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Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Association Between Relative Fat Mass and Cardiometabolic Disease: Age-Stratified Analysis in Young and Middle-Aged
Teng Li1, Xian Xie2, Zening Jin1
1Department of Cardiology and Macrovascular Disease, Beijing Tiantan Hospital, Capital Medical University, 100070 Beijing, China.
Background:
Current evidence characterizing the association between relative fat mass (RFM) and cardiometabolic disease (CMD) remains limited, with critical gaps persisting in the understanding of age-dependent heterogeneity. Thus, this study aimed to assess the association between RFM and CMD risk across age groups.
Methods:
This study utilized data from the China Health Evaluation And Risk Reduction Through Nationwide Teamwork (ChinaHEART), and enrolled 93,801 community-dwelling adults. CMD was defined as a composite diagnosis that included diabetes mellitus, myocardial infarction, and stroke. Meanwhile, RFM was derived from height, waist circumference, and sex. Participants were stratified into groups of young and middle-aged adults (35-59 years) and older adults (≥60 years). Multivariable logistic regression models were employed to estimate odds ratios (ORs) and 95% confidence intervals (CIs), and to test for interaction effects. Restricted cubic spline models were applied to examine dose-response relationships.
Results:
Among the 93,801 participants, 18,473 (19.69%) had CMD. In the fully adjusted models, each unit increase in RFM was associated with a 9% increase in CMD risk (OR = 1.09, 95% CI: 1.08-1.09). Compared to the lowest RFM quartile (Q1), higher risks were observed in the Q2 (1.68, 1.59-1.77), Q3 (2.56, 2.34-2.80), and Q4 (4.02, 3.68-4.39) groups (p for trend <0.001). A significant RFM-age interaction was identified (p for interaction = 0.001). Restricted cubic splines confirmed significant non-linear dose-response relationships (both p for overall association <0.001; p for non-linear <0.05), with distinct age-specific patterns. Older adults exhibited higher overall CMD risk compared to young and middle-aged adults. The lower RFM inflection point corresponds to an OR of 1 (30 vs. 34), highlighting the greater vulnerability of this age group and informing the future development of age-specific RFM thresholds.
Conclusions:
RFM demonstrates a significant positive association with CMD risk, exhibiting age-dependent heterogeneity, and emphasizing age-tailored interventions for CMD prevention strategies.
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