Australian Rural Mental Health Study Research Articles

New Insights Into the Relationship Between Drought and Mental Health Emerging From the Australian Rural Mental Health Study.

While it is recognized that drought affects mental health, few population-based longitudinal studies quantify this relationship. In this study, we investigate the effects of drought on mental health in a rural population, and how these effects change with continued exposure to drought conditions. Using a panel dataset consisting of 6,519 observations from the Australian Rural Mental Health Study, we found a non-linear (inverted U-shape) relationship between drought exposure and mental health. Specifically, people experienced an increase of psychological distress for the first 2.5–3 years of drought, after which time this distress dissipates. These effects were maintained after controlling for demographic, social, and environmental factors. We also found that while psychological distress decreases in the later stages of drought, this does not necessarily mean people have good mental health because, for example, factors such as life satisfaction decreased as drought persisted. This is important as it highlights the need for sustained support to mitigate the long-term effects of drought on mental health that persist after the drought has apparently finished.

Concerns about climate change among rural residents in Australia

Abstract Climate change impacts human health and there is growing recognition of the explicit consequences for mental health and wellbeing. Rural communities are recognised as one of the most vulnerable populations to climate change. The majority of research to date is quantitative and has a focus on farmers specifically, with the impacts of climate change on the wider rural community considered to a lesser extent. Our study addresses this gap by analyzing qualitative data from the Australian Rural Mental Health Study (ARMHS), a longitudinal study conducted in non-metropolitan New South Wales (NSW), Australia, during the Millennium Drought. Free text responses from 823 participants to the open-ended question “What is your biggest concern about climate change?” were analysed to determine what the qualitative data from ARMHS reveals about the mental health and wellbeing of rural communities. Four themes were identified: (i) suffering under climate change; (ii) causes of climate change; (iii) extremes of climate change; and (iv) leadership and action to address climate change. The environmental, financial, health and social impacts of climate change were of greatest concern to rural residents. Many participants also had concerns relating to climate change attribution, with many believing climate change was a natural, cyclical process not caused by human actions. Other major concerns were the financial consequences of extreme events and the adequate communication of climate change information. Analysis of qualitative data such as that presented here gives context and breadth of understanding to issues identified via quantitative analysis. Importantly, insights emerging from qualitative data, and the personal/community context that is not always available from quantitative data, can lead to more informed community-based approaches to addressing climate change issues experienced by vulnerable populations.

Social determinants of psychological wellness for children and adolescents in rural NSW

BackgroundThe mental wellness of children and adolescents in rural Australia is under researched and key to understanding the long-term mental health outcomes for rural communities. This analysis used data from the Australian Rural Mental Health Study (ARMHS), particularly the parent report Strengths and Difficulties Questionnaire (SDQ) measure for children under 18 years old and their reporting parent’s demographic information to compare this sample’s mental wellness scores to the Australian norms and to identify what personal, family, community and rurality factors contribute to child mental wellness as pertaining to the SDQ total and subdomain scores.MethodFive hundred thirty-nine children from 294 families from rural NSW were included. SDQ scores for each child as well as personal factors (sex and age), family factors (employment status, household income and sense of community of responding parent), community SES (IRSAD) and rurality (ASCG) were examined.ResultsChildren and adolescents from rural areas had poorer mental wellness when compared to a normative Australian sample. Further, personal and family factors were significant predictors of the psychological wellness of children and adolescents, while after controlling for other factors, community SES and level of rurality did not contribute significantly.ConclusionsEarly intervention for children and families living in rural and remote communities is warranted particularly for low income families. There is a growing need for affordable, universal and accessible services provided in a timely way to balance the discrepancy of mental wellness scores between rural and urban communities.

The predictors of depression in a longitudinal cohort of community dwelling rural adults in Australia.

Many major studies of depression in Australia are under-representative of rural and remote residents, limiting the generalizability of their findings. This study explores the contributions of a range of individual, social, and community factors to the trajectory of depressive symptoms among a cohort of rural and remote residents. Data from four waves of the Australian Rural Mental Health Study (baseline n = 2639), a 5year longitudinal study of rural community residents, were examined within generalized linear mixed models to predict depressive symptoms. Depression was measured using the PHQ-9, with key correlates including social support, employment status, financial wellbeing, neuroticism, and rural community factors. Moderate-to-severe depression was reported by 6.3% of the baseline sample. Being permanently unable to work resulted in over a threefold increase in the odds of depression at the following survey wave. Self-rated financial hardship was associated with a fourfold increase in the odds of future depression, as was a high level of community concerns. Neuroticism and tobacco use also made a significant independent contribution to future depressive symptoms. Interpersonal support was a protective factor, reducing the odds of next-wave depression by 64%. Financial and employment-related difficulties appear to be important risk factors for depression, and targeting individuals experiencing such difficulties may be an effective means of reducing depression among certain sub-groups. Strategies to prevent depression in rural and remote Australia may benefit from a focus on interpersonal and community-level support, as the effects of this support are lasting and contribute to a reduced likelihood of depressive episodes in future years.

Drought‐related stress among farmers: findings from the Australian Rural Mental Health Study

To investigate general and drought-related stress experienced by farmers at both the personal and community levels, and whether socio-demographic and community factors influence this stress. Multivariate analysis of data from the Australian Rural Mental Health Study (ARMHS), a longitudinal cohort study (2007-2013). Non-metropolitan New South Wales. Subset of 664 ARMHS participants (at baseline) who identified as living or working on a farm. Personal drought-related stress (PDS), community drought-related stress (CDS), and general psychological distress (K10 score). Farmers who were under 35, both lived and worked on a farm, experienced greater financial hardship, and were in outer regional, remote or very remote NSW reported PDS particularly frequently. Of these factors, only being under 35 and increased remoteness were associated with higher incidence of CDS. Mild wet weather during the prior 12 months reduced PDS and CDS but increased general distress. Moderate or extreme wet weather did not affect PDS or general distress, but moderate wet weather was associated with increased CDS. Drought-related stress and general psychological distress were influenced by different socio-demographic and community factors. Farmers in NSW experience significant stress about the effects of drought on themselves, their families, and their communities. Farmers who are younger, live and work on a farm, experience financial hardship, or are isolated are at particular risk of drought-related stress. Medical practitioners who provide assistance to farmers and farming communities can contribute to initiatives that relieve stress about drought.

An experiment in using open-text comments from the Australian Rural Mental Health Study on health service priorities.

Conducting research in rural and remote areas is compounded by challenges associated with accessing relatively small populations spread over large geographical areas. Open-ended questions provided in a postal survey format are an advantageous way of including rural and remote residents in research studies. This method means that it is possible to ask for in-depth perspectives, from a large sample, in a relatively resource-efficient way. Such questions are frequently included in population-based surveys; however, they are rarely analysed. The aim of this article is to explore word cloud analysis, to evaluate the utility of automated programs to supplement the analysis of open-ended survey responses. Participants from the Australian Rural Mental Health Study completed the open-ended question 'What health services would you like to see the local health district providing that are currently not available in your area?' A word cloud analysis was then undertaken using the program Wordle; the size of the word in the cloud illustrates how many times, in proportion to other words, a word has appeared in responses, and provides an easily interpretable visual illustration of research results. In total, 388 participants provided a response to the free-text question. Using the word cloud as a visual guide, key words were identified and used to locate relevant quotes from the full open-text responses. \'Mental health\' was the most frequent request, cited by 81 people (20.8%). Following mental health, requests for more \'specialists\' (n=59) and \'services\' (n=53) were the second and third most frequent responses respectively. Visiting specialists were requested by multiple respondents (n=14). Less frequent requests illustrated in the word cloud are important when considering representatives from smaller population groups such as those with specific health needs or conditions including \'maternity\' services (n=13), \'cancer\' (n=10), \'drug and alcohol\' services (n=8), and \'aged care\' (n=7) services are all core services even though they were being called for by fewer people. This lesser frequency may suggest that these services are already considered as available in some rural and remote communities. This research aimed to determine whether meaningful and informative data could be obtained from short responses from open-ended survey questions using an automated data analysis technique to supplement a more in-depth analysis. The findings showed that, while not as detailed as interview responses, the open-ended survey questions provided sufficient information to develop a broad overview of the health service priorities identified by this large rural sample. Such automated data analysis techniques are rarely employed; however, the current research provides valuable support for their utility in rural and remote health research. This research has implications for researchers interested in engaging rural and remote residents, demonstrating that meaningful information can be extracted from short survey response data, contributing a resource-efficient supplement to a more detailed analysis. Open-ended questions are often asked in population-based studies yet they are rarely analysed, posing both an opportunity and a challenge for researchers using such participant-driven responses. The lessons learned from the methodology applied can be transferred to other population-based survey studies more widely.

Depression and Risk of Unintentional Injury in Rural Communities-A Longitudinal Analysis of the Australian Rural Mental Health Study.

Limited longitudinal research has examined relationships between depression and injury, particularly in rural contexts. This paper reports cross-sectional and longitudinal analyses from the Australian Rural Mental Health Study (ARMHS) exploring relationships between “probable depression” episodes and unintentional injury. Participants completed four surveys over five years. Multivariate logistic regressions were employed to assess the causal effect of prior depression episodes on subsequent injury risk. Of 2621 baseline participants, 23.3% experienced a probable depression episode recently and 15.9% reported a serious injury during the previous 12 months. Factors associated with a 12-month injury at baseline included male gender, being unemployed or unable to work, being involved in a serious incident, hazardous alcohol use, and having experienced a recent depression episode. Longitudinal analyses revealed that probable depression was significantly associated with subsequent unintentional injury (OR 1.68, 99%CI 1.20–2.35), as was male gender (OR 1.39, 99%CI 1.06–1.82), while alcohol consumption did not mediate these relationships. Campaigns to reduce the impact of mental illness should consider unintentional injuries as a contributor, while injury prevention initiatives may benefit from addressing mental health issues. Such strategies are particularly important in rural and remote areas where injuries are more common and mental health services are less readily available.

Does living in remote Australia lessen the impact of hardship on psychological distress?

Rural and remote regions tend to be characterised by poorer socioeconomic conditions than urban areas, yet findings regarding differences in mental health between rural and urban areas have been inconsistent. This suggests that other features of these areas may reduce the impact of hardship on mental health. Little research has explored the relationship of financial hardship or deprivation with mental health across geographical areas. Data were analysed from a large longitudinal Australian study of the mental health of individuals living in regional and remote communities. Financial hardship was measured using items from previous Australian national population research, along with measures of psychological distress (Kessler-10), social networks/support and community characteristics/locality, including rurality/remoteness (inner regional; outer regional; remote/very remote). Multilevel logistic regression modelling was used to examine the relationship between hardship, locality and distress. Supplementary analysis was undertaken using Australian Household, Income and Labour Dynamics in Australia (HILDA) Survey data. 2161 respondents from the Australian Rural Mental Health Study (1879 households) completed a baseline survey with 26% from remote or very remote regions. A significant association was detected between the number of hardship items and psychological distress in regional areas. Living in a remote location was associated with a lower number of hardships, lower risk of any hardship and lower risk of reporting three of the seven individual hardship items. Increasing hardship was associated with no change in distress for those living in remote areas. Respondents from remote areas were more likely to report seeking help from welfare organisations than regional residents. Findings were confirmed with sensitivity tests, including replication with HILDA data, the use of alternative measures of socioeconomic circumstances and the application of different analytic methods. Using a conventional and nationally used measure of financial hardship, people residing in the most remote regions reported fewer hardships than other rural residents. In contrast to other rural residents, and national population data, there was no association between such hardship and mental health among residents in remote areas. The findings suggest the need to reconsider the experience of financial hardship across localities and possible protective factors within remote regions that may mitigate the psychological impact of such hardship.

Understanding the Mental Health of Rural Young Adults: Risk and Protective Factors

Objective: Psychological distress is a serious concern for all young people, with an estimated one in four young Australians living with a mental disorder. In rural communities young adults may face greater challenges in addressing mental health concerns than their urban counterparts with factors such as social stigma, limited availability of services, problems recognising symptoms, and confidentiality concerns being significant barriers. Addressing the determinants of young people's mental health is crucial if they are to fulfil their potential and contribute fully in their communities. This presentation will describe risk and protective factors for psychological distress among young rural adults. Methods: Data from the Australian Rural Mental Health Study were analysed, with young adults aged 18-35 completing four surveys about mental health and wellbeing over a period of five years. Predictors of psychological distress for young rural adults were determined using generalised linear mixed models. Results: For respondents aged 18-35 years, the strongest predictor of psychological distress across the five years of data collection was unemployment, with findings suggesting that this was independent from its economic value. Unemployment increased the odds of distress 12-fold even after controlling for key correlates including financial position, gender, and relationship status. Key protective factors included social support, sense of community and level of social involvement, while increased alcohol use was a risk factor for distress. Conclusion: Opportunities for rural young people to connect formally and informally with their community are crucial to mental health. Supporting improved mental health is not exclusively the domain of specialised clinical and community-based mental health services (although these services are important), but also that of the diverse sporting, social, cultural, educational, religious, and vocational groups that operate within rural communities. This highlights the importance of holistic and integrated approaches to promoting mental health.

The health and wellbeing of Australian farmers: a longitudinal cohort study.

BackgroundIsolation, long work days, climate change and globalization are just some of the many pressures that make farming a vulnerable occupation for incurring mental health issues. The objective of this study was to determine whether farming in Australia is associated with poorer wellbeing, physical and mental health, and less health service use.MethodsThe Australian Rural Mental Health Study, a longitudinal cohort study was analysed over four time points comparing farmers with non-farming workers (n = 1184 at baseline). Participants were recruited from rural NSW, Australia. A number of physical, mental health, wellbeing, service use outcomes were assessed using generalised estimating equations including all waves in each model. Barriers to seeking help were also assessed.ResultsFarmers who lived remotely reported worse mental health (β −0.33, 95 % CI −0.53, −0.13) and wellbeing (β −0.21(95 % CI −0.35, −0.06) than remote non-farm workers regardless of financial hardship, rural specific factors eg drought worry, or recent adverse events. All farmers were no different to non-farming workers on physical health aspects except for chronic illnesses, where they reported fewer illnesses (OR 0.66, 95 % CI 0.44, 0.98). All farmers were half as likely to visit a general practitioner (GP) or a mental health professional in the last 12 months as compared to non-farm workers regardless of location (OR 0.59, 95 % CI 0.35, 0.97). Rural workers felt that they preferred to manage themselves rather than access help for physical health needs (50 %) or mental health needs (75 %) and there was little difference between farmers and non-farm workers in reasons for not seeking help.ConclusionsRemoteness is a significant factor in the mental health and wellbeing of farmers, more so than financial stress, rural factors and recent adverse events. Creative programs and policies that improve access for farmers to GPs and mental health professionals should be supported.Electronic supplementary materialThe online version of this article (doi:10.1186/s12889-016-3664-y) contains supplementary material, which is available to authorized users.

Familiarity with and intentions to use Internet-delivered mental health treatments among older rural adults

Objectives: Older adults are the fastest growing age group in Australia, necessitating an increase in appropriate mental health services in the coming years. While Internet-delivered mental health treatments have been established as acceptable and efficacious among younger samples, little research has explored whether they would be similarly useful in older populations.Methods: The participants were part of the Australian Rural Mental Health study, which explores mental health and well-being in residents of non-metropolitan New South Wales. A postal survey was used to assess knowledge of and intentions to use Internet-delivered mental health treatments. Demographics, mental health, and frequency of Internet use were also measured.Results: The survey was completed by 950 adults aged 50–93. The sample was largely unfamiliar with Internet mental health services, with 75% reporting that they had never heard of them and a further 20% not knowing any details of what they involved. Intentions to use these services were also low, at 13.5%; however, this increased with level of familiarity. Respondents with higher psychological distress, higher education, and more frequent Internet use were significantly more likely to consider using Internet treatments.Conclusions: Among older adults, overall awareness of Internet-delivered mental health treatments appears to be limited; however, higher familiarity contributes to higher intentions to use these treatments. Importantly, respondents with higher distress and greater computer literacy were more likely to consider mental health treatments delivered via the Internet. Future research exploring strategies to increase the promotion of these services to older samples may further improve their perceptions and use.

Self-reported contacts for mental health problems by rural residents: predicted service needs, facilitators and barriers.

BackgroundRural and remote Australians face a range of barriers to mental health care, potentially limiting the extent to which current services and support networks may provide assistance. This paper examines self-reported mental health problems and contacts during the last 12 months, and explores cross-sectional associations between potential facilitators/barriers and professional and non-professional help-seeking, while taking into account expected associations with socio-demographic and health-related factors.MethodsDuring the 3-year follow-up of the Australian Rural Mental Health Study (ARMHS) a self-report survey was completed by adult rural residents (N = 1,231; 61% female; 77% married; 22% remote location; mean age = 59 years), which examined socio-demographic characteristics, current health status factors, predicted service needs, self-reported professional and non-professional contacts for mental health problems in the last 12 months, other aspects of help-seeking, and perceived barriers.ResultsProfessional contacts for mental health problems were reported by 18% of the sample (including 14% reporting General Practitioner contacts), while non-professional contacts were reported by 16% (including 14% reporting discussions with family/friends). Perceived barriers to health care fell under the domains of structural (e.g., costs, distance), attitudinal (e.g., stigma concerns, confidentiality), and time commitments. Participants with 12-month mental health problems who reported their needs as met had the highest levels of service use. Hierarchical logistic regressions revealed a dose-response relationship between the level of predicted need and the likelihood of reporting professional and non-professional contacts, together with associations with socio-demographic characteristics (e.g., gender, relationships, and financial circumstances), suicidal ideation, and attitudinal factors, but not geographical remoteness.ConclusionsRates of self-reported mental health problems were consistent with baseline findings, including higher rural contact rates with General Practitioners. Structural barriers displayed mixed associations with help-seeking, while attitudinal barriers were consistently associated with lower service contacts. Developing appropriate interventions that address perceptions of mental illness and attitudes towards help-seeking is likely to be vital in optimising treatment access and mental health outcomes in rural areas.Electronic supplementary materialThe online version of this article (doi:10.1186/s12888-014-0249-0) contains supplementary material, which is available to authorized users.

Determinants of suicidal ideation and suicide attempts: parallel cross-sectional analyses examining geographical location.

BackgroundSuicide death rates in Australia are higher in rural than urban communities however the contributors to this difference remain unclear. Geographical differences in suicidal ideation and attempts were explored using two datasets encompassing urban and rural community residents to examine associations between socioeconomic, demographic and mental health factors. Differing patterns of association between psychiatric disorder and suicidal ideation and attempts as geographical remoteness increased were investigated.MethodsParallel cross-sectional analyses were undertaken using data from the 2007 National Survey of Mental Health and Wellbeing (2007-NSMHWB, n = 8,463), under-representative of remote and very remote residents, and selected participants from the Australian Rural Mental Health Study (ARMHS, n = 634), over-representative of remote and very remote residents. Uniform measures of suicidal ideation and attempts and mental disorder using the World Mental Health Composite International Diagnostic Interview (WMH-CIDI-3.0) were used in both datasets. Geographic region was classified into major cities, inner regional and other. A series of logistic regressions were undertaken for the outcomes of 12-month and lifetime suicidal ideation and lifetime suicide attempts, adjusting for age, gender and psychological distress. A sub-analysis of the ARMHS sample was undertaken with additional variables not available in the 2007-NSMHWB dataset.ResultsRates and determinants of suicidal ideation and suicide attempts across geographical region were similar. Psychiatric disorder was the main determinant of 12-month and lifetime suicidal ideation and lifetime suicide attempts across all geographical regions. For lifetime suicidal ideation and attempts, marital status, employment status, perceived financial adversity and mental health service use were also important determinants. In the ARMHS sub-analysis, higher optimism and better perceived infrastructure and service accessibility tended to be associated with a lower likelihood of lifetime suicidal ideation, when age, gender, psychological distress, marital status and mental health service use were taken into account.ConclusionsRates and determinants of suicidal ideation and attempts did not differ according to geographical location. Psychiatric disorder, current distress, employment and financial adversity remain important factors associated with suicidal ideation and attempts across all regions in Australia. Regional characteristics that influence availability of services and lower personal optimism may also be associated with suicidal ideation in rural communities.Electronic supplementary materialThe online version of this article (doi:10.1186/1471-244X-14-208) contains supplementary material, which is available to authorized users.

Lifetime Affective and Alcohol Use Disorder: Impact of Comorbidity on Current Functioning and Service Use in a Rural Population

Background: Depression and alcohol use problems frequently co-occur and significant barriers to service use for co-morbid mental health problems exist. Purpose of the study: This study examines relationships between current functioning and lifetime treatment among people with an affective disorder (AD) and/or an alcohol use disorder (AUD) in a rural sample. Methodology: A sub-sample of participants in the Australian Rural Mental Health Study with lifetime AD and/or AUD were assessed for current functioning using measures of psychological distress, alcohol use, and physical and psychological impairment, using multivariate logistic regression. Help seeking and perceived treatment effectiveness were examined across disorders. Major findings: 234 participants (55% female) met criteria for a lifetime AD and/or AUD. A lifetime history of both disorders (24%) was associated with higher levels of current psychological distress, psychological and physical impairment than a lifetime history of AUD alone, and higher levels of risky current alcohol use than AD alone. Substantial delays in treatment seeking were detected (from 9-14 years). Those with AUD alone reported unacceptably low rates of treatment seeking (11%) compared with the other groups (76-78%). Those with comorbid AD+AUD reported the lowest endorsement of past perceived “effective treatment” for either condition. Effective treatment for depression was less likely to be reported by those with both AD and AUD. Conclusion: Lifetime comorbid AD+AUD has a specific impact on current psychological and physical functioning that is not accounted for by age, gender, recent life events or chronic illness, highlighting the pressing need for better and more effective ways to offer assessment and treatment for these conditions. Rural participants more frequently accessed treatment for AD than AUD, representing an important opportunity to intervene early to better manage or prevent AUD and their associated burden. Technological solutions offer promise in this context as a way to address this need.

Integrating and extending cohort studies: lessons from the eXtending Treatments, Education and Networks in Depression (xTEND) study

BackgroundEpidemiologic studies often struggle to adequately represent populations and outcomes of interest. Differences in methodology, data analysis and research questions often mean that reviews and synthesis of the existing literature have significant limitations. The current paper details our experiences in combining individual participant data from two existing cohort studies to address questions about the influence of social factors on health outcomes within a representative sample of urban to remote areas of Australia. The eXtending Treatments, Education and Networks in Depression study involved pooling individual participant data from the Australian Rural Mental Health Study (T0 N = 2639) and the Hunter Community Study (T0 N = 3253) as well as conducting a common three-year follow-up phase (T1 N = 3513). Pooling these data extended the capacity of these studies by: enabling research questions of common interest to be addressed; facilitating the harmonization of baseline measures; permitting investigation of a range of psychosocial, physical and contextual factors over time; and contributing to the development and implementation of targeted interventions for persons experiencing depression and alcohol issues.DiscussionThe current paper describes the rationale, challenges encountered, and solutions devised by a project aiming to maximise the benefits derived from existing cohort studies. We also highlight opportunities for such individual participant data analyses to assess common assumptions in research synthesis, such as measurement invariance, and opportunities for extending ongoing cohorts by conducting a common follow-up phase.SummaryPooling individual participant data can be a worthwhile venture, particularly where adequate representation is beyond the scope of existing research, where the effects of interest are small though important, where events are of relatively low frequency or rarely observed, and where issues are of immediate regional or national interest. Benefits such as these can enhance the utility of existing projects and strengthen requests for further research funding.

Longitudinal course and predictors of suicidal ideation in a rural community sample

Suicide rates in rural Australia are higher than in urban areas. No existing research has explored the long-term patterns and predictors of change in suicidal ideation within rural areas. This report uses longitudinal data and multiple time points to determine predictors of the trajectory of suicidal ideation in rural Australia. Participants in the Australian Rural Mental Health Study (ARMHS) completed self-report surveys at baseline, 12 and 36 months, reporting their psychological and social well-being, and suicidal ideation. Generalised linear mixed models explored these factors as correlates and predictors of suicidal ideation across 3 years using multiple data points. A total of 2135 participants completed at least one wave of ARMHS, and hence were included in the current analysis. Overall, 8.1% reported suicidal ideation during at least one study wave, 76% of whom reported suicidal ideation intermittently rather than consistently across waves. Across the three time points, suicidal ideation was significantly associated with higher psychological distress (OR 1.30, 95% CI 1.23 to 1.37), neuroticism (OR 1.15, 95% CI 1.04 to 1.27), and availability of support (OR 0.80, 95% CI 0.69 to 0.92), with a non-significant association with unemployment (OR 1.73, 95% CI 0.93 to 3.24) even after controlling for the effects of perceived financial hardship. Future suicidal ideation was significantly predicted by distress (OR 1.16, 95% CI 1.09 to 1.23) and neuroticism (OR 1.17, 95% CI 1.03 to 1.32), with a non-significant association with unemployment (OR 2.11, 95% CI 0.41 to 2.27). Predictive effects for marital status, social networks, sense of community and availability of support did not remain significant in the full multivariate analysis. Fluctuations in suicidal ideation are common, and may be associated with changes in psychological and social well-being. Public health strategies, focusing on encouraging help-seeking among those with higher psychological distress, lower social support, and unstable or absent employment opportunities, may be a useful long-term initiative to reduce the prevalence of suicidal ideation in the general rural community.

Feasibility of internet-delivered mental health treatments for rural populations

Rural populations face numerous barriers to mental health care. Although internet-delivered mental health treatments may offer an accessible and cost-effective answer to these barriers, there has been little evaluation of the feasibility of this approach among rural communities. Data were obtained from a random rural community sample through the third wave of the Australian Rural Mental Health Study. Attitudes towards internet-delivered mental health treatments and availability of internet access were explored. Data were analysed to identify sub-groups in whom internet-delivered treatments may be usefully targeted. Twelve hundred and forty-six participants completed the survey (mean age 59 years, 61% females, 22% from remote areas). Overall, 75% had internet access and 20% would consider using internet-based interventions, with 18% meeting both of these feasibility criteria. Logistic regression revealed feasibility for internet-delivered mental health treatment was associated with younger age, male gender, being a carer, and a 12-month mental health problem. Participants who had used internet-delivered services in the past were significantly more likely to endorse these treatments as acceptable. There is considerable potential for internet-delivered treatments to increase service accessibility to some sub-groups, particularly among people with mental health problems who are not currently seeking help. Resistance to internet treatments appears to be largely attitudinal, suggesting that enhancing community education and familiarity with such programs may be effective in improving perceptions and ultimately access.

Construct validity of the Assessment of Quality of Life - 6D (AQoL-6D) in community samples

BackgroundThe Assessment of Quality of Life - 6D scale (AQoL-6D) is a self-report instrument designed to provide a sensitive multidimensional evaluation of health related quality of life. The current paper assesses the construct, concurrent and convergent validity of the AQoL-6D in a combined longitudinal population sample drawn from across urban, regional and remote areas of Australia.MethodsThe AQoL-6D was administered within the Hunter Community Study and the Australian Rural Mental Health Study over time (mean years lag = 3.90, SD = 1.30). Observations with sufficient data were used to confirm the construct validity of the AQoL-6D domains and higher-order structure using confirmatory factor analyses (CFA, N = 7915). The stability of this structure across cohorts and over time was assessed using multi-group CFA. Additionally, the concurrent validity (against the SF-36) and convergent validity of AQoL-6D domains and factors were assessed.ResultsThe construct validity of the AQoL-6D domains was considered satisfactory. Two higher-order factors, representing the physical and psychological components of quality of life were identified (CFA model fit: RMSEA = .07, SRMR = .03; TLI = .96, CFI = .98). These factors displayed group and temporal invariance, as well as concurrent and convergent validity against a range of measures. Recommendations for the derivation of summary scores are provided, together with a provisional set of norms.ConclusionsThe AQoL-6D is a useful tool for assessing quality of life impairment in epidemiological cohort studies, both cross-sectionally and over time. It displays appropriate levels of construct, concurrent and convergent validity. Conceptualisation of higher-order factors as representing the physical and psychological aspects of quality of life impairment may increase the sensitivity and appeal of the AQoL-6D, particularly for studies examining predictors of and changes in social and psychological outcomes.

Contributors to suicidality in rural communities: beyond the effects of depression

BackgroundRural populations experience a higher suicide rate than urban areas despite their comparable prevalence of depression. This suggests the identification of additional contributors is necessary to improve our understanding of suicide risk in rural regions. Investigating the independent contribution of depression, and the impact of co-existing psychiatric disorders, to suicidal ideation and suicide attempts in a rural community sample may provide clarification of the role of depression in rural suicidality.Methods618 participants in the Australian Rural Mental Health Study completed the Composite International Diagnostic Interview, providing assessment of lifetime suicidal ideation and attempts, affective disorders, anxiety disorders and substance-use disorders. Logistic regression analyses explored the independent contribution of depression and additional diagnoses to suicidality. A receiver operating characteristic (ROC) analysis was performed to illustrate the benefit of assessing secondary psychiatric diagnoses when determining suicide risk.ResultsDiagnostic criteria for lifetime depressive disorder were met by 28% (174) of the sample; 25% (154) had a history of suicidal ideation. Overall, 41% (63) of participants with lifetime suicidal ideation and 34% (16) of participants with a lifetime suicide attempt had no history of depression. When lifetime depression was controlled for, suicidal ideation was predicted by younger age, being currently unmarried, and lifetime anxiety or post-traumatic stress disorder. In addition to depression, suicide attempts were predicted by lifetime anxiety and drug use disorders, as well as younger age; being currently married and employed were significant protective factors. The presence of comorbid depression and PTSD significantly increased the odds of reporting a suicide attempt above either of these conditions independently.ConclusionsWhile depression contributes significantly to suicidal ideation, and is a key risk factor for suicide attempts, other clinical and demographic factors played an important role in this rural sample. Consideration of the contribution of factors such as substance use and anxiety disorders to suicidal ideation and behaviours may improve our ability to identify individuals at risk of suicide. Acknowledging the contribution of these factors to rural suicide may also result in more effective approaches for the identification and treatment of at-risk individuals.

Individual and district-level predictors of alcohol use: cross sectional findings from a rural mental health survey in Australia.

BackgroundExcessive alcohol use is a significant problem in rural and remote Australia. The factors contributing to patterns of alcohol use have not been adequately explained, yet the geographic variation in rates suggests a potential contribution of district-level factors, such as socio-economic disadvantage, rates of population change, environmental adversity, and remoteness from services/population centres. This paper aims to investigate individual-level and district-level predictors of alcohol use in a sample of rural adults.MethodsUsing baseline survey data (N = 1,981) from the population-based Australian Rural Mental Health Study of community dwelling residents randomly selected from the Australia electoral roll, hierarchal logistic regression models were fitted for three outcomes: 1) at-risk alcohol use, indicated by Alcohol Use Disorders Identification Test scores ≥8; 2) high alcohol consumption (> 40 drinks per month); and 3) lifetime consequences of alcohol use. Predictor variables included demographic factors, pre-dispositional factors, recent difficulties and support, mental health, rural exposure and district-level contextual factors.ResultsGender, age, marital status, and personality made the largest contribution to at-risk alcohol use. Five or more adverse life events in the past 12 months were also independently associated with at-risk alcohol use (Adjusted Odds Ratio [AOR] 3.3, 99%CI 1.2, 8.9). When these individual-level factors were controlled for, at-risk alcohol use was associated with having spent a lower proportion of time living in a rural district (AOR 1.7, 99%CI 1.3, 2.9). Higher alcohol consumption per month was associated with higher district-level socio-economic ranking, indicating less disadvantage (AOR 1.2, 99%CI 1.02, 1.4). Rural exposure and district-level contextual factors were not significantly associated with lifetime consequences of alcohol use.ConclusionsAlthough recent attention has been directed towards the potential adverse health effects of district or community level adversity across rural regions, our study found relatively few district-level factors contributing to at-risk alcohol consumption after controlling for individual-level factors. Population-based prevention strategies may be most beneficial in rural areas with a higher socio-economic ranking, while individual attention should be focused towards rural residents with multiple recent adverse life events, and people who have spent less time residing in a rural area.