Body Composition

Family Affluence and Lifestyle Behaviors as Determinants of Fat Mass Index in University Students: A Sex-Specific Structural Equation Modeling Approach.

TL;DR

In university students, proximal lifestyle indicators showed stronger direct associations with fat mass index than family affluence, with physical activity representing the strongest protective factor in both sexes.

Key Findings

Physical activity was inversely associated with fat mass index in both males and females and represented the strongest protective factor in both sexes.

  • Males: β = -0.36, 95% CI: -0.46 to -0.26, p < 0.001
  • Females: β = -0.35, 95% CI: -0.45 to -0.25, p < 0.001
  • The association was consistent in magnitude across sexes
  • Sample included 199 males and 219 females (418 total university students)

The negative dietary index showed a significant positive association with fat mass index in both males and females.

  • Males: β = 0.34, 95% CI: 0.21 to 0.48, p < 0.001
  • Females: β = 0.26, 95% CI: 0.10 to 0.42, p = 0.001
  • The association was stronger in males than in females
  • Both positive and negative dietary indices were assessed using standardized questionnaires

Sedentary time was positively associated with fat mass index only in females, not in males.

  • Females: β = 0.15, 95% CI: 0.02 to 0.28, p = 0.022
  • No statistically significant association was observed in males
  • This represents a sex-specific finding identified through sex-stratified structural equation modeling

Family affluence showed no statistically significant direct effect on fat mass index in either males or females.

  • No significant direct effect was observed in males or females
  • Family affluence was assessed using the Family Affluence Scale (FAS)
  • This finding held despite family affluence being 'commonly considered an important contextual determinant of adiposity'
  • The study design was cross-sectional, limiting causal inference

The structural equation models explained differing proportions of fat mass index variance between the sexes.

  • The SEM model explained 30% of FMI variance in males
  • The SEM model explained 37% of FMI variance in females
  • Sex-specific models were estimated for males and females independently
  • Variables included family affluence, physical activity, sedentary time, and positive and negative dietary indices

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Citation

Domaradzki J. (2026). Family Affluence and Lifestyle Behaviors as Determinants of Fat Mass Index in University Students: A Sex-Specific Structural Equation Modeling Approach.. Nutrients. https://doi.org/10.3390/nu18050730