Beneficial Effect of Societal Factors on APOE-ε2 and ε4 Carriers' Brain Health: A Systematic Review.

BACKGROUND: Apolipoprotein-E (APOE) ε4 and ε2 are the most prevalent risk-increasing and risk-reducing genetic predictors of Alzheimer's disease, respectively. However, the extent to which societal factors can reduce the harmful impact of APOE-ε4 and enhance the beneficial impact of APOE-ε2 on brain health has not yet been examined systematically. METHODS: To fill this gap, we conducted a systematic review searching for studies in MEDLINE, Embase, PsycINFO, and Scopus until June 2023, that included: (a) 1 of 5 social determinants of health (SDH) identified by Healthy People 2030, (b) APOE-ε2 or APOE-ε4 allele carriers, (c) cognitive or brain-biomarker outcomes, and (d) studies with an analysis of how APOE-ε2 and/ or APOE-ε4 carriers differ on outcomes when exposed to SDH. RESULTS: From 14 076 articles retrieved, 124 met the inclusion criteria. In most of the studies, exposure to favorable SDH reduced APOE-ε4's detrimental effect and enhanced APOE-ε2's beneficial effect on cognitive and brain-biomarker outcomes (cognition: 70.5%, n: 74/105; brain-biomarkers: 71.4%, n: 20/28). A similar pattern of results emerged in each of the 5 Healthy People 2030 SDH categories, where finishing high school, having resources to satisfy basic needs, less air pollution, less negative external stimuli that can generate stress (eg, negative age stereotypes), and exposure to multiple favorable SDH were associated with better cognitive and brain health among APOE-ε4 and APOE-ε2 carriers. CONCLUSIONS: Societal factors can reduce the harmful impact of APOE-ε4 and enhance the beneficial impact of APOE-ε2 on cognitive outcomes. This suggests that plans to reduce dementia should include community-level policies promoting favorable SDH.

Network structure of symptomatology of adult attention-deficit hyperactivity disorder in patients with mood disorders.

Patients with mood disorders commonly manifest comorbid psychiatric disorders, including attention-deficit/hyperactivity disorder (ADHD). However, few studies have evaluated ADHD symptoms in this population. The current study aimed to explore the network structure of ADHD symptomology and identify central symptoms in patients with mood disorders. The Korean version of the Adult ADHD Self-Report Scale was used to assess the overall ADHD symptoms in 1,086 individuals diagnosed with mood disorders (major depressive disorder [n = 373], bipolar I disorder [n = 314], and bipolar II disorder [n = 399]). We used exploratory graph analysis to detect the number of communities, and the network structure was analyzed using regularized partial correlation models. We identified the central ADHD symptom using centrality indices. Network comparison tests were conducted with different subgroups of patients with mood disorders, including three mood diagnosis groups, between the patients who met the diagnostic criteria for ADHD [ADHD-suspected, n = 259] in their self-report and the others [ADHD-non-suspected, n = 827], and groups with high [n = 503] versus low [n = 252] levels of depressive state. The network analysis detected four communities: disorganization, agitation/restlessness, hyperactivity/impulsivity, and inattention. The centrality indices indicated that "feeling restless" was the core ADHD symptom. The result was replicated in the subgroup analyses within our clinically diverse population of mood disorders, encompassing three presentations: Patients with suspected ADHD, patients without suspected ADHD, and patients with a high depressive state. Our findings reveal that "feeling restless" is the central ADHD symptom. The treatment intervention for "feeling restless" may thus play a pivotal role in tackling ADHD symptoms in adult patients with mood disorders.

Development of a web-based care networking system to support visiting healthcare professionals in the community.

BACKGROUND: The role of visiting health services has been proven to be effective in promoting the health of older populations. Hence, developing a web system for nurses may help improve the quality of visiting health services for community-dwelling frail older adults. This study was conducted to develop a web application that reflects the needs of visiting nurses. METHODS: Visiting nurses of public health centers and community centers in South Korea participated in the design and evaluation process. Six nurses took part in the focus group interviews, and 21 visiting nurses and community center managers participated in the satisfaction evaluation. Focus group interviews were conducted to identify the needs of visiting nurses with respect to system function. Based on the findings, a web application that can support the effective delivery of home visiting services in the community was developed. An artificial intelligence (AI) algorithm was also developed to recommend health and welfare services according to each patient's health status. After development, a structured survey was conducted to evaluate user satisfaction with system features using Kano's model. RESULTS: The new system can be used with mobile devices to increase the mobility of visiting nurses. The system includes 13 features that support the management of patient data and enhance the efficiency of visiting services (e.g., map, navigation, scheduler, protocol archives, professional advice, and online case conferencing). The user satisfaction survey revealed that nurses showed high satisfaction with the system. Among all features, the nurses were most satisfied with the care plan, which included AI-based recommendations for community referral. CONCLUSIONS: The system developed from the study has attractive features for visiting nurses and supports their essential tasks. The system can help with effective case management for older adults requiring in-home care and reduce nurses' workload. It can also improve communication and networking between healthcare and long-term care institutions.

Incidence and associated risk factors of nontuberculous mycobacterial infection in patients with depression.

BACKGROUND: It has been reported that the risk of mental health problems such as anxiety or depression increases in patients with nontuberculous mycobacterial (NTM) infection. However, no studies have investigated whether the incidence of NTM infection increases in patients with depression. This study aimed to investigate the incidence of NTM infection in patients with depression and evaluate the association between NTM infection and depression stratified by age and sex. METHODS: Data from 2002 to 2013 were collected from patients aged ≥ 20 years in the National Health Insurance Service-National Sample Cohort database. Patients with and without depression aged over 20 years were matched with 1 to 4 by sex, age, and year of diagnosis. The incidence rate was calculated in 100,000 person-years, and a multivariable subdistribution hazard model was used to evaluate the adjusted hazard ratio (aHR) for the development of NTM infection. RESULTS: We included 37,554 individuals (12,752 men and 24,802 women) and 149,213 controls in the depression and non-depression groups, respectively. The cumulative incidence of NTM infection did not differ significantly between the depression and non-depression groups during the follow-up period (22.2 vs. 24.5 per 100,000 person-years, p = 0.571). The age- and sex-stratified effects on the incidence of NTM infection were not significantly higher in patients with depression than in those without depression. After adjusting for covariates including age, sex, comorbidity, income, and region, the risk of NTM infection did not significantly differ between the depression and non-depression groups (aHR 0.83, 95% confidence interval 0.58-1.17). CONCLUSION: The incidence of NTM infections in patients with depression was not significantly higher than that in patients without depression. However, due to the small number of NTM infections, we might have underestimated the differences between the two groups. Further studies are needed to identify factors associated with NTM pulmonary disease in patients with depression.

Validation of the Short Form of the Mood Instability Questionnaire-Trait (MIQ-T-SF) in the Korean General Population.

OBJECTIVE: Mood instability (MI) is a clinically significant trait associated with psychiatric disorders. However, there are no concise measurements to evaluate MI. The initial Mood Instability Questionnaire-Trait (MIQ-T) was developed to fill this gap. The current study aimed to create a short form of MIQ-T (MIQ-T-SF) that measures MI with high validity and reliability in the Korean general population. METHODS: Of the 59 items in the MIQ-T, 17 items were chosen for the MIQ-T-SF following the factor analysis process. In total, 540 participants completed the MIQ-T-SF. Cronbach's alpha and McDonald's omega were used to evaluate reliability. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to determine construct validity. Concurrent validity was confirmed via comparisons with Personality Assessment Inventory-Borderline Features Scale. Measurement invariance across gender and age groups was confirmed before analyzing differences in scores using Kruskal-Wallis test. RESULTS: The MIQ-T-SF displayed expected correlations and high internal consistency (α=0.71-0.90, Ωt=0.72-0.92). Using EFA and CFA, a five-factor structure was confirmed. Measurement invariance was supported, and gender differences were observed. CONCLUSION: The MIQ-T-SF is an accurate and reliable method to detect MI in the Korean general population. The study's results offer new perspectives for future studies on MI.

Patterns and determinants of health and social care service needs among community-dwelling older adults.

AIM: Using Anderson's behavioral model, we examined the patterns and determinants associated with older adults' needs for community- and institution-based care services. METHODS: Participants included 411 community-dwelling older adults from the 2020 National Survey of Older Koreans. Logistic regression analyses were performed to examine factors associated with service needs among older adults. RESULTS: The need was greatest for movement support services. Enabling factors (marital status, co-residence with children, receipt of financial assistance for medical expenses, social participation, and satisfaction with healthcare facilities) were associated with service needs. Long-term care beneficiary status, activities of daily living limitations, depressive symptoms, hypertension, and vision impairment were also significant factors. CONCLUSIONS: Older adults with physical disabilities, depressive symptoms, and limited resources for care require prioritization in support policies to promote aging in place. Both health and social care needs should be addressed in long-term care to enhance social participation among older adults.

Burnout Among Public Health Workers During the COVID-19 Pandemic in South Korea.

OBJECTIVE: This study aimed to investigate the prevalence of burnout experiences and factors associated with burnout among Korean health care workers during the coronavirus disease 2019 (COVID-19) pandemic. METHODS: A nationwide survey was conducted in 2021, and the sample comprised 1000 public health center employees. Multivariate linear regression was used to examine the factors associated with burnout among the participants during the COVID-19 pandemic. Perceived factors contributing to burnout were also analyzed using an open-ended question. RESULTS: Personal (e.g., age, gender, and self-rated health) and work-related factors (e.g., type of job tasks and COVID-19-related discrimination experience) affected burnout among health care workers. However, organizational support, including emotional support and sufficient financial compensation, was associated with lower burnout. CONCLUSIONS: Ensuring sufficient support and rewards for health care workers is essential to guaranteeing their well-being during the current public health crisis.

Understanding of Depressive Symptomatology across Major Depressive Disorder and Bipolar Disorder: A Network Analysis.

Background and Objectives: Depressive symptoms are prominent in both major depressive disorder (MDD) and bipolar disorder (BD). However, comparative research on the network structure of depressive symptoms in these two diagnostic groups has been limited. This study aims to compare the network structure of depressive symptoms in MDD and BD, providing a deeper understanding of the depressive symptomatology of each disorder. Materials and Methods: The Zung Self-Rating Depressive Scale, a 20-item questionnaire, was administered to assess the depressive symptoms in individuals with MDD (n = 322) and BD (n = 516). A network analysis was conducted using exploratory graph analysis (EGA), and the network structure was analyzed using regularized partial correlation models. To validate the dimensionality of the Zung SDS, principal component analysis (PCA) was adopted. Centrality measures of the depressive symptoms within each group were assessed, followed by a network comparison test between the two groups. Results: In both diagnostic groups, the network analysis revealed four distinct categories, aligning closely with the PCA results. "Depressed affect" emerged as the most central symptom in both MDD and BD. Furthermore, non-core symptoms, "Personal devaluation" in MDD and "Confusion" in BD, displayed strong centrality. The network comparison test did not reveal significant differences in the network structure between MDD and BD. Conclusions: The absence of significant differences in the network structures between MDD and BD suggests that the underlying mechanisms of depressive symptoms may be similar across these disorders. The identified central symptoms, including "Depressed affect", in both disorders and the distinct non-core symptoms in each highlight the complexity of the depressive symptomatology. Future research should focus on validating these symptoms as therapeutic targets and incorporate various methodologies, including non-metric dimension reduction techniques or canonical analysis.

Borderline Personality Pathology in Major Depressive Disorder, Bipolar I and II Disorder, and Its Relationship With Childhood Trauma.

OBJECTIVE: Mood disorder and borderline personality pathology (BPP) are frequently comorbid and relate to childhood trauma. We investigated the relationship between childhood trauma and BPP features in mood disorder patients versus controls. METHODS: A total of 488 mood disorder patients, particularly major depressive disorder (MDD), bipolar I disorder (BD I), and bipolar II disorder (BD II), and 734 controls were included. We examined between-group BPP-related differences and correlated between BPP and childhood trauma using the Childhood Trauma Questionnaire-Short Form (CTQ) and the Personality Assessment Inventory-Borderline Features Scale. RESULTS: BD II patients showed significantly higher BPP. Emotional abuse and neglect were prominently associated with BPP, while affective instability and negative relationships exhibited a stronger association with childhood trauma. We also found a positive relationship between childhood trauma and BPP in MDD, BD I, and BD II patients. CONCLUSION: The findings of the present study imply that BPP features are more likely to be found in patients with BD II than BD I or MDD. Mood disorder patients with severe childhood trauma may have higher BPP features. Thus, further study of the relationship between childhood trauma and BPP features could improve the therapeutic approaches and help understand patients with mood disorders.

Have changes in Internet use during the COVID-19 pandemic affected older adults' self-rated health? A cross-sectional study of young-old and old-old populations in Korea.

Disparities in Internet access are barriers to older populations' well-being. This study examined the association between changes in older adults' Internet usage during the coronavirus disease 2019 (COVID-19) pandemic and their self-rated health. Participants were adults aged 65 years and above, selected from the 2020 Digital Divide Survey conducted in Korea (n = 1150). Changes in Internet use among younger (aged 65-74 years) and older (aged 75 years and above) groups and the association between these changes and participants' self-rated health were examined. Internet usage remained similar or increased during the COVID-19 pandemic, particularly among the younger group. Increased Internet use was associated with better self-rated health of the participants. Other characteristics, including age, income, and education level, were also positively associated with their health. This study highlights the need for increasing older adults' access to online activities to enhance health equity in the digital era.

Deep Learning Model for Predicting Intradialytic Hypotension Without Privacy Infringement: A Retrospective Two-Center Study.

Objective: Previously developed Intradialytic hypotension (IDH) prediction models utilize clinical variables with potential privacy protection issues. We developed an IDH prediction model using minimal variables, without the risk of privacy infringement. Methods: Unidentifiable data from 63,640 hemodialysis sessions (26,746 of 79 patients for internal validation, 36,894 of 255 patients for external validation) from two Korean hospital hemodialysis databases were finally analyzed, using three IDH definitions: (1) systolic blood pressure (SBP) nadir <90 mmHg (Nadir90); (2) SBP decrease ≥20 mmHg from baseline (Fall20); and (3) SBP decrease ≥20 mmHg and/or mean arterial pressure decrease ≥10 mmHg (Fall20/MAP10). The developed models use 30 min information to predict an IDH event in the following 10 min window. Area under the receiver operating characteristic curves (AUROCs) and precision-recall curves were used to compare machine learning and deep learning models by logistic regression, XGBoost, and convolutional neural networks. Results: Among 344,714 segments, 9,154 (2.7%), 134,988 (39.2%), and 149,674 (43.4%) IDH events occurred according to three different IDH definitions (Nadir90, Fall20, and Fall20/MAP10, respectively). Compared with models including logistic regression, random forest, and XGBoost, the deep learning model achieved the best performance in predicting IDH (AUROCs: Nadir90, 0.905; Fall20, 0.864; Fall20/MAP10, 0.863) only using measurements from hemodialysis machine during dialysis session. Conclusions: The deep learning model performed well only using monitoring measurement of hemodialysis machine in predicting IDH without any personal information that could risk privacy infringement.

Urban-rural differences in intention to age in place while receiving home care services: Findings from the National Survey of Older Koreans.

PURPOSE: Aging in place has been a crucial goal of long-term care policies, yet little is known about regional differences in older adults' perceptions of aging in place. This study examined the factors associated with the intention to age in place while receiving home care services among older adults in urban and rural areas in South Korea. METHODS: Data were obtained from the 2020 National Survey of Older Koreans conducted in South Korea. The study population comprised 10,097 adults aged ≥ 65 years. Multivariate logistic regression analysis was performed separately for residential areas. RESULTS: Among urban residents, being married, having higher satisfaction with the distance to healthcare facilities, and owning a house were associated with higher odds of the intention to age in place, whereas higher educational level, higher income, having interaction with friends and neighbors, and having perceived control over death preparation issues were associated with lower odds of the outcome. Among rural residents, only homeownership was associated with higher odds of aging in place, while female gender, higher income, not wanting to burden family and friends, and knowledge of formal care services were associated with lower odds of the outcome. CONCLUSIONS: By applying the expanded Andersen model, the study showed that enabling and psychosocial factors significantly affect older adults' intention to age in place. The results also revealed urban and rural differences in the factors associated with the intention to age in place. The study suggests that home-and community-based services, considering urban-rural differences, are needed to support successful aging in place.

Actor and partner effects of self-rated health on life satisfaction among family caregiver couples.

OBJECTIVES: This study examined the dyadic effects of self-rated health on the life satisfaction of family caregivers. The effects of the use of long-term care services were also explored to investigate whether support through care services is associated with the life satisfaction of family caregivers. METHODS: The data were drawn from the sixth wave (2016) of the Korean Longitudinal Study of Aging. Caregivers who used long-term care services for older family members, and spouses of the caregivers, were identified. A total of 81 married caregiver couples were analyzed using the actor-partner interdependence model. RESULTS: The study showed that better self-rated health of caregivers was associated with higher levels of life satisfaction (B = 8.87, p < 0.001). Better self-rated health of the caregivers was also associated with higher life satisfaction of their spouses (B = 6.01, p < 0.05). In addition, the results suggested that the use of long-term care services for patients was associated with the life satisfaction of both caregivers (B = 14.57, p < 0.01) and their spouses (B = 12.51, p < 0.05). DISCUSSION: Our findings suggested mutual influences among family caregivers on their life satisfaction. In addition, long-term care services for patients may improve the life satisfaction of other family members. More support through long-term care services for people with care needs is required to increase the life satisfaction of family caregivers. The diverse relationships among family caregivers should be taken into consideration when developing policies and interventions.

Fracture Experiences and Long-Term Care Initiation among Older Population: Analysis of Korean National Health Insurance Service-Senior Cohort Study.

BACKGROUND: Long-term care is a burden on individuals, families, and society. It is important to find ways to delay the onset of disability to lessen the burden of long-term care in aging societies. Fracture is one of the risk factors that affect physical functions and make older people dependent. This study aimed to examine how much more often older adults who experienced fractures initiated long-term care compared to those who did not, and whether the risk of entering long-term care differed significantly by fracture site. METHODS: The analyses included insurants aged 65 years and over from the Korean National Health Insurance Service-senior cohort study (2002-2013). Cox proportional hazard models were used to calculate the hazard ratios of the first certification of initiation of long-term care after fracture, by fracture site, and for multiple recurrent fractures. RESULTS: The incidence rate of initial long-term care beneficiaries was approximately 2.5 times higher when older people had experienced fractures; these individuals entered long-term care beneficiary status 3 years earlier compared to those who had no fracture events. Lower extremity fracture and multiple recurrent fractures more than doubled the risk for long-term care. CONCLUSION: Additional attention to fracture sites in prevention and rehabilitation settings is warranted to reduce disability and the related long-term care burden.

Place of death and associated gender difference in Korea 2006-2014: Evidence from exit interviews of the Korean Longitudinal Study of Ageing.

Previous research has revealed that many people wish to die at home; however, most die in healthcare institutions. This study explored factors related to the place of death and gender differences in this regard among older adults in South Korea. Participants included older adults from the Korean Longitudinal Study of Ageing. Multinomial logistic regression was used to examine relationships between place of death and relevant factors. Most older adults died in hospitals, followed by at home and in assisted living residences. Hospital and assisted living residence deaths increased while home deaths decreased. In both men and women, higher daily living dependency increased the probability of dying in an assisted living residence. Women were more likely to die in assisted living residences than men, and for persons living in urban areas, there was a decreased likelihood of home death only in women. Findings support that end-of-life care is performed mostly by institutions in Korea and there are gendered patterns. To achieve aging in place, the place of death and community-based terminal care should be more considered when implementing long-term care policies.

Glucosamine exerts a neuroprotective effect via suppression of inflammation in rat brain ischemia/reperfusion injury.

We investigated the neuroprotective effect of glucosamine (GlcN) in a rat middle cerebral artery occlusion model. At the highest dose used, intraperitoneal GlcN reduced infarct volume to 14.3% ± 7.4% that of untreated controls and afforded a reduction in motor impairment and neurological deficits. Neuroprotective effects were not reproduced by other amine sugars or acetylated-GlcN, and GlcN suppressed postischemic microglial activation. Moreover, GlcN suppressed lipopolysaccharide (LPS)-induced upregulation of proinflammatory mediators both in vivo and in culture systems using microglial or macrophage cells. The anti-inflammatory effects of GlcN were mainly attributable to its ability to inhibit nuclear factor kappaB (NF-κB) activation. GlcN inhibited LPS-induced nuclear translocation and DNA binding of p65 to both NF-κB consensus sequence and NF-κB binding sequence of inducible nitric oxide synthase promoter. In addition, we found that GlcN strongly repressed p65 transactivation in BV2 cells using Gal4-p65 chimeras system. P65 displayed increased O-GlcNAcylation in response to LPS; this effect was also reversed by GlcN. The LPS-induced increase in p65 O-GlcNAcylation was paralleled by an increase in interaction with O-GlcNAc transferase, which was reversed by GlcN. Finally, our results suggest that GlcN or its derivatives may serve as novel neuroprotective or anti-inflammatory agents.

Medical expenditure of national health insurance attributable to smoking among the Korean population.

OBJECTIVES: The purpose of this study was to determine the population-attributable risk (PAR) and estimate the total medical expenditure of the Korean National Health Insurance (KNHI) due to smoking. METHODS: We used data from the Korean Cancer Prevention Study of 1,178,138 Koreans aged 30 to 95. These data were available from 1992 to 2003 and covered a long-term follow-up period among the Korean population. RESULTS: The total medical expenditure of KNHI related to smoking increased by 27% from $324.9 million in 1999 to $413.7 million in 2003. By specific diseases, smoking-attributable KNHI medical expenditure was the highest for lung cancer ($74.2 million), followed by stroke ($65.3 million), COPD ($50.1 million), CHD ($49 million) and stomach cancer ($30 million). A total of 1.3 million KNHI patients were suffering from smoking-related diseases in 2003. We predicted rises in total KNHI medical expenditure related to smoking to $675.1 million (63% increase compared with that of 2003) and in the total number of KNHI patients suffering from smoking-related diseases to about 2.6 million (an approximate 100% increase compared with those in 2003) in 2015. CONCLUSIONS: We found a substantial economic burden related to the high smoking prevalence in South Korea.