Evidence map›Paper›PMID 29716551›Full record

ArticleBMC public health2018

Sociodemographic and physical predictors of non-participation in community based physical checkup among older neighbors: a case-control study from the Kyoto-Kameoka longitudinal study, Japan.

Miwa Yamaguchi, Tsukasa Yoshida, Yosuke Yamada, Yuya Watanabe, Hinako Nanri, Keiichi Yokoyama, Heiwa Date, Motoko Miyake, Aya Itoi, Emi Yamagata and 5 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
4.4field-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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  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

15 authors at 8 institutions in 1 country.

Miwa YamaguchiDepartment of Nutrition and Metabolism, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, 162-8636, Japan. yamaguchi3005@gmail.com.
Tsukasa YoshidaDepartment of Nutrition and Metabolism, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, 162-8636, Japan.
Yosuke YamadaDepartment of Nutrition and Metabolism, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, 162-8636, Japan.
Yuya WatanabeLaboratory of Applied Health Sciences, Kyoto Prefectural University of Medicine, Kyoto, 602-8566, Japan.
Hinako NanriDepartment of Nutrition and Metabolism, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, 162-8636, Japan.
Keiichi YokoyamaFaculty of Economics and Business Administration, Kyoto Gakuen University, Kyoto, 621-8555, Japan.
Heiwa DateFaculty of Data Science, Shiga University, Shiga, 522-8522, Japan.
Motoko MiyakeDepartment of Health and Sports Sciences, Kyoto Gakuen University, Kyoto, 621-8555, Japan.
Aya ItoiDepartment of Health, Sports and Nutrition, Faculty of Health and Welfare, Kobe Women's University, Hyogo, 650-0046, Japan.
Emi YamagataFaculty of Nursing, Doshisha Women's College of Liberal Arts, Kyoto, 610-0395, Japan.
Taeko MasumotoFaculty of Nursing, Doshisha Women's College of Liberal Arts, Kyoto, 610-0395, Japan.
Yasuko OkayamaFaculty of Nursing, Doshisha Women's College of Liberal Arts, Kyoto, 610-0395, Japan.
Yasuko YoshinakaFaculty of Economics and Business Administration, Kyoto Gakuen University, Kyoto, 621-8555, Japan.
Misaka KimuraLaboratory of Applied Health Sciences, Kyoto Prefectural University of Medicine, Kyoto, 602-8566, Japan. misaka@kyotogakuen.ac.jp.
Kyoto-Kameoka study group
Doshisha Women's College of Liberal Arts · JPNational Institute of Biomedical Innovation, Health and Nutrition · JPDoshisha University · JPKobe Women's University · JPShiga University · JPGovernment of Japan · JPKyoto Prefectural University · JPKyoto Prefectural University of Medicine · JP

Funding

MEXT KAKENHI research grants from JSPS 15H05363MEXT KAKENHI research grants from JSPS 23-333MEXT KAKENHI research grants from JSPS 24240091MEXT KAKENHI research grants from JSPS 25750360
6 · The paper itself

Abstract

backgroundIt is difficult to obtain detailed information on non-participants in physical and health examination checkups in community-based epidemiological studies. We investigated the characteristics of non-participants in a physical and health examination checkup for older adults in a nested study from the Japanese Kyoto-Kameoka Longitudinal Study.

methodsWe approached a total of 4831 people aged ≥65 years in 10 randomly selected intervention regions. Participants responded to a mail-based population survey on needs in the sphere of daily life to encourage participation in a free face-to-face physical checkup examination; 1463 participants (706 men, 757 women) participated in the physical checkup. A multiple logistic regression model was performed to investigate the adjusted odds ratios (aOR) of non-participation based on sociodemographic status apart from psychological and physiological frailty as assessed by the validated Kihon Checklist.

resultsThere was a significant, inverse relationship between non-participation and frequently spending time alone among individuals who lived with someone or other family structure (aOR = 0.53, standard error [SE] 0.08 in men, aOR = 0.66, SE 0.09 in women). Very elderly (over 80 years old) women, poorer health consciousness and current smoking in both sexes and poor self-rated health in men, were significantly related to higher non-participation rates. In both sexes, individuals who did not participate in community activities were significantly more likely to be non-participants than individuals who did (aOR = 1.94, SE 0.23 in men, aOR = 3.29, SE 0.39 in women). Having low IADL and physical functioning scores were also associated with higher rates of non-participation.

conclusionHealth consciousness and lack of community activity participation were predictors of non-participation in a physical checkup examination among older adults. In addition, lower IADL and physical functioning/strength were also predictors of non-participation. On the contrary, older inhabitants living with someone tended to participate in the physical checkup examination for social interchange when they were frequently alone in the household. This study suggests the importance of considering aging especially for women and poor sociodemographic background and physical frailty for both sexes so that older people can access health programs without difficulty.

trial registrationUMIN000008105 . Registered 26 April 2012. Retrospectively registered.

Indexed as

AgedAged, 80 and overCase-Control StudiesCommunity Health ServicesFemaleFrailtyHumansJapanLogistic ModelsLongitudinal StudiesMaleOdds RatioPhysical ExaminationSocioeconomic FactorsCase-control studyCommunity-dwelling older peopleHealth promotionParticipation ratePhysical activity programPhysical frailtySociodemographic factors

Identifiers

PMID29716551
PMCPMC5930753
OpenAlexW2806575199

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.