Child Growth and Development in East London

NCT05419336 | Completed

• 1 other identifier: 275717
• Study Type: observational
• Target: 558
• Locations: 1 country
• Sites: 1

Brief Summary

The overarching objective of this research is to detect poor growth and delayed development early in childhood by developing an automated growth-screening algorithm. The screening algorithm will be created using cohort data and piloted for feasibility and acceptability in Tower Hamlets. The ultimate goals are to detect linear growth failure and delayed development early to identify two groups of children: first, children with serious underlying medical disorders, in whom earlier diagnosis and management would improve clinical outcomes; and second, children whose poor growth and/or delayed development is a manifestation of socioeconomic disadvantage, in whom targeted pre-school interventions may improve long term health and education outcomes.

Conditions

Stunted Growth; Stunting; Growth Disorders; Child Development

Keywords

Stunting; Stunted Growth; Growth Screening

Outcome Measures

Primary Outcomes (1)

• Feasibility and acceptability of the screening pilot

  Feasibility will be assessed using Bowen et al.'s '8 areas of focus': acceptability, demand, implementation, practicality, adaptation, integration, expansion and limited-efficacy testing. To achieve this, a mixed methods evaluation will be employed including qualitative data collection using focus groups with caregivers and health visitors as well as questionnaires distributed to all caregiver participants in the study and all health visitors involved in growth and development assessments. Quantitative data will be collected on: uptake of growth measurements; number of successful growth and development measurements; number of referrals successfully completed (i.e. referred to child growth clinic with participant attending one clinic appointment); number of participants consenting to identification of their child's anthropometric data from National Child Measurement Programme; and uptake of the phone app.

  3 years

Secondary Outcomes (1)

• Linear Growth trajectory and child development

  3 years

Eligibility Criteria

• Age: 24 Months - 30 Months
• Sex: all
• Age Groups: Child (0-17)
• Sampling Method: Probability Sample

Study Population

Children randomly chosen from London borough of Tower Hamlets, based on Health Visitor records. All children will have height and weight measured as part of standard care by a Health Visitor or nursery nurse in the community, and caregivers are asked to complete a development questionnaire at age 2- 2.5 years as standard. Caregivers will be approached about taking part in the study and given information about what this involves.

You may qualify if:

• Children aged 2-2.5 years, who live in Tower Hamlets and whose caregiver(s) are willing to provide written informed consent

You may not qualify if:

• The caregiver does not provide written informed consent
• The child is not able to stand for an accurate height measurement

Sponsors & Collaborators

• Queen Mary University of London: lead
• Barts & The London NHS Trust: collaborator
• Child Growth Foundation: collaborator
• The Patients Association: collaborator

Study Sites (1)

Tower Hamlets GP Care Group

London, E1 4DG, United Kingdom

Location

Related Publications (7)

• Ahmed ML, Allen AD, Sharma A, Macfarlane JA, Dunger DB. Evaluation of a district growth screening programme: the Oxford Growth Study. Arch Dis Child. 1993 Sep;69(3):361-5. doi: 10.1136/adc.69.3.361.

  PMID: 7692826 BACKGROUND

• Green AA, MacFarlane JA. Method for the earlier recognition of abnormal stature. Arch Dis Child. 1983 Jul;58(7):535-7. doi: 10.1136/adc.58.7.535.

  PMID: 6870335 BACKGROUND

• Rogol AD, Hayden GF. Etiologies and early diagnosis of short stature and growth failure in children and adolescents. J Pediatr. 2014 May;164(5 Suppl):S1-14.e6. doi: 10.1016/j.jpeds.2014.02.027.

  PMID: 24731744 BACKGROUND

• Maghnie M, Labarta JI, Koledova E, Rohrer TR. Short Stature Diagnosis and Referral. Front Endocrinol (Lausanne). 2018 Jan 11;8:374. doi: 10.3389/fendo.2017.00374. eCollection 2017.

  PMID: 29375479 BACKGROUND

• Sankilampi U, Saari A, Laine T, Miettinen PJ, Dunkel L. Use of electronic health records for automated screening of growth disorders in primary care. JAMA. 2013 Sep 11;310(10):1071-2. doi: 10.1001/jama.2013.218793. No abstract available.

  PMID: 24026604 BACKGROUND

• Jelenkovic A, Sund R, Hur YM, Yokoyama Y, Hjelmborg JV, Moller S, Honda C, Magnusson PK, Pedersen NL, Ooki S, Aaltonen S, Stazi MA, Fagnani C, D'Ippolito C, Freitas DL, Maia JA, Ji F, Ning F, Pang Z, Rebato E, Busjahn A, Kandler C, Saudino KJ, Jang KL, Cozen W, Hwang AE, Mack TM, Gao W, Yu C, Li L, Corley RP, Huibregtse BM, Derom CA, Vlietinck RF, Loos RJ, Heikkila K, Wardle J, Llewellyn CH, Fisher A, McAdams TA, Eley TC, Gregory AM, He M, Ding X, Bjerregaard-Andersen M, Beck-Nielsen H, Sodemann M, Tarnoki AD, Tarnoki DL, Knafo-Noam A, Mankuta D, Abramson L, Burt SA, Klump KL, Silberg JL, Eaves LJ, Maes HH, Krueger RF, McGue M, Pahlen S, Gatz M, Butler DA, Bartels M, van Beijsterveldt TC, Craig JM, Saffery R, Dubois L, Boivin M, Brendgen M, Dionne G, Vitaro F, Martin NG, Medland SE, Montgomery GW, Swan GE, Krasnow R, Tynelius P, Lichtenstein P, Haworth CM, Plomin R, Bayasgalan G, Narandalai D, Harden KP, Tucker-Drob EM, Spector T, Mangino M, Lachance G, Baker LA, Tuvblad C, Duncan GE, Buchwald D, Willemsen G, Skytthe A, Kyvik KO, Christensen K, Oncel SY, Aliev F, Rasmussen F, Goldberg JH, Sorensen TI, Boomsma DI, Kaprio J, Silventoinen K. Genetic and environmental influences on height from infancy to early adulthood: An individual-based pooled analysis of 45 twin cohorts. Sci Rep. 2016 Jun 23;6:28496. doi: 10.1038/srep28496.

  PMID: 27333805 BACKGROUND

• Hauer NN, Popp B, Schoeller E, Schuhmann S, Heath KE, Hisado-Oliva A, Klinger P, Kraus C, Trautmann U, Zenker M, Zweier C, Wiesener A, Abou Jamra R, Kunstmann E, Wieczorek D, Uebe S, Ferrazzi F, Buttner C, Ekici AB, Rauch A, Sticht H, Dorr HG, Reis A, Thiel CT. Clinical relevance of systematic phenotyping and exome sequencing in patients with short stature. Genet Med. 2018 Jun;20(6):630-638. doi: 10.1038/gim.2017.159. Epub 2017 Oct 12.

  PMID: 29758562 BACKGROUND

MeSH Terms

Conditions

Growth Disorders

Condition Hierarchy (Ancestors)

Pathologic Processes; Pathological Conditions, Signs and Symptoms

Study Officials

• Prof Andrew Prendergast, DPhil MRCPCH

  Queen Mary

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: June 10, 2022
• First Posted: June 15, 2022
• Study Start: July 15, 2022
• Primary Completion: March 30, 2024
• Study Completion: September 30, 2024
• Last Updated: May 20, 2025

Record last verified: 2025-05

Locations

GB (1)