BackgroundInconsistent nomenclature and anatomical descriptions of regional anesthetic techniques hinder scientific communication and engender confusion; this in turn has implications for research, education and clinical implementation of regional anesthesia. Having produced standardized nomenclature for abdominal wall, paraspinal and chest wall regional anesthetic techniques, we aimed to similarly do so for upper and lower limb peripheral nerve blocks.MethodsWe performed a three-round Delphi international consensus study to generate standardized names and anatomical descriptions of upper and lower limb regional anesthetic techniques. A long list of names and anatomical description of blocks of upper and lower extremities was produced by the members of the steering committee. Subsequently, two rounds of anonymized voting and commenting were followed by a third virtual round table to secure consensus for items that remained outstanding after the first and second rounds. As with previous methodology, strong consensus was defined as ≥75% agreement and weak consensus as 50%–74% agreement.ResultsA total of 94, 91 and 65 collaborators participated in the first, second and third rounds, respectively. We achieved strong consensus for 38 names and 33 anatomical descriptions, and weak consensus for five anatomical descriptions. We agreed on a template for naming peripheral nerve blocks based on the name of the nerve and the anatomical location of the blockade and identified several areas for future research.ConclusionsWe achieved consensus on nomenclature and anatomical descriptions of regional anesthetic techniques for upper and lower limb nerve blocks, and recommend using this framework in clinical and academic practice. This should improve research, teaching and learning of regional anesthesia to eventually improve patient care.

IntroductionTo date only a limited number of reviews have focused on how exposure and outcome measures are defined in the existing literature on associations between tobacco retailer density (‘density’) and smoking behaviour (‘smoking’). Therefore this systematic review classified and summarised how both density and smoking variables are operationalised in the existing literature, and provides several methodological recommendations for future density and smoking research.MethodsTwo literature searches between March and April 2018 and April 2022 were conducted across 10 databases. Inclusion and exclusion criteria were developed and keyword database searches were undertaken. Studies were imported into Covidence. Cross-sectional studies that met the inclusion criteria were extracted and a quality assessment was undertaken. Studies were categorised according to the density measure used, and smoking was re-categorised using a modified classification tool.ResultsLarge heterogeneity was found in the operationalisation of both measures in the 47 studies included for analysis. Density was most commonly measured directly from geocoded locations using circular buffers at various distances (n = 14). After smoking was reclassified using a smoking classification tool, past-month smoking was the most common smoking type reported (n = 26).ConclusionsIt is recommended that density is measured through length-distance and travel time using the street network and weighted (e.g. by the size of an area), or by using Kernel Density Estimates as these methods provide a more accurate measure of geographical to tobacco and e-cigarette retailer density. The consistent application of a smoking measures classification tool, such as the one developed for this systematic review, would enable better comparisons between studies. Future research should measure exposure and outcome measures in a way that makes them comparable with other studies.ImplicationsThis systematic review provides a strong case for improving data collection and analysis methodologies in studies assessing tobacco retailer density and smoking behaviour to ensure that both exposure and outcome measures are clearly defined and captured. As large heterogeneity was found in the operationalisation of both density and smoking behaviour measures in the studies included for analysis, there is a need for future studies to capture, measure and classify exposure measures accurately, and to define outcome measures in a manner that makes them comparable with other studies.

Dietary patterns (DPs) during pregnancy have been well researched. However, little is known about maternal diet after pregnancy. The aim of the study was to explore maternal DPs longitudinally, examine trajectories over 12years after pregnancy and identify associated factors. Of 14,541 pregnant women enrolled in the Avon Longitudinal Study of Parents and Children (ALSPAC) complete dietary information was available for 5336 women. Principal components analysis (PCA) was used to derive DPs. DP scores at each time point were used to create DP trajectories using group-based trajectory modelling (GBTM). Multinomial logistic regression assessed the association with maternal factors. A total of six distinct DPs were identified over time with different numbers of DPs at each time point. The "healthy" and "processed" DPs persisted over the 12-year post-pregnancy. Three trajectories of "healthy" and "processed" DPs were identified from GBTM. Half the women were on the moderately healthy DP trajectory with 37% on the lower trajectory and 9% on the higher healthy DP trajectory. 59% of women were on the lower processed DP trajectory with 38% on the moderate trajectory and 3.3% on the higher processed DP trajectory. Low educational attainment, low social class and smoking in pregnancy were independently associated with being on a less favourable DP trajectory over the 12years. Health professionals should provide support on smoking cessation along with healthy eating advice during ante-natal counselling. Continued support on eating healthily after pregnancy would be beneficial for mothers and families.

There is a strong societal belief that parents are role models for their child's dietary behaviours in early life that may persist throughout the life course. Evidence has shown inconclusive dietary resemblance in parent-child (PC) pairs. This systematic review and meta-analysis aimed to examine dietary resemblance between parent and children. We systematically searched for studies on PC dietary resemblance, via six electronic databases (PubMed, Ovid MEDLINE, Embase, APA PsycNet, CINAHL, and Web of Science) and other grey sources of literature between 1980 and 2020. We performed quality effect meta-analysis model on transformed correlation coefficients (z) to examine the resemblance in dietary intakes including nutrient intakes, food group intakes and whole diet. Finally, the Fisher's transformed coefficient (z) was used for meta-regression analysis to identify potential moderators. Heterogeneity and inconsistency were examined using the Q and I2 statistic. The study is registered on PROSPERO, CRD42019150741. A total of 61 studies met the inclusion criteria for systematic review, 45 were included in the meta-analysis. Pooled analyses showed weak to moderate PC dietary intake associations for energy: (r: 0.19; 95% CI: 0.16, 0.22), fat (% energy): (r: 0.23; 95% CI: 0.16, 0.29), protein (% energy): (r: 0.24; 95% CI: 0.20, 0.27), carbohydrate (% energy): (r: 0.24; 95% CI: 0.19, 0.29), fruits and vegetable (g/d): (r: 0.28; 95% CI: 0.25, 0.32), confectionary food (g/d): (r: 0.20; 95% CI: 0.17, 0.23), and whole diet (r: 0.35; 95% CI: 0.28, 0.42). Dietary intakes associations by study characteristics, including population, study year, dietary assessment method, person reporting dietary intake, quality of the study, and study design were highly variable, but associations were similar between PC pairs. The resemblance among parent-child pairs was weak to moderate for most aspects of dietary intakes. These findings challenge the social myth that parental dietary intake behaviour shapes their child's dietary intake. None.

Poor mental health is an under-recognised burden in rural locations. This is evident in suicide rates that are 40% higher in rural communities than in urban ones, despite a similar prevalence of mental disorders. The level of readiness and engagement of rural communities to adapt or even acknowledge poor mental health can impact effective interventions. For interventions to be culturally appropriate, community engagement should include individuals, their support networks and relevant stakeholders. Community participation guides people living in rural communities to be aware of and take responsibility for community mental health. Community engagement and participation foster empowerment. This review examines how community engagement, participation and empowerment were used in the development and implementation of interventions aimed at improving mental health of adults residing in rural communities. Databases CINAHL, EmCare, Google Scholar, Medline, PsychInfo, PubMed and Scopus were systematically searched from database inception to July 2021. Eligible studies included adults living in a rural cohort where community engagement was used to develop and implement a mental health intervention. From 1841 records identified, six met the inclusion criteria. Methods were both qualitative and quantitative, including participatory-based research, exploratory descriptive research, community-built approach, community-based initiative and participatory appraisal. Studies were located in rural communities of the USA, UK and Guatemala. Sample size ranges was 6-449 participants. Participants were recruited using prior relationships, project steering committee, local research assistants and local health professionals. All six studies underwent various strategies of community engagement and participation. Only two articles progressed to community empowerment where locals influenced one another independently. The underlying purpose of each study was to improve community mental health. The duration of the interventions ranged from 5 months to 3 years. Studies on the early stages of community engagement discovered a need to address community mental health. Studies where interventions were implemented resulted in improved community mental health. This systematic review found similarities in community engagement when developing and implementing interventions for community mental health. Community engagement should involve adults residing in rural communities when developing interventions - if possible, both with a diverse gender representation and a background in health. Community participation can include upskilling adults living in rural communities and providing appropriate training materials to do so. Community empowerment was achieved when the initial contact with rural communities was through local authorities and there was support from community management. Future use of the strategies of engagement, participation and empowerment could determine if they can be replicated across rural communities for mental health.

This study examines the association between the perception of water scarcity and support for alternative water sources in general, and specifically desalination and recycled water. It also examines the mediating role that perception of climate change has on the aforementioned association. A 46-item survey (n = 588) was conducted in the Geelong region of Australia. Logistic regression was used to determine the independent association between perceived water scarcity and socio-demographic factors, with support for alternative water sources, desalination and recycled water. 82% of respondents supported undefined 'alternative water sources'. However, support for specific alternatives was lower (desalination: 65%; recycled water: 40.3%). Perception of water scarcity was significantly associated with increased odds of support for alternative water sources (OR 1.94, 95% CI: 1.25-3.00) and support for recycled water (OR 2.32, 95% CI: 1.68-3.31). There was no significant relationship between perception of water scarcity and support for desalination (OR 0.959 95% CI: 0.677-1.358). Climate change was found to mediate perceived water scarcity and support for alternative sources (OR 1.360, 95% CI: 0.841-2.198). The mediation of the relationship between perceived water scarcity and support for recycled water by climate change was not strong. These results facilitate enhanced community engagement strategies.

Mental healthcare systems are primarily designed to urban populations. However, the specific characteristics of rural areas require specific strategies, resource allocation, and indicators which fit their local conditions. This planning process requires comparison with other rural areas. This demonstration study aimed to describe and compare specialized rural adult mental health services in Australia, Norway, and Spain; and to demonstrate the readiness of the healthcare ecosystem approach and the DESDE-LTC mapping tool (Description and Evaluation of Services and Directories of Long Term Care) for comparing rural care between countries and across areas. The study described and classified the services using the DESDE-LTC. The analyses included context analysis, care availability, placement capacity, balance of care, and diversity of care. Additionally, readiness (Technology Readiness Levels - TRL) and impact analyses (Adoption Impact Ladder - AIL) were also assessed by two independent raters. The findings demonstrated the usability of the healthcare ecosystem approach and the DESDE-LTC to map and identify differences and similarities in the pattern of care of highly divergent rural areas. Day care had a greater weight in the European pattern of care, while it was replaced by social outpatient care in Australian areas. In contrast, care coordination was more common in Australia, pointing to a more fragmented system that requires navigation services. The share between hospital and community residential care showed no differences between the two regions, but there were differences between catchment areas. The healthcare ecosystem approach showed a TRL 8 (the tool has been demonstrated in a real-world environment and it is ready for release and general use) and an AIL of 5 (the target public agencies provided resources for its completion). Two experts evaluated the readiness of the use of DESDE-LTC in their respective regional studies. All of them were classified using the TRL. In conclusion, this study strongly supports gathering data on the provision of care in rural areas using standardized methods to inform rural service planning. It provides information on context and service availability, capacity and balance of care that may improve, directly or through subsequent analyses, the management and planning of services in rural areas.

BackgroundPrior work suggests that higher fruit and vegetable consumption may protect against depression in older adults. Better understanding of the influence of genetic and environmental factors on fruit and vegetable intakes may lead to the design of more effective dietary strategies to increase intakes. In turn this may reduce the occurrence of depression in older adults.ObjectivesThe primary aim of this study is to estimate the genetic and environmental influences on the consumption of fruit and vegetables in older adults. The secondary aim is an exploratory analysis into possible shared genetic influences on fruit and vegetable intakes and depression.MethodsAnalysis of observational data from 374 twins (67.1% female; 208 monozygotic (MZ); 166 dizygotic (DZ)) aged ≥ 65 years drawn from the Older Australian Twins Study. Dietary data were obtained using a validated food frequency questionnaire and depressive symptoms were measured using the 15-item short form Geriatric Depression Scale. The contribution of genetic and environmental influences on fruit and vegetable intake were estimated by comparing MZ and DZ twin intakes using structural equation modelling. A tri-variate twin model was used to estimate the genetic and environmental correlation between total fruit and vegetable intakes and depression.ResultsIn this study, vegetable intake was moderately influenced by genetics (0.39 95%CI 0.22, 0.54). Heritability was highest for brassica vegetables (0.40 95%CI 0.24, 0.54). Overall fruit intake was not significantly heritable. No significant genetic correlations were detected between fruit and vegetable intake and depressive symptoms.ConclusionsVegetable consumption, particularly bitter tasting brassica vegetables, was significantly influenced by genetics, although environmental influences were also apparent. Consumption of fruit was only influenced by the environment, with no genetic influence detected, suggesting strategies targeting the food environment may be particularly effective for encouraging fruit consumption.

Abstract To evaluate the evidence on sleep and mental health issues in First Nations peoples. A systematic literature search was conducted covering academic and grey literature databases for studies with quantitative data on sleep and mental health association in First Nations Peoples published until November 2021. The National Institutes of Health Quality Assessment Tool was used for quality assessment, and the Aboriginal and Torres Strait Islander Quality Appraisal Tool helped assess cultural appropriate conduct of research. Seven studies (6 cross-sectional and 1 longitudinal) among three First Nations groups (n=3075) were included. In Indigenous Australian children, arousal problems increased aggression, and withdrawn behaviour, while early bedtime protected against behavioural problems (OR: 0.48, 95% CI: 0.28 -0.82). In Native American youth, insomnia symptoms increased depressive symptoms (OR: 4.87, 95% CI: 2.4 to 9.89), while in adults, short sleep increased the risk of anxiety (16%) and affective disorders (16%). Clinical sleep issues, restless leg (OR: 1.82; 95% CI: 0.53 to 3.12), insomnia (OR: 4.49; 95% CI: 3.14 to 5.83), and apnoea (OR: 2.46; 95%CI: 0.47 to 4.46) were associated with depression. Similarly, in Ameridian/Mestizo adults, restless leg syndrome increased the risk of depression (OR: 4.5, 95% CI: 2.2 to 9.7) and anxiety (OR: 3.6, 95% CI: 1.7 to 7.7). Majority of the studies scored high in quality assessment but the lack of information limited adequately assessing cultural appropriateness. There is limited but strong evidence suggesting a strong role of poor sleep in mental health issues in First Nations peoples which compels investment in sleep health.