Supporting family meal frequency: Screening Phase results from the Simply Dinner Study.

Niko Kaciroti, Julie C Lumeng, Chelsea A Robinson, L Alexandra Jeanpierre, Danielle Dalimonte-Merckling, Koi Mitchell, Corby K Martin, Hailey Choi, Laurie A Van Egeren, Tiffany Martoccio, Jean M Kerver, Jessica M Williams, Sheilah Hebert, Erika Garner, Mara Stein, Dawn A Contreras, Mildred A Horodynski, Julie Sturza, Holly E Brophy-Herb

Journal: Appetite 2022;174():106009

PMID: 35337884

Abstract

We aimed to test main, additive, interactive effects, and feasibility of all possible combinations of six intervention components implemented for 8 weeks (Cooking/Serving Resources; Meal Delivery; Ingredient Delivery; Community Kitchen; Nutrition Education; Cooking Demonstrations). Primary outcomes were family meal frequency and preschoolers' dietary quality; secondary outcomes included family meal preparation type, meal preparation barriers, family functioning, and kitchen inventory adequacy. All possible intervention combinations were tested using a randomized factorial trial design in the first phase of a Multiphase Optimization Strategy (MOST). Feasibility was assessed via attendance, delivery logs, and satisfaction. Parent-reported data collection included: socio-demographics, frequency and type of family meals; preschooler dietary intake; perceived barriers to meal planning and preparation; assessment of family functioning; and a kitchen inventory of materials generally needed for meal preparation. Participants (n = 499) were recruited at two Head Start agencies in mid-Michigan with data collection and delivery of some intervention components in participants' homes. Promising intervention bundles were identified by evaluating pre-to post-intervention effect sizes. The combination of Cooking/Serving Resources and Meal Delivery increased family meal frequency (Cohen's d = 0.17), cooking dinner from scratch (d = 0.21), prioritization of family meals (d = 0.23), and kitchen inventory (d = 0.46) and decreased use/consumption of ready-made (d = -0.18) and fast foods (d = -0.23). Effects on diet quality were in the expected direction but effect sizes were negligible. Community Kitchen, Nutrition Education, and Cooking Demonstration showed poor feasibility due to low attendance while Ingredient Delivery was infeasible due to staffing challenges related to its labor intensity. Additionally, although not one of our pre-specified outcomes, Cooking/Serving Resources (RR = 0.74) and Meal Delivery (RR = 0.73) each decreased food insecurity. Cooking/Serving Resources combined with Meal Delivery showed promise as a strategy for increasing family meal frequency.

Copyright © 2022 Elsevier Ltd. All rights reserved.

Address: Department of Epidemiology and Biostatistics, Michigan State University, 909 Wilson Road, East Lansing, MI, 48824, USA. Electronic address: [email protected].; Department of Human Development and Family Studies, Michigan State University, 552 W Circle Drive, East Lansing, MI, 48824, USA. Electronic address: [email protected].; Department of Pediatrics, University of Michigan Medical School, Ann Arbor, MI, USA. Electronic address: [email protected].; College of Nursing, Michigan State University, 1355 Bogue St, East Lansing, MI, 48824, USA. Electronic address: [email protected].; Michigan State University Extension, Michigan State University, East Lansing, MI, 48824, USA. Electronic address: [email protected].; Department of Human Development and Family Studies, Michigan State University, 552 W Circle Drive, East Lansing, MI, 48824, USA. Electronic address: [email protected].; Michigan State University Extension, Michigan State University, East Lansing, MI, 48824, USA. Electronic address: [email protected].; Michigan State University Extension, Michigan State University, East Lansing, MI, 48824, USA. Electronic address: [email protected].; Department of Human Development and Family Studies, Michigan State University, 552 W Circle Drive, East Lansing, MI, 48824, USA. Electronic address: [email protected].; Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA. Electronic address: [email protected].; Department of Human Development and Quantitative Methodology, University of Maryland, College Park, MD, USA. Electronic address: [email protected].; University Outreach and Engagement, Michigan State University, East Lansing, MI, 48824, USA. Electronic address: [email protected].; Department of Human Development and Family Studies, Missouri State University, Springfield, MO, USA. Electronic address: [email protected].; Pennington Biomedical Research Institution, Louisiana State University, Baton Rouge, LA, USA. Electronic address: [email protected].; Department of Human Development and Family Studies, Michigan State University, 552 W Circle Drive, East Lansing, MI, 48824, USA. Electronic address: [email protected].; Department of Human Development and Family Studies, Michigan State University, 552 W Circle Drive, East Lansing, MI, 48824, USA. Electronic address: [email protected].; Department of Pediatrics, University of Michigan Medical School, Ann Arbor, MI, USA. Electronic address: [email protected].; Department of Epidemiology and Biostatistics, Michigan State University, 909 Wilson Road, East Lansing, MI, 48824, USA.; Department of Pediatrics, University of Michigan Medical School, Ann Arbor, MI, USA; Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA. Electronic address: [email protected].
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