Evidence map›Paper›PMID 29342873›Full record

ArticleNutrients2018

Association between the Frequency of Protein-Rich Food Intakes and Kihon-Checklist Frailty Indices in Older Japanese Adults: The Kyoto-Kameoka Study.

Miwa Yamaguchi, Yosuke Yamada, Hinako Nanri, Yoshizu Nozawa, Aya Itoi, Eiichi Yoshimura, Yuya Watanabe, Tsukasa Yoshida, Keiichi Yokoyama, Chiho Goto and 4 more

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PubMed Full text at PMC Publisher
In one paragraph

Article in Nutrients, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
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  3. Observational
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  15. Observational
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

14 authors at 9 institutions in 1 country.

Miwa YamaguchiDepartment of Nutrition and Metabolism, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo 162-8636, Japan. miwayama@nibiohn.go.jp.
Yosuke YamadaDepartment of Nutrition and Metabolism, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo 162-8636, Japan. yamaday@nibiohn.go.jp.
Hinako NanriDepartment of Nutrition and Metabolism, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo 162-8636, Japan. kimurahinako0319@gmail.com.
Yoshizu NozawaAjinomoto Co., Inc., Tokyo 210-8681, Japan. yoshizu_nozawa@ajinomoto.com.
Aya ItoiDepartment of Health, Sports and Nutrition, Faculty of Health and Welfare, Kobe Women's University, Hyogo 650-0046, Japan. aitoi@kwjc.kobe-wu.ac.jp.
Eiichi YoshimuraDepartment of Food and Health Sciences, Prefectural University of Kumamoto, Kumamoto 862-8502, Japan. eyoshi@pu-kumamoto.ac.jp.
Yuya WatanabeLaboratory of Applied Health Sciences, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan. yuwatana@mail.doshisha.ac.jp.
Tsukasa YoshidaDepartment of Nutrition and Metabolism, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo 162-8636, Japan. t-yoshida@nibiohn.go.jp.
Keiichi YokoyamaDepartment of Business Administration, Kyoto Gakuen University, Kyoto 621-8555, Japan. physiol.yokoyama@gmail.com.
Chiho GotoDepartment of Health and Nutrition, Faculty of Health and Human Life, Nagoya Bunri University, Aichi 492-8520, Japan. goto.chiho@nagoya-bunri.ac.jp.
Kazuko Ishikawa-TakataDepartment of Nutritional Epidemiology and Shokuiku, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo 162-8636, Japan. kazu@nibiohn.go.jp.
Hisamine KobayashiAjinomoto Co., Inc., Tokyo 210-8681, Japan. hisamine_kobayashi@ajinomoto.com.
Misaka KimuraLaboratory of Applied Health Sciences, Kyoto Prefectural University of Medicine, Kyoto 602-8566, Japan. misaka@kyotogakuen.ac.jp.
Kyoto-Kameoka Study GroupDepartment of Nutrition and Metabolism, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo 162-8636, Japan.
National Institute of Biomedical Innovation, Health and Nutrition · JPAjinomoto (Japan) · JPKyoto Prefectural University of Medicine · JPDoshisha University · JPGovernment of Japan · JPKobe Women's University · JPKyoto University of Advanced Science · JPNagoya Bunri University · JPPrefectural University of Kumamoto · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to investigate whether frequencies of protein-rich food intake were associated with frailty among older Japanese adults. A cross-sectional study was conducted in 2011 among 3843 men and 4331 women in a population-based cohort of Kameoka city, Kyoto Prefecture, Japan. Frailty was assessed by the weighted score based on the 25-item Kihon-Checklist. The frequency of protein-rich food intake was examined as "seafood", "meat", "dairy products", "eggs", and "soy products". The outcome of frailty was analyzed with a multiple logistic regression model using the frequency of protein-rich food intake. When compared to the first quartile, it was observed that there was a significant association between the lower adjusted prevalence ratio (PR) for frailty and the frequency of seafood intake in the fourth quartile among men (PR 0.64, 95% confidence interval (CI), 0.42, 0.99) and from the second quartile to the third quartile among women (PR 0.61, 95% CI, 0.43, 0.85; PR 0.64, 95% CI, 0.46, 0.91). The frequency of dairy products intake in the third quartile among women was significantly associated with a lower PR for frailty (

Indexed as

Asian PeopleDietAgedAged, 80 and overBody Mass IndexCohort StudiesCross-Sectional StudiesDairy ProductsDietary ProteinsEggsExerciseFemaleFrailtyGeriatric AssessmentHumansJapanDietary Proteinsdairy productsfrailtyfrequency of protein-rich foodKihon-Checklistseafood

Identifiers

PMID29342873
PMCPMC5793312
OpenAlexW2784092451

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.