Construct Validation for Toddler-Solicited Maternal Comforting Behavior as Relevant to Family Accommodation and Child Anxiety Risk.

Reciprocal parent-child interactions are theorized to play a crucial role in child anxiety development and maintenance. The current study tested whether toddler-solicited maternal comforting behavior in low-threat (mildly challenging and novel) situations may be a unique, early indicator of anxiety-relevant interactions. Controlling for other types of maternal comforting behavior, a path model tested solicited comforting behavior in a low-threat context in relation to both family accommodation (FA) and child anxiety symptoms, which may subsequently continue to predict each other over time. Identifying the emergence of this cycle in early childhood could bolster anxiety development theory and preventative interventions. Mother-child dyads (n = 166) of predominantly non-Hispanic/Latinx European American and socioeconomically diverse backgrounds were assessed at child ages 2, 4, and school-age via laboratory observation and maternal report. A longitudinal path model showed that solicited comforting observed in a low-threat situation at age 2 predicted mother-reported FA and child anxiety symptoms at age 4, above and beyond unsolicited comforting behavior and comforting behavior in a high-threat context. Furthermore, FA and child anxiety were bidirectionally related between age 4 and school-age assessments. Results suggest that toddler-solicited comforting in low-threat situations may be a unique indicator of child-directed anxiogenic family processes. The current study also expands the FA literature by providing empirical evidence for a bi-directional relation between anxiety and accommodation in young children.

Data privacy protection in scientific publications: process implementation at a pharmaceutical company.

BACKGROUND: Sharing anonymized/de-identified clinical trial data and publishing research outcomes in scientific journals, or presenting them at conferences, is key to data-driven scientific exchange. However, when data from scientific publications are linked to other publicly available personal information, the risk of reidentification of trial participants increases, raising privacy concerns. Therefore, we defined a set of criteria allowing us to determine and minimize the risk of data reidentification. We also implemented a review process at Takeda for clinical publications prior to submission for publication in journals or presentation at medical conferences. METHODS: Abstracts, manuscripts, posters, and oral presentations containing study participant information were reviewed and the potential impact on study participant privacy was assessed. Our focus was on direct (participant ID, initials) and indirect identifiers, such as sex, age or geographical indicators in rare disease studies or studies with small sample size treatment groups. Risk minimization was sought using a generalized presentation of identifier-relevant information and decision-making on data sharing for further research. Additional risk identification was performed based on study participant/personnel parameters present in materials destined for the public domain. The potential for participant/personnel identification was then calculated to facilitate presentation of meaningful but de-identified information. RESULTS: The potential for reidentification was calculated using a risk ratio of the exposed versus available individuals, with a value above the threshold of 0.09 deemed an unacceptable level of reidentification risk. We found that in 13% of Takeda clinical trial publications reviewed, either individuals could potentially be reidentified (despite the use of anonymized data sets) or inappropriate data sharing plans could pose a data privacy risk to study participants. In 1/110 abstracts, 58/275 manuscripts, 5/87 posters and 3/58 presentations, changes were necessary due to data privacy concerns/rules. Despite the implementation of risk-minimization measures prior to release, direct and indirect identifiers were found in 11% and 34% of the analysed documents, respectively. CONCLUSIONS: Risk minimization using de-identification of clinical trial data presented in scientific publications and controlled data sharing conditions improved privacy protection for study participants. Our results also suggest that additional safeguards should be implemented to ensure that higher data privacy standards are met.

Machine Learning-Augmented Propensity Score-Adjusted Multilevel Mixed Effects Panel Analysis of Hands-On Cooking and Nutrition Education versus Traditional Curriculum for Medical Students as Preventive Cardiology: Multisite Cohort Study of 3,248 Trainees over 5 Years.

BACKGROUND: Cardiovascular disease (CVD) annually claims more lives and costs more dollars than any other disease globally amid widening health disparities, despite the known significant reductions in this burden by low cost dietary changes. The world's first medical school-based teaching kitchen therefore launched CHOP-Medical Students as the largest known multisite cohort study of hands-on cooking and nutrition education versus traditional curriculum for medical students. METHODS: This analysis provides a novel integration of artificial intelligence-based machine learning (ML) with causal inference statistics. 43 ML automated algorithms were tested, with the top performer compared to triply robust propensity score-adjusted multilevel mixed effects regression panel analysis of longitudinal data. Inverse-variance weighted fixed effects meta-analysis pooled the individual estimates for competencies. RESULTS: 3,248 unique medical trainees met study criteria from 20 medical schools nationally from August 1, 2012, to June 26, 2017, generating 4,026 completed validated surveys. ML analysis produced similar results to the causal inference statistics based on root mean squared error and accuracy. Hands-on cooking and nutrition education compared to traditional medical school curriculum significantly improved student competencies (OR 2.14, 95% CI 2.00-2.28, p < 0.001) and MedDiet adherence (OR 1.40, 95% CI 1.07-1.84, p = 0.015), while reducing trainees' soft drink consumption (OR 0.56, 95% CI 0.37-0.85, p = 0.007). Overall improved competencies were demonstrated from the initial study site through the scale-up of the intervention to 10 sites nationally (p < 0.001). DISCUSSION: This study provides the first machine learning-augmented causal inference analysis of a multisite cohort showing hands-on cooking and nutrition education for medical trainees improves their competencies counseling patients on nutrition, while improving students' own diets. This study suggests that the public health and medical sectors can unite population health management and precision medicine for a sustainable model of next-generation health systems providing effective, equitable, accessible care beginning with reversing the CVD epidemic.

Mixed diarrhoeal infection caused by Vibrio cholerae and several other enteric pathogens in a 4-year-old child returning to Germany from Pakistan.

We report a mixed enteric infection in a 4-y-old child who returned from Pakistan with fever, vomiting and profuse diarrhoea leading to severe dehydration. Vibrio cholerae O1, Salmonella paratyphi A and Campylobacter coli were cultured from stool. Furthermore, Giardia lamblia antigen and hepatitis A RNA were detected. This is the first paediatric cholera case seen in Frankfurt/Main.