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Scalable methods are required for population dietary monitoring. The Supermarket Transaction Records In Dietary Evaluation (STRIDE) study compares dietary estimates from supermarket transactions with an online FFQ.
Design:
Participants were recruited in four waves, accounting for seasonal dietary variation. Purchases were collected for 1 year during and 1 year prior to the study. Bland–Altman agreement and limits of agreement (LoA) were calculated for energy, sugar, fat, saturated fat, protein and sodium (absolute and relative).
Setting:
This study was partnered with a large UK retailer.
Participants:
Totally, 1788 participants from four UK regions were recruited from the retailer’s loyalty card customer database, according to breadth and frequency of purchases. Six hundred and eighty-six participants were included for analysis.
Results:
The analysis sample were mostly female (72 %), with a mean age of 56 years (sd 13). The ratio of purchases to intakes varied depending on amounts purchased and consumed; purchases under-estimated intakes for smaller amounts on average, but over-estimated for larger amounts. For absolute measures, the LoA across households were wide, for example, for energy intake of 2000 kcal, purchases could under- or over-estimate intake by a factor of 5; values could be between 400 kcal and 10000 kcal. LoA for relative (energy-adjusted) estimates were smaller, for example, for 14 % of total energy from saturated fat, purchase estimates may be between 7 % and 27 %.
Conclusions:
Agreement between purchases and intake was highly variable, strongest for smaller loyal households and for relative values. For some customers, relative nutrient purchases are a reasonable proxy for dietary composition indicating utility in population-level dietary research.
Unprecedented climate change, pollutants and habitat alterations are causing abiotic stress across all plants and animals. Global increases in temperature, as well as decreases in pH in the ocean, have already caused microbiome dysbiosis in a range of species, and previously commensal microbes have turned pathogenic in response to extreme environmental conditions. This will have far-reaching consequences for host survival and associated ecosystem functions. However, host microbiomes may actually be the key to buffering these unprecedented environmental changes. The host microbiome contains massive genetic potential, and their vast numbers, high turnover, wide metabolic scope and short generation times may afford opportunities for faster acclimatisation and adaptation. Examples of this already exist, although responses are likely to be highly context-dependent. It is becoming increasingly clear that preservation of the microbiome is likely to be the key to maintaining healthy ecosystems in an uncertain future. However, there are still large knowledge gaps in almost every area, which need to be urgently addressed so we can apply conservation efforts in a judicious manner.
A classic example of microbiome function is its role in nutrient assimilation in both plants and animals, but other less obvious roles are becoming more apparent, particularly in terms of driving infectious and non-infectious disease outcomes and influencing host behaviour. However, numerous biotic and abiotic factors influence the composition of these communities, and host microbiomes can be susceptible to environmental change. How microbial communities will be altered by, and mitigate, the rapid environmental change we can expect in the next few decades remain to be seen. That said, given the enormous range of functional diversity conferred by microbes, there is currently something of a revolution in microbial bioengineering and biotechnology in order to address real-world problems including human and wildlife disease and crop and biofuel production. All of these concepts are explored in further detail throughout the book.
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