Evidence map›Paper›PMID 40597975›Full record

ArticleBMC endocrine disorders2025

Association of predicted basal metabolic rate and insulin resistance in a Chinese general population.

Linghuan Wang, Tingting Lu, Peixin Wu, Kang Chen, Yiming Mu

Abstract read
In one paragraph

Article in BMC endocrine disorders, 2025. 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
–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

2 citing papers in PubMed.

  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

5 authors.

Linghuan Wang *Medicine School of Nankai University, No. 94, Weijin Road, Nankai District, Tianjin, 300071, China. 13212088719@163.com.
Tingting Lu *Medicine School of Nankai University, No. 94, Weijin Road, Nankai District, Tianjin, 300071, China.
Peixin WuMedicine School of Nankai University, No. 94, Weijin Road, Nankai District, Tianjin, 300071, China.
Kang ChenDepartment of Endocrinology, Chinese PLA General Hospital, No.28, Fuxing Road, Haidian District, Beijing, 100853, China.
Yiming MuMedicine School of Nankai University, No. 94, Weijin Road, Nankai District, Tianjin, 300071, China. muyiming@301hospital.com.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough basal metabolic rate (BMR) is involved in glucose homeostasis, existing evidence regarding its association with insulin resistance (IR) remains inconsistent across populations. This study aimed to clarify the relationship between predicted BMR and the prevalence of IR in a large, community-based Chinese population.

methodsA total of 36,115 participants aged ≥ 40 years were included from the REACTION study. Individuals with cardiovascular disease, thyroid dysfunction, malignancy, or who were using glucose-, lipid-, or blood pressure-lowering medications were excluded. BMR was estimated using the Singapore equation, and participants were categorized into quartiles (Q1-Q4) based on BMR distribution. Logistic regression models were employed to assess the association between BMR and IR, defined by the homeostasis model assessment of insulin resistance (HOMA-IR). Covariates included sex, age, smoking status, alcohol consumption, glycemic and lipid profiles, liver and kidney function, and anthropometric indices. Sensitivity analyses using inverse probability weighting and restricted cubic spline regression were conducted to verify the robustness of the findings.

resultsThis cross-sectional study demonstrated a positive association between higher predicted BMR quartiles and increased IR risk in the overall population (P < 0.05), with a stronger association observed in women (P < 0.05). A significant interaction between gender and BMR (P for interaction < 0.05) further supported a sex-specific pattern in the BMR-IR relationship. Stratified analyses revealed consistent positive association in various subgroups stratified by age, blood pressure, body mass index (BMI), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C) levels (P < 0.05). This association persisted across participants with different glucose tolerance statuses, particularly among those with normal glucose tolerance and impaired glucose regulation. The association also remained significant in both premenopausal and postmenopausal women. Sensitivity analyses confirmed the stability of the results.

conclusionsPredicted BMR is independently and positively associated with IR in Chinese general population, particularly in woman. The relationship demonstrated a clear dose-response pattern and remained robust across various subgroups. Monitoring BMR dynamics and targeting modifiable metabolic factors may serve as preventive strategies against IR-relate diabetes mellitus. Further longitudinal studies are warranted to validate causality.

Indexed as

Basal MetabolismInsulin ResistanceAdultAgedBlood GlucoseChinaCross-Sectional StudiesEast Asian PeopleFemaleFollow-Up StudiesHumansMaleMiddle AgedPrevalencePrognosisRisk FactorsBlood GlucoseBasal metabolic rateChinese general populationDiabetes mellitusInsulin resistanceMetabolic syndromeType 2 diabetes mellitus

Identifiers

PMID40597975
PMCPMC12217542

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.