This study aimed to utilise graph theory to explore the functional brain networks in individuals with tic disorders and to investigate resting-state functional connectivity changes in critical brain regions associated with tic disorders.

Participants comprised individuals with tic disorders and age-matched healthy controls, ranging from 6 to 18 years old, all recruited from Korea University Guro Hospital. We ensured a medication-naïve cohort by excluding participants exposed to psychotropic medications for at least three weeks prior to the study. Data included structural and resting-state functional MRI scans, analysed with the CONN-fMRI Functional Connectivity toolbox v20b. The analysis included 22 patients (18 males, 4 females) and 26 controls (14 males, 12 females).

Significantly increased global efficiency was observed in the left inferior frontal gyrus pars opercularis among tic disorder patients compared to controls. Furthermore, this region displayed enhanced resting-state functional connectivity with its right counterpart in patients versus controls.

The inferior frontal gyrus pars opercularis, known for its inhibitory role, may reflect adaptive functional adjustments in response to tic symptoms. Increased hubness of the inferior frontal gyrus pars opercularis possibly represents functional adjustments in response to tic symptoms. The identified brain region with increased efficiency and connectivity presents a promising avenue for further research into tic expression and control mechanisms.

Bipolar disorder (BD) shows heterogeneous illness presentation both cross-sectionally and longitudinally. This phenotypic heterogeneity might reflect underlying genetic heterogeneity. At the same time, overlapping characteristics between BD and other psychiatric illnesses are observed at clinical and biomarker levels, which implies a shared biological mechanism between them. Incorporating these two issues in a single study design, this study investigated whether phenotypically heterogeneous subtypes of BD have a distinct polygenic basis shared with other psychiatric illnesses.

Six lifetime phenotype dimensions of BD identified in our previous study were used as target phenotypes. Associations between these phenotype dimensions and polygenic risk scores (PRSs) of major psychiatric illnesses from East Asian (EA) and other available populations were analyzed.

Each phenotype dimension showed a different association pattern with PRSs of mental illnesses. PRS for EA schizophrenia showed a significant negative association with the cyclicity dimension (p = 0.044) but a significant positive association with the psychotic/irritable mania dimension (p = 0.001). PRS of EA major depressive disorder demonstrated a significant negative association with the elation dimension (p = 0.003) but a significant positive association with the comorbidity dimension (p = 0.028).

This study demonstrates that well-defined phenotype dimensions of lifetime-basis in BD have distinct genetic risks shared with other major mental illnesses. This finding supports genetic heterogeneity in BD and suggests a pleiotropy among BD subtypes and other psychiatric disorders beyond BD. Further genomic analyses adopting deep phenotyping across mental illnesses in ancestrally diverse populations are warranted to clarify intra-diagnosis heterogeneity and inter-diagnoses commonality issues in psychiatry.

While unemployment is known to increase the risk of suicide, its cumulative effect remains underexplored. This study investigates how unemployment affects suicide mortality and whether the effect varies based on the number of unemployment spells using two years of nationwide data.

Using the data from the National Statistical Office and Employment Insurance Database for 2018 and 2019, we identified an average of 2365 cases of suicide over two years among 7.76 million workers aged 25–64 years who had been employed within one year before their suicide. The number of unemployment spells was counted using the employment history of the past five years. We calculated crude suicide mortality rates per 100 000 population, age- and sex- standardized mortality rates (SMRs), and proportionate mortality rates (PMRs) for suicide.

Over the two years, the crude suicide rate was 30.0 per 100 000 among the general population and 30.5 among workers. Workers with no unemployment spells in the past five years had a significantly lower SMR (0.44; 0.42–0.46), while those with four or more unemployment spells had a significantly higher SMR (3.13; 2.92–3.35) than the general population. These findings were consistent across all sex and age groups. Additionally, workers with four or more unemployment spells had a significantly higher PMR than the general population.

The impact of unemployment on suicide mortality intensifies as the number of unemployment spells increases. These results underscore the necessity for additional social and psychological support along with economic assistance for individuals facing recurrent unemployment.

Comorbid depression substantially affects the management of glycemia and diabetes-related complications among patients with type 2 diabetes mellitus. In this study, we sought to determine the association between weight change over 4 years and depression risk among patients with type 2 diabetes mellitus.

This population-based retrospective cohort study from the National Health Insurance Services of Korea included 1 111 345 patients with type 2 diabetes who were divided into groups according to body weight change over 4 years. Body weight changes were compared with the preceding 4-year period (2005–2008). Depression was defined according to the International Classification of Diseases 10th revision code for depression (F32 and F33) on one or more inpatient or outpatient claims.

During a median follow-up of 7.4 years, 244 081 cases of depression were identified. We observed a U-shaped association between body weight change and depression risk with a higher risk among both groups of weight loss (hazard ratio (HR) 1.17, 95% CI 1.15–1.19 for ⩾ −10%; HR 1.07, 95% CI 1.06–1.08 for −10 to −5%) and weight gain (HR 1.06, 95% CI 1.04–1.08 for ⩾10%; HR 1.02, 95% CI 1.01–1.04 for 5–10%) compared with the stable weight group (−5 to 5%).

A U-shaped association between body weight change and depression risk was observed in this large nationwide cohort study. Our study suggests that patients with type 2 diabetes and weight change, either gain or loss, could be considered a high-risk group for depression.

We report our experience with an emergency room (ER) shutdown related to an accidental exposure to a patient with coronavirus disease 2019 (COVID-19) who had not been isolated.

A 635-bed, tertiary-care hospital in Daegu, South Korea.

To prevent nosocomial transmission of the disease, we subsequently isolated patients with suspected symptoms, relevant radiographic findings, or epidemiology. Severe acute respiratory coronavirus 2 (SARS-CoV-2) reverse-transcriptase polymerase chain reaction assays (RT-PCR) were performed for most patients requiring hospitalization. A universal mask policy and comprehensive use of personal protective equipment (PPE) were implemented. We analyzed effects of these interventions.

From the pre-shutdown period (February 10–25, 2020) to the post-shutdown period (February 28 to March 16, 2020), the mean hourly turnaround time decreased from 23:31 ±6:43 hours to 9:27 ±3:41 hours (P < .001). As a result, the proportion of the patients tested increased from 5.8% (N=1,037) to 64.6% (N=690) (P < .001) and the average number of tests per day increased from 3.8±4.3 to 24.7±5.0 (P < .001). All 23 patients with COVID-19 in the post-shutdown period were isolated in the ER without any problematic accidental exposure or nosocomial transmission. After the shutdown, several metrics increased. The median duration of stay in the ER among hospitalized patients increased from 4:30 hours (interquartile range [IQR], 2:17–9:48) to 14:33 hours (IQR, 6:55–24:50) (P < .001). Rates of intensive care unit admissions increased from 1.4% to 2.9% (P = .023), and mortality increased from 0.9% to 3.0% (P = .001).

Problematic accidental exposure and nosocomial transmission of COVID-19 can be successfully prevented through active isolation and surveillance policies and comprehensive PPE use despite longer ER stays and the presence of more severely ill patients during a severe COVID-19 outbreak.

There is limited evidence on the interaction by alcohol dehydrogenase 2 (ADH1B) (rs1229984) and aldehyde dehydrogenase 2 (ALDH2) (rs671) regarding the associations of alcohol and a methyl diet (low folate and high alcohol intake) with cancer risk, partly because of rare polymorphisms in Western populations.

In a case–control study, we estimated the ORs and 95 % CIs to evaluate the associations of ADH1B and ALDH2 genotypes with colorectal cancer (CRC) and the joint association between methyl diets and ADH1B and ALDH2 polymorphisms with CRC risk using logistic regression models.

A hospital-based case–control study.

In total, 1001 CRC cases and 899 cancer-free controls admitted to two university hospitals.

We found that alcohol intake increased the risk of CRC; OR (95 % CI) was 2·02 (1·41, 2·87) for ≥60 g/d drinkers compared with non-drinkers (Ptrend < 0·001). The associations for two polymorphisms with CRC were not statistically significant. However, we found a potential interaction of ALDH2 with methyl diets and CRC. We observed a 9·08-fold (95 % CI 1·93, 42·60) higher risk of CRC for low-methyl diets compared with high-methyl diets among individuals with an A allele of ALDH2, but the association was not apparent among those with ALDH2 GG (Pinteraction = 0·02).

Our data support the evidence that gene–methyl diet interactions may be involved in CRC risk in East Asian populations, showing that a low-methyl diet increased the risk of CRC among individuals with an A allele of ALDH2.

In order to improve research planning it is critical to understand how decision makers have used previous health technology assessment (HTA) results, and what expectations policy makers and health professionals have in HTA programs. In this study, we aimed to examine how HTA results have been used by decision makers, and explore complex relationships between the National Evidence-based Healthcare Collaborating Agency (NECA) and various decision-making bodies in Korea.

Three areas of healthcare decision in which NECA has been extensively involved were selected: prevention programs, single technology reimbursement, and clinical guidelines. We conducted in-depth interviews with two or three key informants from decision making bodies in each selected area. The interview participants included clinicians and government officials. We also conducted interviews with the researchers who participated in the related research to better capture the context. The interviews were analyzed using qualitative content analysis.

Eight interviews with decision makers and five interviews with researchers were conducted and analyzed. Three main themes were revealed in the data. Firstly, it was revealed that NECA was primarily expected to be an intermediary between clinicians and government. Both government and clinicians had referred to NECA's HTA results, which are expected to be scientific and impartial, when they need to reach one another on controversial topics. Secondly, there was a high need for deliberative process to resolve the conflicting interests regarding HTA results. Lastly, they wanted the HTA process to be more responsive to fast changing healthcare environments by introducing a form of rapid review.

Lack of effective communication channels between government and healthcare providers in Korea has made a room for HTA to be a common language for both sides. It is time to give up the ‘one-size-fits-all’ approach to conducting HTA research and tailor the research process to various needs of decision makers.

Since established in 2009, the National Evidence-based healthcare Collaborating Agency (NECA) has been the sole government-funded Health Technology Assessment (HTA) institution in Korea, yet little effort has been made to systematically evaluate the influence of its products. In this study, we aimed to measure the impact of the HTA products of NECA on clinical and policy decisions by introducing a systematic framework.

We included HTA reports published from 2009 to 2015. Among the 141 research reports published during this period, there were 67 HTA reports. We gathered data on the influence by literature and news article search, review of administrative documents and directly listening to the decision makers. The influence was categorized into three decision types: changes in clinical guidelines, administrative decision on investment/disinvestment and healthcare policy making. Whether a research report was used directly in decision making, or followed by subsequent researches or round-table conference, was recorded to examine the knowledge transfer process.

In total, 67.2 percent of the included HTA reports were used to support clinical and policy decisions. Twenty-seven reports had influenced administrative decisions on investment/disinvestment. Ten provided evidence for new health policies or legislation. Eight were reflected in clinical guidelines. The impact of HTA reports published by NECA was more evident when the research was directly requested by decision-making bodies such as government institutions. Although most HTA reports were conducted in collaboration with clinicians, the use of results by clinicians was limited. Definitive results were more likely to be used, but reports with competing interests had fewer impacts.

HTA by NECA had impacts on the rational use of healthcare resources in Korea, and NECA has established its role as an intermediary between governmental decision-making bodies and clinicians. However, more continuous approaches rather than one-time HTA research are needed for HTA on controversial topics to have impacts on decision making.

Firefighters are routinely exposed to various traumatic events and often experience a range of trauma-related symptoms. Although these repeated traumatic exposures rarely progress to the development of post-traumatic stress disorder, firefighters are still considered to be a vulnerable population with regard to trauma.

To investigate how the human brain responds to or compensates for the repeated experience of traumatic stress.

We included 98 healthy firefighters with repeated traumatic experiences but without any diagnosis of mental illness and 98 non-firefighter healthy individuals without any history of trauma. Functional connectivity within the fear circuitry, which consists of the dorsal anterior cingulate cortex, insula, amygdala, hippocampus and ventromedial prefrontal cortex (vmPFC), was examined using resting-state functional magnetic resonance imaging. Trauma-related symptoms were evaluated using the Impact of Event Scale – Revised.

The firefighter group had greater functional connectivity between the insula and several regions of the fear circuitry including the bilateral amygdalae, bilateral hippocampi and vmPFC as compared with healthy individuals. In the firefighter group, stronger insula–amygdala connectivity was associated with greater severity of trauma-related symptoms (β = 0.36, P = 0.005), whereas higher insula–vmPFC connectivity was related to milder symptoms in response to repeated trauma (β = −0.28, P = 0.01).

The current findings suggest an active involvement of insular functional connectivity in response to repeated traumatic stress. Functional connectivity of the insula in relation to the amygdala and vmPFC may be potential pathways that underlie the risk for and resilience to repeated traumatic stress, respectively.

None.

Our objective was to evaluate long-term altered appearance, distress, and body image in posttreatment breast cancer patients and compare them with those of patients undergoing active treatment and with general population controls.

We conducted a cross-sectional survey between May and December of 2010. We studied 138 breast cancer patients undergoing active treatment and 128 posttreatment patients from 23 Korean hospitals and 315 age- and area-matched subjects drawn from the general population. Breast, hair, and skin changes, distress, and body image were assessed using visual analogue scales and the EORTC BR–23. Average levels of distress were compared across groups, and linear regression was utilized to identify the factors associated with body image.

Compared to active-treatment patients, posttreatment patients reported similar breast changes (6.6 vs. 6.2), hair loss (7.7 vs. 6.7), and skin changes (5.8 vs. 5.4), and both groups had significantly more severe changes than those of the general population controls (p < 0.01). For a similar level of altered appearance, however, breast cancer patients experienced significantly higher levels of distress than the general population. In multivariate analysis, patients with high altered appearance distress reported significantly poorer body image (–20.7, CI95% = –28.3 to –13.1) than patients with low distress.

Posttreatment breast cancer patients experienced similar levels of altered appearance, distress, and body-image disturbance relative to patients undergoing active treatment but significantly higher distress and poorer body image than members of the general population. Healthcare professionals should acknowledge the possible long-term effects of altered appearance among breast cancer survivors and help them to manage the associated distress and psychological consequences.