Understanding mental health dimensions through socio-demographic, policy and urban planning frameworks

This study aims to examine how socio-demographic, public policy and urban planning conditions jointly shape multiple dimensions of mental health in the USA. This study uses hierarchical linear regression analysis. Policy and urban-contextual factors are strongly associated with emotional distress, although their effects vary across mental health dimensions. Specifically, government efforts aimed at helping poor people, supporting sick individuals, addressing urban problems and enhancing neighborhood safety are significantly associated with lower levels of sadness. Nervousness is similarly influenced by policy orientations toward sick people and by perceived safety, while anxiety is most strongly associated with the economic policy and the capacity of governments to resolve urban problems. By contrast, socio-demographic influences exhibit differentiated patterns across mental health outcomes. Mental health is not shaped by a single set of determinants but instead reflects a layered structure in which individual, institutional, urban factors interact in outcome-specific ways.