Evidence map›Paper›PMID 34629138›Full record

ArticlePublic health nutrition2022

Neighbourhood food typologies, fast food outlet visitation and snack food purchasing among adolescents in Melbourne, Australia.

Venurs Hy Loh, Maartje Poelman, Jenny Veitch, Sarah A McNaughton, Rebecca Leech, Anna Timperio

Open access · hybridAbstract read
In one paragraph

Article in Public health nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 29% of its field
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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Influences of the community and consumer nutrition environment on the food purchases and dietary behaviors of adolescents: A systematic review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2023
    Pooled it
  2. Article
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

6 authors at 2 institutions in 2 countries.

Venurs Hy LohInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong Waurn Ponds Campus, 75 Pidgons Road, Waurn Ponds, Geelong, VIC3216, Australia.ORCID 0000-0003-1821-1087
Maartje PoelmanChair Group Consumption and Healthy Lifestyles, Wageningen University & Research, Wageningen, The Netherlands.ORCID 0000-0003-4346-4481
Jenny VeitchInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong Waurn Ponds Campus, 75 Pidgons Road, Waurn Ponds, Geelong, VIC3216, Australia.
Sarah A McNaughtonInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong Waurn Ponds Campus, 75 Pidgons Road, Waurn Ponds, Geelong, VIC3216, Australia.
Rebecca LeechInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong Waurn Ponds Campus, 75 Pidgons Road, Waurn Ponds, Geelong, VIC3216, Australia.
Anna TimperioInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong Waurn Ponds Campus, 75 Pidgons Road, Waurn Ponds, Geelong, VIC3216, Australia.
Deakin University · AUWageningen University & Research · NL

Funding

IPEN Adolescent: International Study of Built Environments and Physical ActivityR01HL111378 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SALLIS, JAMES F. · 2012 to 2015
$2.8M
NHLBI NIH HHS R01 HL111378
6 · The paper itself

Abstract

objectiveDespite the increased attention on neighbourhood food environments and dietary behaviours, studies focusing on adolescents are limited. This study aims to characterise typologies of food environments surrounding adolescents and their associations with fast food outlet visitation and snack food purchasing to/from school.

designThe number of food outlets (supermarket; green grocers; butcher/seafood/deli; bakeries; convenience stores; fast food/takeaways; café and restaurants) within a 1 km buffer from home was determined using a Geographic Information System. Adolescents' self-reported frequency of fast food outlet visitation and snack food purchasing to/from school. Latent Profile Analysis was conducted to identify typologies of the food environment. Cross-sectional multilevel logistic regression analyses were conducted to examine the relationships between food typologies, fast food outlet visitations and snack food purchasing to/from school.

settingMelbourne, Australia.

participantsTotally, 410 adolescents (mean age= 15·5 (sd = 1·5) years).

resultsFour distinct typologies of food outlets were identified: (1) limited variety/low number; (2) some variety/low number; (3) high variety/medium number and (4) high variety/high number. Adolescents living in Typologies 1 and 2 had three times higher odds of visiting fast food outlets ≥1 per week (Typology 1: OR = 3·71, 95 % CI 1·23, 11·19; Typology 2: OR = 3·65, 95 % CI 1·21, 10·99) than those living in Typology 4. No evidence of association was found between typologies of the food environments and snack food purchasing behaviour to/from school among adolescents.

conclusionLocal government could emphasise an overall balance of food outlets when designing neighbourhoods to reduce propensity for fast food outlet visitation among adolescents.

Indexed as

Fast FoodsSnacksAdolescentCross-Sectional StudiesFood SupplyHumansResidence CharacteristicsRestaurantsAdolescentsFast foodFood environmentFood purchasingNeighbourhood

Identifiers

PMID34629138
PMCPMC9991780
OpenAlexW3207646346

What OpenQuestion 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 OpenQuestion graph.