To quantify and compare concurrent within-person trends in lifestyle risks, nutrition status and drivers of food choice among urban migrants in Central Asia.

We collected panel data on household structure, drivers of food choice, nutrition knowledge and diverse measures of nutrition status and lifestyle risk from urban migrants at 0, 3, 6 and 9 months using harmonised methodology in two cities. Trends were analysed using mixed-effects models and qualitatively compared within and between cities.

Ulaanbaatar, Mongolia, and Almaty, Kazakhstan.

200 adults (22–55 years) who migrated to these cities within the past 2 years.

Adjusting for age and sex, each month since migration was positively associated with fasting TAG in Almaty (0·55 mg/dl; 95 % CI: 0·13, 0·94) and BMI (0·04 kg/m2; 95 % CI: 0·01, 0·07), body fat (0·14 %; 95 % CI: 0·01, 0·26) and fasting glucose (0·04 mmol/l; 95 % CI: 0·02, 0·05) and lipids in Ulaanbaatar (P < 0·05). In Almaty, nutrition knowledge (measured using an objective 20-point scale) declined despite improvements in diet quality (measured by Prime Diet Quality Score). The influence of food availability, price and taste on food choice increased in Almaty (P < 0·05). Upon multivariable adjustment, nutrition knowledge was positively associated with diet quality in Almaty and adherence to ‘acculturated’ diet patterns in both cities (P < 0·05). Different trends in smoking, sleep quality and generalised anxiety were observed between cities.

Findings indicate heterogeneous shifts in nutrition, lifestyles and drivers of food choice among urban migrants in Central Asia and provide an evidence base for focused research and advocacy to promote healthy diets and enable nutrition-sensitive food environments.

Both impulsivity and compulsivity have been identified as risk factors for problematic use of the internet (PUI). Yet little is known about the relationship between impulsivity, compulsivity and individual PUI symptoms, limiting a more precise understanding of mechanisms underlying PUI.

The current study is the first to use network analysis to (a) examine the unique association among impulsivity, compulsivity and PUI symptoms, and (b) identify the most influential drivers in relation to the PUI symptom community.

We estimated a Gaussian graphical model consisting of five facets of impulsivity, compulsivity and individual PUI symptoms among 370 Australian adults (51.1% female, mean age = 29.8, s.d. = 11.1). Network structure and bridge expected influence were examined to elucidate differential associations among impulsivity, compulsivity and PUI symptoms, as well as identify influential nodes bridging impulsivity, compulsivity and PUI symptoms.

Results revealed that four facets of impulsivity (i.e. negative urgency, positive urgency, lack of premeditation and lack of perseverance) and compulsivity were related to different PUI symptoms. Further, compulsivity and negative urgency were the most influential nodes in relation to the PUI symptom community due to their highest bridge expected influence.

The current findings delineate distinct relationships across impulsivity, compulsivity and PUI, which offer insights into potential mechanistic pathways and targets for future interventions in this space. To realise this potential, future studies are needed to replicate the identified network structure in different populations and determine the directionality of the relationships among impulsivity, compulsivity and PUI symptoms.

COVID-19 carriers experience psychological stresses and mental health issues such as varying degrees of stigma. The Social Impact Scale (SIS) can be used to measure the stigmatisation of COVID-19 carriers who experience such problems.

To evaluate the reliability and validity of the Chinese version of the SIS, and the association between stigma and depression among asymptomatic COVID-19 carriers in Shanghai, China.

A total of 1283 asymptomatic COVID-19 carriers from Shanghai Ruijin Jiahe Fangcang Shelter Hospital were recruited, with a mean age of 39.64 ± 11.14 years (59.6% male). Participants completed questionnaires, including baseline information and psychological measurements, the SIS and Self-Rating Depression Scale. The psychometrics of the SIS and its association with depression were examined through exploratory factor analysis, confirmatory factor analysis and receiver operating characteristic analysis.

The average participant SIS score was 42.66 ± 14.61 (range: 24–96) years. Analyses suggested the model had four factors: social rejection, financial insecurity, internalised shame and social isolation. The model fit statistics of the four-factor SIS were 0.913 for the comparative fit index, 0.902 for the Tucker–Lewis index and 0.088 for root-mean-square error of approximation. Standard estimated factor loadings ranged from 0.509 to 0.836. After controlling for demographic characteristics, the total score of the 23-item SIS predicted depression (odds ratio: 1.087, 95% CI 1.061–1.115; area under the curve: 0.84, 95% CI 0.788–0.892).

The Chinese version of the SIS showed good psychometric properties and can be used to assess the level of perceived stigma experienced by asymptomatic COVID-19 carriers.

To compare how clinical researchers generate data-driven hypotheses with a visual interactive analytic tool (VIADS, a visual interactive analysis tool for filtering and summarizing large datasets coded with hierarchical terminologies) or other tools.

We recruited clinical researchers and separated them into “experienced” and “inexperienced” groups. Participants were randomly assigned to a VIADS or control group within the groups. Each participant conducted a remote 2-hour study session for hypothesis generation with the same study facilitator on the same datasets by following a think-aloud protocol. Screen activities and audio were recorded, transcribed, coded, and analyzed. Hypotheses were evaluated by seven experts on their validity, significance, and feasibility. We conducted multilevel random effect modeling for statistical tests.

Eighteen participants generated 227 hypotheses, of which 147 (65%) were valid. The VIADS and control groups generated a similar number of hypotheses. The VIADS group took a significantly shorter time to generate one hypothesis (e.g., among inexperienced clinical researchers, 258 s versus 379 s, p = 0.046, power = 0.437, ICC = 0.15). The VIADS group received significantly lower ratings than the control group on feasibility and the combination rating of validity, significance, and feasibility.

The role of VIADS in hypothesis generation seems inconclusive. The VIADS group took a significantly shorter time to generate each hypothesis. However, the combined validity, significance, and feasibility ratings of their hypotheses were significantly lower. Further characterization of hypotheses, including specifics on how they might be improved, could guide future tool development.

Emotional understanding deficit is one of the core symptoms in people with autism. In intervention studies of emotional understanding in people with autism, the visual communication design of emotional interactions can enable autistic people to better experience and understand the emotions of others and enhance their emotional comprehension ability.

Three autistic children in a school in Shanghai were selected, and all three children were insensitive to identifying the emotions of others. The study used the single subject method in the variable passive design, with the visual communication design as the independent variable and the facial expression recognition ability as the dependent variable. In addition, round teaching for the subject intervention was used in this study.

After 28 weeks of visual communication design based on emotional interaction, the three autistic children had different degrees of recognition of happiness, fear, anger, and sadness. The happy expressions in the image were learned by the three children first, followed by anger, and finally, two negative emotions: sadness and fear. This shows that visual design can improve the recognition ability of facial expressions by autism.

The visual communication design based on emotional interaction promotes the emotional comprehension ability of autism, making it easier for autistic children to understand and learn. This design also gives timely feedback to help autistic children understand and adjust their emotions. It can even migrate to psychological theory, social skills and other fields to improve the comprehensive development of autistic children.

To examine diet quality and diet-related factors among male adults of reproductive age with and without disabilities.

Cross-sectional data from the National Health and Nutrition Examination Surveys, 2013–2018.

Disability was reported as serious difficulty hearing, seeing, concentrating, walking, dressing and/or running errands due to physical, mental or emotional conditions. Diet quality was assessed by the Healthy Eating Index (HEI)-2015 and diet-related factors included self-rated diet healthfulness, food security and food assistance programmes. Multivariable linear regression estimated differences in HEI-2015 scores. Multivariable Poisson regression estimated adjusted prevalence ratios (aPR) and 95 % CI for diet-related factors.

In total, 3249 males, 18–44 years; of whom, 441 (13·4 %) reported having disabilities.

Compared with males without disabilities, those with disabilities had a 2·69-point (95 % CI: –4·18, –1·20) lower mean total HEI-2015 score and approximately one-third to half of a point lower HEI-2015 component scores for greens and beans, total protein foods, seafood and plant proteins, fatty acids and added sugars. Males with any disabilities were more likely to have low food security (aPR = 1·57; 95 % CI: 1·28, 2·92); household participation in food assistance programmes (aPR = 1·61; 95 % CI: 1·34, 1·93) and consume fast food meals during the previous week (1–3 meals: aPR = 1·11; 95 % CI: 1·01–1·21 and 4 or more meals: aPR = 1·18; 95 % CI: 1·01–1·38) compared with males with no disabilities.

Factors affecting diet and other modifiable health behaviours among male adults of reproductive age with disabilities require further investigation. Health promotion strategies that are adaptive to diverse populations within the disability community are needed.

Impactful, transdisciplinary scientific discoveries are created by teams of researchers spanning multiple disciplines, but collaboration across disciplines can be challenging. We examined how team dynamics and collaboration are related to successes and barriers faced by teams of researchers from multiple disciplines.

A mixed-methods approach was used to examine 12 research teams granted multidisciplinary pilot awards. Team members were surveyed to assess their team dynamics and individual views about transdisciplinary research. Forty-seven researchers (59.5%) responded, including two to eight members from each funded team. Associations were examined between collaborative dynamics and scholarly product outcomes, including manuscripts, grant proposals, and awarded grants. One member from each team was selected for an in-depth interview to contextualize and extend information about collaborative processes, successes, and barriers to performing transdisciplinary research.

Quality of team interactions was positively associated with achievement of scholarly products (r = 0.64, p = 0.02). Satisfaction with team members (r = 0.38) and team collaboration scores (r = 0.43) also demonstrated positive associations with achievement of scholarly products, but these were not statistically significant. Qualitative results support these findings and add further insight into aspects of the collaborative process that were particularly important to foster success on multidisciplinary teams. Beyond scholarly metrics, additional successes from the multidisciplinary teams were identified through the qualitative portion of the study including career development and acceleration for early career researchers.

Both the quantitative and qualitative study results indicate that effective collaboration is critical to multidisciplinary research team success. Development and/or promotion of team science-based trainings for researchers would promote these collaborative skills.

Evidence on the long-term comparative effectiveness of posttraumatic stress disorder (PTSD) psychotherapies in adults remains unknown. Therefore, we performed an extensive network meta-analysis of randomised controlled trials (RCTs) to determine the comparative effectiveness of psychotherapies for people diagnosed with PTSD.

A comprehensive search was conducted in Cochrane library, Embase, Medline-OVID, PubMed, Scopus, and Psych-Info until March 2021. Studies on the effectiveness of cognitive processing therapy (CPT), cognitive therapy (CT), eye movement desensitisation reprocessing (EMDR), narrative exposure therapy (NET), prolonged exposure (PE), cognitive behavioural therapy (CBT), present-centred therapy (PCT), brief eclectic psychotherapies (BEP), psychodynamic therapy (PDT) or combination therapies compared to no treatment (NT) or treatment as usual (TAU) in adults with PTSD were included. Frequentist and Bayesian approaches were used for analysis in R-software.

We included 98 RCTs with 5567 participants from 18 897 studies. CPT, EMDR, CT, NET, PE, CBT, and PCT were significant to reduce PTSD symptoms (SMD range: −1.53 to −0.75; Certainty: very low to high) at immediate post-treatment and ranked accordingly. Longitudinal analysis found EMDR (1.02) and CPT (0.85) as the significant therapies with large effect size in short-term and long-term follow-up, respectively. NET and CPT showed higher proportion of loss of PTSD diagnosis (RR range: 5.51–3.45) while there were no significant psychotherapies for retention rate compared to NT.

Our findings provide evidence for improving current guidelines and informing clinical decision-making for PTSD management. However, the best PTSD treatment plan should be tailored to patients' needs, characteristics, and clinician expertise.

PROSPERO CRD42020162143