Latent profile analysis of depressive symptoms in college students and its relationship with physical activity.

OBJECTIVE: To explore the classification of depressive symptoms in college students and the relationship between those symptoms and physical activity.

METHODS: A convenience sampling method was employed to enlist college students from Songjiang University Town in Shanghai to complete in the General Information Questionnaire, Patient Health Questionnaire-9, and Physical Activity Scale-3.

RESULTS: A total of 3541 students were analyzed, averaging 19.34 years of age with a male composition of 53 %. The participants can be classified into four categories, namely: Group 1, which exhibits the most severe depressive symptoms, including suicidal ideation and cognitive symptoms (11.07 %); Group 2, which only manifests cognitive symptoms without suicidal ideation (14.35 %); Group 3, which presents mild depressive symptoms (23.61 %); and Group 4, consisting of normal college students (50.97 %). Students with strained family and interpersonal relationships, high levels of academic stress, and low frequency of social activities were at higher risk for detecting suicidal intention and cognitive symptoms. The level of physical activity was significantly higher in the normal group than in the other groups (all P < 0.001), and only the frequency of exercise was significantly different among the remaining three groups (χ2  = 14.716, P = 0.005). The detection rate of cognitive symptoms was significantly lower when exercising >3 times per week for 30-59 min (OR = 0.740, 95 % CI: 0.590-0.928; OR = 0.596, 95 % CI: 0.427-0.831).The detection rate of suicidal thoughts was significantly lower when exercising 2 times per month to 2 times per week or >3 times per week (OR = 0.585, 95 % CI: 0.404-0.847; OR = 0.392, 95 % CI: 0.258-0.595).

CONCLUSION: Suicidal ideation and cognitive symptoms can differentiate between various categories of depressive symptoms among college students. Engaging in physical activity serves as a protective factor against depressive symptoms among college students.