Obesity, Childhood Clinical Trial
Official title:
Addressing the Social Needs of Children Attending a Weight Management Program: a Pilot Randomized Controlled Trial
NCT number | NCT04711707 |
Other study ID # | 12697 |
Secondary ID | |
Status | Recruiting |
Phase | N/A |
First received | |
Last updated | |
Start date | January 25, 2021 |
Est. completion date | December 2021 |
This study aims to improve the treatment of a common, chronic health concern for children: obesity. It has the potential to improve the care we provide by testing an intervention that addresses social needs and the important upstream factors that influences health outcomes.
Status | Recruiting |
Enrollment | 80 |
Est. completion date | December 2021 |
Est. primary completion date | December 2021 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 2 Years to 18 Years |
Eligibility | Inclusion Criteria: - Enrollment in the weight management program Exclusion Criteria: - Children in the care of child protection services and/or living in group or foster care. Children in these settings will not be living within typical family-systems to have social needs addressed by this intervention. - Parents who cannot read and write in English |
Country | Name | City | State |
---|---|---|---|
Canada | Kimberley Krasevich | Hamilton | Ontario |
Lead Sponsor | Collaborator |
---|---|
Hamilton Health Sciences Corporation |
Canada,
Chen E, Martin AD, Matthews KA. Trajectories of socioeconomic status across children's lifetime predict health. Pediatrics. 2007 Aug;120(2):e297-303. Epub 2007 Jul 2. — View Citation
Colvin JD, Bettenhausen JL, Anderson-Carpenter KD, Collie-Akers V, Plencner L, Krager M, Nelson B, Donnelly S, Simmons J, Higinio V, Chung PJ. Multiple Behavior Change Intervention to Improve Detection of Unmet Social Needs and Resulting Resource Referrals. Acad Pediatr. 2016 Mar;16(2):168-74. doi: 10.1016/j.acap.2015.06.001. Epub 2015 Jul 14. — View Citation
COUNCIL ON COMMUNITY PEDIATRICS. Poverty and Child Health in the United States. Pediatrics. 2016 Apr;137(4). pii: e20160339. doi: 10.1542/peds.2016-0339. Epub 2016 Mar 9. — View Citation
Fazalullasha F, Taras J, Morinis J, Levin L, Karmali K, Neilson B, Muskat B, Bloch G, Chan K, McDonald M, Makin S, Ford-Jones EL. From office tools to community supports: The need for infrastructure to address the social determinants of health in paediatric practice. Paediatr Child Health. 2014 Apr;19(4):195-9. Review. — View Citation
Fox CK, Cairns N, Sunni M, Turnberg GL, Gross AC. Addressing Food Insecurity in a Pediatric Weight Management Clinic: A Pilot Intervention. J Pediatr Health Care. 2016 Sep-Oct;30(5):e11-5. doi: 10.1016/j.pedhc.2016.05.003. Epub 2016 Jun 16. — View Citation
Gottlieb LM, Wing H, Adler NE. A Systematic Review of Interventions on Patients' Social and Economic Needs. Am J Prev Med. 2017 Nov;53(5):719-729. doi: 10.1016/j.amepre.2017.05.011. Epub 2017 Jul 5. Review. — View Citation
Hadjiyannakis S, Ibrahim Q, Li J, Ball GDC, Buchholz A, Hamilton JK, Zenlea I, Ho J, Legault L, Laberge AM, Thabane L, Tremblay M, Morrison KM. Obesity class versus the Edmonton Obesity Staging System for Pediatrics to define health risk in childhood obesity: results from the CANPWR cross-sectional study. Lancet Child Adolesc Health. 2019 Jun;3(6):398-407. doi: 10.1016/S2352-4642(19)30056-2. Epub 2019 Apr 3. — View Citation
Kenyon C, Sandel M, Silverstein M, Shakir A, Zuckerman B. Revisiting the social history for child health. Pediatrics. 2007 Sep;120(3):e734-8. — View Citation
Ligthart KAM, Buitendijk L, Koes BW, van Middelkoop M. The association between ethnicity, socioeconomic status and compliance to pediatric weight-management interventions - A systematic review. Obes Res Clin Pract. 2017 Sep - Oct;11(5 Suppl 1):1-51. doi: 10.1016/j.orcp.2016.04.001. Epub 2016 Apr 20. Review. — View Citation
Oliver LN, Hayes MV. Neighbourhood socio-economic status and the prevalence of overweight Canadian children and youth. Can J Public Health. 2005 Nov-Dec;96(6):415-20. — View Citation
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* Note: There are 11 references in all — Click here to view all references
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Recruitment Rates | Recruitment rate refers to the number of participants enrolled and is measured by the number of consent forms signed or implied. Recruitment will be successful if 80% of our target sample is met. | 6 months | |
Primary | Uptake of Intervention | Uptake of the intervention refers to the number of enrolled families who completed all aspect of the intervention. Elements that are part of the uptake include: social history following enrollment as well as the quality of life questionnaires and use of service questionnaire at enrolment and 6-months. Uptake will be considered successful if >80% of families complete the intervention. | 6 months | |
Primary | Follow-up of Participants | Follow-up of participants refers to the participants attending all of their scheduled study visits. The study will be considered successful if >90% of participants complete all study visits. | 6 months | |
Secondary | Change in Body Mass Index Z-Score | The body mass index Z-score (zBMI) is calculated using WHO growth charts, for age and sex. Height and weight of the child will be collected from the chart at baseline and from every visit the participant has in clinic until the end of the intervention. BMI will be calculated by dividing weight in kilograms by the square of the body height in metres squared. | 6 Months | |
Secondary | Change in Body Composition | Body fat will be assessed at baseline and at the end of the intervention using the Quantum II BIA analyzer (RJL Systems). Bioelectrical impedance analysis (BIA) is non-invasive and portable. It measures electrical impedance of tissues by applying alternating current to the body tissues (not felt by the participant), which is used in regression equations to approximate body fat and fat free mass. This will be collected at baseline from the chart and from every visit the participant has in clinic until the end of the intervention. | 6 Months | |
Secondary | Change in Quality of Life | Quality of life will be measured using the Pediatrics Quality of Life Inventory (PedsQL™). Both the patient and the parent or guardian will be asked to complete the PedsQL™. The minimum possible score for this inventory is 0 and the highest is 100. Higher scores indicate a better Health Related Quality of Life (HRQOL). | 6 Months |
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