Food insecurity and mental health of college students in Lebanon: A cross-sectional study

dc.contributor.authorItani, Rita
dc.contributor.authorMattar, Lama E.
dc.contributor.authorKharroubi, Samer A.
dc.contributor.authorBosqui, Tania Josiane
dc.contributor.authorDiab El-Harakeh, Marwa H.
dc.contributor.authorJomaa, Lamis H.
dc.contributor.departmentFood Security Program
dc.contributor.departmentDepartment of Nutrition and Food Sciences
dc.contributor.departmentDepartment of Psychology
dc.contributor.facultyFaculty of Agricultural and Food Sciences (FAFS)
dc.contributor.facultyFaculty of Arts and Sciences (FAS)
dc.contributor.institutionAmerican University of Beirut
dc.date.accessioned2025-01-24T12:19:12Z
dc.date.available2025-01-24T12:19:12Z
dc.date.issued2022
dc.description.abstractThe present study aimed to assess the prevalence of food insecurity (FI) among college students and explore its association with indicators of mental and psychosocial health. Data were collected using a cross-sectional online survey from college students in different universities in Lebanon during the Spring 2021 semester. FI was assessed using the validated eight-item food insecurity experience scale. The mental health of college students was assessed using validated screening tools for depression, anxiety and well-being, namely the Patient Health Questionnaire (PHQ-9), the General Anxiety Disorder-7 (GAD-7) and the World Health Organization (WHO-5) index, respectively. Multiple linear regression models were conducted to assess the relationship of FI with PHQ-9, GAD-7 and WHO-5 scores. A total of 745 students completed the online survey. Approximately 39 % of students in the sample were experiencing FI of which 27·4, 8·1, and 3·5 % were experiencing mild, moderate and severe FI, respectively. Low maternal education, low household monthly income and high levels of stress were significant correlates of FI among college students (P-trend < 0·001). In addition, 22·6 and 34·4 % of students showed severe symptoms of depression and anxiety, respectively. Regression models showed that FI was associated with higher scores on PHQ-9 and GAD-7 (β = 2·45; 95 % CI [1·41, 3·49]) and (β = 1·4; 95 % CI [1·1, 2·2], respectively) and lower scores on WHO-5 (β = -4·84; 95 % CI [-8·2, -1·5]). In conclusion, a remarkable proportion of college students reported experiencing different forms of FI, which was associated with poorer mental health and well-being outcomes. Public health programmes and interventions are needed to mitigate FI and improve student health-related outcomes. Copyright © The Author(s), 2022. Published by Cambridge University Press on behalf of The Nutrition Society.
dc.identifier.doihttps://doi.org/10.1017/jns.2022.68
dc.identifier.eid2-s2.0-85137109295
dc.identifier.pmid36106091
dc.identifier.urihttp://hdl.handle.net/10938/34099
dc.language.isoen
dc.publisherCambridge University Press
dc.relation.ispartofJournal of Nutritional Science
dc.sourceScopus
dc.subjectFood (in)security
dc.subjectKey words college students
dc.subjectLebanon
dc.subjectMental health
dc.subjectWell-being
dc.subjectCross-sectional studies
dc.subjectFood insecurity
dc.subjectFood supply
dc.subjectHumans
dc.subjectStudents
dc.subjectAdult
dc.subjectAnxiety
dc.subjectArticle
dc.subjectClinical assessment
dc.subjectCollege student
dc.subjectComparative study
dc.subjectControlled study
dc.subjectCross-sectional study
dc.subjectDepression
dc.subjectFemale
dc.subjectFood security
dc.subjectGeneralized anxiety disorder-7
dc.subjectHousehold income
dc.subjectHuman
dc.subjectInformation processing
dc.subjectLifestyle
dc.subjectMale
dc.subjectMultiple regression
dc.subjectMultivariate logistic regression analysis
dc.subjectPatient health questionnaire 9
dc.subjectPrevalence
dc.subjectRegression model
dc.subjectSociodemographics
dc.subjectWellbeing
dc.subjectWho-5 well-being index
dc.subjectYoung adult
dc.subjectCatering service
dc.subjectEpidemiology
dc.subjectPsychology
dc.subjectStudent
dc.titleFood insecurity and mental health of college students in Lebanon: A cross-sectional study
dc.typeArticle

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