Sampling approaches and geographic coverage in Mayi Kuwayu: the national study of Aboriginal and Torres Strait Islander wellbeing.

OBJECTIVE: The objective of this paper is to investigate the geographic distribution of participants in Mayi Kuwayu, the National Study of Aboriginal and Torres Strait Islander Wellbeing. The Mayi Kuwayu Study is the largest national longitudinal study of the health and wellbeing of Aboriginal and Torres Strait Islander adults (aged 16 years and over) in Australia. It is an Aboriginal-led and governed Study with embedded community engagement. The Study collects data through self-report questionnaires, using multiple sampling approaches: (1) a large-scale mail-out based on stratified random sampling; (2) convenience sampling; (3) snowball sampling; (4) voluntary sampling. A comparison of the geographic distribution of Mayi Kuwayu Study participants to that of the total Aboriginal and Torres Strait Islander population was also conducted. RESULTS: A total of 9,843 people participated in the Mayi Kuwayu Study baseline survey from 2018 to 2022. Participants resided in all Australian States and Territories. The geographic distribution of participants broadly matched the total population distribution, with participants generally located on the east and south-east coast of Australia. Apparent differences in the geographic distribution were identified by sex and age group.

Estimating population coverage of Tackling Indigenous Smoking teams, a placed-based health intervention in Australia.

OBJECTIVE: As part of the Tackling Indigenous Smoking (TIS) program, TIS teams provide Aboriginal and Torres Strait Islander-led tobacco control in their geographic area. We aimed to estimate the percentage and number of Aboriginal and Torres Strait Islander peoples living in an area serviced by a TIS team in 2018-19. METHODS: We analysed weighted, representative data from 8,048 Aboriginal and Torres Strait Islander people aged ≥10 years from the 2018-19 National Aboriginal and Torres Strait Islander Health Survey. TIS services mapping data were used to define areas served by TIS teams. Coverage was explored in relation to remoteness, program priority groups and sociodemographic characteristics. RESULTS: Around three-quarters (76.4%,95%CI:72.9-79.9) of the 2018-19 population aged ≥10 years lived in an area served by TIS teams (n=479,000). Coverage by TIS teams was generally similar across groups, with few exceptions. CONCLUSIONS: The recently announced expansion to national coverage would provide access to locally tailored tobacco control to a further 148,000 Aboriginal and Torres Strait Islander peoples aged ≥10 years, including 46,000 adults who currently smoke. IMPLICATIONS FOR PUBLIC HEALTH: Expansion to national TIS team coverage is a welcomed first step on the path to ensuring equitable access to tobacco control.

Population-level contribution of interpersonal discrimination to psychological distress among Australian Aboriginal and Torres Strait Islander adults, and to Indigenous-non-Indigenous inequities: cross-sectional analysis of a community-controlled First Nations cohort study.

BACKGROUND: International and population-specific evidence identifies elevated psychological distress prevalence among those experiencing interpersonal discrimination. We aim to quantify the potential whole-of-population contribution of interpersonal discrimination to psychological distress prevalence and Indigenous-non-Indigenous gaps in Australia. METHODS: We did a cross-sectional analysis of data from Mayi Kuwayu: the National Study of Aboriginal and Torres Strait Islander Wellbeing. Baseline surveys were completed between June 8, 2018, and Sept 28, 2022. We analysed responses from participants who were aged 18 years or older at survey completion, whose surveys were processed between Oct 1, 2018, and May 1, 2021. Sample weights were developed on the basis of national population benchmarks. We measured everyday discrimination using an eight-item measure modified from the Everyday Discrimination Scale and classified experiences as racial discrimination if participants attributed these experiences to their Indigeneity. Psychological distress was measured using a validated, modified Kessler-5 scale. Applying logistic regression, we calculated unadjusted odds ratios (ORs), to approximate incident rate ratios (IRRs), for high or very high psychological distress in relation to everyday discrimination and everyday racial discrimination across age-gender strata. Population attributable fractions (PAFs), under the hypothetical assumption that ORs represent causal relationships, were calculated using these ORs and population-level exposure prevalence. These PAFs were used to quantify the contribution of everyday racial discrimination to psychological distress gaps between Indigenous and non-Indigenous adults. FINDINGS: 9963 survey responses were eligible for inclusion in our study, of which we analysed 9951 (99·9%); 12 were excluded due to responders identifying as a gender other than man or woman (there were too few responses from this demographic to be included as a category in stratified tables or adjusted analyses). The overall prevalence of psychological distress was 48·3% (95% CI 47·0-49·6) in those experiencing everyday discrimination compared with 25·2% (23·8-26·6) in those experiencing no everyday discrimination (OR 2·77 [95% CI 2·52-3·04]) and psychological distress prevalence was 49·0% (95% CI 47·3-50·6) in those experiencing everyday racial discrimination and 31·8% (30·6-33·1) in those experiencing no everyday racial discrimination (OR 2·06 [95% CI 1·88-2·25]. Overall, 49·3% of the total psychological distress burden among Aboriginal and Torres Strait Islander adults could be attributable to everyday discrimination (39·4-58·8% across strata) and 27·1% to everyday racial discrimination. Everyday racial discrimination could explain 47·4% of the overall gap in psychological distress between Indigenous and non-Indigenous people (40·0-60·3% across strata). INTERPRETATION: Our findings show that interpersonal discrimination might contribute substantially to psychological distress among Aboriginal and Torres Strait Islander adults, and to inequities compared with non-Indigenous adults. Estimated PAFs include contributions from social and health disadvantage, reflecting contributions from structural racism. Although not providing strictly conclusive evidence of causality, this evidence is sufficient to indicate the psychological harm of interpersonal discrimination. Findings add weight to imperatives to combat discrimination and structural racism at its core. Urgent individual and policy action is required of non-Indigenous people and colonial structures, directed by Aboriginal and Torres Strait Islander peoples. FUNDING: National Health and Medical Research Council of Australia, Ian Potter Foundation, Australian Research Council, US National Institutes of Health, and Sierra Foundation.

Developing Aboriginal and Torres Strait Islander cultural indicators: an overview from Mayi Kuwayu, the National Study of Aboriginal and Torres Strait Islander Wellbeing.

BACKGROUND: For Aboriginal and Torres Strait Islander peoples, culture is foundational to health and wellbeing. However, its inherent conceptual complexity and diversity across and within different Aboriginal and Torres Strait Islander cultural groups means that it has rarely been explored in depth by epidemiological research. As a result, there are very few measures which adequately represent the heterogeneity and importance of Aboriginal and Torres Strait Islander cultures for health and wellbeing. Tools grounded in the social determinants of health are mostly based on European academic opinion about what constitutes culture and wellbeing, and the views of Indigenous peoples are rarely included. Mayi Kuwayu, the National Study of Aboriginal and Torres Strait Islander Wellbeing, developed a new survey tool based on health and wellbeing as perceived by Aboriginal and Torres Strait Islander people. This paper describes several of the key processes used to identify cultural domains and develop questionnaire items for the survey tool, reflecting the importance of culture to Aboriginal and Torres Strait Islander peoples. METHODS: Focus groups were conducted at community organisations and conferences with Aboriginal and Torres Strait Islander people. These sessions were aimed at identifying key cultural domains to be addressed by the Mayi Kuwayu questionnaire and to field test drafts of the questionnaire, which were then modified according to focus group feedback and expert input. RESULTS: Extensive community consultations allowed us to identify key cultural domains, generate questionnaire items, and test initial content validity. The six overarching cultural domains identified during the development of the Mayi Kuwayu questionnaire were: Connection to Country; Beliefs and knowledge; Language; Family, kinship, and community; Cultural expression and continuity; and Self-determination and leadership. CONCLUSIONS: The processes used by Mayi Kuwayu have generated meaningful cultural items for use in Aboriginal and Torres Strait Islander health and wellbeing research. Further assessment of these processes, including a comparison with best practice guidelines and psychometric testing of the items and scales developed, will be conducted in a future program of work.

Clearing the air: underestimation of youth smoking prevalence associated with proxy-reporting compared to youth self-report.

BACKGROUND: Smoking remains a leading cause of disease burden globally. Declining youth smoking prevalence is an essential feature of effective tobacco control; however, accurate data are required to assess progress. This study investigates bias in youth smoking prevalence estimates by respondent type (proxy-reported, self-report with parent present, or self-report independently) for Aboriginal and Torres Strait Islander and total populations of Australia. METHODS: Repeated cross-sectional analysis of representative Aboriginal and Torres Strait Islander Health and National Health Surveys, 2007-2019. Data were restricted to participants aged 15-17 years. Prevalence ratios (PR) and 95% Confidence Intervals (CI) for ever-smoking by respondent type were calculated using Poisson regression with robust standard errors. National youth current-smoking prevalence was estimated if all data were collected by youth self-report; estimates and trends were compared to observed estimates. RESULTS: Over 75% of all smoking status data were reported by proxy or with parent present. Ever-smoking prevalence among youth self-reporting independently versus proxy-reported was 1.29 (95% CI:0.96-1.73) to 1.99 (95% CI:1.39-2.85) times as high for Aboriginal and Torres Strait Islander youth, and 1.83 (95% CI:0.92-3.63) to 2.72 (95% CI:1.68-4.41) times as high for total population youth. Across surveys, predicted national current-smoking prevalence if all youth self-reported independently was generally higher than observed estimate. CONCLUSIONS: Estimates of youth smoking prevalence are likely inaccurate and underestimated if data are collected by proxy or with parent present. Increased reliance on data reported by youth independently is crucial to improve data accuracy, including to enable accurate assessment of national prevalence.

Reflection on modern methods: statistical, policy and ethical implications of using age-standardized health indicators to quantify inequities.

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.

Measuring Positive Childhood Experiences: Testing the Structural and Predictive Validity of the Health Outcomes From Positive Experiences (HOPE) Framework.

OBJECTIVE: Positive childhood experiences (PCEs), that occur within secure and nurturing social environments, are fundamental to healthy physical, social-emotional, and cognitive development. However, reliable measures of these experiences are not yet widely available. We used data from the Longitudinal Study of Australian Children (LSAC) to empirically represent and psychometrically evaluate 3 primary domains of PCEs defined within the Health Outcomes from Positive Experiences (HOPE) framework, specifically: 1) nurturing and supportive relationships; 2) safe and protective environments and; 3) constructive social engagement and connectedness. METHODS: LSAC is a nationally representative cohort that has followed young Australians from birth since 2004. LSAC data were used to represent the 3 primary HOPE-PCEs domains (birth to 11 years) across 4 inter-related PCEs constructs: 1) positive parenting, 2) trusting and supportive relationships, 3) supportive neighborhood and home learning environments, and 4) social engagement and enjoyment. Confirmatory factor analysis was used to test the proposed 4-factor structure. Predictive validity was examined through associations with mental health problems and academic difficulties at 14 to 15 years. RESULTS: The 4-factor structure was supported by empirical data at each time point. Higher exposure to PCEs across each domain was associated with lower reporting of mental health problems (ß = -0.20 to -2.05) and academic difficulties (ß = -0.01 to -0.13) in adolescence. CONCLUSIONS: The 4 LSAC-based HOPE-PCEs have sufficient internal coherence and predictive validity to offer a potentially useful way of conceptualizing and measuring PCEs in future cohort studies and intervention trials aiming to enhance the understanding of, and mitigate the negative impacts of, adverse childhood experiences.

Markers of chronic disease risk in a cohort of Aboriginal children: findings from the Study of Environment on Aboriginal Resilience and Child Health (SEARCH).

OBJECTIVE: This study investigated chronic disease risk markers among a cohort of Aboriginal children in New South Wales. METHODS: Distributions of body mass index (BMI), blood lipids and haemoglobin A1c (HbA1c) among Aboriginal children aged 5-<19 years were investigated. Prevalence ratios (PR) were calculated for borderline/high total cholesterol, low-density lipoprotein (LDL) cholesterol and HbA1c, and low high-density lipoprotein (HDL) cholesterol, by age group, sex and BMI. RESULTS: Almost half (46.8%) of the cohort, had a normal BMI and 53.3% had overweight or obesity. Prevalence of chronic disease risk markers was low, with no individuals having high total cholesterol (0.0%) and few having high LDL (3.0%) or borderline/high HbA1c (2.6%); 85.5% of the cohort had normal HDL. There was no significant variation in the prevalence of chronic disease risk markers by age group or sex. The prevalence of borderline total cholesterol was 28% higher (PR 1.28, 95%CI 1.06-1.54), and the prevalence of low HDL was double (2.00, 1.19-3.35) for participants with obesity versus normal BMI. CONCLUSIONS: Dyslipidaemia and elevated HbA1c prevalence was low in the cohort, increasing with high BMI. Overweight and obesity were common, which increase the risk of developing chronic disease later in life. Implications for public health: Findings indicate few Aboriginal children have dyslipidaemia and hyperglycaemia, supporting screening for chronic disease risk factors from 18 years of age. Opportunities to reduce overweight and obesity among children should be considered to decrease the future risk of chronic disease.

Tobacco Related Attitudes and Behaviours in Relation to Exposure to the Tackling Indigenous Smoking Program: Evidence from the Mayi Kuwayu Study.

Smoking is the leading contributor to the burden of disease and mortality for Aboriginal and Torres Strait Islander peoples, with an estimated 37% of all Aboriginal and Torres Strait Islander deaths attributed to smoking. The Tackling Indigenous Smoking (TIS) program was implemented to support people to quit smoking, prevent initiation, and reduce exposure to second-hand smoke. Analysis of baseline (2018-2020) data from a large-scale cohort study was conducted to quantify smoking-related attitudes and behaviours among Aboriginal and Torres Strait Islander adults, overall and in relation to exposure to the TIS program. Most results were similar for TIS and non-TIS, but there was a significantly lower prevalence of smoking inside households (PR0.85; 95% CI: 0.74, 0.97), smoking ≥21 cigarettes per day (PR0.79; 95% CI: 0.62, <1.00), and smoking a first cigarette within 5 min of waking (PR0.87; 95% CI: 0.76, <1.00) in TIS-funded compared to non-TIS-funded areas. Findings from the analysis highlight encouraging anti-smoking attitudes and behaviours across TIS-funded and non-TIS-funded areas, and serve as a basis for future analysis of change in outcomes over time associated with exposure to a large multi-mode population health program (TIS).

Risk of severe illness from COVID-19 among Aboriginal and Torres Strait Islander adults: the construct of 'vulnerable populations' obscures the root causes of health inequities.

OBJECTIVE: To quantify the prevalence of known health-related risk factors for severe COVID-19 illness among Aboriginal and Torres Strait Islander adults, and their relationship with social determinants. METHODS: Weighted cross-sectional analysis of the 2018-19 National Aboriginal and Torres Strait Islander Health Survey; Odds Ratios for cumulative risk count category (0, 1, or ≥2 health-related risk factors) by social factors calculated using ordered logistic regression. RESULTS: Of the adult population, 42.9%(95%CI:40.6,45.2) had none of the examined health-related risk factors; 38.9%(36.6,41.1) had 1, and 18.2%(16.7,19.7) had ≥2. Adults experiencing relative advantage across social indicators had significantly lower cumulative risk counts, with 30-70% lower odds of being in a higher risk category. CONCLUSIONS: Aboriginal and Torres Strait Islander peoples must continue to be recognised as a priority population in all stages of pandemic preparedness and response as they have disproportionate exposure to social factors associated with risk of severe COVID-19 illness. Indigeneity itself is not a 'risk' factor and must be viewed in the wider context of inequities that impact health Implications for public health: Multi-sectoral responses are required to improve health during and after the COVID-19 pandemic that: enable self-determination; improve incomes, safety, food security and culturally-safe healthcare; and address discrimination and trauma.

Prevalence of Everyday Discrimination and Relation with Wellbeing among Aboriginal and Torres Strait Islander Adults in Australia.

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.

Reliability, validity, and clinical utility of a culturally modified Kessler scale (MK-K5) in the Aboriginal and Torres Strait Islander population.

BACKGROUND: Aboriginal and Torres Strait Islander peoples are the first people of Australia. Consequences of historic and contemporary settler-colonialism including racism, trauma, grief and loss (of land, culture, spirituality, and freedoms) have led to substantial negative health and wellbeing impacts. The Kessler Psychological Distress Scales are population and individual-level tools designed to measure general psychological health status. There has been limited assessment of the psychometric properties and validity of the Kessler Psychological Distress Scale for use with the Aboriginal and Torres Strait Islander population in Australia, despite its widespread use. METHODS: A national sample of Aboriginal and Torres Strait Islander adults (n = 6988 ≥ 16 years) was used in the psychometric assessment of the MK-K5, which involved face validity, acceptability, internal consistency/reliability, construct validity, and convergent and divergent validity testing. Receiver Operator Characteristics (ROC) curves were produced to assess clinical utility for depression and anxiety screening. RESULTS: The MK-K5 demonstrated face validity for psychological distress in two focus groups, and had good acceptability, good internal consistency/reliability (α = 0.89), good construct validity (uni-dimensional; one underlying component explaining 70.1% of variance), and demonstrated convergent and divergent validity in the sample. The MK-K5 had good clinical utility at a cut-off score of 11 for detecting ever being diagnosed with depression or anxiety. CONCLUSIONS: The MK-K5 is a valid measure of psychological distress and has clinical utility in the Aboriginal and Torres Strait Islander population.

Developing and validating measures of self-reported everyday and healthcare discrimination for Aboriginal and Torres Strait Islander adults.

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 wellbeing consequences, and monitor change.

Tobacco smoking and mortality among Aboriginal and Torres Strait Islander adults in Australia.

BACKGROUND: Despite generally high smoking prevalences, stemming from colonization, the relationship of smoking to mortality has not been quantified reliably in an Indigenous population. We investigate smoking and mortality among Aboriginal and Torres Strait Islander adults in Australia, where current adult daily smoking prevalence is 40.2%. METHODS: A prospective study of 1388 cardiovascular disease- and cancer-free Aboriginal adults aged ≥45 years, of the 267 153 45 and Up Study participants randomly sampled from the New South Wales general population over 2006-09. Questionnaire and mortality data were linked (through the Centre for Health Record Linkage) to mid-2019. Adjusted hazard ratios (called relative risks, RRs) for all-cause mortality-among current- and past- versus never-smokers-were estimated overall, by smoking intensity and by age at cessation. Smoking-attributable fractions and associated deaths were estimated. RESULTS: Over 14 586 person-years' follow-up (median 10.6 years), 162 deaths accrued. Mortality RRs [95% confidence interval (CI)] were 3.90 (2.52-6.04) for current- and 1.95 (1.32-2.90) for past- versus never-smokers, with age heterogeneity. RRs increased with smoking intensity, to 4.29 (2.15-8.57) in current-smokers of ≥25 cigarettes/day. Compared with never-smokers, RRs were 1.48 (0.85-2.57) for those quitting at <45 years of age and 2.21 (1.29-3.80) at 45-54 years. Never-smokers lived an average >10 years longer than current-smokers. Around half of deaths among adults aged ≥45 years were attributable to smoking, exceeding 10 000 deaths in the past decade. CONCLUSIONS: In this population, >80% of never-smokers would survive to 75 years, versus ∼40% of current-smokers. Quitting at all ages examined had substantial benefits versus continuing smoking; those quitting before age 45 years had mortality risks similar to never-smokers. Smoking causes half of deaths in older Aboriginal and Torres Strait Islander adults; Indigenous tobacco control must receive increased priority.

Staying smoke-free: Factors associated with nonsmoking among urban Aboriginal adolescents in the Study of Environment on Aboriginal Resilience and Child Health (SEARCH).

ISSUE ADDRESSED: To examine the factors associated with preventing regular smoking among Aboriginal adolescents. METHODS: Cross-sectional analysis of data from 106 Aboriginal adolescents aged 12-17 years, and their caregivers, from four Aboriginal Community Controlled Health Services in urban New South Wales, 2008-2012. The relation of individual, social, environmental and cultural factors to having 'never' smoked tobacco regularly was examined using Poisson regression. RESULTS: Overall, 83% of adolescents had never smoked regularly; 13 reported current and five past smoking. Most lived in smoke-free homes (60%) despite 75% reporting at least one current smoker caregiver. Participants were significantly more likely to have never smoked regularly if they had good mental health (PR = 1.4, 95% CI: 1.1-1.9), their mother as their primary caregiver (1.3, 1.0-1.6), good family relationships (1.2, 1.0-1.5), stable housing (1.3, 1.1-1.7), had never used alcohol (1.8, 1.3-2.4), were not sexually active (3.1, 1.3- 7.2) and had no criminal justice interactions (1.8, 1.2-2.8). CONCLUSIONS: Most participants lived in smoke-free homes and the vast majority had never smoked regularly. Promoting good mental health and strengthening social connections may be protective against smoking as those experiencing less social disruption were more likely to have never smoked regularly. Smoking may be an indicator of psychosocial conditions and a prompt for screening and simultaneous treatment. SO WHAT?: Organisations should be resourced to deliver holistic adolescent health promotion programs. Programs and policies should support positive family relationships and stable housing as this may protect against the uptake of regular smoking.

Evaluating Impacts of a One Health Approach to Companion Animal Health and Management in a Remote Aboriginal Community in the Northern Territory, Australia.

This study evaluated a community-driven animal health and management program in the remote community of Wadeye, Northern Territory. This evaluation used a pre-post design to assess changes in animal and human health outcomes over a 12-month period of program implementation, from June 2018 to June 2019. The evaluation assessed the program by comparing animal health outcomes before versus one year after program implementation and comparing human health outcomes before versus during the first 12 months of the program. Outcome measures included the desexing status of dogs and cats, body condition and hair score of dogs, and rates of people presenting to the health clinic for a dog bite. Animal health outcomes significantly improved after program implementation. From pre to post program, there was a 77% increase in the prevalence of good body condition score among dogs and a 9% increase in the prevalence of good hair score among dogs, and the prevalence of desexed dogs and cats more than doubled. There was no significant change in the number of people presenting to the health clinic for a dog bite. Consideration on how to further incorporate human and environmental health aspects into the program could be useful for future One Health programs.

Strengths-based approaches for quantitative data analysis: A case study using the australian Longitudinal Study of Indigenous Children.

In Australia and internationally, there are increasing calls for the use of strengths-based methodologies, to counter the dominant deficit discourse that pervades research, policy, and media relating to Indigenous health and wellbeing. However, there is an absence of literature on the practical application of strengths-based approaches to quantitative research. This paper describes and empirically evaluates a set of strategies to support strengths-based quantitative analysis. A case study about Aboriginal and Torres Strait Islander child wellbeing was used to demonstrate approaches to support strengths-based quantitative analysis, in comparison to the dominant deficit approach of identifying risk factors associated with a negative outcome. Data from Wave 8 (2015) of the Australian Longitudinal Study of Indigenous Children were analysed. The Protective Factors Approach is intended to enable identification of factors protective against a negative outcome, and the Positive Outcome Approach is intended to enable identification of factors associated with a positive health outcome. We compared exposure-outcome associations (prevalence ratios and 95% confidence intervals (CIs), calculated using Poisson regression with robust variance) between the strengths-based and deficit approaches. In this case study, application of the strengths-based approaches retains the identification of statistically significant exposure-outcome associations seen with the standard deficit approach. Strengths-based approaches can enable a more positive story to be told, without altering statistical rigour. For Indigenous research, a strengths-based approach better reflects community values and principles, and it is more likely to support positive change than standard pathogenic models. Further research is required to explore the generalisability of these findings.

Sugar-sweetened beverage consumption among Indigenous Australian children aged 0-3 years and association with sociodemographic, life circumstances and health factors.

OBJECTIVE: To explore beverage intake and associations between sugar-sweetened beverage (SSB) intake and sociodemographic, life circumstances, health and well-being factors in a national cohort of Indigenous children. DESIGN: We calculated prevalence ratios for any SSB consumption across exposures, using multilevel Poisson regression (robust variance), adjusted for age group and remoteness. A key informant focus group contextualised these exploratory findings. SETTING: Diverse settings across Australia. PARTICIPANTS: Families of Indigenous children aged 0-3 years, in the Longitudinal Study of Indigenous Children. RESULTS: Half (50·7 %, n 473/933) of children had ever consumed SSB at survey, increasing from 29·3 % of 0-12-month-olds to 65·7 % of 18-36-month-olds. SSB consumption prevalence was significantly lower in urban and regional v. remote areas, and in families experiencing socio-economic advantage (area-level advantage, caregiver employed, financial security), better life circumstances (caregiver social support, limited exposure to stressors) and caregiver well-being (non-smoking, social and emotional well-being, physical health). SSB consumption prevalence was significantly lower among those engaged with health services (adequate health-service access, regular prenatal check-ups), except SSB consumption prevalence was higher among those who received home visits from an Aboriginal Health Worker compared with no home visits. Key informants highlighted the role of water quality/safety on SSB consumption. CONCLUSIONS: A substantial proportion of Indigenous children in this sample consumed SSB from an early age. Health provider information needs to be relevant to the context of families' lives. Health system strategies must be paired with upstream strategies, such as holistic support programmes for families, reducing racism and improving water quality.

Assessing the Role of Health Behaviors, Socioeconomic Status, and Cumulative Stress for Racial/Ethnic Disparities in Obesity.

OBJECTIVE: This study aimed to examine the explanatory role of health behaviors, socioeconomic position (SEP), and psychosocial stressors on racial/ethnic obesity disparities in a multiethnic and multiracial sample of adults. METHODS: Using data from the Chicago Community Adult Health Study (2001-2003), Oaxaca-Blinder decomposition analysis was conducted to quantify the extent to which health behaviors (fruit and vegetable consumption and physical activity), SEP, and cumulative stressors (e.g., perceived discrimination, financial strain) each explained differences in obesity prevalence in Black, US-born Hispanic, and non-US-born Hispanic compared with non-Hispanic White participants. RESULTS: SEP and health behaviors did not explain obesity differences between racial/ethnic minorities and White individuals. Having high levels of stress in four or more domains explained 4.46% of the differences between Black and White individuals, whereas having high levels of stress in three domains significantly explained 14.13% of differences between US-born Hispanic and White. Together, the predictors explained less than 20% of differences between any racial/ethnic minority group and White individuals. CONCLUSIONS: Exposure to stressors may play a role in obesity disparities, particularly among Black and US-born Hispanic individuals. Other obesity-related risk factors need to be examined to understand the underlying mechanisms explaining obesity disparities.