Back

Visceral Fat Metabolic Indices and Thyroid Function: A Stratified Analysis of Non-Linear Associations and Population Modifiers Using NHANES Data

Yang, Z. j.; Chen, K. j.; Pan, W.

2026-03-23 physiology
10.64898/2026.03.19.713076 bioRxiv
Show abstract

BackgroundThis study was designed to investigate the relationship between visceral fat metabolic score (METS-VF), lipid accumulation product (LAP), visceral adiposity index (VAI) and thyroid function. MethodsUtilizing data from the National Health and Nutrition Examination Survey (NHANES) 2007-2012, participants were excluded if they lacked data on METS-VF, LAP, VAI or thyroid function, or were under 18 years of age. Multiple linear regression, smooth curve fitting, and subgroup analyses were performed to determine the independent relationship between lipid accumulation and thyroid function. ResultsAfter full covariate adjustment, all three visceral adiposity indices showed significant positive associations with FT3 (LAP: {beta}=0.028, VAI: {beta}=0.024, METS-VF: {beta}=0.026; all P<0.001), FT3/FT4 ratio, TT3, TT4, and TgAb. LAP and VAI demonstrated inverse associations with FT4 ({beta}=-0.218 and -0.183, respectively; both P<0.001), while VAI and METS-VF were positively associated with TSH ({beta}=0.149, P=0.041; {beta}=0.167, P=0.025). Quartile analyses confirmed dose-dependent relationships, with Q4 participants showing elevated FT3, FT3/FT4, TT3, TT4, and reduced FT4 compared to Q1. RCS analyses revealed distinct non-linear patterns: LAP exhibited non-linearity with FT3, TSH, TT3, and TT4 (all P-nonlinear<0.05) but linear inverse associations with FT4. VAI displayed reverse L-shaped curves for FT3, TSH, and TT3 with plateaus at higher levels, while TT4 showed an inverted U-shape. METS-VF demonstrated non-linear increases for FT3 and TT3, linear associations with TSH and TT4, and an inverted U-curve for FT4. Stratified analyses identified age, race, and smoking as consistent modifiers of FT3/FT4 associations across all indices (interaction P<0.05), with stronger effects in younger/older adults, males, White participants, and high-income groups. TT3 and TT4 modification patterns varied by index. Thyroid autoantibodies showed minimal associations across all indices. ConclusionVisceral lipid accumulation is closely associated with thyroid dysfunction, and this association exhibits significant non-linear characteristics, which are modulated by factors such as age, race, and lifestyle habits. These findings provide new perspectives for the early identification and intervention of obesity-related thyroid dysfunction.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
The Journal of Clinical Endocrinology & Metabolism
35 papers in training set
Top 0.1%
28.4%
2
PLOS ONE
4510 papers in training set
Top 15%
12.6%
3
Obesity
19 papers in training set
Top 0.1%
8.6%
4
American Journal of Physiology-Endocrinology and Metabolism
34 papers in training set
Top 0.1%
7.0%
50% of probability mass above
5
Scientific Reports
3102 papers in training set
Top 30%
4.1%
6
Frontiers in Endocrinology
53 papers in training set
Top 0.5%
3.7%
7
Current Developments in Nutrition
15 papers in training set
Top 0.3%
2.7%
8
International Journal of Obesity
25 papers in training set
Top 0.3%
1.9%
9
Journal of the Endocrine Society
11 papers in training set
Top 0.1%
1.9%
10
The Journal of Nutrition
21 papers in training set
Top 0.3%
1.7%
11
Frontiers in Nutrition
23 papers in training set
Top 0.7%
1.7%
12
Journal of Lipid Research
35 papers in training set
Top 0.2%
1.7%
13
PeerJ
261 papers in training set
Top 11%
1.1%
14
Journal of Alzheimer’s Disease
39 papers in training set
Top 0.8%
1.0%
15
The Journal of Nutritional Biochemistry
13 papers in training set
Top 0.3%
0.9%
16
Endocrinology
38 papers in training set
Top 0.5%
0.9%
17
Nutrients
64 papers in training set
Top 2%
0.8%
18
Molecular Metabolism
105 papers in training set
Top 2%
0.8%
19
Frontiers in Physiology
93 papers in training set
Top 6%
0.8%
20
BMJ Open Diabetes Research & Care
15 papers in training set
Top 1%
0.8%
21
eBioMedicine
130 papers in training set
Top 4%
0.8%
22
International Journal of Environmental Research and Public Health
124 papers in training set
Top 7%
0.7%
23
European Heart Journal
16 papers in training set
Top 0.9%
0.7%
24
Journal of Translational Medicine
46 papers in training set
Top 3%
0.7%
25
European Journal of Preventive Cardiology
13 papers in training set
Top 1.0%
0.7%
26
British Journal of Cancer
42 papers in training set
Top 2%
0.7%
27
eLife
5422 papers in training set
Top 61%
0.7%
28
The Journal of Steroid Biochemistry and Molecular Biology
10 papers in training set
Top 0.5%
0.5%
29
Biology of Sex Differences
29 papers in training set
Top 1.0%
0.5%