Amazon Mechanical Research Articles

CAREGIVER IDENTITY IN EMERGING ADULTHOOD: HOW IDENTITY DISCREPANCY AND SALIENCE RELATE TO DISTRESS

Abstract As the older adult (age 65+) population grows in the United States, the demographics of caregivers are expanding to include more emerging adults (ages 18-25) who are participating in caregiving tasks. Minimal research has focused on this subgroup of caregivers to older adults, especially with regards to understanding factors that may influence their levels of caregiver distress. Guided by caregiver identity theory, the current study examined 1) the relationship between caregiver identity and caregiver distress, 2) support service utilization as a mediator between caregiver identity and caregiver distress, and 3) the inclusion of ageist attitudes within caregiver identity models. A sample of 259 emerging adult caregivers were recruited through Amazon MTurk. Fit of the hypothesized structural equation model was acceptable and squared multiple correlations (R2) indicated that 73.1% of the variance in caregiver distress, 23.8% of the variance in support service utilization, and 22.7% of the variance in ageist attitudes was explained by this model. Higher caregiver identity salience was significantly related to lower caregiver distress. Support service utilization partially mediated the relationship between identity salience and distress through an inconsistent mediation. The findings of the current study support caregiver identity as a unique, multidimensional process consisting of both identity discrepancy and salience latent constructs. Results showed low-to-moderate caregiver identity discrepancy, possibly due to identity flexibility during this developmental period. High caregiver identity salience was protective against caregiver distress for emerging adults. Ageist attitudes warrant inclusion in future research on caregiving identity development. Implications for support services are discussed.

SURVEYING ADULTS’ DESIRE TO KNOW AND PAY FOR A TEST OF DEMENTIA RISK

Abstract Advances in biomarkers of Alzheimer’s disease (AD) and other dementias are promising, but it is also important to characterize the general public’s desire for such biomarkers. It is also important to disentangle the desire to know test results from the desire to disclose the test results with a medical provider/insurance provider. This is particularly important for populations who are at higher risk of developing dementia but who either do not regularly engage with the medical system or who are skeptical of it. The purpose of this study was to survey adults’ desire to know about their short-term risk of developing dementia, and the factors that impact their desire to know. A survey of 326 participants (mean+SD age: 41.9 + 11.9 yrs; 76% White non-Hispanic; 48% F) was completed via Amazon MTurk. Results indicated that 75% of participants would take such a test, but only 12% of them would want their medical/insurance provider to know. Non-White participants (n=73) also reported less desire to share knowledge with a medical/insurance provider, but still wanted to know their risk as much as White participants. Furthermore, the out-of-pocket price that participants were willing to pay for such a test was $100. These data suggest that a diverse set of biomarkers needs to be developed that would enable affordable screening within and outside of a medical context.

Reducing Waste Outflow to Motivate Water Conservation

Abstract A novel intervention to increase water-conserving behavior was developed and tested. Behavior-change interventions range from information-based, where individuals have full control over whether they act on the provided information, to forcing/automation, where individuals have no control over the desired behavior. This study’s intervention was devised to be more forceful than providing information alone, but unlike forcing/automation, still allows individuals to control whether they perform the desired behavior. While resource-conservation strategies tend to target resource intake, the studied intervention examines whether limiting resource waste outflow can also limit resource intake. Specific to water, this study explored whether reducing wastewater outflow, causing accumulation, can reduce water inflow. Data were collected online using simulations of handwashing at a sink, which had different sink-outflow rates. Amazon Mechanical Turk workers completed three randomly ordered handwashing simulations. Study participants (n = 72) significantly reduced simulated consumption of water when it accumulated quickly in the sink (p < 0.001). Participants reduced simulated water consumption, on average by 14% at lower outflow rates, as they decreased inflow rates to prevent sink overflow. In contrast to informational interventions that rely on user motivation, reducing outflow significantly decreased simulated water usage, independent of participant-reported performance of other pro-environmental behaviors. Thus, reducing outflow may be effective regardless of individuals’ motivation to act sustainably. Also discussed is the value of online simulations to test pro-environmental behavior interventions. Finally, limitations and next steps, including in-person testing, are outlined as future work.

Richness of IT Use Operationalization: A Conceptual Replication

Use of information technology (IT) remains a key concern for organizations. This article presents a conceptual replication of Burton-Jones and Straub’s (2006) study, exploring the effect of IT Use operationalization richness – lean and rich – on Performance. We used 352 valid responses from Amazon MTurk through an online survey. Consistent with the original study, the hypothesis was tested by using the Structural Equation Modeling technique. Our results – which indicated support for the same hypothesis in the original study – suggest that the richer the IT use operationalization, the higher the individual Performance.

Diagnostic Delay and Disease Burden in Primary Aldosteronism: An International Patient Survey.

Primary aldosteronism (PA) is a common but underdiagnosed cause of hypertension. Many patients experience preventable end-organ injury due to delayed or missed diagnosis but data on the experience of patients are limited. We evaluated the lived experience of PA and determines factors associated with diagnostic delay through an international anonymous online cross-sectional survey, codesigned by researchers and PA consumers. We distributed the survey through academic medical centers, Amazon Mechanical Turk, Twitter, PA patient advocacy groups, and hypertension support groups on Facebook between March 21 and June 5, 2022. Of 684 eligible respondents, 66.5% were women. Diagnostic delay (defined as ≥5 years between the diagnosis of hypertension and PA) was reported in 35.6%. Delay was more likely in women than in men (odds ratio, 1.55 [95% CI, 1.10-2.20]) and respondents with ≥3 comorbidities versus none (odds ratio, 1.77 [95% CI, 1.05-3.02]), ≥10 symptoms versus none (odds ratio, 2.73 [95% CI, 1.74-4.44]), and on ≥4 antihypertensive medications versus none (odds ratio, 18.23 [95% CI, 6.24-77.72]). Three-quarters of patients (74.4%) experienced reduced symptom burden following targeted PA treatment. Quality of life improved in 62.3% of patients, and greater improvement was associated with being a woman (odds ratio, 1.42, [95% CI, 1.02-1.97]), receiving adrenalectomy (odds ratio, 2.36 [95% CI, 1.67-3.35]), and taking fewer antihypertensive medications following diagnosis (odds ratio, 5.28 [95% CI, 3.55-7.90]). One-third of patients with PA experienced prolonged diagnostic delays. Targeted treatment led to reduced symptom burden and improved quality of life. Gender differences in diagnostic delay and symptom burden are prominent. These findings suggest that routine screening for PA at the onset of hypertension may reduce diagnostic delay and facilitate timely diagnosis.

Perceptions of psychedelic personality change, determinants of use, setting and drug moderation: Toward a holistic model

AbstractBackgroundStudies have shown evidence for long-term effects of psychedelics on personality, but comprehensive models of psychedelic-mediated personality changes have yet to be explored.AimsThe present study aims to investigate (1) perceptions of personality change in the general population, (2) moderators of perceived personality change including setting and drug type, and (3) whether personality predisposes individuals to use psychedelics.MethodPaid participants with experience using psychedelic (N = 218), non-users with interest in using psychedelics (N = 104), and non-users without interest in using psychedelic (N = 104) completed an online survey following recruitment from Amazon Mechanical Turk. Psychedelic users were asked to complete written open-ended accounts of perceived personality changes that they attribute to their most intense psychedelic experience. Thematic and factor analyses were undertaken to identify themes of perceived psychedelic change and their organizational structure.Results/OutcomesThematic analyses resulted in 52 unique personality change themes, and exploratory factor analyses yielded eight thematic factors (Unitive Spiritual, Gratitude Absorption, Purpose Freedom, Compassion Understanding, Emotional Stability, Openness Perspective, Connection to Self, and Neuroticism Caution). Interest in psychedelic use among non-users was associated with higher openness and neuroticism. Psychedelic users tended to be more open and extraverted, and less neurotic than non-users, and interested non-users tended to be higher in openness than uninterested non-users.Conclusion/InterpretationThe present results inform a tentative model of how personality leads to psychedelic use, how psychedelic use leads to changes in personality, and how setting and drug moderate different types of changes in personality. Research and clinical implications are discussed, including (1) hypotheses for future prospective and experimental research, (2) the value of creating multi-faceted, holistic measures that reflect the diversity and organizational structure of possible psychedelic changes, and (3) the value of allowing such evidence to guide novel psychedelic-assisted therapeutics.

Switching behaviors in peer-to-peer mobile payment applications: the role of sociability

PurposeUsing features of social media, peer-to-peer (P2P) mobile payment enables users to foster social interaction every time transactions are made. Given the increasing popularity of social features in P2P mobile payment applications, it is worth understanding how these components contribute to users’ switching behavior between conventional mobile payment and P2P mobile payment services. By treating sociability of P2P mobile payment as a pull factor, this study aims to extend the push–pull–mooring framework in the context of P2P mobile payment.Design/methodology/approachA questionnaire survey was conducted to obtain data. Respondents from the USA were exclusively selected due to the emerging number of P2P mobile payment users and the volume of transactions in this country. Based on a sample of 232 Amazon Mechanical Turk mobile payment users, the authors tested the hypotheses using the partial least squares structural equation model technique with SmartPLS software version 3.FindingsThe finding reveals that sociability is triggered by social presence, social benefit and social support within the P2P mobile payment platform. Moreover, dissatisfaction with perceived enjoyment of conventional mobile payment (push factor), customer innovativeness (mooring factor) and sociability of P2P mobile payment (pull factor) jointly influence users’ intention to switch to P2P mobile payment services, and subsequently drive their migration behavior.Originality/valueUnlike past research that mainly focuses on utilitarian-related factors, to the best of the authors’ knowledge, this study is among the first to thoroughly examine the sociability features of P2P mobile payment service as a form of a social-centric system.

A Comparison of Mental Health Symptoms among Adults Who Vape Nicotine, Cannabis, or Both

Objectives Dual use of combustible cannabis and nicotine is related to worse mental health symptoms (MHS); however, little is known about MHS among those who vape cannabis and nicotine. The current study aimed to determine if dual use of cannabis and nicotine vapes is associated with worse MHS compared to single use and to identify correlates of MHS for dual users. Methods We used Amazon Mechanical Turk to survey adults (N = 492) who used nicotine or cannabis vapes in the past 30 days on stress, anxiety, depression, vape use behaviors and sociodemographic information. We conducted hierarchical linear regressions to compare MHS between dual vs. single substance vape use and to identify correlates of MHS, including sociodemographic variables and vape use characteristics. Results The final sample was 37.6% female, 87.6% White, and 11% Hispanic/Latinx with a mean age of 34.15 years. After controlling for sociodemographic characteristics and combustible product use, dual users had significantly higher mean MHS severity than single users. For dual users, younger age and being married were associated with higher symptoms of depression and stress. Holding a medical cannabis card was associated with higher anxiety symptoms. Conclusion The findings suggest that dual use of cannabis and nicotine vapes is associated with worse MHS severity compared to single substance use.

Developing Message Strategies to Engage Racial and Ethnic Minority Groups in Digital Oral Self-Care Interventions: Participatory Co-Design Approach.

The prevention of oral health diseases is a key public health issue and a major challenge for racial and ethnic minority groups, who often face barriers in accessing dental care. Daily toothbrushing is an important self-care behavior necessary for sustaining good oral health, yet engagement in regular brushing remains a challenge. Identifying strategies to promote engagement in regular oral self-care behaviors among populations at risk of poor oral health is critical. The formative research described here focused on creating messages for a digital oral self-care intervention targeting a racially and ethnically diverse population. Theoretically grounded strategies (reciprocity, reciprocity-by-proxy, and curiosity) were used to promote engagement in 3 aspects: oral self-care behaviors, an oral care smartphone app, and digital messages. A web-based participatory co-design approach was used to develop messages that are resource efficient, appealing, and novel; this approach involved dental experts, individuals from the general population, and individuals from the target population-dental patients from predominantly low-income racial and ethnic minority groups. Given that many individuals from racially and ethnically diverse populations face anonymity and confidentiality concerns when participating in research, we used an approach to message development that aimed to mitigate these concerns. Messages were initially developed with feedback from dental experts and Amazon Mechanical Turk workers. Dental patients were then recruited for 2 facilitator-mediated group webinar sessions held over Zoom (Zoom Video Communications; session 1: n=13; session 2: n=7), in which they provided both quantitative ratings and qualitative feedback on the messages. Participants interacted with the facilitator through Zoom polls and a chat window that was anonymous to other participants. Participants did not directly interact with each other, and the facilitator mediated sessions by verbally asking for message feedback and sharing key suggestions with the group for additional feedback. This approach plausibly enhanced participant anonymity and confidentiality during the sessions. Participants rated messages highly in terms of liking (overall rating: mean 2.63, SD 0.58; reciprocity: mean 2.65, SD 0.52; reciprocity-by-proxy: mean 2.58, SD 0.53; curiosity involving interactive oral health questions and answers: mean 2.45, SD 0.69; curiosity involving tailored brushing feedback: mean 2.77, SD 0.48) on a scale ranging from 1 (do not like it) to 3 (like it). Qualitative feedback indicated that the participants preferred messages that were straightforward, enthusiastic, conversational, relatable, and authentic. This formative research has the potential to guide the design of messages for future digital health behavioral interventions targeting individuals from diverse racial and ethnic populations. Insights emphasize the importance of identifying key stimuli and tasks that require engagement, gathering multiple perspectives during message development, and using new approaches for collecting both quantitative and qualitative data while mitigating anonymity and confidentiality concerns.

Assessing Antecedents of Restaurant's Brand Trust and Brand Loyalty, and Moderating Role of Food Healthiness.

The purpose of this research was to apply DINESERV to a food brand: Shake Shack. Six sub-dimensions (e.g., taste, healthiness, employee service, price fairness, ambience, and convenience) were adopted. This study used brand trust and brand loyalty to explain attributes. This research additionally assessed the moderating impact of healthiness on the relationship between taste and brand loyalty. For data collection, this study used Amazon Mechanical Turk. The main instrument of this research is a survey. The number of valid observations was 353. Confirmatory factor analysis and a correlation matrix were used to ensure the convergent and discriminant validity of measurement items. Structural equation modeling was employed for hypothesis testing. Plus, Hayes process macro model 1 was employed to test the moderating effect of healthiness. Results indicated that brand trust was positively associated with taste (p < 0.05), employee service (p < 0.05), and ambience (p < 0.05), while brand loyalty was positively associated with taste (p < 0.05), healthiness (p < 0.05), price fairness (p < 0.05), ambience (p < 0.05), and brand trust (p < 0.05). However, the convenience of casual restaurants appeared as a non-significant attribute to account for both brand trust and brand loyalty. The results also revealed that healthiness negatively moderates the relationship between taste and brand loyalty (p < 0.05). This study sheds light on the literature by demonstrating the accountability of DINESERV to casual dining customer behavior. Also, this research presents information for the assistance of brand management in the domain of casual dining sector.

Solidarity and collective issues in remote crowd work: A mixed methods study of the Amazon Mechanical Turk online forum

AbstractThe article deals with collective issues and emerging forms of solidarity in remote crowd work. Using the example of the Amazon Mechanical Turk platform, we analyse communication in one of the oldest online labour forums (OLF) with a mixed‐methods‐approach (web scraping, topic modelling and qualitative content analysis) over a 10‐year period. We identify six broader themes of collective relevance whose importance varies over time. The results indicate that elements of solidarity emerge as crowd workers communicate about deprivations, develop collective orientations, and invoke injustice frames. However, there are no indications of more profound collective activities, which may be due to different types of crowd workers, some of whom have conflicting orientations. We develop assumptions about restrictions of OLF in facilitating collective action and tasks for organisers. The research contributes to a better understanding of mobilisation issues in remote platform labour.

Who corrects misinformation online? Self-perceived media literacy and the moderating role of reflective judgment

PurposePurpose: The main purpose of the study is to understand the factors that facilitate correction behavior among individuals. In this study the authors examine the impact of self-perceived media literacy (SPML) and reflection on participants’ correction behavior.Design/methodology/approachMethods: Data for the study were collected from Amazon's MTurk using an online survey. Data were collected after a certificate of exemption was received by the Institutional Review Board in a research university in the United States (US) Qualtrics software was used to collect data. The total number of participants was 797.FindingsFindings: The findings show that although both SPML and reflection are positively associated with rumor refutation, higher SPML alone is not enough. Reflective judgment is critical for individuals to take part in this behavior online, such that individuals with higher reflective judgment indicated that they refute rumors online, irrespective of their SPML score.Originality/valueOriginality: The authors tested the relationship of multiple variables with participants correction behavior. Although research shows the importance of social correction, there is not much knowledge about what facilitates actual misinformation correction.

Linked by age: a study on social media privacy concerns among younger and older adults

PurposeThis paper explores the similarities and differences in privacy attitudes, trust and risk beliefs between younger and older adults on social networking sites. The objective of the article is to ascertain whether any notable differences exist between younger (18–25 years old) and older (55+ years old) adults in how trust and risk are influenced by privacy concerns upon personal information disclosure on social media.Design/methodology/approachA Likert scale instrument validated in previous research was employed to gather the responses of 148 younger and 152 older adults. The scale was distributed through Amazon Mechanical Turk. Data were analyzed through partial least squares structural equation modeling.FindingsNo significant differences were found between younger and older adults in how social media privacy concerns related to trust and risk beliefs. Two privacy concern dimensions were found to have a significant influence on perceptions of risk for both populations: collection and control. Predictability and a sense of control are proposed as two conceptual approaches that can explain these findings.Originality/valueThis article is the first one to explore age differences in privacy concerns, trust and risk on social media employing conceptual developments and an instrument specifically tailored to the social media environment. Based on the findings, several strategies are suggested to keep privacy concerns on social media at a minimum, reduce risk perceptions and increase users' trust.

Conducting Rehabilitation Research Through Amazon Mechanical Turk: A User-Friendly Guide

Amazon Mechanical Turk (MTurk) is a crowdsourcing website that has become a popular participant recruitment tool in social science research. MTurk provides access to a large, diverse, and inexpensive pool of willing participants, and the unique clinical characteristics of MTurk participants may be of particular interest to rehabilitation researchers. In this article, the authors provide a step-by-step guide to set up and conduct a Qualtrics online survey study via MTurk. Several considerations including quality control of data, cost reduction, and ethical considerations are discussed, and strategies to improve data quality and promote research ethics are provided.

Obsessive-compulsive severity, gender, and religiosity as predictors of personality trait scores

Obsessive-compulsive disorder (OCD) impacts 1%—4% of the United States population. Scrupulosity, or obsessions related to morality and religion, is the fifth most common obsession. Although clinicians and researchers may have ample assessment information about their clients, such as OCD severity, gender, and religious background, little research in the field has shown how these variables relate to personality factors. Using Amazon's Mechanical Turk, we recruited 230 participants to (a) determine if scrupulosity were predictive of openness and neuroticism while accounting for gender, OCD severity, and religiosity; (b) investigate whether religious identity interacted with scrupulosity when predicting openness and neuroticism; and (c) examine if gender identity contributed to openness and neuroticism. Using linear mixed models, we found that higher scrupulosity predicted lower levels of openness across all religious groups, and that higher scrupulosity was associated with higher negative emotionality for nonreligious individuals. Implications for practice and continued research are discussed.

Neighborhood problems and sleep difficulties predict subjective cognitive decline in Black American men living in urban areas

AbstractBackgroundThe impact of the residential neighborhood on health and aging is being increasingly recognized in medical and health sciences. Specifically, research suggests that the neighborhood where people live can be a risk or protective factor for various health outcomes, including brain health. Similar to the impact of neighborhood on health and aging, sleep has been linked to subjective cognitive decline (SCD) in older adults, which may signal a cognitive trajectory to Alzheimer’s disease and related dementia (ADRD). This study aims to evaluate whether neighborhood problems and sleep difficulties predict subjective cognitive decline in Black men living in urban areas and, thus, may be related to elevated risks for ADRD.MethodBlack American men (N = 117), age 40 – 70 years, were recruited through a targeted advert on Amazon Mechanical Turk (MTURK) over a 3‐week period. The participants responded to a survey assessing neighborhood problems, bodily symptoms, length of residence, sleep difficulties, self‐rated health, sociodemographic characteristics, and subjective cognitive decline.ResultWe performed hierarchical regression. In Model 1, only education was a significant predictor of SCD (F (3,113) = 8.52, p&lt;.001), accounting for 18% of the variation in SCD. In Model 2, socioeconomic status, education, and bodily symptoms were significant predictors of SCD (F (5,111) = 13.99, p&lt;.001) and explained 39% of the variation in SCD. In Model 3, neighborhood problems, length of residence added, socioeconomic status, education, and bodily symptoms were significant predictors and contributed 44% of the total variance in SCD (F (7,109) = 12.10, p&lt;.001). In Model 4, sleep difficulties, length of residence, bodily symptoms, socioeconomic status, and education were significant predictors of SCD (F (9,107) = 13.59, p&lt;.001), and accounted for 50% of the variation in SCD.ConclusionGiven that Black Americans have been found to have a higher prevalence of sleep disturbances compared to white Americans, our findings could add to inform future health interventions and policy recommendations that can address modifiable sources of poorer brain health in Black men.

Clinically meaningful individual differences in opioid withdrawal expression.

Opioid use disorder (OUD) is a significant public health concern. An individual with an OUD may experience withdrawal after stopping opioid use. There has been limited exploration of the individual differences in withdrawal expression. This study expands understanding of this issue by examining the presence and frequency at which persons who have ever had opioid withdrawal have experienced different opioid withdrawal symptoms. Using cross-sectional data captured online from Amazon Mechanical Turk, 124 adults with a lifetime experience of opioid withdrawal were included. Respondents were able to indicate ever experiencing 31 individual opioid withdrawal symptoms. If a symptom was ever experienced, respondents would indicate if it was common and whether it bothered them. A cluster analysis was used to explore variability between the withdrawal symptoms. The sample was primarily men (n = 76, 61.3%) with an average age of 34.7 (SD = 11.6). The typical withdrawal syndrome lasted 6.5 days (SD = 4.9) and was most severe at 5.7 (SD = 4.9) days. Lifetime endorsement of individual symptoms ranged from a high of 73.4% (anxious) to a low of 43.5% (nausea). The cluster analysis was significant, F(1, 122) = 215.6, p < .001, with good Bayesian information criteria (0.7). The two clusters are conceptualized here as HIGH (N = 73; 59%) and LOW (N = 51; 41%) endorsing, with a mean of 21.9 and 8.5 items endorsed. These data add to prior studies by suggesting high variability in the individual expression of opioid withdrawal symptoms. It may be time for the field to develop a consensus regarding opioid withdrawal symptom expression and measurement to enhance clinical care. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Older Adults' Perceptions About Using Intelligent Toilet Seats Beyond Traditional Care: Web-Based Interview Survey.

In contemporary society, age tech (age technology) represents a significant advancement in health care aimed at enhancing patient engagement, ensuring sustained independence, and promoting quality of life for older people. One innovative form of age tech is the intelligent toilet seat, which is designed to collect, analyze, and provide insights based on toileting logs and excreta data. Understanding how older people perceive and interact with such technology can offer invaluable insights to researchers, technology developers, and vendors. This study examined older adults' perspectives regarding the use of intelligent toilet seats. Through a qualitative methodology, this research aims to unearth the nuances of older people's opinions, shedding light on their preferences, concerns, and potential barriers to adoption. Data were collected using a web-based interview survey distributed on Amazon Mechanical Turk. The analyzed data set comprised 174 US-based individuals aged ≥65 years who voluntarily participated in this study. The qualitative data were carefully analyzed using NVivo (Lumivero) based on detailed content analysis, ensuring that emerging themes were coded and classified based on the conceptual similarities in the respondents' narratives. The analysis revealed 5 dominant themes encompassing the opinions of aging adults. The perceived benefits and advantages of using the intelligent toilet seat were grouped into 3 primary themes: health-related benefits including the potential for early disease detection, continuous health monitoring, and seamless connection to health care insights. Technology-related advantages include the noninvasive nature of smart toilet seats and leveraging unique and innovative data collection and analysis technology. Use-related benefits include ease of use, potential for multiple users, and cost reduction owing to the reduced need for frequent clinical visits. Conversely, the concerns and perceived risks were classified into 2 significant themes: psychological concerns, which included concerns about embarrassment and aging-related stereotypes, and the potential emotional impact of constant health monitoring. Technical performance risks include concerns centered on privacy and security, device reliability, data accuracy, potential malfunctions, and the implications of false positives or negatives. The decision of older adults to incorporate intelligent toilet seats into their daily lives depends on myriad factors. Although the potential health and technological benefits are evident, valid concerns that need to be addressed remain. To foster widespread adoption, it is imperative to enhance the advantages while simultaneously addressing and mitigating the identified risks. This balanced approach will pave the way for a more holistic integration of smart health care devices into the routines of the older population, ensuring that they reap the full benefits of age tech advancements.

Presentation matters: Effects of cigarette purchase task design on systematic data and purchasing behavior.

Hypothetical purchase tasks (HPTs) are effective tools for evaluating participants' demand for substances. The present study evaluated the effect of task presentation on producing unsystematic data and purchasing behavior in a sample of individuals who smoke cigarettes. Participants (n = 365) were recruited from Amazon Mechanical Turk and randomly assigned to complete two of three HPT presentations: List (prices on one page in an increasing order), Ascending (one price per page in an increasing order), or Random (one price per page in a random order). We evaluated outcomes using a mixed model regression with a random effect for participants. We observed a significant effect of task presentation on passing the criterion assessing consistency in effects of contiguous prices (i.e., Bounce; X²(2) = 13.31, p = .001). A significant effect of task presentation on Trend or Reversals from Zero was not observed. For purchasing behavior, we observed a significant effect of task presentation on R², X²(2) = 17.89, p < .001; BP₁, X²(2) = 13.64, p = .001; ln(α), X²(2) = 332.94, p < .001; and ln(Omax), X²(2) = 20.26, p < .001; we did not observe a significant effect of task presentation on ln(Q₀) or ln(Pmax). We recommend against using the Random HPT presentation to avoid unsystematic data. While the List and Ascending presentations do not differ across unsystematic criteria or purchasing behavior, the List presentation may be preferred due to participant experience. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Latent profiles of regulatory flexibility in alcohol use disorder: Associations with delay discounting and symptoms of depression, anxiety, and stress.

Regulatory flexibility (RF) involves three distinct components of self-regulation: context sensitivity, repertoire, and feedback responsiveness. Subgroups based on differences in RF have been identified in a general sample and are differentially associated with symptoms of anxiety and depression. However, potential RF profiles have not been examined in individuals with substance use disorders. This study examined RF subtypes in individuals with alcohol use disorder (AUD) and their associations with psychosocial outcomes (i.e., depression, anxiety, and stress) and delay discounting (a core feature of addiction). Individuals (n = 200) with an Alcohol Use Disorders Identification Test score of >16 (mean = 24.12 (±6.92)) were recruited from Amazon Mechanical Turk (mean = 37.26 years old (±11.41); 94 (47%) women). Participants completed the Context Sensitivity Index, the Flexible Regulation of Emotional Expression Scale, and the Coping Flexibility Scale to assess RF. Participants also completed an Adjusting Amount Delay Discounting Task and the Depression, Anxiety, and Stress Scale (DASS-21). Latent profile analyses (LPA) were used to identify patterns in RF deficits. Kruskal-Wallis and Dunn's tests were performed to examine differences in discounting rates and symptoms of depression, anxiety, and stress across RF profiles. The LPA revealed a 2-profile characterization, including (1) context sensitive regulators (CSR; n = 39) and (2) moderate flexibility regulators (MFR; n = 161). CSR demonstrated significantly lower symptoms of depression (p = 0.004), anxiety (p < 0.001), and stress (p < 0.001) than MFR. CSR also displayed significantly lower AUDIT scores (p = 0.031). Findings illustrate that among individuals with moderate-severe AUD, those high in context sensitivity coupled with moderate abilities in repertoire and feedback responsiveness have fewer symptoms of depression, anxiety, and stress. Together, context sensitivity may be an important and protective component of RF among individuals with AUD.