Tolerance of ambiguity, perfectionism and resilience are associated with personality profiles of medical students oriented to rural practice.

PURPOSE: Resilience, coping with uncertainty and learning from mistakes are vital characteristics for all medical disciplines - particularly rural practice. Levels of coping constructs were examined in medical students with and without a rural background or an interest in rural practice. METHODS: Cross-sectional surveys identified two personality profiles, and their association with levels of Tolerance of Ambiguity, Resilience, Perfectionism-High Standards and Concern over mistakes as constructs indicative of coping. Medical students (N = 797) were stratified by rural background and degree of rural interest. Mediation analysis tested the effect of personality profile on levels of the coping constructs. RESULTS: More (72%) rural background students had Profile 1 which was associated with higher levels of Tolerance of Ambiguity, High standards, and Resilience, but lower Concern over mistakes. Non-rural background students reporting a strong rural interest also had Profile 1 (64%) and similar levels of coping constructs. Personality profile mediated the association between rural interest and levels of coping constructs regardless of background. CONCLUSIONS: Having a rural background or strong rural interest are associated with a personality profile that indicates a better capacity for coping. Personality may play a part in an individual's interest in rural practice. Rural workforce initiatives through education should encourage and nurture students with a genuine interest in rural practice - regardless of background.

Moderating effects of social engagement on driving cessation in older women.

BACKGROUND: Driving cessation in later life is associated with depression. This study examines if social support can buffer the negative effects of driving cessation on older women's mental health. METHODS: Participants were drawn from the 1921-1926 cohort of the Australian Longitudinal Study on Women's Health (ALSWH) and included 4,075 older women (aged 76-87 years) who drove at baseline, following them for three years to assess driving cessation. The outcome variable was mental health, measured by the mental health index (MHI) of the SF-36. The explanatory variables were social support factors, including social interaction, whether the women were living alone or with others, and engagement in social activities. Control variables included age, country of birth, area of residence, ability to manage on income, marital status, and general health. RESULTS: Main effect results showed that poor mental health was predicted by driving cessation, low levels of social interaction, and non-engagement in social activities. There was a significant interaction effect of driving status by social activities engagement on mental health. Women who remained active in their engagement of social activities were able to maintain a good level of mental health despite driving cessation. CONCLUSION: Engagement and participation in social activities can help older women who stopped driving maintain a good level of mental health.

Trend in alcohol use in Australia over 13 years: has there been a trend reversal?

BACKGROUND: Skog's collectivity theory of alcohol consumption predicted that changes in alcohol consumption would synchronize across all types of drinkers in a population. The aim of this paper is examine this theory in the Australian context. We examined whether there was a collective change in alcohol use in Australia from 2001 to 2013, estimated alcohol consumption in non-high risk and high risk drinkers, and examined the trends in alcohol treatment episodes. METHODS: Data from the 2001-2013 National Drug Strategy Household Surveys (N = 127,916) was used to estimate the prevalence and alcohol consumption of abstainers, high risk drinkers and frequent heavy episodic drinkers. Closed treatment episodes recorded in the Alcohol and Other Drug Treatment Services National Minimum Dataset (N = 608,367) from 2001 to 2013 were used to examine the trends of closed alcohol treatment episodes. RESULTS: The prevalence of non-drinkers (abstainers) decreased to the lowest level in 2004 (15.3 %) and rebounded steadily thereafter (20.4 % in 2013; p < .001). Correspondingly, the per capita consumption of high risk drinkers (2 standard drinks or more on average per day) increased from 20.7 L in 2001 to peak in 2010 (21.5 L; p = .020). Non-high risk drinkers' consumption peaked in 2004 (2.9 L) and decreased to 2.8 L in 2013 (p < .05). There were decreases in alcohol treatment episodes across nearly all birth cohorts in recent years. CONCLUSION: These findings are partially consistent with and support Skog's collectivity theory. There has been a turnaround in alcohol consumption after a decade-long uptrend, as evident in the collective decreases in alcohol consumption among nearly all types of drinkers. There was also a turnaround in rate of treatment seeking, which peaked at 2007 and then decreased steadily. The timing of this turnaround differs with level of drinking, with non-high risk drinkers reaching its peak consumption in 2004 and high risk drinkers reaching its peak consumption in 2010.

A latent class analysis of patterns of tobacco and cannabis use in Australia and their health-related correlates.

INTRODUCTION: The shifting landscape in Australia's tobacco and cannabis policies and emerging new products and modes of administration may increase experimentation and the risks of addiction to these drugs. METHODS: We analysed cross-sectional data from the 2019 National Drug Strategy and Household Survey (n = 22,015) of Australians aged 14 and above. Latent class analysis was used to identify distinct groups based on types of tobacco and cannabis products used. The socio-demographic, health-rated correlates and past-year substance use of each latent class was examined. RESULTS: A four-class solution was identified: co-use of tobacco and cannabis (2.4%), cannabis-only (5.5%), tobacco-only (8.0%) and non-user (84.0%). Males (odds ratio [OR] range 1.5-2.9), younger age (OR range 2.4-8.4), moderate to high psychological distress (OR range 1.3-3.0), using illicit substances in the last year (OR range 1.41-22.87) and high risk of alcohol use disorder (OR range 2.0-21.7) were more likely to be in the tobacco/cannabis use classes than non-users. Within the co-use class, 78.4% mixed tobacco with cannabis and 89.4% had used alcohol with cannabis at least once. DISCUSSION AND CONCLUSIONS: Approximately 16% of respondents used tobacco or cannabis, or both substances, and no major distinct subgroups were identified by the use of different product types. Mental health issues and the poly-substance use were more common in the class who were co-users of cannabis and tobacco. Existing policies need to minimise cannabis and tobacco-related harms to reduce the societal burden associated with both substances.

Availability of substances for use in personal vaporisers on three online cryptomarkets.

BACKGROUND: Personal vaporisers are gaining popularity as an alternative route of administration for a range of substances. Online cryptomarkets are becoming increasingly popular among people who use substances due to their perceived anonymity, ease of use, and reduced risk of violence compared to traditional face-to-face dealers. We examined the diversity of substances marketed for use in a personal vaporiser on these marketplaces. METHODS: Vaping related listings were extracted from three online cryptomarkets ('Agartha', 'Cryptonia', and 'Tochka') using The Onion Router browser. Data collection occurred between October and November 2019. RESULTS: We identified 1929 listings from 201 unique sellers. The top product on Agartha, Cryptonia, and Tochka were vape cartridges prefilled with the e-liquid (70.4 %, 39.4 %, 52.3 % respectively). The most common substance in these products was cannabis oil (96.1 %, 82.1 %, 87.8 %), followed by synthetic cannabinoids (3.7 %, 9.7 %, 9.8 %) and psychedelic substances (0.2 %, 6.4 %, 1.2 %). Vendors were primarily from the USA. Many products offered worldwide shipping (96.3 %, 42.4 %, 51.2 %). CONCLUSION: Vaping products listed on online cryptomarkets in 2019 primarily contained cannabis oils. Future studies should continue to examine cryptomarkets to identify emerging trends of substances that can be used in personal vaporisers.