Association between lactobacillus levels, depressive mood, and BMI in college students: the moderating role of physical activity
Year: 2025
Type: article
Study design: Observational Study
Abstract: Objectives To investigate the association between Lactobacillus levels, depressive mood, and body mass index (BMI) among Chinese college students. In addition, to examine whether depressive mood mediates the association between Lactobacillus levels and BMI and whether physical activity (PA) moderates this association. Methods This cross-sectional study recruited 423 Chinese college students using a multi-stage stratified sampling method. Lactobacillus levels were measured from stool samples, depressive mood was assessed using a well-designed depression scale, PA was tracked with accelerometers, and BMI was calculated using calibrated electronic scales. Confirmatory factor analysis, correlation analysis, regression analysis, and tests for mediation and moderation effects were conducted using SPSS and AMOS software. Results Lactobacillus levels exhibited significant negative correlations with depressive moods (r = −0.131, p < 0.01) and BMI (r = −0.113, p < 0.05), while depressive mood showed a positive correlation with BMI (r = 0.117, p < 0.05). Mediation analysis revealed that depressive moods mediated the association between Lactobacillus levels and BMI, with an indirect effect of −0.021 (95% CI: −0.062 to −0.001). PA significantly moderated the association between Lactobacillus levels and BMI, as evidenced by an interaction coefficient of 0.009 ( p < 0.001). Conclusion Depressive mood could mediate the association between Lactobacillus levels and BMI, with PA playing a moderating role. This study provides new evidence for weight and depression management in college students.
Source: Frontiers in Nutrition
Authors: Youliang Wu, Qing Yi, Zihan Qi, Yao Yin, Yufei Qi
Language: English
Topic: Gut microbiota and health
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $3,801
OpenAlex ID: W4411915781
