Environment, physical activity (PA) and motor development are tightly interwoven during childhood. We examined the associations of environmental factors with motor competence (MC) in children. Children (N = 945, 50.1% boys, age = 3–7 years, mean = 5.4 years) from 37 childcare centres in the Southern (n = 17), Central (n = 13) and Northern Finland (n = 7) participated. The environmental factors comprised the geographical location (Southern, Central and Northern Finland) and residential density (metropolitan area, city, rural area and countryside) of the childcare centres’ based on postal codes and the national population density registry. MC was measured using the Test of Gross Motor Development (TGMD)-3, as well as by quantifying time spent outdoors and participation in organised sports via parental questionnaire. It was found that children from the countryside had better MC and spent most time outdoors, while children from the metropolitan area most frequently engaged in organised sports. Gender comparisons revealed that girls outperformed boys in locomotor skills, while boys were better in object control skills, had higher TGMD-3 score and spent more time outdoors. Time spent outdoors and participation in organised sports were associated positively with MC, but not in children from the countryside. In conclusion, higher population density was associated with lower MC and less time spent outdoors. The findings suggest that versatile outdoor environments may support motor development through PA.

We investigated child, family, and environmental factors associated with young children’s perceptions of locomotor (LM) and object control (OC) skills. The participants comprised 472 children (6.22 ± 0.63) and their parents. The children were assessed for their perception of motor competence in LM and OC skills (using the pictorial scale of Perceived Movement Skill Competence for young children), and actual motor competence (Test of Gross Motor Development 3rd edition and Körperkoordinationstest Für Kinder). Anthropometrics were calculated using the children’s body mass index standard deviation scores. A parent questionnaire included questions about child factors (sex, child’s independent walking age, time spent sedentary and outdoors, participation in organized sport activities, and access to electronic devices), family factors (parent educational level, physical activity frequency, and sedentary behavior), and environmental factors (access to sport facilities). Variance analysis sought to identify age‐related differences, and a linear regression model examined correlates of children’s perception of LM and OC skills. The children’s movement skill perceptions were found to be generally high. Four factors explained 5.7% of the variance in perceptions of LM skills and 7.5% of the variance in perceptions of OC skills. Two factors, lower age and higher actual motor competence, explained most of the children’s skill perceptions. Access to electronic devices (less) and Body mass index (BMI) (higher) were associated with perceptions of LM skills. Participation in organized sport activities (higher) and parental education (lower) were associated with perceptions of OC skills. When promoting children’s physical activity and motor competence, perceptions of motor competence are an important consideration.

We examined the relationship between physical activity parenting (PAP) and child, family, and environmental factors in families. The participants were 840 families with young children (n = 993; 5.40 ± 1.14 years) and parents (n = 993; 35.8 ± 5.29 years). Parents' self-reported PAP (co-participation, (in)direct support, and encouragement), child-specific (sex, age, temperament, outdoor time, organized physical activity or sports, sedentary time, media time, PA enjoyment, motor skills compared to peers, PA, and sport facility use), family-specific (respondent's sex, age, education, exercise frequency, family income, family status, number of children in the family, child's birth order and partner's PAP, and exercise frequency), and environment-specific (residential density, access to sport and outdoor facilities, type of house, and access to electronic devices) factors were collected. Children's motor skills and anthropometrics were measured. After adjusting for the family cluster effect, child, family, and environmental factors were entered into a linear mixed-effects model, with PAP as the response variable. The final model consisted of statistically significant factors, and parental education, which was forced into the model. Nine child- and family-related factors explained 15% of parenting variance between the children and 52% between the families. Partner's PAP (B = 0.68, P < 0.001) had the strongest association, whereas the child's temperament (B = 0.08, P < 0.001) and birth order (B = -0.10, P < 0.001) had smaller but novel associations with the respondent's PAP. Partner's PAP and a range of child- and family-related factors should be considered when promoting parental support for child PA.

Physical activity and motor competence (MC) have been considered to be closely related and prevent childhood obesity. The aim of the study was two-fold: to examine MC measured with two different tools in relation to individual, family, and environmental correlates and to investigate gender differences in MC. The Test of Gross Motor Development-Third Edition (TGMD-3) was administered to three- to seven-year-old children (n = 945), while the Körperkoordinationstest für Kinder (KTK) was also used for five- to seven-year-old children (n = 444). The parent questionnaire (n = 936) included questions about individual (e.g., participation in organized sports), family (e.g., parents’ education level), and environmental (e.g., access to sports facilities) correlates. The children’s temperament was assessed using the Colorado Childhood Temperament Inventory (CCTI) questionnaire. Data were analyzed using one-way analysis of variance and linear mixed-effects regression models. The regression models explained 57% and 38% of the variance in TGMD-3 and KTK, respectively. Individual correlates, including older age, more frequent participation in sports, and specific temperament traits of activity and attention span-persistence, were the strongest predictors for better MC. Small gender differences were found in both assessment tools, albeit in a different manner. In conclusion, socioecological correlates of MC in young children are multidimensional, and individual correlates appear to be the most important predictors of MC. Importantly, the correlates can differ according to the MC assessment tools.

The study aims were to 1) examine profiles of perception of motor competence (PMC) in relation to actual motor competence (AMC), i.e. under-estimators (UEs), realistic estimators (REs) and over-estimators (OEs) and 2) investigate associations between the profiles and selected socioecological factors at the individual, family and environmental levels. PMC (Pictorial Scale of Perceived Movement Skill Competence) and AMC (Test of Gross Motor Development-Third Edition) were administered to a representative sample of children from 37 childcare centres in Finland (n=441;6.2±0.6yrs;52% boys). Socioecological factors were investigated using a parental questionnaire. The three profiles were formed based on age-and genderadjusted PMC and AMC z-scores. Multinomial logistic regression showed that OEs (n=81; p=0.04) tended to be younger than REs (n=306; p=0.04) and UEs (n=54; p=0.03). Parents of OEs reported more child health and developmental issues than parents of REs (p=0.03). Parents of UEs self-reported providing more support for physical activity than parents' of REs (p=0.04). REs tended to live in denser population areas than UEs (n=54; p=0.03). Whilst PMC profiles revealed some socioecological differences, future research needs to focus on a broader range of potential correlates and untangle methodological analyses challenges to deepen the knowledge about PMC development in children.