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Primary Care Pediatrics Learning Activity and Nutrition With Families

The Effectiveness of Family-based Weight Loss Treatment Implemented in Primary Care Centers

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT02873715
Acronym
PLAN
Enrollment
1010
Registered
2016-08-19
Start date
2017-11-20
Completion date
2021-08-31
Last updated
2024-07-26

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

Conditions

Pediatric Obesity

Keywords

Childhood weight control

Brief summary

This study is designed to translate an evidence-based family-based weight loss treatment for childhood obesity (FBT) into primary care settings using co-located interventionists to serve as a model for care delivered within a patient-centered medical home. FBT will be compared to usual care (UC), and the families will be followed for a 2 year period to assess between group differences in the targeted child and parent outcomes, weight changes in non-targeted siblings who are overweight/obese, parent and child changes in delay of gratification, and how these changes relate to weight loss, and the assessment of how provider attitudes predict their intention to use FBT in the future. The results of this study will inform future dissemination and implementation of FBT into primary care settings.

Detailed description

Family-based treatment (FBT) is a behavioral weight control intervention that targets children who have overweight/obesity and their parents, and has the capacity to improve the weight status of non-targeted family members such as siblings. FBT has significant positive effects on body weight in children for up to 10-years of follow-up, and a robust relationship is observed between child and parent outcomes. FBT's concurrent care of two generations of obesity in the family is more efficacious and cost-effective than if family members are treated by their separate health care providers. Despite its recognized efficacy, FBT is mainly available in specialty clinics and many children fail to receive this guideline-based level of treatment, as recommended by the U.S. Preventive Services Task Force. Primary care offers an optimal setting for delivery of FBT by capitalizing on the established relationship between primary care providers and families. Using interventionists co-located within the primary care setting overcomes barriers posed by fragmentation of care, and lack of provider time and training. One of the challenges to integrating childhood obesity treatment into primary care is optimizing limited health care resources. In behavioral weight loss programs, some individuals learn diet, physical activity, and behavior change information quickly, while others learn more slowly. Individuals also differ in their ability to implement treatment recommendations due to individual differences, such as problems with delaying gratification. FBT accommodates these individual differences by using a personalized system of instruction, or a mastery model, in which the content and dose of treatment is calibrated to the needs of the family, ensuring that treatment effort is consistent with need. This multi-site, clinical trial aims to evaluate over a two year period the effectiveness of FBT delivered by a trained interventionist co-located within primary care plus usual care delivered by the primary care provider (FBT) compared to usual care (UC). Participants will be a representative sample of 528 families with a 6-12 year-old child and a parent who have both overweight/obesity. Weight changes in approximately 228 siblings who have overweight/obesity and between 2-18 years of age will also be studied. This study will test between group differences in child (Primary Specific Aim 1A) and parent (Secondary Specific Aim 1) weight change, as well as weight change in siblings who have overweight/obesity (Secondary Aim 2), changes in parent and child delay of gratification, and how changes in delay of gratification are related to parent and child weight changes (Secondary Aim 3), participant level predictors of treatment success (Secondary Aim 4), and how provider attitudes toward evidence-based treatment and perceptions of FBT may relate to their intention to use colocated FBT in their practices in the future (Exploratory Aim 1). Establishing that FBT can be effectively implemented within real world settings is crucial to creating a system by which children and their families who suffer from obesity can be treated in a centralized primary care setting.

Interventions

Family based treatment as the invention to randomized participants. Family Based treatment utilizes behavior change techniques to target family-wide changes in diet and physical activity habits with the goal of promoting weight loss and subsequently healthy weight maintenance in all participants. Participants will have visits between 30 to 60 minutes as frequent as weekly and no longer than monthly over the two year study

BEHAVIORALUsual Care

Usual care is a treatment that is normally provided to patients in pediatric offices by a pediatrician, physician assistant, or other primary care staff.

Sponsors

National Heart, Lung, and Blood Institute (NHLBI)
CollaboratorNIH
State University of New York at Buffalo
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
DOUBLE (Investigator, Outcomes Assessor)

Masking description

Assessor will be blinded to the families group assignment. Coaches will be back up assessor. Coach 1 will be an assessor for families assigned to Coach 2, Coach 2 will collect measures for families assigned to Coach 3, and Coach 3 will collect measures for families assigned to Coach 1. Thus, coaches will not collect height and weight measures for families from their caseload. Although not possible to guarantee that coaches are blind to condition for families that are not in their caseload due to the families not being blinded, use of a standard protocol (see Appendix C) ensures objective and reliable measurement of the primary outcome. Assessors will be blind to prior heights/weights, further protecting against assessment bias.

Eligibility

Sex/Gender
ALL
Age
6 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

The participating child will be between the ages of 6 and 12 and have a BMI above the 85th percentile for age and sex. The participating child will have at least one parent who has overweight or obesity (BMI\>25) and who must agree to attend all parent/child treatment meetings as the participating parent. For families in which one parent has overweight/obesity, this parent will be required to be the participating parent in order for the family to be eligible for the study; if two parents have overweight/obesity, the family will choose one parent to enroll in the study. Similarly, if two children in the family have overweight/obesity, it will be encouraged that the older sibling be the primary participant, as it is more likely the younger sibling will model the older sibling. Though only the child who has overweight/obesity and the participating parent will be required to attend treatment sessions, all family members living in the household, including other adults and siblings, will be encouraged to participate indirectly by supporting changes in the family's lifestyle. Because a secondary aim of the study involves the tracking of treatment effects through the household to non-targeted siblings, heights and weights of at least one sibling with overweight/obesity (BMI\>85th percentile for age and sex)in the family will be collected, if applicable. Only siblings ages 2- 18 would qualify. All participants must be able to speak and comprehend English at a first-grade level.

Exclusion criteria

The participating parent or child will not have had a concussion in the past three months; will not have any significant developmental delays or intellectual disabilities; will not be receiving treatment for a Diagnostic and Statistical Manual Diploma in Social Medicine (DSM-5) disorder that interferes with treatment delivered as part of the intervention; will not have a physical disability or diagnosis that prevents performance of physical activity at a level equivalent to a brisk walk or that places severe restriction on diet; will not be on a medication regimen that affects weight; will not have a medical condition that alters nutritional status, intestinal absorption, or affects weight; will not have undergone weight loss surgery; and will not be participating in an alternate weight control program. Families in which either the participating child or parent is actively involved in other weight-loss treatment, is using weight-affecting medications, or has an impairing psychiatric or medical condition that would hinder participation in the study will be excluded as identified by the screening assessments. Families that are planning to move or in which the participating parent is pregnant or is planning on becoming pregnant during the 2 year study period will also be excluded.

Design outcomes

Primary

MeasureTime frameDescription
Body Composition Measures of Targeted Child. Percent Change Over the Median BMI0 - 24 monthsHeight and weight will be taken to calculate changes in over weight status for children in FBT versus UC. Change in percent over median BMI from baseline to 24-month. Percent over the age- and sex-specific 50th BMI percentile for kids, percent over the sex-specific 50th BMI percentile for 20-year-olds for parents. Parents are not included in this measurement. This measurement is to describe child body composition and not used for parents. Results are pooled across 10 multiple imputations and reported as mean (standard error)

Secondary

MeasureTime frameDescription
Body Composition Measures of Participating Parent. BMI (kg/m^2) Change From Baseline to 24 Month0-24 monthsHeight and weight will be taken to calculate changes in over weight status for parents in FBT versus UC. Results are pooled across 10 multiple imputations and reported as mean (standard error)
Body Composition Measures, Siblings0-24 monthsHeight and weight will be taken for non-targeted siblings to determine if weight loss effects of FBT extend beyond the participating parent and child.
Delay Discounting0, and 24 monthsDelay discounting will be measured using an adjusting amount discounting task with a delayed reward of $100. K-values will be calculated and log-versions will be used due to skewness of k-values. More negative k-values indicate more delayed choices, which is considered better decision making

Countries

United States

Participant flow

Recruitment details

Each sites local pediatric practices participated in warm hand offs to embeded coaches in the practices to recruit interested families. Families included a targeted child, targeted parent and could include one or multiple siblings but was not required. Recruitment started in November 2017 through August 2019.

Pre-assignment details

Eligible families were randomized through REDCap directly after completing the screening visit before starting the treatment phase.

Participants by arm

ArmCount
Usual Care (UC)
Usual Care will consist of the care typically delivered by the family's primary care provider for children with overweight or obesity. The implementations of UC may vary between providers but typically includes and assessment of the child's weight, help remove barriers to weight loss and introductions of goals for better weight management. Usual Care: Usual care is a treatment that is normally provided to patients in pediatric offices by a pediatrician, physician assistant, or other primary care staff.
504
Family-based Treatment (FBT)
Family- Based treatment utilizes behavior change techniques to target family-wide changes in diet and physical activity habits with the goal of promoting weight loss and subsequently healthy weight maintenance in all participants. Participants will have visits between 30 to 60 minutes as frequent as weekly and no longer than monthly over the two yeart study Family-based treatment: Family based treatment as the invention to randomized participants. Family Based treatment utilizes behavior change techniques to target family-wide changes in diet and physical activity habits with the goal of promoting weight loss and subsequently healthy weight maintenance in all participants. Participants will have visits between 30 to 60 minutes as frequent as weekly and no longer than monthly over the two year study Usual Care: Usual care is a treatment that is normally provided to patients in pediatric offices by a pediatrician, physician assistant, or other primary care staff.
506
Total1,010

Withdrawals & dropouts

PeriodReasonFG000FG001
Overall StudyLost to Follow-up8494
Overall StudyWithdrawal by Subject726

Baseline characteristics

CharacteristicUsual Care (UC)Family-based Treatment (FBT)Total
Age, Continuous
Index children
9.7 years
STANDARD_DEVIATION 1.9
9.8 years
STANDARD_DEVIATION 1.9
9.7 years
STANDARD_DEVIATION 1.9
Age, Continuous
Parents
41.4 years
STANDARD_DEVIATION 7
41.2 years
STANDARD_DEVIATION 7.8
41.3 years
STANDARD_DEVIATION 7.5
Age, Continuous
Siblings
10.4 years
STANDARD_DEVIATION 3.8
9.7 years
STANDARD_DEVIATION 3.6
10.0 years
STANDARD_DEVIATION 3.7
Body mass index (BMI)
Parents
37.5 kg/m^2
STANDARD_DEVIATION 7.9
36.5 kg/m^2
STANDARD_DEVIATION 7.6
37.0 kg/m^2
STANDARD_DEVIATION 7.8
Body mass index (BMI)
Siblings
27.4 kg/m^2
STANDARD_DEVIATION 7.9
24.4 kg/m^2
STANDARD_DEVIATION 5.6
25.9 kg/m^2
STANDARD_DEVIATION 7
Body mass index (BMI)
Targeted Children
26.9 kg/m^2
STANDARD_DEVIATION 5.2
26.7 kg/m^2
STANDARD_DEVIATION 5
26.8 kg/m^2
STANDARD_DEVIATION 5.1
Child BMI percentile
Siblings
98.04 percentile96.96 percentile97.43 percentile
Child BMI percentile
Targeted Children
98.46 percentile98.27 percentile98.40 percentile
Child percent over median body mass index
Sibling
51.8 percent37.3 percent41.9 percent
Child percent over median body mass index
Targeted Children
53.8 percent56.1 percent54.7 percent
Ethnicity (NIH/OMB)
Parents
Hispanic or Latino
8 Participants17 Participants25 Participants
Ethnicity (NIH/OMB)
Parents
Not Hispanic or Latino
218 Participants209 Participants427 Participants
Ethnicity (NIH/OMB)
Parents
Unknown or Not Reported
0 Participants0 Participants0 Participants
Ethnicity (NIH/OMB)
Siblings
Hispanic or Latino
5 Participants6 Participants11 Participants
Ethnicity (NIH/OMB)
Siblings
Not Hispanic or Latino
47 Participants48 Participants95 Participants
Ethnicity (NIH/OMB)
Siblings
Unknown or Not Reported
0 Participants0 Participants0 Participants
Ethnicity (NIH/OMB)
Targeted Children
Hispanic or Latino
19 Participants21 Participants40 Participants
Ethnicity (NIH/OMB)
Targeted Children
Not Hispanic or Latino
207 Participants205 Participants412 Participants
Ethnicity (NIH/OMB)
Targeted Children
Unknown or Not Reported
0 Participants0 Participants0 Participants
Participants
Parents
226 Participants226 Participants452 Participants
Participants
Siblings
52 Participants54 Participants106 Participants
Participants
Targeted children
226 Participants226 Participants452 Participants
Race (NIH/OMB)
Parents
American Indian or Alaska Native
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Parents
Asian
3 Participants3 Participants6 Participants
Race (NIH/OMB)
Parents
Black or African American
55 Participants58 Participants113 Participants
Race (NIH/OMB)
Parents
More than one race
2 Participants1 Participants3 Participants
Race (NIH/OMB)
Parents
Native Hawaiian or Other Pacific Islander
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Parents
Unknown or Not Reported
27 Participants16 Participants43 Participants
Race (NIH/OMB)
Parents
White
139 Participants148 Participants287 Participants
Race (NIH/OMB)
Siblings
American Indian or Alaska Native
1 Participants0 Participants1 Participants
Race (NIH/OMB)
Siblings
Asian
0 Participants1 Participants1 Participants
Race (NIH/OMB)
Siblings
Black or African American
13 Participants12 Participants25 Participants
Race (NIH/OMB)
Siblings
More than one race
5 Participants5 Participants10 Participants
Race (NIH/OMB)
Siblings
Native Hawaiian or Other Pacific Islander
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Siblings
Unknown or Not Reported
12 Participants9 Participants21 Participants
Race (NIH/OMB)
Siblings
White
21 Participants27 Participants48 Participants
Race (NIH/OMB)
Targeted Children
American Indian or Alaska Native
1 Participants0 Participants1 Participants
Race (NIH/OMB)
Targeted Children
Asian
3 Participants5 Participants8 Participants
Race (NIH/OMB)
Targeted Children
Black or African American
65 Participants58 Participants123 Participants
Race (NIH/OMB)
Targeted Children
More than one race
22 Participants17 Participants39 Participants
Race (NIH/OMB)
Targeted Children
Native Hawaiian or Other Pacific Islander
0 Participants0 Participants0 Participants
Race (NIH/OMB)
Targeted Children
Unknown or Not Reported
8 Participants15 Participants23 Participants
Race (NIH/OMB)
Targeted Children
White
127 Participants131 Participants258 Participants
Sex: Female, Male
Parents
Female
192 Participants196 Participants388 Participants
Sex: Female, Male
Parents
Male
34 Participants30 Participants64 Participants
Sex: Female, Male
Siblings
Female
30 Participants30 Participants60 Participants
Sex: Female, Male
Siblings
Male
22 Participants24 Participants46 Participants
Sex: Female, Male
Targeted Children
Female
122 Participants120 Participants242 Participants
Sex: Female, Male
Targeted Children
Male
104 Participants106 Participants210 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
0 / 5040 / 506
other
Total, other adverse events
314 / 504345 / 506
serious
Total, serious adverse events
24 / 50439 / 506

Outcome results

Primary

Body Composition Measures of Targeted Child. Percent Change Over the Median BMI

Height and weight will be taken to calculate changes in over weight status for children in FBT versus UC. Change in percent over median BMI from baseline to 24-month. Percent over the age- and sex-specific 50th BMI percentile for kids, percent over the sex-specific 50th BMI percentile for 20-year-olds for parents. Parents are not included in this measurement. This measurement is to describe child body composition and not used for parents. Results are pooled across 10 multiple imputations and reported as mean (standard error)

Time frame: 0 - 24 months

Population: Targeted Children

ArmMeasureValue (MEAN)Dispersion
Usual Care (UC)Body Composition Measures of Targeted Child. Percent Change Over the Median BMI10.2 percent changeStandard Deviation 1
Family-based Treatment (FBT)Body Composition Measures of Targeted Child. Percent Change Over the Median BMI3.4 percent changeStandard Deviation 1.3
p-value: <0.0595% CI: [-10.14, -2.29]ANCOVA
Secondary

Body Composition Measures of Participating Parent. BMI (kg/m^2) Change From Baseline to 24 Month

Height and weight will be taken to calculate changes in over weight status for parents in FBT versus UC. Results are pooled across 10 multiple imputations and reported as mean (standard error)

Time frame: 0-24 months

Population: Participating Parents

ArmMeasureValue (MEAN)Dispersion
Usual Care (UC)Body Composition Measures of Participating Parent. BMI (kg/m^2) Change From Baseline to 24 Month-0.03 Change in kg/m^2 (BMI)Standard Deviation 0.22
Family-based Treatment (FBT)Body Composition Measures of Participating Parent. BMI (kg/m^2) Change From Baseline to 24 Month-0.62 Change in kg/m^2 (BMI)Standard Deviation 0.24
p-value: 0.00195% CI: [-5.68, -2.26]ANCOVA
Secondary

Body Composition Measures, Siblings

Height and weight will be taken for non-targeted siblings to determine if weight loss effects of FBT extend beyond the participating parent and child.

Time frame: 0-24 months

Population: Siblings

ArmMeasureValue (MEAN)Dispersion
Usual Care (UC)Body Composition Measures, Siblings8.3 Change in % over median BMIStandard Deviation 2.6
Family-based Treatment (FBT)Body Composition Measures, Siblings6.6 Change in % over median BMIStandard Deviation 2.9
Secondary

Delay Discounting

Delay discounting will be measured using an adjusting amount discounting task with a delayed reward of $100. K-values will be calculated and log-versions will be used due to skewness of k-values. More negative k-values indicate more delayed choices, which is considered better decision making

Time frame: 0, and 24 months

Population: Parents and children are reported separately. Intent to treat was not used, number analyzed included parents and children with complete data (baseline and 24 month delay discounting measures). Siblings are not analyzed here.

ArmMeasureGroupValue (MEAN)Dispersion
Usual Care (UC)Delay DiscountingParent baseline delay discounting log k-value-5.98 natural logStandard Deviation 3.21
Usual Care (UC)Delay DiscountingParent 24-month Delay discounting log k-value-6.45 natural logStandard Deviation 2.58
Usual Care (UC)Delay DiscountingChild baseline delay discounting log k-value-4.37 natural logStandard Deviation 4.02
Usual Care (UC)Delay DiscountingChild 24-month Delay discounting log k-value-4.76 natural logStandard Deviation 3.23
Family-based Treatment (FBT)Delay DiscountingChild 24-month Delay discounting log k-value-4.71 natural logStandard Deviation 2.62
Family-based Treatment (FBT)Delay DiscountingParent baseline delay discounting log k-value-6.14 natural logStandard Deviation 2.54
Family-based Treatment (FBT)Delay DiscountingChild baseline delay discounting log k-value-4.22 natural logStandard Deviation 3.48
Family-based Treatment (FBT)Delay DiscountingParent 24-month Delay discounting log k-value-6.75 natural logStandard Deviation 2.43
Comparison: repeated measures analysis of variance for parent delay discounting changes from 0 to 24-month. This includes only parents with complete data for both time points and does not exclude based on johnson-bickel rules. Reporting time x group analysis.p-value: 0.65ANOVA
Comparison: repeated measures analysis of variance for child delay discounting changes from 0 to 24-month. This includes only parents with complete data for both time points and does not exclude based on johnson-bickel rules. Reporting time x group analysis.p-value: 0.87ANOVA

Source: ClinicalTrials.gov · Data processed: Feb 9, 2026