iiinova — where your digital self keeps evolving

Reposted by Richard Patterson

Eleanor Winpenny @eleanorwinpenny.bsky.social · 15/09/2025

Interested in a PhD in 'Social Inequalities and Adolescent Health Behaviours' (for Oct 2026)? See here for a PhD jointly supervised with Prof Jessica Barrett, MRC Biostatistics Unit, University of Cambridge www.cam-dtp.ac.uk/students/cur... 🛟🧪@socsocmed.bsky.social

cam-dtp.ac.uk

2026 Studentship Opportunities - CAM-DTP

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Richard Patterson @richpatter.bsky.social · 16/09/2025

Apply for a PhD studentship in public health within our team. www.cam-dtp.ac.uk/students/cur...

cam-dtp.ac.uk

2026 Studentship Opportunities - CAM-DTP

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Reposted by Richard Patterson

IMS Epidemiology, University of Cambridge @imsepidemiology.bsky.social · 08/09/2025

New research by Caroline Kienast-von-Einam et al. into changes in cycling behavior following residential relocation, finds most participants didn't base relocation decisions on cycling intentions, and physical and social changes were far more important in shaping cycling behaviour. buff.ly/EalRoo1

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Reposted by Richard Patterson

IMS Epidemiology, University of Cambridge @imsepidemiology.bsky.social · 15/08/2025

Health & Place paper by Richard Patterson and colleagues examines the cross-sectional and longitudinal associations of residential neighbourhood walkability and takeaway food availability with markers of adiposity separately and combined. Read at buff.ly/XY8Hrqg

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Reposted by Richard Patterson

David Ogilvie @dbogilvie.bsky.social · 14/05/2025

This webinar will introduce the updated MRC/NIHR framework for the conduct and use of natural experimental evaluations. Fri 23 May, 1200 to 1315 BST Register here: events.teams.microsoft.com/event/f01e66...

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Reposted by Richard Patterson

John Holbein @johnholbein1.bsky.social · 05/05/2025

You've heard of the many analysts projects, right? Scholars give the same dataset/question to a bunch of researchers & they still get different answers. Why is that? Data cleaning! This is consistent with Gelman's "garden of forking paths." Small coding decisions often drive results.

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Reposted by Richard Patterson

Jack Birch @jackmbirch.bsky.social · 29/04/2025

Top work Laura!

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Richard Patterson @richpatter.bsky.social · 13/03/2025

This is excellent. Well done Alena, Eleanor and team.

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Reposted by Richard Patterson

Jody Hoenink @jhoenink.bsky.social · 11/03/2025

🚨 New Research Alert! 🚨 In our latest study we found that: 🍔 Online food delivery services (OFDS) use increased from 16% to 25% in just three years. 🏠 The impact of physical food outlets on out-of-home meal consumption is weakening as OFDS availability grows.

sciencedirect.com

Physical and online food outlet availability and its influence on out-of-home dietary behaviours in Great Britain: A repeated cross-sectional study

As online food delivery service (OFDS) platforms gain popularity, understanding their impact on diet alongside physical food outlets is important for …

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Richard Patterson @richpatter.bsky.social · 07/03/2025

The dry stone wall metaphor for systematic reviewing. "Whereas the conventional systematic reviewer’s task is statistical (to summarise data), the dry stone wall reviewer’s task is interpretive (to make sense of those data)."

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Richard Patterson @richpatter.bsky.social · 10/02/2025

Living in more walkable neighbourhoods with lower availability of takeaway food outlets is associated with lower adiposity and improved trends over time. authors.elsevier.com/sd/article/S...

authors.elsevier.com

ScienceDirect.com | Science, health and medical journals, full text articles and books.

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Reposted by Richard Patterson

Jean Adams 🏴󠁧󠁢󠁳󠁣󠁴󠁿🇨🇦 @jeanmadams.bsky.social · 06/02/2025

ICYMI: Our new paper on the impact of the UK Soft Drinks Industry Levy is out. 19 months after implementation, we found that households purchased 7.5g less sugar from soft drinks compared to expected - equivalent to a 2.6% reduction. nutrition.bmj.com/content/earl...

Background The WHO recommends taxes on sugar sweetened beverages (SSBs) to improve population health. We examined changes in volume of and amount of sugar in purchases of soft drinks according to household income and composition, 19 months following the implementation of the UK soft drinks industry levy.

Methods Data were from the Kantar Fast Moving Consumer Goods panel, a market research panel which collects data on weekly household purchases (mean weekly number of households=21 908), March 2014–November 2019. Interrupted time series analysis of volume and sugar purchases was used to estimate absolute and relative differences in the volume and amount of sugar in soft drinks, confectionery and alcohol purchased weekly by household income (<£20 000, £20–50 000 or >£50 000) and composition (presence of children (<16 years) in the household (yes or no)), 19 months after soft drinks industry levy (SDIL) implementation, compared with the counterfactual scenario based on pre-announcement trends and using a control group (toiletries).

Results By November 2019, purchased weekly sugar in soft drinks fell by 7.46 g (95% CI: 12.05, 2.87) per household but volumes of drinks purchased remained unchanged, compared with the counterfactual. In low-income households, weekly sugar purchased in soft drinks decreased by 14.0% (95% CI: 12.1, 15.9) compared with the counterfactual but in high-income households increased by 3.4% (1.07, 5.75). Among households with children, sugar purchased decreased by 13.7% (12.1, 15.3) but increased in households without children by 5.0% (3.0, 7.0). Low-income households and those with children also reduced their weekly volume of soft drinks purchased by 5.7% (3.7, 7.7) and 8.5% (6.8, 10.2) respectively. There was no evidence of substitution to confectionary or alcohol.

Conclusion In the second year following implementation of the SDIL, effects on sugar purchased were greatest in those with the highest pre-SDIL purchasing levels (low-income household…

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Reposted by Richard Patterson

Jenna Panter @jennapanter.bsky.social · 20/01/2025

We are looking for a data scientist to help us process and combine GPS and PA data, could it be you or someone you know? Deadline 18 Feb www.jobs.cam.ac.uk/job/49988/

jobs.cam.ac.uk

Data Scientist (Fixed Term) - Job Opportunities - University of Cambridge

Data Scientist (Fixed Term) in the MRC Epidemiology Unit at the University of Cambridge.

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