Evidence map›Paper›PMID 29503382›Full record

ArticleJournal of epidemiology2018

Relationships among Food Group Intakes, Household Expenditure, and Education Attainment in a General Japanese Population: NIPPON DATA2010.

Tomomi Nagahata, Mieko Nakamura, Toshiyuki Ojima, Imako Kondo, Toshiharu Ninomiya, Katsushi Yoshita, Yusuke Arai, Takayoshi Ohkubo, Keiko Murakami, Nobuo Nishi and 10 more

Open access · goldAbstract read
In one paragraph

Article in Journal of epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

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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

20 authors at 12 institutions in 2 countries.

Tomomi NagahataDepartment of Nutrition, School of Health and Nutrition, Tokaigakuen University.ORCID 0000-0003-0844-1153
Mieko NakamuraDepartment of Community Health and Preventive Medicine, Hamamatsu University School of Medicine.
Toshiyuki OjimaDepartment of Community Health and Preventive Medicine, Hamamatsu University School of Medicine.
Imako KondoDepartment of Food and Nutritional Sciences, College of Bioscience and Biotechnology, Chubu University.
Toshiharu NinomiyaDepartment of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University.
Katsushi YoshitaDepartment of Food and Human Health Science, Osaka City University Graduate School of Human Life Science.
Yusuke AraiDepartment of Nutrition, Chiba Prefectural University of Health Sciences.
Takayoshi OhkuboDepartment of Hygiene and Public Health, Teikyo University School of Medicine.
Keiko MurakamiDepartment of Hygiene and Public Health, Teikyo University School of Medicine.ORCID 0000-0003-2103-4106
Nobuo NishiInternational Center for Nutrition and Information, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition.ORCID 0000-0002-5772-6561
Yoshitaka MurakamiDepartment of Medical Statistics, School of Medicine, Toho University.
Naoyuki TakashimaDepartment of Public Health, Shiga University of Medical Science.
Nagako OkudaDepartment of Health and Nutrition, University of Human Arts and Sciences.ORCID 0000-0002-6893-0509
Aya KadotaDepartment of Public Health, Shiga University of Medical Science.ORCID 0000-0001-7378-0544
Naoko MiyagawaDepartment of Public Health, Shiga University of Medical Science.ORCID 0000-0002-9148-1078
Keiko KondoDepartment of Public Health, Shiga University of Medical Science.
Tomonori OkamuraDepartment of Preventive Medicine and Public Health, Keio University School of Medicine.ORCID 0000-0003-0488-0351
Hirotsugu UeshimaDepartment of Public Health, Shiga University of Medical Science.ORCID 0000-0002-7742-4253
Akira OkayamaResearch Institute of Strategy for Prevention.
Katsuyuki MiuraDepartment of Public Health, Shiga University of Medical Science.ORCID 0000-0002-2646-9582
Shiga University of Medical Science · JPHamamatsu University School of Medicine · JPTeikyo University · JPChiba Prefectural University of Health Sciences · JPChubu University · JPKeio University · JPKyushu University · JPNational Institute of Biomedical Innovation, Health and Nutrition · JPOsaka City University · JPToho University · JPTokai Gakuen University · JPUniversity of Human Arts and Sciences · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA lower socioeconomic status (SES) may be related to the intake of unhealthy food; however, this relationship has not been examined in detail. This study was undertaken to examine relationships among food group intakes and SES in a representative Japanese population.

methodsThis was a cross-sectional study using the baseline data of NIPPON DATA2010, which is a prospective cohort study of the National Health and Nutrition Survey in Japan. A total of 2,898 participants were included in the baseline survey in 2010. The effects of age (<65 years and ≥65 years), equivalent household expenditure (EHE), and education attainment on food group intakes (gram per 1,000 kcal) were analyzed using a two-way analysis of variance.

resultsWhen EHE was lower, cereal intake was higher in men and women. Among men, fish, milk, and alcohol intakes were reduced with lower EHE. Among women, vegetable intake was reduced with lower EHE. In men and women, cereal intake was higher with lower education attainment. In contrast, meat intake was reduced with lower education attainment.

conclusionsLower SES was associated with a higher cereal intake and lower vegetable, fish, meat, and milk intakes in a representative Japanese population. Socioeconomic discrepancies need to be considered in order to promote healthier dietary habits.

Indexed as

Social ClassAgedCross-Sectional StudiesDietEducational StatusFamily CharacteristicsFemaleFinancial ManagementHumansJapanMaleMiddle AgedNutrition SurveysProspective Studiesdieteducation attainmentequivalent household expenditurefood groupsocioeconomic status

Identifiers

PMID29503382
PMCPMC5825688
OpenAlexW2790063832

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.