Digital interventions to foster resilience in working populations – a systematic review and meta-analysis

Societies are exposed to major challenges at an increasing pace. This underscores the need for preventive measures such as resilience promotion that should be available in time and without access barriers. Our systematic review summarizes evidence on digital resilience interventions, which have the potential to meet these demands. We searched five databases for randomized-controlled trials in non-clinical adult populations. Primary outcomes were mental distress, positive mental health, and resilience factors. Multilevel meta-analyses were performed to compare intervention and control groups at post-intervention and follow-up assessments. We identified 101 studies comprising 20,010 participants. Meta-analyses showed small favorable effects on mental distress, SMD = –0.24, 95% CI [–0.31, –0.18], positive mental health, SMD = 0.27, 95% CI [0.13, 0.40], and resilience factors, SMD = 0.31, 95% CI [0.21, 0.41]. Among middle-aged samples, older age was associated with more beneficial effects at follow-up, and effects were smaller for active control groups. Effects were comparable to those of face-to-face interventions and underline the potential of digital resilience interventions to prepare for future challenges.

BackgroundThe concept of job crafting and work engagement, which encompasses the proactive modifications that employees make to their tasks, relationships, perceptions, and level of involvement in their work, has been demonstrated to exert a significant influence on both mental and physical health. For nurses working in palliative care, the implementation of such modifications and active engagement in their roles could serve to mitigate the demanding nature of their work and improve their overall well-being. Nevertheless, there is a paucity of research examining the combined impact of job crafting and work engagement on the health outcomes of palliative care nurses.AimThis study aimed to evaluate the relationship between job crafting, work engagement, and the mental and physical health outcomes of palliative care nurses in an oncology setting.MethodsA cross-sectional design was used to examine the relationships between job crafting (independent variable), work engagement (mediating variable), and health outcomes (dependent variables: physical and mental health). Mediation analysis was conducted to explore the role of work engagement in the relationship between job crafting and health outcomes. The study was conducted in the oncology department of Zagazig General Hospital in Egypt, with a stratified random sample of 100 registered nurses who had at least six months of experience in palliative care. Data were collected using the Job Crafting Scale (JCS), Utrecht Work Engagement Scale (UWES), the Depression, Anxiety, and Stress Scales (DASS-21), and the Short Form-36 Health Survey (SF-36).ResultsThe study revealed a positive correlation between job crafting behaviours and physical health (r = 0.52, p < 0.001) and a negative correlation between job crafting behaviors and mental health distress (r = -0.56, p < 0.001). The structural equation modeling (SEM) results demonstrated significant paths from job crafting to both physical health (β = 0.40) and mental health distress (β = -0.45), indicating that job crafting positively affects physical health and negatively affects mental health distress. Mediation analysis revealed that work engagement significantly mediated the relationship between job crafting and health outcomes. Specifically, higher work engagement positively influenced health outcomes, while the negative effects of job crafting on mental health distress were lessened.ConclusionJob crafting positively impacts the physical and mental well-being of palliative care nurses by fostering greater work engagement. This engagement mediates the relationship between job crafting and health outcomes, enabling nurses to better cope with occupational stressors. By adapting their work environment to suit their strengths and preferences, nurses experience improved health and job satisfaction. As a result, higher work engagement not only enhances nurse well-being but also contributes to better patient care, as engaged nurses are more capable of providing compassionate, effective care.Clinical trialNo clinical trial.

Objective: This study aimed to examine the mental health and somatic distress among migrant returnee population in Ethiopia. Background: Mental health and psychosocial distress are frequent among people who have faced adversity, such as exposure to abuse, exploitation, loss, displacement, and human trafficking. Returned Migrants are the most vulnerable population for such adversities, especially when they work in under-regulated sectors such as domestic work entered through illegal migration. Addressing the mental health issues of returnees has to be a cross- cutting activity of any migration -crisis intervention. However, knowledge about the frequency, severity, and risk factors as they affect migrants' mental health in Ethiopian is limited at best. Method: In a sample of 1,035 returnee migrants, data were collected on the mental distress based on SRQ-20 and somatic distress based on PHQ-15. A descriptive statistics correlation, t-test, and factorial MANOVA analysis were run to determine the distress status and the relationship between different variables. Results: Using a cut of point of 8, 26.08% of the sample was considered to be a probable case (n=270), with females endorsing more items than males. Twenty- three percent (11.7%, Mild; 8.2% Moderate; and 3% Sever) of the participants reported somatic manifestation of psychological distress. A significant relationship is found between participants' mental health distress and somatic psychological distress. Religious affiliation and ethnicity are found to be associated with mental health distress, while gender and education are found to be significantly associated with somatic psychological distress. Conclusion: Ethiopian migrant returnees deal with significant mental health distress and endorsed somatic symptoms in outpatient setting. Migrant returnees should access to a mental health service that is exclusively geared towards their mental health problems instead of clustering them together under the umbrella of general health services. Future studies are needed into the nature and efficacy of mental healthcare intervention in Ethiopia.

Workplace step count challenges show promise with regard to increasing physical activity, with walking linked to many positive physical and mental health benefits. Few studies have investigated their effects on work-related outcomes. The aim of this study was to describe (1) the process of collecting work-related outcomes as part of a real-world workplace intervention, the Step Count Challenge, and (2) report step counts and work-related outcomes (productivity, perceived stress and work engagement) during the Step Count Challenge. This pre-post study was conducted as part of a four-week 2018 National Step Count Challenge (SCC) in Scotland, UK. A survey was administered to collect self-reported steps, productivity (HWQ), perceived stress (Cohen Perceived Stress Scale) and work engagement (UWES) on the week prior to the intervention starting (baseline), week 1 and week 4. Process data such as recruitment and response rates were monitored throughout. Of 2042 employees who signed up to the SCC, baseline data were reported for 246 (12% of total; mean age 42.5 years, 83% female). Process data suggest low uptake to the study and poor compliance between surveys time points. Preliminary data suggest positive changes in step counts (3374 steps/day by week 4), stress and productivity. No changes in work engagement were found. The findings highlight the need to integrate research more effectively into real-world interventions, including a true baseline period. The Step Count Challenge may have positive change on some work-related outcomes warranting further investigation into how robust research designs can be delivered without negatively influencing real-world interventions.

Relationships between leisure time physical activity, physical fitness and mental health among young adult males

BackgroundMental health has become an increasingly significant issue in the workplace. Non–health care workers are experiencing increased levels of psychological symptoms in their workplaces, especially during the COVID-19 pandemic, which limited social interactions and health service access. These conditions have a negative effect on employees’ mental health and may also be associated with work-related outcomes, such as reduced levels of work engagement. Cognitive behavioral therapy (CBT) is one of the most effective methods used for treating workers with mental illness and preventing work-related psychological outcomes. The delivery of internet-based CBT (iCBT) has been established as a result of both technological improvements that have influenced health promotion and prevention components, and limited social contact and health service access.ObjectiveThe purpose of this systematic review is to synthesize the best available evidence concerning the preventive effect of iCBT on employees.MethodsA systematic search will be conducted across 12 electronic databases, including a hand search for main journals and reference lists. Randomized controlled trials testing the effects of iCBT on psychological outcomes and work engagement among employees will be eligible. Initial keywords will cover the concepts of employees, workers, non–health care personnel, internet-based, web-based, eHealth cognitive behavioral interventions, stress, depression, anxiety, and work engagement, and then a full search strategy will be developed. Following titles, abstracts and the full text will be screened for assessment against the inclusion criteria for the review. Search results will be fully reported and presented per Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Two independent reviewers will screen and extract data, appraise methodological quality using the Cochrane risk-of-bias assessment tool, and assess overall quality of evidence with the Grading of Recommendations Assessment, Development, and Evaluation approach. A random effects meta-analysis and standardized mean differences using review manager software will be applied to synthesize the effect of iCBT based on similar outcomes.ResultsThis protocol was registered in the International Prospective Register of Systematic Reviews in March 2022 and is now an ongoing process. The data will be analyzed in August 2022, and the review process should be completed by December 2022. All included studies will be synthesized and presented to demonstrate the effectiveness of iCBT in decreasing psychological distress and optimizing work engagement outcomes among employees.ConclusionsAccording to the findings of this study, iCBT therapies will be used to promote mental health concerns such as depressive symptoms, anxiety, psychological distress, stress, insomnia, and resilience among non–health care professionals. In addition, the results will be used to ensure the policy related to reducing psychological distress and optimizing work engagement in the workplace.International Registered Report Identifier (IRRID)PRR1-10.2196/38597

Digital health technology provides opportunities to leverage artificial intelligence and other digital applications to promote cardiovascular health. Digital health technologies include artificial intelligence (such as machine learning [ML], neural networks),1 analytic systems, mobile apps, wearables, email, text messaging, and telemedicine.2 In this article, we review the role of digital technology in cardiovascular health and a selection of recent studies to evaluate the evidence of its effectiveness. Artificial intelligence is broadly defined as the capability of computer systems to perform tasks similar to humans.3 Examples include vision, speech, pattern recognition, and decision making. Machine learning is the ability of the computer program to learn from experience. This typically occurs from analysis of large sets of data processed through human-derived algorithms to enhance, predict, and explain outcomes.4 An example of the use of ML in clinical care is cardiovascular disease (CVD) prediction and electrocardiographic interpretation. Neural networks, named after the human nervous system, are nonlinear statistic models that control where signals are sent. Neural networks can be used for decision making such as cardiovascular diagnosis confirmation. Digital Technology Use in Cardiovascular Risk Assessment Several studies have demonstrated improved CVD risk factor identification using ML compared with traditional risk assessment tools. Researchers developed an ML risk calculator and compared it with the American College of Cardiology/American Heart Association CVD risk calculator in 6459 participants from the Multi-Ethnic Study of Atherosclerosis.5 Study participants were free of CVD at baseline and followed for 13 years. Results revealed that the American College of Cardiology/American Heart Association risk calculator was less precise: statin therapy was recommended to 46% of the sample, with 23.8% of CVD events occurring in those not recommended a statin. In comparison, the ML risk calculator recommended a statin to 11% of the sample, with 14.4% of CVD events occurring in those not recommended a statin.5 Similarly in 3 cohorts from Australia, 4 ML models were developed and compared with the 2008 Framingham model. The ML models provided 2.7% to 5.2% better predictions across all 3 cohorts.6 Taken together, the authors of these studies suggest ML provides promise in providing more precise estimates of CVD risk. Digital Health Interventions for Cardiovascular Disease Prevention Digital health interventions have the potential to provide a personalized approach to promote cardiovascular health. Behavior change theory is a key component of digital interventions and includes theoretical frameworks such as supportive accountability,7 self-efficacy theory,8 social cognitive theory, and the health belief model.9 Precision healthcare has been promoted for decades. Many of the challenges in operationalizing precision healthcare are healthcare accessibility, scheduling, care continuity, and inadequate knowledge exchange between provides and patients.10 Thus, promotion of healthy lifestyles and lifestyle risk factor reduction remain inadequately addressed in patients with CVD.11 To achieve sustainable change, individual-level personalized strategies may be leveraged through digital health interventions. Evidence of the effectiveness of digital health interventions has varied but is promising overall. Text messaging has been successfully used to provide information regarding healthy diet and physical activity recommendations, monitoring, and individual feedback. Text messaging has resulted in improvements in diet and activity in many (TextMe,12 Mobile MyPlate,13 MyQuest,14 Text-To-Move15), but not all studies.16 Smartphone/mobile apps have been designed to improve dietary and physical activity behavior. Examples include apps that track dietary patterns and activity through user input of text or visual images.17,18 Users can set their own goals and receive feedback on progress toward goals. Reviews of smartphone apps have had variable results with many demonstrating short-term improvement. Villinger et al19 conducted a systematic review and meta-analysis of the effectiveness of mobile app interventions on nutrition behaviors (41 studies, 27 randomized controlled trials [RCTs]). Findings revealed significantly improved nutrition behaviors and nutrition-related outcomes (P = .004 and P = .043, respectively). A second systematic review of 27, primarily RCTs, found significant between-group improvements in 19 of the 27 studies.20 A meta-analysis of 6 RCTs in adults using a smartphone app as the primary component of the intervention revealed a trend for more steps per day in the intervention compared with the control groups, with programs lasting less than 3 months more effective than longer programs.21 Taken together, text messaging and smartphone/mobile apps have the potential to improve lifestyle behaviors associated with cardiovascular health. The addition of strategies to increase sustainability of the effects needs to be assessed. Digital Health Interventions: Primary and Secondary Prevention Widmer et al2 conducted a meta-analysis of 51 RCTs and cohort studies using digital health interventions for the prevention of CVD events and risk factor modification. Subgroup analyses of primary prevention studies (2 studies) did not provide evidence of a statistically significant reduction in CVD outcomes. However, evaluation of individual risk factors in primary prevention studies found a significant reduction in weight (11 studies; −3.35 lb), systolic blood pressure (23 studies; mean difference, −2.12 mm Hg), total cholesterol (13 studies; mean difference, −5.19 mg/dL), low-density lipoprotein cholesterol (8 studies; mean difference, −4.96 mg/dL), and glucose (6 studies; mean difference, −1.38 mg/dL).2 A subgroup analysis of secondary prevention studies demonstrated a significant impact of digital interventions on CVD outcomes (relative risk, 0.60; a 40% relative risk reduction), improvement in body mass index (6 studies; mean difference, −0.31 kg/m2) but no improvement in weight, systolic blood pressure, total cholesterol, low-density lipoprotein cholesterol, and glucose. Taken together, this meta-analysis suggested that digital interventions were beneficial not only in lowering CVD events in higher-risk patients but also in lowering risk factors in primary prevention approaches.2 In a second meta-analysis conducted by Akinosun et al,11 researchers analyzed 25 RCTs in patients with traditional CVD risk factors who received a digital intervention versus usual care.11 Findings revealed benefits in total cholesterol (mean difference, −0.29), high-density lipoprotein cholesterol (mean difference, −0.09), low-density lipoprotein (mean difference, 0.18), physical activity (mean difference 0.23), physical inactivity (relative risk, 0.54), and diet (relative risk, 0.79). There was no significant improvement in body mass index, systolic and diastolic blood pressure, hemoglobin A1C, alcohol intake, smoking, and medication adherence. Authors concluded that digital interventions were more effective at improving healthy behaviors than reducing unhealthy behaviors. In patients who experienced a myocardial infarction, a digital health intervention providing medication reminders, vital sign and activity tracking, education, and outpatient care coordination resulted in a 52% lower 30-day readmission rate compared with usual care.22 Sociodemographic characteristics (age, sex, and race) did not influence use of the digital intervention, highlighting a potential role for digital interventions in the promotion of equity in social determinants of health.23 Digital Health Interventions in Cardiac Rehabilitation Cardiac rehabilitation is an essential component of secondary prevention of CVD.24 Some patients face barriers in participation in cardiac rehabilitation due to physical accessibility, time, and travel.25 Digital health interventions have the potential to bridge these barriers and increase participation. Digital delivery of cardiac rehabilitation therapy with real-time personalized support has several advantages.26 In a systematic review of 31 studies in which authors examined digital health interventions for cardiac rehabilitation, the results revealed that cardiac rehabilitation program adherence was greater in patients using digital interventions than traditional methods alone. Secondary benefits were found in self-efficacy, weight management, diet, and quality of life. Taken together, digital cardiac rehabilitation was feasible and effective whether used alone or in combination with traditional cardiac rehabilitation.26 Conclusion Digital health technology is an evolving field with tremendous potential to improve cardiovascular health. Cardiovascular disease remains the major cause of death in the United States. The age-adjusted mortality rate has increased in the last decade. More people died from CVD causes in 2020 (nearly 900 000 deaths) than any year since 2003.27 Opportunities to reduce CVD and CVD risk have not been fully leveraged, and digital technology interventions have the potential to meet this need. Digital health technology also has the potential to provide equitable and personalized care. Device data, electronic medical record data, and social determinants of health data provide an opportunity to combine and identify longitudinal trends and risk factors before CVD begins. In the future, large data sets can be created that can be analyzed using ML to identify patterns and structures within and among the data to provide a more robust risk assessment to promote CVD prevention.

Previous systematic reviews of digital eating disorder interventions have demonstrated effectiveness at improving symptoms of eating disorders; however, our understanding of how these interventions work and what contributes to their effectiveness is limited. Understanding the behavior change techniques (BCTs) that are most commonly included within effective interventions may provide valuable information for researchers and developers. Establishing whether these techniques have been informed by theory will identify whether they target those mechanisms of action that have been identified as core to changing eating disorder behaviors. It will also evaluate the importance of a theoretical approach to digital intervention design. This study aims to define the BCTs within digital self-management interventions or minimally guided self-help interventions for adults with eating disorders that have been evaluated within randomized controlled trials. It also assessed which of the digital interventions were grounded in theory and the range of modes of delivery included. A literature search identified randomized controlled trials of digital intervention for the treatment of adults with eating disorders with minimal therapist support. Each digital intervention was coded for BCTs using the established BCT Taxonomy v1; for the application of theory using an adapted version of the theory coding scheme (TCS); and for modes of delivery using the Mode of Delivery Ontology. A meta-analysis evaluated the evidence that any individual BCT moderated effect size or that other potential factors such as the application of theory or number of modes of delivery had an effect on eating disorder outcomes. Digital interventions included an average of 14 (SD 2.6; range 9-18) BCTs. Self-monitoring of behavior was included in all effective interventions, with Problem-solving, Information about antecedents, Feedback on behavior, Self-monitoring of outcomes of behavior, and Action planning identified in >75% (13/17) of effective interventions. Social support and Information about health consequences were more evident in effective interventions at follow-up compared with postintervention measurement. The mean number of modes of delivery was 4 (SD 1.6; range 2-7) out of 12 possible modes, with most interventions (15/17, 88%) being web based. Digital interventions that had a higher score on the TCS had a greater effect size than those with a lower TCS score (subgroup differences: χ21=9.7; P=.002; I²=89.7%) within the meta-analysis. No other subgroup analyses had statistically significant results. There was a high level of consistency in terms of the most common BCTs within effective interventions; however, there was no evidence that any specific BCT contributed to intervention efficacy. The interventions that were more strongly informed by theory demonstrated greater improvements in eating disorder outcomes compared to waitlist or treatment-as-usual controls. These results can be used to inform the development of future digital eating disorder interventions. PROSPERO CRD42023410060; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=410060.

University students typically enter a dynamic transitional period of new independence from their parents that are characterized by many factors. These factors such as social, financial, and environment can be a burden and puts them at risk of mental health distress. Engaging in physical activity has proved to give benefits to mental health. However, not many university students are active during their years at the university. Few psychosocial factors such as emotional intelligence were seen to increased students physical activity and decrease mental distress. Therefore, the purpose of the study is to see whether emotional intelligence can mediate the relationship between physical activity and mental health (distress) among university students at Universiti Putra Malaysia, Malaysia. A correlation study with path analysis was conducted on 266 students at Universiti Putra Malaysia. Few instruments were used such as International Physical Activity Questionnaire SF (IPAQ-SF), General Health Questionnaire-28 (GHQ-28), and Schutte Self Report Emotional Intelligence Test (SSEIT) was used in this study. Path analysis was used to explore association between these aspects. Physical activity, mental health distress and emotional intelligence were significantly correlated and emotional intelligence showed partial mediation effect towards the relationship between physical activity and mental health distress (p<0.00). Thus, there was an association between physical activity with mental health distress, and emotional intelligence partially mediated this relationship. We interpret these novel data to suggest that physical activity can boost mental health and these physical activity-associated of emotional intelligence relevantly gives benefits in mental health. Such data have important implications for both health practice and policy especially in higher education institutions. Keywords : Emotional intelligence, physical activity, mental health, undergraduate students.

This cross-sectional study investigated the relationship between 24-hour movement behaviors and mental health among Japanese workers, accounting for the co-dependence of time spent in different behaviors during a single day. This research is part of a prospective cohort study called the Meiji Yasuda LifeStyle study. Participants were 1095 workers in Tokyo, Japan, who underwent annual health check-ups between 2017 and 2018. Time use during workdays and non-workdays was separately evaluated. Behaviors included sleep (self-reported duration), sedentary behavior (SB), light-intensity physical activity (LPA), and moderate- to vigorous-intensity physical activity (assessed with a tri-axial accelerometer). We used the six-item Kessler Psychological Distress scale to evaluate psychological distress and the Utrecht Work Engagement Scale to assess work engagement as indicators for negative and positive mental health, respectively. We performed compositional logistic regression and compositional isotemporal substitution to examine associations between 24-hour movement behaviors and mental health. After controlling for potential confounders, time spent in workdays was significantly associated with higher psychological distress and lower work engagement (p<0.05), respectively. Time spent sleeping was positively correlated with both mental health indicators, whereas time spent in SB or LPA was negatively correlated (p<0.05). During workdays, higher psychological distress and lower work engagement were predicted to be 11.4-26.6% lower when 60min/day of time spent sleeping were reallocated to SB or LPA. Reallocating time spent on SB or LPA to sleep during workdays may minimize psychological distress and optimize work engagement. Thus, proper time management focused on encouraging sleep may help improve workers' mental health.

WHAT IS KNOWN ON THE SUBJECT?: The shortage of psychiatric nurses has become a focus problem attracting widespread concern. And the continuous improvement of quality of psychiatric care has always been a priority in psychiatric units. Previous studies about nurses from general hospitals indicated nursing work environment was a key factor affecting work-related outcomes, but little attention was paid to psychiatric nurses and few studies focused on the five specific dimensions of nursing work environment. WHAT THE PAPER ADDS TO EXISTING KNOWLEDGE?: Nurse participation in hospital affairs was the dimension with the highest proportion of participants dissatisfied. Nursing work environment and all its five dimensions had significant effects on work-related outcomes, which were partly mediated by work engagement. For nurse-perceived quality of care, collegial nurse-physician relations showed the largest effect; while for turnover intention, the two dimensions of nurse participation in hospital affairs and nursing foundations for quality of care showed larger effects. WHAT ARE THE IMPLICATIONS FOR PRACTICE?: Corresponding measures should be taken to improve nursing work environment, especially in the aspect of nurse participation in hospital affairs by promoting nurses' ability to participate, arousing their motivation to participate and offering them more opportunities to participate. Harmonious collegial relationship should be built by creating an atmosphere of equality, respect and collaboration, and enhancing the communication between doctors and nurses. Nursing foundations for quality of care need to be further improved through setting appropriate rules and regulations to ensure the quality of care and offering more opportunities to support nursing staff's growth and development. ABSTRACT: Introduction With the increasing demand for high-quality psychiatric care, it is imperative to improve psychiatric nurses' work engagement and work-related outcomes. Nursing work environment has been identified as a protective factor in non-psychiatric nurses, but little was known about psychiatric nurses. Aims To identify the situation of nursing work environment, work engagement, nurse-perceived quality of care and turnover intention among psychiatric nurses, and examine the relationship among them. Methods A cross-sectional design was adopted. Questionnaire investigation was implemented among psychiatric nurses from 43 clinical units. Structural equation modelling and path analysis were used to examine the causal relationship among variables. Results The results showed 19.06% of participants were not satisfied with the overall work environment and 24.34% were not satisfied with the dimension of nurse participation in hospital affairs. Hypothesis testing results indicated that nursing work environment and its five dimensions had positive effects on nurse-perceived quality of care and negative effects on turnover intention, which were both partly mediated by work engagement. Discussion Supportive nursing work environment could improve nurses' work engagement, enhance nurse-perceived quality of care and reduce nurses' turnover intention. Implications for Practice Continuous efforts should be paid to the improvement of nursing work environment in psychiatric hospitals.

This study investigated the mental health of people with psoriasis undergoing patient education in climate therapy. A prospective design included a baseline assessment and two follow-ups after a 3-week patient education program. Participants were 254 adults. Positive mental health was measured by the mental health continuum short form (0-70), and negative mental health by the emotional distress subscale (1-4) of the health education impact questionnaire. Paired-samples t-tests were used to evaluate changes in mental health from baseline to follow-up. Multiple linear regression was used to analyse the ability of socio-demographic and clinical variables and emotional distress to predict changes in positive mental health. To predict change in negative mental health we repeated the same analysis but with a change in negative mental health as a dependent variable and positive mental health as an independent variable. The results show that positive mental health and health-related emotional distress improved significantly from before to after the intervention by 7.1 points, p<0.001 and 0.21 points, p<0.001) respectively. At the second follow-up, health-related emotional distress remained significantly improved compared with baseline levels by 0.11 points, p=0.004. The longer participants had lived with psoriasis (β =146, p=0.027), and the presence of co-morbid health problems (β = 111, p=0.051) the greater the improvement in the positive mental health immediately after the intervention. No predictors were identified for negative mental health. This study indicates that the promotion of positive mental health needs to be integrated into the climate therapy program, and sustained in their home context.

Indonesia is now experiencing abnormal severe hot weather, where El-Nino causes the increasing temperature to be above the average. Although El Nino is a common phenomenon that occurs naturally, climate change factors exacerbate the adverse impact of El Nino on human life. Many studies have presented empirical evidence on how climate change significantly affects individuals’ mental health, distress, burnout, and other related psychological wellbeing. However, little attention has been paid to the relationship between students’ psychological wellbeing and climate change, especially in Indonesia. This research aims to understand how environmental aspects can harm students’ psychological wellbeing, by measuring the correlation between climate change, mental health, and psychological distress. The variables that will be observed in this research are climate change exposure, pro-environmental behaviour, psychological distress, and positive mental health. Using the online survey method, the respondents of this research will be undergraduate students from many different universities in Indonesia. This research is expected to present the negative impact of climate change on positive mental health and psychological distress, which is moderated by environmental awareness.

BackgroundChronic painful conditions have an important influence on the ability to work. Work-related outcomes, however, are not commonly reported in publications on trials investigating the treatment of chronic painful conditions. We aim to provide an overview of the reporting of work-related outcomes in such trials and investigate the relationship between work-related outcomes and pain outcomes.MethodsWe conducted a systematic literature search in PubMed with the aim of identifying randomised placebo-controlled clinical trials investigating treatments for chronic painful conditions or rheumatic diseases that also reported on work-related outcomes. Methodological study quality was assessed with the Oxford Quality Scale (OQS). Meta-analyses were conducted for the outcomes of interference with work and number of patients with at least 30% reduction in pain intensity (30% pain responders). The correlation between work-related and pain outcomes was investigated with regression analyses.ResultsWe included 31 publications reporting on 27 datasets from randomised placebo-controlled trials (with a total of 11,434 study participants) conducted in chronic painful or rheumatic diseases and reporting on work-related outcomes. These 31 publications make up only about 0.2% of all publications on randomised placebo-controlled trials in such conditions. The methodological quality of the included studies was high; only nine studies scored less than four (out of a maximum five) points on the OQS. Sixteen different work-related outcomes were reported on in the studies. Of 25 studies testing for the statistical significance of changes in work-related outcomes over the course of the trials, 14 (56%) reported a significant improvement; the others reported non-significant changes. Eight studies reported data on both interference with work and 30% pain responders: meta-analyses demonstrated similar, statistically significant improvements in both these outcomes with active therapy compared to placebo and regression analysis showed that these outcomes were correlated.ConclusionsDespite the importance of pain as a reason for decreased ability to work, work-related outcomes are reported in substantially less than 1% of publications on placebo-controlled trials in chronic painful and rheumatic diseases. Work-related outcomes and pain responder outcomes are closely related.

The study aimed to review the evidence about existing digital interventions for childhood cancer survivors and examine their effectiveness on health outcomes. Systematic review and meta-analysis. PUBMED, EMBASE, Cochrane, CINAHL, Web of Science, PsycArticles, SCOPUS and PQDT Global databases were searched, and the date last searched was 16 September 2019. This systematic review followed PRISMA guidelines. Randomized and nonrandomized controlled trials, as well as before-and-after studies, were included. The main outcomes were health-related quality of life and moderate-to-vigorous physical activity. Two authors independently reviewed included studies and assessed methodological quality. Meta-analysis was conducted using statistical software STATA 16.0. Out of the eight eligible studies, four were included in the meta-analysis. The digital self-management interventions were not effective on health-related quality of life and moderate-to-vigorous physical activity. Additionally, the digital self-management interventions increased the moderate-to-vigorous physical activity over time but was not statistically significant. There is insufficient evidence on the effectiveness of digital self-management interventions in improving health outcomes among childhood cancer survivors. Future randomized controlled trials should be conducted from multiple locations and should include objective measures and means to encourage interaction with health care providers. Digital interventions are increasingly implemented to improve health outcomes among childhood cancer survivors, but their results are inconsistent. Well-designed digital interventions may be beneficial for this population over time. The recommendations proposed in the current review may be useful for developing digital interventions and designing related studies in the future, thereby reducing late effects and improving healthy behaviours among this population.