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New Ulm at HOME (Healthy Offerings Via the Mealtime Environment), NU-HOME

New Ulm at HOME (Healthy Offerings Via the Mealtime Environment), NU-HOME

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT02973815
Acronym
NU-HOME
Enrollment
228
Registered
2016-11-25
Start date
2016-03-31
Completion date
2022-08-31
Last updated
2022-10-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Food Intake, Obesity, Childhood, Physical Activity, Rural Health

Keywords

family meals, home food availability

Brief summary

The goal of the proposed project is to see if an innovative family-based intervention can reduce childhood obesity by actively engaging the whole family in promoting healthy behaviors in the home. In addition, the project will also examine how the NU-HOME family intervention influences children's dietary intake, availability of healthy and unhealthy foods in the home and served at meals and snacks, physical activity as a family, and child screen time (TV, game systems). The study will build upon a similar project conducted in an urban area and translate the lessons learned and adapt the program for a rural community.

Detailed description

Childhood obesity is a serious public health problem. Although previous environmental approaches to obesity prevention show some promise, most studies have not shown excess weight gain reductions. Moreover, few childhood obesity prevention studies significantly engage parents or focus on the home environment, which is essential to promote healthy behaviors at home. Children in rural communities are particularly vulnerable regarding increased risk for obesity; thus, successful programs that engage families in rural communities to prevent excess weight gain are critical. The proposed research project, New Ulm at Home (NU-HOME), is a unique collaboration between leaders in a rural community (New Ulm, Minnesota) and successful academic obesity researchers. The residents of New Ulm are poised for and are requesting interventions to promote healthful behavior change, particularly for youth. In conjunction with our many community stakeholder groups, the objective of the proposed research is to test the effectiveness of the NU-HOME program, a 7-month, family-based health promotion intervention to prevent excess weight gain (assessed via BMI z-score) among 7-10 year old children (n=114) in the New Ulm rural community. The intervention program is based on Social Cognitive Theory and a socio-ecological framework and will focus on novel health promotion components to prevent childhood obesity, including: 1) promoting regular meals in which family members cook and eat together (i.e., family meals), 2) promoting nutritionally-sound and appropriately-portioned snacks and meals, 3) reducing sedentary behavior, particularly screen time in the home setting, and 4) promoting physical activity through collaboration with community partners. The NU-HOME study is designed in four stages, including substantial formative work between the academic and community partners, a two-arm randomized controlled trial (RCT; intervention and wait-list control), and two activities to facilitate sustainability (delayed intervention delivery for control group participants and dissemination). A community-based participatory research (CBPR) approach will be used to adapt an existing program, HOME Plus that was piloted and shown to be effective in urban communities. The NU-HOME program has high translation potential and is likely to be immediately useful to rural families of school-age children because it will be tested in a real-world setting in collaboration with engaged, knowledgeable and influential community partners.

Interventions

BEHAVIORALNU-HOME Intervention

The NU-HOME family intervention program consists of seven monthly group sessions, individual goal setting calls and online materials to support the sessions. The intervention focuses on promoting healthful family meals where parents and children cook and eat together, healthful home food and physical activity environments, and being active together as a family.

Sponsors

Allina Health System
CollaboratorOTHER
Minneapolis Heart Institute Foundation
CollaboratorOTHER
National Heart, Lung, and Blood Institute (NHLBI)
CollaboratorNIH
University of Minnesota
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
PREVENTION
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
7 Years to 99 Years
Healthy volunteers
Yes

Inclusion criteria

* child between the ages of 7-10 who lives with the target adult at least 50% of the time * parent/guardian must be the primary-meal preparing parent/guardian

Exclusion criteria

* planning to move out of the area in the next 6 months * medical condition that would prevent family from participating in group sessions

Design outcomes

Primary

MeasureTime frameDescription
Change in Child Body Mass Index (BMI) Z-scorePost intervention (9 months after baseline)Trained study staff will measure weight and height to calculate body mass index (BMI) then adjust for the child's age and sex to get BMI percentiles and z-scores. A Z-score of 0 represents the population mean with a z-score above zero indicating BMI above the population mean and a negative z-score indicating values below the population mean.

Secondary

MeasureTime frameDescription
Change in Home Availability of VegetablesPost Intervention (9 months after baseline)Participants will report the number of vegetables available in their home using the Home Food Inventory.
Change in the Quality of Food and Beverages Served at Family MealsPost intervention (9 months after baseline)Participants will report details of food offerings at 7 days of evening meals using the Evening Meal Screener and the quality will be assessed by using a healthfulness score that combines multiple aspects of the meal into a single score. We created the Healthfulness of the Evening Meal Scale which has a range of (-4 to 11) where higher values represent a better outcome.
Change in Dietary Intake of VegetablesPost intervention (9 months after baseline)Child dietary intake will be assessed using mean number of servings of vegetables from two 24-hour dietary recalls
Change in Home Availability of FruitsPost intervention (9 months after baseline)Participants will report the number of fruits available in their home using the Home Food Inventory.
Change in Minutes of Child Moderate to Vigorous Physical ActivityPost intervention (9 months after baseline)Children will wear an accelerometer (ActiGraph wGT3X-BT and GT3XP-BTLE models) for 7 days to measure their activity levels (e.g., minutes of Moderate-to-vigorous physical activity). Trained research staff distributed the monitors to child participants who wore the monitors on their right hip for 7 consecutive days during most waking hours, except when sleeping or doing water-related activities. Data were collected in 10-second epochs. Accelerometer data were analyzed with ActiLife software (version 6.9.1). Non-wear time was defined as any period of \>60 minutes of consecutive zeros. To be included in the analyses, participants had to have a minimum of \>8 hours of wear time on \>3 days. Evenson cutpoints for children were used to classify physical activity intensites: sedentary (0-100), light (101-2295), moderate (2296-4011), and vigorous (\>4012). Minutes engaged in Moderate to Vigorous Physical activity was analyzed.
Change in Child Screen Time UsePost intervention (9 months after baseline)Parents will report on child's daily minutes of screen time.
Change in Child Dietary Intake of FruitPost intervention (9 months after baseline)Child dietary intake will be assessed using mean number of servings of fruit from two 24-hour dietary recalls

Countries

United States

Participant flow

Recruitment details

228 participants representing 114 parent/child dyads were recruited in 2 cohorts (summers of 2017 and 2018)

Participants by arm

ArmCount
NU-HOME Intervention
Participants randomized to the intervention condition will receive the NU-HOME family intervention program that includes group sessions with other families focused on nutrition education, cooking skills, and physical activity. The intervention program also includes individual goal setting phone calls with parents and online, complementary materials. NU-HOME Intervention: The NU-HOME family intervention program consists of seven monthly group sessions, individual goal setting calls and online materials to support the sessions. The intervention focuses on promoting healthful family meals where parents and children cook and eat together, healthful home food and physical activity environments, and being active together as a family.
116
Delayed Intervention
Participants randomized to the delayed intervention condition will not receive any educational materials or training until after the final data collection. Once all data collection is completed, they will receive a shortened version of the NU-HOME intervention program that was offered to the intervention families.
112
Total228

Withdrawals & dropouts

PeriodReasonFG000FG001
Follow-upLost to Follow-up20
Post InterventionDeath10
Post InterventionLost to Follow-up724

Baseline characteristics

CharacteristicTotalNU-HOME InterventionDelayed Intervention
Age, Customized
Child mean age
9.0 years
STANDARD_DEVIATION 1
9.0 years
STANDARD_DEVIATION 1
9.0 years
STANDARD_DEVIATION 1.1
Age, Customized
Parent mean age
37.8 years
STANDARD_DEVIATION 5.3
37.8 years
STANDARD_DEVIATION 5
37.8 years
STANDARD_DEVIATION 5.6
Race/Ethnicity, Customized
Child
Black, Indigenous, Person of Color
8 Participants6 Participants2 Participants
Race/Ethnicity, Customized
Child
White
106 Participants52 Participants54 Participants
Race/Ethnicity, Customized
Child Hispanic
8 Participants4 Participants4 Participants
Race/Ethnicity, Customized
Parent
Black, Indigenous, Person of Color
4 Participants2 Participants2 Participants
Race/Ethnicity, Customized
Parent
White
110 Participants56 Participants54 Participants
Race/Ethnicity, Customized
Parent Hispanic
5 Participants2 Participants3 Participants
Region of Enrollment
United States
228 participants116 participants112 participants
Sex/Gender, Customized
Child sex
Female
67 Participants32 Participants35 Participants
Sex/Gender, Customized
Child sex
Male
47 Participants26 Participants21 Participants
Sex/Gender, Customized
Parent sex
Female
111 Participants57 Participants54 Participants
Sex/Gender, Customized
Parent sex
Male
3 Participants1 Participants2 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
1 / 1160 / 112
other
Total, other adverse events
0 / 1160 / 112
serious
Total, serious adverse events
0 / 1160 / 112

Outcome results

Primary

Change in Child Body Mass Index (BMI) Z-score

Trained study staff will measure weight and height to calculate body mass index (BMI) then adjust for the child's age and sex to get BMI percentiles and z-scores. A Z-score of 0 represents the population mean with a z-score above zero indicating BMI above the population mean and a negative z-score indicating values below the population mean.

Time frame: Post intervention (9 months after baseline)

Population: 102 post intervention BMI z-scores

ArmMeasureValue (MEAN)Dispersion
NU-HOME InterventionChange in Child Body Mass Index (BMI) Z-score0.69 z-scoreStandard Deviation 1
Delayed InterventionChange in Child Body Mass Index (BMI) Z-score1.03 z-scoreStandard Deviation 0.89
Comparison: This was adjusted for the baseline BMI-Z score, child sex, baseline child age, and economic assistancep-value: 0.34295% CI: [-0.194, 0.067]Regression, Linear
Secondary

Change in Child Dietary Intake of Fruit

Child dietary intake will be assessed using mean number of servings of fruit from two 24-hour dietary recalls

Time frame: Post intervention (9 months after baseline)

Population: 98 change scores analyzed total (takes into account missingness in the predictors variables)

ArmMeasureValue (MEAN)Dispersion
NU-HOME InterventionChange in Child Dietary Intake of Fruit0.28 fruitsStandard Deviation 1.41
Delayed InterventionChange in Child Dietary Intake of Fruit-0.02 fruitsStandard Deviation 0.95
Comparison: Adjusted for: baseline fruit intake, child age (baseline), parent education status (bachelors or higher vs lower)p-value: 0.06695% CI: [-0.03, 0.77]Regression, Linear
Secondary

Change in Child Screen Time Use

Parents will report on child's daily minutes of screen time.

Time frame: Post intervention (9 months after baseline)

Population: 98 change scores analyzed total (takes into account missingness in the predictors variables)

ArmMeasureValue (MEAN)Dispersion
NU-HOME InterventionChange in Child Screen Time Use-0.19 minutesStandard Deviation 0.89
Delayed InterventionChange in Child Screen Time Use-0.20 minutesStandard Deviation 0.93
Comparison: Adjusted for: baseline screentime, child age (baseline), and child sexp-value: 0.92895% CI: [-0.31, 0.34]Regression, Linear
Secondary

Change in Dietary Intake of Vegetables

Child dietary intake will be assessed using mean number of servings of vegetables from two 24-hour dietary recalls

Time frame: Post intervention (9 months after baseline)

Population: 98 change scores analyzed total (takes into account missingness in the predictors variables)

ArmMeasureValue (MEAN)Dispersion
NU-HOME InterventionChange in Dietary Intake of Vegetables-0.27 vegetablesStandard Deviation 0.94
Delayed InterventionChange in Dietary Intake of Vegetables-0.01 vegetablesStandard Deviation 0.69
Comparison: Adjusted for: baseline vegetable intake, child age (baseline), parent education status (bachelors or higher vs lower)p-value: 0.21895% CI: [-0.4, 0.09]Regression, Linear
Secondary

Change in Home Availability of Fruits

Participants will report the number of fruits available in their home using the Home Food Inventory.

Time frame: Post intervention (9 months after baseline)

Population: 94 change scores analyzed total (takes into account missingness in the predictors variables)

ArmMeasureValue (MEAN)Dispersion
NU-HOME InterventionChange in Home Availability of Fruits1.87 fruitsStandard Deviation 3.62
Delayed InterventionChange in Home Availability of Fruits0.57 fruitsStandard Deviation 4.27
Comparison: Adjusted for: baseline HFI Fruit value, and economic assistance statusp-value: 0.0995% CI: [-0.2, 2.71]Regression, Linear
Secondary

Change in Home Availability of Vegetables

Participants will report the number of vegetables available in their home using the Home Food Inventory.

Time frame: Post Intervention (9 months after baseline)

Population: 94 change scores analyzed total (takes into account missingness in the predictors variables)

ArmMeasureValue (MEAN)Dispersion
NU-HOME InterventionChange in Home Availability of Vegetables0.52 vegetablesStandard Deviation 3.37
Delayed InterventionChange in Home Availability of Vegetables-0.76 vegetablesStandard Deviation 2.77
Comparison: Adjusted for: baseline HFI Vegetable value, and economic assistance statusp-value: 0.04795% CI: [0.02, 2.44]Regression, Linear
Secondary

Change in Minutes of Child Moderate to Vigorous Physical Activity

Children will wear an accelerometer (ActiGraph wGT3X-BT and GT3XP-BTLE models) for 7 days to measure their activity levels (e.g., minutes of Moderate-to-vigorous physical activity). Trained research staff distributed the monitors to child participants who wore the monitors on their right hip for 7 consecutive days during most waking hours, except when sleeping or doing water-related activities. Data were collected in 10-second epochs. Accelerometer data were analyzed with ActiLife software (version 6.9.1). Non-wear time was defined as any period of \>60 minutes of consecutive zeros. To be included in the analyses, participants had to have a minimum of \>8 hours of wear time on \>3 days. Evenson cutpoints for children were used to classify physical activity intensites: sedentary (0-100), light (101-2295), moderate (2296-4011), and vigorous (\>4012). Minutes engaged in Moderate to Vigorous Physical activity was analyzed.

Time frame: Post intervention (9 months after baseline)

Population: 91 change scores analyzed total (takes into account missingness in the predictors variables)

ArmMeasureValue (MEAN)Dispersion
NU-HOME InterventionChange in Minutes of Child Moderate to Vigorous Physical Activity-1.06 Minutes of physical activityStandard Deviation 21.47
Delayed InterventionChange in Minutes of Child Moderate to Vigorous Physical Activity-1.21 Minutes of physical activityStandard Deviation 23.01
Comparison: Adjusted for: baseline MVPA, child age (baseline), and child sexp-value: 0.2895% CI: [-13.56, 3.98]Regression, Linear
Secondary

Change in the Quality of Food and Beverages Served at Family Meals

Participants will report details of food offerings at 7 days of evening meals using the Evening Meal Screener and the quality will be assessed by using a healthfulness score that combines multiple aspects of the meal into a single score. We created the Healthfulness of the Evening Meal Scale which has a range of (-4 to 11) where higher values represent a better outcome.

Time frame: Post intervention (9 months after baseline)

Population: 92 change scores analyzed total (takes into account missingness in the predictors variables)

ArmMeasureValue (MEAN)Dispersion
NU-HOME InterventionChange in the Quality of Food and Beverages Served at Family Meals0.18 units on a scaleStandard Deviation 0.96
Delayed InterventionChange in the Quality of Food and Beverages Served at Family Meals-0.19 units on a scaleStandard Deviation 1.22
Comparison: Adjusted for: baseline healthfulness score and economic assistance statusp-value: 0.01995% CI: [0.08, 0.88]Regression, Linear

Source: ClinicalTrials.gov · Data processed: Feb 18, 2026