The path less traveled: Using structural equation modeling to investigate factors influencing bone functional...

Area of Science:

• Biomechanics
• Skeletal Biology
• Functional Morphology

Background:

• The link between mechanical forces and bone strength is well-documented.
• Bone remodeling is influenced by numerous intrinsic and extrinsic factors, creating a complex interplay.
• Structural Equation Modeling (SEM) offers a robust method to analyze these multifaceted relationships.

Purpose of the Study:

• To investigate the individual and combined effects of various factors on bone strength using SEM.
• To determine how body mass, lean mass, exercise, and peak body mass impact bone structural properties.

Main Methods:

• Analysis of data from the Third National Health and Nutrition Examination Survey.
• Application of Structural Equation Modeling (SEM) to assess relationships between variables.
• Inclusion of factors such as sex, total body mass, lean body mass, exercise frequency, peak body mass, and age.

Main Results:

• Body mass significantly influences bone's cross-sectional area.
• Body mass and lean mass exhibit similar effects on the polar moment of area (J).
• Peak body mass directly impacts J, though it decreases with increased lean mass; exercise shows indirect effects, modifying body and lean mass.

Conclusions:

• SEM is effective for dissecting complex systems in bone functional morphology.
• SEM can identify causal links in skeletal remodeling, including secondary effects of weight loss and exercise.