"I'm dealing with a health care system that doesn't get it": Barriers and facilitators to inclusive healthcare for autistic adults.

LAY ABSTRACT: Research has suggested that autistic adults may have a bigger chance of having mental health and physical health conditions such as depression, anxiety, sleep disorders, diabetes, obesity, and heart problems than adults without autism. Unfortunately, the unique healthcare needs of autistic adults are often overlooked, so it is not clear why autistic adults have worse health or what can be done to improve it. This study wants to find out the challenges autistic adults experience in taking care of their health and in going to different doctors. Researchers interviewed autistic adults across the country about their healthcare experiences. The interviewed autistic adults told the researchers about the barriers (things that did not help) and facilitators (things that did help) that impacted whether they received the care they needed. The researchers then organized what they learned from the autistic adults into a model called the Systems Engineering Initiative for Patient Safety model of work system and patient safety. This model explains how different parts of a healthcare system (person, tasks, technology and tools, environment, and organization) interact with one another and impact the healthcare experiences and outcomes of the patients in their care, like autistic adults. Overall, this study advocates for a systems-level approach to improving the healthcare experiences of autistic adults and their health outcomes.

Building Community and Identity Online: A Content Analysis of Highly Viewed #Autism TikTok Videos.

Background: TikTok is a popular social media site for connecting with others online where many users also access and share health-related information. Previous studies have characterized information shared about specific disabilities on TikTok, but descriptions of autism-related content are lacking. Understanding the information shared about autism on TikTok is important to understanding health communication in this space, the lived experiences of autistic people, and the role that social media platforms play in building community through connection, understanding, and inclusion. Methods: We used an open-source data scraper to identify and download videos with at least 1 million views and that used the hashtag #autism from TikTok. Using a joint inductive and deductive approach, we performed a content analysis of videos. We identified six content topics that described video content (e.g., positive social interactions and features of autism), and three categories that described video purpose (e.g., educational, experiential, and observational). We used descriptive statistics to describe characteristics of who was in the TikTok videos. Results: We analyzed n = 678 videos. The most common content topic of TikTok videos was features of autism (39.7%), followed by marginalization (25.4%). Most videos were categorized as experiential (61.4%) or observational (31.4%) rather than educational (7.2%). Approximately 65.5% of videos featured an autistic adult and 22.6% featured an autistic child. Among videos featuring an autistic person (n = 594), most autistic people were perceived to be White (87.0%) with similar numbers of feminine (52.9%) and masculine (44.8%) presenting autistic people. Conclusions: Highly viewed #autism TikTok videos primarily share autistic people's individual experiences rather than providing general education about autism. However, autistic Black, Indigenous, and people of color may have difficulty finding others that represent them along both disability and racial dimensions. Future research should investigate autistic people's motivations for using TikTok, and how #autism content shapes social discourse about autism.

What was the purpose of this study?: We wanted to describe information about autism that is highly viewed on TikTok to better understand what people see, hear, and learn about autism online. Autism content on TikTok can help autistic people find others with similar experiences and build community and can shape the way nonautistic people view and interact with autistic people. What did the researchers do?: We downloaded videos from TikTok that used the hashtag #autism and had at least 1 million views. We watched the videos and assigned each video a content topic and a category. Content topics described the content of the video and categories described the purpose of the video. What were the results of the study?: We included 678 videos grouped into six content topics: (1) features of autism, which included videos about restrictive and repetitive behaviors, social and communication differences, associated core experiences, and talents; (2) marginalization, which included videos about lack of access, stigma and misconceptions, and inspiration porn; (3) supports, which included accommodations, services and interventions, and caregiving; (4) positive social interactions; (5) daily life; and (6) miscellaneous/other.The most common content topic was features of autism (39.7%), followed by marginalization (25.4%). The least common content topic was positive social interactions (5.2%). The most common category of videos was experiential (61.4%), followed by observational (31.4%) and educational (7.2%). More than half of the videos included an autistic adult, and about a quarter included an autistic child. Among the videos that included an autistic person, most autistic people were perceived to be White, and there were similar numbers of masculine and feminine-presenting autistic people. What do these findings add to what was already known?: We know that many autistic people like to communicate online and use social media. These findings show that most of the content about autism on TikTok involves autistic people sharing their life experiences instead of providing "facts" or education about autism. Because autistic people from diverse backgrounds were less often present in videos, these individuals may have difficulty connecting with each other on TikTok. What are potential weaknesses in this study?: We did not download TikTok videos while logged into a user account, so the videos we included may be different than the videos shown to an individual user who searches #autism. The way that we categorized videos may have been different from how others would have done so. We did not include less-viewed videos in the study, which could have had different content topics. Our perceptions of the gender, race, and ethnicity of people in videos may not reflect how they would self-identify. How will these findings help autistic adults now or in the future?: These findings may be helpful for autistic adults who are looking for online community building with other autistic people. Because many autistic people shared their lived experiences, these findings may promote understanding and acceptance of autistic people by nonautistic people.

Role of hospitalisation for substance misuse in marital status transitions: a 47-year follow-up of a Swedish birth cohort.

BACKGROUND: Substantial research suggests that the risk of substance misuse is higher among individuals who remain unmarried or experience marital dissolution, whereas marriage tends to be protective. However, few studies have considered the role of substance misuse for transitions between discrete marital status categories. The current study aims to estimate associations between substance misuse and marital status transitions from ages 20-66. METHODS: Our study population was a national Swedish cohort born in 1953 (n=71 901), followed from 1973 to 2019. Annual marital status and hospitalisation records for substance misuse were derived from the Total Population and National Patient registers, respectively. We used a five-state multistate model to estimate associations between substance misuse and marital status transitions-the state space included never married, married, divorced and widowed with death as the absorbing state. We further used fixed-effect models to estimate the effects of substance misuse on transitions out of marriage. RESULTS: Findings suggested that individuals' substance misuse was associated with an increased risk of transitioning from married to divorced (HR=3.54, 95% CI 3.40 to 3.69) or widowed (HR=1.71, 95% CI 1.46 to 2.01), and transitioning to death from all states. Substance misuse was also negatively associated with transitioning from never married to married (HR=0.59, 95% CI 0.57 to 0.61), and into remarriage after divorce (HR=0.86, 95% CI 0.80 to 0.92). The fixed-effect results suggested that substance misuse increased the risk of transitioning to divorce and widowhood, net of sociodemographic characteristics. CONCLUSION: Substance misuse is associated with an increased risk of marital dissolution and death when accounting for nearly 50 years of marital biographies.

Embryonic statistical analyses reveal 2 growth phenotypes in mouse models of Down syndrome.

BACKGROUND: Down syndrome is associated with several comorbidities, including intellectual disability, growth restriction, and congenital heart defects. The prevalence of Down syndrome-associated comorbidities is highly variable, and intellectual disability, although fully penetrant, ranges from mild to severe. Understanding the basis of this interindividual variability might identify predictive biomarkers of in utero and postnatal outcomes that could be used as endpoints to test the efficacy of future therapeutic interventions. OBJECTIVE: The main objective of this study was to examine if antenatal interindividual variability exists in mouse models of Down syndrome and whether applying statistical approaches to clinically relevant measurements (ie, the weights of the embryo, placenta, and brain) could define cutoffs that discriminate between subgroups of trisomic embryos. STUDY DESIGN: Three commonly used mouse models of Down syndrome (Dp(16)1/Yey, Ts65Dn, and Ts1Cje) and a new model (Ts66Yah) were used in this study. Trisomic and euploid littermate embryos were used from each model with total numbers of 102 for Ts66Yah, 118 for Dp(16)1/Yey, 92 for Ts65Dn, and 126 for Ts1Cje. Placental, embryonic, and brain weights and volumes at embryonic day 18.5 were compared between genotypes in each model. K-mean clustering analysis was applied to embryonic and brain weights to identify severity classes in trisomic embryos, and brain and placental volumetric measurements were compared between genotypes and classes for each strain. In addition, Ts66Yah embryos were examined for malformations because embryonic phenotypes have never been examined in this model. RESULTS: Reduced body and brain weights were present in Ts66Yah, Dp(16)1/Yey, and Ts65Dn embyos. Cluster analysis identified 2 severity classes in trisomic embryos-mild and severe-in all 4 models that were distinguishable using a putative embryonic weight cutoff of <0.5 standard deviation below the mean. Ts66Yah trisomic embryos develop congenital anomalies that are also found in humans with Down syndrome, including congenital heart defects and renal pelvis dilation. CONCLUSION: Statistical approaches applied to clinically relevant measurements revealed 2 classes of phenotypic severity in trisomic mouse models of Down syndrome. Analysis of severely affected trisomic animals may facilitate the identification of biomarkers and endpoints that can be used to prenatally predict outcomes and the efficacy of treatments.

The Impacts of the COVID-19 Pandemic on Receipt of Needed Medical Care and At-Home Support among U.S. Households Receiving Supplemental Security Income and Social Security Disability Insurance on the Basis of Disability.

More than 8.1 million Americans with disabilities qualify for Supplemental Security Income (SSI) or Social Security Disability Insurance (SSDI). Individuals with disabilities were particularly vulnerable to COVID-19, which may have altered individual and household behavior. Research on the impact of COVID-19 on individuals with disabilities and their families remains limited. Authors analyzed 2020 National Health Interview Survey data. Logistic regression models were applied, controlling for the effects of age, race, sex, income, education, employment, and health status. Households with SSI/SSDI beneficiaries with disabilities were associated with significantly greater odds of delaying or forgoing medical care and receiving needed personal and household care at home due to COVID-19 compared with households without beneficiaries. The health and well-being of households with individuals with disabilities may require more robust and inclusive social work initiatives that aim to reduce adverse pandemic impacts.

Offspring hospitalization for substance use and changes in parental mental health: A Finnish register-based study.

Prior research indicates that parental psychiatric disorders increase their offspring's risk of substance use problems. Though the association is likely bidirectional, the effects of an adult child's substance use on parental mental health remain understudied. We examined parents' psychotropic medication use trajectories by parental sex and educational attainment before and after a child's alcohol- or narcotics-attributable hospitalization. We identified Finnish residents, born 1979-1988, with a first hospitalization for substance use during emerging adulthood (ages 18-29, n = 12,851). Their biological mothers (n = 12,283) and/or fathers (n = 10,765) were followed for the two years before and after the hospitalization. Psychotropic medication use was measured in three-month periods centered around the time of child's hospitalization, and the probability of psychotropic medication use at each time point was assessed using generalized estimating equations logit models. Among mothers, the prevalence of psychotropic medication use increased during the year before, peaked during the 0-3 months after hospitalization, and remained at a similarly elevated level until the end of follow-up. The prevalence among fathers increased gradually and linearly across follow-up, with minimal changes evident either directly before or after the hospitalization. Parents' educational attainment did not modify these trajectories. Our results highlight the importance of considering linked lives when quantifying substance use-attributable harms and underscore the need for future research examining the intergenerational spillover effects of substance use in both directions, particularly in mother-child dyads.

Psychometric properties of the mock interview rating scale for autistic transition-age youth.

Background: Employment is a major contributor to quality of life. However, autistic people are often unemployed and underemployed. One potential barrier to employment is the job interview. However, the availability of psychometrically-evaluated assessments of job interviewing skills is limited for autism services providers and researchers. Objective: We analyzed the psychometric properties of the Mock Interview Rating Scale that was adapted for research with autistic transition-age youth (A-MIRS; a comprehensive assessment of video-recorded job interview role-play scenarios using anchor-based ratings for 14 scripted job scenarios). Methods: Eighty-five transition-age youth with autism completed one of two randomized controlled trials to test the effectiveness of two interventions focused on job interview skills. All participants completed a single job interview role-play at pre-test that was scored by raters using the A-MIRS. We analyzed the structure of the A-MIRS using classical test theory, which involved conducting both exploratory and confirmatory factor analyzes, Rasch model analysis and calibration techniques. We then assessed internal consistency, inter-rater reliability, and test-retest reliability. Pearson correlations were used to assess the A-MIRS' construct, convergent, divergent, criterion, and predictive validities by comparing it to demographic, clinical, cognitive, work history measures, and employment outcomes. Results: Results revealed an 11-item unidimensional construct with strong internal consistency, inter-rater reliability, and test-retest reliability. Construct [pragmatic social skills (r = 0.61, p < 0.001), self-reported interview skills (r = 0.34, p = 0.001)], divergent [e.g., age (r = -0.13, p = 0.26), race (r = 0.02, p = 0.87)], and predictive validities [competitive employment (r = 0.31, p = 0.03)] received initial support via study correlations, while convergent [e.g., intrinsic motivation (r = 0.32, p = 0.007), job interview anxiety (r = -0.19, p = 0.08)] and criterion [e.g., prior employment (r = 0.22, p = 0.046), current employment (r = 0.21, p = 0.054)] validities were limited. Conclusion: The psychometric properties of the 11-item A-MIRS ranged from strong-to-acceptable, indicating it may have utility as a reliable and valid method for assessing the job interview skills of autistic transition-age youth.

Improving Quantitative Accuracy in Nontargeted Lipidomics by Evaluating Adduct Formation.

For large-scale lipidomic analyses, accurate and reproducible quantification of endogenous lipids is crucial for comparing results within and across studies. Many lipids present in liquid chromatography-electrospray ionization-mass spectrometry form various adducts with buffer components. The mechanisms and conditions that dictate adduct formation are still poorly understood. In a positive mode, neutral lipids like mono-, di-, and triacylglycerides and cholesteryl esters typically generate [M + NH4]+ adduct ions, although [M + Na]+, [M + K]+, and other (more complex) species can also be significantly abundant in MS1 precursor ion spectra. Variations in the ratios of these adducts (within and between matrices) can lead to dramatic inaccuracies during quantification. Here, we examine 48 unique diacylglycerol (DAG) species across 2366 mouse samples for eight matrix-specific data sets of plasma, liver, kidney, brain, heart muscle, gastrocnemius muscle, gonadal, and inguinal fat. Typically, no single adduct ion species accounted for more than 60% of the total observed abundance across each data set. Even within a single matrix, DAGs showed a high variability of adduct ratios. The ratio of [M + NH4]+ adduct ions was increased for longer-chain DAGs and for polyunsaturated DAGs, at the expense of reduced ratios of [M + Na]+ adducts. When using three deuterated internal DAG standards, we found that absolute concentrations were estimated with up to 70% error when only one adduct ion was used instead of all adducts combined. Importantly, when combining [M + NH4]+ and [M + Na]+ adduct ions, quantification results were within 5% accuracy compared to all adduct ions combined. Additional variance can be caused by other factors, such as instrument conditions or matrix effects.

Measuring LEND Core Competencies Using Trainee Follow-Up Surveys.

OBJECTIVES: Measuring the value-added impact of Leadership Education in Neurodevelopmental Disabilities and Related Disorders (LEND) training on trainees' leadership and career trajectories is necessary to understand program efficacy. In the current study, we leveraged an existing ex post facto design to develop and test a new measure of LEND competencies and compare outcomes of LEND trainees and comparison peers. METHODS: We developed the LEND Outcomes Follow-Up Survey using a multi-step, mixed methods process. A series of focus groups and consultations with key stakeholders identified eight important LEND leadership outcomes: (1) interdisciplinary work; (2) advocacy; (3) intersectional approach; (4) systems perspective; (5) life course perspective; (6) leadership; (7) engagement with maternal and child health populations; and (8) research experience. We developed and piloted this novel survey to measure these LEND leadership outcomes. We used data collected from this novel measure and an existing survey that is used nationally by LEND, to compare the outcomes of 43 LEND trainees and 30 comparison peers at two years post completion of LEND training. RESULTS: We found that, compared to comparison peers, LEND trainees: (1) worked with a greater number of disciplines; (2) were more likely to be engaged in advocacy; (3) were more likely to utilize a systems perspective in their work; (4) were more likely to work with maternal and child health populations; and (5) were more likely to have experience conducting research. CONCLUSIONS: Our findings suggested that LEND training improves LEND leadership outcomes at two years post-completion of LEND training.

The Impact of Mmu17 Non-Hsa21 Orthologous Genes in the Ts65Dn Mouse Model of Down Syndrome: The Gold Standard Refuted.

BACKGROUND: Despite successful preclinical treatment studies to improve neurocognition in the Ts65Dn mouse model of Down syndrome, translation to humans has failed. This raises questions about the appropriateness of the Ts65Dn mouse as the gold standard. We used the novel Ts66Yah mouse that carries an extra chromosome and the identical segmental Mmu16 trisomy as Ts65Dn without the Mmu17 non-Hsa21 orthologous region. METHODS: Forebrains from embryonic day 18.5 Ts66Yah and Ts65Dn mice, along with euploid littermate controls, were used for gene expression and pathway analyses. Behavioral experiments were performed in neonatal and adult mice. Because male Ts66Yah mice are fertile, parent-of-origin transmission of the extra chromosome was studied. RESULTS: Forty-five protein-coding genes mapped to the Ts65Dn Mmu17 non-Hsa21 orthologous region; 71%-82% are expressed during forebrain development. Several of these genes are uniquely overexpressed in Ts65Dn embryonic forebrain, producing major differences in dysregulated genes and pathways. Despite these differences, the primary Mmu16 trisomic effects were highly conserved in both models, resulting in commonly dysregulated disomic genes and pathways. Delays in motor development, communication, and olfactory spatial memory were present in Ts66Yah but more pronounced in Ts65Dn neonates. Adult Ts66Yah mice showed milder working memory deficits and sex-specific effects in exploratory behavior and spatial hippocampal memory, while long-term memory was preserved. CONCLUSIONS: Our findings suggest that triplication of the non-Hsa21 orthologous Mmu17 genes significantly contributes to the phenotype of the Ts65Dn mouse and may explain why preclinical trials that used this model have unsuccessfully translated to human therapies.

Predictors of sleep quality for autistic people across adulthood.

Poor sleep can have a significant impact on physical health and well-being. Sleep problems are common among autistic children, but less is known about sleep across the autistic adult lifespan. Autistic adults (n = 730, aged 18-78 years) were recruited via Simons Powering Autism Research for Knowledge Research Match. Participants completed online surveys asking about demographics, health problems, social support, symptoms of anxiety and depression, and overall and specific aspects of sleep quality. Regression analyses explored the variables associated with sleep quality. Physical health, assigned female sex at birth and self-reported anxiety symptoms significantly contributed to models for all aspects of sleep. Perceived stress contributed to models of overall and subjective sleep quality, and daytime dysfunction. Depression symptoms did not contribute significantly to any of the models of sleep quality. However, utilizing government support mechanisms (such as social security) contributed to the model of sleep efficiency. Age contributed little to models of sleep quality, whereas perceived stress and psychotropic medication use contributed to some but not all aspects of sleep. Sleep quality is poor for autistic people across the adult lifespan. Given known impacts of poor sleep on health, cognition and quality of life, attention should be paid to sleep and its possible everyday effects for autistic people of all ages.

Mortality rate and age of death among Medicare-enrolled autistic older adults.

Background: An emerging body of evidence suggests that autistic people are at greater risk for mortality than non-autistic people. Yet, relatively little is known about mortality rates among autistic people during older adulthood (i.e., age 65 or older). Methods: We examined 5-year mortality among a national US sample of Medicare-enrolled autistic (n=3,308) and non-autistic (n=33,080) adults aged 65 or older. Results: Autistic older adults had 2.87 times greater rate of mortality (95% CI=2.61-3.07) than non-autistic older adults. Among decedents (39.6% of autistic and 15.1% of non-autistic older adults), the median age of death was 72 years (IQR=69-78) for autistic and 75 years (IQR=70-83) for non-autistic older adults. Among autistic older adults, those with intellectual disability had 1.57 times greater rate of mortality (95% CI=1.41-1.76) than those without, and males had 1.27 times greater rate of mortality (95% CI=1.12-1.43) than females. Conclusions: Many trends regarding mortality observed in younger samples of autistic people were also observed in our study. However, we found only a three-year difference in median age at death between autistic and non-autistic decedents, which is a much smaller disparity than reported in some other studies. This potentially suggests that when autistic people live to the age of 65, they may live to a more similar age as non-autistic peers.

Comprehensive lipidomic profiling by plasma separation cards.

Large-scale lipidomic analyses have been limited by the cost and accessibility of traditional venipuncture sampling. Microsampling techniques offer a less-invasive and more accessible alternative. From a single drop of blood, plasma separation cards (PSC) deliver two volumetric dried plasma samples which are studied here for profiling endogenous blood lipids. Six lots of EDTA-treated human whole blood were used to compare PSC, dried blood spot analyses (DBS), and classic wet plasma extractions. Six replicate extractions were performed for each lot. Nontargeted lipidomics was performed by liquid chromatography-high resolution tandem mass spectrometry. Lipids were annotated by accurate mass/retention time matching and MS/MS spectral library matching using peak intensities for quantitation. Four hundred ninety-eight compounds covering 24 lipid subclasses were annotated. Inter-lot repeatability was evaluated by the percent relative standard deviation (%RSD) for each lot, giving median %RSD values across the lots at 14.6% for PSC, 9.3% for DBS, and 8.6% for wet plasma. Strong correlations of lipid peak intensities between wet plasma and PSCs were observed, but less for DBS. Lipid recovery and stability were comparable between the PSC and DBS samples, with roughly 60% of annotated lipids stable at room temperature after 28 days. Overall, PSCs provide a better alternative for quantitative blood lipidomic analyses compared to dried blood spots. However, problems with lipid stability for samples handled and shipped at room temperature are currently unavoidable outside of a clinical setting. Data transferability and comparability to standard plasma is lipid and lipid class dependent.

Cardiovascular disease risk factors in autistic adults: The impact of sleep quality and antipsychotic medication use.

Approximately 40% of American adults are affected by cardiovascular disease (CVD) risk factors (e.g., high blood pressure, high cholesterol, diabetes, and overweight or obesity), and risk among autistic adults may be even higher. Mechanisms underlying the high prevalence of CVD risk factors in autistic people may include known correlates of CVD risk factors in other groups, including high levels of perceived stress, poor sleep quality, and antipsychotic medication use. A sample of 545 autistic adults without intellectual disability aged 18+ were recruited through the Simons Foundation Powering Autism Research, Research Match. Multiple linear regression models examined the association between key independent variables (self-reported perceived stress, sleep quality, and antipsychotic medication use) and CVD risk factors, controlling for demographic variables (age, sex assigned at birth, race, low-income status, autistic traits). Overall, 73.2% of autistic adults in our sample had an overweight/obesity classification, 45.3% had high cholesterol, 39.4% had high blood pressure, and 10.3% had diabetes. Older age, male sex assigned at birth, and poorer sleep quality were associated with a higher number of CVD risk factors. Using antipsychotic medications was associated with an increased likelihood of having diabetes. Poorer sleep quality was associated with an increased likelihood of having an overweight/obesity classification. Self-reported CVD risk factors are highly prevalent among autistic adults. Both improving sleep quality and closely monitoring CVD risk factors among autistic adults who use antipsychotic medications have the potential to reduce risk for CVD.

Birth order and health events attributable to alcohol and narcotics in midlife: A 25-year follow-up of a national Swedish birth cohort and their siblings.

Higher birth order is associated with increased risks of adverse health outcomes attributable to alcohol or narcotics in adolescence, but it remains unclear whether these observed birth order effects are also present in midlife. Drawing on a national Swedish cohort born in 1953 and their siblings, we estimate associations between birth order and alcohol- or narcotics-attributable hospitalization or death with a 25-year follow-up to assess whether birth order differences are observed during this life course period. Health events attributable to alcohol or narcotics use were identified using the Swedish National Patient and Cause of Death registers, respectively. We apply Cox proportional hazards models to estimate average birth order differences in hazards for alcohol- or narcotics-attributable hospitalization or death between ages 30 and 55. We estimate birth order differences between families, and use two fixed-effects approaches to estimate birth order differences within families and within families of the same type. Bivariate results indicate increased hazards for both outcomes with higher birth order; however, these results are no longer observed after adjustment for familial background characteristics in all models. Our results thereby show limited evidence for birth order differences in midlife. This study highlights that shared factors within the family of origin may be stronger predictors of adverse health outcomes attributable to substance use among siblings during this life course period. Future research should disentangle the contributions of the social environment within the family of origin for adverse health outcomes attributable to alcohol or narcotics among siblings.

A model to evaluate interprofessional training effectiveness: feasibility and five-year outcomes of a multi-site prospective cohort study.

OBJECTIVES: Assessing the impact of interdisciplinary training programs is highly desirable and needed. However, there are currently no established methods to prospectively assess long-term outcomes of trainees compared to individuals who did not receive training. Our objective was to test the feasibility of a longitudinal, prospective cohort design to evaluate training outcomes, and to use this method to evaluate Leadership Education in Neurodevelopmental Disabilities and Related Disorders (LEND) training outcomes. METHODS: LEND trainees were matched to comparison peers and followed annually for up to five years using a pre-existing outcomes survey. We assessed study feasibility using recruitment and retention data over five years. We then looked at preliminary efficacy of LEND training in LEND trainees compared to comparison peers using the pre-existing outcomes survey. RESULTS: Overall, 68.3% of eligible trainees participated in the Outcomes Study across five years, and 66.0% were matched to comparison peers. On average, 84.4% of LEND trainees and 79.9% of comparison peers completed the outcomes survey annually. Attrition was low at 0.9% for LEND trainees and 2.6% for comparison peers over five years. LEND training demonstrated preliminary efficacy in promoting leadership development: LEND trainees began their careers engaged in more leadership activities than comparison peers, and the rate of growth in their participation in leadership activities was greater. CONCLUSIONS: The design used to assess outcomes is a feasible approach that can be widely used to assess training program outcomes. Analyses suggest that LEND training is efficacious in increasing involvement in leadership activities over time after graduation.

Fertility rates in women with intellectual and developmental disabilities in Wisconsin Medicaid.

BACKGROUND: Women with intellectual and developmental disabilities (IDD) face stigma and inequity surrounding opportunity and care during pregnancy. Little work has quantified fertility rates among women with IDD which prevents proper allocation of care. OBJECTIVE: Our objective was to cross-sectionally describe fertility patterns among women with and without intellectual and developmental disabilities (IDD) in 10-years of Medicaid-linked birth records. STUDY DESIGN: Our sample was Medicaid-enrolled women with live births in Wisconsin from 2007 to 2016. We identified IDD through prepregnancy Medicaid claims. We calculated general fertility-, age-specific-, and the total fertility-rates and 95% confidence intervals (95% CI) for women with and without IDD and generated estimates by year and IDD-type. RESULTS: General fertility rate in women with IDD was 62.1 births per 1000 women with IDD (95% CI 59.2, 64.9 per 1000 women) and 77.1 per 1000 for women without IDD (95% CI: 76.8, 77.4 per 1000 women). General fertility rate ratio was 0.81 (95% CI: 0.7, 0.9). Total fertility was 1.80 births per woman with IDD and 2.05 births per woman without IDD (rate ratio: 0.89 95% CI: 0.5, 1.5). Peak fertility occurred later for autistic women (30-34 years), compared with women with other IDD (20-24 years). CONCLUSION: In Wisconsin Medicaid, general fertility rate of women with IDD was lower than women without IDD: the difference was attenuated when accounting for differing age distributions. Results highlight the disparities women with IDD face and the importance of allocating pregnancy care within Medicaid.

The Efficacy of a Forgiveness Bibliotherapy: A Randomized Controlled Trial with Nursing Students.

Purpose of study: The need for forgiveness education for nursing self-care and forgiveness facilitation has risen. Therefore, the present pilot study tested the efficacy of an 8-week forgiveness bibliotherapy with a small number of undergraduate nursing students. Design of study: Matched pairs of nursing students were randomly assigned to either the experimental group or no-contact control group. The experimental group, using 8 keys to forgiveness by R. Enright (2015) as the treatment manual, read one chapter a week for 8 weeks and provided weekly reflections. Forgiveness and forgiveness-related outcome measures were administered at pretest, posttest, and one-month follow-up. Findings: At the posttest, the experimental group had significantly greater improvement in forgiveness compared to the control group with a large effect size, which was maintained at one month follow-up. There was no other significant difference between the two groups. Within-group comparisons of the experimental group showed improvement in forgiveness, anxiety, depression, and fatigue from pre to post testing periods and forgiveness, anger, anxiety, depression, and fatigue from pre to follow-up testing periods. Conclusion: Use of bibliotherapy may be a cost-effective way to promote the virtue of forgiveness for students in nursing programs.

Zwitterionic Ammonium Sulfonate Polymers: Synthesis and Properties in Fluids.

Polymer zwitterions continue to emerge as useful materials for numerous applications, ranging from hydrophilic and antifouling coatings to electronic materials interfaces. While several polymer zwitterion compositions are now well established, interest in this field of soft materials science has grown rapidly in recent years due to the introduction of new structures that diversify their chemistry and architecture. Nonetheless, at present, the variation of the chemical composition of the anionic and cationic components of zwitterionic structures remains relatively limited to a few primary examples. In this article, the versatility of 4-vinylbenzyl sultone as a precursor to ammonium sulfonate zwitterionic monomers, which are then used in controlled free radical polymerization chemistry to afford "inverted sulfobetaine" polymer zwitterions, is highlighted. An evaluation of the solubility, interfacial activity, and solution configuration of the resultant polymers reveals the dependence of properties on the selection of tertiary amines used for nucleophilic ring-opening of the sultone precursor, as well as useful properties comparisons across different zwitterionic compositions.