Evidence map›Paper›PMID 30344192›Full record

ArticleJournal of epidemiology2019

The Hekinan Children's Study: Design and Profile of Participants at Baseline.

Chisato Nagata, Keiko Wada, Yukari Sahashi, Takashi Tamura, Kie Konishi, Yuko Goto, Michiyo Yamakawa, Sachi Koda, Fumi Mizuta, Takahiro Uji and 7 more

Open access · goldAbstract read
In one paragraph

Article in Journal of epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

17 authors at 4 institutions in 2 countries.

Chisato NagataDepartment of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine.ORCID http://orcid.org/0000-0002-8911-4260
Keiko WadaDepartment of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine.
Yukari SahashiDepartment of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine.
Takashi TamuraDepartment of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine.
Kie KonishiDepartment of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine.
Yuko GotoDepartment of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine.ORCID http://orcid.org/0000-0002-1870-1943
Michiyo YamakawaDepartment of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine.
Sachi KodaDepartment of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine.
Fumi MizutaDepartment of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine.
Takahiro UjiDepartment of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine.
Kozue NakamuraDepartment of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine.
Michiko TsujiDepartment of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine.
Hideshi NagaiHekinan Medical Association.
Naoko ItakuraHekinan Medical Association.
Kou HaradaHekinan Medical Association.
Osamu TakaharaHekinan Medical Association.
Hiromichi YamanakaHekinan Medical Association.
Gifu University · JPJapan Medical Association · JPGifu City Women's College · JPNagoya Women's University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe early life environment is now recognized as a key factor contributing to susceptibility to certain diseases in later life.

methodsWe initiated a cohort study among school children in 2011 to primarily investigate the associations between lifestyle and environmental factors and some surrogate markers of chronic diseases, such as cardiometabolic risk factors (ie, obesity, high blood pressure, high blood glucose, insulin, or lipids) and cancer risk factors (ie, height and age at menarche). A baseline questionnaire asked for information, including demographic variables, medical history and use of medication, dietary habits, physical activity, sleep habits, and behavioral and emotional problems of children. Follow-up surveys are planned for the fourth grade of elementary school and the first grade of junior high school. At these follow-up surveys, fasting blood samples will be obtained to measure cardiometabolic markers. We also checked the validity of a food frequency questionnaire, which was originally created for 6-year-olds but was modified for use in older children.

resultsA total of 3,141 first-year students at elementary schools in Hekinan City, Aichi Prefecture, participated in the study. The response rate was 87.4%. The means of age and body mass index were 6.99 (standard deviation, 0.28) years and 15.3 (standard deviation, 1.7) kg/m

conclusionsThis cohort will reveal determinants of cardiometabolic risk factors and cancer risk factors during childhood.

Indexed as

ExerciseFeeding BehaviorLife StyleSocial EnvironmentBody Mass IndexCohort StudiesFemaleHealth SurveysHumansJapanMaleMenarcheObesitySleep HygieneStudentsSurveys and Questionnairescohort studiesJapanprofileschool children

Identifiers

PMID30344192
PMCPMC6556436
OpenAlexW2896145217

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.