Including Interaction Effects Research Articles

The association between adult asthma in the United States and dietary total energy intake: a retrospective cross-sectional analysis from NHANES

BackgroundEpidemiological research links asthma progression to dietary nonallergic factors, particularly high-calorie intake. However, evidence supporting the relationship with total dietary calorie consumption remains scarce.ObjectiveThis study aimed to explore the potential correlation between asthma occurrence and total dietary energy intake.MethodsA retrospective cross-sectional study of 21,354 US adults collected comprehensive participant data, including demographics, blood parameters, fatty acids, zinc, fiber intake, and asthma outcomes. Statistical analyses included interaction effects analysis, smooth curve fitting, and logistic regression.ResultsOf 21,354 participants, 14.77% self-reported asthma diagnosis. After adjusting for confounders, odds ratios (OR) for asthma decreased with higher energy intake: Q2 (OR = 0.77, 95% CI: 0.69–0.86, p < .001), Q3 (OR = 0.66, 95% CI: 0.59–0.75, p < .001), and Q4 (OR = 0.61, 95% CI: 0.53–0.69, p < .001) compared to Q1 (< 17.73 kcal/kg/day). A non-linear (L-shaped) association between energy intake and asthma was observed (p < .001), with a critical threshold around 24 kcal/kg/day, supported by subgroup and sensitivity analyses.ConclusionThis study reveals an L-shaped trend between total energy intake and asthma in US adults, with a significant threshold at approximately 24 kcal/kg/day.

Depressive symptoms across the retirement transition in men and women: associations with emotion regulation, adjustment difficulties and work centrality

BackgroundRetirement is a major life event and factors driving depression in the retirement transition might differ in men and women. The aim was to prospectively study depressive symptoms across the retirement transition in men and women and to test associations with emotion regulation strategies (suppression and reappraisal), adjustment difficulties, and work centrality.MethodsThe sample included 527 individuals from the population-based Health, Aging and Retirement Transitions in Sweden (HEARTS) study who were working at baseline and retired during one of the following four annual measurement waves. Participants contributed with a total of 2635 observations across five measurement waves. Depressive symptoms were measured with the Center for Epidemiologic Studies Depression Scale (CES-D); total score was modelled as a function of time to and from retirement. Changes over the retirement transition were analyzed with multilevel growth curve models. Gender differences in associations with emotion regulation, adjustment difficulties and work centrality were examined by including interaction effects with sex.ResultsWe observed a general reduction of depressive symptoms in the early years of retirement in both men and women. Higher suppression was related to higher depression scores while higher cognitive reappraisal was related to lower levels of depressive symptoms. Women more often used cognitive reappraisal, and men more often suppression, but no significant gender interaction in associations with depressive symptoms could be shown. Retirement adjustment difficulties and greater importance of work for self-esteem were related to higher depression scores. Greater meaning of work, on the other hand, was related to lower levels of depressive symptoms, and this association was stronger in men.ConclusionsThere was a general reduction of depression scores in the early years of retirement in both women and men. Findings suggest that basing one’s self-esteem on workplace performance was related to higher levels of depressive symptoms after retirement, while perceiving one’s job as important and meaningful may facilitate better adjustment in terms of lower depression symptom levels, especially in men.

Predicting malaria risk considering vector control interventions under climate change scenarios

Many studies have projected malaria risks with climate change scenarios by modelling one or two environmental variables and without the consideration of malaria control interventions. We aimed to predict the risk of malaria with climate change considering the influence of rainfall, humidity, temperatures, vegetation, and vector control interventions (indoor residual spraying (IRS) and long-lasting insecticidal nets (LLIN)). We used negative binomial models based on weekly malaria data from six facility-based surveillance sites in Uganda from 2010–2018, to estimate associations between malaria, environmental variables and interventions, accounting for the non-linearity of environmental variables. Associations were applied to future climate scenarios to predict malaria distribution using an ensemble of Regional Climate Models under two Representative Concentration Pathways (RCP4.5 and RCP8.5). Predictions including interaction effects between environmental variables and interventions were also explored. The results showed upward trends in the annual malaria cases by 25% to 30% by 2050s in the absence of intervention but there was great variability in the predictions (historical vs RCP 4.5 medians [Min–Max]: 16,785 [9,902–74,382] vs 21,289 [11,796–70,606]). The combination of IRS and LLIN, IRS alone, and LLIN alone would contribute to reducing the malaria burden by 76%, 63% and 35% respectively. Similar conclusions were drawn from the predictions of the models with and without interactions between environmental factors and interventions, suggesting that the interactions have no added value for the predictions. The results highlight the need for maintaining vector control interventions for malaria prevention and control in the context of climate change given the potential public health and economic implications of increasing malaria in Uganda.

Precise Tensor Product Smoothing via Spectral Splines

Tensor product smoothers are frequently used to include interaction effects in multiple nonparametric regression models. Current implementations of tensor product smoothers either require using approximate penalties, such as those typically used in generalized additive models, or costly parameterizations, such as those used in smoothing spline analysis of variance models. In this paper, I propose a computationally efficient and theoretically precise approach for tensor product smoothing. Specifically, I propose a spectral representation of a univariate smoothing spline basis, and I develop an efficient approach for building tensor product smooths from marginal spectral spline representations. The developed theory suggests that current tensor product smoothing methods could be improved by incorporating the proposed tensor product spectral smoothers. Simulation results demonstrate that the proposed approach can outperform popular tensor product smoothing implementations, which supports the theoretical results developed in the paper.

Testing the correct specification of a system of spatial dependence models for stock returns

This paper provides two specification tests for the system of spatial autoregressive model of order m. We derive the theoretical limit distributions and show in a detailed Monte Carlo simulation study that the tests result in reasonable sized testing procedures with large power. In the empirical application, we analyze Euro Stoxx 50 returns in two different time spans, looking for insights how well models with different specifications of the spatial weighting matrices (local, country, industry and country-industry specific dependencies including interaction effects) fit to the data. The analyzes also demonstrate the ability of the tests to detect inaccurate Value-at-Risk forecasts.

Bayesian linear mixed model with multiple random effects for prediction analysis on high-dimensional multi-omics data.

Accurate disease risk prediction is an essential step in the modern quest for precision medicine. While high-dimensional multi-omics data have provided unprecedented data resources for prediction studies, their high-dimensionality and complex inter/intra-relationships have posed significant analytical challenges. We proposed a two-step Bayesian linear mixed model framework (TBLMM) for risk prediction analysis on multi-omics data. TBLMM models the predictive effects from multi-omics data using a hybrid of the sparsity regression and linear mixed model with multiple random effects. It can resemble the shape of the true effect size distributions and accounts for non-linear, including interaction effects, among multi-omics data via kernel fusion. It infers its parameters via a computationally efficient variational Bayes algorithm. Through extensive simulation studies and the prediction analyses on the positron emission tomography imaging outcomes using data obtained from the Alzheimer's Disease Neuroimaging Initiative, we have demonstrated that TBLMM can consistently outperform the existing method in predicting the risk of complex traits. The corresponding R package is available on GitHub (https://github.com/YaluWen/TBLMM).

STRENGTH AND DUCTILITY EVALUATION OF THIN-WALLED STEEL TUBULAR BRIDGE PIERS UNDER CYCLIC LOADING

Numerical simulations are being conducted on the behavior of thin-walled steel tubular bridge piers under cyclic lateral loading in the presence of constant axial compression loads. The effects of cyclic lateral loading on the behavior of the thin-walled steel tubular bridge piers have been evaluated through analysis of the hysteresis curve, envelope curve, stiffness, and strength degradation characteristics, and energy-dissipating capacity, including interaction effects of local buckling and flexural buckling, and post-buckling regimes. This study also compares the numerical analysis with experimental results available in the literature to validate the accuracy of the proposed finite element model. Based on this model, a range of relevant material and structural parameters will be investigated in future work. Numerous numerical specimens will be designed and analyzed, gaining further information about the influence of width-to-thickness ratio, Rt, column slenderness ratio, , material properties of the embedded shell plate, spacing of transverse stiffening ribs of the shell, height, and properties of partially infill concrete, and axial compression load.

The impact of health insurance affiliation and socioeconomic status on cervical cancer survival in Bucaramanga, Colombia

Cervical cancer is still an important cause of death in countries like Colombia. We aimed to determine whether socioeconomic status of residential address (SES) and type of health insurance affiliation (HIA) might be associated with cervical cancer survival among women in Bucaramanga, Colombia. All patients residing in the Bucaramanga Metropolitan Area diagnosed with invasive cervical cancer (ICD-0–3 codes C53.X) between 2008 and 2016 (n = 725) were identified through the population-based cancer registry, with 700 women having follow-up data for >5 years (date of study closure: Dec 31, 2021), yielding an overall 5-year survival estimate (95 % CI) of 56.4 % (52.7 – 60.0 %). KM estimates of 5-year overall survival were obtained to assess differences in cervical cancer survival by SES and HIA. Multivariable Cox-proportional hazards modeling was also conducted, including interaction effects between SES and HIA. Five-year overall survival was lower when comparing low vs. high SES (41.9 % vs 57.9 %, p < 0.0001) and subsidized vs. contributive HIA (45.1 % vs 63.0 %, p < 0.0001). Multivariable Cox modeling showed increased hazard ratios (HR) of death for low vs. high SES (HR = 1.78; 95 % CI = 1.18–2.70) and subsidized vs. contributive HIA (HR = 1.44; 95 % CI = 1.13–1.83). The greatest disparity in HR was among women of low SES affiliated to subsidized HIA (vs. contributive HIA and high SES) (HR=2.53; 95 % CI = 1.62–3.97). Despite Colombia’s universal healthcare system, important disparities in cervical cancer survival by health insurance affiliation and socioeconomic status remain.

Early-life stature, preschool cognitive development, schooling attainment, and cognitive functioning in adulthood: a prospective study in four birth cohorts

Nutrition is important for growth and brain development and therefore cognitive ability. Growth faltering in early childhood, an important indicator of early adversity, is associated with poorer developmental outcomes, some into adulthood, but this association probably reflects early-life deprivation. We aimed to investigate the associations between early-life stature, child IQ, and adult IQ. In this cohort study, we used prospective longitudinal data collected in four birth cohorts from Brazil (born in 1993), Guatemala (born in 1969-77), the Philippines (born in 1983-84), and South Africa (born in 1990). Using multivariable linear models, we estimated the relative contributions of early-life stature, child IQ, and schooling (highest school year completed) to adult IQ, including interaction effects among the early-childhood measures and schooling. We included 2614 individuals in the analysis. Early-life stature was associated with adult IQ (range across eight site-by-sex groups -0·14 to 3·17 IQ points) and schooling (-0·05 to 0·77 years) per height-for-age Z-score. These associations were attenuated when controlling for child IQ (-0·86 to 1·72 for adult IQ and -0·5 to 0·60 for schooling). The association of early-life stature with adult IQ was further attenuated when controlling for schooling (-1·86 to 1·21). Child IQ was associated with adult IQ (range 3·91 to 10·02 points) and schooling (0·25 to 1·30 years) per SD of child IQ in all groups; these associations were unattenuated by the addition of early-life stature to the models. The interaction between schooling and child IQ, but not that between schooling and early-life stature, was positively associated with adult IQ across groups. The observed associations of early-life stature with adult IQ and schooling varied across cohorts and sexes and explained little variance in adult IQ beyond that explained by child IQ. These findings suggest that interventions targeted at growth for health and early development are important. Our results are consistent with the inference that improving long-term cognitive outcomes might require interventions that more specifically target early cognitive ability. Bill & Melinda Gates Foundation.

Examining the differential use of a North American animal poison control call center by veterinarians and the public for dog-related calls.

Tele-triage, a subset of telehealth services, is becoming increasingly common, they offer users the ability to receive credible health advice from licensed professionals in the comfort of their own home. In the field of veterinary medicine, tele-triage services have been employed since the early 2000s, but there has been little examination of how these services are used by callers. The objectives of this study were to explore how the use of an animal poison control center (APCC) tele-triage service varied between veterinarians and the public in terms of toxicant type, animal demographics, availability of veterinary services, as well as seasonal and secular trends. Data regarding dog poisoning events were obtained from the APCC of the American Society for the Prevention of Cruelty to Animals' (ASPCA). We fitted a mixed logistic regression model with random intercepts for county and state and identified associations between caller type and the following: animal characteristics (i.e., age, weight, breed-class), type of toxicant, season, year, and access to veterinary services (i.e., veterinarians per capita in the county of the caller). The model included interaction effects between season and both plant and pesticide toxicants. There was also an interaction between year and access to veterinary care. Further investigations are needed to understand how the novelty of a toxicant and the severity of clinical signs associated with a toxicant predict the type of caller, if pet demographics are associated with the caller based on medical issues or owner attitudes, and how access to veterinary care influences the use of this tele-triage service.

Intersectionality in HR research: challenges and opportunities

PurposeThe purpose of this paper is to review the literature on intersectionality and ascertain its potential for application to human resources (HR) research and practice. Particular attention is paid to its methodological issues involving how best to incorporate intersectionality into research designs, and its data issues involving the “curse of dimensionality” where there are too few observations in most datasets to deal with multiple intersecting categories.Design/methodology/approachThe methodology involves reviewing the literature on intersectionality in its various dimensions: its conceptual underpinnings and meanings; its evolution as a concept; its application in various areas; its relationship to gender-based analysis plus (GBA+); its methodological issues and data requirements; its relationship to theory and qualitative as well as quantitative lines of research; and its potential applicability to research and practice in HR.FindingsIntersectionality deals with how interdependent categories such as race, gender and disability intersect to affect outcomes. It is not how each of these factors has an independent or additive effect; rather, it is how they combine together in an interlocking fashion to have an interactive effect that is different from the sum of their individual effects. This gives rise to methodological and data complications that are outlined. Ways in which these complications have been dealt with in the literature are outlined, including interaction effects, separate equations for key groups, reducing data requirements, qualitative analysis and machine learning with Big Data.Research limitations/implicationsIntersectionality has not been dealt with in HR research or practice. In other fields, it tends to be dealt with only in a conceptual/theoretical fashion or qualitatively, likely reflecting the difficulties of applying it to quantitative research.Practical implicationsThe wide gap between the theoretical concept of intersectionality and its practical application for purposes of prediction as well as causal analysis is outlined. Trade-offs are invariably involved in applying intersectionality to HR issues. Practical steps for dealing with those trade-offs in the quantitative analyses of HR issues are outlined.Social implicationsIntersectionality draws attention to the intersecting nature of multiple disadvantages or vulnerability. It highlights how they interact in a multiplicative and not simply additive fashion to affect various outcomes of individual and social importance.Originality/valueTo the best of the author’s knowledge, this is the first analysis of the potential applicability of the concept of intersectionality to research and practice in HR. It has obvious relevance for ascertaining intersectional categories as predictors and causal determinants of important outcomes in HR, especially given the growing availability of large personnel and digital datasets.

Lost in space? Refugee Entrepreneurship and Cultural Diversity in Spatial Contexts

Abstract In the past decade, refugee entrepreneurship has received unprecedented political and public attention worldwide and especially in Germany. Due to the circumstances of the forced migration and asylum procedure, refugee entrepreneurs are socially disembedded in both: the co-ethnic community and in the local community, in comparison to other immigrant entrepreneurs or native entrepreneurs. Since asylum seekers are allocated to their residence independent of their will, it is crucial to assess how their socio-spatial embeddedness determines refugee entrepreneurial propensity. We depart from the abstract concept of mixed embeddedness and concretize spatial embeddedness in urban, semi-urban and rural environments. By building on the knowledge spillover theory of entrepreneurship (KSTE), we include embeddedness in cultural diversity in our research model, too. The econometric analyses of the German Microcensus suggest, first, that refugees are especially prone to entrepreneurship. Second, intercultural embeddedness has the strongest significant positive correlation with refugee entrepreneurial propensity, compared to other immigrants and native-born. However, when including interaction effects of cultural diversity in different spaces, the positive relationship of ethnic diversity and refugee entrepreneurship holds only true in semi-urban spaces. This provides clues that refugee entrepreneurs in rural or urban environments access resources and opportunities through alternative social capital.

Profitability Determinants of the Insurance Sector in Small Pacific Island States: A Study of Fiji’s Insurance Companies

We examine the determinants of profitability of insurance companies in Fiji as a reference country. In Fiji, insurance companies and the services have grown over the years. The study uses a financial evaluation approach. Profitability is measured by the return on assets and the return on equity. Using the two measures and the data published in the key disclosure statements as a mandatory requirement by the Reserve Bank of Fiji, we develop regression models. The fixed-effects regression model and a balanced panel are considered for the analysis. The sample comprises eight insurance companies’ financial data over the period 2010-2015. First, a base model is estimated, followed by additional models which include interaction effects as part of the sensitivity analysis and further insights. The general outcome of the estimation is that premium income, underwriting expenses, administrative expenses, and volume of capital are positively associated with profitability, whereas leverage measured by total liability over equity, and contingent liability are negatively associated with profitability. Inclusion of interaction effects provides results consistent with the base model. The study is a first attempt to analyse Fiji’s insurance sectors and provides useful information in terms of financial management of the sector. The findings can assist the insurance sector and the policy makers to formulate strategies for revenue and cost management.

How do nonprofit organizations (NPOs) effectively engage with the public on social media? Examining the effects of interactivity and emotion on Twitter

PurposeThis study seeks to understand the communication factors associated with effective social media for nonprofit organizations (NPOs). Specifically, the study investigated how interactive and emotional communication strategies influence public engagement in different ways, and how the effects differ by service-oriented and other types of NPOs.Design/methodology/approachUsing computer-assisted textual and emotional analyses, the authors examined the functional interactivity, contingency interactivity and emotion elements of 301,559 tweets from the 100 largest US nonprofits. Negative binomial regression was applied to test the relationships among these elements and public engagement on Twitter (i.e. likes and retweets).FindingsFindings revealed negative effects of functional interactivity on likes, negative effects of contingency interactivity on likes and retweets but a positive effect of functional interactivity on retweets. The findings also showed negative effects of emotion valence on likes and retweets but positive effects of emotion strength on likes and retweets. There were varying effects of interactivity and emotion on public engagement for service-oriented and other types of NPOs.Originality/valueThis study advances the nonprofit social media scholarship in several ways. First, this study suggests a clear yet largely ignored distinction in the effects of functional and contingency interactivity on public engagement. Second, this study is an early attempt to examine the role and impact of emotion elements in nonprofit social media success without downplaying the role of interactivity. Third, this study is one of the earliest attempts to include interaction effects for different types of NPOs. Last, this study contributes to the organizational social media use research by demonstrating the benefits of computer-assisted approaches in processing text data on social media. From a practical perspective, this study provides strategic guidelines for NPOs to design effective communication contents and improve their public engagement on social media.

Transgender and nonbinary activism among social work students in the US: The role of ally behavior and a critical orientation to social justice

ABSTRACT Social workers are expected to serve and advocate for marginalized communities, including but not limited to transgender and nonbinary communities (TNB). However, the extent to which social workers meet this expectation is unknown. Using data from a 2019–2020 survey of students who were enrolled in U.S. social work programs (N = 725), this study examined the predictors for engaging in TNB activism, including interaction effects between subdomains of the adapted Ally Identity Measure and students’ personal endorsement of a Critical Orientation to Social Justice. We found that both students identifying as LGBQ and having more TNB people in one’s social network were associated with an increase in engaging with TNB activism. Among our social work educational variables, we found that students who have a mixed micro/macro focus, those who had taken a course on power, privilege, and oppression, and those who had engaged in intergroup dialogue were more likely to engage in TNB activism. Finally, we found that the interaction effects between the Critical Orientation to Social Justice Scale and two of the adapted Ally Identity Measure subdomains were significant.

Coexistent physical and cognitive decline and the development of fear of falling among Korean older adults

Although hand grip strength and cognitive function are associated with fear of falling (FOF), little is known about whether coexisting physical and cognitive decline is jointly related to FOF. This study examines whether grip strength and cognitive function interact to shape FOF and FOF-related activity restriction (FAR) among Korean older adults. This study used seven waves of the Korean Longitudinal Study of Ageing (N=3373 older adults aged 65 or over). Grip strength was assessed by a handgrip dynamometer, and cognitive function by Korean Mini-mental State Examination (K-MMSE). Fixed effects models were estimated to account for time-invariant confounders such as genetic predispositions, innate ability, and health endowments. This study estimated a joint model that included interaction effects between grip strength and cognitive function. Declines in grip strength and cognitive function were independently associated with FOF. Fixed effects estimates suggested that, despite some attenuation, controlling for individual heterogeneity does not confound the associations. The interaction model showed that coexistence of low grip strength and cognitive decline leads to a greater risk of FOF and FAR than having a single condition. Similar patterns were found for FAR. This study provides evidence that coexistent cognitive and physical decline are a significant risk factor for FOF and FAR. Given the well-established adverse effects of FOF on older adults' health and well-being, results of this study lend support to interventions to target old adults with coexistent cognitive and physical decline to remove excessive concerns about FOF.

Antipsychotic and Psychopharmacological Medications: Care Transitions Among Nursing Home Residents

Nursing home residents are frequently prescribed antipsychotic and other psychopharmacologic medications (AP/PPM) to manage behavioral and psychological symptoms. Residents also experience care transitions between nursing homes and other healthcare institutions. Limited research exists on the relationship between AP/PPM use and care transitions in this population. The purpose of this study is to compare odds of care transitions among those with and without AP/PPM use, controlling for resident characteristics. This cross-sectional study used data from a 5% random sample of Medicare beneficiaries between 2011-2015 who resided in a nursing home and were continuously enrolled in Medicare Parts A, B, and D. Chi-square tests compared resident characteristics and AP/PPM use between those with <2 and ≥2 transitions. Multivariate logistic regression evaluated the odds of transitions in those with and without AP/PPM use during a one-year follow-up, including interaction effects among AP and PPM use. Among 132,263 eligible residents, the majority were female(68%), white(85%), and >75 years old(63%). Of residents who experienced ≥2 transitions, 17% received AP and 82% received PPM, compared to those with <2 transitions for which 9% and 66% received AP/PPM, respectively (p<.001). Logistic results showed that for residents with PPM use, those who take AP have 1.33 the odds of experiencing ≥2 transitions than PPM users who do not take AP (p<.001). Findings demonstrate a significant association between AP/PPM use and care transitions in nursing home residents. Prudent use of AP/PPM should thus be optimized with a goal of reducing care transitions and improving quality of care.

Waist‐hip ratio as a moderator of the effects of hormone therapy on cognitive function in recently menopausal women

AbstractBackgroundResearch on menopausal hormone therapy (MHT) for the reduction/prevention of cognitive decline or Alzheimer’s disease has been inconsistent. The Women’s Health Initiative Memory Study (WHIMS) revealed elevated incident cognitive impairment for women starting MHT after age &gt;65 with oral conjugated equine estrogens (o‐CEE) treatment, especially among women with diabetes. Subsequently, the Cognitive and Affective substudy of the Kronos Early Estrogen Prevention Study (KEEPS‐Cog) found that MHT initiated soon after menopause caused neither cognitive benefit nor harm. Waist‐to‐hip ratio (WHR) is a measure of central adiposity and a surrogate marker for insulin resistance/prediabetes. To explore effects of MHT in insulin‐resistant states, in younger women, we analyzed WHR as a predictor of cognitive response to MHT in KEEPS‐Cog.MethodsKEEPS‐Cog randomized women less than 36‐months postmenopause to oCEE, transdermal 17‐β‐estradiol (tE2) or placebo for 48 months. Cognitive tests, completed at baseline, 18, 36, and 48 months post‐randomization were summarized as factor scores representing four cognitive domains: verbal learning and memory (VLM), auditory attention and working memory (AAWM), visual attention and executive function (VAEF), and speeded language and mental flexibility (SLMF). WHR, measured at screening and months 12, 36, and 48 was modeled as a time‐varying moderator of MHT on cognitive function over time. Education was included as a time‐invariant covariate.ResultsWHR decreased throughout the study in both the tE2 and oCEE groups compared to placebo. WHR was also inversely associated with all cognitive parameters at baseline. The inverse relationship of WHR on SLMF was significant at baseline and month 18, but decreased at month 48. The inverse relationship of WHR on VLM increased significantly over time. Models including interaction effects were significant for oCEE x WHR effects at months 18, 36, and 48 on SLMF, indicating better performance in MHT vs placebo arms. No other interaction effects were significant.ConclusionsWHR decreased with MHT, and was consistently associated with VLM through 4 years of MHT. Further, women on oCEE performed better on SLMF tasks at a given WHR. Differences between KEEPS‐Cog and WHIMS findings may be related to the timing of MHT administration, and effects on central adiposity/insulin resistance/prediabetes.

Interaction effects on support for climate‐change mitigation

AbstractBackgroundResearch on the social bases of environmental concern has established robust findings across various sociodemographic characteristics. This includes interaction effects between education and political identity, as well as particularly low concern among supporters of President Trump.ObjectivesUsing 2016 survey data, we extend such research to examine U.S. public support for four climate‐change mitigation strategies: investment in renewable energy, lifestyle changes, a revenue‐neutral carbon tax, and cap‐and‐trade.MethodsWe perform ordered logit regression of belief in anthropogenic climate change and support for these strategies on several key independent variables.ResultsSupport follows some of the patterns expected for environmental concern generally but with new details. Trump support is a dominant predictor, and education × party interactions show significant variations in levels of support.ConclusionThis provides important insights for public policy decision making related to climate change by considering which characteristics are most predictive of support for specific strategies.

Crossmodal Interactions Between Olfaction and Touch Affecting Well-Being and Perception of Cosmetic Creams.

In the present series of studies, we investigated crossmodal perception of odor and texture. In four studies, participants tried two textures of face creams, one high viscosity (HV) and one low viscosity (LV), each with one of three levels of added odor (standard level, half of standard, or base [no added odor]), and then reported their levels of well-being. They also reported their perceptions of the face creams, including liking (global liking of the product, liking of its texture) and “objective” evaluations on just about right (JAR) scales (texture and visual appearance evaluations). In Study 1, women in France tried the creams on their hands, as they would when testing them in a store, and in Study 2, a second group of French women tried the creams on their faces, as they would at home. In Studies 3 and 4, these same two procedures were repeated in China. Results showed that both odor and texture had effects on well-being, liking, and JAR ratings, including interaction effects. Though effects varied by country and context (hand or face), the addition of odor to the creams generally increased reports of well-being, global liking and texture liking, in some cases affecting the “objective” evaluations of texture. This is one of the first investigations of crossmodal olfactory and tactile perception's impacts on well-being, and it reinforces previous literature showing the importance of olfaction on well-being.