Motor development trajectories of children with cerebral palsy in a community-based early intervention program in rural South India.
Western motor charts mislead rural Indian families—use these new local curves instead.
01Research in Context
What this study did
Lizon et al. (2024) tracked the kids with cerebral palsy in rural South India for two years.
They used the Gross Motor Function Measure every three months to chart how each child moved.
The team grouped kids by GMFCS level I-V and drew growth-like curves for each group.
What they found
The curves looked nothing like the Western charts we usually use.
Kids in rural India gained skills later and at slower rates than high-income country norms.
Even within the same GMFCS level, the Indian curves showed wider gaps between levels.
How this fits with other research
dos Santos et al. (2011) warned that we lacked population-specific data for CP motor patterns. Lizon et al. (2024) now fills that gap for rural South India.
Medeiros et al. (2015) showed seat height changes joint angles but not stability in lab tests. Marie's real-world curves suggest these lab findings may not predict long-term development.
Lynn et al. (2013) gave us precise spasticity angles. Marie's work adds the missing piece: how those angles play out over years in low-resource settings.
Why it matters
Stop using Western growth charts to predict when a child with CP will walk. These new curves give you realistic timelines for rural South Asian kids. Share them with families so they set proper expectations and celebrate real gains.
Want CEUs on This Topic?
The ABA Clubhouse has 60+ free CEUs — live every Wednesday. Ethics, supervision & clinical topics.
Join Free →Print the new Indian CP curves and tape them next to your old Western charts—start using local timelines for goal setting
02At a glance
03Original abstract
BACKGROUND: Developmental trajectories are crucial for evidence-based prognostication, planning interventions, and monitoring progress in children with cerebral palsy (CP). AIMS: To describe gross motor development patterns of children with CP in rural South India for the five Gross Motor Function Classification System (GMFCS) levels. METHODS: Longitudinal cohort study of 302 children (176 males, 126 females) with CP aged 0 to 10 years, followed by a community-based early intervention program. GMFCS levels were 5.4 % level 1, 16.5 % level II, 22.8 % level III, 26.8 % level IV, and 28.5 % level V. Assessments were undertaken using the Gross Motor Function Measure (GMFM-66) at 6-month intervals between April 2017 and August 2020. Longitudinal analyses were performed using mixed-effects linear regression models. OUTCOMES AND RESULTS: Five distinct motor development curves were created for ages 0 to 10 years by GMFCS levels as a function of age and GMFM-66 with a stable limit model, variation in estimated limits and rates of development. CONCLUSIONS AND IMPLICATIONS: Motor development trajectories for CP in an LMIC differ from those reported in HICs. Consideration of how social determinants of health, environmental and personal factors impact motor development in low-resource contexts is crucial. Further work is needed to describe developmental trajectories of children for CP in LMICs.
Research in developmental disabilities, 2024 · doi:10.1016/j.ridd.2024.104829