The clash of culture and cuisine: A qualitative exploration of cultural tensions and attitudes toward food and body in Chinese young adult women.

OBJECTIVE: Accumulating evidence suggests that the prevalence of eating disorders among Chinese women is a public health concern. Prior studies have drawn linkages between conflicting cultural values, identity confusion, and eating disorder symptomatology, which may be relevant for understanding the rise of eating disorders amidst China's rapid economic and sociocultural transformation. Here, we explore how women's experiences with traditional eating norms and modernizing norms of femininity may shape their food and body attitudes. METHOD: Chinese young adult women (N = 34; aged 18-22 years) participated in semi-structured interviews focusing on experiences with norms surrounding eating and ideal feminine appearance, perceived conflict between these norms, and their responses to perceived conflict. Interviews were conducted via email (n = 27) or via Skype (n = 7). Participants were not asked about past or present diagnoses of eating disorders. Analysis of responses was guided by the principles of thematic analysis. RESULTS: Women reported encounters with cultural eating norms and feminine appearance norms, and described factors that motivated continued or discontinued adherence to these norms. Women reported strategies of conflict resolution, which resulted in different emotional and behavioral outcomes including eating disorder symptoms. DISCUSSION: Women's experiences with norms surrounding eating and appearance indicate the centrality of these encounters in the formation of individual and interpersonal values. Our findings suggest the importance for clinicians to assist clients in exploring the meanings behind internalized attitudes toward food and body, and to help clients balance interpersonal and individual needs.

Computer Vision Analysis for Quantification of Autism Risk Behaviors.

Observational behavior analysis plays a key role for the discovery and evaluation of risk markers for many neurodevelopmental disorders. Research on autism spectrum disorder (ASD) suggests that behavioral risk markers can be observed at 12 months of age or earlier, with diagnosis possible at 18 months. To date, these studies and evaluations involving observational analysis tend to rely heavily on clinical practitioners and specialists who have undergone intensive training to be able to reliably administer carefully designed behavioural-eliciting tasks, code the resulting behaviors, and interpret such behaviors. These methods are therefore extremely expensive, time-intensive, and are not easily scalable for large population or longitudinal observational analysis. We developed a self-contained, closed-loop, mobile application with movie stimuli designed to engage the child's attention and elicit specific behavioral and social responses, which are recorded with a mobile device camera and then analyzed via computer vision algorithms. Here, in addition to presenting this paradigm, we validate the system to measure engagement, name-call responses, and emotional responses of toddlers with and without ASD who were presented with the application. Additionally, we show examples of how the proposed framework can further risk marker research with fine-grained quantification of behaviors. The results suggest these objective and automatic methods can be considered to aid behavioral analysis, and can be suited for objective automatic analysis for future studies.

Methodological considerations in the use of Noldus EthoVision XT video tracking of children with autism in multi-site studies.

Animal models of autism spectrum disorders (ASD) contribute to understanding of the role of genetics and the biological mechanisms underlying behavioral phenotypes and inform the development of potential treatments. Translational biomarkers are needed that can both validate these models and facilitate behavioral testing paradigms for ASD in humans. Automated video tracking of movement patterns and positions recorded from overhead cameras is routinely applied in behavioral paradigms designed to elicit core behavioral manifestations of ASD in rodent models. In humans, laboratory-based observations are a common semi-naturalistic context for assessing a variety of behaviors relevant to ASD such as social engagement, play, and attention. We present information learned and suggest guidelines for designing, recording, acquiring, and evaluating video tracking data of human movement patterns based on our experience in a multi-site video tracking study of children with ASD in the context of a parent-child, laboratory-based play interaction.

Computer vision analysis captures atypical attention in toddlers with autism.

To demonstrate the capability of computer vision analysis to detect atypical orienting and attention behaviors in toddlers with autism spectrum disorder. One hundered and four toddlers of 16-31 months old (mean = 22) participated in this study. Twenty-two of the toddlers had autism spectrum disorder and 82 had typical development or developmental delay. Toddlers watched video stimuli on a tablet while the built-in camera recorded their head movement. Computer vision analysis measured participants' attention and orienting in response to name calls. Reliability of the computer vision analysis algorithm was tested against a human rater. Differences in behavior were analyzed between the autism spectrum disorder group and the comparison group. Reliability between computer vision analysis and human coding for orienting to name was excellent (intra-class coefficient 0.84, 95% confidence interval 0.67-0.91). Only 8% of toddlers with autism spectrum disorder oriented to name calling on >1 trial, compared to 63% of toddlers in the comparison group (p = 0.002). Mean latency to orient was significantly longer for toddlers with autism spectrum disorder (2.02 vs 1.06 s, p = 0.04). Sensitivity for autism spectrum disorder of atypical orienting was 96% and specificity was 38%. Older toddlers with autism spectrum disorder showed less attention to the videos overall (p = 0.03). Automated coding offers a reliable, quantitative method for detecting atypical social orienting and reduced sustained attention in toddlers with autism spectrum disorder.

Acceptance-based interoceptive exposure for young children with functional abdominal pain.

Functional abdominal pain (FAP) is a common childhood somatic complaint that contributes to impairment in daily functioning (e.g., school absences) and increases risk for chronic pain and psychiatric illness. Cognitive behavioral treatments for FAP target primarily older children (9 + years) and employ strategies to reduce a focus on pain. The experience of pain may be an opportunity to teach viscerally hypersensitive children to interpret the function of a variety of bodily signals (including those of hunger, emotions) thereby reducing fear of bodily sensations and facilitating emotion awareness and self-regulation. We designed and tested an interoceptive exposure treatment for younger children (5-9 years) with FAP. Assessments included diagnostic interviews, 14 days of daily pain monitoring, and questionnaires. Treatment involved 10 weekly appointments. Using cartoon characters to represent bodily sensations (e.g., Gassy Gus), children were trained to be "FBI agents" - Feeling and Body Investigators - who investigated sensations through exercises that provoked somatic experience. 24 parent-child dyads are reported. Pain (experience, distress, and interference) and negative affect demonstrated clinically meaningful and statistically significant change with effect sizes ranging from 0.48 to 71 for pain and from 0.38 to 0.61 for pain distress, total pain: X2 (1, n = 24) = 13.14, p < 0.0003. An intervention that helps children adopt a curious stance and focus on somatic symptoms reduces pain and may help lessen somatic fear generally. CLINICAL TRIAL REGISTRATION: NCT02075437.