About Eating: An Online Program With Evidence of Increased Food Resource Management Skills for Low-Income Women

2015 ◽  
Vol 47 (3) ◽  
pp. 265-272.e1 ◽  
Author(s):  
Barbara Lohse ◽  
Rhonda Belue ◽  
Stephanie Smith ◽  
Patricia Wamboldt ◽  
Leslie Cunningham-Sabo
2017 ◽  
Vol 49 (7) ◽  
pp. 545-553.e1 ◽  
Author(s):  
Jennifer A. Pooler ◽  
Ruth E. Morgan ◽  
Karen Wong ◽  
Margaret K. Wilkin ◽  
Jonathan L. Blitstein

2014 ◽  
Author(s):  
Karen McCurdy ◽  
Kathleen S. Gorman ◽  
Tiffani Kisler ◽  
Elizabeth Metallinos-Katsaras

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 251-251
Author(s):  
Muzi Na ◽  
Lamis Jomaa ◽  
Sally Eagleton ◽  
Jennifer Savage

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.


2018 ◽  
Vol 50 (6) ◽  
pp. 638-644 ◽  
Author(s):  
Omolola A. Adedokun ◽  
Paula Plonski ◽  
Brooke Jenkins-Howard ◽  
Debra B. Cotterill ◽  
Ann Vail

2020 ◽  
Vol 36 (5) ◽  
pp. 777-786 ◽  
Author(s):  
Julia Waldeyer ◽  
Jens Fleischer ◽  
Joachim Wirth ◽  
Detlev Leutner

Abstract. There is substantial evidence that students in higher education who have sophisticated resource-management skills are more successful in their studies. Nevertheless, research shows that students are often not adequately prepared to use resource-management strategies effectively. It is thus crucial to screen and identify students who are at risk of poor resource management (and consequently, reduced academic achievement) to provide them with appropriate support. For this purpose, we extend the validation of a situational-judgment-based instrument called Resource-Management Inventory (ReMI), which assesses resource-management competency (including knowledge of resource-management strategies and the self-reported ability to use this knowledge in learning situations). We evaluated the ReMI regarding factor structure, measurement invariance, and its impact on academic achievement in different study domains in a sample of German first-year students ( N = 380). The results confirm the five-factor structure that has been found in a previous study and indicate strong measurement invariance. Furthermore, taking cognitive covariates into account, the results confirm that the ReMI can predict students’ grades incrementally. Finally, a multi-group analysis shows that the findings can be generalized across different study domains. Overall, we provide evidence for a valid and efficient instrument for the assessment of resource-management competency in higher education.


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