Evidence map›Paper›PMID 32713930›Full record

ArticleJournal of epidemiology2021

The Clustering of Health-Related Behaviors in the Adult Japanese Population.

Claire Mawditt, Kiriko Sasayama, Kota Katanoda, Stuart Gilmour

Open access · goldAbstract read
In one paragraph

Article in Journal of epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

9 citing papers in PubMed, 11 citations in OpenAlex.

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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

4 authors at 1 institution in 2 countries.

Claire MawdittCanon Foundation in Europe.ORCID http://orcid.org/0000-0001-7786-7567
Kiriko SasayamaGraduate School of Public Health, St. Luke's International University, OMURA Susumu & Mieko Memorial, St. Luke's Center for Clinical Academia.
Kota KatanodaDivision of Cancer Statistics Integration, Center for Cancer Control and Information Services, National Cancer Center.ORCID http://orcid.org/0000-0001-8687-1269
Stuart GilmourGraduate School of Public Health, St. Luke's International University, OMURA Susumu & Mieko Memorial, St. Luke's Center for Clinical Academia.ORCID http://orcid.org/0000-0002-6556-0995
St. Luke's International University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResearch findings indicate that four health-related behaviors (HRBs), smoking, alcohol, diet, and physical activity, do not co-occur within individuals by chance and therefore cluster. To date, there is a lack of research investigating the clustering of these HRBs in the Japanese population.

methodsThe Japanese National Health and Nutrition Survey 2010 was used, containing information on 8,015 community-dwelling adults. Latent profile analysis identified distinct cluster patterns of four HRBs: smoking status, alcohol consumption, calorie intake, and the number of steps per day.

resultsFor men, four distinct HRB clusters were identified. The largest cluster (54%) was characterized by drinking more than Japan's recommended alcohol guidelines and walking an inadequate number of steps per day. A small cluster (4%) also emerged, characterized by smoking, high calorie intake, and exceeding alcohol guidelines. Members of these clusters had higher systolic blood pressure than those in the remaining clusters. For women, five distinct HRB clusters were identified. The largest cluster (57%) was characterized by not smoking or drinking and walking an inadequate number of steps per day. For both genders, there was a relationship between cluster membership and age. Cluster membership was associated with income and health status among men but not women.

conclusionDetecting distinct clusters of HRBs in a Japanese population-based survey provides a person-centered understanding of Japanese lifestyles. This approach can assist policy makers in Japan and overseas to identify new strategies for targeting behavioral risk factors and make health promotion policies more effective in their respective countries.

Indexed as

Health BehaviorAdultAlcohol DrinkingCluster AnalysisDietExerciseFemaleHumansJapanLife StyleMaleNutrition SurveysSmokingclusteringgenderhealth-related behaviorJapanlatent profile analysis

Identifiers

PMID32713930
PMCPMC8275444
OpenAlexW3044364714

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.