Implications of depressive mood in OSAHS patients: insights from event-related potential.

BACKGROUND: Obstructive sleep apnea-hypopnea syndrome (OSAHS) is a chronic breathing disorder characterized by recurrent upper airway obstruction during sleep. Although previous studies have shown a link between OSAHS and depressive mood, the neurobiological mechanisms underlying mood disorders in OSAHS patients remain poorly understood. This study aims to investigate the emotion processing mechanism in OSAHS patients with depressive mood using event-related potentials (ERPs). METHODS: Seventy-four OSAHS patients were divided into the depressive mood and non-depressive mood groups according to their Self-rating Depression Scale (SDS) scores. Patients underwent overnight polysomnography and completed various cognitive and emotional questionnaires. The patients were shown facial images displaying positive, neutral, and negative emotions and tasked to identify the emotion category, while their visual evoked potential was simultaneously recorded. RESULTS: The two groups did not differ significantly in age, BMI, and years of education, but showed significant differences in their slow wave sleep ratio (P = 0.039), ESS (P = 0.006), MMSE (P < 0.001), and MOCA scores (P = 0.043). No significant difference was found in accuracy and response time on emotional face recognition between the two groups. N170 latency in the depressive group was significantly longer than the non-depressive group (P = 0.014 and 0.007) at the bilateral parieto-occipital lobe, while no significant difference in N170 amplitude was found. No significant difference in P300 amplitude or latency between the two groups. Furthermore, N170 amplitude at PO7 was positively correlated with the arousal index and negatively with MOCA scores (both P < 0.01). CONCLUSION: OSAHS patients with depressive mood exhibit increased N170 latency and impaired facial emotion recognition ability. Special attention towards the depressive mood among OSAHS patients is warranted for its implications for patient care.

Vitamin D, testosterone and depression in middle-aged and elderly men: a systematic review.

Depression is one of the common psychiatric disorders during elderly. This systematic review aims to present the relationship between vitamin D deficiency, depression and testosterone serum concentration in the middle-aged and elderly men. We performed a comprehensive search in the Google Scholar, PubMed, ProQuest, Web of Science, Cochrane, Science Direct, and Scopus databases to collect any relevant published studies. The data of the articles that had been investigated the relationship between depression and 25-hydroxy vitamin D (25[OH]D) serum concentration (nine studies), or testosterone and 25[OH]D (six studies), as the primary outcomes, were included in our review. The results of the cohort and cross-sectional studies have shown that vitamin-D deficiency is associated with the incidence of depression in older men. In addition, documents have reported the positive association between vitamin D and testosterone, and previous studies have shown that testosterone can involve in the mood. We have proposed scientific mechanisms that have shown vitamin D may also play a protective role in depression through its effect on the testosterone. Therefore, it is a low risk and safe recommendation for the middle-aged and elderly men to use the vitamin D supplement or exposure to the sunlight to prevent depression.

Preschoolers' emotion reactivity and regulation: Links with maternal psychological distress and child behavior problems.

Maladaptive offspring emotion regulation has been identified as one pathway linking maternal and child psychological well-being in school-aged children. Whether such a pathway is present earlier in life still remains unclear. The present study investigated the role of preschoolers' emotion reactivity and regulation in the association between maternal psychological distress and child internalizing and externalizing problems. Children's emotion reactivity and regulation were assessed through both observed behavior and physiology. At 42 months of age, children (n = 251; 128 girls) completed a fear induction task during which their heart-rate variability was assessed and their behavior was monitored, and maternal self-reports on depressive mood and anxiety were collected. At 48 months mothers and fathers reported on their children's internalizing and externalizing problems. Higher maternal depressive mood was associated with lower child fear-related reactivity and regulation, as indexed by heart-rate variability. The latter mediated the association between higher maternal depressive mood and higher preschoolers' externalizing problems. Overall, our findings support the role of preschoolers' emotion reactivity and regulation in the relationship between maternal psychological distress and children's socio-emotional difficulties. This role may also depend on the discrete emotion to which children react or seek to regulate as, here, we only assessed fear-related reactivity and regulation.

Exploration of related factors of suicide ideation in hospitalized older adults.

BACKGROUND: With the rapid aging of the population structure, and the suicide ideation rate also increasing year by year, the ratio of people over 65 to the total number of deaths is increasing yearly. The study provides a reference for researchers interested in older adults' care to explore SI further affecting older adults in the future and provide a reference for qualitative research methods or interventional measures. OBJECTIVE: The objective of this study is to explore the influence of mental health status, life satisfaction, and depression status on suicidal ideation (SI) among hospitalized older adults. METHODS: In a cross-sectional correlation study, taking inpatients over 65 years old in a regional teaching hospital in eastern Taiwan, and the BSRS-5 ≧ 5 points of the screening cases, a total of 228 older adults agree to conduct data analysis in this study. Mainly explore the influence of personal characteristics, mental health status, life satisfaction, and depressed mood on SI among the hospitalized older adults. The basic attributes of the cases used in the data, mental health status, cognitive function, quality of life, depression, and suicide ideation, the data obtained were statistically analyzed with SPSS 20/Windows, and the descriptive statistics were average, standard deviation, percentage, median, etc. In the part of inference statistics, independent sample t-test, single-factor analysis of variance, Pearson performance difference correlation, and logistic regression analysis were used to detect important predictors of SI. RESULTS: Research results in (1) 89.5% of hospitalized older adults have a tendency to depression. 2.26.3% of the older adults had SI. (2) Here are significant differences in the scores of SI among hospitalized older adults in different economic status groups and marital status groups. (3) The age, marital status, and quality of life of the hospitalized older adults were negatively correlated with SI; economic status, self-conscious health, mental health, and depression were positively correlated with SI. (4) The results of the mental health status and SI is (r = .345, p < .001), higher the score on the BSRS-5 scale, the higher the SI. The correlation between the depression scale score (SDS-SF) and SI was (r = .150, p < .05), the higher the depression scale score, the higher the SI. CONCLUSION: The results of the study found that there was a statistically significant correlation between SI in older adults and age, marital status, economic status, mental health, quality of life, and depression, and also showed that they might interact with each other; the older adults in BSRS-5, GDS-SF, quality of life scale scores have statistically significant differences as essential predictors of SI. The results of this study suggest that medical staff can use the BSRS-5 scale to quickly screen and evaluate the mental health status of older adults, hoping to detect early and provide preventive measures, thereby improving the quality of life of older adults.

The Potential of Chatbots for Emotional Support and Promoting Mental Well-Being in Different Cultures: Mixed Methods Study.

BACKGROUND: Artificial intelligence chatbot research has focused on technical advances in natural language processing and validating the effectiveness of human-machine conversations in specific settings. However, real-world chat data remain proprietary and unexplored despite their growing popularity, and new analyses of chatbot uses and their effects on mitigating negative moods are urgently needed. OBJECTIVE: In this study, we investigated whether and how artificial intelligence chatbots facilitate the expression of user emotions, specifically sadness and depression. We also examined cultural differences in the expression of depressive moods among users in Western and Eastern countries. METHODS: This study used SimSimi, a global open-domain social chatbot, to analyze 152,783 conversation utterances containing the terms "depress" and "sad" in 3 Western countries (Canada, the United Kingdom, and the United States) and 5 Eastern countries (Indonesia, India, Malaysia, the Philippines, and Thailand). Study 1 reports new findings on the cultural differences in how people talk about depression and sadness to chatbots based on Linguistic Inquiry and Word Count and n-gram analyses. In study 2, we classified chat conversations into predefined topics using semisupervised classification techniques to better understand the types of depressive moods prevalent in chats. We then identified the distinguishing features of chat-based depressive discourse data and the disparity between Eastern and Western users. RESULTS: Our data revealed intriguing cultural differences. Chatbot users in Eastern countries indicated stronger emotions about depression than users in Western countries (positive: P<.001; negative: P=.01); for example, Eastern users used more words associated with sadness (P=.01). However, Western users were more likely to share vulnerable topics such as mental health (P<.001), and this group also had a greater tendency to discuss sensitive topics such as swear words (P<.001) and death (P<.001). In addition, when talking to chatbots, people expressed their depressive moods differently than on other platforms. Users were more open to expressing emotional vulnerability related to depressive or sad moods to chatbots (74,045/148,590, 49.83%) than on social media (149/1978, 7.53%). Chatbot conversations tended not to broach topics that require social support from others, such as seeking advice on daily life difficulties, unlike on social media. However, chatbot users acted in anticipation of conversational agents that exhibit active listening skills and foster a safe space where they can openly share emotional states such as sadness or depression. CONCLUSIONS: The findings highlight the potential of chatbot-assisted mental health support, emphasizing the importance of continued technical and policy-wise efforts to improve chatbot interactions for those in need of emotional assistance. Our data indicate the possibility of chatbots providing helpful information about depressive moods, especially for users who have difficulty communicating emotions to other humans.

Towards Personalised Mood Prediction and Explanation for Depression from Biophysical Data.

Digital health applications using Artificial Intelligence (AI) are a promising opportunity to address the widening gap between available resources and mental health needs globally. Increasingly, passively acquired data from wearables are augmented with carefully selected active data from depressed individuals to develop Machine Learning (ML) models of depression based on mood scores. However, most ML models are black box in nature, and hence the outputs are not explainable. Depression is also multimodal, and the reasons for depression may vary significantly between individuals. Explainable and personalised models will thus be beneficial to clinicians to determine the main features that lead to a decline in the mood state of a depressed individual, thus enabling suitable personalised therapy. This is currently lacking. Therefore, this study presents a methodology for developing personalised and accurate Deep Learning (DL)-based predictive mood models for depression, along with novel methods for identifying the key facets that lead to the exacerbation of depressive symptoms. We illustrate our approach by using an existing multimodal dataset containing longitudinal Ecological Momentary Assessments of depression, lifestyle data from wearables and neurocognitive assessments for 14 mild to moderately depressed participants over one month. We develop classification- and regression-based DL models to predict participants' current mood scores-a discrete score given to a participant based on the severity of their depressive symptoms. The models are trained inside eight different evolutionary-algorithm-based optimisation schemes that optimise the model parameters for a maximum predictive performance. A five-fold cross-validation scheme is used to verify the DL model's predictive performance against 10 classical ML-based models, with a model error as low as 6% for some participants. We use the best model from the optimisation process to extract indicators, using SHAP, ALE and Anchors from explainable AI literature to explain why certain predictions are made and how they affect mood. These feature insights can assist health professionals in incorporating personalised interventions into a depressed individual's treatment regimen.

Early identification of depressive symptoms in school-aged children: Psychometric properties and validation of a new short version of Short Mood & Feelings Questionnaire.

BACKGROUND: Depressive mood is a common problem among children in Western countries. Professionals in school and other health services have an important role in identifying children at increased risk for depression. The Short Mood and Feelings Questionnaire (SMFQ) is a widely used screening tool, but its 13 items still make it quite time-consuming to complete. There is an urgent need for a quick and easy-to-complete self-report depressive mood scale for use in school health examinations. AIM: This paper aims to describe and validate a revised version of SMFQ: FsMFQ-6 is intended as a short screening tool for the early identification of depressive symptoms in children. METHODS: Nationally representative data (n = 95,725) were drawn from the 2017 School Health Promotion Study. The respondents were fourth- and fifth-grade pupils (aged 10-12) in Finnish primary schools. The data were analysed separately by gender. The construct validity of the scale was studied by principal component analysis and confirmatory factor analysis (CFA), convergent validity by both receiver operating characteristic (ROC) analysis and Spearman's correlation coefficient. Reliability was tested by Cronbach's alpha coefficient. RESULTS: Principal component analysis yielded a one-component model: the Finnish Short Mood and Feelings Questionnaire 6 (FsMFQ-6). CFA confirmed the validity of FsMFQ-6. Compared with mood at home (AUC = 0.80) and mood at school (AUC = 0.85), overall sensitivity and specificity were optimal at cut-off point 0. Cronbach's alpha coefficient was 0.73, indicating good internal consistency. The results for girls and boys were almost identical. CONCLUSION: The results confirmed the validity and reliability of FsMFQ-6. FsMFQ-6 recognises depressive mood in children and is suitable for screening depressive symptoms in fourth- and fifth-grade pupils in Finland. However, it is important to pay close attention to children who choose the 'Sometimes' response option more than once, for that can be a sign of depressive symptoms.

The effects of social comparison and depressive mood on adolescent social decision-making.

BACKGROUND: Based on social comparison theory, two experiments were conducted to explore the effects of depression and social comparison on adolescents, using the ultimatum game (UG). METHODS: Before the formal experiment began, a preliminary experiment tested the effectiveness of social comparison settings. This study used the UG paradigm to explore adolescents' social decision-making in the context of gain and loss through two experiments. These experiments were designed as a 2 (group: depressive mood group, normal mood group) × 2 (social comparison: upward, downward) × 3 (fairness level: fair 5:5, unfair 3:7, extremely unfair 1:9) three-factor hybrid study. RESULTS: (1) The fairer the proposal was, the higher the sense of fairness participants felt, and the higher their acceptance rate. (2) The acceptance rate of the participants for downward social comparison was significantly higher than that for upward social comparison, but there was no difference in fairness perception between the two social comparisons. (3) Under the context of gain, the acceptance rate of the depressive mood group was higher than that of the normal mood group, but there was no difference in the acceptance rate between the depressive mood group and the normal mood group under the loss context. Depressive mood participants had more feelings of unfairness in the contexts of both gain and loss. (4) The effects of depressive mood, social comparison and the fairness level of distribution on social decision-making interact. CONCLUSIONS: The interaction of social comparison, depressive mood and proposal type demonstrates that besides one's emotion, cognitive biases and social factors can also have an effect on social decision-making. These findings indicate that behavioral decision boosting may provide an avenue for appropriate interventions in helping to guide adolescents to make social decisions.

Association between household debt and depressive mood among Chinese residents.

OBJECTIVES: The aim of this study was to examine the association of household debt and depressive mood among Chinese adults and to evaluate whether the association varies across types of debt. STUDY DESIGN: This is a secondary data analysis of a nationally representative survey. METHODS: A prospective cohort study of participants was drawn from the China Family Panel Studies (CFPS). In total, 5135 participants had their depressive mood measured in the CFPS starting from 2014 to 2016 and had participated in the biennial survey. We used logistic regression models to identify predictors of depressive mood with debts, sociodemographic factors, health status factors and health behaviors factors. Adjusted for all measured covariates, we conducted an independent analysis for the experience of housing loans from formal institutions (HLFI), other loans from formal institutions (OLFI), housing loans from relatives and friends (HLRF) and other loans from relatives and friends (OLRF). RESULTS: Multiple logistic regression analyses revealed that household debt was a significant risk factor for depressive mood (1.35; 95% confidence interval [CI], 1.19-1.54), after controlling for potential confounders. Independent analysis revealed that HLFI was not a significant predictor, while HLRF (1.26; 95% CI, 1.08-1.48), OLFI (1.45; 95% CI, 1.13-1.87) and OLRF (1.23; 95% CI, 1.02-1.47) remained significant risk factors. CONCLUSION: OLFI, HLRF and OLRF were associated with depressive mood, while HLFI was not. To address the problem of individual depressive mood, its apparent association with household debt should be paid more attention.

Association between sources of stress and depressive mood in Korean adults.

OBJECTIVE: The present study investigated the association between different sources of stress and depressive mood in Korean adults. METHODS: A total of 4464 adults who completed the 2018 Korean National Health and Nutrition Examination Survey were included in the analysis. Data included sources of stress, depressive mood assessed by the nine-item Patient Health Questionnaire, sociodemographic characteristics, and health-related habits. Multiple logistic regression models were applied to calculate the odds ratio for depressive mood according to each source of stress and stratified by sex and age. RESULTS: Fully adjusted models revealed that individuals who reported a financial problem or health concern as their main source of stress were more likely to experience depressive mood; when data were stratified by sex, these associations remained significant among females only. An age-stratified analysis indicated that financial problems were associated with depressive mood in middle-aged individuals and health concerns were associated with depressive mood in elderly. CONCLUSION: Korean adults with specific sources of stress should be monitored for the development of emotional distress.

Improving emotion regulation of social exclusion in depression-prone individuals: a tDCS study targeting right VLPFC.

BACKGROUND: Growing evidence has indicated that right ventrolateral prefrontal cortex (RVLPFC) is critical in down-regulating emotional responses to social exclusion, and that depression is accompanied by social emotional dysregulation associated with reduced lateral prefrontal engagement. This study used anodal transcranial direct current stimulation (tDCS) to examine whether stimulating RVLPFC could improve emotional down-regulation of social exclusion in individuals with high depressive mood (DM). METHODS: A total of 96 high and 94 low DM individuals received active or sham tDCS while viewing social exclusion or individual negative pictures under no-reappraisal (passive viewing) and reappraisal conditions. Participants rate their negative emotional experience following the presentation of each image. Pupil diameter and visual fixation duration were also recorded during the task. RESULTS: It was found that tDCS-activated RVLPFC induced a stronger regulation effect on social exclusion than individual negative emotions. The effect of tDCS on regulation of social exclusion was more pronounced in low v. high DM individuals. CONCLUSIONS: These findings demonstrate the specific role of RVLPFC on social emotion regulation, which has implications for refining target areas for the treatment of social emotion dysregulation in depression. However the findings do not suggest that high DM individuals benefit from a single-tDCS session on the emotion regulation of social exclusion. Thus we suggest to use multiple tDCS sessions or transcranial magnetic stimulation to further explore the therapeutic proposal in the future.

Short report: depressive mood moderates the association between family communication and self-rated health in married couples.

Self-rated health, a valid measure of general health, is influenced by family dynamics and depression. In this study, using data from the Family Cohort Study in Primary Care, we investigated whether depressive mood moderated the association between family communication and self-rated health in married couples. Among the 520 couples in the cohort, we cross-sectionally analyzed the responses of 420 couples (840 participants) who provided answers to the Center for Epidemiologic Studies Depression Scale, the Family Communication Scale of the Family Adaptation and Cohesion Evaluation Scale-IV, and a self-rated health question. Hierarchical regression analyses were performed to evaluate the interactions between depressive mood and family communication on self-rated health. High levels of family communication were associated with better self-rated health (r = -.16, p < .01), and that depressive mood moderated the association between family communication and self-rated health (ß = .10, p = .008). Specifically, the association between family communication and self-rated health was significant only when levels of depressive mood were low (ß = -.175, p = < .001), and the association was lost when levels of depressive mood were high (ß = -.031, p = .446). High levels of depressive mood weakened the positive association between family communication and self-rated health. Our findings highlight the significant influence of depressive symptoms on family dynamics and health among patients in primary care.

The association between depressive mood and ischemic heart disease: a twin study.

OBJECTIVE: Individuals with mood disorders have increased risk of cardiovascular disease. The aims of this study were to evaluate if the risk of cardiovascular disease in individuals with mood disorder could be explained by shared genetic and early environmental factors. METHODS: We included 6714 Danish middle and old aged twins from two large population-based studies. Cox proportional hazards regression was used to perform individual-level and intra-pair analyses of the association between self-reported depression symptomatology scores and register-based diagnoses of ischemic heart disease. RESULTS: Higher depression symptomatology scores (both total, affective, and somatic) were associated with higher incidence of ischemic heart disease after multivariable adjustment in individual-level analyses. In intra-pair analyses, this association was similar but with slightly larger confidence intervals. There was no interaction with gender and no major differences between mono- or dizygotic twins. Within twin pairs, the twin scoring highest on depressive symptoms developed ischemic heart disease more often or earlier than the lower scoring twin. A sensitivity analysis including a 2-year time lag of depression symptomatology to limit the risk of reverse causality showed similar results. CONCLUSION: Genetic factors and early life environment do not seem to explain the association between depressive mood and ischemic heart disease.

Apathy and right caudate perfusion in idiopathic normal pressure hydrocephalus: A case-control study.

OBJECTIVES: Apathy is prevalent in patients with idiopathic normal pressure hydrocephalus (iNPH), a treatable disorder resulting from ventricular enlargement. We assessed the relationship between apathy and regional cerebral blood flow (rCBF) in patients with iNPH. METHODS: Before lumbo-peritoneal shunt surgery (LPS), 56 iNPH patients were evaluated on apathy and dysphoria subscales of the Neuropsychiatric inventory (NPI), and were divided into two groups according to NPI apathy score: 15 without apathy (iNPH-APA) and 41 with apathy (iNPH+APA). Among iNPH+APA, 29 patients were evaluated for apathy and dysphoria 3 months after LPS, and were divided into two groups on the basis of the change in NPI apathy score: 13 with improvement (iNPH+ImpAPA) and 16 without improvement in apathy (iNPH-ImpAPA). N-isopropyl-p-iodoamphetamine single photon emission computed tomography using the autoradiography method was performed before and after LPS, and rCBF was calculated in 22 regions of interest in the frontal cortex, basal ganglia, and limbic system. RESULTS: In iNPH+APA, rCBF in the right caudate nuclei before LPS was significantly lower than that in iNPH-APA (P = 0.004; two-sample t test). Between iNPH-ImpAPA and iNPH+ImpAPA, a significant group-by-shunt interaction was observed for rCBF in only the right caudate nuclei (F1, 28  = 11.75, P = 0.002; two-way repeated-measures analysis of variance), with increased rCBF in iNPH+ImpAPA but not in iNPH-ImpAPA. The significant group-by-shunt interaction persisted if change in NPI dysphoria scores was used as a covariate (F1, 27  = 8.33, P = 0.008). CONCLUSIONS: Our findings suggest that right caudate dysfunction might cause apathy in iNPH patients.

Demographic, psychological and relationship factors are associated with resource loss among pregnant women.

Objectives: This study analysed the association between demographic, psychological and relationship factors and resource loss in pregnant women. Methods: Quantitative descriptive correlational study. Depressive mood, social support, relationship intimacy and resource loss were assessed in a sample of 200 pregnant women recruited from public primary-care clinics. Results: Hierarchical regression showed that being younger, having lower yearly income, and having stronger depressive mood, little relationship intimacy and little satisfaction with social support were the main factors associated with resource loss. Depressive mood accounted for most resource loss after controlling for demographic risk factors. The models show the combined influence of demographic, psychological and relationship factors in shaping resource loss. Conclusions and implications: Depressive mood was a major risk factor for resource loss among pregnant women, whereas social support and relationship intimacy had a protective role. The results highlight the importance of screening for depressive mood and level of resources during routine prenatal care, in order to identify pregnant women at risk of depression. The findings point to interventions that foster patient's emotions to help them protect resources.

Subjective insomnia symptoms and sleep duration are not related to hypothalamic-pituitary-adrenal axis activity in older adults.

Insomnia symptoms are highly prevalent in depressed older adults. This study investigates the association between hypothalamic-pituitary-adrenal (HPA) axis activity and symptoms of insomnia, respectively, sleep duration among 294 depressed and 123 non-depressed older adults of the Netherlands Study of Depression in Older people (NESDO) study. Insomnia symptoms were defined as clinically relevant when having a score ≥ 10 points on the Women's Health Initiative Insomnia Rating Scale (WHIIRS). Sleep duration was categorized in short (≤ 6 h per night), normal (7-8 h per night) and long (≥ 9 h per night) duration. Salivary cortisol levels were used to assess the following cortisol parameters for HPA axis activity: area under the curve with respect to the increase (AUCi) and to the ground (AUCg), diurnal slope, evening cortisol level and dexamethasone suppression ratio. Clinically relevant insomnia symptoms were present in 46% of the participants. Thirty-two per cent of the participants were short sleepers, whereas 16% were long sleepers. However, univariate analyses showed no differences in any of the HPA axis parameters between people with and without insomnia symptoms or between the three groups with different sleep duration. In addition, no significant interaction was found between a diagnosis of depression or the severity of depressive symptoms and any of the cortisol parameters in relation to insomnia symptoms or sleep duration.

Psychosocial factors affecting resilience in Nepalese individuals with earthquake-related spinal cord injury: a cross-sectional study.

BACKGROUND: One of many types of injuries following an earthquake is spinal cord injury (SCI) which is a life-long medically complex injury and high-cost health problem. Despite several negative consequences, some persons with SCI are resilient enough to achieve positive adjustment, greater acceptance, and better quality of life. Since resilience is influenced by several factors and can vary by context, it is beneficial to explore factors that affect the resilience of people who sustained spinal cord injury from the 2015 earthquake in Nepal. METHODS: A descriptive cross-sectional study included 82 participants from the Spinal Injury Rehabilitation Center and communities in Nepal. Participants completed the Demographic and Injury-related Questionnaire, Connor-Davidson Resilience Scale, Multidimensional Scale of Perceived Social Support, Moorong Self-efficacy Scale, Intrinsic Spirituality Scale, and Patient Health Questionnaire-9. Pearson's correlation and point biserial correlation analyses were performed to examine associations between resilience and independent variables. A hierarchical regression analysis was used to identify the influence of certain factors. RESULTS: Findings indicated significant associations between resilience and social support (r = 0.42, p < 0.001), self-efficacy (r = 0.53, p < 0.001), depressive mood (r = - 0.50, p < 0.001) and demographic variables which included sex (r = 0.47, p < 0.001), employment (r = 0.27, p = 0.016), and current living location (r = 0.24, p = 0.029). There was a non-significant association between resilience and spirituality (r = - 0.12, p > 0.05). In hierarchical regression analysis, an overall regression model explained 46% of the variance in resilience. Self-efficacy (ß = 0.28, p = 0.007) and depressive mood (ß = - 0.24, p = 0.016) significantly determined resilience after controlling the effect of demographic variables. Among the demographic factors, being male significantly explained the variance in resilience (ß = 0.31, p = 0.001). CONCLUSIONS: Multiple psychosocial and demographic factors were associated with resilience in people who sustained an earthquake-related SCI. Mental health professionals should demonstrate concern and consider such factors in allocating care in this group. Development of intervention research concerning resilience is recommended to strengthen resilience in order to improve rehabilitation outcomes and enhance reintegration of individuals with SCI into their communities.

Associations of mental health and sleep duration with menstrual cycle irregularity: a population-based study.

This study aimed to examine whether the characteristics of mental health and sleep duration, alone or in combination, are associated with menstrual cycle irregularity. This population-based, cross-sectional study analyzed the data from 4445 women aged 19-49 years, who participated in the Korea National Health and Nutrition Examination Survey 2010-2012. A structured questionnaire was used to assess mental health characteristics, sleep duration, and menstrual cycle irregularity. A multivariable logistic regression analysis was performed. High stress, depressive mood, and suicidal ideation were associated with increased risk of menstrual cycle irregularity after adjusting for confounding variables (odds ratio [95% confidence interval] = 1.33 [1.07-1.65], 1.56 [1.17-2.07], and 1.37 [1.01-1.87], respectively). Short sleep duration (≤ 5 h a day) was significantly associated with higher odds of severe menstrual cycle irregularity with menstrual interval of greater than 3 months (2.67 [1.35-5.27]). Participants with sleep duration of ≤ 5 h a day with psychological stress, depressive mood, or suicidal ideation had higher odds of menstrual cycle irregularity (1.96 [1.26-3.05], 2.86 [1.50-5.44], and 2.25 [1.18-4.29]). This study suggests positive associations of mental health problems and short sleep duration with menstrual cycle irregularity among Korean female adults. Therefore, strategies to deal with psychological stress, depressive mood, and sleep duration are needed for improving the reproductive health of women suffering from menstrual disturbances.

Self-perceived ability to cope with stress and depressive mood without smoking predicts successful smoking cessation 12 months later in a quitline setting: a secondary analysis of a randomized trial.

BACKGROUND: Telephone-based smoking cessation services ('quitlines') are both effective and cost-effective. Knowledge of modifiable baseline factors in real-life settings with heterogeneous participants is essential for the development and improvement of treatment protocols to assist in telephone-based smoking cessation. The aim was to assess if self-perceived abilities to cope measured at baseline, would predict abstinence at the 12-month follow-up at the Swedish National Tobacco Quitline (SNTQ). METHODS: The data were retrieved from a previous randomized controlled trial comparing the effectiveness of proactive and reactive service at the SNTQ. Included were 612 clients calling the SNTQ between February 2009 and September 2010. Outcome measures were self-reported point prevalence and 6-month continuous abstinence at the 12-month follow-up. Plausible predictors of smoking cessation were assessed at the first call and in a baseline questionnaire. Self-perceived abilities at baseline were measured by two questions: (1) How likely is it that you will be smoke-free in one year? and (2) How likely are you to be able to handle stress and depressive mood without smoking? The associations between potential predictors and outcome (smoke-free at 12-month follow-up) were assessed by logistic regression analysis. RESULTS: Of the two potential predictors for abstinence at 12-month follow-up, only the perceived ability to handle stress and depressive mood without smoking remained significant in the adjusted analyses (Odds Ratio, OR 1.13, 95% CI 1.00-1.27 for point prevalence and OR 1.16, 95% CI 1.01-1.33 for 6-month continuous abstinence according to intention-to-treat). The overall strongest predictor in the adjusted analyses was smoking status in the week before baseline (OR 3.30, 95% CI 1.79-6.09 for point prevalence and OR 3.97, 95% CI 2.01-7.83 for 6-month continuous abstinence). CONCLUSIONS: The perceived ability to handle stress and depressive mood without smoking at baseline predicted the subjects' abstinence at the 12-month follow-up. An assessment of/adjustment for stress and depressive mood coping skills may be appropriate in future smoking cessation treatment and research. The treatment protocol can be tailored to individual differences and needs for optimal support. TRIAL REGISTRATION: ClinicalTrials.gov: NCT02085616 . Registered March 10, 2014, 'retrospectively registered'.

Altered amygdala-related structural covariance and resting-state functional connectivity in end-stage renal disease patients.

Depression and cognitive control deficits were frequently reported in concurrent end-stage renal disease (ESRD) patients. Neuroimaging studies indicated depression could be a risk factor for cognitive control deficits, and amygdala-related circuitry may play a critical role in this abnormal interaction. To investigate the potential relationship between depressive symptoms and cognitive control reduction in ESRD patients, T1-weighted and resting fMRI images were obtained in 29 ESRD patients and 29 healthy controls. Voxel-based morphometry (VBM), structural covariance (SC) analysis based on grey matter volume (GMV), and functional connectivity (FC) analysis were adopted. All subjects performed the Beck Depression Inventory (BDI) assessment and Stroop test. The patients also underwent blood biochemistry tests (urea, creatinine, phosphate, Ca2+, hematocrit, cystatin, hemoglobin). Compared with controls, GMV reductions were found mainly in the anterior cingulate cortex (ACC) and bilateral amygdala, and decreased SC was found between the amygdala and ACC in ESRD patients. This indicated that structural changes in the amygdala may be related to the GMV alterations in the ACC. Additionally, decreased FC between the amygdala and ACC was revealed in ESRD patients. Negative correlation was found between the FC of the amygdala-ACC and reaction delay during the Stroop test, but this correlation disappeared after controlling BDI. Stepwise regression analysis showed that the low level of hemoglobin was contributed to the reduced FC of the amygdala-ACC in ESRD patients. Our results demonstrated the abnormal interaction between depressive mood and cognitive control deficits in ESRD patients.