Evidence map›Paper›PMID 41507859›Full record

ArticleBMC nephrology2026

Independent and combined associations of body mass index and visceral fat area with kidney function decline in a healthy Japanese urban population: a longitudinal study.

Miwa Sonoda Enami, Aya Hirata, Kazuyo Kuwabara, Junji Miyazaki, Yoshimi Kubota, Yoko Nishida, Sachimi Kubo, Takumi Hirata, Tomoe Uchida, Aya Kadota and 6 more

Abstract read
In one paragraph

Article in BMC nephrology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Miwa Sonoda EnamiDepartment of Preventive Medicine and Public Health, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
Aya HirataDepartment of Preventive Medicine and Public Health, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan. aya.hirata@keio.jp.
Kazuyo KuwabaraDepartment of Preventive Medicine and Public Health, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
Junji MiyazakiDepartment of Preventive Medicine and Public Health, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
Yoshimi KubotaDepartment of Preventive Medicine, School of Medicine, Hyogo Medical University, Hyogo, 663-8501, Japan.
Yoko NishidaOsaka Institute of Public Health, Osaka, 537-0025, Japan.
Sachimi KuboDepartment of Public Health, Kindai University Faculty of Medicine, Osaka, 589- 8511, Japan.
Takumi HirataDepartment of Preventive Medicine and Public Health, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
Tomoe UchidaDepartment of Preventive Medicine and Public Health, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
Aya KadotaDepartment of Public Health, Shiga University of Medical Science, Shiga, 520-2192, Japan.
Aya HigashiyamaDepartment of Hygiene, Wakayama Medical University, Wakayama, 641-8509, Japan.
Daisuke SugiyamaFaculty of Nursing and Medical Care, Keio University, Kanagawa, 252-0883, Japan.
Tomofumi NishikawaFaculty of Health Science, Kyoto Koka Women's University, Kyoto, 615-0822, Japan.
Naomi MiyamatsuDepartment of Clinical Nursing, Shiga University of Medical Science, Shiga, 520- 2192, Japan.
Yoshihiro MiyamotoOpen Innovation Center, National Cerebral and Cardiovascular Center, Osaka, 564- 8565, Japan.
Tomonori OkamuraDepartment of Preventive Medicine and Public Health, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObesity has been linked to progressive loss of kidney function, but the independent and combined associations of body mass index (BMI) and visceral fat accumulation remain uncertain in healthy individuals. This study aimed to clarify the longitudinal relationship between BMI, visceral fat area (VFA), and chronic kidney disease (CKD), defined as an estimated glomerular filtration rate based on serum cystatin C (eGFRcys) < 60 mL/min/1.73 m² among the Kobe Study participants targeting healthy urban residents in Japan.

methodsA total of 897 participants (267 men, 630 women) without CKD and with a mean age of 61.4 years were analyzed. VFA was measured using the impedance method, and participants were followed for a median of 8.3 years. Participants were classified into four groups based on baseline BMI (kg/m²) and VFA (cm²): G1 (VFA < 100 and BMI < 25), G2 (VFA < 100 and BMI ≥ 25), G3 (VFA ≥ 100 and BMI < 25), G4 (VFA ≥ 100 and BMI ≥ 25). Multivariable linear regression models were used to estimate adjusted mean annual changes in eGFRcys, and Cox proportional hazards models were applied to calculate hazard ratios (HRs) for incident CKD, adjusting for potential confounders (age, sex, smoking status, alcohol consumption, dyslipidemia, diabetes, hypertension and eGFRcys at baseline).

resultsDuring follow-up, 85 participants (9.5%) developed CKD. The adjusted mean annual decline in eGFRcys was − 2.17% in G1, − 3.29% in G2, − 2.81% in G3, and − 3.81% in G4. Compared with G1, both G3 and G4 showed an elevated risks of CKD incidence (G3: HR 2.40, 95% CI 1.14–5.05; G4: HR 3.89, 95% CI 2.17–6.98), whereas the confidence interval crossed 1 for G2 (HR 0.88, 95% CI 0.12–6.47). Participants in G4 exhibited the steepest decline in kidney function and the highest CKD incidence rate (49.2 per 1,000 person-years).

conclusionsIn healthy adults, the combination of elevated BMI and VFA was associated with accelerated kidney function decline. These findings underscore the importance of evaluating visceral fat in addition to BMI for early identification of individuals at increased risk of CKD and enable preventive strategies. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Body Mass IndexIntra-Abdominal FatRenal Insufficiency, ChronicUrban PopulationAgedEast Asian PeopleFemaleGlomerular Filtration RateHumansJapanLongitudinal StudiesMaleMiddle AgedObesityRisk FactorsChronic kidney diseaseLongitudinal studyObesityVisceral fat

Identifiers

PMID41507859
PMCPMC12882207

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.