Background: Promulgating a continuum model of mental health and mental illness has been proposed as a way to reduce stigma by decreasing notions of differentness. This systematic review and meta-analysis examines whether continuum beliefs are associated with lower stigma, and whether continuum interventions reduce stigma.Methods: Following a pre-defined protocol (PROSPERO: CRD42019123606), we searched three electronic databases (PubMed, Web of Science, and PsycINFO) yielding 6726 studies. After screening, we included 33 studies covering continuum beliefs, mental illness, and stigma. Of these, 13 studies were included in meta-analysis.Results: Continuum beliefs are consistently associated with lower stigma. Interventions were effective at manipulating continuum beliefs but differ in their effects on stigmatising attitudes.Conclusions: We discuss whether and to what extent attitudes towards people with mental illness can be improved by providing information on a mental health-mental illness continuum. It appeared to be relevant whether interventions promoted a feeling of ‘us’ and a process of identification with the person with mental illness. We discuss implications for the design of future interventions.

Background: Only about half the people with depression seek professional health care services. To constitute the different predictors and associating variables of health care utilisation, we model the process and aim to test our hypothesised Seeking Mental Health Care Model. The model includes empirical influences on the help-seeking process to predict actual behaviour and incorporates superordinate (stigma, treatment experiences) as well as intermediate attitudinal variables (continuum and causal beliefs, depression literacy and self-efficacy). Method: All variables are examined in an online study (baseline, three- and six-month follow-up). The sample consisted of adults with depressive symptoms (PHQ-9 sum score ≥ 8), currently not receiving mental health care treatment. To examine the prediction of variables explaining help-seeking behaviour, a path model analysis was carried out (lavaan package, software R). Results: Altogether, 1368 participants (M_age = 42.38, SD_age = 15.22, 65.6% female) were included, 983 participating in at least one follow-up. Model fit was excellent (i.e., RMSEA = 0.059, CFI = 0.989), and the model confirmed most of the hypothesised predictions. Intermediary variables were significantly associated with stigma and experiences. Depression literacy (ß = .28), continuum beliefs (ß = .11) and openness to a balanced biopsychosocial causal model (ß = .21) significantly influenced self-identification (R² = .35), which among the causal beliefs and self-efficacy influenced help-seeking intention (R² = .10). Intention (ß = .40) prospectively predicted help-seeking behaviour (R² = .16). Conclusion: The Seeking Mental Health Care Model provides an empirically validated conceptualisation of the help-seeking process of people with untreated depressive symptoms as a comprehensive approach considering internal influences. Implications and open questions are discussed, e.g., regarding differentiated assessment of self-efficacy, usefulness of continuum beliefs and causal beliefs in anti-stigma work, and replication of the model for other mental illnesses. Trial registration: German Clinical Trials Register: DRKS00023557. Registered 11 December 2020. World Health Organization, Universal Trial Number: U1111–1264-9954. Registered 16 February 2021.

Background: To combat the global COVID-19 pandemic, contact tracing apps have been discussed as digital health solutions to track infection chains and provide appropriate information. However, observational studies point to low acceptance in most countries, and few studies have yet examined theory-based predictors of app use in the general population to guide health communication efforts. Objective: This study utilizes established health behavior change and technology acceptance models to predict adoption intentions and frequency of current app use. Methods: We conducted a cross-sectional online survey between May and July 2020 in a German convenience sample (N=349; mean age 35.62 years; n=226, 65.3% female). To inspect the incremental validity of model constructs as well as additional variables (privacy concerns, personalization), hierarchical regression models were applied, controlling for covariates. Results: The theory of planned behavior and the unified theory of acceptance and use of technology predicted adoption intentions (R2=56%-63%) and frequency of current app use (R2=33%-37%). A combined model only marginally increased the predictive value by about 5%, but lower privacy concerns and higher threat appraisals (ie, anticipatory anxiety) significantly predicted app use when included as additional variables. Moreover, the impact of perceived usefulness was positive for adoption intentions but negative for frequency of current app use. Conclusions: This study identified several theory-based predictors of contact tracing app use. However, few constructs, such as social norms, have a consistent positive effect across models and outcomes. Further research is required to replicate these observations, and to examine the interconnectedness of these constructs and their impact throughout the pandemic. Nevertheless, the findings suggest that promulgating affirmative social norms and positive emotional effects of app use, as well as addressing health concerns, might be promising strategies to foster adoption intentions and app use in the general population.

Purpose: The continuum of mental health/illness has been subject to scientific debate for decades. While current research indicates that continuum belief interventions can reduce mental health stigma and improve treatment seeking in affected populations, no study has yet systematically examined measures of continuum beliefs. Methods: This preregistered systematic review summarizes measures of continuum beliefs. Following the PRISMA statement, three scientific databases (PubMed, PsycInfo and PsycArticles via EBSCOhost, Web of Science) are searched, instruments are described and discussed regarding their scope, and methodological quality. Results: Overall, 7351 records were identified, with 35 studies reporting relevant findings on 11 measures. Most studies examined general population samples and used vignette-based measures. Schizophrenia and depression were most commonly examined, few studies focused on dementia, ADHD, OCD, eating disorders, and problematic alcohol use, or compared continuum beliefs across disorders. Validity was very good for most measures, but reliability was rarely tested. Measures mostly assessed beliefs in the normality of mental health symptoms or the normality of persons with such symptoms but rarely nosological aspects (i.e., categorical v continuous conceptualization of mental disorders). Conclusions: Current research provides psychometrically sound instruments to examine continuum beliefs for a variety of mental disorders. While studies suggest utility for general population samples and mental health professionals, more research is necessary to corroborate findings, for instance, regarding age (e.g., in adolescents), gender, or type of mental disorder. Future research should also compare self-report ratings, and vignette-based measures, include measures of nosological concepts to fully grasp the continuum concept of mental illness. Preregistration: PROSPERO: CRD42019123606.

Traumatic brain injury (TBI) remains one of the leading causes of death and disability worldwide. To better understand its impact on various outcome domains, this study pursues the following: (1) longitudinal outcome assessments at three, six, and twelve months post-injury; (2) an evaluation of sociodemographic, premorbid, and injury-related factors, and functional recovery contributing to worsening or improving outcomes after TBI. Using patient-reported outcome measures, recuperation trends after TBI were identified by applying Multivariate Latent Class Mixed Models (MLCMM). Instruments were grouped into TBI-specific and generic health-related quality of life (HRQoL; QOLIBRI-OS, SF-12v2), and psychological and post-concussion symptoms (GAD-7, PHQ-9, PCL-5, RPQ). Multinomial logistic regressions were carried out to identify contributing factors. For both outcome sets, the four-class solution provided the best match between goodness of fit indices and meaningful clinical interpretability. Both models revealed similar trajectory classes: stable good health status (HRQoL: n = 1944; symptoms: n = 1963), persistent health impairments (HRQoL: n = 442; symptoms: n = 179), improving health status (HRQoL: n = 83; symptoms: n = 243), and deteriorating health status (HRQoL: n = 86; symptoms: n = 170). Compared to individuals with stable good health status, the other groups were more likely to have a lower functional recovery status at three months after TBI (i.e., the GOSE), psychological problems, and a lower educational attainment. Outcome trajectories after TBI show clearly distinguishable patterns which are reproducible across different measures. Individuals characterized by persistent health impairments and deterioration require special attention and long-term clinical monitoring and therapy.

The participation of citizens in creating urban green spaces is a promising approach to promoting health and wellbeing while facilitating the development of equitable cities more prepared for the challenges of climate change. This systematic review provides an overview of the current state of knowledge by synthesizing and summarizing scholarly articles reporting studies on the health effects of participation in green space creation. A review protocol was preregistered on PROSPERO (registration number CRD42023454363). Following PRISMA guidelines, we searched six databases for studies published since 2003. After screening 2676 records, we found 133 studies matching our inclusion criteria and summarized the findings on health effects in qualitative and quantitative research, differentiating between study types, population types, and intervention types. In addition, we explored secondary outcomes mentioned in the included articles. The majority of studies reported positive impacts of participatory green space creation on general, mental, and physical health. Moreover, many studies reported other personal and social benefits. The results of this review indicate that the participatory creation of urban green spaces represents a promising approach to promoting health and wellbeing. Nevertheless, further high-quality, quantitative research is required to gain a more comprehensive understanding of the relationship between participatory green space activities and health, particularly with regard to the benefits of specific intervention types and subpopulations.