Assessment of Motor Development With a Wearable in Rural and Low-income Settings

NCT ID: NCT05782673

Last Updated: 2025-09-18

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

ACTIVE_NOT_RECRUITING

Total Enrollment

100 participants

Study Classification

OBSERVATIONAL

Study Start Date

2023-05-15

Study Completion Date

2025-12-31

Brief Summary

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The MaMa study aims to assess feasibility and validity of an infant wearable in a rural settings. Altogether N\~100 infants will be recruited and measured multiple times at homes from age 6 months to age 18 months. Neurodevelopment of the infants is assessed at 18-24 months of age to compare motor development trajectories with the later neurodevelopmental outcome.

Detailed Description

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The MaMa study aims to assess the feasibility and validity of an infant wearable method to study young infants' neuromotor development in a low income setting. In this method, infants' motor abilities (e.g. variety of different postures and movement types) are measured using a playsuit equipped with movement sensors while the infant is freely playing in his/her native environment, such as home. The data recorded with the wearable sensors is analysed afterwards using an algorithm that quantifies individual movement and posture components as well as delivers holistic interpretations of infant's motor maturity. This method is developed in University of Helsinki, and it is already successfully used in clinical research projects in Finland, Denmark, Italy and USA. Use of movement sensors is common in other wellness and health applications, however wearables of this kind have not been used before for infant's neuromotor assessment. The solution has the advantage that it provides a fully objective and quantified representation of infant's motor activity in his/her native environment; which is not achievable with any of the currently used clinical assessment methods that are typically performed in the outpatient clinic environment.

The study will be conducted in rural Malawi, is East Africa. The investigators will assess the feasibility of the wearable method in a resource poor setting by running a pilot study on approximately five-to-seven-month-old infants. In the first phase, the investigators will assess technical suitability of wearable methods in 20 typically developing infants in the rural settings, and compare the results to those obtained from infants of the same age in Finland. In the second phase, the study will continue as a longitudinal follow-up of these infants and recruit a larger study group of Malawian infants (up to a total N\~100), all of whom will undergo repeated assessment with the wearable method, every 6 weeks until the age of 18 months, or until they walk fluently. The results will support constructing motor growth charts for the Malawian infant population. At the age of 24 months, children's neuropsychological performance will be assessed using an assessment battery that was recently adapted for Malawian context; this will allow us to study how early motor development associates with later neurocognitive developmental profile.

There are three potential benefits from performing the study. First, to establish the practical feasibility and utility of a novel method for out-of-hospital neurological assessment in infants. Second, the project will establish functional motor growth charts for Malawian population to serve as a benchmark in any future intervention trial in comparable environments; these can be also compared to data from Finland. Finally, the project will allow assessing links between early motor and later cognitive development, a question with significant global health implications in all cultures.

Conditions

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Infant Development

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Interventions

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wearable MAIJU for motor assessment

The novel multisensor wearable MAIJU will be used to measure infants' motor performance at home. The recordings are repeated at 2 months intervals betveen 6 and 18 months of age.

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

* A documented birth date
* Birth at about term age, i.e. between 35 and 42 gestation weeks
* Mother's ability to speak fluently Chi-Chewa, Chi-Yao or English
* Permanent resident of Lungwena Health Centre catchment area
* Availability and willingness of the mother and infant during the period of the study
* Signed or thumb-printed informed consent by the caregiver of the infant

Exclusion Criteria

* Very early birth (at 7th month or earlier) based on mother's information
* Infant's congenital malformation or severe illness as judged clinically by a study nurse
Minimum Eligible Age

4 Months

Maximum Eligible Age

24 Months

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Tampere University

OTHER

Sponsor Role collaborator

University of Helsinki

OTHER

Sponsor Role collaborator

Kamuzu University of Health Sciences

OTHER

Sponsor Role collaborator

Helsinki University Central Hospital

OTHER

Sponsor Role lead

Responsible Party

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Sampsa Vanhatalo

professor in physiology, consultant in clinical neurophysiology

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Sampsa Vanhatalo, MD PhD

Role: PRINCIPAL_INVESTIGATOR

professor in physiology, consultant in clinical neurophysiology

Locations

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University of Helsinki

Helsinki, , Finland

Site Status

BABA, Clinical Trial Unit, New Children's Hospital

Helsinki, , Finland

Site Status

Lungwena Health Center

Mangochi, Mangochi district, Malawi

Site Status

Kamuzu University of Health Sciences

Blantyre, , Malawi

Site Status

Countries

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Finland Malawi

References

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Airaksinen M, Gallen A, Kivi A, Vijayakrishnan P, Hayrinen T, Ilen E, Rasanen O, Haataja LM, Vanhatalo S. Intelligent wearable allows out-of-the-lab tracking of developing motor abilities in infants. Commun Med (Lond). 2022 Jun 15;2:69. doi: 10.1038/s43856-022-00131-6. eCollection 2022.

Reference Type BACKGROUND
PMID: 35721830 (View on PubMed)

Airaksinen M, Rasanen O, Ilen E, Hayrinen T, Kivi A, Marchi V, Gallen A, Blom S, Varhe A, Kaartinen N, Haataja L, Vanhatalo S. Automatic Posture and Movement Tracking of Infants with Wearable Movement Sensors. Sci Rep. 2020 Jan 13;10(1):169. doi: 10.1038/s41598-019-56862-5.

Reference Type BACKGROUND
PMID: 31932616 (View on PubMed)

Related Links

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https://www.babacenter.fi/en.php?k=221282

link to presentation of the MAIJU wearable

Other Identifiers

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MaMa2022

Identifier Type: -

Identifier Source: org_study_id

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