Introduction

The prevalence of mental disorders and substance use disorders (MSDs) in Aboriginal and Torres Strait Islander peoples of Australia (henceforth respectfully referred to as Indigenous Australians) is a complex and multifaceted issue that is influenced by many social, cultural, and historical factors [1], [2]. There is evidence to suggest that Indigenous Australians face elevated levels of psychological distress, are more susceptible to MSDs, and are more likely to access community mental health services compared to the general population [3,4,5]. These health disparities are commonly accepted as stemming from traditional socioeconomic factors that affect the general population, as well as compounding cultural and historical factors that are specific to Indigenous Australian communities [6,7,8]. These relate to ongoing impacts of colonisation, which manifest in ongoing experiences of subjugation, marginalization, discrimination, and disrupted connections to identity, health, and overall well-being [7, 9].

National data (2004-05 National Health Survey and the 2004-05 and 2012-13 National Aboriginal and Torres Strait Islander Health Survey), has found a significant association between elevated psychological distress and a range of sociodemographic variables in Indigenous Australians. Being female, socioeconomic factors (including lower education levels, unemployment, lower income, and overall area-level disadvantage in non-remote regions), and cultural factors (including experiences of racism and a history of family removal) were associated with experiencing high/very high levels of psychological distress [6, 8]. Similar associations with socioeconomic factors, education, disconnection from culture or community, and interpersonal violence have been found in First Nations populations of comparable OECD countries [10,11,12,13,14]. Importantly, the literature also presents evidence of the converse pattern. Studies have consistently shown that factors such as connection to community, language, and spirituality have predictive value for positive mental health outcomes [11]. In Australia and New Zealand, research has demonstrated that maintaining a strong connection to Indigenous culture and residing in areas with a high ethnic density serve as protective factors against mental disorders by fostering resilience and well-being. Even in the face of significant socioeconomic challenges, these factors have been found to mitigate psychological distress [15].

Outside of correlates of wellbeing and psychological distress, there are notably fewer research studies investigating correlates of MSDs (such as major depressive disorder (MDD), generalised anxiety disorder (GAD) or post-traumatic stress disorder (PTSD)) and their prevalence for Indigenous Australians. To date, two studies have explored the relationship between sociodemographic variables (including sex, age, location (urban, regional etc.), income, marital status, and accommodation) and MSD prevalence. Both studies found the only significant predictor of mental disorder to be residential location, but the direction of the findings were mixed. Urban locations were a protective factor against current major depressive disorder for older adults in one study [16], while the other found that residing in a remote/very remote location was protective against any MSD, any mood disorder, any anxiety disorder and any substance disorder across the lifetime [17]. Other research in Australia and New Zealand has demonstrated that maintaining a strong connection to Indigenous culture and residing in areas with a high ethnic density serve as protective factors against some MSDs by fostering resilience and well-being [15].

Aim

The Queensland Urban Indigenous Mental Health Survey (QUIMHS) was conducted in 2022 and aimed to address the lack of representative population-based epidemiological data on MSDs in Indigenous Australian samples [18]. It undertook a co-design process with Indigenous Australian stakeholders to develop its survey methodology and adapt the instrumentation for use within an urban Indigenous sample in Southeast Queensland (SEQ). Findings identified that 46.5% of the sampled population had experienced a mental disorder or harmful substance use within the 12 months prior. The most prevalent disorders were major depressive episodes and post-traumatic stress disorder, at 24.6% and 19.9% of the sample, respectively. The study also found that 45.8% of the sample reported high or very high psychological distress [18]. This research paper will use the data from the QUIMHS data to identify and explore the socioeconomic and cultural correlates of psychological distress and specific MSDs respectively in an urban Indigenous Australian sample. Understanding the correlates of both psychological distress and MSDs can add to our understanding about whether these factors differ by the type of psychological presentation and better inform service planning and public health initiatives.

There are a few points of importance to acknowledge when seeking to add to the knowledge base. First, Indigenous Australians and those working within community already have a thorough understanding and lived experience of the factors associated with presentations of psychological distress and mental disorder. The intent of this paper is not to subvert this valuable source of data or to add ‘novel’ findings; rather, it is to support, supplement and corroborate what is already known using rigorous epidemiological methods. Second, although it may be argued that identifying the correlates of specific common mental disorders and psychological distress within Indigenous Australians is reinforcing a deficits narrative, it also holds potential to inform service planners and providers of factors that promote health and wellbeing and may be of use when designing public health and health promotion initiatives.

Methods

Data source

Data collection for the QUIMHS survey was conducted between February and October of 2022. Ethics approval for the QUIMHS Survey was provided by the Townsville Health Services HREC (HREC/2020/QTHS/61,158) and was ratified by UQ HREC. Study methods were co-designed with Indigenous Australian stakeholders and community participants and are reported in full elsewhere [18]. Seven trained Indigenous Australian interviewers administered structured face to face or video interviews with participants. Survey participants were recruited using a mixed-methods sampling strategy, comprised of randomised household sampling and snowball convenience sampling across key locations in SEQ. The final sample consisted of 406 Indigenous Australians aged between 18 and 89 years.

Survey Instrument

The QUIMHS survey instrument included: (a) A measure of psychological distress in the past 30 days, using the Kessler Psychological Distress Scale adapted for use with Indigenous Australian peoples (Kessler-5) [8], (b) a standardised diagnostic instrument, the Composite International Diagnostic Interview (CIDI 3.0) [19], that produced estimates of mental disorder prevalence and severity, specifically, major depressive disorder, generalised anxiety disorder, and post-traumatic stress disorder in the past 12 months and lifetime (see Table 1), and (c) a custom substance use screening module developed in reference to the CIDI 3.0, the AUDIT [20] and the Severity of Dependence Scale [21] that collected information on harmful substance use and indications of probable dependence (see supplementary information, Table 6 for a list of included disorders). Although the CIDI 3.0 is not yet validated for use in Indigenous Australian populations, it is used widely in population surveys nationally, globally and has been used in an Indigenous Queensland population in custody [22]. As such it best allowed for comparison of prevalence data. The QUIMHS pilot study specifically focused on assessing the appropriateness and accuracy of the CIDI 3.0 for use with Indigenous Australians, and those methods and results are reported in more detail elsewhere [18, 23]. The QUIMHS instrument also included some qualitative response options to allow participants to respond verbatim when the standardised response options did not adequately reflect their experience. The four items relevant to this research paper are detailed in the supplementary information, Table 7. More information about the QUIMHS survey instrument and research methods are described in detail elsewhere [18].

Sociodemographic and cultural factors

The QUIMHS survey instrument gathered a range of data on participants’ demographic, socioeconomic and cultural factors. The variables of interest, their definitions, and response options are listed below in Table 1.

Table 1 Sociodemographic and cultural factors included in the QUIMHS survey

Analysis

Analyses were performed using R software, version 4.2.2 [24]. A series of univariate logistic regressions investigated associations between selected sociodemographic and cultural variables (independent variables), with (1) measures of high/very high psychological distress and (2) 12-month and lifetime mental disorder diagnoses and harmful substance use (dependent variables). The svyglm function within the survey package was used to accommodate for the design of the survey [25]. Data were weighted by location (Local Government Areas), age, and sex using the distribution of Indigenous Australians within each respective age-sex-location group reported in the 2021 Australian Census. To facilitate data exploration and improve sample sizes, some variable response options were aggregated into broader levels. For example, the item: “I am proud to identify myself to others as an Aboriginal and/or Torres Strait Islander Person”, had five response options aggregated into two categories of never/rarely/sometimes vs. often/always. Where variables encompassed multiple response categories, a reference group was designated for comparison; on most occasions, this was the most normative or common response option. The regression analyses produced odds ratios (OR), interpreted as the likelihood of having either elevated psychological distress or a mental disorder or harmful substance use across various levels of a given sociodemographic variable. T-tests were conducted to explore the relationship between the “cultural connection” composite score and those who did/did not meet criteria for a mental disorder or harmful substance use. Analyses were applied universally across both sex and all age groups, primarily due to constraints in sample size and statistical power, maximising our ability to detect statistically significant effects across age and sex. All outputs were reported with 95% confidence intervals (CI) and p-values where applicable.

Qualitative comments were selected to display alongside the quantitative results to add participant perspectives and richness to the data where possible. This was done in a supplemental manner as there were insufficient comments relating to the sociodemographic and cultural variables of interest to warrant a more comprehensive qualitative analysis. A summary of the qualitative responses relevant to this paper can be found in the supplementary information, Table 7.

Results

Sample characteristics

The total sample consisted of 406 participants, with 72.2% females and 27.3% male. The average age of participants was 42.1 years. Most participants self-identified as Aboriginal (92.4%), with some identifying as both Aboriginal and Torres Strait Islander (5.2%), and 2.5% identified solely as Torres Strait Islander. Table 2 presents the total sample counts, accompanied by unweighted percentages, categorised by various socio-demographic characteristics. More information about the QUIMHS sample is detailed elsewhere [18].

Table 2 Sample socio-demographic characteristics

Correlates of psychological distress

Sociodemographic correlates

Correlates of psychological distress are presented in Table 3. Participants experiencing financial distress were between 3 and 4 times more likely to experience high or very high psychological distress in the past 30 days (as measured by the Kessler-5). This included those who were unable to pay their bills (OR = 3.1, [95% CI: 1.9–5.2]), unable to afford groceries (OR = 4.4, [95% CI: 2.4–7.8]), and had to seek welfare payments (OR = 3.0, [95% CI: 1.8–4.9]). In qualitative comments, some participants identified “financial issues” and “finances” as precipitators of poor psychological health, but also barriers to treatment. Those who were unemployed were over twice as likely to experience high or very high psychological distress in the past 30 days (OR = 2.2, [95% CI: 1.2–4.1]). Trends suggested that those with without tertiary qualifications (OR = 1.3, [95% CI: 0.8-2.0]), those sleeping rough (OR = 3.4, [95% CI: 0.6–18.1]), and those who had a history of incarceration (OR = 1.3, [95% CI: 0.6–3.2]) were likely to experience more psychological distress, however these did not reach significance.

Cultural correlates

Those who did not consider a certain place to be their Country or were unsure of their Country were 2 times more likely to have experienced high or very high psychological distress in the past 30 days (OR = 2.0, [95% CI: 1.1–3.5]). When asked about strategies to cope with mental health, some participants mentioned country: “Cultural connection to country is the best way,” and “There are a lot of young people out there that don’t have connection to country or know about the importance or the help it can do for you.” Trends also suggested that those who did not know who their mob is were more likely to experience psychological distress. Participants that reported they sometimes, rarely or never felt a sense of connection and belonging (OR = 3.4, [95% CI: 2.0–6.0]), participated in community events (OR = 2.1, [95% CI: 1.3–3.4]), and felt empowered and strong to make positive choices (OR = 4.8, [95% CI: 2.4–9.6]), were up to 4 times more likely to have experienced high or very high psychological distress. In qualitative comments, some participants indicated the role of community when seeking help for their mental health, such as “talking to other people in community,” and “I attend a men’s group… he’s an Islander fella and he brings in culture.”

Table 3 Sociodemographic and cultural correlates of psychological distress

The composite “cultural connection” score was also correlated with K5 scores, where higher scores represented higher levels of psychological distress. There was a moderate correlation (r = 0.369, p < 0.05) between the two variables, indicating that lower levels of cultural connection were associated with higher levels of psychological distress.

Correlates of mental disorders and harmful substance use in the last 12 months

Sociodemographic correlates

The 12-month correlate results are presented in Table 4 for mental disorders and harmful substance use aggregates and at the disorder level in the supplementary information (Table 8). Single people were 2.4 times as likely to experience harmful substance use than those married, in de facto or partnered relationships (OR = 2.4 [CI: 1.2–5.1]), with a similar trend for those divorced, separated or widowed. Those indicating their current living situation as sleeping rough or experiencing homelessness were 5.5 times more likely to have a mental disorder or harmful substance use (OR = 5.5 [CI: 1.1–27.7]), compared with individuals who were renting. Those experiencing some form of financial stress during the previous year were 2 times as likely to have experienced any mental disorder or harmful substance use in the same period, which included, those unable to pay bills (OR = 2.0 [CI: 1.2–3.3]), afford groceries (OR = 2.0 [CI: 1.2–3.4]), seeking assistance from welfare (OR = 2.1 [CI: 1.2–3.3]), or financial assistance from family (OR = 2.1 [CI: 1.3–3.3]). At the disorder level, patterns largely followed trends presented for the aggregate group (see supplementary information, Table 8). Notably, respondents who were unemployed were almost 2 times as likely to have a major depressive episode in the last 12 months (OR = 1.9 [CI: 1.0-3.6] and those on government payments were 7 times more likely to have indications of probable illicit drug dependence (OR = 7.3 [CI: 1.3–41.8]) compared to those in paid employment. Individuals who had a history of incarceration, either as youth or adults, were almost 5 times more likely to have any harmful substance use (OR = 4.8 [CI: 1.8–12.7]) and probable illicit drug dependence (OR = 31.6 [CI: 6.7-148.2]) in the past 12 months compared to those without a history of incarceration. Some participant comments on precipitators of poor psychological health reflected these findings. One participant stated: “Prices in real estate and everything else has gone up so much, I can’t afford anything or find anywhere to live… [there’s a] possibility of losing my home and kids.” Another participant reported: “I became homeless, separated from my partner… I was couch surfing and sleeping in my car.” One comment stated: “Wrongful incarceration.” Results looking at tertiary education were mixed, with those with a professional degree associated with increased risk of any mental disorder (OR = 1.8 [CI: 1.0-3.1]) relative to those with technical degrees, but decreased risk of any harmful substance use (OR = 0.2 [CI: 0.0-0.9]). Those without tertiary qualifications seemed to be less likely to experience mental disorder or harmful substance use, but this did not reach significance. No statistically significant differences in the prevalence of disorders among various age groups or completion of high school were found.

Cultural correlates

Participants who responded sometimes, rarely or never to experiences of connection (OR = 1.7 [CI: 1.0-2.9]), community event participation (OR = 1.8 [CI: 1.1–2.8]), and feelings of empowerment (OR = 2.0 [CI: 1.1–3.7]) were approximately 2 times more likely to have any mental disorder when compared to those who responded often or always to the same item. See supplementary information, Table 8 for how this varied at the disorder level. No statistically significant associations were found amongst experiences of racism, identification of Mob, Country, or history of family removals.

Table 4 Sociodemographic and cultural correlates of any mental disorder and harmful substance use in the last 12 months

Correlates of mental disorders across the lifetime

As with 12-month correlates, participants experiencing financial stress, including being unable to pay bills (OR = 1.9 [CI: 1.1–3.2]), afford groceries (OR = 2.0 [CI: 1.1–3.5]), or seeking financial help from friends/family (OR = 2.0 [CI: 1.3–2.3]) were at increased risk of any mental disorder. Participants who were single were more likely to experience PTSD in the lifetime (OR = 1.7 [CI: 1.1–2.7]). Participants reporting lower levels of connection (OR = 2.3 [CI: 1.3–4.1]), community participation (OR = 2.4 [CI: 1.4–4.1]) and feelings of empowerment (OR = 2.1 [CI: 1.1–4.2]) were also at increased risk of any mental disorder. These results varied by disorder (see supplementary information, Table 9, for all lifetime correlates). Trends indicated those who could not identify who their Mob were more likely to experience all mental disorders; this reached significance for PTSD (OR = 2.2 [CI: 1.1–4.2]). Participants currently living on country were less likely to have experienced GAD in the lifetime (OR = 0.3 [CI: 0.1–0.7]), but there was no observable trend for other disorders. Items on racism and history of family removals showed inconclusive or mixed results.

When looking at the composite “cultural connection” score and its relationship with mental disorders, t-tests demonstrated that those with mental disorders (MDE, GAD and PTSD) had a higher mean cultural connection score (indicating lower levels of pride, connection, participation and empowerment) than those who did not have that disorder (see Table 5). The relationship between harmful substance use and the composite cultural connection scores was not significant.

Table 5 Composite cultural connection score and mental disorder

Discussion

This research is among the first of its kind to examine sociodemographic and cultural correlates of diagnostic data on mental disorder and harmful substance use amongst an Aboriginal and Torres Strait Islander sample using a population level survey. Various socio-demographic and cultural factors showed significant correlations with a higher prevalence of psychological distress, mental disorders or harmful substance use. For instance, individuals who were experiencing homelessness or rough sleeping were over five times more likely to have experienced a mental disorder or harmful substance use in the past year when compared to those renting. Those who reported financial stress were approximately twice as likely to have encountered a mental disorder or harmful substance use in the last 12 months compared to individuals who reported no financial stress. It’s important to note that the relationship between these variables and mental health can be intricate and bidirectional. For example, although the measures of financial stress were based on experiences in the past 12 months, they were also related to increased rates of lifetime mental disorder. Poorer mental health status across the lifetime would impact on people’s ability to engage in activities that secure economic stability. For many individuals grappling with a mental disorder or harmful substance use, the attainment and maintenance of stable employment and housing can be formidable challenges. This, in turn, exacerbates their physical and mental well-being, economic stability, access to social support networks, and utilisation of healthcare services [26].

Due to limited variability in response types and small sample sizes, the logistic regression output was at times challenging to interpret. Very few associations between items on Mob, Country and history of family removals and mental disorder or harmful substance use were found. Previous research has found contrary results in terms of the effects of living on Country or within Aboriginal communities [16]. Broadly speaking, it may be challenging to separate the potential protective social and cultural elements of being on country from area level disadvantage [6]. Additionally, depending on the individual, connection to country may be experienced as a connection to the land, family, culture, or spirit, and this may vary from person to person. As a result of insufficient power in this study, we were unable to identify an overarching relationship between participants’ history of family removals and mental disorder or harmful substance use, however removal is known to be detrimental to the mental health and wellbeing of Indigenous peoples [27]. Due to the long history of government policy on forced removals [27], the impact on an individuals’ mental health may vary depending on the individual circumstance, historical timeframe and intervention they or their family members were subject to. Using broad, single-item measures of whether a person is currently living on Country or their personal and familial history of forced removals may miss the necessary nuance required to appropriately explore this relationship.

Importantly, connection to culture as measured by this survey and its relationship to rates of mental disorder was a key finding. Participants reporting lower levels of connection and belonging to their culture, limited participation in cultural events and activities, and feelings of disempowerment were at least twice as likely to have experienced a lifetime mental disorder compared to those indicating stronger cultural connection and belonging, greater participation in cultural activities, and a stronger sense of empowerment. These findings underscore the protective role of cultural identity in the health and well-being of Indigenous Australians [28]. Further research aimed at quantifying this impact is crucial, especially within the context of mental disorder prevention and intervention at a population level.

Limitations

This paper was exploratory in nature and focused on providing descriptive associations to inform policy makers, public health service providers or planners, rather than the development of a predictive model. As a result, we did not correct our significance tests for multiple comparisons or for Type 1 error. While this preserves our ability to describe practical associations that may be useful to this audience, it does raise the probability that one or more of our significant findings may be due to chance. The research examined whether those experiencing racism had differing prevalence of mental disorder. The analyses produced inconclusive results, with those always/often experiencing racism having similar odds-ratios to those rarely/never experiencing racism. When we investigated the distribution of responses, a large number of participants (177/407) endorsed the “sometimes” response option, and most cases of mental disorder fell within this group. This exploration suggests that additional levels are needed in these response options, as limited categorical response options such as “sometimes” may capture a variety of participant experiences. Some qualitative comments indicated experiences of racism and discrimination as immediately preceding a mental health episode, with one participant identifying “racism and discrimination at work,” and another commenting: “toxic energy from the workplace… bullying and racism.” The scope of the QUIMHS research limited the extent and depth to which culturally derived experiences could be explored. The establishment of more comprehensive measures of cultural connection, racism, and discrimination, and further exploration of how these may impact mental disorder is required.

QUIMHS, a cross-sectional survey of Indigenous Australian adults in SEQ, represents the largest diagnostic survey of its kind conducted in this region [18]. The study employed research methods that included cultural adaptations, frameworks, and measures shaped by close collaboration with Indigenous stakeholders and community members in SEQ. This collaborative approach is a notable strength of the research. However, it’s important to acknowledge several limitations.

QUIMHS’ sample size limited statistical power in our analyses to detect all significant effects, and results should be interpreted with caution. Females were overrepresented in this sample. Although analyses were weighted to adjust for this, participation rates in mental health surveys as well as access to mental health services often see higher engagement and participation rates from females [4, [29]. Ways to engage males, particularly younger cohorts, in mental health research initiatives are required. Some sociodemographic variable levels had very few endorsements (e.g., those reporting homelessness, a history of incarceration or being part of the stolen generation), which limits the power with which significant effects can be detected. Furthermore, our findings may not be directly transferable to other Indigenous Australian communities, particularly those residing in rural and remote areas. Due to the cross-sectional design of the survey, the observed relationships between prevalence and other variables signify associations rather than establishing causality. The survey combined random household door knocking with community engagement efforts [18]. This approach captured segments of the population not residing in traditional households, a group often missed by surveys relying solely on door knocking, however, may have introduced a self-selection bias. Participants more inclined to strongly identify with the survey’s subject matter, actively engage in their community, have access to healthcare services, or feel comfortable discussing their mental health may have been overrepresented in the sample.

Conclusion/Future research

The QUIMHS survey represents a groundbreaking epidemiological study in Australia due to its scale, focusing on mental disorder prevalence, harmful substance use, and service utilisation within the wider Indigenous Australian community in SEQ. The survey’s findings point to high rates of mental disorders and harmful substance use, but importantly, this paper speaks to the substantial impact of secure housing, stable financial circumstances, and cultural connectedness as potential protective factors against the same. This data underlines and strengthens what service providers, clinicians and community already know: the importance of addressing systemic and social determinants of health, particularly when planning for the design and delivery of mental health services targeted at community. More nuanced research looking at experiences of racism, the diversity of impacts of a history of forced removals and the protective effects of living on or being connected to country is required.