Evidence mapPaperPMID 41876212Full record

ArticleJMIR mHealth and uHealth2026

Investigating Children's Exposure to Outdoor Food Marketing in 2 Swedish Cities Using a Smartphone App: Cross-Sectional Study.

Sofia Spolander, Petter Fagerberg, Billy Langlet, Ioannis Sarafis, Ioannis Ioakimidis

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Sofia SpolanderDepartment of Medicine, Huddinge, Karolinska Institutet, Blickagången 16, Stockholm, 14152 Flemingsberg, Sweden, 46 736508228.ORCID http://orcid.org/0000-0003-0066-1821
Petter FagerbergKarolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-1443-3128
Billy LangletDepartment of Medicine, Huddinge, Karolinska Institutet, Blickagången 16, Stockholm, 14152 Flemingsberg, Sweden, 46 736508228.ORCID http://orcid.org/0000-0003-2806-6186
Ioannis SarafisDepartment of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece.ORCID http://orcid.org/0000-0001-8449-1705
Ioannis IoakimidisDepartment of Medicine, Huddinge, Karolinska Institutet, Blickagången 16, Stockholm, 14152 Flemingsberg, Sweden, 46 736508228.ORCID http://orcid.org/0000-0002-7208-1722

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Childhood obesity and unhealthy dietary habits remain major public health concerns and are influenced by the surrounding food environment. Food marketing, particularly for ultraprocessed foods (UPFs), shapes children's food preferences and consumption. However, food environments are complex and constantly changing, making them difficult to map and monitor. Developing approaches that capture these dynamics is essential to understand and address children's exposure to unhealthy food marketing. Objective: This study aimed to pilot-test a novel tool consisting of a smartphone app and dashboard designed to identify areas where children are exposed to outdoor food advertising. Additionally, the study assessed the prevalence of advertisements for UPFs, health-promoting foods, and offers in the identified areas and explored differences in exposure by city size and socioeconomic status (SES). Methods: A cross-sectional study was performed in 2 Swedish counties. Initially, 46 children from 4 schools in areas with varying SES used a smartphone app to take pictures of food advertisements that they encountered in their everyday lives. The app also recorded the GPS locations of where the pictures were taken. Pictures with associated GPS data were automatically uploaded and visualized in a web-based dashboard, allowing for identification of areas where children see many food advertisements, so-called "hotspot areas." The identified hotspot areas were subsequently visited by 2 researchers (SS and PF), who systematically photographed all food advertisements in the areas. All pictures taken by the researchers were later analyzed based on their content of UPFs, health-promoting foods such as fruits, berries, vegetables, and seafood (FBVS), and price promotions. Results: Based on 1308 pictures of outdoor food advertisements taken by children using the app, 34 hotspot areas were identified through the dashboard. In these areas, researchers collected 2955 pictures of outdoor food advertisements during the mapping activity. Overall, 77.5% (2291/2955) of advertisements promoted UPFs, with no significant difference between the large and small cities. In Stockholm, a higher proportion of UPFs appeared in the high-SES area compared to the low-SES area, though the proportion was high in both areas. FBVS featured in 20.8% (616/2955) of advertisements, slightly more often in Stockholm and in the high-SES area. Price promotions appeared in 23.6% (697/2955) of advertisements, mainly featured UPFs (518/697, 74.3%) and less often FBVS (142/697, 20.4%). Price promotions for UPFs were somewhat more frequent in Stockholm, and FBVS promotions were more common in the high-SES area. Conclusions: Using a novel, child-centered, mobile health tool combining a smartphone app and dashboard, this study identified local food advertising hotspots. Most advertisements in the hotspots promoted UPFs, while a few featured FBVS, a pattern also reflected in price promotions. These trends were consistent across areas, highlighting a food marketing landscape misaligned with dietary guidelines and the need for policy action.

Indexed as

MarketingMobile ApplicationsAdvertisingChildCitiesCross-Sectional StudiesFemaleHumansMaleMedia ExposureSwedenadolescentsadvertisementchildrenchildren-centric approachfood environmentmarketingobesitysocial classultraprocessed foodunhealthy foods

Identifiers

PMID41876212
PMCPMC13012817

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.