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Francesca Pontin

Biographic Data

ID3581939
NAMEFrancesca Pontin
GIVEN NAMESFrancesca
FAMILY NAMEPontin
SIGNATUREPONTIN F
AFFILIATIONSUniversity of Leeds
ORCID0000-0002-7143-8718
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS1
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Mapping Advertising Assets Project

    Open Access•Victoria Jenneson, Ira B Wilson et al.•ARTICLE•Public Health Nutrition•2025

    Objective: Food environments can influence dietary behaviours. Promotion of foods high in fats, salt and sugars is a barrier to healthy eating. We explore advertising by deprivation in an English city. Design: Using a cross-sectional design, we describe the prevalence of outdoor advertising, the types of products advertised and the UK Nutrient Profile Modelling scores for advertised foods and non-alcoholic beverages. Differences in outdoor advert…

  • Is the spatial persistence of deprivation dependent on neighbouring areas

    Open Access•Stephen Clark, Stephen D Clark et al.•ARTICLE•Area•2025•References: 29

    In the context of poverty and deprivation alleviation by national and local government, we use census data to explore 50 year trajectories of area deprivation to provide insight into how the spatial context of a community influences these trajectories. Using the temporal and spatial framework of spatial Markov models, we provide evidence for England and Wales on whether changing levels of deprivation over time are conditioned by areas having diff…

  • Customer awareness and perceptions of the high in fat, sugar, and salt (HFSS) placement legislation and impacts on self-reported food purchasing

    Open Access•Alice R Kininmonth, Victoria Jenneson et al.•ARTICLE•Food Policy•2025•Cited by: 1•References: 3

  • Characterisation of Temporal Patterns in Step Count Behaviour from Smartphone App Data

    Open Access•Francesca Pontin, Nik Lomax et al.•ARTICLE•International Journal of…•2021

    The increasing ubiquity of smartphone data, with greater spatial and temporal coverage than achieved by traditional study designs, have the potential to provide insight into habitual physical activity patterns. This study implements and evaluates the utility of both K-means clustering and agglomerative hierarchical clustering methods in identifying weekly and yearlong physical activity behaviour trends. Characterising the demographics and choice …

  • Socio-demographic determinants of physical activity and app usage from smartphone data

    Open Access•Francesca Pontin, Nik Lomax et al.•ARTICLE•Social Science & Medicine•2021•References: 43

    The increasing ubiquity of smartphones provides a potential new data source to capture physical activity behaviours. Though not designed as a research tool, these secondary data have the potential to capture a large population over a more extensive spatial area and with longer temporality than current methods afford. This paper uses one such secondary data source from a commercial app designed to incentivise activity. We explore the new insights …

  • Customer awareness and perceptions of the high in fat, sugar, and salt (HFSS) placement legislation and impacts on self-reported food purchasing

    Open Access•Alice R Kininmonth, Victoria Jenneson et al.•ARTICLE•Food Policy•2025•Cited by: 1•References: 3

  • Characterisation of Temporal Patterns in Step Count Behaviour from Smartphone App Data

    Open Access•Francesca Pontin, Nik Lomax et al.•ARTICLE•International Journal of…•2021

    The increasing ubiquity of smartphone data, with greater spatial and temporal coverage than achieved by traditional study designs, have the potential to provide insight into habitual physical activity patterns. This study implements and evaluates the utility of both K-means clustering and agglomerative hierarchical clustering methods in identifying weekly and yearlong physical activity behaviour trends. Characterising the demographics and choice …

  • Socio-demographic determinants of physical activity and app usage from smartphone data

    Open Access•Francesca Pontin, Nik Lomax et al.•ARTICLE•Social Science & Medicine•2021•References: 43

    The increasing ubiquity of smartphones provides a potential new data source to capture physical activity behaviours. Though not designed as a research tool, these secondary data have the potential to capture a large population over a more extensive spatial area and with longer temporality than current methods afford. This paper uses one such secondary data source from a commercial app designed to incentivise activity. We explore the new insights …

  • Mapping Advertising Assets Project

    Open Access•Victoria Jenneson, Ira B Wilson et al.•ARTICLE•Public Health Nutrition•2025

    Objective: Food environments can influence dietary behaviours. Promotion of foods high in fats, salt and sugars is a barrier to healthy eating. We explore advertising by deprivation in an English city. Design: Using a cross-sectional design, we describe the prevalence of outdoor advertising, the types of products advertised and the UK Nutrient Profile Modelling scores for advertised foods and non-alcoholic beverages. Differences in outdoor advert…

  • Is the spatial persistence of deprivation dependent on neighbouring areas

    Open Access•Stephen Clark, Stephen D Clark et al.•ARTICLE•Area•2025•References: 29

    In the context of poverty and deprivation alleviation by national and local government, we use census data to explore 50 year trajectories of area deprivation to provide insight into how the spatial context of a community influences these trajectories. Using the temporal and spatial framework of spatial Markov models, we provide evidence for England and Wales on whether changing levels of deprivation over time are conditioned by areas having diff…

  • Customer awareness and perceptions of the high in fat, sugar, and salt (HFSS) placement legislation and impacts on self-reported food purchasing

    Open Access•Alice R Kininmonth, Victoria Jenneson et al.•ARTICLE•Food Policy•2025•Cited by: 1•References: 3

Computer Science (3 works) · Medicine (3 works) · Psychology (3 works) · Advertising (2 works) · Business (2 works) · Environmental health (2 works) · Geography (2 works) · Mobile Health and mHealth Applications (2 works) · Obesity, Physical Activity, Diet (2 works) · Physical activity (2 works)

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