Prevention initiatives during childhood and adolescence have great potential to address the health inequities experienced by Aboriginal and Torres Strait Islander (Indigenous) populations in Australia by targeting modifiable risk factors for cardio-metabolic diseases. We aimed to synthesize existing evidence about potential determinants of cardio-metabolic risk markers—obesity, elevated blood pressure, elevated blood glucose, abnormal lipids, or a clustering of these factors known as the metabolic syndrome (MetS)—for Indigenous children and adolescents. We systematically searched six databases for journal articles and three websites for relevant grey literature. Included articles (n = 47) reported associations between exposures (or interventions) and one or more of the risk markers among Indigenous participants aged 0–24 years. Data from 18 distinct studies about 41 exposure–outcome associations were synthesized (by outcome: obesity [n = 18]; blood pressure [n = 9]; glucose, insulin or diabetes [n = 4]; lipids [n = 5]; and MetS [n = 5]). Obesity was associated with each of the other cardio-metabolic risk markers. Larger birth size and higher area-level socioeconomic status were associated with obesity; the latter is opposite to what is observed in the non-Indigenous population. There were major gaps in the evidence for other risk markers, as well as by age group, geography, and exposure type. Screening for risk markers among those with obesity and culturally appropriate obesity prevention initiatives could reduce the burden of cardio-metabolic disease.

Cultural security is a key element of accessible services for Indigenous peoples globally, although few studies have examined this empirically. We explored the scope, reach, quality, and cultural security of health and social services available to Aboriginal and/or Torres Strait Islander families in Western Australia (WA), from the point of view of staff from the services. We recruited staff from health and social services for Aboriginal people in the Perth, Kalgoorlie, Great Southern, and South West regions of WA between December 2015 and September 2017 to complete online surveys. We examined the proportions of participants that responded saying the service was culturally secure, the reasons for the response, and perceived factors related to a high-quality service. Sixty participants from 21 services responded to the survey. Seventy-three percent stated the service was culturally secure; however, only 36% stated that the staff employed at the service had sufficient knowledge on cultural security. Participants suggested having Aboriginal staff and better cultural awareness training as methods to improve cultural security within the service. Participants highlighted that staffing, funding for resources, and patient financial difficulties in accessing care as key areas for quality improvement. Much greater effort is required in improving knowledge through on-going training of staff in the practice of culturally safe care. Organisations must also be required to meet specific standards in cultural safety.

Background In the ongoing debate on optimum methods for identification of Indigenous people within linked administrative data, few studies have examined the impacts of method on population counts and outcomes in family-based linkage studies of Aboriginal children. Objective To quantify differences between three validated algorithms in ascertaining Aboriginal and Torres Strait Islander children in linked administrative data. Methods Linked administrative health data for children born in WA from 2000-2013, were used to examine the cohorts identified by three methods: A) the Indigenous Status Flag (ISF, derived by the WA Data Linkage Branch using a multistage-median approach) for the children alone; B) the ISF of the children, their parents and grandparents; and C) Indigenous status of the child, mother or father on either of the child’s perinatal records (Midwives or birth registration), to determine differing characteristics of each cohort. Results Method B established a larger cohort (33,697) than Method C (33,510) and Method A (27,482), with all methods identifying a core group of 26,993 children (80-98%). Compared with children identified by Method A, additional children identified by Methods B or C, were from less-disadvantaged and more urban areas, and had better perinatal outcomes (e.g. lower proportions of small-for-gestational age, 10% vs 16%). Differences in demographics and health outcomes between Methods C and B were minimal. Conclusions Demographic and perinatal health characteristics differ by Indigenous identification method. Using perinatal records or the ISF of parents and grandparents (in addition to the ISF of the child) appear to be more inclusive methods for identifying young Indigenous children in administrative datasets.