Macroevolution of protective coloration across caterpillars reflects relationships with host plants.

A critical function of animal coloration is avoiding attack, either by warning predators or reducing detectability. Evolution of these divergent strategies may depend on prey palatability and apparency to predators: conspicuous coloration may be favoured if species are distasteful, or habitats make hiding difficult; by contrast, camouflage may be effective if prey lack defences or environments are visually complex. For insect herbivores, host plants provide both chemical defence and the background against which they are detected or obscured; thus, plant traits may be key to coloration in these foundational terrestrial organisms. We use 1808 species of larval Lepidoptera to explore macroevolution of protective coloration strategy. We find that colour and pattern evolve jointly in caterpillars, similar to an array of species across the animal kingdom, while individual elements of coloration evolve closely with diet ecology. Consistent with key tenets of plant defence and plant-herbivore coevolutionary theory, conspicuous colours are associated with herbaceous host plants-thought to be defended by toxins-while camouflage colours and patterns are associated with woody plants and grasses. Contrary to theory, dietary specialization is not associated with conspicuous coloration. Our results add valuable insights into the evolutionary forces shaping colour and pattern in nature.

Lexical inferencing as a generation effect for foreign language vocabulary learning.

Prior research suggests that second language (L2) vocabulary learning often occurs through lexical inferencing (translations based on context), but there has been less emphasis on how lexical inferencing compares with other methods of L2 word learning. The present study compared lexical inferencing to simply studying word lists for L2 learning. A secondary goal was to determine whether any effect of inferencing is mediated by the generation effect of memory, a phenomenon wherein generated information (inferencing) is remembered better than obtained information (reading). Across four experiments, participants read English sentences with embedded Swahili words and were asked either to infer the word meaning using context or were provided with translations before reading the sentence (reading condition). In contrast to our initial hypotheses, the inference condition resulted in lower rates of retention compared with the reading condition. In addition, the data suggest a number of differences between lexical inferencing and the generation effect, that argue against the proposal that lexical inferencing operates as a type of generation effect.

Technology caregiver intervention for Alzheimer's disease (I-CARE): Feasibility and preliminary efficacy of Brain CareNotes.

BACKGROUND: The primary aim of the current pilot study was to examine enrollment rate, data completion, usability, acceptance and use of a mobile telehealth application, Brain CareNotes. A secondary aim was to estimate the application's effect in reducing caregiver burden and behavioral and psychological symptoms related to dementia (BPSD). METHODS: Patient-caregiver dyads (n = 53) were recruited and randomized to intervention and control groups. Assessment of usability, acceptance, BPSD symptoms, and caregiver burden were collected at baseline, 3- and 6-month follow-up. RESULTS: The enrollment rate was acceptable despite pandemic related challenges (53/60 target recruitment sample). Among randomized individuals, there was a retention rate of 85% and data completion was attained for 81.5% of those allocated to usual care and 88.5% of those allocated to Brain CareNotes. Mean caregiver-reported app usability at 6 months was 72.5 (IQR 70.0-90.0) on the System Usability Scale-considered "Good to Excellent"-and user acceptance was reasonable as indicated by 85%-90% of caregivers reporting they would intend to use the app to some degree in the next 6 months, if able. Regarding intervention effect, although differences in outcome measures between the groups were not statistically significant, compared to baseline, we found a reduction of caregiver burden (NPI-Caregiver Distress) of 1.0 at 3 months and 0.7 at 6 months for those in the intervention group. BPSD (NPI Total Score) was also reduced from baseline by 4.0 at 3 months and by 0.5 at 6 months. CONCLUSIONS: Brain CareNotes is a highly scalable, usable and acceptable mobile caregiver intervention. Future studies should focus on testing Brain CareNotes on a larger sample size to examine efficacy of reducing caregiver burden and BPSD.

Ecological Momentary Assessment of Midlife Adults' Daily Stress: Protocol for the Stress Reports in Variable Environments (STRIVE) App Study.

BACKGROUND: Daily stressors are associated with cognitive decline and increased risk of heart disease, depression, and other debilitating chronic illnesses in midlife adults. Daily stressors tend to occur at home or at work and are more frequent in urban versus rural settings. Conversely, spending time in natural environments such as parks or forests, or even viewing nature-themed images in a lab setting, is associated with lower levels of perceived stress and is hypothesized to be a strong stress "buffer," reducing perceived stress even after leaving the natural setting. However, many studies of daily stress have not captured environmental contexts and relied on end-of-day recall instead of in-the-moment data capture. With new technology, these limitations can be addressed to enhance knowledge of the daily stress experience. OBJECTIVE: We propose to use our novel custom-built Stress Reports in Variable Environments (STRIVE) ecological momentary assessment mobile phone app to measure the experience of daily stress of midlife adults in free-living conditions. Using our app to capture data in real time will allow us to determine (1) where and when daily stress occurs for midlife adults, (2) whether midlife adults' daily stressors are linked to certain elements of the built and natural environment, and (3) how ecological momentary assessment measurement of daily stress is similar to and different from a modified version of the popular Daily Inventory of Stressful Events measurement tool that captures end-of-day stress reports (used in the Midlife in the United States [MIDUS] survey). METHODS: We will enroll a total of 150 midlife adults living in greater Indianapolis, Indiana, in this study on a rolling basis for 3-week periods. As those in underrepresented minority groups and low-income areas have previously been found to experience greater levels of stress, we will use stratified sampling to ensure that half of our study sample is composed of underrepresented minorities (eg, Black, American Indian, Hispanic, or Native Pacific Islanders) and approximately one-third of our sample falls within low-, middle-, and high-income brackets. RESULTS: This project is funded by the National Institute on Aging from December 2022 to November 2024. Participant enrollment began in August 2023 and is expected to finish in July 2024. Data will be spatiotemporally analyzed to determine where and when stress occurs for midlife adults. Pictures of stressful environments will be qualitatively analyzed to determine the common elements of stressful environments. Data collected by the STRIVE app will be compared with retrospective Daily Inventory of Stressful Events data. CONCLUSIONS: Completing this study will expand our understanding of midlife adults' experience of stress in free-living conditions and pave the way for data-driven individual and community-based intervention designs to promote health and well-being in midlife adults. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/51845.

Using machine learning to understand age and gender classification based on infant temperament.

Age and gender differences are prominent in the temperament literature, with the former particularly salient in infancy and the latter noted as early as the first year of life. This study represents a meta-analysis utilizing Infant Behavior Questionnaire-Revised (IBQ-R) data collected across multiple laboratories (N = 4438) to overcome limitations of smaller samples in elucidating links among temperament, age, and gender in early childhood. Algorithmic modeling techniques were leveraged to discern the extent to which the 14 IBQ-R subscale scores accurately classified participating children as boys (n = 2,298) and girls (n = 2,093), and into three age groups: youngest (< 24 weeks; n = 1,102), mid-range (24 to 48 weeks; n = 2,557), and oldest (> 48 weeks; n = 779). Additionally, simultaneous classification into age and gender categories was performed, providing an opportunity to consider the extent to which gender differences in temperament are informed by infant age. Results indicated that overall age group classification was more accurate than child gender models, suggesting that age-related changes are more salient than gender differences in early childhood with respect to temperament attributes. However, gender-based classification was superior in the oldest age group, suggesting temperament differences between boys and girls are accentuated with development. Fear emerged as the subscale contributing to accurate classifications most notably overall. This study leads infancy research and meta-analytic investigations more broadly in a new direction as a methodological demonstration, and also provides most optimal comparative data for the IBQ-R based on the largest and most representative dataset to date.

Expanding the Curriculum in a School of Public Health.

Public health education has long been concentrated in a core set of public health disciplines such as epidemiology, biostatistics, and environmental health. Despite leaps forward in our understanding of the myriad influences on public health, little has changed in the organization of our educational systems. One issue brought to the forefront of public consciousness by the COVID-19 pandemic is the importance of leisure experiences, such as nature walks, to mental and physical well-being. In this descriptive best practice article, we discuss our approach to expanding the notion of a school of public health and provide examples of how disciplines and subjects outside of the "norms" of public health education, including leisure studies, can help better prepare students for their future in the field. Leisure studies is just one of many subject areas that can add value to public health pedagogy, and we envision many other subject areas and departments integrating into schools of public health in the future.