This study was conducted to assess the prevalence and factors associated with Food Insecurity (FI) and further quantify its association with unmet need for health services and health-related outcomes among older adults aged 50 years and above in Ghana. The Ghana Study on Global AGEing and Adult Health was used. Body Mass Index (BMI), depressive episodes, functional difficulties (FD), low Quality of Life (QoL), memory decline, and Unmet Needs of Health Services (UNHS) are the the study outcomes. Ordinary Least Square, and Poisson regression analysis modified with Mahalanobis distance matching within propensity score caliper weights were employed. Stata 16.1 was used to perform analysis and a p-value < 0.05 was deemed significant. The prevalence of FI among older adults aged 50 years or older in Ghana was approximately 28 %(95 %CI = 24.5-31.7) and was strongly associated with lower educational attainment and social support. The prevalence ratio of depression, FD, low QoL and UNHS among older adults who experienced FI were; 3.43(95 %CI = 2.25-5.21), 1.18(95 %CI = 1.12-1.23), 2.01(95 %CI = 1.54-2.62), and 1.46(95 %CI = 1.01-2.11). Memory significantly decreased by 85 percentage points% among food insecure older adults [aβ(95 %CI) = -0.85(-1.62--0.07)]. Older adults with relatively higher educational attainment and social support are less likely to suffer FI and associated limited health and poor social well-being. In the national quest to achieve SDG 2, these health and social determinants of FI among older adults should be considered in the implementation of the national ageing policy to improve the health and well-being of older adults in Ghana.
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http://dx.doi.org/10.1016/j.pmedr.2024.102693 | 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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