Food insecurity among graduate students: prevalence and association with depression, anxiety and stress.

OBJECTIVE: The impact of food insecurity on mental health has not yet been examined in graduate students, a population widely considered at elevated risk for financial strain and negative mental health outcomes. This study aimed to derive initial prevalence estimates of food insecurity in a sample of current graduate students at a large state university and to elucidate the relationship between food insecurity and depression, anxiety and stress in this sample. DESIGN: Cross-sectional online survey including the US Household Food Security Survey Module: Six-Item Short Form and the Depression, Anxiety, and Stress Scales (DASS-21). SETTING: University in the northeastern region of the USA. PARTICIPANTS: Two hundred sixty-three graduate students. RESULTS: In the present sample, 59·7 % of participants reported high/marginal food security, 18·5 % reported low food security and 21·8 % reported very low food security. Graduate students with very low food security reported significantly greater depression (η2 = 0·09), anxiety (η2 = 0·10) and stress (η2 = 0·10), compared with those with low food security and high food security (all P's < 0·001). CONCLUSIONS: Food insecurity occurred in nearly half of the graduate students surveyed, and very low food security was associated with elevated levels of depression, anxiety and stress. Findings highlight the need to address food insecurity and associated elevated mental health problems present among graduate students.

Mnemonic convergence in social networks: The emergent properties of cognition at a collective level.

The development of shared memories, beliefs, and norms is a fundamental characteristic of human communities. These emergent outcomes are thought to occur owing to a dynamic system of information sharing and memory updating, which fundamentally depends on communication. Here we report results on the formation of collective memories in laboratory-created communities. We manipulated conversational network structure in a series of real-time, computer-mediated interactions in fourteen 10-member communities. The results show that mnemonic convergence, measured as the degree of overlap among community members' memories, is influenced by both individual-level information-processing phenomena and by the conversational social network structure created during conversational recall. By studying laboratory-created social networks, we show how large-scale social phenomena (i.e., collective memory) can emerge out of microlevel local dynamics (i.e., mnemonic reinforcement and suppression effects). The social-interactionist approach proposed herein points to optimal strategies for spreading information in social networks and provides a framework for measuring and forging collective memories in communities of individuals.

The emotion regulatory function of online social networking: Preliminary experimental evidence.

Correlational research suggests that emotion regulation deficits, which are known risk factors for substance addictions, may also play a role in the development of problem behaviors such as excessive or maladaptive use of social networking sites (SNS). This study sought to experimentally assess the hypothesized emotion regulatory function of SNS use. 139 undergraduates (53.2% female) were randomized to view brief movie clips known to reliably induce positive (37.4%), negative (29.5%), or neutral mood (33.1%) and then to browse a SNS (46.8%) or control website (53.2%). Mood and subjective urge to access SNS and the Internet were assessed before and after viewing the movie clips and browsing the websites. Participants meeting criteria for "moderate" levels of disordered SNS use self-reported significantly greater deficits in emotion regulation (p = .02, ηp2 = 0.14). Increases in positive and negative affect following the mood induction were associated with a decrease in subjective urge to access SNS (r = -0.22, p = .02, r = -0.28, p = .002, respectively). Time spent browsing SNS resulted in significantly greater increases in self-reported positive affect, compared to the control website (p = .001, ηp2 = 0.09). We replicate previous findings of greater emotion regulation deficits in individuals endorsing problematic SNS use. Increased positive and negative affect resulted in decreased urge to access SNS, suggesting that social networking may primarily serve to counter low-arousal emotions like boredom. Data provide initial experimental evidence to support the hypothesized emotion regulatory function of SNS, with SNS exposure resulting in increased positive affect. Findings suggest that interventions targeting problematic SNS use should incorporate strategies for improved emotion regulation.