Evidence map›Paper›PMID 32753086›Full record

ArticlePublic health nutrition2021

Mexican households' food shopping patterns in 2015: analysis following nonessential food and sugary beverage taxes.

Lilia S Pedraza, Barry M Popkin, Linda Adair, Whitney R Robinson, Lindsey Smith Taillie

Open access · greenAbstract read
In one paragraph

Article in Public health nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Food environment solutions for childhood obesity in Latin America and among Latinos living in the United States.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2021
    Review
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 at 1 institution in 1 country.

Lilia S PedrazaDepartment of Nutrition, University of North Carolina, Chapel Hill, NC, USA.ORCID 0000-0001-9975-7035
Barry M PopkinDepartment of Nutrition, University of North Carolina, Chapel Hill, NC, USA.
Linda AdairDepartment of Nutrition, University of North Carolina, Chapel Hill, NC, USA.
Whitney R RobinsonDepartment of Epidemiology, University of North Carolina, Chapel Hill, NC, USA.
Lindsey Smith TaillieDepartment of Nutrition, University of North Carolina, Chapel Hill, NC, USA.
University of North Carolina at Chapel Hill · US

Funding

UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Ian Michael Carroll · 1999 to 2026
$31.6M
Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
Evaluating the impact of SSB and nonessential food taxes in MexicoR01DK108148 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI POPKIN, BARRY M · 2016 to 2019
$2.5M
NICHD NIH HHS P2C HD050924NIDDK NIH HHS P30 DK056350NIDDK NIH HHS R01 DK108148
6 · The paper itself

Abstract

objectiveTo examine patterns of taxed and untaxed food and beverage shopping across store types after Mexico's sugary drink and non-essential food taxes, the nutritional quality of these patterns and the socio-economic characteristics associated with them.

designWe performed k-means cluster analyses using households' percentage of food and beverage purchases from each store type (i.e. convenience stores, traditional shops (e.g. bodegas, tiendas, mom-and-pop shops), supermarkets, wholesalers and others). We calculated adjusted mean proportions of taxed and untaxed products (ml or g/capita per d) purchased in each pattern. We studied the associations between households' SES and shopping patterns using multinomial logistic regressions. Within shopping patterns, we obtained mean volumes and proportions of taxed and untaxed food and beverage subgroups and calculated the proportion of products purchased at each store type.

settingMexico.

participantsUrban Mexican households (n 5493) from the Nielsen Mexico Consumer Panel Survey 2015.

resultsWe found four beverage shopping patterns and three food shopping patterns, driven by the store type where most purchases were made. For beverages, 48 % of households were clustered in the Traditional pattern and purchased the highest proportion of taxed beverages. Low-SES households had the highest probability of clustering in the Traditional beverage shopping pattern. For foods, 35 % of households were clustered into the Supermarket pattern. High-SES households had the highest probability of clustering in the Supermarket food shopping pattern.

conclusionsThe combination of store types where Mexican households purchase packaged foods and beverages varies. However, households in all shopping patterns and SES purchase taxed beverages mainly at traditional stores. Store-level strategies should be developed to intervene on traditional stores to improve the healthfulness of purchases.

Indexed as

SugarsTaxesBeveragesCommerceConsumer BehaviorFoodHumansMexicoSugarsFood storesMexicoShopping patternsSocio-economic statusTaxes

Identifiers

PMID32753086
PMCPMC7862422
OpenAlexW3047485870

What OpenQuestion holds

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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.