Preliminary Validation of Stigma Measures Among Parents of Children Who Are d/Deaf or Hard of Hearing in the United States and Ghana.

OBJECTIVES: Parents are integral to the development and overall well-being of their child. Previous research has studied the emotional effects parenting experiences have on parents. However, parents caring for children with disabilities have unique parenting experiences, filled with both victories and challenges. Parenting a child with disabilities can bring additional responsibilities as parents respond to their child's special needs. Specifically, parents of children who are d/Deaf or hard of hearing (d/DHH) are required to make ongoing life-changing decisions about their child's life, including mode of communication, medical care, and education. Across the world, many adults who are d/DHH experience stigma. However, less is known about the stigma faced by children who are d/DHH and their parents. Measuring the nature and magnitude of stigma-affecting parents of children who are d/DHH could offer insights into how to additionally support these parents. Nonetheless, there is a gap in validated scales to measure stigma among parents of children who are d/DHH. In response, we developed and preliminarily validated five measures of stigma among parents of children who are d/DHH. DESIGN: Measures were developed through a mixed-method process: (1) a scoping literature review, (2) a modified Delphi process consisting of two group discussions (n = 3, n = 4) and two individual discussions with parents of children who are d/DHH from high-income countries (HICs) and low- and middle-income countries (LMICs), (3) cognitive interviews with parents of children who are d/DHH in the United States (U.S.) (n = 5) and Ghana (n = 5), and (4) a pretest of the survey in the U.S. (n = 28) and Ghana (n = 30). Modifications to the measures were made after each stage. This article focuses on evaluating the psychometric performance of the developed measures. Parents were recruited in the U.S. (n = 100) and Ghana (n = 173). Convenience sampling was used in both countries. In Ghana, survey administration was in-person with trained interviewers collecting data on tablets. In the U.S. data were collected online through self-administered surveys. RESULTS: The final five scales measured: (1) parental observation of stigma their child experiences (seven items), (2) parental perceptions of stigma toward their child (eight items), (3) parental secondary experienced stigma (eight items), (4) perceived parental secondary stigma (five items), and (5) parental internalized stigma (seven items). All scales performed strongly and similarly across both country samples. The scales had ordinal αs ranging from 0.864 to 0.960, indicating strong reliability. CONCLUSIONS: This study provides a set of preliminarily validated stigma measures to capture the experience of parents of children who are d/DHH. Measuring stigma among parents is critical to understanding parental mental health, as parental well-being affects the health and development of their child. Furthermore, measuring observed stigma by parents can allow the researcher to gain an understanding of the stigma experienced by children who are d/DHH that they may not be able to communicate. Further studies testing these measures across other countries and with more diverse samples are needed.

Development of Measures for d/Deaf and Hard of Hearing Stigma: Introduction to the Special Supplement on Stigma Measurement Tools.

People who are d/Deaf or hard of hearing (d/DHH) often experience stigma and discrimination in their daily lives. Qualitative research describing their lived experiences has provided useful, in-depth insights into the pervasiveness of stigma. Quantitative measures could facilitate further investigation of the scope of this phenomenon. Thus, under the auspices of the Lancet Commission on Hearing Loss, we developed and preliminarily validated survey measures of different types of stigma related to d/Deafness and hearing loss in the United States (a high-income country) and Ghana (a lower-middle income country). In this introductory article, we first present working definitions of the different types of stigma; an overview of what is known about stigma in the context of hearing loss; and the motivation underlying the development of measures that capture different types of stigma from the perspectives of different key groups. We then describe the mixed-methods exploratory sequential approach used to develop the stigma measures for several key groups: people who are d/DHH, parents of children who are d/DHH, care partners of people who are d/DHH, healthcare providers, and the general population. The subsequent manuscripts in this special supplement of Ear and Hearing describe the psychometric validation of the various stigma scales developed using these methods.

Preliminary Validation of Measures of Experienced, Perceived, and Internalized Stigma Among Adults Who Are d/Deaf or Hard of Hearing in the United States and Ghana.

OBJECTIVES: In this article, we examine the psychometric performance of 3 scales measuring experienced, perceived, and internalized d/Deaf or hard of hearing (d/DHH) stigma among adult (18 and older) populations of individuals who are d/DHH, including those who have been d/DHH since before they developed language (lifelong) and those who became d/DHH after they developed language (acquired) in the United States and Ghana. DESIGN: The preliminary validation study took place in the Greater Accra and Eastern regions of Ghana and across the United States. In the United States, all data were collected online via self-administered surveys in English. In Ghana, trained interviewers who are d/DHH and fluent in Ghanaian Sign Language conducted interviews with participants who are lifelong d/DHH using a video survey. Ghanaian participants with acquired d/DHH status were surveyed by trained hearing interviewers. We calculated polychoric correlation matrices between the measures to remove redundant and unrelated items and used exploratory factor analysis to create the final scales. We also tested the association between the factor scores and a simple summing method for calculating the scale. RESULTS: The study sample included people who have been d/DHH since before they developed language (Ghana: n = 171, United States n = 100) and people who became d/DHH after they developed language (Ghana: n = 174, United States: n = 219). The final experienced, perceived, and internalized scales included six, seven, and five items, respectively. All three scales performed well as unidimensional measures across all four samples. Across the four samples, the experienced, perceived, and internalized stigma scales yielded ordinal αs ranging from 0.725 to 0.947, 0.856 to 0.935, and 0.856 to 0.935, respectively. It would be acceptable to operationalize all stigma scales as sum-of-item scores. CONCLUSIONS: The scales performed well and appear to provide a valid means of measuring different types of stigma among diverse groups of people who are d/DHH. Future work should refine and validate these scales in additional contexts.

Development and Preliminary Validation of Stigma Measures for Care Partners of Persons Who Are d/Deaf or Hard of Hearing.

OBJECTIVES: A great deal of literature documents the significant demands, both physical and psychosocial, that care partners experience when providing care to persons with a range of health conditions. There is, however, far less research available on care partners of adult persons who are d/Deaf or hard of hearing (d/DHH). In response to this gap, the authors developed measures of d/DHH stigma among care partners as part of the work of the Lancet Commission on Hearing Loss' Measures, Models, and Stigma Reduction Subgroup. The measures examined in this article are part of a larger set of parallel measures to enable comparison of stigma measurement across groups. DESIGN: The present study describes the preliminary validation of five stigma scales specifically tailored for use to assess the prevalence and effect of stigma on the care partners of adult people who are d/DHH in the United States. Care partners in this context are defined broadly and can include spouses, partners, adult children, siblings, and friends of persons who are d/DHH. The scales describe the care partner's own assessment of how the person who is d/DHH experiences and perceives stigma as well as the care partner's own internalized, experienced, and perceived stigma as a result of their association with a person who is d/DHH. This latter set of three scales describes secondary stigma, or the stigma a person experiences related to their association with a member of a stigmatized group. Measures were developed through a process that included a literature review, Delphi groups with people who became d/DHH after they developed spoken language, cognitive interviews, and a pretest. An online, self-administered preliminary validation survey was conducted with 151 care partners. RESULTS: Results support the internal reliability of each of the five stigma scales (ordinal α's all greater than 0.9) and that each scale is assessing a single factor. CONCLUSIONS: Additional testing is needed to confirm the validity of these measures. After further validation, they can be used to assess the prevalence and effect of stigma on care partners of persons who are d/DHH and to evaluate the success of interventions developed to address stigma and its effects both on the care partner and the person who is d/DHH and receiving the care.

Preliminary Validation of Hearing Device-Related Stigma Measures in Four United States Populations.

OBJECTIVES: Although hearing devices such as cochlear implants and hearing aids often improve communication, many people who are d/Deaf or hard of hearing (d/DHH) choose not to use them. Hearing device-related stigma, or negative societal beliefs about people who use hearing devices, often drives this decision. Although much research has documented the negative effects of hearing device-related stigma, no widely accepted, validated measure to quantify such stigma across populations currently exists. In this article, we describe the preliminary validation of four distinct but related scales measuring hearing device-related stigma in different populations, including people who use hearing devices and those close to them. DESIGN: We preliminarily validated four measures for quantifying hearing device-related stigma in different populations that were previously developed and refined through a literature review, Delphi interviews, cognitive interviews, and a pretest. We preliminarily validated these measures through self-administered online surveys in a convenience sample in the United States. Among participants who use a hearing device and who either (a) self-identified as being d/DHH before they developed language (lifelong; n = 78) or (b) those who self-identified as having acquired a d/DHH identity after they developed language (acquired n = 71), we validated an anticipated hearing device-related stigma scale (d/DHHS-LE-HDA). We validated three scales that measure perceived hearing device-related stigma observed by parents of children who are d/DHH and who use a hearing device (n = 79) (d/DHHS-P-HDPO), care partners of adults who are d/DHH and use a hearing device (n = 108) (d/DHHS-CP-HDPO), and health care providers (n = 203) (d/DHHS-HCP-HDSH). Exploratory factor analysis assessed the reliability of each measure. RESULTS: Each of the four scales loaded onto one factor. Factor loadings for the eight-item scale measuring anticipated hearing device-related stigma among the two populations with lived experience ranged from 0.635 to 0.910, with an ordinal α of 0.93 in the lifelong d/DHH participants and 0.94 among the acquired d/DHH participants. The six-item scale of perceived stigma observed by parents had item loadings from 0.630 to 0.920 (α = 0.91). The nine-item scale of hearing device-related stigma observed by care partners had item loadings from 0.554 to 0.922 (α = 0.95). The eight-item scale of hearing device-related stigma reported by health care providers had item loadings from 0.647 to 0.941 (α = 0.89). CONCLUSIONS: Preliminary validation results show that the four stigma measures perform well in their respective populations. The anticipated stigma scale performed similarly well for both lifelong d/DHH and acquired d/DHH, which suggests that it could perform well in different contexts. Future research should further validate the scales described here as well as measure hearing device-related stigma in different populations-including people who live in different geographic regions and people using different kinds of hearing devices-and evaluate the success of interventions developed to reduce hearing device-related stigma.

Preliminary Validation of Experienced Ageism Measures With Four Populations in the United States.

OBJECTIVES: Ageism appears widely across the globe and poses an important threat to older people's well-being and health. With respect to hearing health, experiences, perceptions, and fear of ageism can delay the diagnosis of hearing loss, reduce pursuit of hearing care, and fuel reluctance to wear a hearing device. Ageism intertwines with hearing loss stigma, which potentially deepens the negative effects of both; however, little evidence exists to quantify the effects of the intersection of ageism and hearing loss stigma. This lack of data on both hearing loss stigma and ageism, and their intersection, may stem from the lack of validated measures for both. Therefore, as part of a parent study to develop and preliminarily validate d/Deaf and hard of hearing stigma measures, we also adapted and preliminarily validated measures of both experienced and observed ageism. DESIGN: We adapted four ageism measures through a literature review, expert discussions, and cognitive interviews and validated them in the United States through self-administered online surveys with convenience samples of (1) people aged 60 and older who became d/Deaf or hard of hearing (d/DHH) after developing language or in adulthood ("acquired" d/DHH), (2) care partners of people aged 60 or older who are d/DHH (acquired), (3) health care providers, and (4) the general population. For each of the scales, we applied exploratory factor analysis and estimated scale reliability with ordinal α. RESULTS: For the population of persons over age 60 who are d/DHH (acquired) (N = 146), nine social stigma items and four employment discrimination items loaded well onto two separate factors, one which measures social stigma and one which measures employment discrimination. All loadings were >0.7. The two factors were moderately correlated at 0.428. For care partners of people aged 60 or older who are d/DHH (N = 72), nine items loaded well onto a single factor, with loadings between 0.650 and 0.936 and an ordinal α of 0.95. Among the general population (N = 312), 10 items loaded cleanly onto a single factor, with loadings between 0.702 and 0.919 and an ordinal α of 0.96. For the health care providers (N = 203), 11 items loaded well onto a single factor, with loadings between 0.541 and 0.874. For these three populations, each of the single factors measure social stigma. CONCLUSIONS: Ageism threatens the health and wellbeing of older people in both high- and low-income countries. Validated measures of ageism are necessary to understand the relationship between ageism, d/DHH stigma and the well-being of older adults and to design effective ageism-reduction and mitigation interventions. This preliminary validated set of experienced ageism measures offers a starting point for more studies that not only further validate these measures but are larger in scale, occur in more diverse settings, and provide insights into the experience of ageism and its effects on the health and well-being of older adults.

Development and Preliminary Validation of Scales to Measure Enacted, Perceived, and Experienced Hearing Loss Stigma in Health Care Settings.

OBJECTIVES: Qualitative evidence suggests that stigma experienced by people who are d/Deaf and hard of hearing (d/DHH) can reduce willingness to engage with health services. Quantitative evidence remains lacking, however, about how health care providers (HCPs) perceive societal stigma toward people who are d/DHH, how HCPs might enact d/DHH stigma within provider-patient encounters, and what patients who are d/DHH share with providers about those patients' perceptions and experiences of stigma. Such quantitative evidence would allow HCPs to understand if and how stigma influences hearing health decisions made by people who are d/DHH. It could also shape practices to reduce d/DHH stigma within clinical encounters and guide providers in considering stigma as a driving force in their patients' hearing health care decisions. Building that evidence base requires validated quantitative measures. In response, the present study initiated an iterative process toward developing and preliminarily validating HCP self-report measures for different forms of d/DHH stigma. These measures draw upon HCPs' own perspectives, as well as their reports of secondhand information about stigma shared during clinical conversations. We developed and preliminary validated four measures: (1) provider-perceived stigma (HCPs' perceptions of the existence of negative attitudes and stereotypes toward d/DHH individuals in society), (2) provider-enacted stigma (self-reported subtle or indirect acts of stigma HCPs might commit during clinical encounters), (3) secondhand patient-experienced stigma (external acts of stigma reported to HCPs by patients who are d/DHH during clinical encounters), and (4) secondhand patient-perceived stigma (perceptions of negative attitudes and stereotypes reported to HCPs by patients who are d/DHH during clinical encounters). DESIGN: Scale items were extracted from a comprehensive literature review of stigma measures. Question stems and individual items were adapted for HCPs, cognitively tested on 5 HCPs, and pretested with 30 HCPs. The 4 scales were then validated on a sample of primary care providers and hearing care specialists (N = 204) recruited through an online survey. All data were collected in the United States. RESULTS: We conducted an exploratory factor analysis of the four proposed d/DHH stigma HCP stigma scales. Scale items loaded satisfactorily with ordinal alphas ranging between 0.854 and 0.944. CONCLUSIONS: The four measures developed and preliminarily validated in this study can provide opportunities for HCPs to develop a more nuanced understanding of stigma experienced and perceived by their patients who are d/DHH and how that stigma manifests across social contexts, including health care settings. Further, the ability to assess forms of d/DHH stigma in clinical encounters, as well as their association with patient disengagement and resistance to advanced hearing care, could lead to innovative stigma-reduction interventions. Such interventions could then be evaluated using the measures from this article and then applied to clinical practice. We envision these measures being further refined, adapted, and tested for a variety of health care contexts, including primary care settings where hearing difficulties may first be identified and in hearing health care settings where audiologic rehabilitation is initiated.

Differences in elementary-age children's accelerometer - measured physical activity between school and summer: three-year findings from the What's UP (Undermining Prevention) with summer observational cohort study.

BACKGROUND: Among elementary-aged children (5-12yrs), summer vacation is associated with accelerated gains in Body Mass Index (BMI). A key behavioral driver of BMI gain is a lack of physical activity (PA). Previous studies indicate PA decreases during summer, compared to the school year but whether this difference is consistent among boys and girls, across age, and by income status remains unclear. This study examined differences in school and summer movement behaviors in a diverse cohort of children across three years. METHODS: Children (N = 1,203, age range 5-14 years, 48% girls) wore wrist-placed accelerometers for a 14-day wear-period during school (April/May) and summer (July) in 2021 to 2023, for a total of 6 timepoints. Mixed-effects models examined changes in school vs. summer movement behaviors (moderate-to-vigorous physical activity [MVPA], sedentary) for boys and girls, separately, and by age and household income groups (low, middle, and upper based on income-to-poverty ratio). RESULTS: Children provided a total of 35,435 valid days of accelerometry. Overall, boys (+ 9.1 min/day, 95CI 8.1 to 10.2) and girls (+ 6.2 min/day, 95CI 5.4 to 7.0) accumulated more MVPA during school compared to summer. Boys accumulated less time sedentary (-9.9 min/day, 95CI -13.0 to -6.9) during school, while there was no difference in sedentary time (-2.7 min/day, 95CI -5.7 to 0.4) for girls. Different patterns emerged across ages and income groups. Accumulation of MVPA was consistently greater during school compared to summer across ages and income groups. Generally, the difference between school and summer widened with increasing age, except for girls from middle-income households. Accumulation of sedentary time was higher during school for younger children (5-9yrs), whereas for older children (10-14yrs), sedentary time was greater during summer for the middle- and upper-income groups. For boys from low-income households and girls from middle-income households, sedentary time was consistently greater during summer compared to school across ages. CONCLUSIONS: Children are less active and more sedentary during summer compared to school, which may contribute to accelerated BMI gain. However, this differs by biological sex, age, and income. These findings highlight the complex factors influencing movement behaviors between school and summer.

Perceived Impacts of the Expanded Child Tax Credit Cessation Based on Family Income Level.

The 2021 Expanded Child Tax Credit (ECTC) lifted millions of children out of poverty and drastically improved well-being. These impacts were particularly salient for families with lower income among those who received the full ECTC benefit. This study gathered lived experiences on the ECTC cessation and explored differential impacts across income levels to inform discussions around policy restoration. Semi-structured interviews were conducted with parents who had a child (2-12 years) who received the full ECTC. Interviews occurred in May 2022 after the ECTC ended. Changes in financial security and health were assessed. Families were classified as having lower vs. higher income (LI; n=19 vs. HI; n=19) corresponding to household income below vs. above 200% of the Federal Poverty Line. Inductive analysis and constant-comparison methods generated themes on similarities/differences between groups. Results indicated families with LI experienced severe financial constraints and greater negative emotions, after the ECTC ended. Many reduced spending, budgeted, accepted financial support from family/friends, and delayed credit card payments. More families with HI reported the ECTC provided a financial buffer placingthem in a more secure position to meet current needs. Both groups reported negative impacts from inflation coinciding with the ECTC ending and minimal changes in their income tax return. Families overwhelmingly reported a desire for the ECTC to continue, despite experiencing different degrees of impact due to these financial changes. Families with LI faced greater hardships after the ECTC ended. Differences across income highlight the need for ECTC restoration, particularly for families in severely under-resourced circumstances.

Comprehensive Target Engagement by the EZH2 Inhibitor Tulmimetostat Allows for Targeting of ARID1A Mutant Cancers.

Recurrent somatic mutations in the BRG1/BRM-associated factor (BAF) chromatin remodeling complex subunit ARID1A occur frequently in advanced urothelial, endometrial, and ovarian clear cell carcinomas, creating an alternative chromatin state that may be exploited therapeutically. The histone methyltransferase EZH2 has been previously identified as targetable vulnerability in the context of ARID1A mutations. In this study, we describe the discovery of tulmimetostat, an orally available, clinical stage EZH2 inhibitor, and it elucidates the aspects of its application potential in ARID1A mutant tumors. Tulmimetostat administration achieved efficacy in multiple ARID1A mutant bladder, ovarian, and endometrial tumor models and improved cisplatin response in chemotherapy-resistant models. Consistent with its comprehensive and durable level of target coverage, tulmimetostat demonstrated greater efficacy than other PRC2-targeted inhibitors at comparable or lower exposures in a bladder cancer xenograft mouse model. Tulmimetostat mediated extensive changes in gene expression, in addition to a profound reduction in global H3K27me3 levels in tumors. Phase I clinical pharmacokinetic and pharmacodynamic data indicated that tulmimetostat exhibits durable exposure and profound target engagement. Importantly, a tulmimetostat controlled gene expression signature identified in whole blood from a cohort of 32 patients with cancer correlated with tulmimetostat exposure, representing a pharmacodynamic marker for the assessment of target coverage for PRC2-targeted agents in the clinic. Collectively, these data suggest that tulmimetostat has the potential to achieve clinical benefit in solid tumors as a monotherapy but also in combination with chemotherapeutic agents, and may be beneficial in various indications with recurrent ARID1A mutations. Significance: The EZH2 inhibitor tulmimetostat achieves comprehensive target inhibition in ARID1A mutant solid tumor models and cancer patients that can be assessed with a pharmacodynamic gene signature in peripheral blood.

Sources of Stress and Coping Strategies Among Urban African American Adolescents: A Qualitative Study of Child and Caregiver Perspectives.

Early adolescence is a critical point for intervention to protect against negative consequences of stress on the developing brain. This study aimed to gather perspectives on stress from adolescents and their caregivers living in under-resourced Baltimore City neighborhoods. Nine African American adolescents and their caregivers (n = 18 total) participated in qualitative interviews exploring neighborhood environments, sources of stress, and coping behaviors. Neighborhood social cohesion was described as a strength of participants' communities, despite concerns about neighborhood safety. Caregivers were highly aware of their child's stressors and coping behaviors. School-related pressure was a prevalent source of stress emphasized by adolescents, along with social stress due to disrupted routines during the COVID-19 pandemic. Adolescents described frequent use of electronics to cope with stress, as well as self-care and relaxation techniques. Themes identified from these data can be used to inform future adolescent stress-reduction interventions and stress-prevention efforts in this priority population.

Remote-Use Applications of the Amyotrophic Lateral Sclerosis Functional Rating Scale-Revised Clinical Outcome Assessment Tool: A Scoping Review.

OBJECTIVES: In 2021, the US Congress passed the Accelerating Access to Critical Therapies for Amyotrophic Lateral Sclerosis Act. The law encourages development of "tools, methods, and processes" to improve clinical trial efficiency for neurodegenerative diseases. The Amyotrophic Lateral Sclerosis Functional Rating Scale-Revised (ALSFRS-R) is an outcome measure administered during in-person clinic visits and used to support investigational studies for persons living with amyotrophic lateral sclerosis. Availability of a standardized, remote-use version of the ALSFRS-R may promote more inclusive, decentralized clinical trials. A scoping literature review was conducted to identify existing remote-use ALSFRS-R tools, synthesize feasibility and comparability of administration modes, and summarize barriers and facilitators to inform development of a standardized remote-use ALSFRS-R tool. METHODS: Included studies reported comparisons between remote and in-person, clinician-reported, ALSFRS-R administration and were published in English (2002-2022). References were identified by searching peer-reviewed and gray literature. Twelve studies met the inclusion criteria and were analyzed to compare findings within and across modes of administration. RESULTS: Remote modes of ALSFRS-R administration were categorized into 4 nonmutually exclusive categories: telephone (n = 6), videoconferencing (n = 3), computer or online platforms (n = 3), mobile applications and wearables (n = 2), and 1 unspecified telemedicine modality (n = 1). Studies comparing in-person to telephone or videoconferencing administration reported high ALSFRS-R rating correlations and nonsignificant between-mode differences. CONCLUSIONS: There is insufficient information in the ALSFRS-R literature to support remote clinician administration for collecting high quality data. Future research should engage persons living with amyotrophic lateral sclerosis, care partners, and providers to develop a standardized remote-use ALSFRS-R version.

Jerks are Useful: Extracting pulse rate from wrist-placed accelerometry jerk during sleep in children.

STUDY OBJECTIVES: Evaluate wrist-placed accelerometry predicted heartrate compared to electrocardiogram (ECG) heartrate in children during sleep. METHODS: Children (n=82, 61% male, 43.9% Black) wore a wrist-placed Apple Watch Series 7 (AWS7) and ActiGraph GT9X during a polysomnogram. 3-Axis accelerometry data was extracted from AWS7 and the GT9X. Accelerometry heartrate estimates were derived from jerk (the rate of acceleration change), computed using the peak magnitude frequency in short time Fourier Transforms of Hilbert transformed jerk computed from acceleration magnitude. Heartrates from ECG traces were estimated from R-R intervals using R-pulse detection. Lin's Concordance Correlation Coefficient (CCC), mean absolute error (MAE) and mean absolute percent error (MAPE) assessed agreement with ECG estimated heartrate. Secondary analyses explored agreement by polysomnography sleep stage and a signal quality metric. RESULTS: The developed scripts are available on Github. For the GT9X, CCC was poor at -0.11 and MAE and MAPE were high at 16.8 (SD=14.2) beats/minute and 20.4% (SD=18.5%). For AWS7, CCC was moderate at 0.61 while MAE and MAPE were lower at 6.4 (SD=9.9) beats/minute and 7.3% (SD=10.3%). Accelerometry estimated heartrate for AWS7 was more closely related to ECG heartrate during N2, N3 and REM sleep than lights on, wake, and N1 and when signal quality was high. These patterns were not evident for the GT9X. CONCLUSIONS: Raw accelerometry data extracted from AWS7, but not the GT9X, can be used to estimate heartrate in children while they sleep. Future work is needed to explore the sources (i.e., hardware, software, etc.) of the GT9X's poor performance.

The Day-Level Association Between Child Care Attendance and 24-Hour Movement Behaviors in Preschool-Aged Children.

BACKGROUND: Twenty-four hour movement behaviors (ie, physical activity [PA], screen time [ST], and sleep) are associated with children's health outcomes. Identifying day-level contextual factors, such as child care, that positively influence children's movement behaviors may help identify potential intervention targets, like improving access to child care programs. This study aimed to examine the between- and within-person effects of child care on preschoolers' 24-hour movement behaviors. METHODS: Children (N = 74, 4.7 [0.9] y, 48.9% girls, 63.3% White) wore an Axivity AX3 accelerometer on their nondominant wrist 24 hours per day for 14 days to measure PA and sleep. Parents completed surveys each night about their child's ST and child care attendance that day. Linear mixed effects models predicted day-level 24-hour movement behaviors from hours spent in child care. RESULTS: Children spent an average of 5.0 (2.9) hours per day in child care. For every additional hour of child care above their average, children had 0.3 hours (95% CI, -0.3 to -0.2) less ST that day. Between-person effects showed that compared with children who attended fewer overall hours of child care, children who attended more hours had less overall ST (B = -0.2 h; 95% CI, -0.4 to 0.0). Child care was not significantly associated with PA or sleep. CONCLUSIONS: Child care attendance was not associated with 24-hour PA or sleep; however, it was associated with less ST. More research utilizing objective measures of ST and more robust measures of daily schedules or structure is necessary to better understand how existing infrastructure may influence preschool-aged children's 24-hour movement behaviors. In addition, future research should consider how access to child care may influence child care attendance.

Comparison of raw accelerometry data from ActiGraph, Apple Watch, Garmin, and Fitbit using a mechanical shaker table.

The purpose of this study was to evaluate the reliability and validity of the raw accelerometry output from research-grade and consumer wearable devices compared to accelerations produced by a mechanical shaker table. Raw accelerometry data from a total of 40 devices (i.e., n = 10 ActiGraph wGT3X-BT, n = 10 Apple Watch Series 7, n = 10 Garmin Vivoactive 4S, and n = 10 Fitbit Sense) were compared to reference accelerations produced by an orbital shaker table at speeds ranging from 0.6 Hz (4.4 milligravity-mg) to 3.2 Hz (124.7mg). Two-way random effects absolute intraclass correlation coefficients (ICC) tested inter-device reliability. Pearson product moment, Lin's concordance correlation coefficient (CCC), absolute error, mean bias, and equivalence testing were calculated to assess the validity between the raw estimates from the devices and the reference metric. Estimates from Apple, ActiGraph, Garmin, and Fitbit were reliable, with ICCs = 0.99, 0.97, 0.88, and 0.88, respectively. Estimates from ActiGraph, Apple, and Fitbit devices exhibited excellent concordance with the reference CCCs = 0.88, 0.83, and 0.85, respectively, while estimates from Garmin exhibited moderate concordance CCC = 0.59 based on the mean aggregation method. ActiGraph, Apple, and Fitbit produced similar absolute errors = 16.9mg, 21.6mg, and 22.0mg, respectively, while Garmin produced higher absolute error = 32.5mg compared to the reference. ActiGraph produced the lowest mean bias 0.0mg (95%CI = -40.0, 41.0). Equivalence testing revealed raw accelerometry data from all devices were not statistically significantly within the equivalence bounds of the shaker speed. Findings from this study provide evidence that raw accelerometry data from Apple, Garmin, and Fitbit devices can be used to reliably estimate movement; however, no estimates were statistically significantly equivalent to the reference. Future studies could explore device-agnostic and harmonization methods for estimating physical activity using the raw accelerometry signals from the consumer wearables studied herein.

Prioritize "Food is Medicine" initiatives in the 2024 Farm Bill for human and planetary health.

The Society of Behavioral Medicine (SBM) supports increased funding for policies in the 2024 Farm Bill that align with a Food is Medicine (FIM) framework and address multiple dimensions of human and planetary health.

The Society of Behavioral Medicine (SBM) supports funding for policies in 2024 Farm Bill that align with a Food is Medicine (FIM) framework and address multiple dimensions of human and planetary health. Recommendations include increasing funding for produce prescription programs, establishing systems to align federal- and state-funded initiatives, and the allocation of funding for financial incentives when sustainable agricultural practices are utilized in government-funded local and regional farm-to-institution programs.

A comparison of perceived barriers to optimal child sleep among families with low and high income.

OBJECTIVE: Families with low-income experience suboptimal sleep compared to families with higher-income. Unique drivers likely contribute to these disparities, along with factors that universally impede sleep patterns, despite income level. To inform intervention tailoring, this mixed-methods study gathered parent's perceptions about child sleep challenges to identify similarities/differences in families with lower-income and higher-income. METHODS: Parents who experienced difficulties with their child (ages 2-4years) sleep were categorized as lower income (n = 15; $30,000 ± 17,845/year) or higher income (n = 15; $142,400 ± 61,373/year). Parents completed a survey and semistructured interview to explore barriers and facilitators for child sleep. Two coders independently evaluated transcripts for lower-income and higher-income groups using inductive analyses. Constant-comparison methods generated themes and characterized similarities/differences by income group. RESULTS: Groups were similar in themes related to diverse bedtime routines, nighttime struggles with child sleep, parent strategies to reduce night wakings, parent effort to provide a sleep-promoting environment, and presence of electronic rules. Groups differed in themes related to factors influencing routine setting (eg, lower income: external factors influencing routines; higher income: personal attributes for structure), parent appraisal of child sleep (eg, higher income: ambivalence; lower income: mostly negative appraisal), nap timing and duration (eg, lower income: longer naps), and strategy utilization and pursuit of resources (eg, higher income: more parents tried various strategies and accessed online/print resources). CONCLUSIONS: Parents experienced many similar barriers to child sleep, with a few distinct differences by income group. These findings can inform future intervention components for all families, as well as customized components to address the unique needs of families across income levels.

POSITION STATEMENT: Pass the RESTORE (Re-entry Support Through Opportunities for Resources and Essentials) Act.

Under the Personal Responsibility and Work Opportunity Reconciliation Act (PRWORA), current federal policy mandates a lifetime ban for individuals with a past felony drug conviction from receiving Supplemental Nutrition Assistance Program (SNAP) and Temporary Assistance for Needy Families (TANF) benefits. Denying nutritional and financial assistance to individuals with a past felony conviction will widen existing structural health inequities, set back individuals' successful re-entry into society, and contribute to recidivism and poorer health outcomes. Therefore, the Society of Behavioral Medicine supports the RESTORE ACT (Re-Entry Support Through Opportunities for Resources and Essentials Act), which would repeal the lifetime ban on receiving SNAP and TANF benefits for individuals convicted of a drug felony.

Current US law bans people who have been convicted of felony drug crime from participating in nutritional and financial assistance programs (i.e. Supplemental Nutrition Assistance Program [SNAP] and Temporary Assistance for Needy Families [TANF]). By not allowing people who have been convicted of a drug felony to access these programs, this law risks worsening health outcomes and perpetuating existing health disparities. The Society of Behavioral Medicine supports the RESTORE Act (Re-Entry Support Through Opportunities for Resources and Essentials Act), which would end the federal ban and allow all income-eligible people to access SNAP and TANF benefits.

A Device Agnostic Approach to Predict Children's Activity from Consumer Wearable Accelerometer Data: A Proof-of-Concept Study.

INTRODUCTION: This study examined the potential of a device agnostic approach for predicting physical activity from consumer wearable accelerometry compared with a research-grade accelerometry. METHODS: Seventy-five 5- to 12-year-olds (58% male, 63% White) participated in a 60-min protocol. Children wore wrist-placed consumer wearables (Apple Watch Series 7 and Garmin Vivoactive 4) and a research-grade device (ActiGraph GT9X) concurrently with an indirect calorimeter (COSMED K5). Activity intensities (i.e., inactive, light, moderate-to-vigorous physical activity) were estimated via indirect calorimetry (criterion), and the Hildebrand thresholds were applied to the raw accelerometer data from the consumer wearables and research-grade device. Epoch-by-epoch (e.g., weighted sensitivity, specificity) and discrepancy (e.g., mean bias, absolute error) analyses evaluated agreement between accelerometry-derived and criterion estimates. Equivalence testing evaluated the equivalence of estimates produced by the consumer wearables and ActiGraph. RESULTS: Estimates produced by the raw accelerometry data from ActiGraph, Apple, and Garmin produced similar criterion agreement with weighted sensitivity = 68.2% (95% confidence interval (CI), 67.1%-69.3%), 73.0% (95% CI, 71.8%-74.3%), and 66.6% (95% CI, 65.7%-67.5%), respectively, and weighted specificity = 84.4% (95% CI, 83.6%-85.2%), 82.0% (95% CI, 80.6%-83.4%), and 75.3% (95% CI, 74.7%-75.9%), respectively. Apple Watch produced the lowest mean bias (inactive, -4.0 ± 4.5; light activity, 2.1 ± 4.0) and absolute error (inactive, 4.9 ± 3.4; light activity, 3.6 ± 2.7) for inactive and light physical activity minutes. For moderate-to-vigorous physical activity, ActiGraph produced the lowest mean bias (1.0 ± 2.9) and absolute error (2.8 ± 2.4). No ActiGraph and consumer wearable device estimates were statistically significantly equivalent. CONCLUSIONS: Raw accelerometry estimated inactive and light activity from wrist-placed consumer wearables performed similarly to, if not better than, a research-grade device, when compared with indirect calorimetry. This proof-of-concept study highlights the potential of device-agnostic methods for quantifying physical activity intensity via consumer wearables.

Understanding Accelerated Summer Body Mass Index Gain by Tracking Changes in Children's Height, Weight, and Body Mass Index Throughout the Year.

Background: Drivers of summer body mass index (BMI) gain in children remain unclear. The Circadian and Circannual Rhythm Model (CCRM) posits summer BMI gain is biologically driven, while the Structured Days Hypothesis (SDH) proposes it is driven by reduced structure. Objectives: Identify the mechanisms driving children's seasonal BMI gain through the CCRM and SDH. Methods: Children's (N = 147, mean age = 8.2 years) height and weight were measured monthly during the school year, and once in summer (July-August). BMI z-score (zBMI) was calculated using CDC growth charts. Behaviors were measured once per season. Mixed methods regression estimated monthly percent change in children's height (%HΔ), weight (%WΔ), and monthly zBMI for school year vs. summer vacation, seasonally, and during school months with no breaks vs. school months with a break ≥1 week. Results: School year vs. summer vacation analyses showed accelerations in children's %WΔ (Δ = 0.9, Standard Error (SE) = 0.1 vs. Δ = 1.4, SE = 0.1) and zBMI (Δ = -0.01, SE = 0.01 vs. Δ = 0.04, SE = 0.3) during summer vacation, but %HΔ remained relatively constant during summer vacation compared with school (Δ = 0.3, SE = 0.0 vs. Δ = 0.4, SE = 0.1). Seasonal analyses showed summer had the greatest %WΔ (Δ = 1.8, SE = 0.4) and zBMI change (Δ = 0.05, SE = 0.03) while %HΔ was relatively constant across seasons. Compared with school months without a break, months with a break showed higher %WΔ (Δ = 0.7, SE = 0.1 vs. Δ = 1.6, SE = 0.2) and zBMI change (Δ = -0.03, SE = 0.01 vs. Δ = 0.04, SE = 0.01), but %HΔ was constant (Δ = 0.4, SE = 0.0 vs. Δ = 0.3, SE = 0.1). Fluctuations in sleep timing and screen time may explain these changes. Conclusions: Evidence for both the CCRM and SDH was identified but the SDH may more fully explain BMI gain. Interventions targeting consistent sleep and reduced screen time during breaks from school may be warranted no matter the season.