Frontiers in nutrition · 2026
Associations of body fat percentage-based obesity with depression and comorbidity-related gut microbiota features in college students.
СтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Xu Yingli, Niu Zhenchi, Zhou Long, Ding Wenqing, Li Jing
Аннотация
INTRODUCTION: The association between body fat percentage (BFP)-defined obesity and depression in college students remains unclear, and gut microbiota alterations in this comorbid condition have not been fully characterized.
METHODS: A total of 906 college students were recruited to examine the prevalence of comorbid obesity and depression and the association between body fat percentage-defined obesity and depression. Logistic regression was used for association analysis. Subsequently, 104 participants balanced for age and sex distributions across groups were selected and divided into four groups: obese with depression (G1), non-obese with depression (G2), obese without depression (G3), and non-obese without depression (G4). Fecal samples were analyzed by 16S rRNA gene sequencing.
RESULTS: The prevalence of comorbid obesity and depression was 9.71%. BFP-defined obesity was significantly associated with depression after adjustment for covariates (OR = 1.62, 95% CI: 1.10-2.38). Gut microbiota analysis showed no significant differences in α-diversity among groups, whereas β-diversity differed significantly between the G1 and G4 (P < 0.05). Descriptive taxonomic profiles suggested differences in the relative abundances of several genera (e.g., decreased Akkermansia, increased Fusobacterium and Collinsella in G1). PICRUSt- based functional prediction suggested differences in inferred microbial metabolic pathways between G1 and other groups, including higher predicted lipopolysaccharide biosynthesis pathway abundance than in G2 and G4.
DISCUSSION: BFP-defined obesity was associated with depression in college students. The microbiome findings were exploratory and suggest that co-occurring obesity and depression may be associated with differences in gut microbial composition and predicted functional potential. Larger longitudinal studies with direct functional and inflammatory measurements are needed.
METHODS: A total of 906 college students were recruited to examine the prevalence of comorbid obesity and depression and the association between body fat percentage-defined obesity and depression. Logistic regression was used for association analysis. Subsequently, 104 participants balanced for age and sex distributions across groups were selected and divided into four groups: obese with depression (G1), non-obese with depression (G2), obese without depression (G3), and non-obese without depression (G4). Fecal samples were analyzed by 16S rRNA gene sequencing.
RESULTS: The prevalence of comorbid obesity and depression was 9.71%. BFP-defined obesity was significantly associated with depression after adjustment for covariates (OR = 1.62, 95% CI: 1.10-2.38). Gut microbiota analysis showed no significant differences in α-diversity among groups, whereas β-diversity differed significantly between the G1 and G4 (P < 0.05). Descriptive taxonomic profiles suggested differences in the relative abundances of several genera (e.g., decreased Akkermansia, increased Fusobacterium and Collinsella in G1). PICRUSt- based functional prediction suggested differences in inferred microbial metabolic pathways between G1 and other groups, including higher predicted lipopolysaccharide biosynthesis pathway abundance than in G2 and G4.
DISCUSSION: BFP-defined obesity was associated with depression in college students. The microbiome findings were exploratory and suggest that co-occurring obesity and depression may be associated with differences in gut microbial composition and predicted functional potential. Larger longitudinal studies with direct functional and inflammatory measurements are needed.