Evidence map›Paper›PMID 35271624›Full record

ArticlePloS one2022

Development of a predictive model for vitamin D deficiency based on the vitamin D status in young Japanese women: A study protocol.

Akiko Kuwabara, Eiji Nakatani, Naoko Tsugawa, Hideaki Nakajima, Satoshi Sasaki, Kenichi Kohno, Kazuhiro Uenishi, Masaru Takenaka, Kyoko Takahashi, Akihiro Maeta and 6 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Observational
  2. Review
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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

16 authors at 13 institutions in 1 country.

Akiko KuwabaraDepartment of Clinical Nutrition, Graduate School of Comprehensive Rehabilitation, Osaka Prefecture University, Osaka, Japan.ORCID 0000-0002-7983-554X
Eiji NakataniDivision of Medical Statistics, Graduate School of Public Health, Shizuoka Graduate University of Public Health, Shizuoka, Japan.
Naoko TsugawaDepartment of Health and Nutrition, Osaka Shoin Women's University, Osaka, Japan.
Hideaki NakajimaEarth System Division, National Institute for Environmental Studies, Ibaraki, Japan.
Satoshi SasakiDepartment of Social and Preventive Epidemiology, School of Public Health, The University of Tokyo, Tokyo, Japan.
Kenichi KohnoDivision of Health Data Science, Translational Research Center for Medical Innovation, Kobe, Japan.
Kazuhiro UenishiDivision of Nutritional Physiology, Kagawa Nutrition University, Saitama, Japan.
Masaru TakenakaGraduate School of Life Science, Kobe Women's University, Hyogo, Japan.
Kyoko TakahashiDepartment of Food Science and Nutrition, School of Food Science and Nutrition, Mukogawa Women's University, Hyogo, Japan.
Akihiro MaetaDepartment of Food Science and Nutrition, School of Food Science and Nutrition, Mukogawa Women's University, Hyogo, Japan.ORCID 0000-0001-9410-2670
Nobuko SeraDepartment of Nutrition Science, University of Nagasaki, Nagasaki, Japan.
Kaori KaimotoDepartment of Human Life and Science, Kagoshima Women's College, Kagoshima, Japan.
Masako IwamotoDepartment of Nutritional Sciences, Nakamura Gakuen University, Fukuoka, Japan.
Hisaya KawateDepartment of Nutritional Sciences, Nakamura Gakuen University, Fukuoka, Japan.
Mayumi YoshidaDepartment of Nutrition, Tenshi College, Hokkaido, Japan.
Kiyoshi TanakaFaculty of Nutrition, Kobe Gakuin University, Hyogo, Japan.
Mukogawa Women's University · JPNakamura Gakuen University · JPKagawa Nutrition University · JPKagoshima Women's Junior College · JPKobe Gakuin University · JPKobe Women's University · JPNational Institute for Environmental Studies · JPOsaka Prefecture University · JPOsaka Shoin Women's University · JPTenshi College · JPThe University of Tokyo · JPTranslational Research Informatics Center (Japan) · JPUniversity of Nagasaki · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVitamin D deficiency (VDD) is associated with an increased risk for lifestyle-related diseases. In Japan, VDD is quite prevalent in all age groups, with its high risk in young women. Furthermore, its association during pregnancy with gestational hypertension and low birth weight has also been reported. VDD can be diagnosed by serum 25-hydroxyvitamin D [25(OH)D] levels, which, however, is not suited for screening. Therefore, we will create a predictive model for serum 25(OH)D concentration and prevalence of VDD based on such data as region, sun exposure habit, and vitamin D intake in young women.

methodsFrom 2020 to 2022, we conduct a cross-sectional study of 600 young women in four regions of Japan, identify the indices associated with serum 25(OH)D concentrations such as sun exposure habits, habitual vitamin D intake, ultraviolet-B irradiation, seasons (summer and winter) and latitude, and construct prediction models for serum 25(OH)D concentrations and VDD risk. This study has been registered with UMIN-CTR (ID: UMIN000041527).

resultsOne hundred and fifteen subjects have been collected from 6 institutions in winter as of May 2021. When data from more than 200 subjects have become available, we will conduct the interim analysis, summarize the data by region and facility, review the inclusion criteria for analysis, and check for missing values and outliers. Prediction models for serum 25(OH)D concentration and VDD will be determined in the final analysis when all cases have been collected.

conclusionsA screening tool for VDD risk to be developed in our study based on the predictive model would help the public and medical professionals prevent lifestyle-related diseases through improving VDD. Additionally, the results may serve as the scientific basis for determining the appropriate vitamin D intake and sun exposure standards.

Indexed as

Vitamin D DeficiencyCross-Sectional StudiesFemaleHumansJapanPregnancyVitamin DVitaminsVitamin DVitamins

Identifiers

PMID35271624
PMCPMC8912175
OpenAlexW4221127767

What OpenQuestion holds

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LicenceCC BY
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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.