Life events, depression and supportive relationships affect academic achievement in university students

Students often simultaneously deal with shifting support networks, stressful life changes and psychological distress which may affect academic achievement. Methods: 285 students completed the General Health Questionnaire (GHQ-12) to assess depression and the Computerized Life Events Assessment Record (CLEAR), to establish life events and supportive relationships. Module grades were used to measure academic achievement. A general linear model was used with student grade as the dependent variable and life events, depression and supportive relationships as independent variables. Confounding variables included age and sex. Results: A three-way interaction between life events, depression and lack of supportive relationships was found. It indicated the performance of depressed students depended on whether they had supportive relationships and that this interaction also depended on whether they had experienced a life event in the past year. Conclusions: Universities need to provide more support to students with life stress as they transition into university life

The moderation effect of secure attachment on the relationship between positive events and wellbeing

Positive events can reduce depression as well as enhance wellbeing. The role of secure attachment style in moderating the relationship between positive events and wellbeing is examined to further understand wellbeing models. Participants (n = 490) included two midlife groups and a student group from the UK. They completed the online Computerised Life Event Assessment Record (CLEAR), a measure of life events, the Vulnerable Attachment Style Questionnaire (VASQ) and the Warwick Emotional Wellbeing Scale (WEMWBS). Age was associated with higher rates of wellbeing and secure attachment style. A significant relationship was found between number of positive events and wellbeing, number of people close, and secure attachment score. Hierarchical multiple regression indicated a significant interaction between secure attachment style, number of positive life events and wellbeing. Simple slopes analysis demonstrated the association between positive life events and wellbeing was significant for secure attachment (B = 1.27, p = .003) but not insecure attachment (B = .04, n.s.). This suggests securely attached individuals are better able to take advantage of positive life events than insecurely attached individuals and experience a greater increase in wellbeing

Early neurophysiological stimulus processing during a performance-monitoring task differentiates women with bipolar disorder from women with ADHD

Adults with attention-deficit/hyperactivity disorder (ADHD) or bipolar disorder (BD) may display similar cognitive impairments and clinical symptoms, which might reflect shared mechanisms. Initial evidence indicates disorder-specific and overlapping neurophysiological alterations using event-related potentials (ERPs) in individuals with BD or ADHD during attentional tasks, but it is unknown whether impairments generalize across other processes and tasks. We conduct the first comparison between women with ADHD (n = 20), women with BD (n = 20) and control women (n = 20) on ERPs from a performance-monitoring flanker task. The BD group showed a significantly attenuated frontal ERP of conflict monitoring (N2) compared to the ADHD group across both low-conflict (congruent) and high-conflict (incongruent) task conditions, and compared to controls in the high-conflict condition. However, when controlling for an earlier attentional ERP (frontal N1), which was significantly reduced in participants with BD compared to participants with ADHD and controls, N2 group differences were no longer significant. These results indicate that ERP differences in conflict monitoring may be attributable to differences in earlier attentional processes. These findings identify neural differences in early attention between BD and ADHD which precede conflict monitoring processes, potentially pointing to distinct neural mechanisms implicated in the two disorders

Image Co-localization by Mimicking a Good Detector's Confidence Score Distribution

Given a set of images containing objects from the same category, the task of image co-localization is to identify and localize each instance. This paper shows that this problem can be solved by a simple but intriguing idea, that is, a common object detector can be learnt by making its detection confidence scores distributed like those of a strongly supervised detector. More specifically, we observe that given a set of object proposals extracted from an image that contains the object of interest, an accurate strongly supervised object detector should give high scores to only a small minority of proposals, and low scores to most of them. Thus, we devise an entropy-based objective function to enforce the above property when learning the common object detector. Once the detector is learnt, we resort to a segmentation approach to refine the localization. We show that despite its simplicity, our approach outperforms state-of-the-art methods.Comment: Accepted to Proc. European Conf. Computer Vision 201

Herbaceous Tropical Legume Integration into Small-Holder Crop-Livestock Systems in Eastern Indonesia: Results of 10-Years of Multi-Disciplinary Systems Research

Integration a forage legume into crop-livestock systems of Eastern Indonesia was tested to establish the capacity to improve nitrogen supply and yields of staple cereal crops (maize and rice) and allow for intensification of beef production to ultimately increase farm income and alleviate rural poverty in the region. Species evaluation sites across a diversity of environments showed Clitoria ternatea (butterfly pea) to be the most resilient and adaptable forage legume for use in association with cropping systems. Crop rotation experiments demonstrated that legumes grown in rotation with maize or rice can increase grain yields by 50% where legume was cut and removed, and by 90% where legume biomass was retained – the legume providing the equivalent of 100-150 kg of urea fertiliser. Forage establishment and cutting management were shown to be critical to maximising legume productivity but labour inputs required are important constraints. Lower-labour options can be used effectively without dramatically compromising productivity. Providing legumes as supplements to cattle have been shown to have significant benefits for livestock productivity in various production systems; preventing liveweight losses of reproductive cows during the dry season, doubling calf growth rates and halving calf mortality, and increasing growth rates of growing cattle by 0.3-0.5 kg LW/d. Whole-farm bioeconomic modelling and participatory on-farm evaluation has found that livestock-oriented farmers with available land resources will benefit most from forage legumes with potential increases of farm income of up to 30%. Local seed production is critical for ongoing use of herbaceous forage legumes, and our research has refined locally relevant recommendations for agronomy for seed production methods and processing. Our research has confirmed that herbaceous forage legumes can be integrated into cropping systems to improve crop yields, livestock production and livelihoods of small-holder farmers in East Nusa Tenggara, Indonesia

Characteristics of severe life events, attachment style, and depression – Using a new online approach

Objectives Severe life events are established as provoking agents for depression in combination with vulnerability factors. Identifying features of severe events improves the prediction of disorder but are rarely utilized, mainly because life event research is increasingly dominated by self‐report checklists with no capacity for inferring such characteristics. This paper investigates the association of severe life events’ features with depression and insecure attachment styles using a new online measure of life events in a clinical and control sample. Methods A total of 202 participants (75 clinical and 127 matched control participants), taken from an earlier national Depression Case Control genetic study and followed up after 12 years, completed the Computerised Life Events Assessment Record to assess characteristics of life events, the Vulnerable Attachment Style Questionnaire to measure attachment insecurity, and the General Health Questionnaire to measure depression. Results The clinical group had higher self‐reported depression, severe life events, and insecure attachment style. They also reported more loss, danger, humiliation, and trauma severe events. Intra‐respondent analysis showed individuals experiencing these types of events were more likely to report depression. Insecure attachment style and severe life events were both significantly related to recent depression and history of depressive disorder. Anxious attachment style was significantly related to relationship events and bereavements, as well as severe loss or humiliation events, whereas avoidant style was not. Conclusions Identifying salient features of severe life events improves associations with depression and insecure attachment style. Utilizing a new online approach can aid research and clinical approaches for depression at low cost. Practitioner points Salient features of severe life events (e.g., loss, humiliation) give insight into the potential impact on attachment vulnerability and depression. Clinicians and researchers can use online methods to economically gain detailed life event information needed for clinical formulation and valid data on stressors. The self‐reported scale for recent depression is only a proxy measure of clinical disorder, but the clinical group selection is a more robust criterion for depression history

Web-based measure of life events using computerized life events and assessment record (CLEAR): preliminary cross-sectional study of reliability, validity, and association with depression

Background: Given the criticisms of life event checklists and the costs associated with interviews, life event research requires a sophisticated but easy-to-use measure for research and clinical practice. Therefore, the Computerised Life Events and Assessment Record (CLEAR), based on the Life Events and Difficulties Schedule (LEDS), was developed. Objectives: To test CLEAR’s reliability, validity, and association with depression. Methods: CLEAR, the General Health Questionnaire, and the List of Threatening Experiences Questionnaire (LTE-Q) were completed by 328 participants (126 students; 202 matched midlife sample: 127 unaffected controls, 75 recurrent depression cases). Test-retest reliability over 3-4 weeks was examined, and validity determined by comparing CLEAR with LEDS and LTE-Q. Both CLEAR and LTE-Q were examined in relation to depression. Results: CLEAR demonstrated good test-retest reliability for overall number of life events (.89) and severe life events (.60). Long-term problems showed similar findings. In terms of validity, CLEAR severe life events had moderate sensitivity (59.1%) and specificity (65.4%) when compared to LEDS. CLEAR demonstrated moderate sensitivity (43.1%) and specificity (78.6%) when compared to LTE-Q. CLEAR severe life events and long term problems were significantly associated with depression (OR = 3.50, 95% CI: 2.10-5.85, P < .001; OR = 3.38, 95% CI: 2.02-5.67, P < .001, respectively) whereas LTE-Q events were not (OR=1.06, 95% CI: .43-2.60, P =.90). Conclusions: CLEAR has acceptable reliability and validity and predicts depression. It therefore has great potential for effective use in research and clinical practice identifying stress-related factors for the onset and maintenance of depression and related disorders

Understanding psychosis complexity through a syndemic framework: A systematic review.

Psychotic conditions pose significant challenges due to their complex aetiology and impact on individuals and communities. Syndemic theory offers a promising framework to understand the interconnectedness of various health and social problems in the context of psychosis. This systematic review aims to examine existing literature on testing whether psychosis is better understood as a component of a syndemic. We conducted a systematic search of 7 databases, resulting in the inclusion of five original articles. Findings from these studies indicate a syndemic characterized by the coexistence of various health and social conditions, are associated with a greater risk of psychosis, adverse health outcomes, and disparities, especially among ethnic minorities and deprived populations. This review underscores the compelling need for a new paradigm and datasets that can investigate how psychosis emerges in the context of a syndemic, ultimately guiding more effective preventive and care interventions as well as policies to improve the health of marginalised communities living in precarity