Level Of Social Distance Research Articles

Exploring the potential of AI for pragmatics instruction

Large language models (LLM) (e.g., ChatGPT) have garnered massive attention due to their potential to serve as interactive partners for a wide range of teaching and learning activities. In instructed second language acquisition, one potential use of LLMs is for pragmatics instruction. The current study sought to assess ChatGPT’s suitability for this task by analyzing its output in response to 144 DCTs (discourse completion tasks), which test a language learner’s ability to create apologies, requests, and refusals over differential levels of social and power distance, and degrees of imposition. Quantitatively, ChatGPT produced significantly shorter apologies than the other two speech acts (p < .001, R2 = .49), utilizing fewer pragmatic strategies (p < .001, R2 = .38). Closer social distance and greater imposition also resulted in longer responses, with higher imposition also eliciting ChatGPT to use more pragmatic strategies. Qualitatively, human raters scored ChatGPT’s apologies significantly lower in terms of their appropriateness, politeness, and language use, despite there being no statistical differences in ratings for requests and refusals. The main pedagogical implications are that, while ChatGPT offers an attractive option for students looking for more language exposure and interaction outside of the classroom, some degree of skepticism is still required due to its quantitative and qualitative inconsistencies.

Patient racism toward nurses in a divided society: The case of Jews and Arabs in Israel.

This study examines whether racism exists among Jewish and Arab patients in Israel, as reflected in patient preference for receiving treatment from a nurse with the same ethnic background. We examine the relationship between racism and the level of trust in a nurse from a different ethnic group than the patient, as well as the preferred level of social distance, in the context of ongoing conflicts between the Jewish majority and the Arab minority in Israel. A cross-sectional study was conducted using a unique study questionnaire that asked 534 Jewish and 478 Arab respondents to express their preference for an Arab and a Jewish nurse. Among both the Jews and the Arabs, there is a similar tendency of racism toward nurses of the dissimilar ethnic group. This racism was also prevalent among participants who live in a mixed environment or those who studied or are studying and worked or work in a mixed environment. As the trust in nursing staff members from the other group increases, the level of racism decreases. The greater the social distance the participants felt from the members of the other group, the more racist the attitudes they expressed. Both Jews and Arabs preferred to be treated by nurses of their own ethnic group. In contrast to the contact hypothesis theory, participants who live in a mixed environment did not express fewer racist preferences. We conclude with some useful practical suggestions aimed at decreasing racism in health care. Findings imply that prospective patients prefer to receive nursing care from nurses of their own ethnic group and trust these nurses more than they trust nurses of different ethnic group.

Somatized or stigma? Causal attributions and emotional responses in shaping social distance towards people with mental illness, China

BackgroundMental illness in China has traditionally been attributed to physical factors and somatization tendencies, which seldom result in stigma. How has this perception changed after decades of social change? MethodsBased on the Chinese General Social Survey database in 2011, this study constructed a structural equation model to analyze the effects of causal attribution and emotional responses on social distance. The causal attributions include dangerousness, controllability, and responsibility. And the emotional responses encompass negative affect, traditional prejudice, treatment carryover, and exclusionary sentiments. In addition, higher scores indicating greater social distance, whereas a low score reflected stronger emotional responses or a greater degree of internal attribution. ResultsThe results reported a high level of social distance towards people with mental illness. These findings indicated that emotional responses have a direct impact on social distance. Specifically, when negative affect, traditional prejudice, and exclusionary sentiments increase by one standard deviation, the social distance decreases by 0.497, 0.178, and 0.073 standard deviation, respectively. Conversely, as the level of treatment carryover rises, social distance increases by 0.087. Meanwhile, the causal attribution only exerts a significant indirect effect on social distance by the function of emotional causal responses. ConclusionThe results indicated that the public attributes mental illnesses like depression primarily to psychological issues rather than somatic ones. It suggested widespread stereotypes and public stigma towards people with mental illness in China, as well as an arduous task in anti-stigma. In addition, a targeted way to address public stigma lies in changing the stereotype of people with mental illness.

Influence of Social Distance on Foreign Language Effect in Moral Judgment.

Previous research has shown that moral choice depends on language, a phenomenon known as the moral foreign language effect (mFLE). The current study examines the influence of social distance on the mFLE. In Experiment 1, 200 participants were randomly assigned to either close or distant social distance in English or Chinese. In Experiment 2, 188 participants were randomly assigned to either English or Chinese and were presented with eight moral dilemmas, each with five different levels of social distance. After reading the dilemma, participants made a choice on a binary scale (Yes/No) in both Experiments 1 and 2 or on a more sensitive 100-point scale in Experiment 2. The results showed that the mFLE was present in distant social distance but absent in close social distance. Finally, a meta-analysis of the results from both studies confirmed the effect of social distance on the mFLE. These findings demonstrate that social distance might play an important role in moderating the mFLE in moral judgment.

Pharmaceutical and non-pharmaceutical interventions for controlling the COVID-19 pandemic.

Disease spread can be affected by pharmaceutical interventions (such as vaccination) and non-pharmaceutical interventions (such as physical distancing, mask-wearing and contact tracing). Understanding the relationship between disease dynamics and human behaviour is a significant factor to controlling infections. In this work, we propose a compartmental epidemiological model for studying how the infection dynamics of COVID-19 evolves for people with different levels of social distancing, natural immunity and vaccine-induced immunity. Our model recreates the transmission dynamics of COVID-19 in Ontario up to December 2021. Our results indicate that people change their behaviour based on the disease dynamics and mitigation measures. Specifically, they adopt more protective behaviour when mandated social distancing measures are in effect, typically concurrent with a high number of infections. They reduce protective behaviour when vaccination coverage is high or when mandated contact reduction measures are relaxed, typically concurrent with a reduction of infections. We demonstrate that waning of infection and vaccine-induced immunity are important for reproducing disease transmission in autumn 2021.

A Critical Review on Role of 3D-Printer in Cardiology

Abstract: The focus of recent studies has been on 3D printing technologies. Models are manufactured using magnetic resonance imaging, computed tomography, or echocardiography in three dimensions (3D printing) , and the process is also known as additive manufacturing. The debate about 3D printing's function in cardiology is the main focus of current studies . To decrease the mortality rate due to heart related diseases like cardiac arrest , which has been tremendous in recent times, 3D printed models serve as a savior of life. To illustrate, during COVID-19, the coronavirus created a global pandemic and a huge global demand for medical equipment. The shortage of time and the high level of social distancing make it difficult for the government and medical professionals to face the pandemic. In those critical times, 3D printing models were used to develop medical equipment and explore its potential by addressing the shortage of equipment. The physical models are printed using various methods like Fused Deposition Modeling, Polyjet, Stereolithography, Selective Laser Melting, and Sintering. This also enhances the practical knowledge of students and surgeons and revives confidence in the patients and their families.

The effects of race and class on community-level stigmatization of opioid use and policy preferences.

With opioid use and overdose rates continuing to plague minority communities in the U.S., we explored whether a geographic community's racial composition and social class affect how opioid use in the community is stigmatized and what policy preferences arise in response. We use case vignettes in a randomized, between-subjects study (N=1478) with a nation-wide survey. The vignettes describe a community where opioids are harmfully used, varying whether the community was (1) wealthy or poor, (2) predominantly Black or White and (3) facing prevalent use of painkillers or heroin. We tested how these variables affect public stigmatization of opioid use (measured with ratings of responsibility, dangerousness, sympathy, concern, anger, and disappointment) preferred levels of social distance from communities with opioid use (measured with responses to questions about living, working, and interacting in the community), and policy preferences for responding to opioid use (measured with levels of support for providing a safe-consumption site in the community, treating drug use in the community punitively, treating drug use in the community as an illness, and funding drug treatment in the community through income redistribution). Compared to wealthy communities with opioid use, poor communities with opioid use were less stigmatized in terms of responsibility, sympathy, concern, anger, and disappointment; they were also met with less support for punitiveness, more support for treating drug use as an illness, and preferences for greater social distance. Compared to White communities with opioid use, Black communities with opioid use were less stigmatized in terms of responsibility, and they were met with stronger preferences to not live and work there and with reduced support for using income redistribution to provide drug treatment for people in the community. Poor-Black communities with opioid use were also perceived to be more dangerous than both poor-White and wealthy-Black communities with opioid use. These results point to class- and race-based territorial stigma affecting how communities with opioid use are judged and whether policies for providing communities with treatment are supported.

Open space dynamics during coronavirus disease-2019

Although numerous studies have been carried out to examine the general trend of urban mobility during coronavirus disease-2019 (COVID-19), there is not enough research on changes in pedestrian behavioural characteristics and crowd dynamics in public spaces. Understanding and monitoring such changes are critical for the better management and design of public open space in case of future outbreaks of infectious diseases. To fill this gap, pedestrian movements are tracked and analysed with deep learning-based video analytics based on anonymised video footage along a major promenade in Hong Kong before and during COVID-19. Specifically, comparisons were made on pedestrian-flow characteristics, pedestrian activities and social distancing. Then, this study examines the dynamics of pedestrian crowding under different scenarios, using agent-based simulation. Model results suggest that the public space was characterised by fewer visitors, a higher average walking speed, a higher percentage of people exercising and a lower percentage of people carrying out stationary activities during COVID-19. In addition, a higher level of voluntary social distancing was observed. Several hot spots for pedestrian crowding were also identified. Learning from the above, it is suggested that multifunctional public space should be designed; and data-driven visitor management systems should be established to prepare for different scenarios in future cities.

Social distancing policy and mental health during COVID-19 pandemic: an 18-month longitudinal cohort study in South Korea.

Despite the effectiveness of social distancing policies in preventing the spread of Coronavirus Disease 2019 (COVID-19), their impact on mental health remains a concern. Longitudinal studies investigating the psychological effects of social distancing are limited. Longitudinal data on psychological variables were collected eight times between May 2020 and November 2021 through online surveys in South Korea. The participants in the study reported a worsening of depressive and anxiety symptoms, suicide risk, and psychological distress with increasing levels of social distancing. Specifically, during the third wave, when social distancing levels peaked, the highest levels of depression, anxiety, and psychological distress were observed, and the second-lowest levels of vitality were reported. Furthermore, psychological risk factors, such as depressive symptoms, anxiety symptoms, and suicidal risk, were closely associated with vitality levels in daily life. During the pandemic, although social distancing helped prevent the spread of COVID-19, it also led to increased depression, anxiety, suicide risk, psychological distress, and decreased vitality. Engagement at a personal level in fundamental daily activities is important to cope with psychological distress. Our results indicate that commitment to fundamental daily activities and following routines is an important protective factor against psychological distress, notwithstanding COVID-19.

The Impact of Government Interventions on COVID-19 Spread and Consumer Spending

We examine the impact of government interventions on the spread of COVID-19 and consumer spending. We do this by first estimating models of COVID-19 spread, consumer spending, and social distancing in the United States during the early stages of the COVID-19 pandemic. Social distancing has a large effect on reducing COVID-19 spread and is responsive to national and local case numbers. Nonmask government interventions reduce COVID-19 spread, whereas the effectiveness of mask mandates is much smaller and statistically insignificant. Mask mandates tend to increase social distancing, as do nonmask governmental restrictions as a whole. Social distancing hurts spending in the absence of a mask mandate but has a negligible effect on spending if there is a mask mandate. Mask mandates have a direct effect of increasing spending in counties with high levels of social distancing while reducing spending in counties with low levels of social distancing. We use these three estimated models to calculate the effect of mask mandates and other governmental interventions on COVID-19 cases, deaths, and consumer spending. Implemented mask mandates decreased COVID-19 cases by a statistically insignificant 774,000 cases, saving 28,000 lives, over a four-month period, but led to $76B–$155B of additional consumer spending. Other nonmask governmental interventions that were implemented reduced the number of COVID-19 cases by 34M, saving 1,230,000 lives, while reducing consumer spending by approximately $470B–$703B over our 4-month period of the study. Thus, these restrictions were cost effective as long as one values each saved life at $387,000–$608,000 or more. This paper was accepted by Matt Shum, marketing. Supplemental Material: The data is available at https://doi.org/10.1287/mnsc.2023.4853 .

Susceptible exposed infectious recovered-machine learning for COVID-19 prediction in Saudi Arabia

<span lang="EN-US">Susceptible exposed infectious recovered (SEIR) is among the epidemiological models used in forecasting the spread of disease in large populations. SEIR is a fitting model for coronavirus disease (COVID-19) spread prediction. Somehow, in its original form, SEIR could not measure the impact of lockdowns. So, in the SEIR equations system utilized in this study, a variable was included to evaluate the impact of varying levels of social distance on the transmission of COVID-19. Additionally, we applied artificial intelligence utilizing the deep neural network machine learning (ML) technique. On the initial spread data for Saudi Arabia that were available up to June 25<sup>th</sup>, 2021, this improved SEIR model was used. The study shows possible infection to around 3.1 million persons without lockdown in Saudi Arabia at the peak of spread, which lasts for about 3 months beginning from the lockdown date (March 21<sup>st</sup>). On the other hand, the Kingdom's current partial lockdown policy was estimated to cut the estimated number of infections to 0.5 million over nine months. The data shows that stricter lockdowns may successfully flatten the COVID-19 graph curve in Saudi Arabia. We successfully predicted the COVID-19 epidemic's peaks and sizes using our modified deep neural network (DNN) and SEIR model.</span>

SOCIAL DISTANCE AND VIETNAMESE TRADITIONAL ART DECORATION

The goal of this analysis is to apply the Systemic Functional Linguistics theory (SFL) to analyze social distance and visual sign in the context of Vietnamese art decoration. Based on the concept of social semiotics, social distance between interactants in this analysis is analyzed through a register description of tenor system within the context of situation. From a social point of view, this analysis applies the five lines of human thought based on Bogardus divided into motivational relevancies, including (i) human life, (ii) the natural world, (iii) mythology, (iv) philosophy, (v) religion, and (vi) culture and tradition, to describe the relationship between context of situation and meaning interpretation of Vietnamese traditional art decoration. The findings suggest that social distance generally plays an important role among interactants through Vietnamese traditional art decoration and functional meaning interpretation. The findings further suggest that the tenor system reflects some levels of social distance through a configuration of power, contact, and affective involvement of language usage. As a result, the levels of social distance could be realized by functional and social meaning interpretation, called socio-functional meaning system, through three perspectives: (i) art interpretation and art appreciation, (ii) social beliefs, faiths, and respect, and (iii) features and properties of art decoration. Some benefits of this study can be applied to other fields of human communication such as film, advertising, and art aesthetics.

Social distance of bystanders affects people’s embarrassment via changing fear of negative evaluation and feelings of attachment security

BackgroundEmbarrassment is a self-conscious emotion with important social functions, but it is not well understood. The perception of bystanders is considered a precondition for embarrassment, which makes it unique from other self-conscious emotions. Studies have shown that socially close bystanders can reduce individuals’ embarrassment. However, whether and how the embarrassment of individuals varies with the changes in social distance between them and their bystanders remained unclear, which indicates the key characteristics of embarrassment.MethodsThe current research consists of two studies. Study 1 tested whether participants’ embarrassment systematically varied with social distance by setting up three levels of social distance: close friends (i.e., short), casual friends (i.e., medium), and strangers (i.e., long), based on 159 participants. With two full mediation models, study 2 investigated whether and how the fear of negative evaluation and state attachment security mediated the influence of social distance on embarrassment based on 155 participants.ConclusionsThe current findings revealed that the social distance between bystanders and protagonists systematically influenced the embarrassment of protagonists and this effect occurred via two parallel pathways, i.e., by increasing the fear of negative evaluation and by reducing state attachment security. The findings not only showed the unique role of bystander characteristics on embarrassment, but also two cognitive processes behind this unique self-conscious emotion: fearing negative evaluation and seeking attachment for security.

Consumer–brand relationships and social distance: A construal level theory perspective

AbstractBrands are increasingly struggling to establish and maintain strong relationships with their customers. But such relationship status is rare, and consumers are often relationship‐averse or satisfied with the relationship status quo. Drawing upon construal level theory (CLT) and consumer–brand relationship (CBR) literature, this study provides empirical support for the connection between CBRs and social distance and demonstrates that changes in CBRs foster variation of consumers' preferences to primary and secondary product features, which reflects their varying construal levels and consumer–brand social distances (study 1). Furthermore, we assessed whether the congruency between consumer–brand social distance and construal levels can contribute to more favorable product evaluations. Studies 2 and 3 reveal that when consumers are socially close to brands, product attributes (low‐level construal) exert a higher impact on product assessments, whereas when consumers are socially distant from the brand, price (high‐level construal) exerts a greater impact on product evaluations. Additionally, unlike the common belief that high prices lead to higher perceived quality, our findings suggest that a positive perception of a product attribute for low‐priced products leads to more favorable product evaluations. These results indicate that marketers can nurture existing CBRs for developing their communication strategy to achieve better consumer evaluations.

Disease burden due to COVID-19 in Taiwan: Disability-adjusted life years (DALYs) with implication of Monte Carlo simulations

BackgroundThe novel coronavirus disease 2019 (COVID-19) has affected a large number of countries. Informing the public and decision makers of the COVID-19′s economic burdens is essential for understanding the real pandemic impact. MethodsCOVID-19 premature mortality and disability impact in Taiwan was analyzed using the Taiwan National Infectious Disease Statistics System (TNIDSS) by estimating the sex/age-specific years of life lost through death (YLLs), the number of years lived with disability (YLDs), and the disability-adjusted life years (DALYs) from January 2020 to November 2021. ResultsTaiwan recorded 1004.13 DALYs (95% CI: 1002.75–1005.61) per 100,000 population for COVID-19, with YLLs accounting for 99.5% (95% CI: 99.3%99.6%) of all DALYs, with males suffering more from the disease than females. For population aged ≥ 70 years, the disease burdens of YLDs and YLLs were 0.1% and 99.9%, respectively. Furthermore, we found that duration of disease in critical state contributed 63.9% of the variance in DALY estimations. ConclusionsThe nationwide estimation of DALYs in Taiwan provides insights into the demographic distributions and key epidemiological parameter for DALYs. The essentiality of enforcing protective precautions when needed is also implicated. The higher YLLs percentage in DALYs also revealed the fact of high confirmed death rates in Taiwan. To reduce infection risks and disease, it is crucial to maintain moderate social distancing, border control, hygiene measures, and increase vaccine coverage levels.

The Credibility of Communication in a Pandemic

Social distancing measures are typically recommended to contain the spread of infectious diseases. To improve the public's voluntary compliance, governments and health authorities seek to publicize timely information about the pandemic. Yet social planners may exaggerate or downplay their private information about the disease's severity to elicit their preferred level of social distancing. This is because the relative weight they assign to the costs of isolation over public health may be unbalanced, and people may not fully consider how their social distancing may influence others’ infection risk. Consequently, messages and claims about the pandemic may be distrusted. The author investigates whether and when communication can be fully or partially credible despite apparent incentives for misrepresentation. The author finds that a government would communicate truthfully in equilibrium if and only if the disease severity levels are not too close to each other in the public's prior belief. Nevertheless, an increasing difference between the severity levels need not enhance the credibility of communication. Greater communication credibility may hurt social welfare. Moreover, as the government becomes more concerned about the costs of social distancing, its equilibrium messages may become more or less trustworthy. The article’s results can benefit social planners and users of their messages (e.g., analysts, researchers, investors).

Impact of social distancing on traumatic injury incidence during the COVID-19 pandemic: A study using nationwide data from South Korea from 2018 to 2020

BackgroundCOVID-19 spread rapidly in 2020. To decrease its transmission rate, governments worldwide implemented social distancing. It has transformed people's physical and social activities. Such changes, differently influenced by age, might affect the incidence of traumatic injury. HypothesisThe impact of social distancing on traumatic injuries can influence differently by age. Patients and methodsNationwide randomized stratified sampling data (2018 to 2020, 1 million people per year) from Korean National Health Insurance Sharing Service were used. In this period, 364,690 patients with traumatic injuries were analyzed. People were grouped by age into 0–4, 5–19, 20–64, and≥65years. The incidence of traumatic injuries was compared between periods of social distancing and no social distancing. Social distancing levels, injured body parts, injury types, hospitalization rate, total medical cost per patient, weather, temperature, and holidays were also included for detailed analysis. ResultsOnly the 5–19 age group showed the significant interaction of social distancing and traumatic injury. In this group, as the social distancing level increased, the injury incidence decreased especially during the spring and autumn semesters. However, the proportion of injuries requiring hospitalization and total medical cost per patient increased. DiscussionSocial distancing significantly affects the incidence of traumatic injuries for schooler (5–19years). Considering that the incidence changed during these semesters, the restriction of school attendance, due to social distancing, may have caused the decrease. Reduced trauma in this group seems to be related to decrease of mild trauma, considering the hospitalization rate and total medical costs. Level of evidenceIII, retrospective cohort study.

WITHDRAWN: Impact de la distanciation sociale sur l’incidence lésions traumatiques pendant la pandémie de COVID-19: étude utilisant des données nationales de la Corée du Sud de 2018 à 2020

BackgroundCOVID-19 spread rapidly in 2020. To decrease its transmission rate, governments worldwide implemented social distancing. It has transformed people's physical and social activities. Such changes, differently influenced by age, might affect the incidence of traumatic injury. HypothesisThe impact of social distancing on traumatic injuries can influence differently by age. Patients and methodsNationwide randomized stratified sampling data (2018 to 2020, 1 million people per year) from Korean National Health Insurance Sharing Service were used. In this period, 364,690 patients with traumatic injuries were analyzed. People were grouped by age into 0–4, 5–19, 20–64, and ≥ 65 years. The incidence of traumatic injuries was compared between periods of social distancing and no social distancing. Social distancing levels, injured body parts, injury types, hospitalization rate, total medical cost per patient, weather, temperature, and holidays were also included for detailed analysis. ResultsOnly the 5–19 age group showed the significant interaction of social distancing and traumatic injury. In this group, as the social distancing level increased, the injury incidence decreased especially during the spring and autumn semesters. However, the proportion of injuries requiring hospitalization and total medical cost per patient increased. DiscussionSocial distancing significantly affects the incidence of traumatic injuries for schooler (5–19 years). Considering that the incidence changed during these semesters, the restriction of school attendance, due to social distancing, may have caused the decrease. Reduced trauma in this group seems to be related to decrease of mild trauma, considering the hospitalization rate and total medical costs. Level of EvidenceIII, retrospective cohort study.

Differential impact of the COVID-19 pandemic on primary care utilization related to common mental disorders in four European countries: A retrospective observational study.

The COVID-19 pandemic is commonly believed to have increased common mental disorders (CMD, i.e., depression and anxiety), either directly due to COVID-19 contractions (death of near ones or residual conditions), or indirectly by increasing stress, economic uncertainty, and disruptions in daily life resulting from containment measure. Whereas studies reporting on initial changes in self-reported data frequently have reported increases in CMD, pandemic related changes in CMD related to primary care utilization are less well known. Analyzing time series of routinely and continuously sampled primary healthcare data from Sweden, Norway, Netherlands, and Latvia, we aimed to characterize the impact of the pandemic on CMD recorded prevalence in primary care. Furthermore, by relating these changes to country specific time-trajectories of two classes of containment measures, we evaluated the differential impact of containment strategies on CMD rates. Specifically, we wanted to test whether school restrictions would preferentially affect age groups corresponding to those of school children or their parents. For the four investigated countries, we collected time-series of monthly counts of unique CMD patients in primary healthcare from the year 2015 (or 2017) until 2021. Using pre-pandemic timepoints to train seasonal Auto Regressive Integrated Moving Average (ARIMA) models, we predicted healthcare utilization during the pandemic. Discrepancies between observed and expected time series were quantified to infer pandemic related changes. To evaluate the effects of COVID-19 measures on CMD related primary care utilization, the predicted time series were related to country specific time series of levels of social distancing and school restrictions. In all countries except Latvia there was an initial (April 2020) decrease in CMD care prevalence, where largest drops were found in Sweden (Prevalence Ratio, PR = 0.85; 95% CI 0.81-0.90), followed by Netherlands (0.86; 95% CI 0.76-1.02) and Norway (0.90; 95% CI 0.83-0.98). Latvia on the other hand experienced increased rates (1.25; 95% CI 1.08-1.49). Whereas PRs in Norway and Netherlands normalized during the latter half of 2020, PRs stayed low in Sweden and elevated in Latvia. The overall changes in PR during the pandemic year 2020 was significantly changed only for Sweden (0.91; 95% CI 0.90-0.93) and Latvia (1.20; 95% CI 1.14-1.26). Overall, the relationship between containment measures and CMD care prevalence were weak and non-significant. In particular, we could not observe any relationship of school restriction to CMD care prevalence for the age groups best corresponding to school children or their parents. Common mental disorders prevalence in primary care decreased during the initial phase of the COVID-19 pandemic in all countries except from Latvia, but normalized in Norway and Netherlands by the latter half of 2020. The onset of the pandemic and the containment strategies were highly correlated within each country, limiting strong conclusions on whether restriction policy had any effects on mental health. Specifically, we found no evidence of associations between school restrictions and CMD care prevalence. Overall, current results lend no support to the common belief that the pandemic severely impacted the mental health of the general population as indicated by healthcare utilization, apart from in Latvia. However, since healthcare utilization is affected by multiple factors in addition to actual need, future studies should combine complementary types of data to better understand the mental health impacts of the pandemic.

Influence of Biogenetic Explanations of Mental Disorders on Stigma and Help-Seeking Behavior: A Systematic Review and Meta-Analysis.

Biogenetic causal explanations of mental disorders are commonly used for public education and campaigns. However, the influence of biogenetic explanations on the ideas about and attitudes toward mental illness is unclear. We examined the influence of biogenetic explanations on attitudes toward mental disorders using a meta-analytic method accompanied by subgroup analyses. The protocol for this meta-analysis was registered in PROSPERO (CRD42020158656) in March 2020. Experimental and correlational studies were analyzed separately. Five outcome measures related to attitudes toward mental disorders were included: 'attitude toward help-seeking,' 'blame,' 'perceived dangerousness,' 'prognostic pessimism,' and 'social distance.' Subgroup analyses were performed for the type of mental disorder, population, and geographic region for which a biogenetic explanation was provided. A total of 44 studies were included, of which 24 were experimental and 20 were correlational. A positive attitude toward help-seeking was associated with having a biogenetic concept (d = 0.43; 95% confidence interval [CI], 0.18 to 0.67; P < 0.001) in general population and in Eastern countries in particular. Although a biogenetic explanation was associated with a decreased level of blame (d = -0.20; 95% CI, -0.38 to -0.02; P = 0.029) in the general population, it was also associated with significantly higher levels of perceived dangerousness (d = 0.13; 95% CI, 0.03 to 0.23; P = 0.008). A tendency toward a higher level of prognostic pessimism and social distance was associated with a biogenetic concept of mental disorders although there was no statistical significance. Having a biogenetic concept of the cause of mental disorders was related with a positive attitude toward help-seeking, particularly in the general population and individuals living in Eastern countries. Providing a biogenetic explanation decreased blame toward individuals with mental illness but was associated with increased perceived dangerousness and prognostic pessimism. Therefore, although a biogenetic explanation promotes public use of mental health services, it should be carefully applied to avoid an increase in negative thoughts, such as that mental illness is biologically irreversible and untreatable.