The study will explore the future impacts of Social Determinants of Health (SDOH) on child health, focusing on unbiased computational analyses of high-dimensional SDOH factors to identify patterns and their associations with child mental, cognitive, and physical health outcomes. It will involve children aged 9 to 10 and their caregivers from the Adolescent Brain Cognitive Development Study, encompassing 21 sites across 17 states from 2016 to 2021. Eighty-four neighborhood-level SDOH variables across seven domains will be examined using hierarchical agglomerative clustering to identify SDOH patterns. The study aims to estimate the associations of these patterns with child mental health (including behaviors and suicidal tendencies), cognitive functions (such as performance and reading skills), and physical health indicators (like BMI, exercise habits, and sleep disorders) through mixed-effects linear and logistic regression models. It will analyze data from 10,504 children, identifying four distinct SDOH patterns: affluence, high-stigma environment, socioeconomic deprivation, and high crime/drug areas combined with low education and high population density. Future research will particularly note that children under socioeconomic deprivation are likely to exhibit the worst health profiles, demonstrating significant internalizing and externalizing mental health issues, reduced cognitive abilities, and poorer physical health outcomes. The conclusion will suggest the potential benefits of improving socioeconomic conditions to enhance child developmental outcomes, highlighting the critical role of SDOH patterns in shaping future child health profiles.