Depressive Symptoms and Incident Heart Failure Risk in the Southern Community Cohort Study

OBJECTIVES

This study aims to examine whether greater frequency of depressive symptoms associates with increased risk of incident heart failure (HF).

BACKGROUND

Depressive symptoms associate with adverse prognosis in patients with prevalent HF. Their association with incident HF is less studied, particularly in low-income and minority individuals.

METHODS

We studied 23,937 Black or White Southern Community Cohort Study participants (median age: 53 years, 70% Black, 64% women) enrolled between 2002 and 2009, without prevalent HF, receiving Centers for Medicare and Medicaid Services coverage. Cox models adjusted for traditional HF risk factors, socioeconomic and behavioral factors, social support, and antidepressant medications were used to quantify the association between depressive symptoms assessed at enrollment via the Center for Epidemiologic Studies Depression Scale (CESD-10) and incident HF ascertained from Centers for Medicare and Medicaid Services International Classification of Diseases-9th Revision (ICD-9) (code: 428.x) and ICD-10 (codes: I50, I110) codes through December 31, 2016.

RESULTS

The median CESD-10 score was 9 (IQR: 5 to 13). Over a median 11-year follow-up, 6,081 (25%) participants developed HF. The strongest correlates of CESD-10 score were antidepressant medication use, age, and socioeconomic factors, rather than traditional HF risk factors. Greater frequency of depressive symptoms associated with increased incident HF risk (per 8-U higher CESD-10 HR: 1.04; 95% CI: 1.00 to 1.09; P = 0.038) without variation by race or sex. The association between depressive symptoms and incident HF varied by antidepressant use (interaction-P = 0.03) with increased risk among individuals not taking antidepressants.

CONCLUSIONS

In this high-risk, low-income, cohort of predominantly Black participants, greater frequency of depressive symptoms significantly associates with higher risk of incident HF.

Using the Apriori Algorithm to Explore Caregivers' Depression by the Combination of the Patients with Dementia and Their Caregivers

Purpose

The purpose of this study was to identify the caring scenarios that result in severe depression in caregivers caring for dementia patients.

Patients and Methods

A cross-sectional study with 1111 dementia patients and their caregivers in Taiwan from October 2015 to January 2020 was conducted. Gender, age, type of dementia, clinical dementia rating, walking ability, mood symptoms, behavioral symptoms, and psychological symptoms were the variables from the dementia patients. Age, relation to the patient, employment, type of primary care, frequency of care, mood symptoms, and the score from the Center for Epidemiologic Studies Depression Scale were the variables from the caregivers. A comprehensive viewpoint of both dementia patients and their caregivers was evaluated by the Apriori algorithm to find the attributes resulting in different caregiving depressions.

Results

Forty-seven rules were found with 18 rules of mild depressive symptomatology, 17 rules of moderate depressive symptomatology, and 12 rules of severe depressive symptomatology. A total of 7 general rules were summarized to be the severe depressive symptomatology. The results showed that an unemployed or retired caregiver with the mood symptoms such as helplessness, anger, emotional liability, or anxiety who took care of AD patients or AD patients with a moderate severity would have severe depression. Increased care frequencies (≥6 days per week) and multiple mood problems from caregivers result in severe depression. The composition of adult children, patients' aggression, and caregivers' helplessness as well as the combinations of male patients aged 75-84 years with the caregiver's mood of helplessness or nervousness and hopelessness were highly associated with severe depression.

Conclusion

For those caring for AD patients, severe depression was associated with the combination of different parameters to constitute each of these seven scenarios. Unlike previous studies which often evaluated one or two variables related to caregiver's depression, this study provided a more comprehensive viewpoint that enabled the collaborative team to efficiently identify and manage different scenarios by summarizing the rules of caregivers with severe depression from a systematic viewpoint.

Gender differential impact of bereavement on health outcomes: evidence from the China Health and Retirement Longitudinal Study, 2011-2015

BACKGROUND

Bereavement is the experience of an individual following the death of a person of significance to the individual, most often referring to the spouse. Increased morbidity, health care utilization, and mortality are known to be associated with bereavement. Given China's growing population of older adults, there is a critical need to assess the health consequences of bereavement.

METHOD

We use data from the China Health and Retirement Longitudinal Study to examine the impact of bereavement on mental health and quality of life among a sample of mid- and older-aged adults. We use propensity score matching to construct a matching sample and difference-in-differences method to estimate the impact of bereavement on mental health and self-assessed health.

RESULTS

We find bereavement is associated with increased depression symptoms among women (1.542 point or 0.229 standard deviations of Center for Epidemiologic Studies Depression (CES-D) 10 score) but not consistently for men over time. No statistically significant effect of bereavement on self-assessed health is found.

CONCLUSIONS

Our results show a harmful impact of bereavement on mental health among older women in China and point to the need for a comprehensive policy on survivor benefits in China, particularly for rural older women.

Latent structure of the Centre for Epidemiologic Studies Depression Scale (CES-D) in older adult populations: a systematic review

Objective: The Center for Epidemiologic Studies Depression Scale (CES-D) is a 20-item, self-report metric intended to measure depression. Despite being one of the most popular depression scales, the psychometric properties, specifically the underlying factor structure of the scale, have come under scrutiny. The latent structure of a scale is a key indicator of its construct validity, i.e. the degree to which the intended variable is captured. To date, a comprehensive review of the latent structure of the CES-D in older adult populations (≥65 years old) has not been conducted. We aimed to examine the latent structure of the CES-D in samples of older adults to assess its ability to capture depressive symptoms.Methods: A systematic review across Scopus, Web of Science, and PsycINFO databases was conducted. Original studies conducting latent variable analysis of the 20-item CES-D in samples aged ≥65 years old were included.Results: Included studies (n = 6) were primarily conducted with community-dwelling older adults in the United States. Studies that conducted exploratory and confirmatory factor analysis (n = 2) revealed two latent factors, whereas those conducting confirmatory factor analysis of previously identified structures (n = 4) revealed four-factor structures in line with the original four-factor structure.Conclusions: A general alignment with the original four-factor structure of the CES-D provides tentative support for continued use amongst older adults; however, further research is required to provide conclusive evidence for these psychometric properties.

Presenteeism among Chinese workers in Japan and its relationship with mental health and health-promoting lifestyles

This study aimed to investigate factors related to presenteeism among Chinese workers residing in Japan by assessing their mental state and health-promoting lifestyles. An anonymous, self-reported questionnaire was administered to 450 Chinese workers living in Hiroshima Prefecture, of whom, 313 completed it in its entirety. Results showed that 40.6% reported suffering from depression (Center for Epidemiologic Studies Depression Scale, CES-D). Sociodemographic characteristics such as being female, having a lower educational background, being widowed/divorced, having fewer years of residence, fluency in basic-level Japanese, being employed part-time, being an engineer, and workplace environment (having no health education in the workplace) increased the likelihood of depression. Path analysis indicated that marital status (being married) was negatively associated with presenteeism on the Work Limitations Questionnaire-Chinese version via work-related stress. There was a positive correlation between work-related stress and presenteeism through mental health (CES-D). Health-promoting lifestyles (Health-Promoting Lifestyle Profile II) showed a negative correlation with presenteeism, via work-related stress and mental health. Furthermore, health-promoting lifestyles showed a direct negative association with presenteeism. Thus, health education that emphasizes mental health was a significant factor for improving presenteeism. Furthermore, the provision of health education shortly after Chinese workers had arrived in Japan is important.

Depressive Symptomatology in Early Retirees Associated With Reason for Retirement-Results From the Population-Based LIFE-Adult-Study

BACKGROUND

Transition from employment to retirement is regarded a crucial event. However, there is mixed evidence on associations between retirement and mental health, especially regarding early retirement. In Germany, cases of early retirement due to ill health-particularly, mental ill health-are increasing. Therefore, we investigated the association between early retirement and depressive symptoms, including information on different types of early retirement.

METHODS

We analyzed data from 4,808 participants of the population-based LIFE-Adult-Study (age: 40-65 years, 654 retired, 4,154 employed), controlling for sociodemographic information, social network, pre-existing health conditions, and duration of retirement. Depressive symptoms were assessed using the Center for Epidemiologic Studies Depression Scale. Regression analysis using entropy balancing was applied to achieve covariate balance between retired and employed subjects.

RESULTS

We found no overall-differences in depressive symptoms between employed and retired persons (men: b = -.52; p = 0.431; women: b = .05; p = .950). When looking at different types of early retirement, ill-health retirement was linked to increased depressive symptoms in women (b = 4.68, 95% CI = 1.71; 7.65), while voluntary retirement was associated with reduced depressive symptoms in men (b= -1.83, 95% CI = -3.22; -.43) even after controlling for covariates. For women, statutory retirement was linked to lower depressive symptomatology (b = -2.00, 95% CI = -3.99; -.02).

CONCLUSION

Depressive symptomatology among early retirees depends on reason for retirement: For women, ill-health retirement is linked to higher levels of depressive symptoms. Women who retire early due to ill-health constitute a risk group for depressive symptoms that needs specific attention in the health care and social security system.

A study on classification features of depressive symptoms in adolescents

Although extensive literature has addressed depression among adolescents, few studies have emphasized the classification features of depressive symptoms in adolescents. To gain insight into the hierarchy and heterogeneity of depression in adolescents based on symptoms, 5086 adolescents completed the Chinese version of the Center for Epidemiological Studies Depression Scale (CES-D). Using Latent Class Analysis (LCA), we identified different subgroups of adolescents based on depressive symptoms. Multivariate logistic regression analysis was implemented to examine the relations between latent classes and demographic covariates. Four latent classes of individuals with depressive symptoms displaying a pattern of hierarchical organization were identified. The four classes were ordered by the degree of severity, ranging from the students reporting the highest number of depressive symptoms to the lowest number: "probable clinical depression", "subthreshold depression", "mild depression" and "low depression", accounting for 8.2%, 19.2%, 41.8% and 30.8% of total sample respectively. Further analyses revealed that compared to the "mild depression" class, the rest of three classes differed significantly across age groups and only child (vs. sibling) status. In conclusion, classifying the groups of adolescents based on features of depressive symptoms is potentially useful for understanding risk factors and developing tailored prevention and intervention programs for this age group.

The Reliability and Validity of the Center for Epidemiologic Studies Depression Scale (CES-D) for Chinese University Students

Aims: Depression is prevalent among university students worldwide, and the prevalence appears to be increasing. As an intermediate stage between being healthy and having depression, students with subthreshold depression could develop worsening depression or recover with intervention to prevent depression. The Center for Epidemiologic Studies Depression Scale (CES-D) is a useful tool to assess subthreshold depression. The primary purpose of the current study was to evaluate the psychometric characteristics of CES-D in Chinese university students. Secondly, we aimed to describe the prevalence of subthreshold depression among the student sample and examine its demographic correlates. Methods: A total of 2,068 university students participated in the study, and they were asked to respond to the Chinese CES-D, Beck Depression Inventory-II (BDI-II), and Positive and Negative Affect Schedule (PANAS). The factor structure was evaluated by conducting exploratory (EFA) and confirmatory factor analysis (CFA) using a structural equation modeling approach. The reliability was assessed by calculating Cronbach's alpha, inter-item correlation, and item-total correlation coefficients. The prevalence of subthreshold depression was calculated and demographic correlates of gender, grade, and major were examined by multiple regression. Results: The final sample included 1,920 participants. The EFA results suggested extraction of three factors (somatic symptoms, negative affect, and anhedonia) that account for 52.68% of total variance. The CFA results suggested that the newly derived model with 14 items was the best fit for our data. Six items were removed from the original scale (item 9, 10, 13, 15, 17, and 19). The Cronbach's alpha of the 14-item CES-D was 0.87. The prevalence of subthreshold depression among university students reached 32.7% for the 20-item CES-D and 31% for the 14-item CES-D, although there was no significant difference of prevalence in gender, grade, and major. Conclusions: The CES-D has good reliability and validity for assessing subthreshold depression in Chinese university students.

Depressive symptoms following natural disaster in Korea: psychometric properties of the Center for Epidemiologic Studies Depression Scale

Background

Depressive symptoms have been recognized as one of the most frequent complaints among natural disaster survivors. One of the most frequently used self-report measures of depressive symptoms is the Center for Epidemiologic Studies Depression Scale (CES-D). To our knowledge, no study has yet examined the factor structure, reliability, and validity of the CES-D in a sample of natural disaster survivors. Thus, the present study investigated the factor structure, reliability, and validity of a Korean language version of the CES-D (KCES-D) for natural disaster survivors.

Methods

We utilized two archived datasets collected independently for two different periods in 2008 in the same region of Korea (n = 192 for sample 1; n = 148 for sample 2). Participants were survivors of torrential rains in the mid-eastern region of the Korean peninsula. For analysis, Samples 1 and 2 were merged (N = 340). Confirmatory factor analysis was performed to evaluate the one-factor model, the four-factor model, and the bi-factor models, as well as the second-order factor model. Composite reliability was computed to examine the internal consistency of the KCES-D total and subscale scores. Finally, Pearson’s r was computed to examine the relationship between the KCES-D and the trauma-related measures.

Results

The four-factor model provided the best fit to the data among the alternatives. The KCES-D showed adequate internal consistency, except for the ‘interpersonal difficulties’ subscale. Also regarding concurrent validity, weak to moderate positive correlations were observed between the KCES-D and the trauma-related measures.

Conclusions

The results support the four-factor model and indicate that the KCES-D has adequate psychometric properties for natural disaster survivors. If these findings are further confirmed, the KCES-D can be used as a useful, rapid, and inexpensive screening tool for assessing depressive symptoms in natural disaster survivors.

Application of a stratum-specific likelihood ratio analysis in a screen for depression among a community-dwelling population in Japan

BACKGROUND

Efficient screening for depression is important in community mental health. In this study, we applied a stratum-specific likelihood ratio (SSLR) analysis, which is independent of the prevalence of the target disease, to screen for depression among community-dwelling individuals.

METHOD

The Center for Epidemiologic Studies Depression Scale (CES-D) and the Mini International Neuropsychiatric Interview (MINI) were administered to 789 individuals (19-87 years of age) who participated in the Iwaki Health Promotion Project 2011. Major depressive disorder (MDD) was assessed using the MINI.

RESULTS

For MDD, the SSLRs were 0.13 (95% CI 0.04-0.40), 3.68 (95% CI 1.37-9.89), and 24.77 (95% CI 14.97-40.98) for CES-D scores of 0-16, 17-20, and above 21, respectively.

CONCLUSION

The validity of the CES-D is confirmed, and SSLR analysis is recommended for its practical value for the detection of individuals with the risk of MDD in the Japanese community.

Screening for Depression among Community-dwelling Elders: Usefulness of the Center for Epidemiologic Studies Depression Scale

CONTEXT

Though common, depressive disorders often remain undetected in late life.

AIM

To examine the usefulness of Center for Epidemiologic Studies Depression (CES-D) for identifying depression among older people.

SETTINGS AND DESIGN

Community resident older people (aged 65 years or more), were evaluated by clinicians trained in psychiatry, as part of a cross-sectional study of late-life depression. Assessments were done in the community.

METHODS AND MATERIAL

The participants were assigned ICD-10 diagnoses and assessed using Montgomery-Asberg Depression Rating Scale (MADRS) and CES-D. A short version of CES-D with 10 items, translated to the local language Malayalam, was used.

STATISTICAL ANALYSIS

The sensitivity and specificity of CES-D was evaluated against ICD-10 clinical diagnosis of depression. The correlation of CES-D and MADRS was assessed using Pearson correlation coefficient.

RESULTS

220 consenting adults from 3 wards of the Panchayath were assessed. On analysis of the Receiver Operating Characteristic (ROC) curve of CES-D scores in relation to clinical diagnosis, the large Area Under Curve (AUC) showed efficient screening and a cut off score of 4 in CES-D had a sensitivity of 97.7% and a specificity of 79.1% for depression. There was also good correlation between the MADRS and CES-D scores (0.838).

CONCLUSION

CES-D is a short simple scale which can be used by health care professionals for detecting depression in older people in primary care settings.

Fluctuations of spontaneous EEG topographies predict disease state in relapsing-remitting multiple sclerosis

Spontaneous fluctuations of neuronal activity in large-scale distributed networks are a hallmark of the resting brain. In relapsing-remitting multiple sclerosis (RRMS) several fMRI studies have suggested altered resting-state connectivity patterns. Topographical EEG analysis reveals much faster temporal fluctuations in the tens of milliseconds time range (termed “microstates”), which showed altered properties in a number of neuropsychiatric conditions.

We investigated whether these microstates were altered in patients with RRMS, and if the microstates' temporal properties reflected a link to the patients' clinical features.

We acquired 256-channel EEG in 53 patients (mean age 37.6 years, 45 females, mean disease duration 9.99 years, Expanded Disability Status Scale ≤ 4, mean 2.2) and 49 healthy controls (mean age 36.4 years, 33 females). We analyzed segments of a total of 5 min of EEG during resting wakefulness and determined for both groups the four predominant microstates using established clustering methods.

We found significant differences in the temporal dynamics of two of the four microstates between healthy controls and patients with RRMS in terms of increased appearance and prolonged duration. Using stepwise multiple linear regression models with 8-fold cross-validation, we found evidence that these electrophysiological measures predicted a patient's total disease duration, annual relapse rate, disability score, as well as depression score, and cognitive fatigue measure.

In RRMS patients, microstate analysis captured altered fluctuations of EEG topographies in the sub-second range. This measure of high temporal resolution provided potentially powerful markers of disease activity and neuropsychiatric co-morbidities in RRMS.

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EEG microstates analyses provide high resolution of temporal dynamics of brain networks.

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Temporal parameters of EEG microstates are altered in Multiple Sclerosis

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Altered microstate parameters predict several clinical characteristics in patients

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We propose an EEG microstate based marker to characterize disease evolution in patients

Depressive symptoms, thyroid hormone and autoimmunity in a population-based cohort from Sardinia

OBJECTIVE

To evaluate the association between depressive symptoms and thyroid autoimmunity, and the effect of thyroid hormone on the risk of depression.

METHODS

We included 3138 individuals from SardiNIA project, none of whom was taking thyroid medication and antidepressants. Thyrotropin (TSH), free thyroxine (FT4), and antibodies against thyroperoxidase (TPOAb) were measured in all the sample. Depressive symptoms were assessed with Center for Epidemiologic Studies Depression Scale (CES-D).

RESULTS

We found no association between TPOAb and depressive symptoms and no linear association between TSH or FT4 levels and depressive symptoms. However, individuals in the lowest and highest FT4 quintiles showed a higher CES-D score compared to individuals in the middle quintile. In addition, participants in the lowest and highest FT4 quintiles had an increased risk of CES-D≥16 with odds ratios of 1.44 (95% CI=1.09-1.89) and 1.33 (95% CI=1.01-1.77), respectively.

LIMITATIONS

Cross-sectional design of the study.

CONCLUSIONS

A U-shaped relation was found between FT4 and depressive symptoms: compared to average FT4 values, both high and low thyroid function was associated with more depressive symptoms. Further studies are necessary to determine the exact cause-effect relation of this association.

A longitudinal pilot study of depressive symptoms in concussed and injured/nonconcussed National Collegiate Athletic Association Division I student-athletes

CONTEXT

Depression, which affects millions of Americans each year, among them collegiate student-athletes, can be caused by a wide range of circumstances, including sport-related injuries.

OBJECTIVE

To longitudinally examine the extent to which National Collegiate Athletic Association Division I student-athletes demonstrated postinjury depressive symptoms.

DESIGN

Descriptive epidemiologic study.

SETTING

National Collegiate Athletic Association Division I collegiate athletics.

PATIENTS OR OTHER PARTICIPANTS

Concussed, injured/nonconcussed, and healthy Division I collegiate student-athletes (aged 18-22 years) competing in men's basketball, football, and wrestling and women's basketball, soccer, and volleyball.

MAIN OUTCOME MEASURE(S)

Participants completed the Center for Epidemiologic Studies Depression Scale at baseline and at 1 week, 1 month, and 3 months postinjury. We measured differences in depressive scores among concussed, injured/nonconcussed, and healthy participants. Longitudinal changes in postconcussion depressive symptoms were also examined.

RESULTS

No differences in baseline depressive symptoms among subgroups were noted. After an increase between baseline and 1 week (4.3, 95% confidence interval [CI] = 0.41, 8.16, P = .02), depressive symptoms in the concussion group decreased between 1 week and 1 month (-2.7, 95% CI = -4.96, -0.47, P = .01) and between 1 week and 3 months (-4.0, 95% CI = -6.50, -1.49, P = .004). The injured/nonconcussed group showed differences between baseline and 1 week (4.6, 95% CI = 1.08, 8.17, P = .009) and between baseline and 1 month (3.2, 95% CI = -0.05, 6.30, P = .03). No significant differences were present in depressive symptoms between concussed participants and injured/nonconcussed participants at any of the postinjury time points.

CONCLUSIONS

Depression may present as a postinjury sequela in Division I collegiate athletes. Athletes who sustain a concussion or other injury resulting in time lost from practice or competition need to be observed carefully for signs and symptoms that may indicate depression. Tools such as the Center for Epidemiologic Studies Depression Scale can be valuable in helping clinicians to recognize and manage depressive symptoms in these individuals.

The center for epidemiologic studies depression scale: support for a bifactor model with a dominant general factor and a specific factor for positive affect

OBJECTIVES

For the Center for Epidemiologic Studies Depression Scale (CES-D) ratings, the study examined support for a bifactor model, and also the internal consistency reliability and external validity of the factors in this model.

METHOD

Participants (N = 1,178) were older adults from the general community who completed the CES-D.

RESULTS

Confirmatory factor analysis of their ratings indicated support for the bifactor model. For this model, the general factor explained most of the covariance in the scores of the CES-D items for Depressed Affect, Somatic Symptoms and Retarded Activity, and Interpersonal Difficulties items. Most of the covariance in the scores of the Positive Affect (PA) scale was explained by its own specific factor. Additional analyses showed support for internal consistencies and external validities of general factors based on all the CES-D items, and when PA items were excluded, and also the PA-specific factor.

DISCUSSION

The findings support the use of a total CES-D score without the PA items and also the concurrent use of the PA scale score.