Adverse childhood experience categories and subjective cognitive decline in adulthood: an analysis of the Behavioral Risk Factor Surveillance System.

CONTEXT: Adverse childhood experiences (ACEs) negatively impact health outcomes later in life, in a dose-dependent relationship; however, little is known about the impact of the individual ACE categories and subjective cognitive decline (SCD) later in life. OBJECTIVES: The aim of this study was to determine the associations among the eight ACEs and SCD. METHODS: We analyzed data from two cycles of the Behavioral Risk Factor Surveillance System (BRFSS; 2019-2020). We assessed the accumulation of ACEs and their association with SCD, and among individuals reporting only one ACE, we utilized logistic regression to compare the likelihood of reporting SCD and symptomology among the eight categories of adversity. RESULTS: Among included respondents, 10.14% reported experiencing SCD. More ACEs were reported among those with SCD (mean, 2.61; SD, 2.56) compared to those without SCD (mean, 1.44; SD, 1.91). Those with higher ACE scores were significantly less likely to have spoken with a healthcare provider about their cognitive decline. Individuals reporting one ACE of either family mental illness, family substance abuse, family incarceration, emotional abuse, or physical abuse had significantly greater odds of reporting memory loss compared to individuals with no ACEs. CONCLUSIONS: Having multiple ACEs was significantly associated with higher odds of SCD and associated limitation of social activity and was inversely associated with getting help when it is needed. Further, many ACE categories were associated with SCD - a novel addition to the literature and the methodology utilized herein. Interventions focused on improving cognitive health and preventing cognitive decline should consider the potential role of ACEs among affected populations.

Unpacking determinants and consequences of food insecurity for insulin resistance among people living with HIV: Conceptual framework and protocol for the NOURISH-OK study.

Background: Over the past four decades, advances in HIV treatment have contributed to a longer life expectancy for people living with HIV (PLWH). With these gains, the prevention and management of chronic co-morbidities, such as diabetes, are now central medical care goals for this population. In the United States, food insecurity disproportionately impacts PLWH and may play a role in the development of insulin resistance through direct and indirect pathways. The Nutrition to Optimize, Understand, and Restore Insulin Sensitivity in HIV for Oklahoma (NOURISH-OK) will use a novel, multi-level, integrated framework to explore how food insecurity contributes to insulin resistance among PLWH. Specifically, it will explore how food insecurity may operate as an intermediary risk factor for insulin resistance, including potential linkages between upstream determinants of health and downstream consequences of poor diet, other behavioral risk factors, and chronic inflammation. Methods/design: This paper summarizes the protocol for the first aim of the NOURISH-OK study, which involves purposeful cross-sectional sampling of PLWH (n=500) across four levels of food insecurity to test our conceptual framework. Developed in collaboration with community stakeholders, this initial phase involves the collection of anthropometrics, fasting blood samples, non-blood biomarkers, 24-hour food recall to estimate the Dietary Inflammatory Index (DII®) score, and survey data. A 1-month, prospective observational sub-study (total n=100; n=25 for each food security group) involves weekly 24-hour food recalls and stool samples to identify temporal associations between food insecurity, diet, and gut microbiome composition. Using structural equation modeling, we will explore how upstream risk factors, including early life events, current discrimination, and community food access, may influence food insecurity and its potential downstream impacts, including diet, other lifestyle risk behaviors, and chronic inflammation, with insulin resistance as the ultimate outcome variable. Findings from these analyses of observational data will inform the subsequent study aims, which involve qualitative exploration of significant pathways, followed by development and testing of a low-DII® food as medicine intervention to reverse insulin resistance among PLWH (ClinicalTrials.gov Identifier: NCT05208671). Discussion: The NOURISH-OK study will address important research gaps to inform the development of food as medicine interventions to support healthy aging for PLWH.

The impact of COVID-19 on otolaryngology research: a cross-sectional analysis of discontinued trials.

CONTEXT: The COVID-19 pandemic has reduced the capacity to conduct medical research due to recruitment difficulties, supply chain shortages, and funding deficits. The clinical practice of otolaryngology was especially impacted due to a reduction in elective procedures, such as facial plastic surgeries and vocal fold injections. OBJECTIVES: The primary objective was to examine the extent of clinical trial (CTs) disruption secondary to the COVID-19 pandemic in the field of otolaryngology. METHODS: On August 1, 2021, we conducted a systematic search utilizing ClinicalTrials.gov for CTs related to common otolaryngology disorders. We utilized the date range January 1, 2020 through August 1, 2021 to identify all trials potentially affected by the COVID-19 pandemic. Investigators performed screening and data extraction in a duplicate, masked fashion. Trials resulting from the search were extracted for trial status, condition treated, enrollment number, funding, study type, study design, last update posted date, and trial location. Trials that explicitly mentioned COVID-19 as a reason for discontinuation or suspension were coded as such. For trials that did not explicitly mention COVID-19, we coded the reason provided from ClinicalTrials.gov. The Oklahoma State University Center for Health Science Institutional Review Board determined that this project did not qualify as human subject research. RESULTS: A total of 1,777 CTs met the inclusion criteria, and 223 CTs were discontinued between January 1, 2020 and August 1, 2021. Thirty-three (14.8%) of the 223 CTs reported discontinuation explicitly due to the COVID-19 pandemic. The 33 studies had 1,715 participants enrolled in total. Among the primary interventions, 11 (33.3%) were devices, 10 (30.3%) were drugs, 5 (15.2%) were behavioral, 4 (12.1%) were diagnostic tests, 1 (3.0%) was dietary, and 2 (6.1%) were labeled as "other." Regarding the CT location, 20 (60.6%) were conducted in the United States, and 13 (39.4%) were conducted internationally. Of the 33 CTs, 19 (57.6%) were suspended, 9 (27.3%) were terminated, and 5 (15.2%) were withdrawn. The overall most common reason for trial disruption was recruitment difficulties (24.2%). Median enrollment for discontinued trials due to COVID-19 was 37 (interquartile range [IQR], 19-71) and for other reasons was 6 (IQR, 0-27), for which the Mann-Whitney test showed a statistically significant difference between the two (z=-3.913, p<0.001). There were no significant associations between trial location, funding source, randomization, or whether a study involved masked vs unmasked participants. CONCLUSIONS: The COVID-19 pandemic has incited an impact on clinical research in the field of otolaryngology. To preserve trial continuation amid future threats to participant interaction and communication, we recommend further exploration of remote monitoring practices and virtual procedures-those that will maintain the effectiveness and accuracy needed to establish novel therapeutics. We encourage future trials to gauge which remote assessments show the greatest validity, with the long-term goal of establishing innovative study designs resilient to future pandemics.

Beyond Groceries: An Analysis of Referral Needs to Address Underlying Causes of Child Hunger among Households Accessing Food Pantries.

Very low food security among children (VLFS-C), often referred to as child hunger, can profoundly hinder child development, family well-being, and community health. Food pantries are important community resources that routinely serve at-risk families. This study investigated the influence of various candidate risk factors for VLFS-C within a food pantry population to inform the development of the "Pantry Assessment Tool against Child Hunger (PATCH)." We collected standardized surveys among a representative sample of households with children accessing food pantry services in Oklahoma (n = 188). Weighted analyses revealed a large majority of households experienced child-level food insecurity (70.6%), with nearly half reporting low food security and nearly one-quarter reporting VLFS-C. We then used logistic regression to identify factors associated with VLFS-C, followed by chi-square automatic interaction detection (CHAID) to assess if, and in what progression, significant risk factors predicted VLFS-C. In unadjusted models, annual household income <$15,000, non-urban residence, lack of health insurance, unstable housing, heavier food pantry reliance, fair or poor adult health, adult anxiety, and adult smoking to reduce hunger pangs were all positively associated with VLFS-C. Receipt of Special Supplemental Nutrition Program for Women, Infants and Children (WIC) and higher social support were protective against VLFS-C. However, in adjusted models, only receipt of WIC remained significant. CHAID analysis revealed that access to insurance best differentiated groups with and without VLFS-C. Informed by these analyses, the PATCH tool may be useful for the development of screening programs to identify and address potential root causes of VLFS-C in pantry settings.

Feasibility and reliability of continuously monitoring alcohol use among female adolescents and young adults.

INTRODUCTION AND AIMS: Transdermal alcohol sensors allow objective, continuous monitoring and have potential to expand current research on adolescent and young adult alcohol use. The purpose of this manuscript is to evaluate the feasibility and reliability of transdermal alcohol sensor use among female adolescents as compared to female young adults. DESIGN AND METHODS: This trial included 59 female adolescents and young adults aged 14-24 years who reported drinking during the previous month. All participants were asked to wear a Giner Wrist Transdermal Alcohol Sensor (WrisTAS)-7 over a 1 month prospective study. Participants came to the research lab weekly to complete a detailed self-report of behaviours, including day of drinking events, amounts and types of alcohol use and length of drinking events. Estimates of blood alcohol concentration (eBAC) were computed from self-report data using the Matthew and Miller, NHTSA and Zhang equations. Daily transdermal alcohol concentration (TAC) peaks and calculated eBAC peak data were analysed with paired-samples t-tests and repeated measures correlations for validity comparisons. RESULTS: All participants (100%, n = 59) completed the trial, however, two participants were removed due to greater than 50% of missing transdermal alcohol sensor data. Of the 57 participants, the data included 1,722 days of continuous alcohol monitoring. Missing data was recorded more frequently among female adolescents at about (11.78%) as compared to female young adults (8.59%; χ2  = -18.40, P < 0.001). Participant self-report of drinking occurred with greater frequency (374 events) than detected by the WrisTAS transdermal alcohol sensors (243 events). On days when self-report and sensor data indicated a drinking event, participants' eBAC was moderately correlated with TAC, after accounting for repeated measures. DISCUSSION AND CONCLUSIONS: This study finds that transdermal alcohol sensors are moderately reliable when sensor data is paired with self-report. This objective data collection method may improve the ability to collect alcohol curves among adolescents.

Electronic Nicotine Delivery Systems and Serum Folate: A Case Study.

INTRODUCTION: In 2018, the US Surgeon General declared youth electronic nicotine delivery systems (ENDS) use as an epidemic. Combustible cigarettes have been shown to adversely affect folate status; however, no study to date has explored how ENDS impact folate status. METHODS: In this case study, a white 18-year-old woman was followed for a 1-month period as part of a larger study. During her participation in the study, a self-report of dietary folate consumption and use of alcohol, tobacco, and other drugs (ATOD) was collected. Each week, dried blood spots were collected to assess red blood cell (RBC) and serum folate. RESULTS: During the first 2 weeks of the study, she used ENDS and her serum folate values were depleted in the ranges of 1.91 to 4.39 µg/L. During the third week, when no ENDS were used, her serum folate value was measured at 29.44 µg/L. When ENDS use resumed during the fourth week, her serum folate value fell to 7.50 µg/L. CONCLUSIONS: This relationship suggests the need for additional studies on ENDS use and serum folate status, particularly among adolescent women who already have the lowest folate status nationally.

Using Structural Equation Modeling to Examine the Influence of Social, Behavioral, and Nutritional Variables on Health Outcomes Based on NHANES Data: Addressing Complex Design, Nonnormally Distributed Variables, and Missing Information.

BACKGROUND: Structural equation modeling (SEM) is a multivariate analysis method for exploring relations between latent constructs and measured variables. As a theory-guided approach, SEM estimates directional pathways in complex models based on longitudinal or cross-sectional data where randomized control trials would either be unethical or cost prohibitive. However, this method is infrequently used in nutrition research, despite recommendations by epidemiologists for its increased use. OBJECTIVES: The aim of this study was to explore 3 key methodologic areas for consideration by researchers when conducting SEM with complex survey datasets: the use of sampling weights, treatment of missing data, and model estimation techniques. METHODS: With the use of data from NHANES waves 2005-2010, we developed an SEM to estimate the relation between the latent construct of depression and measured variables of food security, tobacco use (serum cotinine), and age. We used a hierarchic approach to compare 5 SEM model iterations through the use of: 1 and 2) complete cases without and with the application of sampling weights; 3) an applied missingness dataset to test the accuracy of multiple imputation (MI); 4) the full NHANES dataset with imputed data and sampling weights; and 5) a final respecified model. Each iteration was conducted with maximum likelihood (ML) and quasimaximum likelihood with the Satorra-Bentler correction (QML) to compare path coefficients, standard errors, and model fit statistics. RESULTS: Path coefficients differed between 15.68% and 19.17% among model iterations. Nearly one-third of the cases had missing values, and MI reliably imputed values, allowing all cases to be represented in the final model iterations. QML provided better model fit statistics in all iterations. CONCLUSIONS: Nutrition epidemiologists should use complex weights, MI, and QML as a best-practices approach to SEM when conducting analyses with complex design survey data.

Food choice considerations among American Indians living in rural Oklahoma: The THRIVE study.

In rural American Indian (AI) communities, access to affordable, healthy foods is often limited. Understanding AI food choice considerations when selecting foods, such as sensory appeal, cost, or health, is an important yet understudied topic for eliminating persistent AI health disparities. In partnership with the Chickasaw Nation and Choctaw Nation of Oklahoma, we administered a modified version of the Food Choice Values (FCV) Questionnaire to a cross-sectional sample of 83 AI patrons shopping at tribally-owned convenience stores ≥3 times per week. The FCV Questionnaire uses 25 items to assess eight FCV subscales related to buying and eating food, including sensory appeal; safety; accessibility; convenience; health/weight control; organic; tradition; and comfort. We compared mean scores for each FCV subscale by demographic groups using t-tests and ANOVA. We used confirmatory factor analysis (CFA) to examine how well the data from this population fit FCV subscale constructs. We then used cluster analysis, MANOVA, and discriminant analysis to characterize distinct segments of the population based on patterns of FCV endorsement. Appeal, safety, and access FCVs were most strongly endorsed across the sample. Prioritization of FCVs varied by age, gender, income, and education. Our cluster analysis identified four groups, or segments, each with distinct patterns of FCV endorsement: limited endorsement of any FCVs (23.3%); safety and sensory appeal (32.9%); health/weight control (17.8%); and broad endorsement of FCVs (26.0%). These groups varied by age and employment status. Findings from this analysis informed the design and implementation of a healthy retail intervention comprised of new healthful foods and beverages, product placement and marketing strategies within four tribally-owned and operated convenience stores. Public health interventions aimed at reducing nutrition-related disparities in rural AI populations may benefit from assessing food choice considerations.