Motor functions, quality of life and maternal anxiety and depression in children with cerebral palsy of different intelligence levels

Abstract

Background. Cerebral palsy (CP) is the most common motor disability in childhood. In addition to motor impairment, it is frequently accompanied by intellectual disability (ID). We aimed to investigate the associations between motor functions, quality of life (QoL) and maternal psychopathology in children with CP of different intelligence levels. Methods. In total, 37 children and adolescents (16 females and 21 males) between 4 and 18 years of age diagnosed with CP were recruited from a Pediatric Neurology Outpatient Clinic. Gross Motor Function Classification System (GMFCS) and Bimanual Fine Motor Function (BFMF) were used for the children's motor functions assessment. Quality of life was determined by the caregivers with Pediatric Quality Of Life Inventory-Parent version (PedsQL-P). Maternal anxiety and depression levels were assessed using Beck Anxiety Inventory (BAI) and Beck Depression Inventory (BDI). Results. Moderate-severe ID (n=19)(13.5%, 37.8%) and normal IQ-mild ID (n=18) (32.4 %,16.2%) groups were evaluated in this study. GMFCS level 2 was more frequent in both groups. The majority of the severe-moderate ID group was at BFMF level 4, while the normal IQ-mild ID group was at BFMF level 2. PedsQL-P scores of children with CP, maternal BAI scores, and maternal BDI scores did not differ between the two groups (p>0.05). Psychosocial PedsQL scores had a moderate negative correlation with the maternal BAI scores (r=-0.41, p<0.05). There was also a moderate positive correlations between the ages of children and maternal BDI scores (r=0.34, p<0.05). Conclusions. Our results demonstrated that maternal anxiety was correlated with psychosocial QoL in children with CP. Maternal depression scores increasing with the ages of the children with CP may also indicate the social support needs for mothers with children of chronic diseases. Further studies may reveal the associations with other biopsychosocial factors in children with CP of different intelligence levels by using longitudinal study designs with larger sample sizes.