scholarly journals Examination of Food Insecurity, Socio-Demographic, Psychosocial, and Physical Factors among Residents in Public Housing

2021 ◽  
Vol 31 (1) ◽  
pp. 159-164
Author(s):  
Lisa M. Quintiliani ◽  
Jessica A. Whiteley ◽  
Jessica Zhu ◽  
Emily K. Quinn ◽  
Jennifer Murillo ◽  
...  
Keyword(s):  
Social Support ◽  
Food Insecurity ◽  
Public Housing ◽  
Perceived Stress ◽  
Low Income ◽  
Physical Symptoms ◽  
Mean Difference ◽  
Physical Factors ◽  
Personal Problems ◽  
Lower Social Support

Objectives: Understanding associations between psychosocial and physical factors among those who experience food insecu­rity could help design effective food insecu­rity programs for improved cardiovascular health among low-income populations. We examined differences in psychosocial and physical factors between those who were food secure compared with food insecure among public housing residents.Methods: Data were from the baseline survey of a randomized controlled trial of a weight management intervention in Boston,  Massachusetts from 2016-2017. Food insecurity and psychosocial and physical factors, including perceived stress, personal problems, social support, and physical symptoms, were measured via interviewer-administered screeners.Results: Mean age of the sample (N=102) was 46.5 years (SD=11.9). The majority were Hispanic (67%), female (88%), with ≤high school degree (62%). Nearly half were food insecure (48%). For psychosocial vari­ables, those who were food insecure had higher ratings of perceived stress (adjusted mean difference 3.39, 95% CI:2.00,4.79), a higher number of personal problems (ad­justed mean difference 1.85, 95% CI: 1.19, 2.51), and lower social support (adjusted mean difference -0.70, 95% CI:-1.30,-0.11) compared with those who were food se­cure. For physical variables, those who were food insecure had higher odds of reporting negative physical symptoms (aOR 4.92, 95% CI:1.84,13.16).Conclusion: Among this sample of public housing residents, food insecurity was as­sociated with higher stress, more personal problems, higher experiences of physical symptoms, and lower social support. Ethn Dis. 2021;31(1):159-164; doi:10.18865/ed.31.1.159

scholarly journals Sleep quality and associated factors during the COVID-19 epidemic among community non-medical anti-epidemic Workers of Wuhan, China

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Guanglin Si ◽  
Yi Xu ◽  
Mengying Li ◽  
Yuting Zhang ◽  
Shuzhen Peng ◽  
...  
Keyword(s):  
Social Support ◽  
Sleep Quality ◽  
Perceived Stress ◽  
Associated Factors ◽  
Perceived Social Support ◽  
Educational Background ◽  
Physical Symptoms ◽  
Poor Sleep ◽  
Poor Sleep Quality

Abstract Background Since the outbreak of Coronavirus Disease 2019 (COVID-19) in December 2019, community non-medical anti-epidemic workers have played an important role in the prevention of COVID-19 in China. The present study aimed to assess sleep quality and its associated factors among community non-medical anti-epidemic workers. Method A survey was conducted using anonymous online questionnaire to collect information from 16 March 2020 to 24 March 2020. A total of 474 participants were included, with a 94.23% completion rate. The questionnaire contained demographic data, physical symptoms, and contact history with COVID-19. The researchers assessed perceived social support by the Multidimensional Scale of Perceived Social Support (MSPSS), assessed perceived stress by the Perceived Stress Scale (PSS), and measured sleep quality by the Pittsburgh Sleep Quality Index (PSQI) questionnaire. Results Among the participants, 46.20% reported poor sleep quality. A binary logistic regression revealed that having educational background of junior college or above, being a member of the police force, having contacted individuals with confirmed or suspected COVID-19 infection, having chronic disease(s), having illness within 2 weeks, and having high or moderate perceived stress were significant factors associated with an increased risk of poor sleep quality. Conclusion Demographic factors, physical symptoms, history of contact with COVID-19, and perceived stress are significantly associated with poor sleep quality of community non-medical anti-epidemic workers. Thus, targeting these factors might be helpful in enhancing sleep quality of community workers.

scholarly journals Mental and physical symptoms associated with lower social support for patients with hepatitis C

2006 ◽  
Vol 12 (29) ◽  
pp. 4665
Author(s):  
Julie A Blasiole ◽  
Laura Shinkunas ◽  
Douglas R LaBrecque ◽  
Robert M Arnold ◽  
Susan L Zickmund
Keyword(s):  
Social Support ◽  
Hepatitis C ◽  
Physical Symptoms ◽  
Lower Social Support

scholarly journals Low-Income, African American, Adolescent Mothers’ Depressive Symptoms, Perceived Stress, and Social Support

2016 ◽  
Vol 25 (7) ◽  
pp. 2306-2314 ◽  
Author(s):  
Christie Campbell-Grossman ◽  
Diane Brage Hudson ◽  
Kevin A. Kupzyk ◽  
Sara E. Brown ◽  
Kathleen M. Hanna ◽  
...  
Keyword(s):  
Social Support ◽  
African American ◽  
Depressive Symptoms ◽  
Perceived Stress ◽  
Adolescent Mothers ◽  
Low Income ◽  
African American Adolescent

scholarly journals Food Resource Management Skills Modify the Associations Between Household Food Insecurity and Child Feeding Practices in SNAP-Ed Eligible Head Start Families

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 251-251
Author(s):  
Muzi Na ◽  
Lamis Jomaa ◽  
Sally Eagleton ◽  
Jennifer Savage
Keyword(s):  
Resource Management ◽  
Head Start ◽  
Food Insecurity ◽  
Perceived Stress ◽  
Low Income ◽  
Food Resource ◽  
Feeding Practices ◽  
Child Feeding ◽  
Assistance Program ◽  
Child Feeding Practices

Abstract Objectives To explore how food security (FS) and food resource management (FRM), strategies to stretch limited food resource dollars, are associated with child feeding practices in low-income preschoolers. Methods In a cross-sectional sample of 364 Head Start households, caregivers completed the 18-item FS module, 6-item FRM behavior subscale, Comprehensive Feeding Practices Questionnaire (e.g., monitoring, restriction, food as reward), and Perceived Stress scale. Households were categorized into four food environment subgroups: FS/good FRM, FS/poor FRM, food insecure/good FRM, and food insecure/poor FRM. Multivariable linear regressions were applied to examine if feeding practices differed across FS-FRM categories, adjusting for demographic and socio-economic covariates that differed significantly by FS-FRM subgroups (race, SNAP participation, parent BMI status). For all models, FS/good FRM was the referent. Lastly, we explored the effect of adding perceived stress to the model. on feeding practices. Results 37% of households were food insecure. The use of parent monitoring, modeling, involvement, and food as reward were significantly different by FS-FRM subgroups (all p-values <0.02). After adjusting for covariates, the FS/poor FRM group used less monitoring (–0.48, 95% CI: –0.71, –0.24), modeling (–0.42, 95CI: –0.66, –0.18), and involvement in feeding (–0.56, 95% CI: –0.80, –0.31). A similar pattern emerged for the food insecure/poor FRM group compared to referent. The use of food as reward was higher in the FS/poor FRM (0.29, 95CI: 0.03, 0.55), food insecure/good FRM (0.39, 95CI: 0.09, 0.70) and food insecure/poor FRM groups (0.33, 95% CI: 0.03, 0.64). These differences observed in feeding practices became insignificant in all but one food insecure subgroup once perceived stress was added to the model. Conclusions Suboptimal child feeding is evident in low-income caregivers with poor FRM skills with or without food insecurity. Promoting FRM skills in addition to addressing FI and stress could potentially synergistically improve child feeding practices in low-income households. Funding Sources This study was funded by USDA's Supplemental Nutrition Assistance Program (SNAP) through the PA Department of Human Services (DHS). This institution is an equal opportunity provider.

Weight-Loss Resilience Among Low-Income Postpartum Women: Association With Health Habits

2019 ◽  
Vol 41 (12) ◽  
pp. 1709-1723 ◽  
Author(s):  
Lorraine O. Walker ◽  
Sookja Kang ◽  
Bobbie S. Sterling
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
Weight Loss ◽  
Perceived Stress ◽  
Low Income ◽  
Group Intervention ◽  
Dietary Habits ◽  
Control Group ◽  
Postpartum Women ◽  
Health Habits

Using a weight resilience framework, health habits of diet and physical activity, social support, and perceived stress were compared in women who lost weight (resilient) and those who did not lose or gained weight (nonresilient) during a weight-loss intervention. Participants were low-income postpartum women participating in a 13-week randomized treatment-control group intervention, with 20 of 50 classified as resilient in losing weight. Measures included the Postpartum Support Scale, the Perceived Stress Scale, and health habit items from the Self Care Inventory. Weight-loss resilient women showed significantly more frequent healthful dietary habits, such as eating a nutritious breakfast, and less frequent unhealthy habits, such as substituting junk food for meals, and less perceived stress than their nonresilient counterparts at both the midpoint and end of the study. Weight-loss resilient women also showed significantly more frequent physical activity habits at the end of the study. No social support differences were found.

scholarly journals Association of Food Insecurity and Lack of Social Support in a Cohort of Inner-city Chronic Kidney Disease (CKD) Patients (P04-065-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Sarah Leventer ◽  
Clara Wilson ◽  
Jonathan Leong ◽  
Matthew Moy ◽  
Jessamine Fazli ◽  
...  
Keyword(s):  
Social Support ◽  
Food Security ◽  
Inner City ◽  
Food Insecurity ◽  
Perceived Stress ◽  
Short Form ◽  
Foreign Born ◽  
Long Term Outcome ◽  
Adequate Food ◽  
History Of

Abstract Objectives We examined the association between social determinants including food insecurity and social support in a minority, ethnic population with CKD. Methods A face-to-face survey was conducted in patients from an inner-city CKD (37), dialysis (23) and transplant clinic (31), including questionnaires to assess social support (MOS survey, scored 1–5, with 1 being poor support), perceived stress (PSS), and food security using the short form food security scale, with a score of 1–4 (very low to adequate). Patients were divided into adequate food security (score of 4) and inadequate food security (score of <4). Nutrition Literacy was assessed via the Newest Vital Signs toolkit (6 questions relating to a standardized food label). There were no differences in response among the clinics so they were analyzed together. Results There were 39 (43%) men and 52 (57%) women with 75 black, 3 white, 3 Hispanic and 11 other. Mean age was 62.6 ± 14.0). 59 (54%) patients were foreign-born(mean time in the US 35.4 ± 16.2 yrs). 45% (36) had history of diabetes, and 84% (74) history of hypertension. Mean BMI was 29.5 ± 6.7. 30 pts (17.6%) scored <4 on the food security scale (FINS). There was no difference between food secure (FS) and FINS as regards age, place of birth, sex, marital status, prevalence of diabetes or hypertension, number of people in the household or SNAP participation. FINS were more likely to report income <$40 K/year (100% vs 62%, P < 0.001), with 83% reporting income <$20 K. They also had lower nutritional literacy (1.35 ± 1.7 vs 2.3 ± 1.8, P = 0.037), greater perceived stress (PSS 12.1 ± 5.7 vs 7.93 ± 7.2, P = 0.01), less social support, both tangible (people to help drive to appointments, prepare meals or do chores) score 3.43 ± 1.41 vs. 4.33 ± 1.0, P = 0.003, and emotional (someone to talk to, to give advice, that you trust, who understands your problems) score 3.55 ± 1.19 vs 4.23 ± 0.96, P = 0.02. Conclusions In our population: 1. Patients with inadequate food security were more likely to report extreme poverty and had lower nutritional literacy. 2. Patients with inadequate food security were more likely to report inadequate social support, both emotionally and tangibly, and greater perceived stress. 3. In this population with a high disease burden, the combination of food insecurity, perceived stress and poor social support may affect long-term outcome and should be investigated further. Funding Sources none.

scholarly journals The relationship between income and food insecurity among Oregon residents: does social support matter?

2009 ◽  
Vol 12 (11) ◽  
pp. 2104-2112 ◽  
Author(s):  
Molly De Marco ◽  
Sheryl Thorburn
Keyword(s):  
Social Support ◽  
Social Network ◽  
Food Insecurity ◽  
Low Income ◽  
Negative Impact ◽  
Mail Survey ◽  
Support Functions ◽  
Hierarchical Logistic Regression ◽  
Confounding Variables ◽  
The Relationship

AbstractObjectiveMillions of US households experienced food insecurity in 2005. Research indicates that low wages and little social support contribute to food insecurity. The present study aimed to examine whether social support moderates the relationship between income and food insecurity.DesignUsing a mail survey, we collected data on social support sources (social network, intimate partner and community) and social support functions from a social network (instrumental, informational and emotional). We used hierarchical logistic regression to examine the potential moderation of various measures of social support on the relationship between income and food insecurity, adjusting for potential confounding variables.SettingOregon, USA.SubjectsA stratified random sample of Oregonians aged 18–64 years (n 343).ResultsWe found no evidence of an association between social support and food insecurity, nor any evidence that social support acts as a moderator between income and food insecurity, regardless of the measure of social support used.ConclusionsAlthough previous research suggested that social support could offset the negative impact of low income on food security, our study did not find support for such an effect.

scholarly journals Mental and physical symptoms associated with lower social support for patients with hepatitis C

2006 ◽  
Vol 12 (29) ◽  
pp. 4665 ◽  
Author(s):  
Julie A Blasiole ◽  
Laura Shinkunas ◽  
Douglas R LaBrecque ◽  
Robert M Arnold ◽  
Susan L Zickmund
Keyword(s):  
Social Support ◽  
Hepatitis C ◽  
Physical Symptoms ◽  
Lower Social Support

scholarly journals Pathways between food insecurity and glycaemic control in individuals with type 2 diabetes

2018 ◽  
Vol 21 (17) ◽  
pp. 3237-3244 ◽  
Author(s):  
Rebekah J Walker ◽  
Joni Strom Williams ◽  
Leonard E Egede
Keyword(s):  
Social Support ◽  
Type 2 Diabetes ◽  
Glycaemic Control ◽  
Food Insecurity ◽  
Direct Effect ◽  
Perceived Stress ◽  
Structural Equation ◽  
Self Care ◽  
Indirect Pathway

AbstractObjectiveFood insecurity is reported in approximately 28 % of individuals with diabetes in the USA and is associated with poor glycaemic and lipid control. The present study aimed to understand the direct and indirect pathways through which food insecurity impacts glycaemic control in individuals with diabetes.Design/Setting/SubjectsAdults (n 615) with type 2 diabetes completed validated questionnaires after recruitment from two primary care clinics. Structural equation modelling was used to investigate mechanisms through which food insecurity influences diabetes self-care behaviours and glycaemic control, including investigation into possible direct and indirect effects of perceived stress and social support.ResultsThe final model showed that higher food insecurity was directly significantly related to increased stress (r=0·14, P<0·001) and increased glycosylated Hb (r=0·66, P=0·03). Higher stress was significantly related to poorer self-care (r=−0·54, P<0·001) and lower social support (r=−0·41, P<0·001). There was no significant direct association between food insecurity and self-care, or between perceived stress and glycaemic control.ConclusionsFood insecurity had both a direct effect on glycaemic control and an indirect effect on self-care through stress. The indirect pathway suggests that efforts to address stress may influence the ability of individuals to perform diabetes self-care behaviours. The direct effect on glycaemic control suggests that pathways independent of self-care behaviours may also be necessary to improve diabetes outcomes. Results from the study suggest a multipronged approach is necessary to address food insecurity in individuals with diabetes.

scholarly journals Food Insecurity Prevalence and Correlates in a Diverse Urban College Student Population (P04-054-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Sunitha Jasti ◽  
Melissa Owens
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
Perceived Stress ◽  
Low Income ◽  
Vegetable Consumption ◽  
Fruit And Vegetable Consumption ◽  
Security Level ◽  
Fruit And Vegetable ◽  
Department Of Agriculture ◽  
Commuter College

Abstract Objectives To estimate the prevalence of food insecurity and to examine its correlates among students at an urban commuter-college. Methods Cross-sectional survey of 450 students enrolled at an urban commuter-college. Chi-square test was used to assess differences in socio-demographics characteristics, overweight/obesity status, fruit and vegetable consumption and perceived stress by food security level. Results Among students surveyed, 25.6% were food insecure with 12.2% having low food security and 13.3% having very low food security. The rate of food insecurity was significantly higher in black (55.6%) and Hispanic (52.7%) students compared to white (17.7%) and Asian (28.2%) students (P < 0.01). Older students (25–40 y) were also more likely to be food insecure than younger (≤ 25 y) students (42.5% vs. 28.1%; P = 0.02). There were no significant differences in fruit and vegetable consumption, overweight/obese status or perceived stress among food secure and food insecure students. Conclusions Food insecurity was found to be a prevalent problem in this sample, particularly in older, Black and Hispanic students. Colleges and universities must provide options and resources for low-income students to help increase access to and affordability of nutritious foods. Funding Sources “This material is based upon work that is supported by the National Institute of Food and Agriculture, U.S. Department of Agriculture, under award number ____________. Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the view of the U.S. Department of Agriculture.”

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