Clinically elevated depression scores do not produce negative attentional biases in caregivers of autistic children.

Objective: Depression scores in caregivers of autistic children often fall in the clinical range. The attention of clinically depressed individuals tends to be biased toward negatively toned information. Whether caring for an autistic child might also be characterized by a negative attentional bias was explored here. Methods: A sample of N = 98 (57 caregivers and 41 controls) completed questionnaires assessing depressive symptoms. Orienting attention to (i.e., vigilance), and shifting attention away from (i.e., disengagement), negative information was assessed via an online version of the emotional face dot probe task. Results: Mean depression scores in caregivers, falling in the borderline clinical range, were significantly higher compared with controls. Groups, however, were indistinguishable with respect to vigilance and disengagement, and these attentional indices were unrelated to depression scores. Conclusion: Caring for an autistic child, while associated with borderline clinical depression scores, was not characterized by a negative attentional bias. Findings are discussed in the context of methodological shortcomings and recommendations for future research.

Social support mediates the relationship between dispositional gratitude and psychological distress in caregivers of autistic children.

Grateful caregivers report lower levels of psychological distress. Social support, engendered by gratitude and buffering against stress, might mediate this effect. Here we explored whether the protective psychological effect of dispositional gratitude might be mediated by increased social support. A sample of 126 caregivers of autistic children completed questionnaires assessing dispositional gratitude, social support and psychological distress. Gratitude inversely predicted psychological distress, as did social support after adjusting for gratitude. Gratitude positively predicted social support. Gratitude no longer predicted psychological distress after adjusting for social support. Indirect effects analysis revealed the gratitude-distress relationship occurred indirectly via social support. Grateful caregivers reported higher levels of social support, and this predicted lower psychological distress. Gratitude, relatively stable as a disposition, has a state component that is sensitive to change, and healthcare professionals might do well to recommend gratitude enhancing interventions for caregivers of autistic children.

Seeing it my way: A perspective taking intervention alleviates psychological distress in caregivers of autistic children.

Cognitively empathic caregivers are able to take the perspective of their autistic child(ren) without experiencing vicarious distressing emotions, and typically report lower psychological distress. Taking the perspective of the autistic child might, through fostering cognitive empathy, might relieve caregivers' psychological distress. Here we explored whether autism perspective taking videos developed by the National Autistic Society (NAS), intended to raise public awareness about autism, might be effective, packaged as an intervention, for increasing caregivers' cognitive empathy and reducing their psychological distress. A sample of 24 caregivers of autistic children completed questionnaires capturing psychological distress and cognitive empathy at baseline. For three consecutive days, for two-three minutes per day, caregivers watched perspective taking videos. Follow up assessments were collected 7, 14, and 21 days post intervention. Psychological distress was lower after seven days, and stayed lower 14 and 21 days post intervention compared with baseline. Cognitive empathy was higher after 14 days, and remained higher 21 days post intervention compared with baseline. Taking the perspective of the autistic child, achieved here with publically available NAS videos, seems to be effective for increasing caregivers' cognitive empathy and reducing their psychological distress for up to three weeks. Future research might use more rigorous methodologies, incorporating control groups and larger samples, to explore moderators of intervention efficacy.

Sleep disturbances and physical health problems in caregivers of children with ASD.

OBJECTIVES: Caregivers of children with autism spectrum disorder self-report more physical health problems than controls. Sleep disturbances are also more prevalent in caregivers, and are positively associated with physical health problems. The negative impact of caring for a child with ASD on physical health therefore, might occur indirectly via poorer sleep. METHODS: Participants, of which n = 43 were caregivers and n = 17 were controls, completed self-report measures of physical health problems and, to capture objective measures of sleep, wore an actigraphy device. RESULTS: Physical health problems were greater in caregivers, as were subjective reports of disturbed sleep. Objectively, waking after sleep onset (WASO) and average number of awakenings were higher, as was sleep latency, and sleep efficiency was poorer, in caregivers. Total sleep time however, was greater in caregivers, as was time in bed. Physical health problems, while unrelated to actigraphy measures, were positively associated with self-reported sleep disturbances. Caregivers' increased risk for physical health problems occurred indirectly via greater self-reports of disturbed sleep. CONCLUSIONS: Interventions that help alleviate caregivers' sleep disturbances might be effective, by reducing physical health problems, for improving quality of provided care, and this might be explored in future research.

Exploring the Moderating Role of Benefit Finding on the Relationship Between Child Problematic Behaviours and Psychological Distress in Caregivers of Children with ASD.

Caregivers of children with ASD often find benefits associated with their caregiving role, and benefit finding predicts lower distress. Child problematic behaviours (CPB), which positively predict caregivers' distress, are perceived to be being less problematic, or more manageable, by caregivers who find benefits. Benefit finding therefore might mitigate the negative psychological impact of CPB. A sample of n = 158 caregivers of children with ASD completed an online survey assessing benefit finding, CPB, and psychological distress. CPB positively, and benefit finding negatively, predicted caregivers' distress. Moderation effects however were not observed. Findings implicate increased CPB and lower benefit finding as risk factors for caregivers' psychological distress. Findings provide clearly definable targets for intervention.

Exploring Inter-Instance Relationships within the Query Set for Robust Image Set Matching.

Image set matching (ISM) has attracted increasing attention in the field of computer vision and pattern recognition. Some studies attempt to model query and gallery sets under a joint or collaborative representation framework, achieving impressive performance. However, existing models consider only the competition and collaboration among gallery sets, neglecting the inter-instance relationships within the query set which are also regarded as one important clue for ISM. In this paper, inter-instance relationships within the query set are explored for robust image set matching. Specifically, we propose to represent the query set instances jointly via a combined dictionary learned from the gallery sets. To explore the commonality and variations within the query set simultaneously to benefit the matching, both low rank and class-level sparsity constraints are imposed on the representation coefficients. Then, to deal with nonlinear data in real scenarios, the'kernelized version is also proposed. Moreover, to tackle the gross corruptions mixed in the query set, the proposed model is extended for robust ISM. The optimization problems are solved efficiently by employing singular value thresholding and block soft thresholding operators in an alternating direction manner. Experiments on five public datasets demonstrate the effectiveness of the proposed method, comparing favorably with state-of-the-art methods.

Affiliate stigma, perceived social support and perceived stress in caregivers of children with autism spectrum disorder: A multiple mediation study.

BACKGROUND: Affiliate stigma negatively predicts social support, and positively predicts psychological distress, in caregivers of children with ASD. Whether the affiliate stigma-distress relationship occurs indirectly via social support however has not been explored. METHODS: A correlational design was used. A sample of n = 124 caregivers of children with ASD completed an online survey assessing affiliate stigma, perceived support from family, friends and significant others, and perceived stress. RESULTS: The relationship between greater affiliate stigma and increased perceived stress occurred indirectly via lower perceived support from family, but not from friends or significant others. CONCLUSIONS: These findings underscore the importance of increasing caregivers' perceived family support. Whether interventions that alleviate affiliate stigma are beneficial for reducing perceived stress, and whether this effect is mediated by increased perceived availability of support, might be the subject of future research.

Objectively assessed prospective memory failures and diurnal cortisol secretion in caregivers of children with ASD.

Caregivers of children with autism spectrum disorder (ASD) self-report more prospective memory (PM) failures compared with controls. Subjective and objective measures of PM, however, tend to be poorly correlated. This study therefore explored the cognitive impact of caring for a child with ASD using the Cambridge Prospective Memory Test (CAMPROMPT), a more objective, performance-based assessment of PM failures. Whether atypical cortisol secretion patterns might mediate caregivers' compromised cognition was also explored. A sample of n = 23 caregivers of children with ASD and n = 11 parent controls completed time- and event-cued PM tasks with CAMPROMPT. Diurnal cortisol indices, the cortisol-awakening response, diurnal cortisol slope, and mean diurnal output were estimated from saliva samples on multiple days. Results indicated objectively assessed event- but not time-cued PM failures were greater in caregivers compared with controls. Variations in cortisol secretion patterns, however, did not mediate the group effect. In conclusion, caring for a child with ASD was associated with greater deficits in event-cued PM. Future studies might examine the influence of caregivers' event-cued PM failures on quality of provided care. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Caregivers' characteristics and family constellation variables as predictors of affiliate stigma in caregivers of children with ASD.

Affiliate stigma is one risk factor for psychological distress in familial caregivers. Few studies however, and none involving caregivers in the UK and US, have explored caregivers' characteristics and family constellation variables as risk and protective factors for affiliate stigma. This study aimed to fill this gap. Moreover, we believe this study is only second to explore these relationships among caregivers of children with autism spectrum disorder (ASD), a group particularly vulnerable to affiliate stigma. A sample of n = 192 caregivers of children with ASD completed an online survey assessing caregivers' characteristics and family factors, and affiliate stigma. Non-partnered caregivers were more likely to report affiliate stigma, as were caregivers with shorter sleep duration. These findings might help clinicians and other health professionals identify caregivers at risk for affiliate stigma and concomitant psychological distress.

Multi-Modal Joint Clustering With Application for Unsupervised Attribute Discovery.

Utilizing multiple descriptions/views of an object is often useful in image clustering tasks. Despite many works that have been proposed to effectively cluster multi-view data, there are still unaddressed problems such as the errors introduced by the traditional spectral-based clustering methods due to the two disjoint stages: 1) eigendecomposition and 2) the discretization of new representations. In this paper, we propose a unified clustering framework which jointly learns the two stages together as well as utilizing multiple descriptions of the data. More specifically, two learning methods from this framework are proposed: 1) through a graph construction from different views and 2) through combining multiple graphs. Furthermore, benefiting from the separability and local graph preserving properties of the proposed methods, a novel unsupervised automatic attribute discovery method is proposed. We validate the efficacy of our methods on five data sets, showing that the proposed joint learning clustering methods outperform the recent state-of-the-art methods. We also show that it is possible to derive a novel method to address the unsupervised automatic attribute discovery tasks.

Computer face-matching technology using two-dimensional photographs accurately matches the facial gestalt of unrelated individuals with the same syndromic form of intellectual disability.

BACKGROUND: Massively parallel genetic sequencing allows rapid testing of known intellectual disability (ID) genes. However, the discovery of novel syndromic ID genes requires molecular confirmation in at least a second or a cluster of individuals with an overlapping phenotype or similar facial gestalt. Using computer face-matching technology we report an automated approach to matching the faces of non-identical individuals with the same genetic syndrome within a database of 3681 images [1600 images of one of 10 genetic syndrome subgroups together with 2081 control images]. Using the leave-one-out method, two research questions were specified: 1) Using two-dimensional (2D) photographs of individuals with one of 10 genetic syndromes within a database of images, did the technology correctly identify more than expected by chance: i) a top match? ii) at least one match within the top five matches? or iii) at least one in the top 10 with an individual from the same syndrome subgroup? 2) Was there concordance between correct technology-based matches and whether two out of three clinical geneticists would have considered the diagnosis based on the image alone? RESULTS: The computer face-matching technology correctly identifies a top match, at least one correct match in the top five and at least one in the top 10 more than expected by chance (P < 0.00001). There was low agreement between the technology and clinicians, with higher accuracy of the technology when results were discordant (P < 0.01) for all syndromes except Kabuki syndrome. CONCLUSIONS: Although the accuracy of the computer face-matching technology was tested on images of individuals with known syndromic forms of intellectual disability, the results of this pilot study illustrate the potential utility of face-matching technology within deep phenotyping platforms to facilitate the interpretation of DNA sequencing data for individuals who remain undiagnosed despite testing the known developmental disorder genes.

The Role of Social-Cognitive and Emotional Factors on Exclusive Breastfeeding Duration.

BACKGROUND: Previous research has suggested that exclusive breastfeeding is likely to be predicted by social-cognitive variables and fear. However, there is little research assessing the role of regret and self-conscious emotions (e.g., pride and guilt) in promoting exclusive breastfeeding. Research aim: The primary aim of this research was to determine whether social-cognitive variables, fear, regret, and self-conscious emotions predict exclusive breastfeeding duration. The secondary aim of this research was to assess whether these factors predict infant-feeding choice (i.e., exclusively breastfed, combination fed, or generally formula fed). METHODS: In this nonexperimental one-group self-report survey, 375 mothers rated social-cognitive variables toward breastfeeding (attitude, subjective norm, perceived control, and self-efficacy), their fear toward inadequate nutrition from breastfeeding and breastfeeding damaging their physical appearance, and the extent to which mothers may feel pride toward breastfeeding and negative self-conscious emotions (guilt and shame) and regret for not breastfeeding their infant. RESULTS: Exclusive breastfeeding duration was positively predicted by self-efficacy, pride, and regret but negatively predicted by the fear toward inadequate nutrition. We also found that in contrast with exclusive breastfeeding, generally formula feeding an infant was associated with lower self-efficacy, pride, and regret but higher subjective norm and fear toward inadequate nutrition through breastfeeding. CONCLUSION: The authors argue that it is important to consider the role of self-conscious emotions and regret on exclusive breastfeeding.

The role of social-cognitive and emotional factors on testicular self-examination.

OBJECTIVE: This study determined the role of social-cognitive and affective factors in promoting testicular self-examination. METHODS: Male participants (N = 115) rated their perceptions of testicular cancer, social-cognitive variables (attitude, subjective norm, and perceived control), and their emotions towards testicular cancer (anxiety and shame) and testicular self-examination (anticipated regret and relief). Participants also stated whether or not they had performed a testicular self-examination within the last month. RESULTS: Perceived control and anticipated relief positively predicted testicular self-examination within the last month. Both these factors also positively predicted the intention to self-examine in the future. Intention was also positively predicted by attitude and negatively predicted by shame. CONCLUSIONS: These results highlight the importance of social-cognitive and emotional factors in promoting health screening. Targeting these factors might improve the effectiveness of testicular self-examination interventions. Copyright © 2016 John Wiley & Sons, Ltd.

The psychophysiological impact of childhood autism spectrum disorder on siblings.

OBJECTIVE: The negative impact of caring for a child with autism spectrum disorder (ASD) on parents' psychophysiological functioning has been widely evidenced. However, siblings, who also face emotional, social and physical challenges associated with having a brother/sister with ASD, have been less widely studied. This study examined the psychophysiological impact of childhood ASD on siblings. METHODS: A sample of 25 siblings of children with ASD (and their mothers) and a control group of 20 siblings of neuro-typical children (and their mothers) completed questionnaires assessing: (a) demographic and lifestyle information, (b) family characteristics, (c) child behaviour problems, (d) social support and (e) depressive symptomology. Saliva samples were collected at several time points on two consecutive days, and estimates of the cortisol awakening response (CAR), diurnal cortisol slope and mean diurnal cortisol output were derived. RESULTS: Total depressive symptoms were higher in siblings of children with ASD compared with controls. Group differences with respect to depressive symptomology were driven more by emotional than functional problems. With respect to physiological functioning, groups were comparable on all cortisol indices. In siblings of children with ASD, social support, especially from parents and close friends, predicted total depressive symptoms, as did the behaviour problems of their brother/sister with ASD. CONCLUSION: Siblings of children with ASD experience greater emotional problems and overall depressive symptoms compared with a control group. Interventions that enhance social support, as well as helping siblings better understand the behaviour problems of their brother/sister with ASD, might be effective for alleviating depressive symptoms.

Sparse Coding on Symmetric Positive Definite Manifolds Using Bregman Divergences.

This paper introduces sparse coding and dictionary learning for symmetric positive definite (SPD) matrices, which are often used in machine learning, computer vision, and related areas. Unlike traditional sparse coding schemes that work in vector spaces, in this paper, we discuss how SPD matrices can be described by sparse combination of dictionary atoms, where the atoms are also SPD matrices. We propose to seek sparse coding by embedding the space of SPD matrices into the Hilbert spaces through two types of the Bregman matrix divergences. This not only leads to an efficient way of performing sparse coding but also an online and iterative scheme for dictionary learning. We apply the proposed methods to several computer vision tasks where images are represented by region covariance matrices. Our proposed algorithms outperform state-of-the-art methods on a wide range of classification tasks, including face recognition, action recognition, material classification, and texture categorization.

Benchmarking human epithelial type 2 interphase cells classification methods on a very large dataset.

OBJECTIVE: This paper presents benchmarking results of human epithelial type 2 (HEp-2) interphase cell image classification methods on a very large dataset. The indirect immunofluorescence method applied on HEp-2 cells has been the gold standard to identify connective tissue diseases such as systemic lupus erythematosus and Sjögren's syndrome. However, the method suffers from numerous issues such as being subjective, time consuming and labor intensive. This has been the main motivation for the development of various computer-aided diagnosis systems whose main task is to automatically classify a given cell image into one of the predefined classes. METHODS AND MATERIAL: The benchmarking was performed in the form of an international competition held in conjunction with the International Conference of Image Processing in 2013: fourteen teams, composed of practitioners and researchers in this area, took part in the initiative. The system developed by each team was trained and tested on a very large HEp-2 cell dataset comprising over 68,000 images of HEp-2 cell. The dataset contains cells with six different staining patterns and two levels of fluorescence intensity. For each method we provide a brief description highlighting the design choices and an in-depth analysis on the benchmarking results. RESULTS: The staining pattern recognition accuracy attained by the methods varies between 47.91% and slightly above 83.65%. However, the difference between the top performing method and the seventh ranked method is only 5%. In the paper, we also study the performance achieved by fusing the best methods, finding that a recognition rate of 85.60% is reached when the top seven methods are employed. CONCLUSIONS: We found that highest performance is obtained when using a strong classifier (typically a kernelised support vector machine) in conjunction with features extracted from local statistics. Furthermore, the misclassification profiles of the different methods highlight that some staining patterns are intrinsically more difficult to recognize. We also noted that performance is strongly affected by the fluorescence intensity level. Thus, low accuracy is to be expected when analyzing low contrasted images.

A bag of cells approach for antinuclear antibodies HEp-2 image classification.

The antinuclear antibody (ANA) test via indirect immunofluorescence applied on Human Epithelial type 2 (HEp-2) cells is a pathology test commonly used to identify connective tissue diseases (CTDs). Despite its effectiveness, the test is still considered labor intensive and time consuming. Applying image-based computer aided diagnosis (CAD) systems is one of the possible ways to address these issues. Ideally, a CAD system should be able to classify ANA HEp-2 images taken by a camera fitted to a fluorescence microscope. Unfortunately, most prior works have primarily focused on the HEp-2 cell image classification problem which is one of the early essential steps in the system pipeline. In this work we directly tackle the specimen image classification problem. We aim to develop a system that can be easily scaled and has competitive accuracy. ANA HEp-2 images or ANA images are generally comprised of a number of cells. Patterns exhibiting in the cells are then used to make inference on the ANA image pattern. To that end, we adapted a popular approach for general image classification problems, namely a bag of visual words approach. Each specimen is considered as a visual document containing visual vocabularies represented by its cells. A specimen image is then represented by a histogram of visual vocabulary occurrences. We name this approach as the Bag of Cells approach. We studied the performance of the proposed approach on a set of images taken from 262 ANA positive patient sera. The results show the proposed approach has competitive performance compared to the recent state-of-the-art approaches. Our proposal can also be expanded to other tests involving examining patterns of human cells to make inferences.

The effects of an anticipated challenge on diurnal cortisol secretion.

In healthy, non-challenged individuals, the secretion of cortisol typically follows a diurnal profile characterized by a peak in the period following waking (cortisol awakening response) and a gradual decline throughout the day. In addition, cortisol secretion is increased in response to acutely stressful stimuli, particularly stressors involving social evaluation. The current study is the first to assess the impact of an anticipated acute laboratory stressor upon the typical diurnal pattern of HPA activation and relationship to acute cortisol secretion. A sample of 23 healthy young adults provided salivary cortisol samples at four time points (immediately upon awakening, 30-min post-awakening, 1200 h and before bed) on 2 consecutive days. On the second day, participants attended the laboratory and undertook an anticipated acute socially evaluative stressor immediately following provision of their 1200 h saliva sample. Heart rate, blood pressure and mood were recorded immediately before and after the stressor and at 10 and 20 min post-stressor along with additional salivary cortisol samples. Typical patterns of cortisol secretion were observed on both days and exposure to the laboratory stressor was associated with the expected increases in cortisol, heart rate, blood pressure and negative mood. However, significant differences in diurnal cortisol secretion were observed between the two days with greater secretion, in particular, during the period following awakening, evident on the day of the anticipated laboratory stressor. Furthermore, secretion of cortisol during the period following awakening was positively related to secretion during the acute reactivity periods. This is the first study to integrate a laboratory stressor into a typical day and assess its impact on indices of diurnal cortisol secretion in an ambulatory setting. The current findings support the notion that the cortisol awakening response is associated with anticipation of the upcoming day and the subsequent demands required of the individual.

Memory failures for everyday tasks in caregivers of children with autism.

The stress of caring for a loved one with chronic illness has been linked with impairments in cognitive processes such as attention and problem solving, though few studies have examined the impact on memory. Compromised cognition, in particular, aspects of everyday functioning such as remembering medical instructions and appointments, might affect caregivers' ability to maintain the consistency and quality of care needed by the child. A sample of 31 caregivers of children with autism and 51 parents of neuro-typical children completed an electronic survey assessing their levels of psychological distress and everyday memory. Perceived stress scores were higher in the caregiver group, as were self-reported memory failures for everyday tasks. The negative impact of caregiver stress on everyday memory was particularly salient among caregivers experiencing higher perceived levels of stress. These findings have implications for interventions that aim to improve caregivers' cognitive well being through targeting the psychological sequelae associated with the caregiving experience.