# The Impact of Psychological Health on Childhood Obesity: A Cross-Developmental Stage Analysis
## 2 Materials and Methods
### Psychological Measures and BMI in Early Childhood (8-11 Years Old)  
The dataset consists of 36 children, which includes 26 girls and 10 boys. Within the group, 23 children are classified as 'Healthy', 6 as 'Overweight', and 7 as 'Obese'. The mean and standard deviation (SD) of Body Mass Index (BMI) for the 'Healthy' category is 16.39 \(\pm\) 1.24, for the 'Overweight' category is 20.17 \(\pm\) 1.06, and for the 'Obese' category is 23.29 \(\pm\) 1.47. Across all categories, the overall mean BMI is 18.36 with an SD of \(\pm\)3.06.  
The dataset contains several variables that are associated with both psychological measures and biometric data of children aged between 8 and 11 years. The variables included in the dataset are as follows:  
Gender: This indicates the biological sex of the child (male or female). This demographic variable is crucial for interpreting BMI percentiles, which vary by gender, and can also be relevant in the analysis of psychological measures due to differences in emotional expression and regulation across genders [23].  
These detailed attribute descriptions, grounded in psychological and biometric research, provide a comprehensive understanding of the dataset's variables. The population represented in this dataset comprises children in the pre-adolescent developmental stage, a critical period where psychological and physical health patterns begin to emerge and solidify. These data could be used to explore the relationships between psychological well-being and obesity risk in children.  
This dataset allows for the analysis of how psychological factors related to obesity during this developmental stage and could be instrumental in identifying early predictors of obesity. It may also help in understanding how emotional regulation skills are associated with weight status in children. For a more complete methodology, additional details about how the scores were obtained, the sample size, the geographical location, and the socio-economic background of the participants would also be necessary.  
The dataset for children aged 8-11 years old encompasses a variety of psychological and biometric measures, collected through questionnaires. This data subset specifically aims to investigate the interplay between psychological well-being and physical health, as indicated by Body Mass Index (BMI) categories and percentiles, across 36 participants.  
Numerically, the dataset details scores on Affect Dysregulation and Suppression, as well as Adaptive Reflection abilities. On average, children exhibit a moderate level of Affect Dysregulation (mean = 2.65, SD = 0.89) and Suppression (mean = 2.35, SD = 0.82), with Adaptive Reflection also showing a moderate mean score of 3.20 (SD = 0.87). The BMI values range from 13.5 to 26.1, with an average BMI of 18.36 (SD = 3.10), reflecting a broad spectrum of body weights. The BMI percentiles, ranging from 6 to 98.3, with a mean of 62.65 (SD = 29.17), further contextualizing the children's BMI concerning age and gender norms.  
Categorically, the dataset reveals 'Healthy' as the predominant BMI Category, represented by 23 of the 36 children, indicating a majority within normal weight parameters for their age group. Gender distribution within this cohort leans towards females, comprising 26 out of 36 participants.