates and showed a gradient effect. Food insecurity appeared to increase significantly between the age of 16 and 19 years.Conclusions:The prevalence of food insecurity appears to be rising over time. Given the negative health consequences of food insecurity, more rigorous measurement and monitoring of food insecurity in NSW and nationally is strongly recommended. The findings provide support for interventions targeting low-income and younger population groups.


1982 ◽  
Vol 33 (6) ◽  
pp. 945 ◽  
Author(s):  
IG Eliot ◽  
DJ Clarke

A 5-year set of profile data from Warilla Beach, N.S.W., measured fortnightly, has been statistically analysed by using Fourier transform, least-squares, and empirical orthogonal function (eigenfunction or EOF) techniques to identify characteristic patterns of temporal and spatial variation in the sediment volume of the subaerial beach. Least-squares analysis enabled separation of the variation in the subaerial beach at Warilla into a 5-year trend, periodic fluctuations and aperiodic events. The periodic fluctuations are dominated by biennial and annual components. The biennial component accounts for 40% of the sediment budget of the subaerial beach, the annual component 30%, 13% is due to the long-term trend over the 5 years, and about 20% is estimated as aperiodic fluctuations mainly related to changes in the wave regime. Phase differences were identified for periodic oscillations on adjacent beach segments and a chronology of change in sediment volume deduced from the phase differences. The results show that variation in the sediment volume of the subaerial beach is determined by interaction between the biennial and seasonal exchanges although the resulting pattern of exchange may be obscured by higher-frequency beach changes. In alternate years the focus of onshore-offshore sediment exchange shifts from the centre of the beach to the exposed, northern sector. The major depositional zone associated with this exchange is located on the southern+entral sector of the beach and the major erosion zone is on the northern part of the beach. The pattern of alongshore sediment exchange was more closely investigated by EOF analysis. The method facilitated separation of onshore-offshore and alongshore modes of sediment transfer and identification of the patterns of alongshore sediment exchange. The first four EOF's for the data on the subaerial beach at Warilla contain 95.3% of the total variance. The fundamental pattern of sediment movement identified in the EOF analysis involves an onshore-offshore transfer of sediment in biennial, seasonal and 6-monthly cycles. The transfer accounts for 61.7% of the variance for the sediment store of the subaerial beach. The amplitude spectrum of the associated time series for this eigenfunction mode shows that the biennial component is dominant. This result supports the results from the least-squares analysis. It could not have been anticipated from previous studies of beach change from New South Wales or elsewhere and is the subject of ongoing investigation. Subsequent eigenfunction modes identify alongshore movements, with three patterns accounting for a further 33.8% of the remaining variance. They are associated with the prevailing system of inshore water circulation and identify major, recurrent rip and bar locations. Time series associated with the eigenfunction modes confirm the dominance of biennial, annual, and biannual sediment transfers occurring on Warilla Beach.


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