Mixed messages: most spinal pain and osteoarthritis observational research is unclear or misaligned.

OBJECTIVES: We assessed authors' language and methods to determine alignment between reported aims, methods, intent, and interpretations in observational studies in spinal pain or osteoarthritis. STUDY DESIGN AND SETTING: We searched five databases for observational studies that included people with spinal pain or osteoarthritis published in the last 5 years. We randomized 100 eligible studies, and classified study intent (aims and methods) and interpretations as causal, non-causal, unclear, or misaligned. RESULTS: Overall, 38% of studies were aligned regarding their intent and interpretation (either causally (22%) or non-causally (16%)). 29% of studies' aims and 29% of study methods were unclear. Intent was misaligned in 16% of studies (where aim differed to method) and 23% of studies had misaligned interpretations (where there were multiple conflicting claims). The most common kind of aim was non-causal (38%), and the most common type of method (39%), intent (38%), and interpretations (35%) was causal. CONCLUSIONS: Misalignment and mixed messages are common in observational research of spinal pain and osteoarthritis. More than 6 in 10 observational studies may be uninterpretable, because study intent and interpretations do not align. While causal methods and intent are most common in observational research, authors commonly shroud causal intent in non-causal terminology.

Exploring Support Provided by Community Managed Organisations to Address Health Risk Behaviours Associated with Chronic Disease among People with Mental Health Conditions: A Qualitative Study with Organisational Leaders.

People living with mental health conditions experience a significantly reduced life expectancy compared to people without, largely linked to health risk behaviours and associated chronic disease. Community managed organisations (CMOs) represent an important setting in which to address health risk behaviours among people with mental health conditions. However, little is known about how these behaviours (smoking, poor nutrition, alcohol consumption, inadequate physical activity, poor sleep: SNAPS) are being addressed in this setting. One-on-one, semi-structured telephone interviews were conducted with a sample of 12 senior staff, representing 12 CMOs in New South Wales, Australia to: (1) explore types of support provided by CMOs to address the SNAPS behaviours of consumers living with a mental health condition; and (2) assess perceived organisational and staff level barriers and facilitators to providing such support. Transcribed interviews were analysed using inductive thematic analysis. This study found there was a range of supports offered by CMOs, and these differed by health risk behaviour. Findings suggest CMOs are well-placed to embed SNAPS supports as a part of their service provision; however, available funding, consistency of supports, workplace policies and culture, collaboration with other available supports, staff training and education, all impacted capacity.

The effects of the eCoFit RCT on depression and anxiety symptoms among adults with or at risk of Type 2 Diabetes.

Participation in regular physical activity has significant physical, psychological, and social benefits, including the prevention and treatment of Type 2 Diabetes (T2D). The primary aim of this paper was to evaluate the impact of theeCoFit physical activity intervention on depression and anxiety symptoms among adults at risk of, or diagnosed with, T2D. The primary outcomes were assessed using Patient Health Questionnaire-9, and Generalised Anxiety Disorder-7. The secondary aim was to test for the potential mediators for the intervention effect on mental health. The 20-week intervention was evaluated using a two-arm randomised controlled trial with await list control group. The intervention included two phases: Phase 1 integrated group face-to-face sessions and the use of the eCoFit smartphone application (app); and Phase 2 that included the use of the app only. Participants (n = 84) were assessed at baseline and 10- and 20-weeks post-baseline. Social support, self-efficacy, nature-relatedness, and perceived sleep quality were examined as potential mechanisms for the intervention effects on mental health. A significant interaction for depression severity was observed at 20-weeks (-1.76, CI -3.48, -05, p= .044, d= -0.35). There were no significant intervention effects for anxiety or any of the potential mechanisms.

Preventive care practices to address health behaviours among people living with mental health conditions: A survey of Community Managed Organisations.

People living with mental health conditions have a reduced life expectancy of approximately 10 years compared to the general population, largely due to physical chronic diseases and higher rates of tobacco smoking, poor nutrition, harmful alcohol consumption, physical inactivity and poor sleep behaviours. Community managed organisations (CMOs) may play a valuable role in providing preventive care to people with mental health conditions (consumers) to address these health behaviours. This paper reports the findings of a cross-sectional survey undertaken between November 2018 and February 2019 with leaders of CMOs (n = 76) that support people with mental health conditions in the state of New South Wales, Australia to: 1) measure the provision of preventive care (screening, support, and connections to specialist services) for five health behaviours; 2) identify the presence of key organisational features (e.g., data collection, staff training); and 3) explore if these organisational features were associated with the provision of preventive care. Preventive care provision to a majority of consumers (50% or more) was least frequently reported for tobacco smoking and most frequently reported for physical activity. Staff training and guidelines regarding the provision of preventive care were associated with the provision of such care. The results demonstrate that CMOs are already engaged in providing preventive care to some extent, with certain behaviours and preventive care elements addressed more frequently than others. Further research with additional CMO stakeholders, including staff and consumers, is needed to gain a deeper understanding of factors that may underlie CMOs capacity to routinely provide preventive care.

Physical activity intervention for rural middle-aged and older Australian adults: a pilot implementation study of the ecofit program delivered in a real-world setting.

BACKGROUND: ecofit is an evidence-based multi-component physical activity intervention that integrates smartphone technology, the outdoor environment, and social support. In a previous efficacy trial, significant improvements were found across several clinical, fitness, and mental health outcomes among adults at risk of (or with) type 2 diabetes. METHODS: The aim of the present pilot study was to evaluate a number of patient-centered and feasibility outcomes of the ecofit intervention in a "real-world" setting, using a scalable implementation model. ecofit was adapted and implemented by a rural municipal council in the Upper Hunter Shire, New South Wales, Australia, and evaluated using a single-group pre-post design. Inactive middle-aged and older adults (N=59) were recruited and assessed at 6 (primary time-point) and 20 weeks (follow-up). RESULTS: Improvements were found in this predominantly overweight and obese sample for aerobic fitness, functional mobility, upper and lower body muscular fitness, systolic blood pressure, and waist circumference at 6 weeks. At 20 weeks, effects were found for aerobic fitness, functional mobility, upper and lower body muscular fitness, and systolic blood pressure. Overall, participants were satisfied with the ecofit program. Participants attended the 6-week primary time-point (66.1%) and follow-up at 20 weeks (41.6%). CONCLUSIONS: Our findings support the preliminary effectiveness and feasibility of the ecofit intervention delivered by municipal council staff following a brief training from the research team. This study provides valuable preliminary evidence to support a larger implementation trial.

Consumer perception and behaviour related to low-alcohol wine: do people overcompensate?

OBJECTIVE: Compared with standard wines, low-alcohol wines may have several social and health benefits. Innovative production processes have led to high-quality light wines. It is, however, unclear how consumers perceive and consume these alcohol-reduced wines. The current study aimed to investigate how people evaluate low-alcohol wine (Sauvignon Blanc) and if the reduction in alcohol and the information that a wine is low in alcohol influences consumption. DESIGN: Randomised controlled trial (RCT). SETTING: Participants were invited to a wine tasting and randomised into one of the three conditions: they either tasted a 'new white wine' (12·5 % alcohol content), a 'new low-alcohol white wine' (8·0 % alcohol content) or they tasted the low-alcohol wine but were not aware that the wine was reduced in alcohol (low-alcohol, blinded). PARTICIPANTS: Ninety participants (42 % male, mean age = 41 (sd 14) years). RESULTS: Mean comparisons showed similar ratings for the low-alcohol conditions and the standard alcohol condition (mean > 5·6/7). The mean consumed amount across all conditions did not differ (162 (sd 71) ml, (F2,86 = 0·43, P > 0·05)), hence people who tasted the low-alcohol wine consumed approximately 30 % less alcohol. However, participants were willing to pay more for the normal wine compared with the low-alcohol wine, (F2,87 = 3·14, P < 0·05). CONCLUSIONS: Participants did not alter their drinking behaviour in response to the reduced alcohol content, and the low-alcohol wine was perceived positively. There might be an emerging market potential for wine of reduced alcohol content, but consumers may not be willing to pay the same price as for the standard wine.

Digital contact tracing technologies in epidemics: a rapid review.

BACKGROUND: Reducing the transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a global priority. Contact tracing identifies people who were recently in contact with an infected individual, in order to isolate them and reduce further transmission. Digital technology could be implemented to augment and accelerate manual contact tracing. Digital tools for contact tracing may be grouped into three areas: 1) outbreak response; 2) proximity tracing; and 3) symptom tracking. We conducted a rapid review on the effectiveness of digital solutions to contact tracing during infectious disease outbreaks. OBJECTIVES: To assess the benefits, harms, and acceptability of personal digital contact tracing solutions for identifying contacts of an identified positive case of an infectious disease. SEARCH METHODS: An information specialist searched the literature from 1 January 2000 to 5 May 2020 in CENTRAL, MEDLINE, and Embase. Additionally, we screened the Cochrane COVID-19 Study Register. SELECTION CRITERIA: We included randomised controlled trials (RCTs), cluster-RCTs, quasi-RCTs, cohort studies, cross-sectional studies and modelling studies, in general populations. We preferentially included studies of contact tracing during infectious disease outbreaks (including COVID-19, Ebola, tuberculosis, severe acute respiratory syndrome virus, and Middle East respiratory syndrome) as direct evidence, but considered comparative studies of contact tracing outside an outbreak as indirect evidence. The digital solutions varied but typically included software (or firmware) for users to install on their devices or to be uploaded to devices provided by governments or third parties. Control measures included traditional or manual contact tracing, self-reported diaries and surveys, interviews, other standard methods for determining close contacts, and other technologies compared to digital solutions (e.g. electronic medical records). DATA COLLECTION AND ANALYSIS: Two review authors independently screened records and all potentially relevant full-text publications. One review author extracted data for 50% of the included studies, another extracted data for the remaining 50%; the second review author checked all the extracted data. One review author assessed quality of included studies and a second checked the assessments. Our outcomes were identification of secondary cases and close contacts, time to complete contact tracing, acceptability and accessibility issues, privacy and safety concerns, and any other ethical issue identified. Though modelling studies will predict estimates of the effects of different contact tracing solutions on outcomes of interest, cohort studies provide empirically measured estimates of the effects of different contact tracing solutions on outcomes of interest. We used GRADE-CERQual to describe certainty of evidence from qualitative data and GRADE for modelling and cohort studies. MAIN RESULTS: We identified six cohort studies reporting quantitative data and six modelling studies reporting simulations of digital solutions for contact tracing. Two cohort studies also provided qualitative data. Three cohort studies looked at contact tracing during an outbreak, whilst three emulated an outbreak in non-outbreak settings (schools). Of the six modelling studies, four evaluated digital solutions for contact tracing in simulated COVID-19 scenarios, while two simulated close contacts in non-specific outbreak settings. Modelling studies Two modelling studies provided low-certainty evidence of a reduction in secondary cases using digital contact tracing (measured as average number of secondary cases per index case - effective reproductive number (R eff)). One study estimated an 18% reduction in R eff with digital contact tracing compared to self-isolation alone, and a 35% reduction with manual contact-tracing. Another found a reduction in R eff for digital contact tracing compared to self-isolation alone (26% reduction) and a reduction in R eff for manual contact tracing compared to self-isolation alone (53% reduction). However, the certainty of evidence was reduced by unclear specifications of their models, and assumptions about the effectiveness of manual contact tracing (assumed 95% to 100% of contacts traced), and the proportion of the population who would have the app (53%). Cohort studies Two cohort studies provided very low-certainty evidence of a benefit of digital over manual contact tracing. During an Ebola outbreak, contact tracers using an app found twice as many close contacts per case on average than those using paper forms. Similarly, after a pertussis outbreak in a US hospital, researchers found that radio-frequency identification identified 45 close contacts but searches of electronic medical records found 13. The certainty of evidence was reduced by concerns about imprecision, and serious risk of bias due to the inability of contact tracing study designs to identify the true number of close contacts. One cohort study provided very low-certainty evidence that an app could reduce the time to complete a set of close contacts. The certainty of evidence for this outcome was affected by imprecision and serious risk of bias. Contact tracing teams reported that digital data entry and management systems were faster to use than paper systems and possibly less prone to data loss. Two studies from lower- or middle-income countries, reported that contact tracing teams found digital systems simpler to use and generally preferred them over paper systems; they saved personnel time, reportedly improved accuracy with large data sets, and were easier to transport compared with paper forms. However, personnel faced increased costs and internet access problems with digital compared to paper systems. Devices in the cohort studies appeared to have privacy from contacts regarding the exposed or diagnosed users. However, there were risks of privacy breaches from snoopers if linkage attacks occurred, particularly for wearable devices. AUTHORS' CONCLUSIONS: The effectiveness of digital solutions is largely unproven as there are very few published data in real-world outbreak settings. Modelling studies provide low-certainty evidence of a reduction in secondary cases if digital contact tracing is used together with other public health measures such as self-isolation. Cohort studies provide very low-certainty evidence that digital contact tracing may produce more reliable counts of contacts and reduce time to complete contact tracing. Digital solutions may have equity implications for at-risk populations with poor internet access and poor access to digital technology. Stronger primary research on the effectiveness of contact tracing technologies is needed, including research into use of digital solutions in conjunction with manual systems, as digital solutions are unlikely to be used alone in real-world settings. Future studies should consider access to and acceptability of digital solutions, and the resultant impact on equity. Studies should also make acceptability and uptake a primary research question, as privacy concerns can prevent uptake and effectiveness of these technologies.

Mediating Effects of the 'eCoFit' Physical Activity Intervention for Adults at Risk of, or Diagnosed with, Type 2 Diabetes.

BACKGROUND: The study aim was to examine the mechanisms of physical activity behaviour change in the multi-component eCoFit randomised controlled trial (RCT) among adults diagnosed with, or at risk of, T2D. METHOD: The RCT included two phases: phase 1 (weeks 1-10) integrated group sessions (outdoor physical activity and cognitive mentoring) and the use of the eCoFit smartphone application (app), and phase 2 (weeks 11-20), which included the use of the eCoFit smartphone application only. Participants (n = 84) were assessed at baseline and 10 and 20 weeks from baseline. Physical activity was assessed using pedometers, and the following mediators were tested: action self-efficacy, barrier self-efficacy, recovery self-efficacy, implementation intentions, intention to have regular physical activity, outcome expectations, risk perception and implicit associations related to physical activity. The PROCESS INDIRECT Macro was used to perform mediation analyses. RESULTS: Significant mediation pathways were found for implementation intention measured at 10 weeks, AB (95% CI = 486.04 [128.19, 1073.42]). No significant pathways were found for the other social-cognitive and implicit attitudinal mediators. CONCLUSION: Increased daily steps among the intervention participants were explained by increased implementation intentions. The eCoFit study successfully operationalised implementation intentions in the smartphone app designed to promote outdoor physical activity. TRIAL REGISTRATION: The trial was approved by a University Human Research Committee and is registered with the Australian New Zealand Clinical Trial Registry (ACTRN12615000990527).

Preliminary efficacy and feasibility of referral to exercise specialists, psychologists and provision of a technology-based behavior change support package to promote physical activity in school teachers 'at risk' of, or diagnosed with, type 2 diabetes: The 'SMART Health' Pilot Study Protocol.

INTRODUCTION: Type 2 diabetes mellitus (T2DM) is a global public health concern. Aerobic physical activity (PA) and resistance training (RT) play significant roles in the prevention and management of T2DM. The aim of this pilot trial is to determine the preliminary efficacy and confirm feasibility of referral to exercise physiologists, psychologists, and provision of a technology-based behavior change support package to promote aerobic PA and RT in school teachers 'at risk' of or diagnosed with T2DM. RESEARCH DESIGN AND METHODS: The SMART (Support, Motivation and Physical Activity Research for Teachers') Health pilot study will be evaluated using a three-arm randomized controlled trial. The intervention will be guided by Social Cognitive Theory, Health Action Process Approach Model and Cognitive Behavioral Therapy strategies. The participants will be randomly allocated to one of three study groups: Group 1: wait-list control group; Group 2: 5 face-to-face visits with a psychologist and exercise specialist over 3 months; and Group 3: same as Group 2 plus technology-based behavior change support package for an additional 6 months. Assessments will be conducted at baseline, 3-, 9- (primary time-point) and 18-months post-baseline. The primary outcome will be PA measured with pedometers. DISCUSSION: SMART Health is an innovative, multi-component intervention, that integrates referral to exercise specialists, psychologists and provision of a technology-based behavior support package to promote PA and RT in adults diagnosed with T2DM or 'at risk' of T2DM. The findings will be used to guide future PA interventions and to develop effective community-based diabetes prevention and treatment programs. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry No: ACTRN12616001309471.

Targeting the link between loneliness and paranoia via an interventionist-causal model framework.

Targeting the antecedents of paranoia may be one potential method to reduce or prevent paranoia. For instance, targeting a potential antecedent of paranoia - loneliness - may reduce paranoia. Our first research question was whether loneliness heightens subclinical paranoia and whether negative affect may mediate this effect. Second, we wondered whether this potential effect could be targeted via two interventionist pathways in line with an interventionist-causal model approach: (1) decreasing loneliness, and (2) intervening on the potential mediator - negative affect. In Study 1 (N = 222), recollecting an experience of companionship reduced paranoia in participants high in pre-manipulation paranoia but not in participants low in pre-manipulation paranoia. Participants recollecting an experience of loneliness, on the other hand, exhibited increased paranoia, and this effect was mediated by negative affect. In Study 2 (N = 196), participants who utilized an emotion-regulation strategy, cognitive reappraisal, to regulate the negative affect associated with loneliness successfully attenuated the effect of loneliness on paranoia. Targeting the effect of loneliness on paranoia by identifying interventionist pathways may be one promising route for reducing and preventing subclinical paranoia.

Integrating smartphone technology, social support and the outdoor physical environment to improve fitness among adults at risk of, or diagnosed with, Type 2 Diabetes: Findings from the 'eCoFit' randomized controlled trial.

The risk and prevalence of Type 2 Diabetes (T2D) has dramatically increased over the past decade. The aim of this study was to develop, implement and evaluate a physical activity intervention to improve aerobic and muscular fitness among adults at risk of, or diagnosed with T2D. A 20-week, assessor blinded, parallel-group randomized controlled trial (RCT) was conducted at the University of Newcastle (June-December 2015). Adults were randomized to the intervention (n=42) or wait-list control group (n=42). The theory-based intervention included: Phase 1 (weeks 1-10) integrated group sessions (outdoor physical activity and cognitive mentoring), and the eCoFit smartphone application (app). Phase 2 (weeks 11-20) only included the eCoFit app. Participants were assessed at baseline, 10weeks and 20weeks. Linear mixed models (intention-to-treat) were used to determine group-by-time interactions at 10weeks (primary time-point) and 20weeks for the primary outcomes. Several secondary outcomes were also assessed. After 10weeks, significant group-by-time effects were observed for aerobic fitness (4.5mL/kg/min; 95% CI [1.3, 7.7], d=0.68) and muscular fitness (lower body) (3.4 reps, 95% CI [2.7, 4.2], d=1.45). Intervention effects for secondary outcomes included significant increased physical activity (1330steps/week), improved upper body muscular fitness (5 reps; arm-curl test), improved functionality (-1.8s; timed-up and go test) reduced waist circumference (2.8cm) and systolic blood pressure (-10.4mmHg). After 20weeks, significant effects were observed for lower body muscular fitness and health outcomes. eCoFit is an innovative lifestyle intervention which integrates smartphone technology, social support, and the outdoor environment to improve aerobic and muscular fitness.

Rationale and study protocol for the 'eCoFit' randomized controlled trial: Integrating smartphone technology, social support and the outdoor physical environment to improve health-related fitness among adults at risk of, or diagnosed with, Type 2 Diabetes.

INTRODUCTION: The prevalence and risk of Type 2 Diabetes (T2D) has dramatically increased over the past decade. Physical activity (PA) has significant benefits for the treatment and prevention of T2D. The aim of this study is to develop, implement and evaluate a community-based PA intervention to improve aerobic and muscular fitness among adults at risk of, or diagnosed with T2D. RESEARCH DESIGN AND METHODS: The eCoFit pilot intervention will be evaluated using a randomized controlled trial (RCT) design. The 20-week (Phases 1 and 2) multi-component intervention was guided by Social Cognitive Theory, Health Action Process Approach Model, and Cognitive Behavior Therapy strategies. Phase 1 (Weeks 1-10) includes: i) 5 group face-to-face sessions consisting of outdoor training and cognitive mentoring; and ii) the use of the eCoFit smartphone application with a description of where and how to use the outdoor environment to be more physically active. Phase 2 (Weeks 11-20) includes the use of the eCoFit smartphone application only. Assessments are to be conducted at baseline, 10-weeks (primary end-point) and 20-weeks (secondary end-point) post-baseline. Primary outcomes are cardio-respiratory fitness and muscular fitness (lower body). Secondary outcomes include physical, behavioral, mental health and quality of life, and social-cognitive outcomes. DISCUSSION: eCoFit is an innovative, multi-component intervention, which integrates smartphone technology, social support and the outdoor physical environment to promote aerobic and resistance training PA among adults at risk of, or diagnosed with T2D. The findings will be used to guide future interventions and to develop and implement effective community-based prevention programs. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry No: ACTRN12615000990527.