Background: The worldwide COVID-19 government restrictions imposed on young people to limit virus spread have precipitated a growing and long-term educational and health crisis. Contributions to the ...Theory: This novel study used Sen's Capabilities Approach as a theoretical framework to examine the current health and educational impacts of COVID-19 on youth, referencing emerging literature. The objective was to inform the design of an internationally relevant framework for school health promotion to support young people through and after the COVID-19 pandemic. Mapping of existing health resources, internal/external conversion factors and capabilities were used to identify classroom, school and system level strategies that will enable young people to flourish. Four central enablers were identified and used in the design of the International Framework for School Health Promotion (IFSHP). Implications for School Health Policy, Practice, and Equity: The IFSHP can be used by educational institutions, school leaders and teachers to innovate existing health promotion programs, policies and practices to support young people through and after the COVID-19 pandemic. Conclusions: School systems, schools and teachers are encouraged to utilize the IFSHP to review and innovate existing school health programs to ensure they meet the increased physical and mental health needs of young people.
Poor sleep and poor mental health go hand in hand and, together, can have an adverse impact on physical health. Given the already disproportionate physical health inequities experienced by people ...with a mental health condition worldwide, the need to consider and optimise sleep has been highlighted as a means of improving both physical and mental health status. Sleep recommendations recently developed by the United States' National Sleep Foundation incorporate a range of sleep parameters and enable the identification of 'suboptimal' sleep. Among community-dwelling persons with and without a 12-month mental health condition in Australia, this study reports: 1 the prevalence of 'suboptimal' sleep and 2 rates of sleep assessment by a health care clinician/service and receipt of and desire for sleep treatment.
A descriptive study (N = 1265) was undertaken using self-report data derived from a cross-sectional telephone survey of Australian adults, undertaken in 2017.
Fifteen per cent (n = 184) of participants identified as having a mental health condition in the past 12 months. Across most (7 of 8) sleep parameters, the prevalence of suboptimal sleep was higher among people with a mental health condition, compared to those without (all p < 0.05). The highest prevalence of suboptimal sleep for both groups was seen on measures of sleep duration (36-39% and 17-20% for people with and without a mental health condition, respectively). In terms of sleep assessment and treatment, people with a mental health condition were significantly more likely to: desire treatment (37% versus 16%), have been assessed (38% versus 12%) and have received treatment (30% versus 7%).
The prevalence of suboptimal sleep among persons with a mental health condition in Australia is significantly higher than those without such a condition, and rates of assessment and treatment are low for both groups, but higher for people with a mental health condition. Population health interventions, including those delivered as part of routine health care, addressing suboptimal sleep are needed.
Report on the sleep health characteristics of a population-level sample of young Australian adults and examine associations with measures of physical and mental health.
A cross-sectional study using ...data from the Raine Study. Data from participants (n = 1234) born into the study (Generation 2) at the 22-year follow-up were used, including data from a self-report questionnaire and polysomnography.
The highest prevalence of suboptimal sleep health was seen on measures of sleep duration (30%), onset latency (18%), satisfaction (25%) and regularity (60%). Dissatisfaction with sleep (physical health: β =0.08; mental health: β =0.34) and impaired daytime alertness (physical health: β =0.09; mental health: β =0.08) were significantly associated with poorer physical and mental health and inadequate polysomnography-measured sleep duration was associated poorer mental health (β =0.07) (all ps<0.05).
Satisfaction with sleep and daytime alertness, both of which are assessed via self-report, are essential aspects of sleep health for young adults.
Findings could inform public health interventions, including screening guidelines, to improve the sleep health and, in turn, the physical and mental health of young adults in Australia.
Herbal medicines are frequently used by adults with sleep difficulties. However, evidence of their efficacy is limited. Therefore, the goal of this study was to examine the sleep-enhancing effects of ...a standardized saffron extract (affron).
This was a 28-day, parallel-group, double-blind, randomized controlled trial. Sixty-three healthy adults aged 18-70 with self-reported sleep problems were recruited and randomized to receive either saffron extract (affron; 14 mg twice daily) or a placebo. Outcome measures included the Insomnia Severity Index (ISI; primary outcome measure) collected at baseline and days 7, 14, 21, and 28 and the Restorative Sleep Questionnaire (RSQ) and the Pittsburgh Sleep Diary (PSD) collected on days -1, 0, 3, 7, 14, 27, and 28.
Based on data collected from 55 participants, saffron was associated with greater improvements in ISI total score (P = .017), RSQ total score (P = .029), and PSD sleep quality ratings (P = .014) than the placebo. Saffron intake was well tolerated with no reported adverse effects.
Saffron intake was associated with improvements in sleep quality in adults with self-reported sleep complaints. Further studies using larger samples sizes, treatment periods, objective outcome measures, and volunteers with varying demographic and psychographic characteristics are required to replicate and extend these findings.
Registry: Australian New Zealand Clinical Trials Registry; Name: Effects of Saffron on Sleep Quality in Healthy Adults with Self-Reported Unsatisfactory Sleep; URL: https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=377781; Identifier: ACTRN12619000863134.
Introduction: People with a mental health condition experience disproportionate morbidity and mortality compared to the general population. This inequity has been largely attributed to a higher ...prevalence of chronic disease risk behaviours including smoking, poor nutrition, harmful alcohol consumption and inadequate physical activity (‘SNAP risks’). Suboptimal sleep is highly prevalent among people with a mental health condition and, as an identified risk behaviour for several chronic diseases, has been implicated as an additional contributor to this health inequity. Research involving people without a mental health condition suggests associations between poor sleep and each SNAP risk; however, interactions with mental health status have not been reported in an Australian population. This study explored associations between suboptimal sleep and all four SNAP risks, and assessed whether they vary by mental health status. Materials and Methods: A descriptive study (n = 1265) was undertaken using self-report data from a cross-sectional telephone survey of Australian adults. Based on national guidelines and recommendations that indicate when someone might be at risk of adverse health effects, SNAP risks and sleep variables were reduced to two levels: ‘at risk’ or ‘not at risk’; and ‘appropriate’ or ‘suboptimal’, respectively. Chi square tests and multivariable logistic regression models explored associations between suboptimal sleep, SNAP risks and mental health status. Results: Fifteen per cent (n = 184) of participants identified as having a mental health condition in the past 12 months. Being at risk of adverse health effects due to smoking had the strongest association with several measures of suboptimal sleep (ps < 0.05). Two-way interactions revealed that being at risk of adverse health effects due to alcohol use and physical inactivity resulted in a significantly greater likelihood of suboptimal sleep duration (OR 3.06, 95% CI 1.41 to 6.64; OR 3.06, 95% CI 1.41 to 6.69) and nap duration (OR 7.96, 95% CI 1.90 to 33.22), respectively, for people with a mental health condition compared to those without. Conclusions: The findings suggest associations between suboptimal sleep and smoking, risky alcohol consumption and physical inactivity, with the latter two perhaps being stronger among people with a mental health condition compared to those without such a condition. Poor sleep should be considered in interventions to address smoking, alcohol and physical activity; and vice versa. This study lends further support for the value of multirisk lifestyle interventions to promote physical and mental health for people with mental health conditions.
Exploring factors associated with retention in randomised trials provides insight into potential threats to internal and external study validity, and may inform the development of interventions to ...increase retention in future trials. Given a paucity of existing research in the field, a study was conducted to explore factors associated with retention in a smoking intervention trial involving persons with a mental illness, considering demographic and smoking characteristics, treatment condition and engagement in prior follow-up assessments.
A descriptive study was undertaken using data derived from a RCT of a smoking cessation intervention initiated in four adult psychiatric inpatient units in New South Wales (NSW), Australia. Retention assessment was undertaken at 1, 6 and 12-months post-discharge. A Generalised Linear Mixed Model was adopted to explore associations between retention at any follow up time point and demographic and smoking characteristics. Chi square analyses explored the association between retention at all follow up time points and treatment condition, and binary logistic regression analyses assessed for relationships between retention at 12-month follow up and engagement in prior follow up assessments.
Retention rates were 63, 56 and 60% at the 1, 6 and 12-month assessments, respectively. No association was found between retention at any follow-up time point and 13 of 15 demographic and smoking characteristics. Younger participants and those who identified to be Aboriginal and/or Torres Strait Islander were more likely to be retained (both ps > 0.05). Retention rates did not vary according to treatment condition at any follow-up time point. Participants who completed a prior assessment were more likely to complete the 12 month assessment (both prior assessments: OR 10.7, p < 0.001; 6 month assessment: OR 6.01, p < 0.001; and 1 month assessment: OR 1.8, p = 0.002).
The underrepresentation of younger participants and those identifying to be Aboriginal and/or Torres Strait Islander may limit the generalisability of findings. Findings suggest that inclusion of multiple contacts during a trial follow up period may increase retention at the final assessment. Interventions to improve retention, overall and for those sub-groups less likely to be retained, in smoking trials involving persons with a mental illness are needed. Further assessment of sample characteristics, and also trial design factors, associated with retention in this field is warranted.
Background:
A review of the safety profile of exercise training in multiple sclerosis (MS) has not been conducted since 2013.
Objective:
We undertook a systematic review and meta-analysis of ...randomised controlled trials (RCTs) of exercise training published since 2013 and quantified estimated population risks of clinical relapse, adverse events (AE) and serious adverse event (SAE).
Methods:
Articles reporting safety outcomes from comparisons of exercise training with non-exercise among persons with MS were identified. The risk of bias was established from study’s internal validity assessed using Physiotherapy Evidence Database (PEDro). Rates and estimated mean population relative risks (RRs; 95% confidence interval (CI)) of safety outcomes were calculated, and random-effects meta-analysis estimated the mean RR.
Results:
Forty-six interventions from 40 RCTs (N = 1780) yielded 46, 40 and 39 effects for relapse, AE, adverse effects and SAE, respectively. The mean population RRs ((95% CI), p-value) for relapse, AE and SAE were 0.95 ((0.61, 1.48), p = 0.82), 1.40 ((0.90, 2.19), p = 0.14) and 1.05 ((0.62, 1.80), p = 0.85), respectively. No significant heterogeneity is observed for any outcome.
Conclusion:
In studies that reported safety outcomes, there was no higher risk of relapse, AE, adverse effects or SAE for exercise training than the comparator. Exercise training may be promoted as safe and beneficial to persons with MS.
We documented reporting and rates of drop-out, adherence, and compliance from 40 randomized controlled trials (RCTs) included in our meta-analysis on safety of exercise training (ET) in MS. We ...adopted definitions and metrics of adherence and compliance provided by the MoXFo adherence group. Drop-out was reported in 100% of the RCTs and approximated 10% for intervention and control conditions. Adherence and compliance were reported in approximately 50% and 10% of the RCTs, respectively, and approximated 80% and 70%, respectively. Standardized metrics for reporting adherence and compliance are important in future RCTs for understanding the impact on outcomes and translation of research evidence into practice.
The National Sleep Foundation’s (NSFs) sleep duration recommendations and quality indicators enable trichotomous classification of sleep parameters as ‘appropriate’, ‘may be appropriate’ or ...‘inappropriate’, with the latter representing ‘suboptimal’ sleep. This study reports the prevalence of self-reported suboptimal sleep and associated demographics in a large sample of Australian adults. In addition, reported are rates of suboptimal sleep assessment by health-care clinicians/services and receipt of and desire for sleep care, and their associations with suboptimal sleep.
A descriptive study (N = 1265) was undertaken using data derived from a cross-sectional telephone survey of Australian adults undertaken in 2017.
Descriptive statistics summarised the prevalence of suboptimal sleep, and chi-square and multivariable logistic regression analyses explored associations between suboptimal sleep, demographics and receipt of/interest in sleep care.
Almost half of participants (42%) were considered to have suboptimal sleep: 19% met criteria on one parameter, 13% on 2, 11% on ≥3. The highest prevalence of suboptimal sleep was seen on measures of sleep duration (20%-23%). Participants who were single, female, middle-aged (26-64) and of low socioeconomic status were more likely to experience suboptimal sleep (p<0.01). Rates of assessment and treatment are currently suboptimal: 16% reported their sleep had been assessed and 10% received at least one element of sleep care, most commonly pharmacotherapy (43%).
Suboptimal sleep is prevalent in Australia, and rates of assessment and treatment are currently low. Finding supports the need for a coordinated population health strategy to improve the sleep health of Australians.
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