Dietary patterns and body mass index of Canadian Inuit communities in 1999 and 2008

Objectives: The International Polar Year (IPY) Inuit Health Survey provided an opportunity to compare dietary and body mass index (BMI) data with data collected a decade earlier for the same communities. Study design: A dietary survey included 1,929 randomly selected participants aged 15 years or older, selected from 18 Inuit communities in 1998-1999. The IPY survey included 2,595 randomly selected participants aged 18 years or older, selected from 36 Inuit communities in 2007-2008. Data from the same 18 communities included in both surveys were compared for adults 20 years and older. Methods: Twenty-four-hour dietary recall data were analysed to assess the percentage of energy from traditional and market foods by sex and age groups. Body mass index (BMI) was assessed to establish the prevalence of obesity by sex and age groups in both surveys. Results: There was a significant decrease (p<=0.05) in energy contribution from traditional food and a significant increase in market food consumption over time. Sugar-sweetened beverages, chips and pasta all increased as percentages of energy. BMI increased overall for women and for each age stratum evaluated (p<0.05). Conclusion: The nutrition transition continues in the Canadian Arctic with a concurrent increase in BMI.

Seagrass time-series analysis products, in Moreton Bay, Australia, with links to GeoTIFFs

The spatial and temporal dynamics of seagrasses have been well studied at the leaf to patch scales, however, the link to large spatial extent landscape and population dynamics is still unresolved in seagrass ecology. Traditional remote sensing approaches have lacked the temporal resolution and consistency to appropriately address this issue. This study uses two high temporal resolution time-series of thematic seagrass cover maps to examine the spatial and temporal dynamics of seagrass at both an inter- and intra-annual time scales, one of the first globally to do so at this scale. Previous work by the authors developed an object-based approach to map seagrass cover level distribution from a long term archive of Landsat TM and ETM+ images on the Eastern Banks (~200 km**2), Moreton Bay, Australia. In this work a range of trend and time-series analysis methods are demonstrated for a time-series of 23 annual maps from 1988 to 2010 and a time-series of 16 monthly maps during 2008-2010. Significant new insight was presented regarding the inter- and intra-annual dynamics of seagrass persistence over time, seagrass cover level variability, seagrass cover level trajectory, and change in area of seagrass and cover levels over time. Overall we found that there was no significant decline in total seagrass area on the Eastern Banks, but there was a significant decline in seagrass cover level condition. A case study of two smaller communities within the Eastern Banks that experienced a decline in both overall seagrass area and condition are examined in detail, highlighting possible differences in environmental and process drivers. We demonstrate how trend and time-series analysis enabled seagrass distribution to be appropriately assessed in context of its spatial and temporal history and provides the ability to not only quantify change, but also describe the type of change. We also demonstrate the potential use of time-series analysis products to investigate seagrass growth and decline as well as the processes that drive it. This study demonstrates clear benefits over traditional seagrass mapping and monitoring approaches, and provides a proof of concept for the use of trend and time-series analysis of remotely sensed seagrass products to benefit current endeavours in seagrass ecology.