Patterns of Superficial Midfacial Fat Volume Distribution Differ by Age and Body Mass Index.


Journal

Aesthetic plastic surgery
ISSN: 1432-5241
Titre abrégé: Aesthetic Plast Surg
Pays: United States
ID NLM: 7701756

Informations de publication

Date de publication:
02 2019
Historique:
received: 06 07 2018
accepted: 22 09 2018
pubmed: 5 10 2018
medline: 4 4 2020
entrez: 5 10 2018
Statut: ppublish

Résumé

The changes that occur to midfacial fat with increasing age and BMI are poorly understood. The aim of this study was to determine how superficial cheek fat volume and distribution are differentially predicted by changes in BMI versus age. We conducted a retrospective observational study of patients with facial computed tomography scans. Superficial cheek fat volumes were measured, and multiple linear regression analysis was performed to model the relationships between cheek fat and corresponding sex, age, and BMI data. A total of 109 patients were included in our analysis (51 male, 58 female). The subjects' ages ranged from 21.7 to 91.1 years with a mean (SD) age of 59.7 (15.0) years. The mean (SD) superficial cheek volume of the subjects was 10.46 (2.57) cc. Female subjects had a significantly greater mean total superficial cheek fat volume compared to male subjects (11.18 cc vs. 9.64 cc; P < 0.001). The results of multiple linear regression analysis indicated that together, age, sex, and BMI explained 50.8% of the variance in cheek fat volumes (R Age, sex, and BMI are important predictors of midfacial fat volume. This study shows that increases in age and BMI differentially predict the distribution of superficial cheek fat. This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Sections du résumé

BACKGROUND
The changes that occur to midfacial fat with increasing age and BMI are poorly understood. The aim of this study was to determine how superficial cheek fat volume and distribution are differentially predicted by changes in BMI versus age.
METHODS
We conducted a retrospective observational study of patients with facial computed tomography scans. Superficial cheek fat volumes were measured, and multiple linear regression analysis was performed to model the relationships between cheek fat and corresponding sex, age, and BMI data.
RESULTS
A total of 109 patients were included in our analysis (51 male, 58 female). The subjects' ages ranged from 21.7 to 91.1 years with a mean (SD) age of 59.7 (15.0) years. The mean (SD) superficial cheek volume of the subjects was 10.46 (2.57) cc. Female subjects had a significantly greater mean total superficial cheek fat volume compared to male subjects (11.18 cc vs. 9.64 cc; P < 0.001). The results of multiple linear regression analysis indicated that together, age, sex, and BMI explained 50.8% of the variance in cheek fat volumes (R
CONCLUSIONS
Age, sex, and BMI are important predictors of midfacial fat volume. This study shows that increases in age and BMI differentially predict the distribution of superficial cheek fat.
LEVEL OF EVIDENCE IV
This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Identifiants

pubmed: 30283987
doi: 10.1007/s00266-018-1249-0
pii: 10.1007/s00266-018-1249-0
doi:

Types de publication

Journal Article Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

83-90

Auteurs

Jacob I Tower (JI)

Department of Surgery, Section of Otolaryngology, Yale School of Medicine, 800 Howard Avenue, 4th Floor, ENT Office, New Haven, CT, USA. jacob.tower@yale.edu.

Kimberly Seifert (K)

Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.

Boris Paskhover (B)

Department of Otolaryngology - Head and Neck Surgery, Rutgers New Jersey Medical School, Newark, NJ, USA.

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