1411 Cardiovascular risk factor insights into the Tesco 1.0 Dataset
Pimenta D Doctor, Taubel J Doctor
Background: Tesco published an open-source dataset containing area-aggregated product purchase information from 420m transactions across 16m individual Clubcard users in the Great London area, at a borough level. This dataset is presented as a 'typical product' purchase for each borough, divided into 220 individual datapoints. Purpose: We wanted to explore dietary correlates with cardiovascular outcomes including age-standardised mortality rates for myocardial infarct, stroke, cardiac arrhythmia and COVID-19.
Methods: The Tesco 1.0 dataset was accessed on 1/11/21 and a sample of traditional dietary clinical risk and protective factor datapoints for each London borough were selected. Data for age-standardised mortality rates (ASMR) in each London borough were
{ 'indexed': {'date-parts': [[2022, 5, 11]], 'date-time': '2022-05-11T17:15:37Z', 'timestamp': 1652289337354},
'reference-count': 0,
'publisher': 'Oxford University Press (OUP)',
'issue': 'Supplement_1',
'license': [ { 'start': { 'date-parts': [[2022, 5, 1]],
'date-time': '2022-05-01T00:00:00Z',
'timestamp': 1651363200000},
'content-version': 'vor',
'delay-in-days': 0,
'URL': 'https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model'}],
'content-domain': {'domain': [], 'crossmark-restriction': False},
'published-print': {'date-parts': [[2022, 5, 11]]},
'abstract': '<jats:title>Abstract</jats:title>\n'
' <jats:sec>\n'
' <jats:title>Funding Acknowledgements</jats:title>\n'
' <jats:p>Type of funding sources: None.</jats:p>\n'
' </jats:sec>\n'
' <jats:sec>\n'
' <jats:title>Background</jats:title>\n'
' <jats:p>Tesco published an open-source dataset containing area-aggregated '
'product purchase information from 420m transactions across 16m individual Clubcard users in '
'the Great London area, at a borough level. This dataset is presented as a ‘typical product’ '
'purchase for each borough, divided into 220 individual datapoints.</jats:p>\n'
' </jats:sec>\n'
' <jats:sec>\n'
' <jats:title>Purpose</jats:title>\n'
' <jats:p>We wanted to explore dietary correlates with cardiovascular '
'outcomes including age-standardised mortality rates for myocardial infarct, stroke, cardiac '
'arrhythmia and COVID-19.</jats:p>\n'
' </jats:sec>\n'
' <jats:sec>\n'
' <jats:title>Methods</jats:title>\n'
' <jats:p>The Tesco 1.0 dataset was accessed on 1/11/21 and a sample of '
'traditional dietary clinical risk and protective factor datapoints for each London borough '
'were selected. Data for age-standardised mortality rates (ASMR) in each London borough were '
'downloaded from the Office of National Statistics for 2019 for myocardial infarction, stroke, '
'cardiac arrhythmia and 2020 COVID-19 deaths (March-July 2020). To explore for relevant '
'associated factors, the average deprivation index (IMD) for each borough was accessed from '
'Public Health England, and demographic data accessed from the Greater London Authority '
'database.</jats:p>\n'
' <jats:p>Statistics using Spearman’s Rho calculator were derived in Excel '
'and calculated using a web-based statistics calculator.</jats:p>\n'
' </jats:sec>\n'
' <jats:sec>\n'
' <jats:title>Results</jats:title>\n'
' <jats:p>Myocardial infarction (MI) ASMR closely correlated with increased '
'levels of salt (g), fat and oils (% of total product), and weight of purchase (g). Increased '
'fibre (g) was correlated with lower MI mortality. An important associated risk factor was the '
'deprivation index, a important co-variable to consider when assessing diet-health '
'relationships.</jats:p>\n'
' <jats:p>Stroke ASMR was more closely correlated with typical product '
'constituents, significant risk factors were weight (g) of fat, carbohydrate, sugar and ready '
'meals (%) and sweets (%), while % of fish and both % and total weight (g) of fruit and veg '
'were protective factors. Importantly salt content was NOT a statistically significant '
'factor.</jats:p>\n'
' <jats:p>Cardiac arrhythmia ASMR did not correlate with any dietary '
'constituents reviewed.</jats:p>\n'
' <jats:p>COVID ASMR was closely correlated with myocardial infarction ASMR '
'risk factors (salt, % of fat and oils and total weight of purchase) and total fibre (g) was '
'again a protective factor. Interestingly, the % of ready meals was a protective factor for '
'COVID ASMR, possibly associated with cultural and ethnicity-related behaviours, with higher '
'BAME communities less likely to purchase ready meals.</jats:p>\n'
' </jats:sec>\n'
' <jats:sec>\n'
' <jats:title>Conclusions</jats:title>\n'
' <jats:p>This unique dataset offers a Big Data insight into the relationship '
'between diet and health but is limited by a lack of individual granularity and heterogenous '
'intra-borough populations. This research offers a starting point to further exploring '
'in-depth food purchasing habits with healthcare outcomes, and further partnership in the '
'future may unlock this.</jats:p>\n'
' </jats:sec>',
'DOI': '10.1093/eurjpc/zwac056.304',
'type': 'journal-article',
'created': {'date-parts': [[2022, 5, 11]], 'date-time': '2022-05-11T16:40:23Z', 'timestamp': 1652287223000},
'source': 'Crossref',
'is-referenced-by-count': 0,
'title': 'Cardiovascular risk factor insights into the Tesco 1.0 Dataset',
'prefix': '10.1093',
'volume': '29',
'author': [ { 'given': 'D',
'family': 'Pimenta',
'sequence': 'first',
'affiliation': [ { 'name': 'Richmond Research Institute, London, United Kingdom of Great '
'Britain & Northern Ireland'}]},
{ 'given': 'J',
'family': 'Taubel',
'sequence': 'additional',
'affiliation': [ { 'name': 'Richmond Research Institute, London, United Kingdom of Great '
'Britain & Northern Ireland'}]}],
'member': '286',
'published-online': {'date-parts': [[2022, 5, 11]]},
'container-title': 'European Journal of Preventive Cardiology',
'original-title': [],
'language': 'en',
'link': [ { 'URL': 'https://academic.oup.com/eurjpc/article-pdf/29/Supplement_1/zwac056.304/43671665/zwac056.304.pdf',
'content-type': 'application/pdf',
'content-version': 'vor',
'intended-application': 'syndication'},
{ 'URL': 'https://academic.oup.com/eurjpc/article-pdf/29/Supplement_1/zwac056.304/43671665/zwac056.304.pdf',
'content-type': 'unspecified',
'content-version': 'vor',
'intended-application': 'similarity-checking'}],
'deposited': { 'date-parts': [[2022, 5, 11]],
'date-time': '2022-05-11T16:40:24Z',
'timestamp': 1652287224000},
'score': 1,
'resource': { 'primary': { 'URL': 'https://academic.oup.com/eurjpc/article/doi/10.1093/eurjpc/zwac056.304/6583754'}},
'subtitle': [],
'short-title': [],
'issued': {'date-parts': [[2022, 5, 1]]},
'references-count': 0,
'journal-issue': { 'issue': 'Supplement_1',
'published-online': {'date-parts': [[2022, 5, 11]]},
'published-print': {'date-parts': [[2022, 5, 11]]}},
'URL': 'http://dx.doi.org/10.1093/eurjpc/zwac056.304',
'relation': {},
'ISSN': ['2047-4873', '2047-4881'],
'subject': ['Cardiology and Cardiovascular Medicine', 'Epidemiology'],
'published-other': {'date-parts': [[2022, 5, 1]]},
'published': {'date-parts': [[2022, 5, 1]]}}
