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Life course-informed theories of development suggest it is important to integrate information about positive and negative aspects of the social environment into studies of child and parental wellbeing, including both stressors that compromise health and resources that promote well-being. We recruited a sample of 169 pairs of caregivers and young children (birth to 5 years) from a community health clinic and administered survey questions to assess stressors and resources. We constructed inventories of stressors and resources and examined the relationships between these inventories and caregivers' depressive symptoms, anxiety symptoms, and sleep problems, and young children's medical diagnoses derived from electronic health records. Cumulative stressors and resources displayed bivariate and adjusted associations with caregivers' depressive symptoms, anxiety symptoms, and sleep problems. For depressive and anxiety symptoms, these associations were evident in models that included stressors and resources together. Caregivers with high stressors and low resources displayed the highest levels of depressive and anxiety symptoms and sleep problems. In terms of children's health outcomes, only modest trends were evident for developmental/mental health outcomes, but not other diagnostic categories. Future studies are needed to examine stressors and resources together in larger samples and in relation to prospectively assessed measures of child well-being.

Methods for calculating health indicators profoundly influence understanding of and action on population health and inequities. Age-standardization can be useful and is commonly applied to account for differences in age structures when comparing health indicators across groups. Age-standardized rates have well-acknowledged limitations, including that they are relative indices for comparison, and not accurate measures of actual rates where the age structures of groups diverge. This paper explores these limitations, and demonstrates alternative approaches through a case study quantifying mortality rates within the Aboriginal and Torres Strait Islander (Indigenous) population of Australia and inequities compared with the non-Indigenous population, over 2001-16. Applying the Australian Standard Population, the Aboriginal and Torres Strait Islander age-standardized mortality rate was more than double the crude mortality rate in 2001 and 2016, inflated through high weighting of older age groups. Despite divergent population age structures, age-standardized mortality rates remain a key policy metric for measuring progress in reducing Indigenous-non-Indigenous inequities in Australia. Focusing on outcomes age-standardized to the total population can obscure inequities, and denies Aboriginal and Torres Strait Islander peoples and communities valid, actionable information about their health and well-being. Age-specific statistics convey the true magnitude of health risks and highlight high-risk subgroups. When requiring standardization, standardizing to a population-specific standard (here, an Indigenous standard) generates metrics centred around and reflective of reality for the population of focus, supporting communities' self-determination to identify priorities and informing resource allocation and service delivery. The principles outlined here apply across populations, including Indigenous and other populations internationally.

Discrimination has consistently been associated with multiple adverse health outcomes. Like other psychosocial stressors, discrimination is thought to impact health through stress-related physiologic pathways including hypothalamic-pituitary-adrenal (HPA) axis activation, dysregulation of inflammation responses, and accelerated cellular aging. Given growing attention to research examining the biological pathways through which discrimination becomes embodied, this systematic review and meta-analysis synthesizes empirical evidence examining relationships between self-reported discrimination and four biomarker outcomes (i.e., cortisol, C-reactive protein (CRP), interleukin-6 (IL-6), and telomere length) among studies that have used the Everyday Discrimination Scale. We conducted a systematic review of studies discussing self-reported, everyday, or chronic discrimination in the context of health by searching Medline / PubMed (National Library of Medicine, NCBI), PsycInfo (APA, Ebsco) and Web of Science Core Collection (Clarivate). Twenty-five articles met the criteria for meta-analysis, with several reporting on multiple outcomes. Discrimination was associated with elevated CRP levels (r = 0.11; 95% CI: 0.01, 0.20, k = 10), though not cortisol (r = 0.05; 95% CI: -0.06, 0.16, k = 9), IL-6 (r = 0.05; 95% CI: -0.32, 0.42, k = 5), or telomere length (r = 0.03; 95% CI: -0.01, 0.07, k = 6). We identify several points of consideration for future research including addressing heterogeneity in assessment of biomarker outcomes and the need for longitudinal assessments of relationships between discrimination and biomarker outcomes.

BACKGROUND: It is well established that racism is a fundamental contributor to poor health and inequities. There is consistent evidence of high exposure to discrimination among Aboriginal and Torres Strait Islander (Indigenous Australian) peoples, but impacts have not been fully quantified, in part due to limited measurement tools. We aim to validate instruments developed to measure interpersonal discrimination. METHODS: Instruments were discussed at five focus groups and with experts, and field tested in developing Mayi Kuwayu: The National Study of Aboriginal and Torres Strait Islander Wellbeing. Data from 7501 baseline survey participants were analysed. Acceptability was assessed according to extent of missingness, construct validity using exploratory and confirmatory factor analysis, and reliability using Cronbach's alpha. Associations between each instrument and outcomes conceptually understood to be closely (community-level racism) or less closely (family wellbeing) related were quantified to test convergent and discriminant validity. RESULTS: An 8-item instrument captures experiences of discrimination in everyday life and a 4-item instrument experiences in healthcare, each followed by a global attribution item. Item missingness was 2.2-3.7%. Half (55.4%) of participants reported experiencing any everyday discrimination, with 65.7% attributing the discrimination to Indigeneity; healthcare discrimination figures were 34.1% and 51.1%. Items were consistent with two distinct instruments, differentiating respondents with varying experiences of discrimination. Scales demonstrated very good reliability and convergent and divergent validity. CONCLUSION: These brief instruments demonstrate face validity and robust psychometric properties in measuring Aboriginal and Torres Strait Islander adults' experiences of interpersonal discrimination in everyday life and in healthcare. They can be used to quantify population-level experiences of discrimination, and associated wel

Discrimination is a fundamental determinant of health and health inequities. However, despite the high prevalence of discrimination exposure, there is limited evidence specific to Indigenous populations on the link between discrimination and health. This study employs a validated measure to quantify experiences of everyday discrimination in a national sample of Aboriginal and Torres Strait Islander (Australia's Indigenous peoples) adults surveyed from 2018 to 2020 (≥16 years, n = 8108). It quantifies Prevalence Ratios (PRs) and 95% Confidence Intervals (CIs) for wellbeing outcomes by level of discrimination exposure, and tests if associations vary by attribution of discrimination to Indigeneity. Of the participants, 41.5% reported no discrimination, 47.5% low, and 11.0% moderate-high. Discrimination was more commonly reported by younger versus older participants, females versus males, and those living in remote versus urban or regional areas. Discrimination was significantly associated in a dose-response manner, with measures of social and emotional wellbeing, culture and identity, health behaviour, and health outcomes. The strength of the association varied across outcomes, from a 10-20% increased prevalence for some outcomes (e.g., disconnection from culture (PR = 1.08; 95% CI: 1.03, 1.14), and high blood pressure (1.20; 1.09, 1.32)), to a five-fold prevalence of alcohol dependence (4.96; 3.64, 6.76), for those with moderate-high versus no discrimination exposure. The association was of consistent strength and direction whether attributed to Indigeneity or not-with three exceptions. Discrimination is associated with a broad range of poor wellbeing outcomes in this large-scale, national, diverse cohort of Aboriginal and Torres Strait Islander adults. These findings support the vast potential to improve Aboriginal and Torres Strait Islander peoples' wellbeing, and to reduce Indigenous-non-Indigenous inequities, by reducing exposure to discrimination.

OBJECTIVES: To evaluate the proportion of Parkinson's disease (PD) patients identified as having advanced Parkinson's disease (APD) according to physician's judgement in Australia. METHODS: This cross-sectional, non-interventional observational study was performed in movement disorder clinics from 18 countries. Results from Australia are presented. Participants included consecutive adults with PD attending routine clinical visits, or inpatients, who could speak English. The primary outcome was the proportion of patients diagnosed with APD via physician judgement. RESULTS: 100 patients were recruited in Australia: 61.0% (95% CI 51.4-70.6%) diagnosed with APD by physician judgement. Patients were 66.6 ± 8.5 years, 65% were male, were living at home (97%), and diagnosed with PD for median 10.7 years (0-30.5 years). Motor fluctuations were present in 68%. For those with APD, referral was predominantly to enable access to device assisted therapies (DAT) (49%), while for non-APD, referral was largely for diagnostic purposes (41%). Patients had a median follow-up at the movement disorder clinic of 4.8 years for those with APD, or 3.6 years for non-APD. While 62% were eligible for DAT, only two-thirds of these received them. The most commonly used DAT was deep brain stimulation (64.3%). There was fair agreement between physician's judgement and the APD criteria by Delphi method (Cohen's kappa) 0.325 (95% CI 0.150-0.500) in the Australian subset. CONCLUSIONS: The definition of APD requires refinement in order to facilitate greater agreement among movement disorder specialists. A third of APD patients eligible for DAT remain untreated. Better referral and education of patients with APD is needed.

OBJECTIVE: Exposure to early adversity carries long term harmful consequences for children's health and development. This study aims to 1) estimate the prevalence of childhood adversity for Australian children from infancy to 10-11 years, and 2) document inequalities in the distribution of adversity according to socioeconomic position (SEP), Indigenous status, and ethnicity. METHODS: Adversity was assessed every 2 years from 0-1 to 10-11 years in the nationally representative birth cohort of the Longitudinal Study of Australian Children (N = 5107). Adversity included legal problems; family violence; household mental illness; household substance abuse; harsh parenting; parental separation/divorce; unsafe neighborhood; family member death; and bullying (from 4 to 5 years). Adversities were examined individually and summed for a measure of multiple adversity (2+ adverse experiences). RESULTS: By 10-11 years, 52.8% (95% confidence interval [CI] 51.0-54.7) of children had been exposed to 2 or more adversities. When combined with low SEP, children from ethnic minority and from Indigenous backgrounds had 4 to 8 times the odds of exposure to 2 or more adversities than children from higher SEP Anglo-Euro backgrounds, respectively (odds ratio [OR] 4.3, 95% CI 2.8-6.6 and OR 8.1, 95% CI 4.4-14.8). Ethnic minority and Indigenous children from higher SEP backgrounds had increased odds of exposure to multiple adversity than similarly advantaged Anglo-Euro children (OR 1.8, 95% CI 1.4-2.3 and OR 2.3, 95% CI 1.3-4.3, respectively). CONCLUSIONS: Addressing early adversity is a significant opportunity to promote health over the life course, and reduce health inequalities experienced by marginalized groups of children.