Association between dietary patterns and obesity-related metabolic phenotypes in Chinese middle-aged and older adults: a cross-sectional study

F Fangfang Pu J Jialing Lin R Rui He (Tianjin Key Laboratory of Structure and Performance for Functional Molecules, College of Chemistry) Y Yaoyao Wei J Jingjing Li X Xinyi Liao J Jiuming Yan Y Yan Wang L Lei Shi (School of Health Management Guangzhou Medical University Guangzhou China) X Xianchun Zeng W Wen Hu (State Key Laboratory of Drug Research, Center for Structure and Function of Drug Targets, Shanghai Institute of Materia Medica, Chinese Academy of Sciences)

Abstract

Abstract Middle-aged and elderly people are prone to obesity or metabolic abnormalities, and an unreasonable dietary pattern is an important factor affecting the occurrence or development of metabolic diseases. 15,160 middle-aged and elderly participants classified into four categories on the basis of obesity metabolic phenotype criteria: metabolically healthy nonobese (MHNO), metabolically unhealthy nonobese (MUNO), metabolically healthy obese (MHO), and metabolically unhealthy obese (MUO). The main dietary patterns of the study population were identified via food frequency questionnaire and principal component analysis. A multi-categorical logistic regression model was used to observe the relationships between dietary patterns and different obesity metabolic phenotypes in middle-aged and elderly people. A total of four dietary patterns were extracted. Higher scores for the “egg-dairy preference” pattern were associated with a reduced risk of MUNO, MHO, and MUO. A high consumption of the “plant preference” pattern was also associated with a reduced risk of MUNO. Conversely, a high intake of the “grain and meat preference” pattern was associated with the highest prevalence of MHO. Our study revealed a strong association between a diet rich in eggs and dairy and a lower prevalence of the obesity-related metabolic phenotype in middle-aged and elderly people.

Article Details

Volume / Issue Vol. 15, Issue 1
Published October 06, 2025
ISSN 2045-2322
Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (11)

F

Fangfang Pu

J

Jialing Lin

R

Rui He

Tianjin Key Laboratory of Structure and Performance for Functional Molecules, College of Chemistry

Y

Yaoyao Wei

J

Jingjing Li

X

Xinyi Liao

J

Jiuming Yan

Y

Yan Wang

L

Lei Shi

School of Health Management Guangzhou Medical University Guangzhou China

X

Xianchun Zeng

W

Wen Hu

State Key Laboratory of Drug Research, Center for Structure and Function of Drug Targets, Shanghai Institute of Materia Medica, Chinese Academy of Sciences