Evidence map›Paper›PMID 40854345›Full record

ArticleThe American journal of clinical nutrition2025

Anthropometric indices for predicting incident cardiovascular disease: a 13-year follow-up study in a Japanese population.

Takahiro Ichikawa, Hiroshi Okada, Hanako Nakajima, Mari Yoneda, Emi Ushigome, Masahide Hamaguchi, Kazushiro Kurogi, Hiroaki Murata, Eri Tsuda, Naoki Yoshida and 2 more

Abstract read
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Article in The American journal of clinical nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

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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

12 authors.

Takahiro IchikawaDepartment of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan.
Hiroshi OkadaDepartment of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan; Department of Diabetes and Endocrinology, Matsushita Memorial Hospital, Moriguchi, Japan. Electronic address: conti@koto.kpu-m.ac.jp.
Hanako NakajimaDepartment of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan.
Mari YonedaDepartment of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan.
Emi UshigomeDepartment of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan.
Masahide HamaguchiDepartment of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan.
Kazushiro KurogiDepartment of Health Care Center, Panasonic Health Insurance Organization, Moriguchi, Japan.
Hiroaki MurataDepartment of Orthopaedic Surgery, Matsushita Memorial Hospital, Moriguchi, Japan.
Eri TsudaDepartment of Health Care Center, Panasonic Health Insurance Organization, Moriguchi, Japan.
Naoki YoshidaDepartment of Health Care Center, Panasonic Health Insurance Organization, Moriguchi, Japan.
Masato ItoDepartment of Health Care Center, Panasonic Health Insurance Organization, Moriguchi, Japan.
Michiaki FukuiDepartment of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo our knowledge, no previous study has compared the predictive capacity of various anthropometric indices of cardiovascular disease (CVD) risk in East Asians.

objectiveThis study aimed to compare which anthropometric indices have a greater impact on CVD in the Japanese population.

methodsData from a health checkup program conducted by the Panasonic Corporation between 2008 and 2021, including 160,656 participants, were analyzed. The primary outcome was the incidence of 3-point major adverse cardiac events (MACEs), including cardiovascular death, nonfatal coronary artery disease, and nonfatal stroke. Cox proportional hazards models and time-dependent receiver operating characteristic (ROC) analyses were used to evaluate the associations between 5 anthropometric indices [body mass index (BMI), waist circumference (WC), a body shape index (ABSI), body roundness index (BRI), and waist-to-height ratio (WHtR)] and incident MACE, stratified by gender.

resultsMultivariate analysis showed that all anthropometric indices were associated with incident MACE in males: BMI {hazard ratio (HR) per SD 1.15, [95% confidence interval (CI): 1.11, 1.18]}, WC [1.15, (1.12, 1.19)], ABSI [1.06, (1.02, 1.09)], BRI [1.16, (1.13, 1.20)], and WHtR [1.17, (1.13, 1.21)]. In females, no significant associations were found between any anthropometric indices and the incident MACE. Among males, the areas under the curve values for BRI and WHtR [both 0.608 (95% CI: 0.598, 0.618)] were higher than those for BMI [0.586 (5% CI: 0.576, 0.596)], WC [0.598 (95% CI: 0.588, 0.608)], and ABSI [0.563 (95% CI: 0.552, 0.573)], with the values for BRI and WHtR being identical. The optimal cut-off values for predicting CVD were 3.250 for BRI and 0.494 for WHtR.

conclusionsBRI and WHtR were more significant predictors of incident CVD in Japanese males >13 y of follow-up than BMI, WC, and ABSI. The identified cutoffs may help improve risk stratification and support early preventive interventions to reduce cardiovascular disease risk.

Indexed as

AnthropometryCardiovascular DiseasesEast Asian PeopleAdultAgedBody Mass IndexFemaleFollow-Up StudiesHumansIncidenceJapanMaleMiddle AgedProportional Hazards ModelsRisk FactorsWaist CircumferenceAnthropometric IndicesCardiovascular diseaseCohortJapaneseRisk Prediction

Identifiers

PMID40854345
PMCPMC12674066

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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.