Unbalanced dietary patterns, hidden obesity, and low protein mass are widespread among Chinese university students, with sex-specific differences, and weekly fruit intake showed a weak but positive association with both body fat and protein percentages after adjusting for confounders.
Key Findings
Results
Hidden obesity was observed in 17.0% of university students and was significantly more prevalent among females than males.
Hidden obesity was defined as excessive body fat despite normal body mass index.
Overall prevalence of hidden obesity was 17.0% across the 993 students.
Prevalence was 23.0% among females compared to only 1.1% among males (p < 0.05).
Body composition was measured using a bioelectrical impedance analyzer.
Study was conducted among undergraduate students at a major Chinese university.
Results
Low protein mass was present in 31.0% of students and was more prevalent among females than males.
Low protein mass was measured by bioelectrical impedance analysis.
Overall prevalence of low protein mass was 31.0% across the sample.
Prevalence among females was 33.5% compared to 24.6% among males (p < 0.05).
The sex-specific difference was statistically significant.
Results
Fewer than half of participants reported daily vegetable consumption, and only 18.2% consumed fruit daily.
Daily vegetable consumption was reported by fewer than 50% of the 993 participants.
Daily fruit consumption was reported by only 18.2% of participants.
Dietary intake was assessed using validated questionnaires.
These findings indicate widespread unbalanced dietary patterns among the student population.
Results
Weekly fruit intake showed a weak but positive association with both body fat percentage and protein percentage after adjusting for confounders.
The association was statistically significant (p < 0.05).
The association was described as 'weak but positive' for both body fat and protein percentages.
Multivariable regression analyses were used to examine associations while adjusting for confounders.
The authors noted this relationship 'may reflect broader dietary or lifestyle behaviors rather than a direct protective effect.'
Methods
The study assessed a cross-sectional sample of 993 undergraduate students using validated questionnaires and bioelectrical impedance analysis.
993 undergraduate students at a major Chinese university were enrolled.
Dietary intake, physical activity, sleep, and other lifestyle factors were assessed using validated questionnaires.
Body composition including body fat percentage and protein status was measured with a bioelectrical impedance analyzer.
A cross-sectional survey design was used.
Associations were examined using multivariable regression analyses.
Results
Sex-specific differences in both hidden obesity and low protein mass were identified among Chinese university students.
Hidden obesity was substantially higher in females (23.0%) versus males (1.1%).
Low protein mass was higher in females (33.5%) versus males (24.6%).
Both sex differences were statistically significant (p < 0.05).
The authors identified sex-specific differences as a key characteristic of body composition in this population.
Liu L, Gong W, Li J, Zhou W, Lin L. (2025). Eating habits, nutritional status, and lifestyle correlates of body composition in Chinese university students: a cross-sectional study.. Frontiers in public health. https://doi.org/10.3389/fpubh.2025.1668307