Objective: People living with severe mental illness are at increased risk of medical comorbidity as well as poverty, food insecurity, and inadequate social support in managing their mental and physical health conditions. Lack of access to sufficient food negatively affects a person's ability to manage health conditions, in particular diabetes, which is twice as common among people with severe mental illness as the general population. This study aimed to explore associations among food insecurity, social support, and psychiatric symptoms among adults with severe mental illness and diabetes.
Method: A cross-sectional survey was conducted between January and May 2021 among adults ( = 156) with severe mental illness and type 2 diabetes who received primary care through a large academic health-care system (26% response rate). Valid and reliable questionnaires were implemented to measure food insecurity, social support, and mental health. Regression analysis was applied to examine the associations between food security status, social support, and mental health.
Results: Food insecurity and social support are both correlated with psychiatric symptom severity. Specifically, support from family members has the largest protective role against food insecurity.
Conclusions And Implications For Practice: This study found food insecurity is likely a critical issue to address whenever it is present in adults with severe mental illness (SMI) and type 2 diabetes. The presence of family support mitigates the need for addressing food insecurity. Practices and policies aimed at both addressing health inequities such as food insecurity and strengthening family support among people living with SMI and comorbid medical conditions are important adjuncts to self-management interventions. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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http://dx.doi.org/10.1037/prj0000525 | DOI Listing |
BMC Health Serv Res
January 2025
Department of Population and Behavioural Sciences, School of Public Health, University of Health and Allied Sciences, Hohoe, Ghana.
Background: Diabetes mellitus is the second leading cause of death in South Africa, and almost 90,000 people died from diabetes-related causes in the year 2019. This study aimed to investigate facilitators that can be harnessed to strengthen community actions and barriers that should be redressed in structured public health and health promotion programs for people with diabetes mellitus at a primary healthcare level.
Methods: An exploratory qualitative study was conducted using face-to-face interviews among 20 conveniently sampled participants.
J Behav Med
January 2025
Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
This study examined associations between food insecurity (FI) severity, anxiety symptoms, and sleep duration among young adults in food-insecure households. We hypothesized that more severe FI and higher anxiety would independently predict shorter sleep duration, and that anxiety would amplify the FI-sleep duration relationship. Analysis was conducted on a subsample (n = 96) of the EAT 2010-2018 young adult cohort.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Nutrition, Dietetics and Food Science, Brigham Young University, Provo, Utah, United States of America.
The objective of this study was to develop and to test the validity and reliability of a survey aimed to evaluate internal and external factors associated with college food insecurity. Researchers used a mixed methods approach to evaluate the College Perspectives around Food Insecurity survey. Survey items were constructed from interview data and assigned a social cognitive theory concept (environment, personal, or behavior).
View Article and Find Full Text PDFJ Hunger Environ Nutr
January 2024
Division of Infectious Diseases and Vaccinology, School of Public Health, University of California, Berkeley, Berkeley, California, United States.
The COVID-19 pandemic worsened food insecurity worldwide. The aim of this study was to examine the impact of the pandemic on perceived food insecurity among households in rural Esmeraldas, Ecuador. We conducted a cross-sectional survey to characterize pandemic impacts on household livelihoods and food insecurity in five communities.
View Article and Find Full Text PDFHealth Serv Res
January 2025
Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA.
Objective: To assess the utility and challenges of using natural language processing (NLP) in electronic health records (EHRs) to ascertain health-related social needs (HRSNs) among older adults.
Study Setting And Design: We extracted HRSN information using the NLP system Clinical Text Analysis and Knowledge Extraction System (cTAKES), combined with Concept Unique Identifiers and Systematized Nomenclature for Medicine codes. We validated cTAKES performance, via manual chart review, on two HRSNs: food insecurity, which was included in the healthcare system's HRSN screening tool, and housing insecurity, which was not.
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