Congenital Cytomegalovirus Testing Outcomes From the ValEAR Trial.

OBJECTIVE: To determine the positivity rate of congenital cytomegalovirus (cCMV) testing among universal, hearing-targeted CMV testing (HT-cCMV) and delayed targeted dried blood spot (DBS) testing newborn screening programs, and to examine the characteristics of successful HT-cCMV testing programs. STUDY DESIGN: Prospective survey of birth hospitals performing early CMV testing. SETTING: Multiple institutions. METHODS: Birth hospitals participating in the National Institutes of Health ValEAR clinical trial were surveyed to determine the rates of cCMV positivity associated with 3 different testing approaches: universal testing, HT-cCMV, and DBS testing. A mixed methods model was created to determine associations between successful HT-cCMV screening and specific screening protocols. RESULTS: Eighty-two birth hospitals were surveyed from February 2019 to December 2021. Seven thousand six hundred seventy infants underwent universal screening, 9017 infants HT-cCMV and 535 infants delayed DBS testing. The rates of cCMV positivity were 0.5%, 1.5%, and 7.3%, respectively. The positivity rate for universal CMV screening was less during the COVID-19 pandemic than that reported prior to the pandemic. There were no statistically significant drops in positivity for any approach during the pandemic. For HT-cCMV testing, unique order sets and rigorous posttesting protocols were associated with successful screening programs. CONCLUSION: Rates of cCMV positivity differed among the 3 approaches. The rates are comparable to cohort studies reported in the literature. Universal CMV prevalence decreased during the pandemic but not significantly. Institutions with specific order set for CMV testing where the primary care physician orders the test and the nurse facilitates the testing process exhibited higher rates of HT-cCMV testing.

Mother and Infant Predictors of Rapid Infant Weight Gain.

Objective. To examine characteristics of the infant and mother associated with rapid infant weight gain (RIWG). Methods. Electronic health records (N = 4626) of term infants born were reviewed. Multivariable logistic regression examined the presence of RIWG (vs not) using participant characteristics in the whole sample and in stratified groups. Results. The prevalence of RIWG was 18.7%. Predictors of RIWG were infant male sex, younger infant gestational age, firstborn (vs later born) status, maternal Black or Other (Asian, American Indian, etc), non-Hispanic race/ethnicity (vs White non-Hispanic), Medicaid (vs non-Medicaid insurance), and maternal cigarette smoking status (vs never smoker). The regression model explained between 7.0% and 11.4% of the variance in RIWG. There were few differences in predictors of RIWG in stratified samples. Conclusions. Early childhood obesity intervention efforts may target the modifiable risk factors for RIWG starting prenatally.

Methodological considerations for observational coding of eating and feeding behaviors in children and their families.

BACKGROUND: Behavioral coding of videotaped eating and feeding interactions can provide researchers with rich observational data and unique insights into eating behaviors, food intake, food selection as well as interpersonal and mealtime dynamics of children and their families. Unlike self-report measures of eating and feeding practices, the coding of videotaped eating and feeding behaviors can allow for the quantitative and qualitative examinations of behaviors and practices that participants may not self-report. While this methodology is increasingly more common, behavioral coding protocols and methodology are not widely shared in the literature. This has important implications for validity and reliability of coding schemes across settings. Additional guidance on how to design, implement, code and analyze videotaped eating and feeding behaviors could contribute to advancing the science of behavioral nutrition. The objectives of this narrative review are to review methodology for the design, operationalization, and coding of videotaped behavioral eating and feeding data in children and their families, and to highlight best practices. METHODS: When capturing eating and feeding behaviors through analysis of videotapes, it is important for the study and coding to be hypothesis driven. Study design considerations include how to best capture the target behaviors through selection of a controlled experimental laboratory environment versus home mealtime, duration of video recording, number of observations to achieve reliability across eating episodes, as well as technical issues in video recording and sound quality. Study design must also take into account plans for coding the target behaviors, which may include behavior frequency, duration, categorization or qualitative descriptors. Coding scheme creation and refinement occur through an iterative process. Reliability between coders can be challenging to achieve but is paramount to the scientific rigor of the methodology. Analysis approach is dependent on the how data were coded and collapsed. CONCLUSIONS: Behavioral coding of videotaped eating and feeding behaviors can capture rich data "in-vivo" that is otherwise unobtainable from self-report measures. While data collection and coding are time-intensive the data yielded can be extremely valuable. Additional sharing of methodology and coding schemes around eating and feeding behaviors could advance the science and field.

Maternal concerns about children overeating among low-income children.

Addressing overeating is essential to obesity treatment and prevention. The objectives of this study were to investigate maternal concern for child overeating, to identify associated participant characteristics and to determine if concern for child overeating is associated with maternal feeding practices. Low-income mothers (N=289) of children (mean age 70.8months) participated in a semi-structured interview. Themes of maternal concern for child overeating were identified and a coding scheme was reliably applied. Maternal feeding practices were measured by questionnaire and videotaped eating interactions. Logistic regressions were used to test the associations of participant characteristics with the presence of each theme, and bivariate analyses were used to test the associations of the presence of each theme with feeding practices. Three themes were identified: 1) mothers worry that their child does overeat, 2) mothers acknowledge that their child may overeat but indicate that it is not problematic because they manage their child's eating behavior, and 3) mothers acknowledge that their child may overeat but indicate that it is not problematic because of characteristics inherent to the child. Child obesity predicted the themes; mothers of obese and overweight children are more likely to be concerned about overeating. Themes were associated with lower levels of observed pressure to eat. Only Theme 2 was associated with greater restrictive feeding practices. Interventions that provide parents' practical, healthy ways to prevent child overeating may be helpful.