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Research Paper

Identifying sex differences in predictors of epicardial fat cell morphology

, , , ORCID Icon, ORCID Icon, ORCID Icon, & show all
Pages 325-334 | Received 11 Jan 2022, Accepted 02 May 2022, Published online: 19 May 2022

Figures & data

Table 1. Characteristics and fat cell sizes of total post-mortem cases and in female and male cases

Figure 1. Correlation matrix of information available from all post-mortem cases and fat cell sizes (FCS).

Figure 1. Correlation matrix of information available from all post-mortem cases and fat cell sizes (FCS).

Figure 2. Univariable correlations of fat cell sizes with body mass index (BMI) and age from all post-mortem cases after sex separation.

Female and male fat cell size correlations with BMI and age were performed using Pearson correlation. Regression line is presented for visual clarity. Relationships between BMI and epicardial, paracardial, and appendix fat cell sizes are shown from a, b and c, respectively. Sex-dependent associations of epicardial, paracardial, and appendix fat cell sizes with age are shown in d, e and f, respectively. Fat cell sizes for each adipose depot were natural log (ln) transformed to achieve a normal distribution. N = 37 females, N = 81 males.
Figure 2. Univariable correlations of fat cell sizes with body mass index (BMI) and age from all post-mortem cases after sex separation.

Table 2. Stepwise linear regression for predictors of fat cell sizes in all cases and after sex separation

Figure 3. Univariable correlations of fat cell sizes with the related fat volume from the subset of post-mortem cases.

Female and male fat cell size correlations with the anatomically related fat volume/area/thickness were performed using Pearson correlation. Regression line is presented for visual clarity. (a) Relationship between epicardial fat cell size with total epicardial fat volume. (b) Relationship between paracardial fat cell size with extra-pericardial fat volume. (c) Relationship between appendix fat cell size and visceral fat volume. Data were natural log transformed when raw data distribution was non-normal.N = 22 females, N = 48 males.
Figure 3. Univariable correlations of fat cell sizes with the related fat volume from the subset of post-mortem cases.

Table 3. Stepwise linear regression for predictors of fat cell sizes in subset of post-mortem cases with available fat volumes/area

Table 4. Stepwise linear regression analysis of fat cell sizes (FCS) as predictors of the size of fat cells in other depots in all cases

Supplemental material

Supplemental Material

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