Long-Term Evaluation of Individualized Marketing Programs for Travel Demand Management

This research examines the use of individualized marketing as a transportation demand management (TDM) strategy, using the City of Portland\u27s SmartTrips program. This research project has two specific aims: (1) to evaluate whether the benefits of these individualized marketing programs continue to at least one year after the project ends; and (2) to examine whether the theory of planned behavior (TPB) can help explain the behavior changes identified. Surveys of residents conducted one or two years after the original program found that the share of daily trips made driving alone, walking, and bicycling were comparable to that found in the previous follow-up surveys, still significantly lower (for driving alone) or higher (for walking and bicycling) than the pre-surveys. This may indicate that the SmartTrips program was effective at changing behavior for a longer time period than previously measured. The theory of planned behavior (TPB) models were effective at explaining travel behavior. The models showed that attitudes, social norms, and perceived behavioral control explain a large share (45-55%) of the variance in travel behavior. The relative influence of each component of the model differed some by mode. The findings support previous research that individualized marketing programs can be effective at changing people?s travel behavior. The findings indicate that the benefits of the programs may extend beyond one year and up to at least two years. However, the research also found that the programs may not be as effective in environments that are less conducive to walking, bicycling, and transit. The research also found that that attitudes, norms, and perceptions play a large role in travel decisions. To be most effective, individualized marketing programs need to influence these factors, though efforts that focus on social norms to influence travel behavior may be less effective than those that include attitudinal and behavioral control components. Sensitivity to regional characteristics and the specific travel mode that is the target of interest is also warranted

House: Verbal and Visual Expressions by Children in Grades Four, Five and Six

Housing, Design and Consumer Resource

A Framework for Protecting and Promoting Employee Mental Health through Supervisor Supportive Behaviors

The attention to workplace mental health is timely given extreme levels of burnout, anxiety, depression and trauma experienced by workers due to serious extraorganizational stressors – the COVID-19 pandemic, threats to climate change, and extreme social and political unrest. Workplace-based risk factors, such as high stress and low support, are contributing factors to poor mental health and suicidality (Choi, 2018; Milner et al., 2013, 2018), just as low levels of social connectedness and belonging are established risk factors for poor mental health (Joiner et al., 2009), suggesting that social support at work (e.g., from supervisors) may be a key approach to protecting and promoting employee mental health. Social connections provide numerous benefits for health outcomes and are as, or more, important to mortality as other well-known health behaviors such as smoking and alcohol consumption (Holt-Lundstad et al., 2015), and can serve as a resource or buffer against the deleterious effects of stress or strain on psychological health (Cohen & Wills, 1985). This manuscript provides an evidence-based framework for understanding how supervisor supportive behaviors can serve to protect employees against psychosocial workplace risk factors and promote social connection and belongingness protective factors related to employee mental health. We identify six theoretically-based Mental Health Supportive Supervisor Behaviors (MHSSB; i.e., emotional support, practical support, role modeling, reducing stigma, warning sign recognition, warning sign response) that can be enacted and used by supervisors and managers to protect and promote the mental health of employees. A brief overview of mental health, mental disorders, and workplace mental health is provided. This is followed by the theoretical grounding and introduction of MHSSB. Suggestions for future research and practice follow, all with the focus of developing a better understanding of the role of supervisors in protecting and promoting employee mental health in the workplace

Online or In-Person: What Mode of Conversation Makes People Feel the Most Socially Connected?

Since the onset of the COVID-19 pandemic, people have been spending significantly more time online. Today, people spend an average of 6 hours and 58 minutes online every day, and much of this time is spent socializing via various platforms. Many studies have examined the benefits and risks of socializing online, but few studies have examined online conversations specifically. In this study I aim to uncover the differences in perceived social connection based on the medium of conversation. To do this, I will administer the Connectedness During Conversations Scale (CDCS) to a sample of Portland State University students (N=80). The CDCS is a 14-item questionnaire that is broken down into 4 subsections (shared reality, partner responsiveness, participant interest, affective experience) and measures perceived social connectedness. Each participant will be asked to complete the survey twice; once for a recent in-person conversation they had, and the second time for a recent online conversation they had. I predict that online conversations will score higher in the 4 subsections than in-person conversations. Gaining a better understanding of the mechanisms that promote connectedness in conversations can guide the development of future social media platforms and loneliness interventions

Daily Mood-Drinking Slopes as Predictors: a New Take on Drinking Motives and Related Outcomes

Motivational models of alcohol consumption have articulated the manner in which positive and negative experiences motivate drinking in unique social contexts (e.g., Cooper, Frone, Russell & Mudar, 1995). Daily process methodology, in which daily events, moods and drinking behaviors are reported daily or multiple times per day, has been used to examine behavioral patterns that are consistent with discrete motivations. We advance the notion that repeated patterns of drinking in various social contexts as a function of positive or negative mood increases can provide evidence of individual-level if-then drinking signatures, which in turn can predict drinking-related outcomes. The purpose of this study was to examine the utility of slopes to predict longer term drinking motivations and alcohol problems, employing a daily process study of non-clinical moderate alcohol drinkers (N=47; 49% women). Participants responded to thrice daily interviews administered via handheld computer for 30 days, followed by a longitudinal telephone survey for 12 months. Participants’ daily mood-drinking relationships were extracted from HLM and employed as predictors of 12-month outcomes in multiple regression analyses. Daily mood-drinking patterns demonstrated significant variability across persons, such that moderate drinkers could be reliably differentiated based on those patterns in terms of distinct drinking-related outcomes. Among the results, negative mood-solitary drinking slopes were associated with lower subsequent coping motives; yet, positive mood-solitary drinking slopes were predictive of higher coping and lower social motives. Conversely, positive mood-social drinking associations were predictive of higher enhancement motives and b-MAST scores. Results are interpreted in light of motivational models of consumption

The Daily Association Between Affect and Alcohol Use: A Meta-Analysis of Individual Participant Data

Influential psychological theories hypothesize that people consume alcohol in response to the experience of both negative and positive emotions. Despite two decades of daily diary and ecological momentary assessment research, it remains unclear whether people consume more alcohol on days they experience higher negative and positive affect in everyday life. In this preregistered meta-analysis, we synthesized the evidence for these daily associations between affect and alcohol use. We included individual participant data from 69 studies (N = 12,394), which used daily and momentary surveys to assess affect and the number of alcoholic drinks consumed. Results indicate that people are not more likely to drink on days they experience high negative affect, but are more likely to drink and drink heavily on days high in positive affect. People self-reporting a motivational tendency to drink-to-cope and drink-to-enhance consumed more alcohol, but not on days they experienced higher negative and positive affect. Results were robust across different operationalizations of affect, study designs, study populations, and individual characteristics. These findings challenge the long-held belief that people drink more alcohol following increases in negative affect. Integrating these findings under different theoretical models and limitations of this field of research, we collectively propose an agenda for future research to explore open questions surrounding affect and alcohol use

Interobserver Agreement in the Diagnosis of Stroke Type

Interobserver Agreement is Essential to the Reliability of Clinical Data from Cooperative Studies and Provides the Foundation for Applying Research Results to Clinical Practice. in the Stroke Data Bank, a Large Cooperative Study of Stroke, We Sought to Establish the Reliability of a Key Aspect of Stroke Diagnosis: The Mechanism of Stroke. Seventeen Patients Were Evaluated by Six Neurologists. Interobserver Agreement Was Measured When Diagnosis Was based on Patient History and Neurologic Examination Only, as Well as When It Was based on Results of a Completed Workup, Including a Computed Tomographic Scan. Initial Clinical Impressions, based Solely on History and One Neurologic Examination, Were Fairly Reliable in Establishing the Mechanism of Stroke (Ie, Distinguishing among Infarcts, Subarachnoid Hemorrhages, and Parenchymatous Hemorrhages). Classification into One of Nine Stroke Subtypes Was Substantially Reliable When Diagnoses Were based on a Completed Workup. Compared with Previous Findings for the Same Physicians and Patients, the Diagnosis of Stroke Type Was Generally More Reliable Than Individual Signs and Symptoms. These Results Suggest that Multicentered Studies Can Rely on the Independent Diagnostic Choices of Several Physicians When Common Definitions Are Employed and Data from a Completed Workup Are Available. Furthermore, Reliability May Be Less for Individual Measurements Such as Signs or Symptoms Than for More-Complex Judgments Such as Diagnoses. © 1986, American Medical Association. All Rights Reserved

Interobserver Reliability in the Interpretation of Computed Tomographic Scans of Stroke Patients

Interobserver Reliability in Interpretation of Computed Tomographic Images Was Studied by Six Senior Neurologists Who Independently Evaluated on a Standardized Stroke Data Bank Form the Brain Lesions of 17 Patients. the Results Analyzed with K Statistics Yielded Moderate to Substantial Agreement on Most Items of Interest Including the Stroke Pathology and Anatomy. in General, the Levels of Agreement Were as High as Previously Reported for the Diagnosis of the Mechanism of the Stroke, and Much Higher Than on Many Stroke History Items and Items of Neurologic Examination. Excellent Agreement Was Obtained for the Detection of Infarcts and Intracerebral Hemorrhage, and Substantial Agreement Was Obtained on Whether the Computed Tomographic Images Were Normal or Indicative of Small Deep Infarcts, Superficial and Deep Infarcts, and Aneurysms. the Level of Agreement on Anatomy of the Lesions Was Best for the Frontal, Parietal, and Temporal Lobes, Putamen, Cerebellum, and Subarachnoid Space. Implications for Clinical Research and Diagnosis Are Discussed. © 1987 American Medical Association All Rights Reserved

Interobserver Variability in the Assessment of Neurologic History and Examination in the Stroke Data Bank

Interobserver Reliability in Obtaining Neurologic Histories and Examinations Was Investigated among Neurologists Collaborating in the Stroke Data Bank (SDB). Seventeen In-Hospital Stroke Patients Were Examined by Six Neurologists Experienced in Stroke over the Course of Three Days. Patients Were Examined Twice a Day for Two Successive Days, with Each Patient Seen by Four Different Neurologists. Data Were Recorded on SDB Forms, According to Definitions and Procedures Established for the SDB. Percent Agreement and Κ Coefficients Were Calculated to Assess the Levels of Agreement for Each Item. Important Differences in Levels of Agreement Were Found among Items on Both Neurologic History and Examination. Agreement among Neurologists Was Higher for Neurologic Examination Than for History. Patterns of Agreement for Items with Low Prevalence or with Numerous Unknown Ratings Are Discussed. Improvement in Interobserver Agreement Due to Data Editing for Intra-Observer Consistency Was Shown. © 1985, American Medical Association. All Rights Reserved

The daily association between affect and alcohol use: a meta-analysis of individual participant data

Influential psychological theories hypothesize that people consume alcohol in response to the experience of both negative and positive emotions. Despite two decades of daily diary and ecological momentary assessment research, it remains unclear whether people consume more alcohol on days they experience higher negative and positive affect in everyday life. In this preregistered meta-analysis, we synthesized the evidence for these daily associations between affect and alcohol use. We included individual participant data from 69 studies (N = 12,394), which used daily and momentary surveys to assess affect and the number of alcoholic drinks consumed. Results indicate that people are not more likely to drink on days they experience high negative affect, but are more likely to drink and drink heavily on days high in positive affect. People self-reporting a motivational tendency to drink-to-cope and drink-to-enhance consumed more alcohol, but not on days they experienced higher negative and positive affect. Results were robust across different operationalizations of affect, study designs, study populations, and individual characteristics. These findings challenge the long-held belief that people drink more alcohol following increases in negative affect. Integrating these findings under different theoretical models and limitations of this field of research, we collectively propose an agenda for future research to explore open questions surrounding affect and alcohol use.The present study was funded by the Canadian Institutes of Health Research Grant MOP-115104 (Roisin M. O’Connor), Canadian Institutes of Health Research Grant MSH-122803 (Roisin M. O’Connor), John A. Hartford Foundation Grant (Paul Sacco), Loyola University Chicago Research Support Grant (Tracy De Hart), National Institute for Occupational Safety and Health Grant T03OH008435 (Cynthia Mohr), National Institutes of Health (NIH) Grant F31AA023447 (Ryan W. Carpenter), NIH Grant R01AA025936 (Kasey G. Creswell), NIH Grant R01AA025969 (Catharine E. Fairbairn), NIH Grant R21AA024156 (Anne M. Fairlie), NIH Grant F31AA024372 (Fallon Goodman), NIH Grant R01DA047247 (Kevin M. King), NIH Grant K01AA026854 (Ashley N. Linden-Carmichael), NIH Grant K01AA022938 (Jennifer E. Merrill), NIH Grant K23AA024808 (Hayley Treloar Padovano), NIH Grant P60AA11998 (Timothy Trull), NIH Grant MH69472 (Timothy Trull), NIH Grant K01DA035153 (Nisha Gottfredson), NIH Grant P50DA039838 (Ashley N. Linden-Carmichael), NIH Grant K01DA047417 (David M. Lydon-Staley), NIH Grant T32DA037183 (M. Kushner), NIH Grant R21DA038163 (A. Moore), NIH Grant K12DA000167 (M. Potenza, Stephanie S. O’Malley), NIH Grant R01AA025451 (Bruce Bartholow, Thomas M. Piasecki), NIH Grant P50AA03510 (V. Hesselbrock), NIH Grant K01AA13938 (Kristina M. Jackson), NIH Grant K02AA028832 (Kevin M. King), NIH Grant T32AA007455 (M. Larimer), NIH Grant R01AA025037 (Christine M. Lee, M. Patrick), NIH Grant R01AA025611 (Melissa Lewis), NIH Grant R01AA007850 (Robert Miranda), NIH Grant R21AA017273 (Robert Miranda), NIH Grant R03AA014598 (Cynthia Mohr), NIH Grant R29AA09917 (Cynthia Mohr), NIH Grant T32AA07290 (Cynthia Mohr), NIH Grant P01AA019072 (P. Monti), NIH Grant R01AA015553 (J. Morgenstern), NIH Grant R01AA020077 (J. Morgenstern), NIH Grant R21AA017135 (J. Morgenstern), NIH Grant R01AA016621 (Stephanie S. O’Malley), NIH Grant K99AA029459 (Marilyn Piccirillo), NIH Grant F31AA022227 (Nichole Scaglione), NIH Grant R21AA018336 (Katie Witkiewitz), Portuguese State Budget Foundation for Science and Technology Grant UIDB/PSI/01662/2020 (Teresa Freire), University of Washington Population Health COVID-19 Rapid Response Grant (J. Kanter, Adam M. Kuczynski), U.S. Department of Defense Grant W81XWH-13-2-0020 (Cynthia Mohr), SANPSY Laboratory Core Support Grant CNRS USR 3413 (Marc Auriacombe), Social Sciences and Humanities Research Council of Canada Grant (N. Galambos), and Social Sciences and Humanities Research Council of Canada Grant (Andrea L. Howard)