A population-based cross-sectional study of the association between facial morphology and cardiometabolic risk factors in adolescence

作者：Djordjevic Jelena^*; Lawlor Debbie A; Zhurov Alexei I; Toma Arshed M; Playle Rebecca; Richmond Stephen

来源：BMJ Open, 2013, 3(5): e002910.

DOI：10.1136/bmjopen-2013-002910

Objective: To determine whether facial morphology is associated with fasting insulin, glucose and lipids independent of body mass index (BMI) in adolescents. %26lt;br%26gt;Design: Population-based cross-sectional study. %26lt;br%26gt;Setting: Avon Longitudinal Study of Parents and Children (ALSPAC), South West of England. %26lt;br%26gt;Participants: From the ALSPAC database of 4747 three-dimensional facial laser scans, collected during a follow-up clinic at the age of 15, 2348 white British adolescents (1127 males and 1221 females) were selected on the basis of complete data on cardiometabolic parameters, BMI and Tanner%26apos;s pubertal stage. %26lt;br%26gt;Main outcome measures: Fasting insulin, glucose and lipids (triglycerides, high-density lipoprotein cholesterol (HDLc) and low-density lipoprotein cholesterol (LDLc)). %26lt;br%26gt;Results: On the basis of the collection of 63 x, y and z coordinates of 21 anthropometric landmarks, 14 facial principal components (PCs) were identified. These components explained 82% of the variation in facial morphology and were used as exposure variables. With adjustment for age, gender and pubertal stage, seven PCs were associated with fasting insulin, none with glucose, three with triglycerides, three with HDLc and four with LDLc. After additional adjustment for BMI, four PCs remained associated with fasting insulin, one with triglycerides and two with LDLc. None of these associations withstood adjustment for multiple comparisons. %26lt;br%26gt;Conclusions: These initial hypotheses generating analyses provide no evidence that facial morphology is importantly related to cardiometabolic outcomes. Further examination might be warranted. Facial morphology assessment may have value in identifying other areas of disease risk.

• 出版日期2013