Evidence map›Paper›PMID 34814973›Full record

ArticlePublic health nutrition2022

Diet cost and quality using the Healthy Eating Index-2015 in adults from urban and rural areas of Mexico.

Katherine Curi-Quinto, Mishel Unar-Munguía, Sonia Rodríguez-Ramírez, Elin Röös, Walter C Willett, Juan A Rivera

Abstract read
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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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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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

10 citing papers in PubMed.

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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.

Katherine Curi-QuintoCenter for Research on Nutrition and Health, National Institute of Public Health, Cuernavaca, Morelos, Mexico.ORCID 0000-0002-2233-8251
Mishel Unar-MunguíaCenter for Research on Nutrition and Health, National Institute of Public Health, Cuernavaca, Morelos, Mexico.ORCID 0000-0002-1156-9337
Sonia Rodríguez-RamírezCenter for Research on Nutrition and Health, National Institute of Public Health, Cuernavaca, Morelos, Mexico.ORCID 0000-0002-5439-4389
Elin RöösDepartment of Energy and Technology, Swedish University of Agricultural Sciences, Uppsala, Sweden.ORCID 0000-0002-3482-2286
Walter C WillettDepartment of Nutrition, Harvard School of Public Health, Boston, MA, USA.
Juan A RiveraNational Institute of Public Health, Cuernavaca, Morelos, Mexico.ORCID 0000-0003-2586-4908

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the association between diet cost and quality by place of residence.

designWe analysed cross-sectional data of the National Health and Nutrition Survey-2012. Diet cost was estimated by linking dietary data, obtained from a 7-d SFFQ, with municipality food prices, which were derived from a national expenditure survey. Diet quality was assessed using the Healthy Eating Index-2015 (HEI-2015). Association between quintiles of diet cost and HEI-2015 was assessed using linear regression analysis. SETTINGS: Mexico.

participants2438 adults (18-59 years).

resultsDiet cost was positively associated with diet quality (HEI-2015) in urban but not in rural areas. Compared with quintile (Q1) of cost, the increment in diet quality score was 1·17 (95 % CI -0·06, 4·33) for Q2, 2·14 (95 % CI -0·06, 4·33) for Q3, 4·70 (95 % CI 2·62, 6·79) for Q4 and 6·34 (95 % CI 4·20, 8·49) for Q5 (

conclusionsDiet cost was positively associated with diet quality, but only in urban areas. Further studies are needed to understand the relation between diet cost and quality in rural areas. To improve overall diet quality in Mexico, strategies that aim to reduce the cost of high-quality diets should consider the heterogeneity by place of residence.

Indexed as

DietDiet, HealthyAdultCross-Sectional StudiesHumansMexicoNutrition SurveysDiet costDiet qualityDrivers of diet qualityMexicoUrban and rural

Identifiers

PMID34814973
PMCPMC9991559

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LicenceCC BY
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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.