Suicidal behaviors in patients with chronic physical illness: A test on the interpersonal theory of suicide.

INTRODUCTION: The unalleviated burden of chronic physical illness (CPI) increases the risk of suicidal behaviors (SB) in affected individuals. This study tested the interpersonal theory of suicide (ITS) in patients with CPI. METHODS: Patients diagnosed with cardiovascular, cerebrovascular, and renal diseases were recruited from two hospitals in South Korea. Data from 257 participants who completed Time (T) 1 and T2 surveys were analyzed. Hierarchical regression analyses for passive and active suicide ideation (PSI and ASI), and suicide plans and attempts (SP and SA) at both time points were conducted. RESULTS: Interpersonal theory of suicide hypotheses were partially supported. Even accounting for factors such as depression, anxiety, and lifetime SA, some main and interaction effects of the ITS constructs explained SB in a cross-sectional examination, but to a lesser degree in a longitudinal examination that controlled for T1 SB. PB was a consistent correlate of SB. TB was also relevant, as PB-SA association was significant among participants with high TB both times. ASI was associated with SP and SA at T1, and the ASI-SP association at T1 was stronger at a high CS level. CONCLUSIONS: Overall, the results suggest the relevance of ITS constructs that warrant attention to prevent SB in patients with CPI.

Association of perceived inequality, relative deprivation and loneliness with the trajectory of anger in university students.

OBJECTIVE: To examine the trajectory of anger and its psychosocial predictors (i.e., perceived social inequality, relative deprivation, and loneliness) as well as its association with anxiety and depression. PARTICIPANTS/METHOD: Students (N = 365) completed an online survey three times over a one-year period. RESULTS: Three trajectories of anger were identified by growth mixture modeling: low/stable (i.e., a low and stable anger over time; 88.0%), low/increasing (i.e., a low level of anger with an increasing trend; 6.7%), and moderate/decreasing class (i.e., a moderate level of anger with a decreasing trend; 5.3%). A greater perception of relative deprivation, but not of perceived social inequality, was associated with the low/increasing class. A greater level of loneliness was associated with the moderate/decreasing class. Symptoms of depression and anxiety were higher in the moderate/decreasing and low/increasing class than in the low/stable class. CONCLUSIONS: These results suggest that interventions targeted at anger may benefit from addressing perceptions of relative deprivation and loneliness.

Do posttraumatic stress symptoms predict trajectories of sleep disturbance and fatigue in patients with breast cancer? A parallel-process latent growth model.

OBJECTIVE: Using a parallel-process latent growth model (LGM), this study examined whether posttraumatic stress symptoms (PTSS) are associated with the trajectory of sleep disturbance (SD) and fatigue and whether the SD trajectory mediates the PTSS-fatigue relationship. METHODS: Data were from 215 patients with breast cancer recruited from a tertiary hospital in South Korea. A self-report survey was administered at four time points during the course of adjuvant chemotherapy. RESULTS: The mean age of the participants was 46.69 (SD = 9.08) and the majority was at stage I and the average months since diagnosis was 1.33 (SD = 1.43). Unconditional parallel-process LGM indicated that SD and fatigue were positively associated with each other, both in terms of initial status and growth rate. Then, the conditional parallel-process LGM with baseline PTSS (i.e., avoidance, intrusion, and hyperarousal) as predictors were examined and anxiety, depressive symptoms and chronotype were entered as covariates in the model. Results indicated that a higher initial status and faster growth of SD were associated with a faster increase in fatigue. Greater baseline hyperarousal was directly related to a higher initial status and a slower increase in SD, and higher initial fatigue. Furthermore, a higher hyperarousal was associated with a greater initial SD, which was related to a faster increase in fatigue. Additionally, the late chronotype was related to a faster increase in fatigue through its impact on the initial SD. CONCLUSIONS: The detrimental impact of hyperarousal on the SD trajectory and fatigue suggests the need to intervene in PTSS and SD early and throughout the course of cancer treatments to prevent fatigue.

Trajectory of fear of cancer recurrence and beliefs and rates of medication adherence in patients with breast cancer.

OBJECTIVE: This study examined the growth trajectory of fear of cancer recurrence (FCR) and its predictors, and the association of that trajectory with the beliefs and rates of medication adherence in patients with breast cancer. METHODS: Two hundred and ten patients with breast cancer undergoing adjuvant endocrine therapy in a university hospital in Seoul, Korea, were followed up five times over 18 months following surgery, and data from the final 162 patients were analyzed. RESULTS: Latent class growth analysis identified three classes. Classes 1 (38.31%) and 2 (39.89%) showed low and moderate FCR levels, respectively, with a decreasing trend over time. Class 3 (21.80%) showed a high FCR level with an initially decreasing but increasing trend afterward s. Lower education and unemployed status were associated with the high FCR class. Higher depression was more associated with the moderate FCR class than the low FCR class. Higher emotional representation was more associated with the high FCR class than with low FCR class, and greater illness comprehension was more associated with the moderate FCR class than with the high FCR class. Both necessity and concerns about medication were the highest in the high FCR class. However, self-reported medication adherence rates did not significantly differ between the classes. CONCLUSIONS: A high level of FCR appears to persist over time, and given its association with greater concerns about medication, monitoring and management of FCR throughout the cancer trajectory.

Profiles of depressive symptoms and the association with anxiety and quality of life in breast cancer survivors: a latent profile analysis.

PURPOSE: The aim of this study was to examine profiles of depressive symptoms and the association with anxiety and quality of life (QOL) in breast cancer survivors. METHODS: A cross-sectional multicenter survey involving 5 hospitals in Korea was implemented between February 2015 and January 2017. A self-report survey included the Patient Health Questionnaire-9, Short Form 36, and State and Trait Anxiety Scale. Data from 347 patients were analyzed. RESULTS: Latent profile analysis identified five profiles of depressive symptoms: (1) "no depression" (63.98%); (2) "mild depression with sleep problems" (16.43%); (3) "mild depression" (8.65%); (4) "moderate depression with anhedonia" (7.78%); and (5) "moderately severe depression" (3.17%). Results from Fisher's exact test and analysis of variance (ANOVA) to examine whether sociodemographic and clinical characteristics distinguish the classes indicated that marital status, income and education as well as C-reactive protein distinguished a few classes. Multivariate analysis of covariance and analysis of covariance results indicated that both types of anxiety as well as several dimensions of QOL differed between the identified classes. CONCLUSIONS: The current results suggest that although identified classes were characterized overall by severity of depression, a few classes also reflected pronounced individual symptom patterns, warranting tailored interventions for these symptom patterns, along with overall severity of depression.

A network analysis of the Brief Illness Perception Questionnaire in patients with rheumatic diseases and human immunodeficiency virus infection.

Objective: To examine the construct of illness perception (IP) as measured by the Brief Illness Perception Questionnaire (BIPQ) using network analysis in patients with rheumatic diseases (RD) and with human immunodeficiency virus infection and acquired immune deficiency syndrome (HIV/AIDS).Design: Cross-sectional and multicentre survey.Main Outcome Measures: The BIPQ and the Hospital Anxiety and Depression Scale.Results: BIPQ network structures did not differ between patients with RD and HIV/AIDS. Community analysis identified two clusters: one comprised consequences, timeline, identity, concern and emotional response; and the other consisted of personal control, treatment control and comprehensibility. Centrality indices indicate that concern, consequences and emotional response are central dimensions of the BIPQ. Directed acyclic graph analysis revealed that concern was a dominant network item, activating emotional response, consequences, identity and comprehensibility. Emotional response and consequences were bridging items linking IP to anxiety and depression.Conclusion: Perceived impact of illness on life and emotion and illness concern are central dimensions of the BIPQ that link IP to anxiety and depression in patients with RD and HIV/AIDS. Care of patients with RD and HIV/AIDS may benefit from addressing IP, particularly concern, emotional response and consequences to prevent clinical anxiety and depression.

Cross-Cultural Validation of the Korean Version of the Chalder Fatigue Scale.

PURPOSE: University students are vulnerable to fatigue. If not adequately dealt with, fatigue might develop into various health problems and negatively affect quality of life (QOL). The present study examined psychometric properties of the Korean version of the Chalder Fatigue Scale (K-CFQ) in university students. METHOD: Data were obtained from two samples of undergraduate students in Korea. The first dataset (N = 557) was collected in a cross-sectional survey in 2015 and the second dataset (N = 338) from a longitudinal survey with three time points over a semester period in 2016. Participants completed measures of fatigue, QOL, depression, anxiety, and sleep quality. RESULTS: Three-factor model (physical fatigue, low energy, and mental fatigue) rather than the original two-factor model (physical and mental fatigue) provided a better goodness of fit indices to the data. Internal consistency of the K-CFQ was satisfactory, with Cronbach's α value of 0.88 for the total scale and those of subscales ranging from 0.73 to 0.87. Its convergent validity was supported by its significant association with anxiety, depression, sleep quality, and QOL. Significant association between T1 K-CFQ with physical QOL at T2 and T3 supported its predictive validity. Its known-group validity was proven with higher K-CFQ scores observed in the participants with depression and those with poor sleep quality. CONCLUSIONS: Current results suggest that K-CFQ is a valid and reliable measure of fatigue, and a better model fit of the three-factor structure of the K-CFQ implies potential cross-cultural differences in the dimensionality of fatigue.