Creating a culture that supports food security and health equity at higher education institutions

Leading with well-being: Introducing a model for well-being informed leadership

Higher education brings a catalog of peaks and valleys for students, staff, and faculty. These are heightened by global crises, challenging legislation, and exclusionary practices. These kinds of adversities influence how we show up in higher education spaces and impact both our leadership and well-being. As leadership reciprocally affects, and is affected by, one's well-being, the responsibility to cultivate both within higher education continuously increases. To consistently support and uplift our students and understand the intricate challenges higher education continues to face, we introduce the well-being & leadership transformation (WBLT) model. Informed by leadership and well-being frameworks, the WBLT model integrates leadership and well-being in an intentional and holistic way. This piece establishes the elements of the model and demonstrates the WBLT model in action through various examples.

Social Determinants of Health and College Food Insecurity

In recent years, many students have faced economic hardship and experienced food insecurity, even as universities strive to create more equitable pathways to college. There is a need for a more holistic perspective that addresses the complexity of food insecurity amongst college students. To this end, we examined the relationship between the social determinants of health, including college food insecurity (CoFI) and childhood food insecurity (ChFI), and their relationship with well-being measures. The study sample was a convenience sample that included 372 students at a public university who responded to an online survey in fall 2021. Students were asked to report their food security status in the previous 30 days. We used the following analytical strategies: chi-square tests to determine differences between food secure (FS) and food insecure (FI) students; binary logistic regression of CoFI on student demographics and ChFI; and ordinal or binary logistic regression for well-being measures. Black students, off-campus students, first-generation students, in-state students, and humanities/behavioral/social/health sciences majors were more likely to report CoFI. FI students were more likely to have experienced ChFI and to have lower scores on all well-being measures. ChFI was associated with four well-being measures and its effects were mediated by CoFI. College student health initiatives would benefit from accounting for SDOH, including ChFI experiences and its subsequent cumulative disadvantages experienced during college.

Persistent and Changing Food Insecurity Among Students at a Midwestern University is Associated With Behavioral and Mental Health Outcomes

PURPOSE

To assess associations between persistent and changing food insecurity and behavioral and mental health outcomes in college students.

DESIGN

Online surveys conducted November 2018 and March 2019 (freshman year), and March 2020 (sophomore year) were used to assess food insecurity, which was then used to create 4 food security transitions: persistent food insecurity, emergent food insecurity, emergent food security, and persistent food security.

SETTING

Large Midwestern university.

SAMPLE

593 students completing all 3 surveys.

MEASURES

Dietary intake and behavioral and mental health outcomes (eating disorders, anxiety, depression, sleep quality) were assessed using validated instruments.

ANALYSIS

Associations between food security transitions and dietary intake, behavioral, and mental health outcomes were examined using generalized linear models.

RESULTS

Compared to persistent food security, emergent and persistent food insecurity was associated with lower (7% and 13% respectively) intake of fruits and vegetables combined; persistent food insecurity was associated with 17% lower intake of fruits, 6% lower intake of fiber and 10% higher intake of added sugar from beverages. Compared to persistent food secure students, eating disorder symptom risk was higher for emergent food insecure (OR = 7.61, 95% CI: 3.32, 17.48), and persistent food insecure (OR = 6.60, 95% CI: 2.60, 16.72) students; emergent (OR = 2.05, 95% CI: 1.14, 3.71) and persistent (OR = 2.55, 95% CI: 1.34, 4.87) food insecure students had higher odds of poor sleep quality, and persistent food insecure, emergent food insecure, and emergent food secure students had higher odds of anxiety and depression (OR range 2.35-2.85).

CONCLUSION

Food security transitions were associated with aspects of low diet quality and poorer behavioral and mental health outcomes among college students.

A systematic review of factors associated with student use of campus food pantries: implications for addressing barriers and facilitating use

BACKGROUND

While campus food pantries have been important safety net programs for alleviating food insecurity among college students, factors related to accessing these vital resources have not been fully researched and summarized. This study systematically synthesized peer-reviewed literature on the predictors, barriers to, and facilitators of using campus food pantries among college students.

METHODS

A search was conducted on PubMed, CINAHL Complete, PsychInfo, PsycARTICLES, and ScienceDirect in April 2023. Included studies needed to be peer-reviewed, written in English, and focused on college or university students. Three authors independently screened all articles retrieved from the five databases based on titles, titles and abstracts, and a full article review. The Study Quality Assessment Tool from the National Heart, Lung, and Blood Institute was used to assess the risk of bias in the included cross-sectional studies. The risk of bias and quality of mixed methods or qualitative studies were assessed as well.

RESULTS

Eight studies were included in the systematic review. Students likely to use a college food pantry were food-insecure, who most often identified as Asian, Hispanic/Latino, Filipino or Pacific Islander; were first-generation to college; international students; sophomores and juniors; had student loans; were living off-campus; and were without stable housing. Stigma was the most frequently mentioned barrier to using a food pantry. Participants mentioned facilitators such as convenient location and hours of operation, access to fresh produce and nutritious and safe foods, availability of a variety of foods, friendly and helpful service, social support, and awareness of a pantry through fellow students and other members of the university such as staff and faculty.

CONCLUSIONS

Continued research must address students' systemic barriers to accessing food pantries. Campus food pantry leaders, university administrators, and policymakers need to work together to create cost-effective and sustainable solutions that will alleviate the stigma and burden of food-insecure students and provide them with safe, nutritious, and culturally acceptable foods.

Risk factors of food insecurity among students at diverse post-secondary education institutions: a cross-sectional examination

OBJECTIVE

Identify the prevalence of food insecurity (FI) and compare sociodemographic, mental, physical, behavioral, and environmental risk factors for FI among students at a private university, community college, and historically black college or university (HBCU).

PARTICIPANTS

Adult students attending a private university, community college, or HBCU (n = 4,140) located within the southeastern United States.

METHODS

Using an online survey (2017-2019), FI, sociodemographic, mental, physical, behavioral, and environmental data were collected to understand their association with FI.

RESULTS

Up to 37.1% of students experienced FI. Identifying as black, other/multi-racial, having poor sleep, federal loans, depressive symptoms, high stress, social isolation, or a chronic condition were associated with FI. These associations varied by institution.

CONCLUSIONS

FI is prevalent within diverse post-secondary institutions that serve traditional and nontraditional students with risk factors varying between institutions. The prevalence of FI and risk factors can inform institutional policy responses to ameliorate the effects of FI.