Evidence map›Paper›PMID 37365563›Full record

ArticleBMC public health2023

Influence of education and subjective financial status on dietary habits among young, middle-aged, and older adults in Japan: a cross-sectional study.

Maki Nishinakagawa, Ryota Sakurai, Yuta Nemoto, Hiroko Matsunaga, Toru Takebayashi, Yoshinori Fujiwara

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 6% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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 1 country.

Maki Nishinakagawa *Research Team for Social Participation and Community Health, Tokyo Metropolitan Institute for Geriatrics and Gerontology, 35-2 Sakae-cho, Itabashi-ku, Tokyo, 173-0015, Japan. maki_n@tmig.or.jp.
Ryota Sakurai *Research Team for Social Participation and Community Health, Tokyo Metropolitan Institute for Geriatrics and Gerontology, 35-2 Sakae-cho, Itabashi-ku, Tokyo, 173-0015, Japan. r_sakurai@hotmail.co.jp.
Yuta NemotoResearch Team for Social Participation and Community Health, Tokyo Metropolitan Institute for Geriatrics and Gerontology, 35-2 Sakae-cho, Itabashi-ku, Tokyo, 173-0015, Japan.
Hiroko MatsunagaResearch Team for Social Participation and Community Health, Tokyo Metropolitan Institute for Geriatrics and Gerontology, 35-2 Sakae-cho, Itabashi-ku, Tokyo, 173-0015, Japan.
Toru TakebayashiDepartment of Preventive Medicine and Public Health, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
Yoshinori FujiwaraResearch Team for Social Participation and Community Health, Tokyo Metropolitan Institute for Geriatrics and Gerontology, 35-2 Sakae-cho, Itabashi-ku, Tokyo, 173-0015, Japan.
Tokyo Metropolitan Institute of Gerontology · JPKeio University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResearch has suggested an association between lower socioeconomic status (SES) and unhealthy dietary habits. However, differences in the effects of different SES indicators and age remain unclear. The current study addressed this research gap by investigating the relationship between SES and unhealthy dietary habits, specifically focusing on educational attainment and subjective financial status (SFS) among varied age groups.

methodsData were derived from a mail survey of 8,464 people living in a suburb of Tokyo, Japan. Participants were classified into three age groups (20-39 years: young adults; 40-64 years: middle-aged adults; and 65-97 years: older adults). SES was assessed based on individual educational attainment and SFS. Unhealthy dietary habits were defined as skipping breakfast and a low frequency of balanced meal consumption. Participants were asked how often they ate breakfast, and those who did not respond "every day" were categorized as "breakfast skippers." Low frequency of balanced meal consumption was defined as eating a meal that included a staple meal, main dish, and side dishes at least twice a day for less than five days per week. Poisson regression analyses with robust variance adjusted for potential covariates were used to determine the interactive effects of educational attainment and SFS on unhealthy dietary habits.

resultsIndividuals with lower educational attainment across all age groups skipped breakfast more frequently compared to those with higher educational attainment. For older adults, poor SFS was associated with skipping breakfast. Young adults with poor SFS and middle-aged adults with lower educational attainment tended to eat less balanced meals. In addition, an interaction effect was found in older adults, where those with lower education despite good SFS and those with poor SFS despite higher education were at a greater risk of falling into unhealthy diet.

conclusionsThe findings suggested that different SES indicators affect healthy dietary habits in different generations, and therefore, health policies should consider the potential influence of different SES on promoting healthier dietary habits.

Indexed as

DietFeeding BehaviorAdultAgedBreakfastCross-Sectional StudiesEducational StatusHumansJapanMealsMiddle AgedYoung AdultBalanced mealsBreakfastDietary habitsEducationSocioeconomic statusSubjective financial status

Identifiers

PMID37365563
PMCPMC10291788
OpenAlexW4382058199

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.