Additional file 1: of Regulating health and nutrition claims in the UK using a nutrient profile model: an explorative modelled health impact assessment

Supplementary information including further background information, description of model scenarios, and results. (PDF 855 kb

Number of papers published that use food sales data by source company and country of research.

Number of papers published that use food sales data by source company and country of research.</p

Categorisation of English wards (n = 7,932) by the Office for National Statistics (ONS) area classification variable and the urbanicity variable used for this paper.

<p>Categorisation of English wards (n = 7,932) by the Office for National Statistics (ONS) area classification variable and the urbanicity variable used for this paper.</p

The number of studies that used food sales data by year of publication.

The number of studies that used food sales data by year of publication.</p

Study selection flow chart.

Study selection flow chart.</p

Summary of data types used in the included studies by company.

Summary of data types used in the included studies by company.</p

Dietary and related metabolic risk factors, population exposure to risks and disease outcomes included in PRIMEtime.

Dietary and related metabolic risk factors, population exposure to risks and disease outcomes included in PRIMEtime.</p

Beta coefficients for multi-level regression models for physical environment exposure variables in univariate (MODELS A–C) and multivariate (MODEL D) analyses, and after further adjustement for confounding variables (MODELS E–F).

<p> <i>SDs – Standard Deviations;</i></p>†<p> <i>in comparison to coastal and countryside wards;</i></p>*<p> <i>significant at p<0.05;</i></p>**<p> <i>significant at p<0.01.</i></p

Residual variance at ward-level (n = 7,929) and local authority-level (n = 354) for baseline (no exposure variables) and final models (MODEL L).

<p>Residual variance at ward-level (n = 7,929) and local authority-level (n = 354) for baseline (no exposure variables) and final models (MODEL L).</p

Summary statistics, correlation co-efficient matrix of the continuous exposure variables, and mean of exposure variables by urbanicity category (wards, n = 7,929).

<p> <i>SDs = Standard Deviations.</i></p