scholarly journals Food Insecurity Among Older Urban Subsidized Housing Residents: The Importance of Social Connectedness

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 136-136
Author(s):  
Judith Gonyea ◽  
Arden O'Donnell ◽  
Alexaandra Curley
Keyword(s):  
Food Insecurity ◽  
Social Connectedness ◽  
Later Life ◽  
Social Determinant ◽  
Subsidized Housing ◽  
Household Food Security ◽  
Social Risk ◽  
Social Risk Factors ◽  
Logistic Regression Models ◽  
Social Determinant Of Health

Abstract Poverty and food insecurity are associated with poor health in later life. Although housing is recognized as a social determinant of health; relatively little research has explored food insecurity in the marginalized population of older subsidized housing residents. In this study, we examined factors associated with food insecurity and particularly how social connectedness was associated with food insecurity. We hypothesized that social connection measures (i.e., loneliness, sense of belonging) independent of sociodemographic, health and food program variables would contribute to food insecurity. Our data are from interviews with 216 residents ages 55-plus (50% Black, 45% LatinX). The 6-item USDA Household Food Security Survey found high rates of food insecurity, 40% for ages 55-69 and 20% for ages 70-plus. Multivariate logistic regression models revealed that loneliness was significantly related to food insecurity even after other factors were controlled. Discussion centers on strategies for addressing social risk factors to ameliorate food insecurity.

Hunger: A Missed Opportunity for Screening in the Pediatric Emergency Department

2018 ◽  
Vol 57 (11) ◽  
pp. 1318-1325 ◽  
Author(s):  
Tamar Robinson ◽  
Leah Bryan ◽  
Veda Johnson ◽  
Terri McFadden ◽  
Sarah Lazarus ◽  
...  
Keyword(s):  
Risk Factors ◽  
Primary Care ◽  
Emergency Department ◽  
Food Insecurity ◽  
Hospital Staff ◽  
Social Needs ◽  
Social Risk ◽  
Care Hospital ◽  
Social Risk Factors ◽  
Primary Care Hospital

Background. The American Academy of Pediatrics and pediatric community recognize the importance of addressing social determinants of health. There are limited data on the prevalence of food insecurity or literature establishing protocols assessing food insecurity in the emergency department (ED). Methods. Two anonymous surveys were administered, one to families during their ED visit and another to ED staff to assess perceptions on the ED’s role in providing social support. Results. Thirty-three of 214 respondents (15.4%) reported food insecurity and are associated with economic risk factors ( P < .0001) and a lack of primary care ( P = .008). Overall, 83.2% of the ED staff believed knowing information about families’ social risk factors would help patient care and 77.6% believed that the ED staff should address families’ social needs. Conclusions. Food insecurity affects a significant portion of ED families across income ranges. Screening for food insecurity in the ED is important given association with lack of primary care. Hospital staff supports screening and intervention.

scholarly journals An evidence-based strategy to achieve equivalency and interoperability for social-behavioral determinants of health assessment, storage, exchange, and use

2019 ◽  
Vol 26 (2) ◽  
pp. 1477-1488
Author(s):  
Ruth E Wetta ◽  
Roberta D Severin ◽  
Heidi Gruhler
Keyword(s):  
Point Of Care ◽  
Healthcare Delivery ◽  
Secondary Analysis ◽  
Health Data ◽  
Social Determinant ◽  
Social Needs ◽  
Determinants Of Health ◽  
Social Risk ◽  
Social Risk Factors ◽  
Behavioral Determinants

The interoperable exchange of social-behavioral determinants of health data is challenging due to complex factors including multiple recommendations, multiple tools with varying domains, scoring, and cutpoints, and lack of terminology code sets for storing assessments and findings. This article describes a strategy that permits scoring by social-behavioral determinants of health domain to create interoperability and equivalency across tools, settings, and populations. The three-tier scoring strategy converts social-behavioral determinants of health data to (1) be used immediately at point of care by identifying social needs or social risk factors, (2) be consumed within analytics and algorithms and for secondary analysis, and (3) produce total scores that reflect social determinant burden and behavioral determinant burden across populations and settings within a healthcare system. The strategy supports the six uses recommended by the National Academy of Medicine, provides flexibility in choice of social-behavioral determinants of health tool, and leverages the power of social-behavioral determinants of health data in healthcare delivery.

scholarly journals Modeling Exposure to Multiple Childhood Social Risk Factors and Physical Capability and Common Affective Symptoms in Later Life

2016 ◽  
Vol 30 (3) ◽  
pp. 386-407 ◽  
Author(s):  
Rishi Caleyachetty ◽  
Rebecca Hardy ◽  
Rachel Cooper ◽  
Marcus Richards ◽  
Laura D. Howe ◽  
...  
Keyword(s):  
Risk Factors ◽  
Factor Analysis ◽  
Risk Factor ◽  
Cumulative Risk ◽  
Later Life ◽  
Social Risk ◽  
Social Risk Factors ◽  
Physical Capability ◽  
Affective Symptoms ◽  
Risk Approach

Objective: This study presents three approaches, that is, cumulative risk, factor analysis, and latent class analysis, to summarize exposure to multiple childhood social risk factors and to compare their utility when examining associations with physical capability and common affective symptoms in adults aged 60 to 64 years. Methods: Data came from the U.K. Medical Research Council (MRC) National Survey of Health and Development, with prospective childhood social risk factor data collected in 1950 to 1957 and retrospectively in 1989. Physical capability and common affective symptom data were collected in 2006 to 2011. Results: The cumulative risk approach and factor analysis provided evidence that children who were exposed to multiple social risk factors had lower levels of physical capability and more symptoms of common affective symptoms in later life. Discussion: The cumulative social risk approach and the use of factor analysis to identify contexts of social risk, may offer viable methods for linking multiple childhood social risk exposure to aging outcomes.

Food insecurity, gestational weight gain and gestational diabetes in the National Children’s Study, 2009–2014

2020 ◽  
Author(s):  
Megan Richards ◽  
Margaret Weigel ◽  
Ming Li ◽  
Molly Rosenberg ◽  
Christina Ludema
Keyword(s):  
Weight Gain ◽  
Gestational Diabetes ◽  
Food Insecurity ◽  
Gestational Weight Gain ◽  
Joint Effect ◽  
Household Food Security ◽  
Logistic Regression Models ◽  
Gestational Weight ◽  
Household Food ◽  
The Usa

Abstract Background Household food insecurity (HFI) and gestational diabetes mellitus (GDM) are both common during pregnancy, yet it is unknown if these two factors are related. We aimed to determine the independent and joint associations between HFI, gestational weight gain (GWG) and GDM among pregnant women in the USA. Methods We used data from 592 women in the National Children’s Study, Initial Vanguard Study from 2009 to 2014. HFI was assessed using the Household Food Security Survey Module at the first study visit; GDM was assessed through questionnaires and medical chart review. Logistic regression models were used to investigate the exposures of HFI, GWG and their joint effect on GDM. Results Among participants, 20.1% were marginally food secure or food insecure and 7.4% were diagnosed with GDM. The elevated unadjusted association between HFI and GDM was attenuated after adjustment (aOR: 1.12; 95%CI: 0.47, 2.66). There was an elevated risk of GDM associated with inadequate GWG, (aOR: 2.42; 95%CI: 0.97, 6.00), but results were imprecise. There were no statistically significant associations in the joint exposure analysis. Conclusion The relationship between HFI and GDM is mostly explained by other covariates, but there is some evidence that inadequate GWG is a possible risk factor for GDM.

scholarly journals Individual and household influences on food security and dietary diversity in seven Dominican batey communities

2018 ◽  
Vol 11 (4) ◽  
pp. 272-282 ◽  
Author(s):  
Conor M McWade ◽  
Sheau-Chiann Chen ◽  
Fei Ye ◽  
Douglas C Heimburger ◽  
Troy D Moon ◽  
...  
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
Dietary Diversity ◽  
Poverty Line ◽  
Household Food Security ◽  
Food Groups ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Household Food ◽  
Multivariable Analyses

Abstract Background To identify individual and household characteristics associated with food security and dietary diversity in seven Haitian–Dominican bateyes. Methods A cross-sectional sample of 667 households were surveyed. Novel household food security scores were calculated from components of the Household Food Insecurity Assessment Scale, while the Food and Agricultural Organization’s Household Dietary Diversity Score was utilized to calculate individual dietary diversity scores. Multivariable analyses were performed using ordinal logistic regression models to estimate the association between these scores and the covariate variables. Secondary dietary diversity analyses were performed after removing non-nutritious food groups. Results Food security was significantly associated with being above the poverty line (OR 3.14, 95% CI 1.92 to 5.14), living in a rural batey (OR 1.44, 95% CI 1.02 to 2.03), receiving gifts and/or donations (OR 1.76, 95% CI 1.03 to 3.00) and having a salaried job (i.e., not being paid hourly; OR 1.67, 95% CI 1.05 to 2.64). Dietary diversity was significantly associated with living in a semi-urban batey (OR 1.70, 95% CI 1.26 to 2.30), living with a partner (OR 1.47, 95% CI 1.08 to 2.00), growing at least some of one’s own food (OR 1.62, 95% CI 1.17 to 2.23), and receiving gifts and/or donations (OR 1.72, 95% CI 1.08 to 2.73). Conclusions Food insecurity and low dietary diversity are highly prevalent in Haitian–Dominican bateyes. The inclusion of sweets and non-milk beverages in dietary diversity calculations appear to skew scores towards higher levels of diversity, despite limited nutritional gains.

scholarly journals Nutritionism and the construction of ‘poor choices’ in families facing food insecurity

2016 ◽  
Vol 23 (14) ◽  
pp. 1863-1871 ◽  
Author(s):  
Rebekah Graham ◽  
Ottilie Stolte ◽  
Darrin Hodgetts ◽  
Kerry Chamberlain
Keyword(s):  
Food Insecurity ◽  
Social Determinant ◽  
Power Dynamics ◽  
Research Approach ◽  
Economic Issues ◽  
Alternative Approach ◽  
The Everyday ◽  
Everyday Experiences ◽  
Social Determinant Of Health

The dominant research approach to both food insecurity and charitable meal provision is nutritionistic, deficit-orientated and ignores wider socio-economic issues. This reinforces existing power dynamics and overlooks the agency of people living food-insecure lives. We critique this dominant approach and draw on the everyday experiences of families facing food insecurity to ground an alternative approach that emphasises food as a social determinant of health.

Loneliness and Depression Among Older Adults in Urban Subsidized Housing

2016 ◽  
Vol 30 (3) ◽  
pp. 458-474 ◽  
Author(s):  
Judith G. Gonyea ◽  
Alexandra Curley ◽  
Kelly Melekis ◽  
Nina Levine ◽  
Yeonjung Lee
Keyword(s):  
Older Adults ◽  
Low Income ◽  
Target Population ◽  
Subsidized Housing ◽  
Hierarchical Regression ◽  
Minority Populations ◽  
Social Risk ◽  
Social Risk Factors ◽  
Care Models

Objective: Depression is particularly prevalent in low-income and disabled older adults, and minority populations face a greater risk of poverty and earlier disability onset. Yet, little is known about the mental health of older subsidized housing residents, a population which is disproportionately composed of persons of color. The study’s aim was therefore to explore the prevalence and correlates of depression in this target population, with a particular focus on the role of loneliness. Method: Data are from interviews with 216 older subsidized housing residents, of which 50% identified as Black and 45% self-identified as Latino. Results: About 26% of participants met the criterion for depression. The hierarchical regression supported our hypothesis; after controlling for demographic, health, and stress variables, loneliness explained almost half of the total 49% of variance in depression. Discussion: Care models addressing social risk factors are needed to meet the aging-in-place challenges of subsidized housing residents.

scholarly journals Gender Difference in Social Capital, Common Mental Disorders and Depression: ELSA-Brasil Study

Psych ◽  
2020 ◽  
Vol 2 (1) ◽  
pp. 85-96
Author(s):  
Ester Paiva Souto ◽  
Arlinda B. Moreno ◽  
Dóra Chor ◽  
Enirtes Caetano Prates Melo ◽  
Sandhi M. Barreto ◽  
...  
Keyword(s):  
Mental Health ◽  
Social Capital ◽  
Mental Disorders ◽  
Common Mental Disorders ◽  
Association Studies ◽  
Social Risk ◽  
Adult Health ◽  
Social Risk Factors ◽  
Logistic Regression Models ◽  
High Level

Association studies between social capital and health point out that a high level of social capital can act as a protector for mental health. The growing interest in social risk factors for mental health coincides with the development of social capital research. Higher levels of social capital available through social networks can act as a protector for mental health. This study investigates gender differences in the association between social capital and common mental disorders (CMD) and depression. We analyzed 15,052 participants in the baseline of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). CMD and depression were assessed by Clinical Interview Schedule-Revised (CIS-R) and social capital by the Resource Generator scale. We used Logistic regression models stratified by sex. Women with lower social capital in the social support dimension had a greater chance of presenting CMD (OR = 1.36; CI 95%: 1.16–1.60) and depression (OR = 2.07; CI 95%: 1.57–2.72) when compared to women with higher social capital. No association was identified among men, or among women in the “prestige and education” dimension. The differences found between the dimensions of social capital support its multidimensionality, as well as the differences found between sexes, confirm the need to approach gender in its association with mental health.

scholarly journals Child-Reported Food Insecurity Is Negatively Associated with Household Food Security, Socioeconomic Status, Diet Diversity, and School Performance among Children Attending UN Relief and Works Agency for Palestine Refugees Schools in Lebanon

2019 ◽  
Vol 149 (12) ◽  
pp. 2228-2235 ◽  
Author(s):  
Zeina Jamaluddine ◽  
Nadine R Sahyoun ◽  
Jowel Choufani ◽  
AnnieBelle J Sassine ◽  
Hala Ghattas
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
Internal Validity ◽  
Household Food Security ◽  
Healthy Children ◽  
Diet Diversity ◽  
Logistic Regression Models ◽  
Household Food ◽  
Academic Grades ◽  
Item Scale

ABSTRACT Background Recent studies have shown that children are able to accurately describe their own experiences of food insecurity; however, few studies have quantified this experience. Objectives We aimed to develop and validate a child food security scale to be used in Arabic-speaking countries. Methods As part of the Healthy Kitchens Healthy Children study on food security and nutrition in schools, 14 questions were administered to 5–15-y-old children (n = 1433) attending 4 UN Relief and Works Agency for Palestine refugees schools. We used statistical methods based on Item Response Theory to assess the internal validity of a proposed food security scale using these items. Further validation of the scale was conducted by examining associations with sociodemographic, economic, household food security, and diet diversity variables through logistic regression models adjusted for age, sex, and school of the children. Results A total of 1287 children (89.8%) provided complete responses to the questionnaire. Four items were dropped from the scale because of high infit statistics (>1.3) and high residual correlation with other items. The resulting 10-item scale had acceptable reliability (Cronbach α coefficient = 0.89). Children who reported food insecurity were more likely to be from food-insecure households (OR: 2.3; P < 0.001). Food-insecure children came from households with lower expenditures per capita (OR: 0.80; P = 0.007) and higher household crowding (OR: 1.70; P = 0.001), and had less educated mothers (OR: 0.89; P = 0.009), lower household diet diversity (OR: 0.85; P < 0.001), and lower household consumption of meat (OR: 0.89; P < 0.001) and fruit (OR: 0.95; P = 0.001). Child food insecurity was also associated with higher school absenteeism (OR: 1.64; P = 0.01) and lower academic grades in languages and science (P < 0.05). Conclusions Child food security was accurately measured through a 10-item scale. This tool is appropriate to assess child food insecurity experience directly with children, and can be used in school-based interventions, where obtaining data from parents may be cumbersome.

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