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Children's Healthy Living Community Randomized Trial

Children's Healthy Living Program for Remote Underserved Minority Populations in the Pacific Region

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT01881373
Acronym
CHL
Enrollment
9840
Registered
2013-06-19
Start date
2012-11-30
Completion date
2020-03-31
Last updated
2024-03-04

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

Conditions

Acanthosis Nigricans, Central Obesity, Obesity

Keywords

Obesity, Child, Food, Physical Activity, Pacific

Brief summary

The goal is to build social/cultural, political/economic, and physical/built environments that will promote active play and intake of healthy food to prevent young child obesity in the Pacific Region. Our methods will support local culture in order to achieve this goal in these remote, underserved native populations. CHL will engage the community, and focus on capacity building and sustainable environmental change. The focus of the CHL community-based program is to promote healthy eating and to increase physical activity. In order to demonstrate effectiveness, the investigators will recruit and measure children in six communities selected in each of our jurisdictions in the Pacific. These represent intervention communities, comparison communities, and temporal communities.

Detailed description

The specific objectives of our study are as follows. Objective. Decrease the prevalence of young child overweight and obesity; and its functional outcomes (decrease acanthosis nigricans, and increase sleep; increase moderate to vigorous physical activity and decrease sedentary behavior (screen time); increase healthy eating (fruit and vegetable intake, water intake; decrease sweetened beverage intake), through community-based primary prevention environmental interventions in the Pacific region. Objective. Measure 2-8-year-old children at baseline and 24 months in selected communities to track behaviors and anthropometry that indicate healthy eating, physical activity, and BMI. Objective. Measure 2-8 year old children at 78 months in the selected communities to determine the long term effect of the CHL program.

Interventions

OTHERCHL program

Multiple component environmentally focused program designed with community engagement.

OTHERDelayed Optimized CHL program

CHL programs with fewer component and shorter duration.

Sponsors

University of Guam
CollaboratorOTHER
Northern Marianas College
CollaboratorUNKNOWN
University of Alaska Fairbanks
CollaboratorOTHER
American Samoa Community College
CollaboratorUNKNOWN
University of Hawaii
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
PREVENTION
Masking
NONE

Intervention model description

Community randomized intervention for child obesity prevention with multiple levels and components (policy, environment, messaging, and capacity)

Eligibility

Sex/Gender
ALL
Age
2 Years to 8 Years
Healthy volunteers
Yes

Inclusion criteria

* Community criteria Four (4) to six (6) communities in each of five (5) jurisdictions (Alaska, American Samoa, Commonwealth of Northern Mariana Islands, Guam & Hawai'i) chosen for community randomized program based on: * 2000 U.S. Census criteria * \>1000 people * \>25% Native population, * \>10% under 5y * CHL Staff Community Evaluation * Sufficient Head Start/preschool, kindergarten * Children live & go to school in area * Separation between communities to allow testing * Access for CHL * Sufficient community cohesiveness * Sufficient settings for program (community centers, parks, stores…) * Child criteria • 2-10 years of age

Exclusion criteria

* Child criteria * Known orthopedic, psychological or neurologic impairments that prevent physical activity * Presence or history of any metabolic or chronic health problems known to affect intermediary metabolism (e.g. untreated thyroid disease, cancer, hepatic disease, renal disease, diabetes, cardiovascular disease, hypertension) * Irregular use of prescription or over-the-counter medications known to affect appetite, food intake or intermediary metabolism (e.g. appetite suppressants, lithium, antidepressants, etc.)

Design outcomes

Primary

MeasureTime frameDescription
Change in Prevalence of Overweight and Obesity Using Body Mass Index Percentile for Age and SexBaseline, 24 monthsBody mass index is weight in kg divided by height in meters squared. Overweight is \> = 85th percentile to \< 95th percentile BMI for age and sex according to CDC 2000. Obesity is \> = 95th percentile BMI for age and sex according to CDC 2000. Change from baseline to 24 months in prevalence of overweight plus obesity in selected communities. Comparison group is healthy weight \>= 5th percentile to \< 85th percentile for age and sex according to CDC 2000. Underweight (\<5th percentile) were excluded.
Change in Waist CircumferenceBaseline, 78 monthsWaist circumference measured in centimeters at umbilicus.
Prevalence of Acanthosis NigricansBaseline, 24 monthsScale title: Burke Acanthosis nigricans Score, minimum 0, maximum 4. Higher score is worse. Analysis was dichotomized as present (1-4) or absent (0). A Screening on back of neck for Acanthosis nigricans according to Burke, J., D. Hale, H. Hazuda, and M. Stern. 1999. A quantitative scale of acanthosis nigricans. Diabetes Care. 22(10):1655-1659. Epub 1999/10/20. PubMed PMID: 10526730. Scale varies from 0 to 4 with 0 as not present and 4 most severe. Analysis was done on absent (0) or present (1-4).

Secondary

MeasureTime frameDescription
Change in Screen TimeChange from Baseline to 24 monthsHours per day spent in screen activity
Sleep Disturbance ScoreChange from Baseline to 24 monthsTayside sleep scale; minimum is 1, maximum is 9, where higher is worse. lower score is less disturbance (range is 1-9) Tayside Children's Sleep Questionnaire by McGreavey JA, Donnan PT, Pagliari HC, Sullivan FM.The Tayside children's sleep questionnaire: a simple tool to evaluate sleep problems in young children. Child Care Health Dev. 2005 Sep;31(5):539-44.
Change in Water IntakeChange from Baseline to 24 monthscups per day, determined from 2 random days of food records and weighted for weekend and weekday. The children from each community recruited each time were NOT the same children. The number of communities is consistent across time.
Change in Sugar Sweetened Beverage IntakeChange from baseline to 24 monthscups per day, determined from 2 random days of food records and weighted for weekend and weekday
Change in Vegetable IntakeChange from baseline to 24 monthscups per day, determined from 2 random days of food records and weighted for weekend and weekday
Change in Metabolic Equivalents (METs) Per DayBaseline, 24 monthsnumber of minutes per day within bouts of 5 minutes averaged over 4 to 6 days of accelerometer usage
Change in Hours of Sleep Per Daychange from baseline to 24 monthsSleep hours per day measure by questionnaire as reported by caregiver.
Change in Fruit IntakeChange from baseline to 24 monthscups per day, determined from 2 random days of food records and weighted for weekend and weekday
Change in Mean of Moderate and Vigorous Activity Per Day in MinutesBaseline, 24 monthsnumber of minutes per day within bouts of 5 minutes averaged over 4 to 6 days of accelerometer usage
Change in Sedentary and Light Physical ActivityBaseline, 24 monthsnumber of minutes per day within bouts of 5 minutes averaged over 4 to 6 days of accelerometer usage

Countries

United States

Participant flow

Recruitment details

communities were selected where \>25% of the population was of indigenous/native descent (native to each jurisdiction), \>10% of the population was under age 10 years, \>1000 population size, and communities were relatively accessible

Pre-assignment details

Eighteen selected communities were matched for size and randomized within jurisdiction to intervention or control. Nine additional communities were monitored with no randomization for temporal trends of obesity. 2-8 year old children and their households and environments were measured and evaluated in each of these communities.

Participants by arm

ArmCount
CHL Program
Multiple component environmentally focused intervention designed with a community engagement process. CHL program: Multiple component environmentally focused program designed with community engagement.
3,359
CHL Program
Multiple component environmentally focused intervention designed with a community engagement process. CHL program: Multiple component environmentally focused program designed with community engagement.
9
Control Community
Control community that participated in community engagement process and received delayed optimized program.
3,265
Control Community
Control community that participated in community engagement process and received delayed optimized program.
9
Temporal
Control community with limited interaction; for temporal change assessment of anthropometry.
3,216
Temporal
Control community with limited interaction; for temporal change assessment of anthropometry.
9
Total9,867

Baseline characteristics

CharacteristicCHL ProgramTotalTemporalControl Community
Age, Continuous5.42 years5.38 years5.22 years5.49 years
Race (NIH/OMB)
American Indian or Alaska Native
35 Participants278 Participants215 Participants28 Participants
Race (NIH/OMB)
Asian
186 Participants1064 Participants468 Participants410 Participants
Race (NIH/OMB)
Black or African American
32 Participants57 Participants17 Participants8 Participants
Race (NIH/OMB)
More than one race
842 Participants2425 Participants848 Participants735 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
1940 Participants4956 Participants1281 Participants1735 Participants
Race (NIH/OMB)
Unknown or Not Reported
22 Participants67 Participants24 Participants21 Participants
Race (NIH/OMB)
White
302 Participants993 Participants363 Participants328 Participants
Region of Enrollment
American Samoa
682 Participants2094 Participants739 Participants673 Participants
Region of Enrollment
Guam
781 Participants1817 Participants277 Participants759 Participants
Region of Enrollment
Northern Mariana Islands
714 Participants2119 Participants717 Participants688 Participants
Region of Enrollment
United States
433 Participants1594 Participants736 Participants425 Participants
Region of Enrollment
United States Minor Outlying Islands
749 Participants2216 Participants747 Participants720 Participants
Sex: Female, Male
Female
1699 Participants4866 Participants1571 Participants1596 Participants
Sex: Female, Male
Male
1660 Participants4974 Participants1645 Participants1669 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
EG002
affected / at risk
deaths
Total, all-cause mortality
0 / 3,3590 / 3,2650 / 3,216
other
Total, other adverse events
0 / 3,3590 / 3,2650 / 3,216
serious
Total, serious adverse events
0 / 3,3590 / 3,2650 / 3,216

Outcome results

Primary

Change in Prevalence of Overweight and Obesity Using Body Mass Index Percentile for Age and Sex

Body mass index is weight in kg divided by height in meters squared. Overweight is \> = 85th percentile to \< 95th percentile BMI for age and sex according to CDC 2000. Obesity is \> = 95th percentile BMI for age and sex according to CDC 2000. Change from baseline to 24 months in prevalence of overweight plus obesity in selected communities. Comparison group is healthy weight \>= 5th percentile to \< 85th percentile for age and sex according to CDC 2000. Underweight (\<5th percentile) were excluded.

Time frame: Baseline, 24 months

Population: Children 2-8y in selected communities of the Pacific Region; the children from each community recruited each time were NOT the same children. The number of communities is consistent across time.

ArmMeasureValue (MEAN)Dispersion
CHL ProgramChange in Prevalence of Overweight and Obesity Using Body Mass Index Percentile for Age and Sex-2.8 percentage of 2 to 8 yo childrenStandard Error 1.16
Control CommunityChange in Prevalence of Overweight and Obesity Using Body Mass Index Percentile for Age and Sex1.4 percentage of 2 to 8 yo childrenStandard Error 1.49
TemporalChange in Prevalence of Overweight and Obesity Using Body Mass Index Percentile for Age and Sex-0.40 percentage of 2 to 8 yo childrenStandard Error 2
p-value: 0.0295% CI: [-7.29, -0.47]Regression, Logistic
Comparison: The children from each community recruited each time were NOT the same children. The number of communities is consistent across time.p-value: 0.2895% CI: [-8.58, 3.32]Regression, Logistic
Primary

Change in Prevalence of Overweight and Obesity Using Body Mass Index Percentile for Age and Sex

Body mass index is weight in kg divided by height in meters squared. Overweight is \> = 85th percentile to \< 95th percentile BMI for age and sex according to CDC 2000. Obesity is \> = 95th percentile BMI for age and sex according to CDC 2000. Change from baseline to 78 months in prevalence of overweight plus obesity in selected communities. Comparison group is healthy weight \>= 5th percentile to \< 85th percentile for age and sex according to CDC 2000. Underweight (\<5th percentile) were excluded.

Time frame: Baseline, 78 months

Population: Children 2-8y in selected communities of the Pacific Region; the children from each community recruited each time were NOT the same children. The number of communities is consistent across time.

ArmMeasureValue (MEAN)Dispersion
CHL ProgramChange in Prevalence of Overweight and Obesity Using Body Mass Index Percentile for Age and Sex-5.28 percentage of 2 to 8 yo childrenStandard Error 0.17
Control CommunityChange in Prevalence of Overweight and Obesity Using Body Mass Index Percentile for Age and Sex7.32 percentage of 2 to 8 yo childrenStandard Error 0.11
TemporalChange in Prevalence of Overweight and Obesity Using Body Mass Index Percentile for Age and Sex-0.19 percentage of 2 to 8 yo childrenStandard Error 0.11
Comparison: Intervention vs. control. The children from each community recruited each time were NOT the same children. The number of communities is consistent across time.p-value: 0.00395% CI: [-20.92, -4.28]Regression, Logistic
Comparison: Intervention vs. Temporal communities. The children from each community recruited each time were NOT the same children. The number of communities is consistent across time.p-value: 0.3395% CI: [-10.36, 3.5]Regression, Logistic
Primary

Change in Waist Circumference

Waist circumference measured in centimeters at umbilicus.

Time frame: Baseline, 78 months

Population: Children 2-8 years in the selected Pacific communities.The children from each community recruited each time were NOT the same children. The number of communities is consistent across time.

ArmMeasureValue (MEAN)Dispersion
CHL ProgramChange in Waist Circumference0.83 centimetersStandard Error 0.05
Control CommunityChange in Waist Circumference2.47 centimetersStandard Error 0.04
TemporalChange in Waist Circumference1.19 centimetersStandard Error 0.03
Comparison: The children from each community recruited each time were NOT the same children. The number of communities is consistent across time.p-value: 0.00995% CI: [-2.87, -0.41]Regression, Linear
Comparison: Intervention vs temporal comparing 78 months to baseline.p-value: 0.4995% CI: [-8.5, 17.24]Regression, Linear
Primary

Change in Waist Circumference

Waist circumference measured in centimeters at umbilicus.

Time frame: Baseline, 24 months

Population: Children 2-8 years in the selected Pacific communities. The children from each community recruited each time were NOT the same children. The number of communities is consistent across time.

ArmMeasureValue (MEAN)
CHL ProgramChange in Waist Circumference-0.12 centimeters
Control CommunityChange in Waist Circumference0.59 centimeters
TemporalChange in Waist Circumference0.54 centimeters
Comparison: The children from each community recruited each time were NOT the same children. The number of communities is consistent across time.p-value: 0.0295% CI: [-1.37, -0.05]Regression, Linear
Comparison: The children from each community recruited each time were NOT the same children. The number of communities is consistent across time.p-value: 0.1395% CI: [-1.79, 0.49]Regression, Linear
Primary

Prevalence of Acanthosis Nigricans

Scale title: Burke Acanthosis nigricans Score, minimum 0, maximum 4. Higher score is worse. Analysis was dichotomized as present (1-4) or absent (0). A Screening on back of neck for Acanthosis nigricans according to Burke, J., D. Hale, H. Hazuda, and M. Stern. 1999. A quantitative scale of acanthosis nigricans. Diabetes Care. 22(10):1655-1659. Epub 1999/10/20. PubMed PMID: 10526730. Scale varies from 0 to 4 with 0 as not present and 4 most severe. Analysis was done on absent (0) or present (1-4).

Time frame: Baseline, 24 months

Population: Children 2-8 in communities that were randomized to intervention or control. Acanthosis nigricans not assessed in temporal communities.The children from each community recruited each time were NOT the same children. The number of communities is consistent across time.

ArmMeasureValue (MEAN)Dispersion
CHL ProgramPrevalence of Acanthosis Nigricans-4.1 percentage of 2-8 yo childrenStandard Error 0.79
Control CommunityPrevalence of Acanthosis Nigricans-0.5 percentage of 2-8 yo childrenStandard Error 0.96
Comparison: Intervention vs control comparing 24 months to baseline.p-value: <0.01Regression, Logistic
Primary

Prevalence of Acanthosis Nigricans

Scale title: Burke Acanthosis nigricans Score, minimum 0, maximum 4. Higher score is worse. Analysis was dichotomized as present (1-4) or absent (0). A Screening on back of neck for Acanthosis nigricans according to Burke, J., D. Hale, H. Hazuda, and M. Stern. 1999. A quantitative scale of acanthosis nigricans. Diabetes Care. 22(10):1655-1659. Epub 1999/10/20. PubMed PMID: 10526730. Scale varies from 0 to 4 with 0 as not present and 4 most severe. Analysis was done on absent (0) or present (1-4).

Time frame: Baseline, 78 months

Population: Children 2-8 in communities that were randomized to intervention or control. Acanthosis nigricans not assessed in temporal communities.The children from each community recruited each time were NOT the same children. The number of communities is consistent across time.

ArmMeasureValue (MEAN)Dispersion
CHL ProgramPrevalence of Acanthosis Nigricans-4.1 percentage of 2-8 yo childrenStandard Error 0.79
Control CommunityPrevalence of Acanthosis Nigricans-0.5 percentage of 2-8 yo childrenStandard Error 0.96
Comparison: intervention vs control. The children from each community recruited each time were NOT the same children. The number of communities is consistent across time.p-value: <0.01Regression, Logistic
Secondary

Change in Fruit Intake

cups per day, determined from 2 random days of food records and weighted for weekend and weekday

Time frame: Change from baseline to 24 months

Population: Children 2 to 8 randomized to CHL program or Control Community. Temporal community not assessed for fruit intake.

ArmMeasureValue (MEAN)Dispersion
CHL ProgramChange in Fruit Intake-0.07 cups per dayStandard Error 0.03
Control CommunityChange in Fruit Intake-0.05 cups per dayStandard Error 0.02
Comparison: Intervention vs control comparing 24 months to baseline.p-value: 0.54Regression, Linear
Secondary

Change in Fruit Intake

cups per day, determined from 2 random days of food records and weighted for weekend and weekday

Time frame: change from baseline to 78 months

Population: Children 2 to 8 randomized to CHL program or Control Community. Temporal community not assessed for fruit intake.

ArmMeasureValue (MEAN)Dispersion
CHL ProgramChange in Fruit Intake0.02 cups per dayStandard Error 0.06
Control CommunityChange in Fruit Intake-0.19 cups per dayStandard Error 0.1
Comparison: Intervention vs. control. The children from each community recruited each time were NOT the same children. The number of communities is consistent across time.p-value: 0.11Regression, Linear
Secondary

Change in Hours of Sleep Per Day

Sleep hours per day measure by questionnaire as reported by caregiver.

Time frame: change from baseline to 24 months

Population: Children 2-8y in the selected Pacific communities.

ArmMeasureValue (MEAN)Dispersion
CHL ProgramChange in Hours of Sleep Per Day0.07 hours per dayStandard Error 0.16
Control CommunityChange in Hours of Sleep Per Day0.25 hours per dayStandard Error 0.17
TemporalChange in Hours of Sleep Per Day0.09 hours per dayStandard Error 0.17
Comparison: Intervention vs control comparing 24 months to baseline.p-value: 0.48Regression, Linear
Secondary

Change in Hours of Sleep Per Day

Sleep hours per day measure by questionnaire as reported by caregiver.

Time frame: change from baseline to 78 months

Population: Children 2-8y in the selected Pacific communities.The children from each community recruited each time were NOT the same children. The number of communities is consistent across time.

ArmMeasureValue (MEAN)Dispersion
CHL ProgramChange in Hours of Sleep Per Day0.2 hours per dayStandard Error 0.18
Control CommunityChange in Hours of Sleep Per Day0 hours per dayStandard Error 0.11
TemporalChange in Hours of Sleep Per Day0.01 hours per dayStandard Error 0.2
Comparison: Intervention vs control. The children from each community recruited each time were NOT the same children. The number of communities is consistent across time.p-value: 0.37Regression, Linear
Comparison: Intervention vs temporal.The children from each community recruited each time were NOT the same children. The number of communities is consistent across time.p-value: 0.51Regression, Linear
Secondary

Change in Mean of Moderate and Vigorous Activity Per Day in Minutes

number of minutes per day within bouts of 5 minutes averaged over 4 to 6 days of accelerometer usage

Time frame: Baseline, 24 months

Population: Children 2 to 8 randomized to CHL program or Control Community. Temporal community not assessed for physical activity.

ArmMeasureValue (MEAN)Dispersion
CHL ProgramChange in Mean of Moderate and Vigorous Activity Per Day in Minutes-1.35 number of minutes per day within bouts oStandard Error 1.82
Control CommunityChange in Mean of Moderate and Vigorous Activity Per Day in Minutes-0.18 number of minutes per day within bouts oStandard Error 1.8
Comparison: Intervention vs control comparing 24 months to baseline.p-value: 0.68Regression, Linear
Secondary

Change in Metabolic Equivalents (METs) Per Day

number of minutes per day within bouts of 5 minutes averaged over 4 to 6 days of accelerometer usage

Time frame: Baseline, 24 months

Population: Children 2 to 8y randomized to CHL program or Control Community. Temporal community not assessed for accelerometry.

ArmMeasureValue (MEAN)Dispersion
CHL ProgramChange in Metabolic Equivalents (METs) Per Day-0.29 number of minutes per day within bouts oStandard Error 0.09
Control CommunityChange in Metabolic Equivalents (METs) Per Day-0.24 number of minutes per day within bouts oStandard Error 0.09
Comparison: Intervention vs control comparing 24 months to baseline.p-value: 0.71Regression, Linear
Secondary

Change in Screen Time

Hours per day spent in screen activity

Time frame: Change from Baseline to 24 months

Population: Children 2 to 8 randomized to CHL program or Control Community. Temporal community not assessed for screen time.The children from each community recruited each time were NOT the same children. The number of communities is consistent across time.

ArmMeasureValue (MEAN)Dispersion
CHL ProgramChange in Screen Time-0.2 hours per dayStandard Error 0.18
Control CommunityChange in Screen Time0.3 hours per dayStandard Error 0.22
Comparison: Intervention vs control comparing 24 months to baseline.p-value: 0.11Regression, Linear
Secondary

Change in Screen Time

Hours per day spent in screen activity

Time frame: change from Baseline to 78 months

Population: Children 2 to 8 randomized to CHL program or Control Community. Temporal community not assessed for screen time.The children from each community recruited each time were NOT the same children. The number of communities is consistent across time.

ArmMeasureValue (MEAN)Dispersion
CHL ProgramChange in Screen Time0.006 hours per dayStandard Error 0.01
Control CommunityChange in Screen Time0.10 hours per dayStandard Error 0.02
Comparison: Intervention vs. Control. The children from each community recruited each time were NOT the same children. The number of communities is consistent across time.p-value: 0.81Regression, Linear
Secondary

Change in Sedentary and Light Physical Activity

number of minutes per day within bouts of 5 minutes averaged over 4 to 6 days of accelerometer usage

Time frame: Baseline, 24 months

Population: Children 2 to 8 randomized to CHL program or Control Community. Temporal community not assessed for physical activity.

ArmMeasureValue (MEAN)Dispersion
CHL ProgramChange in Sedentary and Light Physical Activity1.78 number of minutes per day within bouts oStandard Error 3.96
Control CommunityChange in Sedentary and Light Physical Activity-1.64 number of minutes per day within bouts oStandard Error 3.9
Comparison: Intervention vs control comparing 24 months to baseline.p-value: 0.55Regression, Linear
Secondary

Change in Sugar Sweetened Beverage Intake

cups per day, determined from 2 random days of food records and weighted for weekend and weekday

Time frame: Change from baseline to 24 months

Population: Children 2 to 8 from communities randomized to CHL program or Control. Temporal communities not assessed for sugar sweetened beverage intake.The children from each community recruited each time were NOT the same children. The number of communities is consistent across time.

ArmMeasureValue (MEAN)Dispersion
CHL ProgramChange in Sugar Sweetened Beverage Intake-0.05 cups per dayStandard Error 0.08
Control CommunityChange in Sugar Sweetened Beverage Intake-0.06 cups per dayStandard Error 0.04
Comparison: Intervention vs control comparing 24 months to baseline.p-value: 0.86Regression, Linear
Secondary

Change in Sugar Sweetened Beverage Intake

cups per day, determined from 2 random days of food records and weighted for weekend and weekday

Time frame: change from baseline to 78 months

Population: Children 2 to 8 from communities randomized to CHL program or Control. Temporal communities not assessed for sugar sweetened beverage intake.The children from each community recruited each time were NOT the same children. The number of communities is consistent across time.

ArmMeasureValue (MEAN)Dispersion
CHL ProgramChange in Sugar Sweetened Beverage Intake-0.05 cups per dayStandard Error 0.07
Control CommunityChange in Sugar Sweetened Beverage Intake-0.14 cups per dayStandard Error 0.08
Comparison: Intervention vs Control. The children from each community recruited each time were NOT the same children. The number of communities is consistent across time.p-value: 0.44Regression, Linear
Secondary

Change in Vegetable Intake

cups per day, determined from 2 random days of food records and weighted for weekend and weekday

Time frame: Change from baseline to 24 months

Population: Children 2 to 8y randomized to CHL program or Control Community. Temporal community not assessed for vegetable intake.

ArmMeasureValue (MEAN)Dispersion
CHL ProgramChange in Vegetable Intake-0.01 cups per dayStandard Error 0.02
Control CommunityChange in Vegetable Intake0 cups per dayStandard Error 0.01
Comparison: Intervention vs control comparing 24 months to baseline.p-value: 0.9Regression, Linear
Secondary

Change in Vegetable Intake

cups per day, determined from 2 random days of food records and weighted for weekend and weekday

Time frame: change from baseline to 78 months

Population: Children 2 to 8y randomized to CHL program or Control Community. Temporal community not assessed for vegetable intake.

ArmMeasureValue (MEAN)Dispersion
CHL ProgramChange in Vegetable Intake0 cups per dayStandard Error 0.05
Control CommunityChange in Vegetable Intake-0.06 cups per dayStandard Error 0.04
Comparison: Intervention vs. control. The children from each community recruited each time were NOT the same children. The number of communities is consistent across time.p-value: 0.4Regression, Linear
Secondary

Change in Water Intake

cups per day, determined from 2 random days of food records and weighted for weekend and weekday

Time frame: change from baseline to 78 months.The children from each community recruited each time were NOT the same children. The number of communities is consistent across time.

Population: Children 2 to 8 randomized to CHL program or Control Community. Temporal community not assessed for water intake.The children from each community recruited each time were NOT the same children. The number of communities is consistent across time.

ArmMeasureValue (MEAN)Dispersion
CHL ProgramChange in Water Intake0.02 cups per dayStandard Error 0.03
Control CommunityChange in Water Intake0 cups per dayStandard Error 0.02
Comparison: Intervention vs control. The children from each community recruited each time were NOT the same children. The number of communities is consistent across time.p-value: 0.69Regression, Linear
Secondary

Change in Water Intake

cups per day, determined from 2 random days of food records and weighted for weekend and weekday. The children from each community recruited each time were NOT the same children. The number of communities is consistent across time.

Time frame: Change from Baseline to 24 months

Population: Children 2 to 8 randomized to CHL program or Control Community. Temporal community not assessed for water intake.

ArmMeasureValue (MEAN)Dispersion
CHL ProgramChange in Water Intake0.07 cups per dayStandard Error 0.06
Control CommunityChange in Water Intake0.11 cups per dayStandard Error 0.04
Comparison: Intervention vs control comparing 24 months to baseline.p-value: 0.71Regression, Linear
Secondary

Sleep Disturbance Score

Tayside sleep scale; minimum is 1, maximum is 9, where higher is worse. lower score is less disturbance (range is 1-9) Tayside Children's Sleep Questionnaire by McGreavey JA, Donnan PT, Pagliari HC, Sullivan FM.The Tayside children's sleep questionnaire: a simple tool to evaluate sleep problems in young children. Child Care Health Dev. 2005 Sep;31(5):539-44.

Time frame: Change from baseline to 78 months, The children from each community recruited each time were NOT the same children. The number of communities is consistent across time.

Population: Children 2 to 8y randomized to CHL program or Control Community. Temporal community not assessed for sleep disturbance.

ArmMeasureValue (MEAN)Dispersion
CHL ProgramSleep Disturbance Score1.83 units on a scaleStandard Error 0.02
Control CommunitySleep Disturbance Score1.46 units on a scaleStandard Error 0.05
Comparison: The children from each community recruited each time were NOT the same children. The number of communities is consistent across time.p-value: 0.68Regression, Linear
Secondary

Sleep Disturbance Score

Tayside sleep scale; minimum is 1, maximum is 9, where higher is worse. lower score is less disturbance (range is 1-9) Tayside Children's Sleep Questionnaire by McGreavey JA, Donnan PT, Pagliari HC, Sullivan FM.The Tayside children's sleep questionnaire: a simple tool to evaluate sleep problems in young children. Child Care Health Dev. 2005 Sep;31(5):539-44.

Time frame: Change from Baseline to 24 months

Population: Children 2 to 8y randomized to CHL program or Control Community. Temporal community not assessed for sleep disturbance.The children from each community recruited each time were NOT the same children. The number of communities is consistent across time.

ArmMeasureValue (MEAN)Dispersion
CHL ProgramSleep Disturbance Score-0.4 units on a scaleStandard Error 0.35
Control CommunitySleep Disturbance Score0.3 units on a scaleStandard Error 0.19
Comparison: mixed model adjusting for age and sex and cluster of community and strata of jurisdiction; intervention vs control comparing 24 months to baselinep-value: 0.08Regression, Linear

Source: ClinicalTrials.gov · Data processed: Mar 22, 2026