Depressive Symptoms In College Students Research Articles

A 2-year longitudinal study of the association between unhealthy lifestyle factors and the development of depressive symptoms in university students.

The aim of this study was to investigate the association between unhealthy lifestyle factors and the development of depressive symptoms with adjustment for sociodemographic characteristics in university students using health checkup data. Among information obtained from university student health checkups conducted in 2017 and 2019, we analyzed both the clinical data and responses to questionnaires. The subjects used for analysis were 3190 individuals (2382 men and 808 women, mean age 19.0 years) who had been free of depressive symptoms in the 2017 survey and were available for a 2-year follow-up. The Patient Health Questionnaire (PHQ-2) was used as a self-rating scale for depressive symptoms. Multivariable logistic regression analysis was conducted to investigate the association between lifestyle factors (such as body mass index, self-rated health, whether breakfast was taken, degree of exercise, satisfaction with sleep, smoking, and alcohol drinking) in the 2017 survey and any development of depressive symptoms revealed in the 2019 survey, adjusting for sociodemographic variables and other lifestyle factors. Multivariable logistic analysis showed that poor satisfaction with sleep (odds ratio [OR), 4.09; 95% confidence interval [CI), 1.96-8.53; p < 0.01) and female gender (OR, 2.16; 95% CI, 1.01-4.60; p = 0.05) were significantly associated with the development of depressive symptoms 2 years later. This study has revealed an association between poor satisfaction with sleep and the development of depressive symptoms. We believe that these findings may be useful for the prevention and treatment of depressive symptoms in university students.

Using Network Analysis to Subgroup Risk Factors for Depressive Symptoms in College Students.

Network modeling has been suggested as an effective method to explore intricate relationships among antecedents, mediators, and symptoms. In this study, we aimed to investigate whether the severity of depressive symptoms in college students affects the multivariate relationships among anhedonia, smartphone addiction, and mediating factors. A survey was conducted among 1347 Chinese college students (587 female) to assess depressive symptoms, anhedonia, addictive behaviors, anxiety, and insomnia. The participants were categorized the non-depressive symptom (NDS) and depressive symptom (DS) groups based on a cut-off score of 5 on the 9-item Patient Health Questionnaire-9. Network analysis was performed to investigate the symptom-to-symptom influences of symptoms in these two groups. The network of the DS group was more densely connected than that of the NDS group. Social anticipatory anhedonia was a central factor for DS, while withdraw/escape (one factor of smartphone addiction) was a central factor for NDS. The DS group exhibited greater strength between the PHQ9 score and social anticipatory anhedonia, as well as between the PHQ9 score and alcohol misuse score, compared to the NDS group. On the other hand, the NDS group had higher strength between anxiety and feeling lost, as well as between anxiety and withdraw/escape, compared to the DS group. The findings suggest that there is a close relationship between social anhedonia, smartphone addiction, and alcohol consumption in the DS group. Addressing on ameliorating social anhedonia and smartphone addiction may be effective in preventing and managing depression in college students.

Longitudinal Relations among Self-Compassion, Self-Esteem, and Depressive Symptoms in College Students: Disentangling the Within-Person Process from Stable Between-Person Differences.

Although previous studies have shown that self-compassion is associated with self-esteem and depressive symptoms, little is known about the intra-individual processes and the temporal dynamics of these variables. This study used a longitudinal design to explore the association between self-compassion, self-esteem and depressive symptoms among 5785 college students (aged 17-22 years; Mage = 18.63, SD = 0.88; 48.2% females). The participants were assessed six times in a six-month interval over three years. The random intercept cross-lagged panel models (RI-CLPMs) were used to disentangle within-person processes from stable between-person differences. Results of RI-CLPMs indicated that at the within-person level, self-compassion can positively predict subsequent self-esteem and negatively predict subsequent depressive symptoms, and vice versa. Self-esteem played a longitudinal mediating role in the prediction from self-compassion to depressive symptoms at the within-person level. These results indicate that cultivating self-compassion in college students is crucial as it can bolster their self-esteem and alleviate depressive symptoms.

Does Parasympathetic Nervous System Activity Exacerbate Depressive Symptoms in College Students Who Experienced Parent-Child Separation? A Longitudinal Examination.

Childhood separation caused by parental migration increases the risk of suffering depressive symptoms among college students. However, most studies in this field have focused on environmental factors and largely ignored the role of physiological reactivity to stress (e.g., parasympathetic nervous system activity) in this process. The present study examined the long-term effects of the parent-child separation experience on depressive symptoms in college students, and explored the moderating role of parasympathetic nervous system (PNS) activity in these relationships. The participants were 242 college students (Mage = 18.74 years, SD = 0.79; 32.2% male), including 149 college students who experienced parent-child separation and 93 college students without this experience. Using a three-wave longitudinal design, participants completed the measures of the parent-child separation experience, PNS activity (measured via respiratory sinus arrhythmia, RSA), and depressive symptoms at Time 1 (T1, before the COVID-19 lockdown). Their depressive symptoms were again measured at Time 2 (T2, during the COVID-19 lockdown) and Time 3 (T3, after the COVID-19 lockdown). The results showed that the parent-child separation experience positively predicted depressive symptoms in college students at three time points. Moreover, the parent-child separation experience positively predicted depressive symptoms at T2 among males with less and average RSA suppression but positively predicted depressive symptoms at T2 among females with greater RSA suppression. These findings indicate a long-term effect of parent-child separation on depressive symptoms in college students that still exist after they entered university, and that the effect varies depending on PNS activity and gender.

Time spent on social media and depressive symptoms in university students: The mediating role of psychoactive substances.

Although some studies have related social media use and depressive symptoms, little is known about the role of psychoactive substance use in this relationship. Therefore, this study aimed to estimate the association between time spent on social media (TSSM) and depressive symptoms and to examine whether this relationship is mediated by psychoactive substances in students. Our cross-sectional analysis included a sample of students from a university in a large city in southern Brazil. The TSSM and tobacco frequency of consumption were self-reported. Depressive symptoms were assessed with the Patient Health Questionnaire. Alcohol and illicit drug-related risks were assessed with the Alcohol, Smoking and Substance Involvement Screening Test. Hayes's PROCESS macro was used for mediation analyses, adjusted for age, sex, body mass index and physical activity. A total of 3161 students were included, of which, 69.0% reported moderate to severe depressive symptoms. The association between TSSM and depressive symptoms was statistically significant and partially mediated by tobacco consumption (indirect effect [IE] = 0.05; 95% CI: 0.02-0.08), alcohol-related risk (IE = 0.19; 95% CI: 0.14-0.25), and illicit drug-related risk (IE = 0.08; 95% CI: 0.05-0.12). Our data suggest a direct relationship between TSSM and depressive symptoms, with a partial mediation effect of psychoactive substance use. This study highlights the importance that public health initiatives aimed at preventing depressive problems in young adults should focus not only on TSSM, but also on controlling and reducing psychoactive substance use.

The Relationship Between Stressful Life Events and Depressive Symptoms in College Students: mediation by Parenting Style and Gender's Moderating Effect.

Stressful life events have a significant impact on the mental health of college students. Depression, as a prevalent psychological issue, has garnered attention in the field of college student mental health and is closely linked to it. Additionally, parenting style is identified as an important factor influencing the development of college students' mental health. Therefore, this study aims to explore the relationship between these three factors. A total of 8079 first-year college students from two medical universities in Shandong Province, China were surveyed. The Beck Depression Inventory was utilized to evaluate depressive symptoms among the college students, while the Adolescent Self-rating Life Events Checklist and the Egna Minnen Beträfande Uppfostran were employed to gather data. Subsequently, the SPSS macro program PROCESS was utilized to analyze both the mediating and moderating effects. All statistical analyses were conducted using SPSS 26.0. The study found a detection rate of 6.3% for depressive symptoms among college students. The correlation analysis of this study showed that the stressful life events of college students were significantly positively correlated with depressive symptoms (r=0.261, p< 0.01). Each dimension of parenting style was associated with depressive symptoms in different degrees and directions. At the same time, parenting styles of all sizes play a partial mediating role between stressful life events and depressive symptoms in college students, gender plays a crucial regulatory role in this mediation. Stressful life events experienced by college students have a significant impact on their mental health. Early intervention through positive parenting styles from parents may prove to be beneficial in promoting the development of good mental health among college students.

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

ObjectiveTo explore the classification of depressive symptoms in college students and the relationship between those symptoms and physical activity. MethodsA 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. ResultsA 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). ConclusionSuicidal 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.

Associations of problematic smartphone use with depressive symptoms and suicidal ideation in university students before and after the COVID-19 outbreak: A meta-analysis

Background and aimProblematic smartphone use (PSU) has been suggested to present with depressive symptoms and suicidal ideation (SI) as well as sleep disturbance, lack of social support, and emotional isolation. The aim of this systematic review and meta-analysis was to evaluate the association between PSU with depressive symptoms and SI in university students, and to determine the potential influence of the coronavirus disease 2019 (COVID-19) outbreak. MethodsObservational studies pertinent to our research were identified through comprehensive searches of the PubMed, Embase, Cochrane Library, and Web of Science databases. To account for potential heterogeneity, the random-effects models were employed to aggregate the findings. ResultsEighteen datasets from 17 case-control studies, including 24,019 university students, were included. Among them, 8,775 (36.5 %) had PSU. A higher prevalence of depressive symptoms (odds ratio [OR]: 2.40, 95 % confidence interval [CI]: 2.19 to 2.63, p < 0.001; prediction interval: 1.95 to 2.96) was observed in university students with higher scores for PSU measures. A subgroup analysis showed a stronger association between PSU and depressive symptoms after the COVID-19 outbreak as compared to that before the outbreak (OR: 2.76 versus 2.16, p for subgroup difference = 0.002), which explained the heterogeneity. The association between PSU and depressive symptoms in university students was similar to those reported in studies from China and other countries, and in studies with different quality scores. Finally, a meta-analysis of three studies suggested that PSU was also associated with the prevalence of SI (OR: 2.18, 95 % CI: 1.77 to 2.68, p < 0.001; I2 = 0 %). ConclusionIn university students, PSU may be a risk factor for depressive symptoms and SI, and the association between PSU and depressive symptoms became stronger after the COVID-19 outbreak.

Relationship between physical activity and specific working memory indicators of depressive symptoms in university students.

The detection rate of depression among university students has been increasing in recent years, becoming one of the main psychological diseases that endangers their physical and mental health. According to statistics, self-harm and suicide, for which there is no effective intervention, are the second leading causes of death. To explore the relationship between different elements and levels of physical activity and college students' depression-symptom-specific working memory indicators. Of 143 college students were analyzed using the Beck Depression Self-Rating Scale, the Physical Activity Rating Scale, and the Working Memory Task. There was a significant difference between college students with depressive symptoms and healthy college students in completing verbal and spatial working memory (SWM) tasks correctly (all P < 0.01). Physical Activity Scale-3 scores were significantly and positively correlated with the correct rate of the verbal working memory task (r = 0.166) and the correct rate of the SWM task (r = 0.210) (all P < 0.05). There were significant differences in the correct rates of verbal and SWM tasks according to different exercise intensities (all P < 0.05) and different exercise durations (all P < 0.05), and no significant differences in the correct rates of verbal and SWM tasks by exercise frequency (all P > 0.05). An increase in physical exercise among college students, particularly medium- and high-intensity exercise and exercise of 30 min or more, can improve the correct rate of completing working memory tasks.

The mediating role of social media addiction and sleep quality in the association between social media usage and depressive symptoms in university students

Increase in time spent on social media and its association with depressive symptoms, especially among young adults, has generated the need to understand how this association occurs in order to support the development of policies to reduce harm and complications. In view of this fact, this study aimed to assess the mediating effect of social media addiction and sleep quality on the association between time spent on social media and depressive symptoms in Brazilian university students. This is a cross-sectional study conducted with 2,823 university students, who provided information regarding time spent on social media, social media addiction, depressive symptoms and sleep quality. The mediation analysis, adjusted for confounding factors, was performed using the PROCESS macro for SPSS to obtain the total (c), direct (c'), and indirect effects (EI1, EI2, and EI3). The results identified an association between time spent on social media and depressive symptoms, mediated by social media addiction (EI1 = 20%) and sleep quality (EI1 = 40%). These findings help expand knowledge about the mechanisms that mutually influence the relationship between time spent on social media and depressive symptoms, supporting the adoption of strategies to reduce harm resulting from excessive social media use.

Alcohol relation with anxious and depressive symptoms in college students in the region of Barbacena

Alcohol relation with anxious and depressive symptoms in college students in the region of Barbacena

Problematic social media use, satisfaction with life, and levels of depressive symptoms in university students during the COVID-19 pandemic: Mediation role of social support

The aim of the study was to investigate whether social support might mediate the relationship between problematic social media use (PSMU) and satisfaction with life, and depressive symptoms. The participants of this study consisted of 579 university students ranging in age between 1738 years (M = 21.66, SD = 3.06). Participants completed the Multidimensional Perceived Social Support Questionnaire, the Depression, Anxiety, Stress Scale-21 (DASS-21), the Bergen Social Media Addiction Scale, and the Satisfaction with Life Scale. The results showed that the majority of participants (78.1%) spent an increasing time on social media owing to COVID-19. PSMU significantly predicted satisfaction with life, depressive symptoms, and social support. Social support predicted significantly both satisfaction with life and depressive symptoms. Results of the mediation analysis revealed that a pathway in which social support mediates the relationships between the PSMU and depressive symptoms and satisfaction with life is possible. These results suggest that social support may be an important psychological mechanism that mitigates the influence of PSMU on mental health.

Associations between mobile phone addiction and depressive symptoms in college students: A conditional process model

Depression is a prominent mental health problem facing college students today. Mobile phone addiction is a potential factor that may affect depression. However, the precise relationship between mobile phone addiction and depression is still unclear, which limits the optimization and further application of intervention programs aimed at alleviating mobile phone addiction. Previous studies have shown that poor sleep quality can significantly increase depressive symptoms. According to the “theory of diathesis-stress”, neuroticism as a susceptibility quality can affect the occurrence of depression. Therefore, this study aimed to investigate how sleep quality and neuroticism may influence the relationship between mobile phone addiction and depressive symptoms. These relationships were studied in 850 Chinese college students by building a conditional process model, which involved mobile phone addiction as the focal predictors, depressive symptoms as the outcome, sleep quality as the mediator, and neuroticism as the moderator. Correlational analyses indicated that both mobile phone addiction and depressive symptoms were significantly and negatively associated with sleep quality, and mobile phone addiction was significantly and positively associated with depressive symptoms. Additionally, sleep quality mediated the association between mobile phone addiction and depressive symptoms. Moreover, a neurotic personality respectively moderated the relationships between mobile phone addiction and depressive symptoms, and between sleep quality and depressive symptoms. These findings suggest that intervention in mobile phone addiction and improvement of sleep quality are potentially effective means to directly or indirectly prevent symptoms of depression. This study provides a basis for predicting individual differences in response to reducing the risk of depression among college students.

Construction of a resting EEG-based depression recognition model for college students and possible mechanisms of action of different types of exercise

ObjectivesTo investigate the method of resting EEG assessment of depressive symptoms in college students and to clarify the relationship between physical activity level and depressive symptoms in college students.MethodsUsing a cross-sectional study design, 140 current full-time college students were recruited to complete the Self-Rating Depression Scale and the International Physical Activity Questionnaire, and 10-min resting EEGs were obtained.Results1) The power values of δ and α2 in the central (C3, C4) and parietal (P3, P4) regions of depressed college students were significantly higher than those of normal college students. And the degree of lateralization of δ, θ, α1, and α2 in the prefrontal regions (F3, F4) of depressed college students was significantly higher than that of normal college students (all P < 0. 008). 2) The recall rate of the depression recognition model for college students based on resting EEG was 66.67%, the precision was 65.05%, and the AUCs of the training group and validation group were 0.791 and 0.786, respectively, with better detection effects. 3) The two indicators, δ (C3 + C4) and α1 (F4-F3), are significantly correlated with IPAQ scores, and among college students who engage in ball games most commonly, those with a higher level of physical activity have lower δ (C3 + C4) and higher α1 (F4-F3), while among those who engage in resistance training most commonly, higher levels of physical activity are associated with lower δ (C3 + C4).ConclusionThe resting EEG of depressed college students has a certain specificity that can objectively assess the risk of developing depressive symptoms in college students. Physical activity is associated with abnormal EEG signals of depressive symptoms. Different types of physical activity may modulate the relationship between physical activity levels and EEG indicators.

Correlation and pathways of behavioral activation systems mediating physical activity level and depressive symptoms among college students.

Depression is a common mental disorder among college students. The main symptoms include being persistent low mood, sad emotional experiences, lack of pleasure, listlessness, and impaired cognitive function accompanied by tendencies of self-harm and suicide. To clarify the pathways and effects of the behavioral activation system between physical activity and depressive symptoms in college students with depressive symptoms. This cross-sectional research screened 3047 college students. Of these, 472 had depressive symptoms, with a depression detection rate of 15.49%. Furthermore, 442 college students with depressive symptoms were analyzed. A one-way analysis of variance and Pearson's correlation, linear regression, and structural equation modeling analyses were used to explore the correlations and pathways of the interactions between the variables. Depressive symptoms were significantly negatively correlated with physical activity (r = -0.175, P < 0.001), the behavioral activation system (r = -0.197, P < 0.001), and drive (r = -0.113, P = 0.017). Furthermore, it was negatively correlated with fun-seeking (FS) (r = -0.055, P = 0.251); however, it was not significant. Physical activity was significantly positively correlated with reward responsiveness (RR) (r = 0.141, P = 0.003) and drive (r = 0.124, P = 0.009) and not significantly positively correlated with FS (r = 0.090, P = 0.058). The mediating effect of RR between physical activity and depressive symptoms was significant [B = -0.025, 95% confidence interval (95%CI): -0.051 to -0.008, P = 0.001]. The direct and total effects of physical activity on depressive symptoms and were significant (B = -0.150, 95%CI: -0.233 to -0.073, P < 0.001; B = -0.175, 95%CI: -0.260 to -0.099, P < 0.001), respectively. As physical activity levels increased, depression scores among college students decreased. The mediating effect of RR between physical activity and depressive symptoms was significant. Therefore, colleges and universities should encourage college students with depression to increase their physical activity and improve their behavioral activation system. Particular attention should be paid to RR, which may reduce the prevalence of depressive symptoms.

Correlation of exercise participation, behavioral inhibition and activation systems, and depressive symptoms in college students

To clarify the pathways and effects of the behavioral inhibition and activation systems in the relationship between exercise participation and depressive symptoms among college students. A cross-sectional research design was employed to survey 2606 college students using physical activity questionnaires, the Behavioral Inhibition/Activation Systems Scale, and the Beck Depression Inventory. Data were analyzed using methods including one-way ANOVA, independent sample t-tests, non-parametric tests, chi-square tests, correlation analysis, and structural equation modeling. Depressive symptoms were significantly negatively correlated with exercise participation (r = − 0.107, P < 0.001), reward responsiveness (r = − 0.201, P < 0.001), drive (r = − 0.289, P < 0.001), and fun seeking (r = − 0.102, P < 0.001), and positively correlated with behavioral inhibition (r = 0.084, P < 0.001). Exercise participation was positively correlated with reward responsiveness (r = 0.067, P = 0.001), drive (r = 0.085, P < 0.001), and fun seeking (r = 0.063, P = 0.001). Exercise participation had a significant direct effect (B = − 0.079, 95% CI − 0.116 to − 0.043) and total effect (B = − 0.107, 95% CI − 0.148 to − 0.069) on depressive symptoms. The mediating effects of drive (B = − 0.028, 95% CI − 0.043 to − 0.016) and fun seeking (B = 0.005, 95% CI − 0.001 to 0.011) were significant. The more college students engage in exercise, the lower their depressive symptom scores. Drive and fun seeking mediate the relationship between college students' exercise participation and depressive symptoms. Encouraging exercise participation among college students and enhancing their sensitivity to behavioral activation strategies and reward information may have a significant role in preventing and alleviating depressive symptoms.

Interactive effects of sleep and physical activity on depression among rural university students in China.

Decreased sleep quality and physical activity among university students have become important concerns, while depressive symptoms are on the rise, especially in rural areas. Previous studies have confirmed the association between sleep quality and physical activity and depressive symptoms, but the effect of their interaction on depressive symptoms has been less studied. For this reason, the present study analyzed the interaction between sleep quality and physical activity on depressive symptoms to provide reference and assistance for mental health promotion and intervention for university students in rural areas of China. In this study, we investigated sleep quality, physical activity, and depressive symptoms in 11,423 university students in rural areas of China. The association of sleep quality and physical activity with depressive symptoms was analyzed by using univariate analysis and logistic regression analysis. And further analyzed the association between the interaction effect of sleep quality and physical activity and depressive symptoms. The proportion of university students with depressive symptoms in rural China was 33.3%, with a higher proportion of girls students (36.7%) having depressive symptoms than boys students (28.8%). Logistic regression analysis of the interaction between sleep quality and physical activity and depressive symptoms in university students showed that university students with poor sleep quality and MVPA>60 min/d (OR = 4.40,95% CI: 3.75-5.05) had the highest risk of depressive symptoms (p < 0.001). University students with moderate sleep quality and MVPA of 30-60 min/d (OR = 1.18, 95% CI: 0.75-1.61) had the lowest risk of depressive symptoms (p < 0.001). Moreover, there was no gender difference in this result. The prevalence of depressive symptoms was higher among university students in rural areas of China. There was an interaction between sleep quality and MVPA on depressive symptoms, maintaining a good quality of sleep and an appropriate length of MVPA has a contributory effect on mental health, and the same trend was found for both boys and girls students. It is recommended that university students in rural areas of China should first maintain proper sleep quality while maintaining 30-60 min of MVPA per day, which may reduce the risk of depressive symptoms.

Association of Screen Time with Anxiety and Depressive Symptoms in College Students During COVID-19 Outbreak in Shanghai: Mediation Role of Sleep Quality.

The study aimed to investigate the associations between different types of screen time (ST) and anxiety and depressive symptoms in college students during the Coronavirus disease 2019 (COVID-19) outbreak in Shanghai, China; the potential mediation role of sleep quality was also examined. A total of 1,550 college students completed an online survey in May 2022. ST, Self-rating Anxiety Scale (SAS) score, Self-rating Depression Scale (SDS) score, Pittsburgh Sleep Quality Index (PSQI) score, and physical activity were self-reported. Multiple linear regression and mediation analysis were conducted. The results showed that more time spent in TV/movie viewing (>2 h/day) and recreational reading (>1 h/day) was associated with higher levels of anxiety, while more time spent in online social media (>2 h/day) was associated with a higher level of depressive symptoms. In contrast, time spent in online social media (1-2 h/day) was associated with a lower level of anxiety. Meanwhile, recreational reading (2-3 h/day) had a significant indirect effect on anxiety and depressive symptoms through sleep quality. During the COVID-19 outbreak, the associations of ST with anxiety and depressive symptoms varied by the type of screen viewing in college students. The associations of slightly excessive time spent on recreational reading with higher levels of anxiety and depressive symptoms were partially mediated by sleep quality.

How does change in leisure-time physical activity influence the growth trajectory of depressive symptoms in college students?

Objectives: This longitudinal study was designed to examine the growth trajectory of depressive symptoms among early-stage college students and how the development of vigorous, moderate, and light leisure-time physical activity (LTPA) was related to the growth trajectory. Participants: Four hundred and eighty-eight first- and second-year undergraduate students completed measures of depressive symptoms and LTPA at the beginning, middle, and end of a semester. Methods: Latent growth mixture modeling (LGMM) was conducted. Results: On average, students reported mild levels of depressive symptoms with significant variability at the semester start, but the symptoms elevated over time. LGMM identified two trajectories: low/gradual (75.8%) and high/increasing (24.2%). For both groups, neither vigorous nor moderate LTPA development predicted the growth trajectory of depressive symptoms. However, the change of light LTPA was negatively and significantly associated with the growth trajectory. Even when controlling for covariances, increased light LTPA still had a unique effect on buffering depressive symptoms. Conclusion: There is great potential in targeting comprehensive LTPA strategies to improve college students’ mental health and promote an active lifestyle.

The Ripple Effect: Unveiling the Bidirectional Relationship Between Negative Life Events and Depressive Symptoms in Medical Cadets.

Previous studies have explored the relationship between negative life events and depression, but little is known about the bidirectional relationship between negative life events and depression, particularly in specific groups of medical cadets. This study aimed to explore the relationship between negative life events and depressive symptoms among medical cadets during their four years of college. An analysis of 4-wave longitudinal data collected from 2015-2018 was conducted using a cross-lagged panel network (CLPN) model to explore the complex causal relationship between negative life events and depressive symptoms in medical cadets (N=433). We found differences in negative life events and depressive symptoms among medical cadets across four network models over four years of university. Nodes A-21, A-20, A-23 and A-24, and depressive symptoms D-6 showed greater lagged effect values. Our findings suggest that there is a lagged and mutually causal interaction between negative life events and depressive symptoms in medical cadets over 4 years of college, but that the predictability of negative life events is more important. However, more attention needs to be paid to the predictive role of depressive symptoms, especially those in early life which are often overlooked. Our study provides new insights into the relationship between negative life events and depressive symptoms in university students and helps to refine strategies for prevention and intervention of depression.