The cunning of data in Indigenous housing and health

Built Environment Features and Cardiometabolic Mortality and Morbidity in Remote Indigenous Communities in the Northern Territory, Australia

Indigenous Australians experience poorer health than non-Indigenous Australians, with cardiometabolic diseases (CMD) being the leading causes of morbidity and mortality. Built environmental (BE) features are known to shape cardiometabolic health in urban contexts, yet little research has assessed such relationships for remote-dwelling Indigenous Australians. This study assessed associations between BE features and CMD-related morbidity and mortality in a large sample of remote Indigenous Australian communities in the Northern Territory (NT). CMD-related morbidity and mortality data were extracted from NT government health databases for 120 remote Indigenous Australian communities for the period 1 January 2010 to 31 December 2015. BE features were extracted from Serviced Land Availability Programme (SLAP) maps. Associations were estimated using negative binomial regression analysis. Univariable analysis revealed protective effects on all-cause mortality for the BE features of Education, Health, Disused Buildings, and Oval, and on CMD-related emergency department admissions for the BE feature Accommodation. Incidence rate ratios (IRR’s) were greater, however, for the BE features Infrastructure Transport and Infrastructure Shelter. Geographic Isolation was associated with elevated mortality-related IRR’s. Multivariable regression did not yield consistent associations between BE features and CMD outcomes, other than negative relationships for Indigenous Location-level median age and Geographic Isolation. This study indicates that relationships between BE features and health outcomes in urban populations do not extend to remote Indigenous Australian communities. This may reflect an overwhelming impact of broader social inequity, limited correspondence of BE measures with remote-dwelling Indigenous contexts, or a ‘tipping point’ of collective BE influences affecting health more than singular BE features.

Association of Built Environmental Features with Rates of Infectious Diseases in Remote Indigenous Communities in the Northern Territory, Australia

The health of Indigenous Australians is far poorer than non-Indigenous Australians, including an excess burden of infectious diseases. The health effect of built environmental (BE) features on Indigenous communities receives little attention. This study’s objective was to determine associations between BE features and infectious disease incidence rates in remote Indigenous communities in the Northern Territory (NT), Australia. Remote Indigenous communities (n = 110) were spatially joined to 93 Indigenous Locations (ILOC). Outcomes data were extracted (NT Notifiable Diseases System) and expressed as ILOC-specific incidence rates. Counts of buildings were extracted from community asset maps and grouped by function. Age-adjusted infectious disease rates were dichotomised, and bivariate binomial regression used to determine the relationships between BE variables and infectious disease. Infrastructure Shelter BE features were universally associated with significantly elevated disease outcomes (relative risk 1.67 to 2.03). Significant associations were observed for Services, Arena, Community, Childcare, Oval, and Sports and recreation BE features. BE groupings associated with disease outcomes were those with communal and/or social design intent or use. Comparable BE groupings without this intent or use did not associate with disease outcomes. While discouraging use of communal BE features during infectious disease outbreaks is a conceptually valid countermeasure, communal activities have additional health benefits themselves, and infectious disease transmission could instead be reduced through repairs to infrastructure, and more infrastructure. This is the first study to examine these associations simultaneously in more than a handful of remote Indigenous communities to illustrate community-level rather than aggregated population-level associations.