Evidence map›Paper›PMID 39563447›Full record

ArticleLipids in health and disease2024

Associations of the fat-free mass index and the fat mass index with the risk of developing diabetes and prediabetes in US adults: a nationally representative cross-sectional study.

Da Liu, You-Lan Lei, Li Zhang, Wenyao Wang, Chunli Shao, Qing Zhou, Haiping Liu, Jun Wen, Jingjia Wang, Chen Li and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Lipids in health and disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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.

Da Liu *Department of Cardiology, the First Hospital of Hebei Medical University, No.89 Donggang Road, Shijiazhuang, 050000, Hebei, China.
You-Lan Lei *Peking University Health Science Center, Peking University, Beijing, 100191, China.
Li Zhang *Department of Cardiology, Beijing Longfu Hospital, Beijing Institute of Integrated Traditional Chinese and Western Medicine for Elderly Health, Beijing, 100010, China.
Wenyao Wang *Department of Cardiology, Institute of Vascular Medicine, State Key Laboratory of Vascular Homeostasis and Remodelling, NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Beijing Key Laboratory of Cardiovascular Receptors Research, Peking University Third Hospital, Peking University, Beijing, 100191, China.
Chunli ShaoDepartment of Cardiology, Institute of Vascular Medicine, State Key Laboratory of Vascular Homeostasis and Remodelling, NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Beijing Key Laboratory of Cardiovascular Receptors Research, Peking University Third Hospital, Peking University, Beijing, 100191, China.
Qing ZhouDepartment of Cardiology, Institute of Vascular Medicine, State Key Laboratory of Vascular Homeostasis and Remodelling, NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Beijing Key Laboratory of Cardiovascular Receptors Research, Peking University Third Hospital, Peking University, Beijing, 100191, China.
Haiping LiuDepartment of Cardiology, Institute of Vascular Medicine, State Key Laboratory of Vascular Homeostasis and Remodelling, NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Beijing Key Laboratory of Cardiovascular Receptors Research, Peking University Third Hospital, Peking University, Beijing, 100191, China.
Jun WenDepartment of Cardiology, Institute of Vascular Medicine, State Key Laboratory of Vascular Homeostasis and Remodelling, NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Beijing Key Laboratory of Cardiovascular Receptors Research, Peking University Third Hospital, Peking University, Beijing, 100191, China.
Jingjia WangDepartment of Cardiology, Institute of Vascular Medicine, State Key Laboratory of Vascular Homeostasis and Remodelling, NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Beijing Key Laboratory of Cardiovascular Receptors Research, Peking University Third Hospital, Peking University, Beijing, 100191, China.
Chen LiDepartment of Cardiology, Institute of Vascular Medicine, State Key Laboratory of Vascular Homeostasis and Remodelling, NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Beijing Key Laboratory of Cardiovascular Receptors Research, Peking University Third Hospital, Peking University, Beijing, 100191, China.
Yiming LuoPeking University Health Science Center, Peking University, Beijing, 100191, China.
Jingxin RaoPeking University Health Science Center, Peking University, Beijing, 100191, China.
Yukun ShiPeking University Health Science Center, Peking University, Beijing, 100191, China.
Gang LiuDepartment of Cardiology, the First Hospital of Hebei Medical University, No.89 Donggang Road, Shijiazhuang, 050000, Hebei, China. cardio2004@hebmu.edu.cn.
Jie YangDepartment of Cardiology, Institute of Vascular Medicine, State Key Laboratory of Vascular Homeostasis and Remodelling, NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Beijing Key Laboratory of Cardiovascular Receptors Research, Peking University Third Hospital, Peking University, Beijing, 100191, China. yangjie3014529@163.com.
Mingqi ZhengDepartment of Cardiology, the First Hospital of Hebei Medical University, No.89 Donggang Road, Shijiazhuang, 050000, Hebei, China. mzheng2020@163.com.
Yi-Da TangDepartment of Cardiology, the First Hospital of Hebei Medical University, No.89 Donggang Road, Shijiazhuang, 050000, Hebei, China. 57303411@hebmu.edu.cn.

Funding

the National Natural Science Foundation of China 81825003the Natural Science Foundation, China H2021206416
6 · The paper itself

Abstract

backgroundObesity and overweight, as determined by the body mass index (BMI), are harmful to metabolic health. However, the BMI can not reflect body composition or fat distribution. The fat-free mass index (FFMI) and the fat mass index (FMI) can provide more information on body composition. The aim of the observational research was to determine whether the FMI and the FFMI are significantly associated with the risk of developing diabetes and prediabetes.

methodsThe investigators included data for 10,085 National Health and Nutrition Examination Survey (2011-2018) participants aged over 20 years who underwent dual-energy X-ray absorptiometry (DXA). The FFMI and the FMI were determined based on total fat mass and lean mass measured by DXA. Diabetes and prediabetes status were determined by medical history and laboratory examination. Logistic regression analyses were performed to explore the correlations between the FMI/FFMI and the risk of developing diabetes/prediabetes. Restricted cubic spline analysis was used to explore underlying nonlinear associations.

resultsIn the present study, 1,135 patients were diagnosed with diabetes, 3,258 had prediabetes, and 5,692 were classified as control participants. The FFMI (odds ratio (OR) = 1.10, 95% confidence interval (CI) = 1.04-1.16) and the FMI (OR = 1.08, 95% CI = 1.04-1.12) were independently related to an increased risk of developing diabetes. Moreover, the FFMI (OR 1.08, 95% CI 1.02-1.16) and the FMI (OR 1.07, 95% CI 1.02-1.13) also independently correlated with a rising risk of developing prediabetes. The restricted cubic spline (RCS) outcomes suggested that the associations are approximately linear.

conclusionsBoth the FMI and the FFMI significantly correlated with the danger of developing diabetes and prediabetes, and the correlations are approximately linear.

Indexed as

Body Mass IndexPrediabetic StateAbsorptiometry, PhotonAdipose TissueAdultAgedBody CompositionCross-Sectional StudiesDiabetes MellitusFemaleHumansMaleMiddle AgedNutrition SurveysObesityOdds RatioDiabetesFat-free mass indexFat mass indexPrediabetes

Identifiers

PMID39563447
PMCPMC11575215

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.