Addressing opioid misuse through community-engaged strategy development: study protocol of a randomized controlled trial.

BACKGROUND: Involving stakeholders in the research process facilitates collaboration, increasing understanding of factors influencing their wellbeing and motivating community action. Currently, there is a need for randomized controlled trials to evaluate the effectiveness of community-engaged research approaches for health, well-being, and engagement outcomes. In this study, we evaluate the effectiveness of both the SEED Method and a modified Delphi method in a participatory project to develop local strategies to address the opioid epidemic in three rural communities. The purpose of this study is to increase the level of evidence for community-engaged research methods through a randomized controlled trial. METHODS: Two communities will use the SEED Method and one will use a modified Delphi method. We aim to recruit a total of 144 participants (48 per community). The evaluation team will randomize participants to an intervention group or a control group. In addition, we will collect outcome data from the participatory research team members leading the projects in each county (n = 18) and from additional community members who participate in focus groups (n = 32). The primary outcome for all participants will be the change in self-reported civic engagement as measured by the total score on the Individual Mobilization Scale. DISCUSSION: In the context of participatory action to address opioid misuse in rural counties, this study will provide an understanding of the effectiveness of two community engagement methods for increasing civic engagement, as well as the extent to which participants successfully create locally tailored action strategies. The study will also explore how the observed effects differ depending on the participant's role in the project (stakeholder participant, community research team member, or focus group participant), which is an important consideration for participatory research.

Community-engaged research has become increasingly popular, yet there remains a need for randomized controlled trials that focus on testing the effectiveness of community-engaged research methods for outcomes relevant to the health, well-being, or civic engagement of individuals. Community members and researchers will benefit from data on the effectiveness of engagement methods. This will help them make decisions about which community engagement methods are best suited to project aims and participants' expectations. This research protocol describes a study comparing the effectiveness of two community engagement methods, the SEED Method and the Delphi method, and a control intervention in three rural counties. In each of the counties, participants will be randomized to an intervention group using a community-engaged method or a control group using standard survey methods. Participants will create local strategies for addressing opioid misuse and prioritize those strategies for use in community action planning. For study purposes, we define opioid misuse as a problematic pattern of using opioids (prescription or illicit). Community members participating in the study represent a range of relevant stakeholders, such as people with Opioid Use Disorder, family members of people who use opioids, community service and health care providers, substance use treatment and recovery providers, and local policymakers. In each county, the research is being conducted by a diverse team of community members led by a Cooperative Extension member. We will assess changes in the self-rated civic engagement of participants and compare the number and types of strategies created and prioritized using the three methods evaluated.

Excess Death Rates by State During the COVID-19 Pandemic: United States, 2020‒2023.

Objectives. To estimate state-level excess death rates during 2020 to 2023 and examine differences by region and partisan orientation. Methods. We modeled death and population counts from the Centers for Disease Control and Prevention to estimate excess death rates for the United States, 9 census divisions, and 50 states. We compared excess death rates for states with different partisan orientations, measured by the party of the seated governor and the level of partisan representation in state legislatures. Results. The United States experienced 1 277 697 excess deaths between March 2020 and July 2023. Almost 90% of these deaths were attributed to COVID-19, and 51.5% occurred after vaccines were available. The highest excess death rates first occurred in the Northeast and then shifted to the South and Mountain states. Between weeks ending June 20, 2020, through March 19, 2022, excess death rates were higher in states with Republican governors and greater Republican representation in state legislatures. Conclusions. Excess death rates during the COVID-19 pandemic varied considerably across the US states and were associated with partisan representation in state government, although the influence of confounding variables cannot be excluded. (Am J Public Health. Published online ahead of print July 18, 2024:e1-e10. https://doi.org/10.2105/AJPH.2024.307731).

Combining developmental and sleep health measures for autism spectrum disorder screening: an ECHO study.

BACKGROUND: Sleep problems are reported for up to 80% of autistic individuals. We examined whether parsimonious sets of items derived from the Modified Checklist for Autism in Toddlers, Revised (M-CHAT-R) and the Brief Infant Sleep Questionnaire (BISQ) are superior to the standard M-CHAT-R in predicting subsequent autism spectrum disorder (ASD) diagnoses. METHODS: Participants from 11 Environmental influences on Child Health Outcomes (ECHO) cohorts were included. We performed logistic LASSO regression models with 10-fold cross-validation to identify whether a combination of items derived from the M-CHAT-R and BISQ are superior to the standard M-CHAT-R in predicting ASD diagnoses. RESULTS: The final sample comprised 1552 children. The standard M-CHAT-R had a sensitivity of 44% (95% CI: 34, 55), specificity of 92% (95% CI: 91, 94), and AUROC of 0.726 (95% CI: 0.663, 0.790). A higher proportion of children with ASD had difficulty falling asleep or resisted bedtime during infancy/toddlerhood. However, LASSO models revealed parental reports of sleep problems did not improve the accuracy of the M-CHAT-R in predicting ASD diagnosis. CONCLUSION: While children with ASD had higher rates of sleep problems during infancy/toddlerhood, there was no improvement in ASD developmental screening through the incorporation of parent-report sleep metrics. IMPACT: Parental-reported sleep problems are common in autism spectrum disorder (ASD). We investigated whether the inclusion of parental-reports of infant/toddler sleep patterns enhanced the effectiveness of developmental screening for autism. We reported higher rates of difficulty falling asleep and resisting bedtime during infancy and toddlerhood among children later diagnosed with ASD; however, we did not find an improvement in ASD developmental screening through the incorporation of parent-report sleep metrics. In our sample, the standard M-CHAT-R had a sensitivity of 39% among children of mothers with government insurance compared with a sensitivity of 53% among children of mothers with employer-based insurance.

Non-Nutritive Suck Parameters Measurements Using a Custom Pressure Transducer System.

The non-nutritive suck (NNS) device is a transportable, user-friendly pressure transducer system that quantifies infants' NNS behavior on a pacifier. Recording and analysis of the NNS signal using our system can provide measures of an infant's NNS burst duration (s), amplitude (cmH2O), and frequency (Hz). Accurate, reliable, and quantitative assessment of NNS has immense value in serving as a biomarker for future feeding, speech-language, cognitive, and motor development. The NNS device has been used in numerous research lines, some of which have included measuring NNS features to investigate the effects of feeding-related interventions, characterizing NNS development across populations, and correlating sucking behaviors with subsequent neurodevelopment. The device has also been used in environmental health research to examine how exposures in utero can influence infant NNS development. Thus, the overarching goal in research and clinical utilization of the NNS device is to correlate NNS parameters with neurodevelopmental outcomes to identify children at risk for developmental delays and provide rapid early intervention.

Cross-Sectional Associations between Prenatal Per- and Poly-Fluoroalkyl Substances and Bioactive Lipids in Three Environmental Influences on Child Health Outcomes (ECHO) Cohorts.

Prenatal per- and poly-fluoroalkyl substances (PFAS) exposure may influence gestational outcomes through bioactive lipids─metabolic and inflammation pathway indicators. We estimated associations between prenatal PFAS exposure and bioactive lipids, measuring 12 serum PFAS and 50 plasma bioactive lipids in 414 pregnant women (median 17.4 weeks' gestation) from three Environmental influences on Child Health Outcomes Program cohorts. Pairwise association estimates across cohorts were obtained through linear mixed models and meta-analysis, adjusting the former for false discovery rates. Associations between the PFAS mixture and bioactive lipids were estimated using quantile g-computation. Pairwise analyses revealed bioactive lipid levels associated with PFDeA, PFNA, PFOA, and PFUdA (p < 0.05) across three enzymatic pathways (cyclooxygenase, cytochrome p450, lipoxygenase) in at least one combined cohort analysis, and PFOA and PFUdA (q < 0.2) in one linear mixed model. The strongest signature revealed doubling in PFOA corresponding with PGD2 (cyclooxygenase pathway; +24.3%, 95% CI: 7.3-43.9%) in the combined cohort. Mixture analysis revealed nine positive associations across all pathways with the PFAS mixture, the strongest signature indicating a quartile increase in the PFAS mixture associated with PGD2 (+34%, 95% CI: 8-66%), primarily driven by PFOS. Bioactive lipids emerged as prenatal PFAS exposure biomarkers, deepening insights into PFAS' influence on pregnancy outcomes.

Measurement bias in caregiver-report of early childhood behavior problems across demographic factors in an ECHO-wide diverse sample.

Background: Research and clinical practice rely heavily on caregiver-report measures, such as the Child Behavior Checklist 1.5-5 (CBCL/1.5-5), to gather information about early childhood behavior problems and to screen for child psychopathology. While studies have shown that demographic variables influence caregiver ratings of behavior problems, the extent to which the CBCL/1.5-5 functions equivalently at the item level across diverse samples is unknown. Methods: Item-level data of CBCL/1.5-5 from a large sample of young children (N = 9087) were drawn from 26 cohorts in the Environmental influences on Child Health Outcomes program. Factor analyses and the alignment method were applied to examine measurement invariance (MI) and differential item functioning (DIF) across child (age, sex, bilingual status, and neurodevelopmental disorders), and caregiver (sex, education level, household income level, depression, and language version administered) characteristics. Child race was examined in sensitivity analyses. Results: Items with the most impactful DIF across child and caregiver groupings were identified for Internalizing, Externalizing, and Total Problems. The robust item sets, excluding the high DIF items, showed good reliability and high correlation with the original Internalizing and Total Problems scales, with lower reliability for Externalizing. Language version of CBCL administration, education level and sex of the caregiver respondent showed the most significant impact on MI, followed by child age. Sensitivity analyses revealed that child race has a unique impact on DIF over and above socioeconomic status. Conclusions: The CBCL/1.5-5, a caregiver-report measure of early childhood behavior problems, showed bias across demographic groups. Robust item sets with less DIF can measure Internalizing and Total Problems equally as well as the full item sets, with slightly lower reliability for Externalizing, and can be crosswalked to the metric of the full item set, enabling calculation of normed T scores based on more robust item sets.

An examination of the association between infant non-nutritive suck and developmental outcomes at 12 months.

OBJECTIVE: To determine the association between infant non-nutritive suck (NNS) dynamics at 3 months and developmental outcomes at 12 months of age in full-term infants. We hypothesized that infants with more mature NNS at 3 months, as evidence by shorter burst duration, fewer cycles per burst, cycles per minute, higher amplitude, and more bursts, would have higher (better) scores on the developmental outcomes at 12 months. METHODS: This was a prospective study that utilized objective and self-report measures. A five-minute NNS sample was collected from 67 infants (54% male) at 3 months of age (average age 2.99 (0.27) months). At 12 months (average age 11.91 (0.26) months), the Development Profile-3 was administered through caregiver interview. RESULTS: Infant NNS burst duration, cycles per burst, and cycles per minute were significantly negatively associated with the Development Profile-3 cognitive domain and general scores at 12 months. This is consistent with our hypothesis that infants who have more efficient NNS (fewer bursts and cycles) at 3 months would have higher (better) scores on the Development Profile-3 at 12 months. CONCLUSIONS: Findings from this work complement emerging research linking infant NNS with subsequent neurodevelopmental outcomes. This is the first time that these associations have been examined using a quantitative and physiologic-based measure of NNS. These results seem to indicate that specific NNS metrics, which demonstrate maturation of this complex skill, may be useful predictors of neurodevelopment later in life.

Gestational glyphosate exposure and early childhood neurodevelopment in a Puerto Rico birth cohort.

INTRODUCTION: N-(phosphonomethyl)glycine, or glyphosate, is a non-selective systemic herbicide widely used in agricultural, industrial, and residential settings since 1974. Glyphosate exposure has been inconsistently linked to neurotoxicity in animals, and studies of effects of gestational exposure among humans are scarce. In this study we investigated relationships between prenatal urinary glyphosate analytes and early childhood neurodevelopment. METHODS: Mother-child pairs from the PROTECT-CRECE birth cohort in Puerto Rico with measures for both maternal urinary glyphosate analytes and child neurodevelopment were included for analysis (n = 143). Spot urine samples were collected 1-3 times throughout pregnancy and analyzed for glyphosate and aminomethylphosphonic acid (AMPA), an environmental degradant of glyphosate. Child neurodevelopment was assessed at 6, 12, and 24 months using the Battelle Developmental Inventory, 2nd edition Spanish (BDI-2), which provides scores for adaptive, personal-social, communication, motor, and cognitive domains. We used multivariable linear regression to examine associations between the geometric mean of maternal urinary glyphosate analytes across pregnancy and BDI-2 scores at each follow-up. Results were expressed as percent change in BDI-2 score per interquartile range increase in exposure. RESULTS: Prenatal AMPA concentrations were negatively associated with communication domain at 12 months (%change = -5.32; 95%CI: 9.04, -1.61; p = 0.007), and communication subdomain scores at 12 and 24 months. At 24 months, four BDI-2 domains were associated with AMPA: adaptive (%change = -3.15; 95%CI: 6.05, -0.25; p = 0.038), personal-social (%change = -4.37; 95%CI: 7.48, -1.26; p = 0.008), communication (%change = -7.00; 95%CI: 11.75, -2.26; p = 0.005), and cognitive (%change = -4.02; 95%CI: 6.72, -1.32; p = 0.005). Similar trends were observed with GLY concentrations, but most confidence intervals include zero. We found no significant associations at 6 months. CONCLUSIONS: Our results suggest that gestational exposure to glyphosate is associated with adverse early neurodevelopment, with more pronounced delays at 24 months. Given glyphosate's wide usage, further investigation into the impact of gestational glyphosate exposure on neurodevelopment is warranted.

Experiences of embodiment during pregnancy and the postpartum period: A qualitative study.

Pregnancy and the postpartum period have been identified as times when women experience important changes in their physical bodies. Yet, little is known about the ways in which these experiences may be related to positive embodiment, or in contrast experienced as restricting and objectifying. Thus, the aim of this study was to qualitatively examine the way in which women experienced embodiment during the course of pregnancy and the postpartum period. Twenty women, mean age (SD)= 31.85, (2.3) years, 95 % White, participated in individual interviews and completed online surveys. Findings revealed that women described experiencing both aspects of positive embodiment including body connection and comfort, agency and functionality, attuned self-care, connection to appetite, and inhabiting the body as a subjective site. Findings also revealed negative aspects including body disconnection and discomfort, disrupted functionality, challenged self-care, appetite suppression, and the body as a public and objectified site. Findings highlight the potential for the pregnancy and postpartum periods to be important times for positive embodiment in women, and a source of appreciation of the body and its functionality. However, social pressures may also constrain embodiment during this period. These findings have implications for identifying pathways to positive embodiment in pregnancy and postpartum.

Sociocultural pressures and body related experiences during pregnancy and the postpartum period: A qualitative study.

Sociocultural pressures to pursue unrealistic appearance expectations and control body shape and weight during pregnancy and postpartum periods have been increasing. Little is known about messages from different sources that may constitute unhelpful or protective influences. The aim of this study was to qualitatively examine messages women received from the sociocultural environment during pregnancy and postpartum and their association with experiences of living in their bodies and body change behaviors. Twenty women, mean age (SD)= 31.85, (2.3) years, 95% White, 60% with a Master's degree or higher, participated in individual interviews and completed online surveys. Women described appearance pressure from multiple sources during and after pregnancy, that increased their concerns related to their weight and shape. For a small number, these concerns were associated with efforts to control weight. Others described protective influences from friends and family that promoted body attunement, functionality appreciation, and positive body image. Findings highlight the importance of sociocultural influences during the peripregnancy period yet how many women derive elements of positive body image from this period. These findings have implications for interventions to support body image among women during the peripregnancy period and positive outcomes among mothers and infants.

Behavioural drivers of child feeding during and after illness in the Democratic Republic of the Congo: results from a qualitative study through the lens of behavioural science.

OBJECTIVE: For young children experiencing an illness, adequate nutrition is critical for recovery and to prevent malnutrition, yet many children do not receive the recommended quantities of food during illness and recuperation. Our research applied a behavioural science lens to identify drivers of feeding behaviours, including barriers inhibiting caregivers from following the feeding guidelines. DESIGN: In 2021, we conducted qualitative research informed by the behavioural design process. Data from in-depth interviews and observations were analysed for themes. SETTING: Research was conducted in South Kivu, Democratic Republic of the Congo. PARTICIPANTS: Research participants included caregivers of young children, other family members, health workers and other community members. RESULTS: Five key findings about behavioural drivers emerged: (1) poverty and scarcity impose practical constraints and a cognitive and emotional burden on caregivers; (2) health providers are distracted and discouraged from counselling on feeding during sick visits; (3) a focus on quality and hesitations about quantity obscure benefits of feeding greater amounts of available foods; (4) perceptions of inappropriate foods limit caregivers' choices; and (5) deference to a child's limited appetite leads to missed opportunities to encourage them to eat. CONCLUSIONS: Each of these behavioural drivers is triggered by one or more addressable features in caregivers' and health workers' environment, suggesting concrete opportunities for programmes to support caregivers and health workers to improve feeding of young children during illness and recovery. In other settings where these features of the environment are similar, the insights and programming implications are likely to translate.

Cross-sectional associations between prenatal maternal per- and poly-fluoroalkyl substances and bioactive lipids in three Environmental influences on Child Health Outcomes (ECHO) cohorts.

Background: Per- and poly-fluoroalkyl substances (PFAS) exposure can occur through ingestion of contaminated food and water, and inhalation of indoor air contaminated with these chemicals from consumer and industrial products. Prenatal PFAS exposures may confer risk for pregnancy-related outcomes such as hypertensive and metabolic disorders, preterm birth, and impaired fetal development through intermediate metabolic and inflammation pathways. Objective: Estimate associations between maternal pregnancy PFAS exposure (individually and as a mixture) and bioactive lipids. Methods: Our study included pregnant women in the Environmental influences on Child Health Outcomes Program: Chemicals in our Bodies cohort (CiOB, n=73), Illinois Kids Developmental Study (IKIDS, n=287), and the ECHO-PROTECT cohort (n=54). We measured twelve PFAS in serum and 50 plasma bioactive lipids (parent fatty acids and eicosanoids derived from cytochrome p450, lipoxygenase, and cyclooxygenase) during pregnancy (median 17 gestational weeks). Pairwise associations across cohorts were estimated using linear mixed models and meta-analysis. Associations between the PFAS mixture and individual bioactive lipids were estimated using quantile g-computation. Results: PFDeA, PFOA, and PFUdA were associated (p<0.05) with changes in bioactive lipid levels in all three enzymatic pathways (cyclooxygenase [n=6 signatures]; cytochrome p450 [n=5 signatures]; lipoxygenase [n=7 signatures]) in at least one combined cohort analysis. The strongest signature indicated that a doubling in PFOA corresponded with a 24.3% increase (95% CI [7.3%, 43.9%]) in PGD2 (cyclooxygenase pathway) in the combined cohort. In the mixtures analysis, we observed nine positive signals across all pathways associated with the PFAS mixture. The strongest signature indicated that a quartile increase in the PFAS mixture was associated with a 34% increase in PGD2 (95% CI [8%, 66%]), with PFOS contributing most to the increase. Conclusions: Bioactive lipids were revealed as biomarkers of PFAS exposure and could provide mechanistic insights into PFAS' influence on pregnancy outcomes, informing more precise risk estimation and prevention strategies.

Can everyone hear me? Reflections on the use of global online workshops for promoting inclusive knowledge generation.

Online research methods have risen in popularity over recent decades, particularly in the wake of COVID-19. We conducted five online workshops capturing the experiences of participatory health researchers in relation to power, as part of a collaborative project to develop global knowledge systems on power in participatory health research. These workshops included predominantly academic researchers working in 24 countries across Africa, Asia, Europe, and the Americas. Here, we reflect on the opportunities, limitations, and key considerations of using online workshops for knowledge generation and shared learning. The online workshop approach offers the potential for cross-continental knowledge exchange and for the amplification of global South voices. However, this study highlights the need for deeper exploration of power dynamics exposed by online platform use, particularly the 'digital divide' between academic partners and community co-researchers. Further research is needed to better understand the role of online platforms in generating more inclusive knowledge systems.

Infant Bottle-Feeding: A Prospective Study of Infant Physiology and Parental Report Metrics.

The aim of this study was to examine associations between parent reports of bottle-feeding behaviors and infant non-nutritive suck (NNS) on a pacifier as well as oral feeding skills during bottle-feeding. A prospective study was conducted. Full-term infants with no prior diagnosed feeding disorders were recruited at 3-months. Parents reported their infant's bottle-feeding behaviors using the Neonatal Eating Assessment Tool-Bottle-Feeding (NeoEAT-Bottle-Feeding), consisting of five domains: Infant Regulation, Energy and Physiologic Stability, Gastrointestinal Tract Function, Sensory Responsiveness, and Compelling Symptoms of Problematic Feeding. Infant NNS was measured using a custom pacifier, pressure transducer device, which yields the following NNS variables: duration (sec), frequency (Hz), amplitude (cmH20), cycles per burst, cycle amount, and burst amount. The Oral Feeding Skills (OFS) scale was used to measure the initial volume, transfer volume, proficiency, and rate of milk transfer during bottle feeding. Fifty-two infants (58% male) with reported prior bottle experience completed this study. NeoEAT-Bottle-Feeding Total score was significantly positively associated with NNS burst duration and NNS cycles per burst. The NeoEAT-Bottle-Feeding Energy and Physiologic Stability domain was significantly positively correlated with NNS cycles per burst. NeoEAT-Bottle-Feeding Gastrointestinal Tract Function domain score was significantly positively correlated with NNS duration, amplitude, and cycles per burst. There were no significant associations between NeoEAT-Bottle-Feeding domains and the OFS scale. The findings demonstrate that parent reports of problematic feeding at 3 months of age are associated with aspects of infant NNS physiology and not with oral feeding metrics during bottle-feeding. Parent reports of bottle-feeding behaviors, particularly pertaining to gastrointestinal issues, were associated with aspects of infant NNS. These data together will allow for a more nuanced understanding of infant feeding and will be beneficial in determining if infants have a feeding delay.

Maternal stress and early childhood BMI among US children from the Environmental influences on Child Health Outcomes (ECHO) program.

BACKGROUND: We aimed to understand the association between maternal stress in the first year of life and childhood body mass index (BMI) from 2 to 4 years of age in a large, prospective United States-based consortium of cohorts. METHODS: We used data from the Environmental influences on Child Health Outcomes program. The main exposure was maternal stress in the first year of life measured with the Perceived Stress Scale (PSS). The main outcome was the first childhood BMI percentile after age 2 until age 4 years. We used an adjusted linear mixed effects model to examine associations between BMI and PSS quartile. RESULTS: The mean BMI percentile in children was 59.8 (SD 30) measured at 3.0 years (SD 1) on average. In both crude models and models adjusted for maternal BMI, age, race, ethnicity, infant birthweight, and health insurance status, no linear associations were observed between maternal stress and child BMI. CONCLUSIONS: Among 1694 maternal-infant dyads, we found no statistically significant relationships between maternal perceived stress in the first year of life and child BMI after 2 through 4 years. IMPACT: Although existing literature suggests relationships between parental stress and childhood BMI, we found no linear associations between maternal stress in the first year of life and childhood BMI at 2-4 years of age among participants in ECHO cohorts. Higher maternal stress was significantly associated with Hispanic ethnicity, Black race, and public health insurance. Our analysis of a large, nationally representative sample challenges assumptions that maternal stress in the first year of life, as measured by a widely used scale, is associated with offspring BMI.

Maternal mood, body image, and eating habits predict changes in feeding practices during the COVID-19 pandemic.

Maternal mood and eating habits are associated with food parenting practices, including non-responsive feeding practices, which in turn impact children's eating habits. The COVID-19 pandemic may have negatively impacted maternal mood due to the overall stress and challenges, contributing to changes in eating behaviors and food parenting practices. The present study examined how maternal mood, body image, and eating concerns were related to perceived changes in feeding practices during the pandemic. A total of 137 mothers participated in an online study. Participants retrospectively reported their mood, eating habits, body dissatisfaction, and non-responsive feeding practices, before and during the pandemic, and responded to open-ended questions regarding changes in eating and feeding patterns during the pandemic. Results suggested differences in non-responsive feeding practices, including higher use of food as a reward for behavior and lower use of standard meal settings during the pandemic. In addition, significant relationships were found between higher maternal stress and higher body dissatisfaction (r = 0.37; p < .01), restrained eating (r = 31; p < .01), emotional eating (r = 0.44; p < .01), and higher use of overt and covert restriction retrospectively and during the pandemic. Results revealed trends in the same direction for depression and anxiety. Finally, qualitative findings were consistent with the quantitative findings, suggesting relationships between maternal mood, eating habits, and feeding practices. These results provide support for previous findings suggesting that the pandemic negatively impacted maternal well-being, increasing the use of some non-responsive feeding practices. Further work exploring the impacts of the pandemic on well-being, child feeding, and eating patterns is warranted.

Calibrating a Transformer-Based Model's Confidence on Community-Engaged Research Studies: Decision Support Evaluation Study.

BACKGROUND: Deep learning offers great benefits in classification tasks such as medical imaging diagnostics or stock trading, especially when compared with human-level performances, and can be a viable option for classifying distinct levels within community-engaged research (CEnR). CEnR is a collaborative approach between academics and community partners with the aim of conducting research that is relevant to community needs while incorporating diverse forms of expertise. In the field of deep learning and artificial intelligence (AI), training multiple models to obtain the highest validation accuracy is common practice; however, it can overfit toward that specific data set and not generalize well to a real-world population, which creates issues of bias and potentially dangerous algorithmic decisions. Consequently, if we plan on automating human decision-making, there is a need for creating techniques and exhaustive evaluative processes for these powerful unexplainable models to ensure that we do not incorporate and blindly trust poor AI models to make real-world decisions. OBJECTIVE: We aimed to conduct an evaluation study to see whether our most accurate transformer-based models derived from previous studies could emulate our own classification spectrum for tracking CEnR studies as well as whether the use of calibrated confidence scores was meaningful. METHODS: We compared the results from 3 domain experts, who classified a sample of 45 studies derived from our university's institutional review board database, with those from 3 previously trained transformer-based models, as well as investigated whether calibrated confidence scores can be a viable technique for using AI in a support role for complex decision-making systems. RESULTS: Our findings reveal that certain models exhibit an overestimation of their performance through high confidence scores, despite not achieving the highest validation accuracy. CONCLUSIONS: Future studies should be conducted with larger sample sizes to generalize the results more effectively. Although our study addresses the concerns of bias and overfitting in deep learning models, there is a need to further explore methods that allow domain experts to trust our models more. The use of a calibrated confidence score can be a misleading metric when determining our AI model's level of competency.

The Concept of Resistance to Substance Use and a Research Approach: The Resist! Project.

Illicit substance use is dangerous in both acute and chronic forms, frequently resulting in lethal poisoning, addiction, and other negative consequences. Similar to research in other psychiatric conditions, whose ultimate goal is to enable effective prevention and treatment, studies in substance use are focused on factors elevating the risk for the disorder. The rapid growth of the substance use problem despite the effort invested in fighting it, however, suggests the need in changing the research approach. Instead of attempting to identify risk factors, whose neutralization is often infeasible if not impossible, it may be more promising to systematically reverse the perspective to the factors enhancing the aspect of liability to disorder that shares the same dimension but is opposite to risk, that is, resistance to substance use. Resistance factors, which enable the majority of the population to remain unaffected despite the ubiquity of psychoactive substances, may be more amenable to translation. While the resistance aspect of liability is symmetric to risk, the resistance approach requires substantial changes in sampling (high-resistance rather than high-risk) and using quantitative indices of liability. This article provides an overview and a practical approach to research in resistance to substance use/addiction, currently implemented in a NIH-funded project. The project benefits from unique opportunities afforded by the data originating from two longitudinal twin studies, the Virginia Twin Study of Adolescent and Behavioral Development and the Minnesota Twin Family Study. The methodology described is also applicable to other psychiatric disorders.

Changes in Body Mass Index Among School-Aged Youths Following Implementation of the Healthy, Hunger-Free Kids Act of 2010.

Importance: The prevalence of obesity among youths 2 to 19 years of age in the US from 2017 to 2018 was 19.3%; previous studies suggested that school lunch consumption was associated with increased obesity. The Healthy, Hunger-Free Kids Act of 2010 (HHFKA) strengthened nutritional standards of school-based meals. Objective: To evaluate the association between the HHFKA and youth body mass index (BMI). Design, Setting, and Participants: This cohort study was conducted using data from the Environmental Influences on Child Health Outcomes program, a nationwide consortium of child cohort studies, between January 2005 and March 2020. Cohorts in the US of youths aged 5 to 18 years with reported height and weight measurements were included. Exposures: Full implementation of the HHFKA. Main Outcomes and Measures: The main outcome was annual BMI z-score (BMIz) trends before (January 2005 to August 2016) and after (September 2016 to March 2020) implementation of the HHFKA, adjusted for self-reported race, ethnicity, maternal education, and cohort group. An interrupted time-series analysis design was used to fit generalized estimating equation regression models. Results: A total of 14 121 school-aged youths (7237 [51.3%] male; mean [SD] age at first measurement, 8.8 [3.6] years) contributing 26 205 BMI measurements were included in the study. Overall, a significant decrease was observed in the annual BMIz in the period following implementation of the HHFKA compared with prior to implementation (-0.041; 95% CI, -0.066 to -0.016). In interaction models to evaluate subgroup associations, similar trends were observed among youths 12 to 18 years of age (-0.045; 95% CI, -0.071 to -0.018) and among youths living in households with a lower annual income (-0.038; 95% CI, -0.063 to -0.013). Conclusions and Relevance: In this cohort study, HHFKA implementation was associated with a significant decrease in BMIz among school-aged youths in the US. The findings suggest that school meal programs represent a key opportunity for interventions to combat the childhood obesity epidemic given the high rates of program participation and the proportion of total calories consumed through school-based meals.

Gestational Exposure to Phthalates and Phthalate Replacements in Relation to Neurodevelopmental Delays in Early Childhood.

Phthalates have been linked to changes in child neurodevelopment. However, sex-specificity has been reported inconsistently, and little is known about the impact of recent phthalate replacement chemicals. Our analysis included mother−child pairs (N = 274) from the PROTECT birth cohort in Puerto Rico. Phthalate metabolites were measured in multiple maternal urine collected during pregnancy. Neurodevelopment was measured at 6, 12, and 24 months of age using the Battelle Developmental Inventory-2nd edition (BDI), which provides scores for adaptive, personal-social, communication, motor, and cognitive domains. Multivariable linear regression was used to examine associations between phthalate metabolite concentrations and BDI scores, adjusting for maternal age, maternal education, child age, and specific gravity. Sex-specificity was assessed with sex X exposure interaction terms and stratified models. Results show that all five domains were significantly associated with mono-3-carboxypropyl phthalate (MCPP) at age 24 months, suggesting a holistic developmental delay related to this metabolite. Sex-specificity existed for all timepoints (p-interaction < 0.2), in general, showing stronger associations among boys. For example, metabolites of a recent phthalate replacement, di-2-ethylhexyl terephthalate (DEHTP), were differentially associated with the adaptive domain (boys −7.53%/IQR, 95% CI: −14.58, −0.48 vs. girls −0.85%/IQR, 95% CI: −5.08, 3.37), and the cognitive domain (boys −6.05%/IQR, 95% CI: −10.88, −1.22 vs. girls −1.93%/IQR, 95%CI: −4.14, 0.28) at 6 months. To conclude, gestational exposure to phthalates and phthalate replacements was associated with neurodevelopmental delay across multiple domains, with differences by sex and child age.