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1.
Health Promot Pract ; : 15248399231177305, 2023 Jun 04.
Article in English | MEDLINE | ID: mdl-37272068

ABSTRACT

Maternal self-care, including healthy eating, physical activity, and stress management behaviors, is influenced by environmental, social, and individual factors. Plan-Do-Study-Act (PDSA) Cycling is an effective quality improvement process using rapid cycling to refine interventions to fit audience-specific contexts and to address socioecological influences on behavior change. To refine components of the Healthy EnviROnmentS Self-Care intervention, a mindful self-care program for mothers of preschool-aged children in rural communities, PDSA cycles were used to examine: (A) acceptability of content, (B) suitability of implementation strategies, and (C) feasibility of digital supports across three stages of program development. Stage 1 included a group discussion with an expert panel (n = 8). Stage 2 used brief interviews and group discussion with a convenience sample (n = 5). Stage 3 included in-depth interviews with the focal population (n = 6). In-depth interviews were transcribed and analyzed using a directed approach, and data were compiled from group discussion notes and assessed for congruence and analyzed for emergent themes. PDSA cycles relating to content led to the addition of activities to introduce mindfulness and foster social support and the revision of handouts. Implementation strategies were refined with respect to workshop duration, activity order, and meeting type. Digital supports resulted in refinement to the study website and tablet applications. Utilization of PDSA cycles allowed for input from the focus population at every point of intervention design and considered socioecological factors that can influence behavior change.

2.
Child Obes ; 20(2): 141-146, 2024 03.
Article in English | MEDLINE | ID: mdl-36888544

ABSTRACT

Childhood obesity is an ongoing concern in the United States. Higher weight status in early childhood is associated with higher weight status at older ages. The Maternal Obesity Matters (MOMs) Study investigated associations between maternal risk of cardiovascular disease (CVD) and child BMI z-scores (BMIz) among preschool-aged children. This cross-sectional exploratory study included mothers and their 3- to 5-year-old children in Colorado, United States. Maternal nonfasting blood samples, blood pressure, and maternal and child anthropometrics were collected. Maternal CVD risk was assessed on a scale of 0-5 using five health measures. Multivariate regression tested associations between maternal CVD risk and child BMIz. Each 1-point increase in maternal CVD risk was associated with a 0.18 increase in child BMIz, controlling for maternal employment. Intervening upon maternal health may be an important strategy for addressing childhood obesity.


Subject(s)
Cardiovascular Diseases , Pediatric Obesity , Child , Pregnancy , Humans , Child, Preschool , Female , Cardiovascular Diseases/epidemiology , Body Mass Index , Cross-Sectional Studies , Pediatric Obesity/epidemiology , Mothers
3.
Nutrients ; 13(11)2021 Nov 03.
Article in English | MEDLINE | ID: mdl-34836185

ABSTRACT

The home food environment (HFE) is associated with dietary intake; yet measuring HFE quality often requires burdensome collection of detailed inventories. This project evaluated the capacity of the Home Inventory to Describe Eating and Activity, version 2 (Home-IDEA2) to capture HFE quality by measuring the presence or absence of household foods. Validity was tested using a modified application of the Healthy Eating Index-2010 (HEI). Comparative data were drawn from the National Food Acquisition and Purchase Survey (FoodAPS) Food-at-Home Public Use File. HEI scores were calculated for 4202 households in FoodAPS using Home-IDEA2 inventories and full reported inventories. Paired t-tests compared: (1) estimated vs. total edible grams (EEG; TEG); (2) limited vs. all reported foods; and (3) EEG + limited foods vs. TEG + all reported foods. Sensitivity and range of scores were compared. Mean HEI scores for Home-IDEA2 were higher (p < 0.003) than FoodAPS: (1) 51.6 ± 16.1 vs. 49.6 ± 18.1 (food amounts); (2) 53.5 ± 15.8 vs. 49.8 ± 15.4 (food items); (3) 55.5 ± 15.7 vs. 49.8 ± 15.4 (full instrument); differences were small. Scores demonstrated comparable sensitivity and range. The study found that the Home-IDEA2 can capture HFE quality adequately with low data collection burden.


Subject(s)
Diet/standards , Feeding Behavior , Home Environment , Consumer Behavior/statistics & numerical data , Diet/statistics & numerical data , Diet, Healthy/standards , Diet, Healthy/statistics & numerical data , Eating , Food/statistics & numerical data , Food Quality , Humans , Nutritive Value , Surveys and Questionnaires/standards , United States
4.
Nutrients ; 11(2)2019 Feb 12.
Article in English | MEDLINE | ID: mdl-30759760

ABSTRACT

The home food environment (HFE) is an important factor in the development of food preferences and habits in young children, and the availability of foods within the home reflects dietary intake in both adults and children. Therefore, it is important to consider the holistic quality of the HFE. The purpose of this study was to apply the Healthy Eating Index (HEI; a measure of diet quality in conformance to the Dietary Guidelines for Americans) algorithm to the Home-IDEA2, a valid and reliable food inventory checklist, to develop a Home-IDEA2 HEI Score. After an initial score was developed, it was psychometrically tested for content, criterion, and construct validity. Content validity testing resulted in 104 foods being retained. Internal criterion testing demonstrated that 42 foods (40%) changed component scores by >5%; however, no single food changed a total Home-IDEA2 HEI score by >5%. Testing of hypothetical HFEs resulted in a range of scores in the expected directions, establishing sensitivity to varied HFEs. This study resulted in a validated methodology to assess the overall quality of the HFE, thus contributing a novel approach for examining home food environments. Future research can test interventions modifying the HFE quality to improve individual dietary intake.


Subject(s)
Diet, Healthy , Diet/standards , Food Quality , Food/classification , Nutrition Policy , Humans , Nutrition Assessment , Nutritive Value
5.
J Nutr Educ Behav ; 50(7): 687-694, 2018.
Article in English | MEDLINE | ID: mdl-29753634

ABSTRACT

OBJECTIVE: To examine the associations of food insecurity with children's cognitive and behavioral outcomes using quantile regression. DESIGN: Secondary analysis of the Fragile Families and Child Wellbeing Study dataset. PARTICIPANTS: A total of 2,046 children aged 5 years. MAIN OUTCOME MEASURES: Child behavioral outcomes were measured using externalizing (aggressive) and internalizing (emotional) behavior problems. Child cognitive outcomes were measured using the Peabody Vocabulary test and the Woodcock-Johnson letter-word identification test. Food insecurity was measured using the US Department of Agriculture's Food Security Module. ANALYSIS: Unconditional quantile regressions were employed. Statistical significance was set at P ≤ .05. RESULTS: Negative associations between food insecurity and child behavior problems (externalizing and internalizing) were largest for children with the most behavior problems. For Peabody Vocabulary scores, the negative association with food insecurity was statistically significant only for children in the top half of the distribution (≥50th percentile). The analysis found mixed evidence of an association between food insecurity and the Woodcock-Johnson letter-word identification test. These associations were similar for boys and girls. CONCLUSIONS AND IMPLICATIONS: Because children's cognitive skills and behavioral problems have long-lasting implications and effects later in life, reducing the risk of food insecurity might particularly benefit children with greater externalizing and internalizing behavior problems.


Subject(s)
Child Behavior/physiology , Child Development/physiology , Food Supply/statistics & numerical data , Urban Population/statistics & numerical data , Child, Preschool , Humans , Longitudinal Studies , Neuropsychological Tests , Regression Analysis , United States
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