Evidence map›Paper›PMID 31947733›Full record

ArticleInternational journal of environmental research and public health2020

Sociodemographic and Regional Determinants of Dietary Patterns in Russia.

Sergey Maksimov, Natalia Karamnova, Svetlana Shalnova, Oksana Drapkina

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  8. Gender, Age, Family and Territorial Features of Dietary and Physical Activity Patterns in Russian Youths.International journal of environmental research and public health · 2022
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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

4 authors.

Sergey MaksimovDepartment of Epidemiology of Chronic Non-Communicable Diseases, National Medical Research Center for Preventive Medicine of the Ministry of Healthcare of the Russian Federation, 10 bld. Petroverigskiy Lane, Moscow 101990, Russia.ORCID 0000-0003-0545-2586
Natalia KaramnovaDepartment of Epidemiology of Chronic Non-Communicable Diseases, National Medical Research Center for Preventive Medicine of the Ministry of Healthcare of the Russian Federation, 10 bld. Petroverigskiy Lane, Moscow 101990, Russia.
Svetlana ShalnovaDepartment of Epidemiology of Chronic Non-Communicable Diseases, National Medical Research Center for Preventive Medicine of the Ministry of Healthcare of the Russian Federation, 10 bld. Petroverigskiy Lane, Moscow 101990, Russia.
Oksana DrapkinaDepartment of Epidemiology of Chronic Non-Communicable Diseases, National Medical Research Center for Preventive Medicine of the Ministry of Healthcare of the Russian Federation, 10 bld. Petroverigskiy Lane, Moscow 101990, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An empirical assessment of diets using a posteriori analysis allows us to define actual dietary patterns (DPs) in the food consumption structure of a population. This study represents an a posteriori assessment of DPs for the Russian population in general as well as their dependence on socio-demographic and regional parameters. The data were obtained from 21,923 individuals aged 25-64 years old from a Russian multicenter study of "Epidemiology of Cardiovascular Diseases in the Regions of the Russian Federation" conducted in 2013-2014. Cross-sectional study subjects were interviewed face-to-face in order to obtain data on their diet. DPs were defined using principal component analysis. Four DPs were specified as "Rational", "Salt", "Meat", and "Mixed"; all these variants together accounted for 55.9% of variance. Diets in gender and age groups corresponded to those for an all-Russian population; in several regions, the defined diets differed from the all-Russian ones. More favorable diet trends were observed among women, people with no family, people not working, and urban dwellers, and diet trends were more favorable with an increase in age, level of education, and material wealth. Thus, a posteriori DPs were defined for the Russian population, which were stable in sex/age groups and were mediated by the socio-demographic characteristics of the population.

Indexed as

AdultCross-Sectional StudiesFeeding BehaviorFemaleGeographyHumansMaleMiddle AgedPopulation SurveillancePrincipal Component AnalysisRussiaSocioeconomic Factorsdietary patternsprincipal component analysisregional determinantsRussian populationsocio-demographic characteristics

Identifiers

PMID31947733
PMCPMC6981481

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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.