1
|
Zimmerman E, Gachigi KK, Rodgers RF, Watkins DJ, Woodbury M, Cordero JF, Alshawabkeh A, Meeker JD, Huerta-Montañez G, Pabon ZR, Hines M, Velez-Vega CM, Camargo CA, Zhu Y, Nozadi SS, Comstock SS, Hockett C, Tarwater PM. Association between Quality of Maternal Prenatal Food Source and Preparation and Breastfeeding Duration in the Environmental Influences on Child Health Outcome (ECHO) Program. Nutrients 2022; 14:4922. [PMID: 36432608 PMCID: PMC9695213 DOI: 10.3390/nu14224922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 11/02/2022] [Accepted: 11/06/2022] [Indexed: 11/22/2022] Open
Abstract
This study examined the relationship between maternal food source and preparation during pregnancy and the duration of breastfeeding among 751 mother-child dyads in the United States. The data collected from the Environmental influences on Child Health Outcomes (ECHO) Program included twelve cohorts of mothers (age ≥ 18) who delivered infant(s). Three categories of maternal food source and preparation including, High, Moderate, or Low Food Source Quality were derived from the mother report. The mean duration of breastfeeding differed strongly across the three categories. The High Food Source Quality group breastfed an average of 41 weeks, while shorter durations were observed for the Moderate (26 weeks) and Low (16 weeks) Food Source Quality groups. Cox proportional hazards models were used to estimate the relative hazard of time to breastfeeding cessation for each participant characteristic. The full model adjusted for clustering/cohort effect for all participant characteristics, while the final model adjusted for the subset of characteristics identified from variable reduction modeling. The hazard of breastfeeding cessation for those in the High Food Source Quality group was 24% less than the Moderate group (RH = 0.76; 95% CI, 0.63-0.92). Pregnant women in the High Food Source Quality group breastfed longer than the Moderate and Low groups. We encourage more detailed studies in the future to examine this relationship longitudinally.
Collapse
Grants
- UG3 OD035509 NIH HHS
- UG3 OD035517 NIH HHS
- UH3 OD023282 NIH HHS
- U2COD023375, U24OD023382, U24OD023319, UH3OD023251, UH3OD023313, UH3OD023328 , UH3OD023289, UH3OD023285, UH3OD023271, UH3OD023253, UH3OD023279, UH3OD023332, UH3OD023305, and UH3OD023286, UH3OD023282, UH3OD023244, UH3OD023275, UH3OD023268, UH3OD023272, U NIH HHS
- UG3 OD023282 NIH HHS
- P30 ES017885 NIEHS NIH HHS
- UH3OD023337, UH3OD023271 NIH HHS
- UH3 OD023251 NIH HHS
- UH3 OD023279 NIH HHS
Collapse
Affiliation(s)
- Emily Zimmerman
- Department of Communication Sciences and Disorders, Northeastern University, 228C Forsyth Building, 360 Huntington Ave, Boston, MA 02115, USA
| | - Kennedy K. Gachigi
- Department of Epidemiology, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Rachel F. Rodgers
- Department of Applied Psychology, Northeastern University, Boston, MA 02115, USA
- Department of Psychiatric Emergency & Acute Care, Lapeyronie Hospital, CHRU Montpellier, 34090 Montpellier, France
| | - Deborah J. Watkins
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
| | - Megan Woodbury
- Department of Communication Sciences and Disorders, Northeastern University, 228C Forsyth Building, 360 Huntington Ave, Boston, MA 02115, USA
| | - José F. Cordero
- Department of Epidemiology and Biostatistics, University of Georgia, Athens, GA 30602, USA
| | - Akram Alshawabkeh
- Department of Civil and Environmental Engineering, Northeastern University, Boston, MA 02115, USA
| | - John D. Meeker
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
| | - Gredia Huerta-Montañez
- Department of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115, USA
| | - Zaira Rosario Pabon
- Department of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115, USA
| | - Morgan Hines
- Department of Communication Sciences and Disorders, Northeastern University, 228C Forsyth Building, 360 Huntington Ave, Boston, MA 02115, USA
| | - Carmen M. Velez-Vega
- Department of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115, USA
- Department of Social Sciences, University of Puerto Rico, Medical Sciences Campus, San Juan, PR 00936, USA
| | - Carlos A. Camargo
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Yeyi Zhu
- Division of Research, Kaiser Permanente Northern California, Oakland, CA 94612, USA
| | - Sara S. Nozadi
- Health Sciences Center, College of Pharmacy, University of New Mexico, Albuquerque, NM 87131, USA
| | - Sarah S. Comstock
- Department of Food Science and Human Nutrition, Michigan State University, East Lansing, MI 48824, USA
| | - Christine Hockett
- Avera Research Institute, Sioux Falls, SD 57108, USA
- Department of Pediatrics, University of South Dakota School of Medicine, Sioux Falls, SD 57105, USA
| | - Patrick M. Tarwater
- Department of Epidemiology and Biostatistics, Texas A&M University, College Station, TX 77843, USA
| | | |
Collapse
|
2
|
Crespo-Bellido M, Takata Y, Jackson J, Grutzmacher S, Smit E. Dietary Quality and Caloric Contribution of the Alternative Food Acquisitions of U.S. Low-income Households: Results from the National Food Acquisition and Purchasing Survey (Foodaps). JOURNAL OF HUNGER & ENVIRONMENTAL NUTRITION 2022. [DOI: 10.1080/19320248.2021.1901170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Affiliation(s)
- Mayra Crespo-Bellido
- Program of Nutrition, School of Biological and Population Health, College of Public Health and Human Sciences, Oregon State University, Corvallis, Oregon, USA
| | - Yumie Takata
- Program of Nutrition, School of Biological and Population Health, College of Public Health and Human Sciences, Oregon State University, Corvallis, Oregon, USA
| | - Jennifer Jackson
- Program of Nutrition, School of Biological and Population Health, College of Public Health and Human Sciences, Oregon State University, Corvallis, Oregon, USA
| | - Stephanie Grutzmacher
- Program of Nutrition, School of Biological and Population Health, College of Public Health and Human Sciences, Oregon State University, Corvallis, Oregon, USA
| | - Ellen Smit
- Program of Nutrition, School of Biological and Population Health, College of Public Health and Human Sciences, Oregon State University, Corvallis, Oregon, USA
| |
Collapse
|
3
|
Daundasekara SS, Schuler BR, Hernandez DC. A latent class analysis to identify socio-economic and health risk profiles among mothers of young children predicting longitudinal risk of food insecurity. PLoS One 2022; 17:e0272614. [PMID: 36001540 PMCID: PMC9401138 DOI: 10.1371/journal.pone.0272614] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Accepted: 07/22/2022] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND The purpose of the current study was to use a social determinants of health (SDOH) framework and latent class analysis (LCA) to identify risk classes among mothers with young children. The risk classes were then used to predict food insecurity severity and stability/change of food insecurity over time. METHOD The secondary data from the Fragile Families and Child Wellbeing Study (n = 2,368; oversampled for non-marital births) was used in this study. Household food insecurity was assessed using the 18-items USDA Food Security Survey. A seventeen-item inventory of educational, economic stability, incarceration (i.e. social context), neighborhood safety (i.e. neighborhood and built environment), health and health care, and substance use behaviors at baseline/Year-1 were included to identify SDOH risk indicators in the LCA. Covariate-adjusted multinomial logistic regression models were used to examine the relation between risk classes at Year-1 and the severity of food insecurity at Year-3 and stability/change of food insecurity between Year-3 and Year -5. RESULTS LCA identified five risk classes: High utility and medical hardship (Class 1), high housing and employment hardship, high substance use, and incarceration (Class 2), high housing and medical hardship, poor health, and health care (Class 3), high employment hardship and low-income (Class 4) and low-risk (Class 5). The Class 1, Class 2 and Class 3 had greater odds of low food security and very low food security at Year-3 compared to Class 4. In addition, compared to Class 4, Class 1, Class 2 and Class 3 had greater odds unstable food insecurity and persistent food insecurity over time. CONCLUSIONS LCA could be used to identify distinctive family system risk profiles predictive of food insecurity. The generated risk profiles could be used by health care providers as an additional tool to identify families in need for resources to ensure household food security.
Collapse
Affiliation(s)
- Sajeevika Saumali Daundasekara
- Department of Research, Cizik School of Nursing, University of Texas Health Science Center, Houston, Texas, United States of America
| | - Brittany R. Schuler
- School of Social Work, Temple University, Philadelphia, Pennsylvania, United States of America
| | - Daphne C. Hernandez
- Department of Research, Cizik School of Nursing, University of Texas Health Science Center, Houston, Texas, United States of America
| |
Collapse
|
4
|
Aggeli C, Patelida M, Grammatikopoulou MG, Matzaridou EA, Berdalli M, Theodoridis X, Gkiouras K, Persynaki A, Tsiroukidou K, Dardavessis T, Tzimos C, Goulis DG, Vassilakou T. Moderators of Food Insecurity and Diet Quality in Pairs of Mothers and Their Children. CHILDREN 2022; 9:children9040472. [PMID: 35455516 PMCID: PMC9031801 DOI: 10.3390/children9040472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/08/2022] [Revised: 03/23/2022] [Accepted: 03/26/2022] [Indexed: 11/16/2022]
Abstract
Research has suggested that maternal diet and characteristics may influence the diet of offspring during childhood. The present cross-sectional study aimed to assess the influence of distinct maternal characteristics and the diet quality of mothers on the prevalence of household food insecurity (FI) and the diet quality of children. A total of 179 mother–child pairs were recruited from two primary schools in the metropolitan area of Thessaloniki. The children were aged between 10 and 12 years old. Diet quality was assessed as the level of adherence to the Mediterranean diet (MD), with the use of the KIDMED for the children and the MedDietScore for the mothers. The household FI and the social and demographic characteristics of the mothers were also recorded, and anthropometric measures of both the mothers and their children were collected. Approximately ¼ (26.3%) of the pairs reported some degree of FI, with a greater prevalence (64.7%) within single-mother families. Moreover, FI affected the level of maternal MD adherence (p = 0.011). On the other hand, FI was decreased in households with a greater maternal educational level (OR: 0.25; 95% CI: 0.10–0.63) and conjugal family status (OR: 0.15; 95% CI: 0.87–0.52). Maternal adherence to the MD was inversely related to the respective adherence of their offspring (OR: 0.93; 95% CI: 0.86–0.997), suggesting that during periods of financial constraints, maternal diet quality is compromised at the expense of affording a better diet for the minors in the family.
Collapse
Affiliation(s)
- Christine Aggeli
- Department of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, GR-56429 Thessaloniki, Greece; (C.A.); (X.T.); (K.G.)
| | - Maria Patelida
- Department of Nutritional Sciences & Dietetics, Faculty of Health Sciences, International Hellenic University, Alexander Campus, GR-57400 Thessaloniki, Greece; (M.P.); (E.-A.M.); (M.B.); (A.P.)
| | - Maria G. Grammatikopoulou
- Department of Nutritional Sciences & Dietetics, Faculty of Health Sciences, International Hellenic University, Alexander Campus, GR-57400 Thessaloniki, Greece; (M.P.); (E.-A.M.); (M.B.); (A.P.)
- Correspondence: (M.G.G.); (T.V.)
| | - Ekaterini-Avrakomi Matzaridou
- Department of Nutritional Sciences & Dietetics, Faculty of Health Sciences, International Hellenic University, Alexander Campus, GR-57400 Thessaloniki, Greece; (M.P.); (E.-A.M.); (M.B.); (A.P.)
| | - Marina Berdalli
- Department of Nutritional Sciences & Dietetics, Faculty of Health Sciences, International Hellenic University, Alexander Campus, GR-57400 Thessaloniki, Greece; (M.P.); (E.-A.M.); (M.B.); (A.P.)
| | - Xenophon Theodoridis
- Department of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, GR-56429 Thessaloniki, Greece; (C.A.); (X.T.); (K.G.)
| | - Konstantinos Gkiouras
- Department of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, GR-56429 Thessaloniki, Greece; (C.A.); (X.T.); (K.G.)
| | - Angeliki Persynaki
- Department of Nutritional Sciences & Dietetics, Faculty of Health Sciences, International Hellenic University, Alexander Campus, GR-57400 Thessaloniki, Greece; (M.P.); (E.-A.M.); (M.B.); (A.P.)
| | - Kyriaki Tsiroukidou
- 3rd Department of Pediatrics, Hippokration General Hospital of Thessaloniki, Aristotle University of Thessaloniki, GR-54124 Thessaloniki, Greece;
| | - Theodore Dardavessis
- Laboratory of Hygiene, Social & Preventive Medicine and Medical Statistics, Faculty of Health Sciences, School of Medicine, Aristotle University of Thessaloniki, GR-56429 Thessaloniki, Greece;
| | - Christos Tzimos
- Northern Greece Statistics Directorate, Hellenic Statistical Authority, 218 Delfon Str., GR-54646 Thessaloniki, Greece;
| | - Dimitrios G. Goulis
- Unit of Reproductive Endocrinology, 1st Department of Obstetrics and Gynecology, Faculty of Health Sciences, Medical School, Aristotle University of Thessaloniki, GR-54124 Thessaloniki, Greece;
| | - Tonia Vassilakou
- Department of Public Health Policy, School of Public Health, University of West Attica, Athens University Campus, GR-11521 Athens, Greece
- Correspondence: (M.G.G.); (T.V.)
| |
Collapse
|
5
|
Ranjit N, Macias S, Hoelscher D. Factors related to poor diet quality in food insecure populations. Transl Behav Med 2021; 10:1297-1305. [PMID: 33421089 PMCID: PMC7796710 DOI: 10.1093/tbm/ibaa028] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
It is well-known that consumption of nutrient-rich foods, especially fruits and vegetables, are low among food insecure populations. While cost is an important reason for these inadequate diets, underlying factors such as poor food purchase and management behaviors, and low levels of psychosocial factors that motivate dietary improvements, may exacerbate food insufficiency among the food-insecure. In this analysis, we examine these underlying factors across food-secure and food-insecure populations in Texas. Data on self-reported food insecurity, dietary practices, behaviors related to food purchase and management, and psychosocial factors related to food were obtained from a survey administered to a convenience sample of SNAP-eligible adults (n = 1,171) ages 18 and older, drawn from multiple low-income areas across the state of Texas in 2018 over two survey rounds. Mixed linear regression models adjusting for zip code as a random effect were used to compare mediators of diet across food-insecure and food-secure participants. Using the binary categories defined by the U.S. Household Food Security Survey Module scale 753 participants (64.3% of the sample collected) were classified as food insecure. Food insecure participants had notably unhealthier diet profiles, with significantly lower (p < .001) frequency and average serving size of fruit and vegetable consumption. They were also less likely to use food labels to make food choices (p < .001), and to cook a meal at home (p = .008). In contrast, differences across food secure and food insecure households in planning meals before going shopping, and making lists were much smaller. Finally, levels of various psychosocial precursors of healthy eating were also lower among food insecure participants, including self-efficacy for healthy eating (p = .014), self-efficacy to plan meals with vegetables (p = .048), and stage of change of fruit and vegetable consumption (p < .001). Overall, eating habits, specific food procurement and preparation practices, and levels of psychosocial precursors of healthy eating are significantly poorer among food insecure populations compared with food-secure low-income participants. Our results point to specific behaviors that can be targeted in educational and skill building interventions seeking to address poor dietary practices among the food insecure.
Collapse
Affiliation(s)
- Nalini Ranjit
- School of Public Health in Austin, The University of Texas Health Science Center at Houston, Austin, TX.,Michael and Susan Dell Center for Healthy Living, Austin, TX
| | - Sarah Macias
- School of Public Health in Austin, The University of Texas Health Science Center at Houston, Austin, TX.,Michael and Susan Dell Center for Healthy Living, Austin, TX
| | - Deanna Hoelscher
- School of Public Health in Austin, The University of Texas Health Science Center at Houston, Austin, TX.,Michael and Susan Dell Center for Healthy Living, Austin, TX
| |
Collapse
|
6
|
Banks AR, Bell BA, Ngendahimana D, Embaye M, Freedman DA, Chisolm DJ. Identification of factors related to food insecurity and the implications for social determinants of health screenings. BMC Public Health 2021; 21:1410. [PMID: 34271906 PMCID: PMC8284017 DOI: 10.1186/s12889-021-11465-6] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Accepted: 07/05/2021] [Indexed: 11/16/2022] Open
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. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-021-11465-6.
Collapse
Affiliation(s)
- Ashley R Banks
- Center for Child Health Equity and Outcomes Research, The Abigail Wexner Research Institute at Nationwide Children's Hospital, 700 Children's Drive, Columbus, OH, 43205, USA.
| | - Bethany A Bell
- School of Education and Human Development, University of Virginia, Charlottesville, VA, USA
| | - David Ngendahimana
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Milen Embaye
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Darcy A Freedman
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Deena J Chisolm
- Center for Child Health Equity and Outcomes Research, The Abigail Wexner Research Institute at Nationwide Children's Hospital, 700 Children's Drive, Columbus, OH, 43205, USA.,Department of Pediatrics, The Ohio State University College of Medicine, Columbus, OH, USA
| |
Collapse
|
7
|
Food security and alternative food acquisition among US low-income households: results from the National Food Acquisition and Purchasing Survey (FoodAPS). Public Health Nutr 2020; 24:787-795. [PMID: 33118898 DOI: 10.1017/s1368980020003791] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
OBJECTIVE To determine the characteristics of US low-income households that use alternative food acquisition strategies and to examine the association between food security and alternative food acquisition. DESIGN Cross-sectional analysis. The ten-item Adult Food Security Survey Module was used to determine food security status. Self-reported data were used to determine food acquisition from community food sources, social networks and household food production. SETTING The National Food Acquisition and Purchasing Survey (FoodAPS), 2012. PARTICIPANTS The sample consisted of 2534 low-income households (≤185 % of the federal poverty line) in the USA. RESULTS Households using alternative food acquisition strategies were more likely to have a primary respondent who was non-Hispanic White, born in the USA, and female, and more likely to live in a rural area, have higher income and own a home than households not using alternative acquisition strategies. Very low food security was positively associated with the use of community food sources (aOR = 2·26 (95 % CI 1·15, 4·46)). There was no association between food security and food acquisition from social networks or household food production. CONCLUSIONS Use of alternative food acquisition strategies varied by specific demographic characteristics among low-income households, suggesting opportunities for outreach and promotion of alternative acquisition strategies in specific subpopulations in the USA. Future research should examine whether quantity and quality of food received from these sources are associated with food security.
Collapse
|
8
|
Caregiver's Self-Confidence in Food Resource Management Is Associated with Lower Risk of Household Food Insecurity among SNAP-Ed-Eligible Head Start Families. Nutrients 2020; 12:nu12082304. [PMID: 32751930 PMCID: PMC7468708 DOI: 10.3390/nu12082304] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 07/24/2020] [Accepted: 07/29/2020] [Indexed: 12/15/2022] Open
Abstract
Food resource management (FRM) behaviors are key components within nutrition education programs designed to help food insecure households maximize their food dollars. However, little is known about the association between FRM self-confidence and financial practices with household food insecurity (HFI) among families with young children. Using a sample of SNAP-Ed-eligible Head Start families, this study examined associations between FRM self-confidence, FRM behaviors and financial practices by HFI. A needs assessment survey was conducted with caregivers of Head Start children (n = 365). HFI was measured using the US Household Food Security Survey Module. Chi-square and logistic regression analyses were conducted to examine if FRM self-confidence, FRM behaviors, and financial practices differed by HFI. Participants with high FRM self-confidence had lower odds of HFI (OR = 0.54, 95%CI: 0.33, 0.87), yet FRM behaviors, financial practices, and HFI were not related after adjusting for covariates. All FRM self-confidence questions significantly differed by HFI, whereas only one of six FRM behaviors and two of three financial practices differed by HFI (all p-values < 0.05). Promoting caregivers' self-confidence in FRM skills within nutrition education programs may be explored as a potential strategy to assist low-income households to stretch their food dollars in an attempt to address HFI.
Collapse
|
9
|
Orr CJ, Chauvenet C, Ozgun H, Pamanes-Duran C, Flower KB. Caregivers' Experiences With Food Insecurity Screening and Impact of Food Insecurity Resources. Clin Pediatr (Phila) 2019; 58:1484-1492. [PMID: 31122058 DOI: 10.1177/0009922819850483] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
We explored caregivers' experiences with food insecurity screening in a primary care setting and the impact of resources provided. English- and Spanish-speaking food insecure caregivers of children aged 1 to 5 years were recruited. In-depth individual semistructured interviews were conducted (n = 17) eliciting caregivers' experiences with food insecurity, clinic screening, and resources provided. Interviews were audio-recorded and transcribed verbatim. Interviews were double-coded and thematic analysis was used to identify themes and subthemes. All caregivers described multiple and repeat experiences with food insecurity. Food insecurity screening was acceptable, but families were not always connected with resources. Caregivers described WIC (Women, Infants, and Children) as the most commonly used program to address food insecurity and infrequently utilized other food insecurity resources. Screening for food insecurity in primary care was generally well accepted by this sample of food insecure caregivers. Future studies are needed to determine how to improve connecting resources with families most in need.
Collapse
Affiliation(s)
- Colin J Orr
- University of North Carolina at Chapel Hill, Chapel Hill NC, USA
| | | | - Holly Ozgun
- University of North Carolina at Chapel Hill, Chapel Hill NC, USA
| | | | - Kori B Flower
- University of North Carolina at Chapel Hill, Chapel Hill NC, USA
| |
Collapse
|
10
|
McArthur LH, Fasczewski KS, Wartinger E, Miller J. Freshmen at a University in Appalachia Experience a Higher Rate of Campus than Family Food Insecurity. J Community Health 2019; 43:969-976. [PMID: 29633107 DOI: 10.1007/s10900-018-0513-1] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Food insecurity means having limited or uncertain access, in socially acceptable ways, to an adequate and safe food supply. Ample evidence has identified college students as vulnerable to this problem, but little research has focused on freshmen. This cross-sectional study examined family and campus food insecurity among freshmen at a university in Appalachia. An online questionnaire contained sociodemographic items and scales that measured food security status, academic progress, coping strategies for accessing food, and social support. T-tests and Chi square analyses compared food insecure and food secure students. Statistical significance was p < .05. Participants were 456 freshmen, 118 males (26%) and 331 females (73%). Family and campus food insecurity were experienced by 32 (7.1%) and 98 (21.5%) of the freshmen, respectively, and 42.5% of those who experienced campus food insecurity believed their food access had worsened since starting college. Family and campus coping strategies, respectively, included stretching food (72.9 vs. 18.4%) and purchasing cheap, processed food (68.8 vs. 16.3%). Food secure students scored significantly higher on self-rated measures of academic progress (p < .01), and greater proportions of food secure students (60.7 vs. 43.9%, p < .01) perceived their eating habits since starting college as "healthy/very healthy," and perceived their health status as "good/excellent" (86.0 vs. 71.4%, p < .01). Students requested assistance with job opportunities (19.4%), affordable meal plans (18.4%), money management (13.3%), and eating healthy (11.2%). Findings suggest that college student food insecurity begins during the freshmen year, and that there is a need for campus and community-based interventions to increase food access among these freshmen and their families.
Collapse
Affiliation(s)
- Laura H McArthur
- Department of Nutrition and Health Care Management, Appalachian State University, Boone, NC, 28608, USA
| | - Kimberly S Fasczewski
- Department of Health and Exercise Science, Appalachian State University, Boone, NC, 28608, USA.
| | - Elaine Wartinger
- Department of Nutrition and Health Care Management, Appalachian State University, Boone, NC, 28608, USA
| | - Jordan Miller
- Department of Nutrition and Health Care Management, Appalachian State University, Boone, NC, 28608, USA
| |
Collapse
|
11
|
Kinsey EW, Oberle M, Dupuis R, Cannuscio CC, Hillier A. Food and financial coping strategies during the monthly Supplemental Nutrition Assistance Program cycle. SSM Popul Health 2019; 7:100393. [PMID: 31016223 PMCID: PMC6468142 DOI: 10.1016/j.ssmph.2019.100393] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Revised: 03/22/2019] [Accepted: 03/25/2019] [Indexed: 11/24/2022] Open
Abstract
One in seven Americans participates in the Supplemental Nutrition Assistance Program (SNAP), making it the largest federally funded food assistance program. SNAP benefits are distributed once per month and both food spending and calorie consumption tend to decrease as time from benefit distribution increases. The monthly SNAP benefit cycle has serious implications for the health and financial stability of low-income families, a growing number of whom rely on SNAP as their sole source of income. Relatively little is known about the specific coping strategies households use to manage the SNAP cycle. The purpose of this study is to provide a critical exploration of the nature and timing of coping strategies for managing the SNAP cycle, including implications these coping mechanisms have for health and financial stability. This paper presents data from a prospective cohort study of mothers (n = 12) receiving SNAP benefits in Philadelphia between 2016 and 17. Both in-depth qualitative and survey methods were used. Participants reported on a variety of coping strategies they used to manage the SNAP cycle, including adjustments to shopping and eating patterns, mental accounting, emotional resilience, and social support. Instrumental social support was particularly vital in the final days of the benefit cycle, as were skipping meals and purchasing less expensive, energy-dense foods. Constant vigilance was required throughout the month to manage financial instability. The coping strategies for managing the SNAP cycle have short-term benefits, such as buffering against hunger and financial instability, however these survival strategies may have negative long-term repercussions for physical and financial health. Coping strategies included adjusting shopping/eating, mental accounting, and social support. SNAP was divided by trip type; first trip for essential food items, later trips for fill-in items. End-of-month diet changes included skipping meals and buying cheaper, more energy-dense foods. Instrumental social support was most critical in final days of the benefit cycle. Constant vigilance was required throughout the month to manage financial instability.
Collapse
Affiliation(s)
- Eliza Whiteman Kinsey
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Megan Oberle
- Division of Endocrinology and Diabetes, Department of Pediatrics, University of Minnesota Medical School, Minneapolis, MN, USA.,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA
| | - Roxanne Dupuis
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Carolyn C Cannuscio
- Department of Family Medicine and Community Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Amy Hillier
- School of Social Policy and Practice, University of Pennsylvania, Philadelphia, PA, USA
| |
Collapse
|
12
|
Poulsen MN, Bailey-Davis L, Pollak J, Hirsch AG, Schwartz BS. Household Food Insecurity and Home Food Availability in Relation to Youth Diet, Body Mass Index, and Adiposity. J Acad Nutr Diet 2019; 119:1666-1675. [PMID: 30858071 DOI: 10.1016/j.jand.2019.01.001] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2018] [Revised: 12/28/2018] [Accepted: 01/02/2019] [Indexed: 01/25/2023]
Abstract
BACKGROUND Food security status is related to food types available in the home, which may shape youth dietary patterns, with implications for obesity. OBJECTIVE Investigate whether household food insecurity and home food availability (HFA) are associated with youth fruit and vegetable (F/V) consumption and anthropometric outcomes. DESIGN Cross-sectional study. Youth and parents completed questionnaires during in-home visits (2013-2014). Research staff obtained anthropometric measures. PARTICIPANTS/SETTING Medical record data for 10- to 15-year-old Pennsylvania youths were used to identify 434 parent-youth dyads, with 408 evaluated after excluding missing data. MAIN OUTCOME MEASURES Parent-reported household food security was assessed with the six-item US Department of Agriculture Food Security Scale (dichotomized as high vs low). Healthy and obesogenic HFA scales assessed parent report of how frequently particular foods were present in the home. Youth self-reported daily average F/V consumption. Anthropometric outcomes included age- and sex-standardized z scores for body mass index (BMIz), waist circumference (WCz), and percent body fat (PBFz). STATISTICAL ANALYSES Associations were evaluated with multivariable linear regression adjusted for youth age, sex, and race or ethnicity, and parent age and income. RESULTS Compared with food secure counterparts, youth from food insecure households had higher mean (beta [standard error]) BMIz (.30 [.15]), WCz (.27 [.12]), and PBFz (.43 [.16]). Food insecure households had lower mean healthy HFA scores (-1.23 [.54]); there was no evidence obesogenic HFA differed between food secure and insecure households. Youth from lower healthy HFA or higher obesogenic HFA households reported fewer mean daily F/V servings (healthy HFA: .08 [.02]; obesogenic HFA: -.06 [.02]). Food security status was not associated with F/V consumption, nor was there evidence HFA modified associations between food insecurity and anthropometric outcomes. CONCLUSIONS Despite an observed association between healthy HFA and youth F/V consumption, this study did not provide evidence that HFA explained associations between food insecurity and youth anthropometric outcomes.
Collapse
|