What is the impact of one's chronic illness on his or her spouse's future chronic illness: a community-based prospective cohort study.

BACKGROUND: Integrating a joint approach to chronic disease management within the context of a couple has immense potential as a valuable strategy for both prevention and treatment. Although spousal concordance has been reported in specific chronic illnesses, the impact they cumulatively exert on a spouse in a longitudinal setting has not been investigated. We aimed to determine whether one's cumulative illness burden has a longitudinal impact on that of their spouse. METHODS: Data was acquired from a community-based prospective cohort that included Koreans aged 60 years and over, randomly sampled from 13 districts nationwide. Data from the baseline assessment (conducted from November 2010 to October 2012) up to the 8-year follow-up assessment was analyzed from October 2021 to November 2022. At the last assessment, partners of the index participants were invited, and we included 814 couples in the analysis after excluding 51 with incomplete variables. Chronic illness burden of the participants was measured by the Cumulative Illness Rating Scale (CIRS). Multivariable linear regression and causal mediation analysis were used to examine the longitudinal effects of index chronic illness burden at baseline and its change during follow-up on future index and spouse CIRS scores. RESULTS: Index participants were divided based on baseline CIRS scores (CIRS < 6 points, n = 555, mean [SD] age 66.3 [4.79] years, 43% women; CIRS ≥ 6 points, n = 259, mean [SD] age 67.7 [4.76] years, 36% women). The baseline index CIRS scores and change in index CIRS scores during follow-up were associated with the spouse CIRS scores (ß = 0.154 [SE: 0.039], p < 0.001 for baseline index CIRS; ß = 0.126 [SE: 0.041], p = 0.002 for change in index CIRS) at the 8-year follow-up assessment. Subgroup analysis found similar results only in the high CIRS group. The baseline index CIRS scores and change in index CIRS scores during follow-up had both direct and indirect effects on the spouse CIRS scores at the 8-year follow-up assessment. CONCLUSIONS: The severity and course of one's chronic illnesses had a significant effect on their spouse's future chronic illness particularly when it was severe. Management strategies for chronic diseases that are centered on couples may be more effective.

Adherence to Physical Distancing and Health Beliefs About COVID-19 Among Patients With Cancer.

BACKGROUND: This study aimed to validate questionnaires on adherence to physical distancing and health beliefs about coronavirus disease 2019 (COVID-19) among patients with cancer and explore their interaction with depression or viral anxiety among them. METHODS: Through an online survey, data from 154 cancer patients (female: 82.5%, breast cancer: 66.2%, current cancer treatment, presence: 65.6%) were collected from March to June 2022. The survey gathered responses to questionnaires on adherence to physical distancing, health beliefs about COVID-19, perceived social norms, Stress and Anxiety to Viral Epidemics-6 items, and Patient Health Questionnaire-2. Confirmatory factor analysis (CFA) for construct validity and structural equation model (SEM) were performed. RESULTS: The CFA showed a good model fit for adherence to physical distancing (comparative fit index [CFI] = 1.000, Tucker-Lewis index [TLI] = 0.930, root-mean-square-error of approximation [RMSEA] = 0.000, and standardized root-mean-square residual [SRMR] = 0.050) and a satisfactory model fit for health beliefs about COVID-19 (CFI = 0.978, TLI = 0.971, RMSEA = 0.061, and SRMR = 0.089). Through SEM, we found that personal injunctive norms were the main mediators linking health beliefs with physical distancing in patients with cancer. Depression also mediated the effects of viral anxiety and perceived severity on physical distancing (χ² = 20.073, df = 15, P = 0.169; CFI = 0.984; RMSEA = 0.047). CONCLUSION: The questionnaires are reliable and valid. Patients with cancer may be able to adhere to physical distancing by addressing perceived severity, viral anxiety, perceived benefits, self-efficacy, perceived barriers, as well as personal injunctive norms.

Mood disorders increase mortality mainly through dementia: A community-based prospective cohort study.

OBJECTIVE: The effects of mood disorders on mortality may be mediated by their effects on the risk of dementia, and interventions to reduce the occurrence of dementia may reduce their overall mortality. This study aimed to investigate the direct effects of depressive and bipolar disorders on the 6-year risk of mortality and also their indirect effects on mortality due to their effect on the risk of dementia. METHODS: A total of 5101 Koreans were selected from a community-based prospective cohort study, and 6-year risks of mortality and dementia in participants with depressive and bipolar disorders were estimated by Cox proportional hazard analysis. The direct and indirect effects of depressive and bipolar disorders on the risk of mortality were estimated using structural equation modeling. RESULTS: The depressive and bipolar disorder groups showed 51% and 85% higher 6-year mortality, and 82% and 127% higher risk of dementia, respectively, compared to euthymic controls. The effects of depressive and bipolar disorders on mortality were mainly mediated by their effects on the risk of dementia in a structural equation model. The direct effects of each mood disorder on mortality were not significant. CONCLUSION: Both depressive and bipolar disorders increased the risks of mortality and dementia, and the effects of mood disorders on mortality were mainly mediated through dementia. As dementia occurs later in life than mood disorders, measures to prevent it may effectively reduce mortality in individuals with a history of mood disorders, as well as being more feasible than attempting to control other causes of death.

Large intracranial volume accelerates conversion to dementia in males and APOE4 non-carriers with mild cognitive impairment.

BACKGROUND: It is unclear how brain reserve interacts with gender and apolipoprotein E4 (APOE4) genotype, and how this influences the progression of Alzheimer's disease (AD). The association between intracranial volume (ICV) and progression to AD in subjects with mild cognitive impairment (MCI), and differences according to gender and APOE4 genotype, was investigated. METHODS: Data from subjects initially diagnosed with MCI and at least two visits were downloaded from the ADNI database. Those who progressed to AD were defined as converters. The longitudinal influence of ICV was determined by survival analysis. The time of conversion from MCI to AD was set as a fiducial point, as all converters would be at a similar disease stage then, and longitudinal trajectories of brain atrophy and cognitive decline around that point were compared using linear mixed models. RESULTS: Large ICV increased the risk of conversion to AD in males (HR: 4.24, 95% confidence interval (CI): 1.17-15.40) and APOE4 non-carriers (HR: 10.00, 95% CI: 1.34-74.53), but not in females or APOE4 carriers. Cognitive decline and brain atrophy progressed at a faster rate in males with large ICV than in those with small ICV during the two years before and after the time of conversion. CONCLUSIONS: Large ICV increased the risk of conversion to AD in males and APOE4 non-carriers with MCI. This may be due to its influence on disease trajectory, which shortens the duration of the MCI stage. A longitudinal model of progression trajectory is proposed.

Healthcare Workers and Patient Loss During the COVID-19 Pandemic: Interaction Between Grief, Viral Anxiety, and Depression.

OBJECTIVE: Coronavirus disease-2019 (COVID-19) had a significant impact on the mental health of healthcare workers. Related assessments should be included in plans for future pandemics. We investigated the connections between grief, viral anxiety, depression, and preoccupation in the context of COVID-19 in healthcare workers, to determine which factors will need to be incorporated. METHODS: A total of 267 healthcare workers who had experienced the death of at least one patient during the COVID-19 pandemic were asked to respond to questionnaires assessing grief, viral anxiety, depression, loneliness, and preoccupation with COVID-19, based on their emotional state during the 2 weeks immediately after the death. Multivariate linear regression, causal mediation analysis and structural equation modeling were used to examine the psychological processes underlying grief. RESULTS: Linear regression showed that viral anxiety (ß=0.287, 95% confidence interval [CI]: 0.235-0.338, p<0.001) and depression (ß= 0.157, 95% CI: 0.073-0.241, p<0.001) had independent associations with preoccupation with COVID-19. Causal mediation analysis revealed that both viral anxiety (proportion mediated: 0.51, 95% CI: 0.37-0.66, p<0.001) and depression (proportion mediated: 0.77, 95% CI: 0.50-1.08, p<0.001) were mediators between grief and preoccupation with COVID-19. In a structural equation model, viral anxiety and depression mediated most of the effects of grief on preoccupation with COVID-19, and loneliness was a mediator between grief and depression. CONCLUSION: Contingency plans for the next pandemic are being formulated. Effective measures to protect the mental health of healthcare workers should be included, and such measures should consist of assessments for grief, viral anxiety, depression, and loneliness.

Psychometric properties of the Korean version of questionnaires on adherence to physical distancing and health beliefs about COVID-19 in the general population.

Introduction: We aimed to examine the psychometric properties of the Korean version of the questionnaires on adherence to physical distancing and health beliefs about COVID-19 in the general population in South Korea. In addition, we investigated how the various sections interacted with each other and with viral anxiety and depression, and ultimately affected adherence to physical distancing. Methods: An anonymous online survey was conducted among members of the general population in South Korea between 10 and 18 January 2022. We recruited 400 respondents and measured their demographic information, symptoms, and responses to questions about COVID-19. First, we examined the reliability and validity of the questionnaires, which included questions about people's adherence to physical distancing guidelines and COVID-19-related health beliefs. Second, we examined the relationship between physical distancing and viral anxiety or depression, as assessed using the six-item Stress and Anxiety to Viral Epidemics (SAVE-6) scale and the Patient Health Questionnaire-9 (PHQ-9). Results: All 400 participants (204 men, age 41.6 ± 10.8) completed the survey. Confirmatory factor analysis revealed a good model fit for adherence to physical distancing (CFI = 1.000, TLI = 1.019, RMSEA = 0.000, and SRMR = 0.034) and health beliefs about COVID-19 (CFI = 0.993, TLI = 0.991, RMSEA = 0.030, and SRMR = 0.052). It also showed good reliability for Factor I (Cronbach's α = 0.826) and Factor II (α = 0.740). Four categories of the COVID-19 health beliefs questionnaire also showed good reliability for perceived susceptibility (α = 0.870), perceived severity (α = 0.901), perceived benefit (α = 0.935), and barriers to following physical distancing (α = 0.833). Structural equation models showed that the effects of health beliefs and viral anxiety and depression were mediated mostly by personal injunctive norms. Goodness-of-fit measures indicated a good fit. (Chi-square = 24.425, df = 7, p < 0.001; CFI = 0.966; RMSEA = 0.079). Conclusion: The Korean version of the COVID-19 adherence to physical distancing and health beliefs questionnaires showed good reliability and validity in the Korean general population. In addition, the effects of health beliefs, along with viral anxiety and depression, were mainly mediated by personal injunctive norms.

The influence of personality and dysfunctional sleep-related cognitions on the severity of insomnia.

Previous findings suggest that personality traits and dysfunctional sleep-related cognitions may perpetuate insomnia, but findings concerning this have been scarce. Thus, we hypothesized that personality and sleep-related cognitions influence the severity of insomnia, and investigated the association personality and sleep-related cognitions had with various sleep-related parameters, including severity of insomnia. Forty-four patients with psychophysiological insomnia were assessed using The Temperament and Character Inventory, the Insomnia Severity Index, the Pittsburgh Sleep Quality Index, the Epworth Sleepiness Scale, the Dysfunctional Belief and Attitudes toward Sleep Scale, the Pre-Sleep Arousal Scale and the Hospital Anxiety and Depression Scale. Insomnia severity was significantly and positively correlated with harm avoidance, self-transcendence and sleep-related cognitions, and negatively correlated with novelty seeking, reward dependence, and cooperativeness. Dysfunctional sleep-related cognitions were positively correlated with insomnia severity and sleep quality. Stepwise multiple regression analysis showed that sleep-related cognitions, depression and reward dependence scores were significant determinants of insomnia severity, and that sleep-related cognitions and self-transcendence were significant positive determinants of sleep quality. Reward dependence, depression and sleep-related cognitions were associated with insomnia severity, and comparison with previous findings implied that 'internalizing behavior' and depression may be more plausible candidates for the link between personality and insomnia than anxiety. Considering the major role of cognitive-behavioral treatment (CBT) in the treatment of insomnia, assessment of these factors and management of sleep-related cognitions may help alleviate symptoms in patients with insomnia.

The impact of temperament and character on the efficacy of nonpharmacologic treatment of primary insomnia.

Nonpharmacologic treatment, also known as cognitive behavioral treatment, is a first-line treatment of primary insomnia. We aimed to assess factors, including temperament and character, that were associated with responses to nonpharmacologic treatments of primary insomnia, that may assist physicians to recommend appropriate treatment. Outpatients diagnosed with psychophysiological insomnia (n = 99) were recruited between May 2009 and January 2010. Among 69 patients who consented to participate, 44 completed treatment and all assessment measures. In addition, 37 normal control subjects were also recruited. Baseline characteristics were assessed using the Temperament and Character Inventory, the Insomnia Severity Index, the Pittsburgh Sleep Quality Index, the Epworth Sleepiness Scale, the Dysfunctional Beliefs and Attitudes about Sleep scale, and the Hospital Anxiety and Depression Scale. After treatment, all assessment scales excluding the Temperament and Character Inventory were repeated. All patients received nonpharmacologic treatments, including sleep restriction, cognitive therapy, and sleep hygiene education. Novelty seeking, harm avoidance, reward dependence, cooperativeness, and self-transcendence scores were significantly different between normal controls and study subjects. Participants were divided into treatment responders (n = 23) and nonresponders (n = 21). Responders were significantly younger (50.3 ± 12.8 vs 58.7 ± 9.6 years, P = .02) and had significantly higher reward dependence scores (51.7 ± 5.9 vs 42.9 ± 6.9, P < .01) compared with nonresponders. The difference in reward dependence scores remained significant after controlling for other factors (odds ratio, 1.23; 95% confidence interval, 1.08-1.40; P = .01). Among personality dimensions, reward dependence was significantly associated with response to nonpharmacologic treatment in patients with primary insomnia.

Novel Alzheimer's disease risk variants identified based on whole-genome sequencing of APOE ε4 carriers.

Alzheimer's disease (AD) is a progressive neurodegenerative disease associated with a complex genetic etiology. Besides the apolipoprotein E ε4 (APOE ε4) allele, a few dozen other genetic loci associated with AD have been identified through genome-wide association studies (GWAS) conducted mainly in individuals of European ancestry. Recently, several GWAS performed in other ethnic groups have shown the importance of replicating studies that identify previously established risk loci and searching for novel risk loci. APOE-stratified GWAS have yielded novel AD risk loci that might be masked by, or be dependent on, APOE alleles. We performed whole-genome sequencing (WGS) on DNA from blood samples of 331 AD patients and 169 elderly controls of Korean ethnicity who were APOE ε4 carriers. Based on WGS data, we designed a customized AD chip (cAD chip) for further analysis on an independent set of 543 AD patients and 894 elderly controls of the same ethnicity, regardless of their APOE ε4 allele status. Combined analysis of WGS and cAD chip data revealed that SNPs rs1890078 (P = 6.64E-07) and rs12594991 (P = 2.03E-07) in SORCS1 and CHD2 genes, respectively, are novel genetic variants among APOE ε4 carriers in the Korean population. In addition, nine possible novel variants that were rare in individuals of European ancestry but common in East Asia were identified. This study demonstrates that APOE-stratified analysis is important for understanding the genetic background of AD in different populations.

The association of psychosocial and familial factors with adolescent suicidal ideation: A population-based study.

We aimed to compare the influence of various parental factors on adolescent suicidal ideas from a population-based sample of 2965 adolescents between 15 to 18 years-old, and their parents. Among the subject variables, gender, satisfaction with one's health, having an illness, and satisfaction with family; and among parental variables, fathers' satisfaction with health; mothers' insufficient sleep; parents' history of suicidal ideation, and satisfaction with family were significantly different in adolescents who reported suicidal ideation compared to those who reported none. Odds ratios indicated increased risk of adolescent suicidal ideation was associated with the subject factors female gender, insufficient sleep, dissatisfaction with one's health, dissatisfaction with family, and with maternal data showing insufficient sleep and a positive history of suicidal impulse. A path analysis model (comparative fit index (CFI)=0.907; root mean square error of approximation (RMSEA)=0.047), indicated psychosocial factors (beta=0.232) had a greater influence on adolescent suicidal ideation than did genetic factors (beta=0.120). These results show psychosocial factors have an almost two-fold greater influence on adolescent suicidal ideation than genetic factors. Assessment and modification of these factors would greatly assist future interventions.