scholarly journals Reflection on the interactions between social determinants of food insecurity and health problems in an urban context

2016 ◽  
Vol 13 (1) ◽  
pp. 45-53
Author(s):  
Isabel Craveiro ◽  
Daniela Alves
Keyword(s):  
Food Insecurity ◽  
Social Determinants ◽  
Health Problems ◽  
Urban Context

scholarly journals Trajectory of Food Insecurity and Its Association with Longitudinal Mental Health and Sleep Outcomes in Adolescents from Economically Disadvantaged Families

Nutrients ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 1696
Author(s):  
Ting-Hsuan Lee ◽  
Jen-Hao Kuo ◽  
Chia-Yi Liu ◽  
Yi-Fang Yu ◽  
Carol Strong ◽  
...  
Keyword(s):  
Mental Health ◽  
Food Insecurity ◽  
Economically Disadvantaged ◽  
Mental Health Problems ◽  
Transition Period ◽  
Sleep Problems ◽  
Healthcare Providers ◽  
Estimating Equation ◽  
Health Problems ◽  
Disadvantaged Families

Background: Adolescence is a critical transition period in the course of human development. Although food insecurity (FI) has been shown to be associated with adverse mental health and sleep outcomes in US adolescents, there is a paucity of research examining the relationships between FI, mental health, and sleep outcomes in Taiwanese adolescents. Furthermore, it is unknown how the change of FI over time (i.e., the trajectory of FI) is related to health outcomes. Methods: The data come from the Taiwan Database of Children and Youth in Poverty, which is a national longitudinal project measuring FI in five survey waves (2009–2017). We employed group-based trajectory modeling to classify various FI trends over the five waves using STATA. Furthermore, a generalized estimating equation analysis was conducted with FI trajectories as the independent variable to see how FI trajectory is related to mental health and sleep outcomes. Results: In total, 1921 participants aged 12–18 years in the first wave were deemed valid for the analysis. We classified the participants into four FI trajectory groups: persistently low FI (24.8%), persistently moderate FI (64.7%), declining from high to low FI (4.1%), and food-secure groups (6.4%). As compared to food-secure adolescents, the persistently moderate FI group was more likely to have mental problems (β = 0.30, [95% confidence interval 0.21–0.38]), while the other FI groups were only marginally associated with mental health problems. Moreover, adolescents in the persistently low FI group (β = 0.13, [0.02–0.23]) and persistently moderate FI group (β = 0.39, [0.29–0.48]) were found to have more sleep problems than those in the food-secure group. Conclusions: Our study describes the FI profile of adolescents from economically disadvantaged families and the difficulties they might encounter. With this information, healthcare providers can aid adolescents in the early stages of mental health problems and provide guidance when appropriate.

scholarly journals Food insecurity and social determinants of students’ low adherence to the Mediterranean diet

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
T Tsiampalis ◽  
A Petralias ◽  
A Linos
Keyword(s):  
Physical Activity ◽  
Food Insecurity ◽  
Mediterranean Diet ◽  
Social Determinants ◽  
Primary Schools ◽  
Univariate Analysis ◽  
Multivariable Analysis ◽  
School Grade ◽  
Nursery Schools ◽  
The Mediterranean

Abstract Background Despite the fact that the Meditteranean diet is highly beneficiary for people’s health, there are many factors which cause disparities in the level of adherence. The aim of the present work was to investigate the effect of household food insecurity (FI) on adherence to the Mediterranean diet (AMD), to explore the participants’ characteristics modifying the studied relationship and find the social determinants of students’ low adherence to the specific dietary pattern. Methods A cross-sectional study with 140 schools and 4,242 students was conducted in Greece (2017-2018). Especially designed and validated instruments were used to record students’ sociodemographic characteristics, household’s FI status and students’ AMD. Analysis of Variance (ANOVA) and Covariance (ANCOVA) was used to investigate the effect of FI and to identify the significant social determinants of students’ AMD, according to students’ school grade. Results After adjusting for other characteristics, students whose both parents are born in other countries, spend at most 4 hours/week on TV/electronic games, live in the regions of Peloponnese, Central Macedonia or Attica and attend primary schools adhere more to the Mediterranean diet, while higher level of physical activity and lower FI are significantly associated with better AMD. Parents’ educational level in nursery schools (p = 0.002) and employment status in nursery schools (p = 0.012) and in high schools/ lyceums (p = 0.008) were found to modify significantly the studied relationship in the univariate analysis, while school grade (p = 0.013) and physical activity (p = 0.088) were found to modify the studied relationship in the multivariable analysis. Conclusions Several demographic, socioeconomic and lifestyle characteristics were significantly associated with students’ AMD. Thus, emphasis should be given on the design of special programs to reduce household FI and intervene in the rest characteristics. Key messages Researchers and policymakers should consider food insecurity as important risk factor for school-aged children, particularly for those who live in poverty. Emphasis should be given on the design of special low-cost programs aiming to reduce food insecurity.

scholarly journals Structural and Social Determinants of Health Factors Associated with County-Level Variation in Non-Adherence to Antihypertensive Medication Treatment

2020 ◽  
Vol 17 (18) ◽  
pp. 6684
Author(s):  
Macarius M. Donneyong ◽  
Teng-Jen Chang ◽  
John W. Jackson ◽  
Michael A. Langston ◽  
Paul D. Juarez ◽  
...  
Keyword(s):  
Food Insecurity ◽  
Social Determinants Of Health ◽  
Social Determinants ◽  
Antihypertensive Medication ◽  
Social Supports ◽  
Determinants Of Health ◽  
P Value ◽  
County Level ◽  
Medication Treatment ◽  
Factors Associated

Background: Non-adherence to antihypertensive medication treatment (AHM) is a complex health behavior with determinants that extend beyond the individual patient. The structural and social determinants of health (SDH) that predispose populations to ill health and unhealthy behaviors could be potential barriers to long-term adherence to AHM. However, the role of SDH in AHM non-adherence has been understudied. Therefore, we aimed to define and identify the SDH factors associated with non-adherence to AHM and to quantify the variation in county-level non-adherence to AHM explained by these factors. Methods: Two cross-sectional datasets, the Centers for Disease Control and Prevention (CDC) Atlas of Heart Disease and Stroke (2014–2016 cycle) and the 2016 County Health Rankings (CHR), were linked to create an analytic dataset. Contextual SDH variables were extracted from the CDC-CHR linked dataset. County-level prevalence of AHM non-adherence, based on Medicare fee-for-service beneficiaries’ claims data, was extracted from the CDC Atlas dataset. The CDC measured AHM non-adherence as the proportion of days covered (PDC) with AHM during a 365 day period for Medicare Part D beneficiaries and aggregated these measures at the county level. We applied confirmatory factor analysis (CFA) to identify the constructs of social determinants of AHM non-adherence. AHM non-adherence variation and its social determinants were measured with structural equation models. Results: Among 3000 counties in the U.S., the weighted mean prevalence of AHM non-adherence (PDC < 80%) in 2015 was 25.0%, with a standard deviation (SD) of 18.8%. AHM non-adherence was directly associated with poverty/food insecurity (β = 0.31, P-value < 0.001) and weak social supports (β = 0.27, P-value < 0.001), but inversely with healthy built environment (β = −0.10, P-value = 0.02). These three constructs explained one-third (R2 = 30.0%) of the variation in county-level AHM non-adherence. Conclusion: AHM non-adherence varies by geographical location, one-third of which is explained by contextual SDH factors including poverty/food insecurity, weak social supports and healthy built environments.

scholarly journals Adverse Childhood Experiences among Adults in North Carolina, USA: Influences on Risk Factors for Poor Health across the Lifespan and Intergenerational Implications

2020 ◽  
Vol 17 (22) ◽  
pp. 8548
Author(s):  
Adam Hege ◽  
Erin Bouldin ◽  
Manan Roy ◽  
Maggie Bennett ◽  
Peyton Attaway ◽  
...  
Keyword(s):  
Risk Factors ◽  
North Carolina ◽  
Health Risk ◽  
Food Insecurity ◽  
Social Determinants Of Health ◽  
Social Determinants ◽  
Adverse Childhood Experiences ◽  
Health Risk Factors ◽  
Childhood Experiences ◽  
Adverse Childhood

Adverse childhood experiences (ACEs) are a critical determinant and predictor of health across the lifespan. The Appalachian region of the United States, particularly the central and southern portions, experiences worse health outcomes when compared to the rest of the nation. The current research sought to understand the cross-sectional relationships between ACEs, social determinants of health and other health risk factors in one southcentral Appalachian state. Researchers used the 2012 and 2014 North Carolina Behavioral Risk Factor Surveillance System (BRFSS) for analyses. An indicator variable of Appalachian county (n = 29) was used to make comparisons against non-Appalachian counties (n = 71). Analyses further examined the prevalence of ACEs in households with and without children across Appalachian and non-Appalachian regions, and the effects of experiencing four or more ACEs on health risk factors. There were no statistically significant differences between Appalachian and non-Appalachian counties in the prevalence of ACEs. However, compared with adults in households without children, those with children reported a higher percentage of ACEs. Reporting four or more ACEs was associated with higher prevalence of smoking (prevalence ratio [PR] = 1.56), heavy alcohol consumption (PR = 1.69), overweight/obesity (PR = 1.07), frequent mental distress (PR = 2.45), and food insecurity (PR = 1.58) in adjusted models and with fair or poor health only outside Appalachia (PR = 1.65). Residence in an Appalachian county was independently associated with higher prevalence of food insecurity (PR = 1.13). Developing programs and implementing policies aimed at reducing the impact of ACEs could improve social determinants of health, thereby helping to reduce health disparities.

scholarly journals Social determinants, lived experiences, and consequences of household food insecurity among persons living with HIV/AIDS on the shore of Lake Victoria, Kenya

AIDS Care ◽  
2011 ◽  
Vol 24 (6) ◽  
pp. 728-736 ◽  
Author(s):  
Jason M. Nagata ◽  
Richard O. Magerenge ◽  
Sera L. Young ◽  
Joel O. Oguta ◽  
Sheri D. Weiser ◽  
...  
Keyword(s):  
Food Insecurity ◽  
Social Determinants ◽  
Lived Experiences ◽  
Lake Victoria ◽  
Household Food Insecurity ◽  
Household Food ◽  
Persons Living With Hiv ◽  
Living With Hiv ◽  
Hiv Aids

scholarly journals Study of correlation between social determinants on mental health status of adolescent school students of Patna, Bihar, India

2020 ◽  
Vol 7 (7) ◽  
pp. 1561
Author(s):  
Anil Kumar Tiwari ◽  
Anil Kumar Jaiswal
Keyword(s):  
Mental Health ◽  
Social Determinants ◽  
Mental Health Problems ◽  
Well Being ◽  
Health Problems ◽  
School Students ◽  
Cross Sectional ◽  
The Status ◽  
Teachers And Parents ◽  
Mental Well Being

Background: The status of mental well-being is a function of emotional well-being, psychological well-being and social well-being, and includes aspects like cognitive and social skills, emotional capacity, empathy, ability to cope with adverse events, and capability to function within a society. Various studies have found strong correlations between a person’s immediate surroundings to how they perceive their well-being as well as their actual status of mental health. On one hand, social determinants affect the causation, severity and outcome of mental well-being, on the other hand the state of mental well-being affects the social determinants by affecting personal freedom, ability to make healthy life choices etc. This makes the study of social determinants of mental health very significant.Methods: A cross-sectional, exploratory study of qualitative nature was undertaken in Patna among School going students between the ages 13-17. A self-administered peer reviewed questionnaire was used for data collection.Results: Of 400 participants 19% have features of depression and other mental health problems. Females were more affected. Students of low socioeconomic group (41.6%) and of single parent family (40%) were affected.Conclusions: Mental health problems are very common in adolescent school students. Active steps must be taken to increase awareness about depression among teachers and parents. Early intervention can help prevent worsening of depression and its impact on life.

scholarly journals Food access initiatives: An integral piece of the Revere, Massachusetts, COVID-19 response

2021 ◽  
pp. 1-6
Author(s):  
Molly Babbin ◽  
Rachel Zack ◽  
Jean Granick ◽  
Kathleen Betts
Keyword(s):  
Health Care ◽  
Food Insecurity ◽  
Social Determinants Of Health ◽  
Social Determinants ◽  
Food Access ◽  
Community Health Care ◽  
Healthy Foods ◽  
The Social ◽  
The City ◽  
Community Health Care System

Cambridge Health Alliance (CHA) is a community health care system that serves the region north of Boston, including the city of Revere, Massachu­setts. In an effort to confront the root causes of poor health, CHA has engaged in an initiative to address the social determinants of health, including food insecurity, homelessness, and unemployment. In 2017, we learned that 51% of our patients in Revere screened positive for food insecurity. In response, we committed to increasing our patients’ access to healthy foods.

scholarly journals Identification of factors related to food insecurity and the implications for social determinants of health screenings

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ashley R. Banks ◽  
Bethany A. Bell ◽  
David Ngendahimana ◽  
Milen Embaye ◽  
Darcy A. Freedman ◽  
...  
Keyword(s):  
Food Insecurity ◽  
Social Determinants Of Health ◽  
Social Determinants ◽  
Supplemental Nutrition Assistance Program ◽  
Determinants Of Health ◽  
Healthy Foods ◽  
Supplemental Nutrition ◽  
Assistance Program ◽  
And Behaviors ◽  
Nutrition Assistance

Abstract Background Food insecurity and other social determinants of health are increasingly being measured at routine health care visits. Understanding the needs and behaviors of individuals or families who screen positive for food insecurity may inform the types of resources they need. The goal of this research was to identify modifiable characteristics related to endorsement of two food insecurity screener questions to better understand the resources necessary to improve outcomes. Methods Analysis was conducted focusing on cross-sectional survey data collected in 2015–2016 from participants (N = 442) living in urban neighborhoods in Ohio with limited access to grocery stores. Food insecurity was assessed by the endorsement of at least one of two items. These were used to categorize participants into two groups: food insecure(N = 252) or food secure (N = 190). Using logistic regression, we estimated the association between several variables and the food insecure classification. Results Those that used their own car when shopping for food had lower odds of reporting food insecurity, as did those with affirmative attitudes related to the convenience of shopping for and ease of eating healthy foods. As shopping frequency increased, the odds of food insecurity increased. Food insecurity also increased with experience of a significant life event within the past 12 months. There was an 81% increase in the odds of reporting food insecurity among participants who received Supplemental Nutrition Assistance Program benefits compared to those not receiving Supplemental Nutrition Assistance Program benefits. Conclusions Along with referrals to SNAP, clinicians can further address screening-identified food insecurity through provision of transportation supports and linkages to other social services while collaborating on community initiatives to promote convenient and easy access to healthy foods. The needs and behaviors associated with screens indicating food insecurity also have implications for impacting other SDH, and thus, health outcomes.

Household Food Insecurity and Mental Health Problems Among Adolescents: What Do Parents Report?

2016 ◽  
Vol 16 (1) ◽  
pp. 90-96 ◽  
Author(s):  
Elizabeth Poole-Di Salvo ◽  
Ellen J. Silver ◽  
Ruth E.K. Stein
Keyword(s):  
Mental Health ◽  
Food Insecurity ◽  
Mental Health Problems ◽  
Health Problems ◽  
Household Food Insecurity ◽  
Household Food
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