Meaning in life, which has two possible sources: self-acceptance and social support, is essential to the mental health and development of college students. The current study aims to further clarify the symptom-level relations between meaning in life, self-acceptance, and social support, finding possible ways to improve meaning in the life of college students. Thousand three hundred and forty-eight Chinese college students completed the online questionnaire, including Self-acceptance Questionnaire, Social Support Rating Scale, and Meaning in Life Questionnaire and the data from 1,263 participants was used. Cross-sectional network analysis was used to examine the relation between self-acceptance and social support. We also explored the relation between dimensions of self-acceptance and social support and meaning in life using the flow network. The results show symptom “SlA” (self-acceptance) is the bridge symptom linking self-acceptance and social support. In the flow diagrams, “SlA” is directly and positively associated with the presence of meaning. Objective Support shares the strongest positive association with the search for meaning. The symptom “SIA” may be an important targeting symptom when trying to improve the meaning in life of college students. Additionally, social support is essential for college students to develop meaning in life.

Although the world has entered the post‐pandemic period, the mental health and life satisfaction of college students still need to be addressed. However, previous literature has primarily focused on negative variables and has paid little attention to positive variables, such as self‐compassion and the capacity to be alone. Therefore, this longitudinal study aims to investigate the relationships between the capacity to be alone, self‐compassion, life satisfaction, depression, and anxiety among college students. This study analyzed data from 1460 Chinese college students who completed an online survey at two time‐points one year apart. We employed cross‐lagged analysis and constructed longitudinal mediation models to explore the relationships between five variables (i.e., capacity to be alone, self‐compassion, life satisfaction, depression, and anxiety). Our findings indicate that depression and life satisfaction could negatively predict each other over time. Self‐compassion in wave 1 could negatively predict depression and anxiety in wave 2. Higher life satisfaction in wave 1 was associated with a lower capacity to be alone in wave 2. We also found reciprocal positive predictive relationships between depression and anxiety, and life satisfaction and self‐compassion. Life satisfaction mediated the relationship between self‐compassion and psychopathological variables (i.e., depression and anxiety). Additionally, self‐compassion mediated the association between life satisfaction and psychopathological variables and the association between capacity to be alone and psychopathological variables. Our study highlights the significance of early identification and intervention in depression and anxiety. We also discovered the possible self‐soothing function of self‐compassion as well as the importance of fostering positive personal characteristics.

Regarding neurophysiological and developmental findings, anxiety and depression are usual comorbidities of gastritis patients. However, research related to anxiety and depression among chronic gastritis patients was conducted on the disease level while ignoring symptoms. Hence, we rendered the network approach to reveal the symptoms of anxiety and depression among chronic gastritis patients. Three hundred and sixty‐nine chronic gastritis patients (female = 139, M _age = 55.87 years) were asked to complete the Self‐Rating Anxiety Scale and Self‐Rating Depression Scale. Three symptom networks and one directed acyclic graph (DAG) network were formed. First, in the anxiety network of chronic gastritis patients, dizziness was the most influential symptom. In the depression network of chronic gastritis patients, depressed affect and psychomotor retardation were the influential symptoms. Second, panic, easy fatiguability, weakness, palpitation, depressed affect, tachycardia, fatigue , and psychomotor agitation bridged the anxiety–depression network of chronic gastritis patients. Third, DAG networks showed that anxiousness and hopelessness could trigger other symptoms in the anxiety–depression networks of chronic gastritis patients. The current study provided insightful information on patients with chronic gastritis by examining the structures of symptoms.