Real-world Choices Research Articles

Treatment preferences of patients with muscle invasive bladder cancer: A discrete choice experiment.

When faced with treatment options, patients are asked to participate in decision-making. We sought to determine which treatment aspects matter most for individuals treated for muscle invasive bladder cancer (MIBC), with an aim to improve understanding of patient preferences and what trade-offs patients are willing to accept. Our study consisted of a discrete choice experiment (DCE): a type of questionnaire used to elicit preferences in the absence of real-world choice. The DCE had five attributives, each with three levels. Participants were asked to complete a questionnaire in which they were asked to choose between two hypothetical MIBC treatments. The data were analysed using a conditional logit model, and preferences for, and trade-offs between, attributes were estimated. We recruited patients with MIBC who had either already completed, were undergoing or had yet to commence radical treatment for MIBC (n= 60). Participants indicated a strong preference for treatments that increased their life expectancy (p= <0.001), had a lower risk of long-term complications (p= <0.001) and less changes to their body image (p= <0.001). Changes to sexual wellbeing (p= 0.09) or an increase in acute side effects (p= 0.99) did not influence preferences. Patients were willing to accept treatments with higher risk of long-term complications to improve their life expectancy or body image. When deciding on the type of treatment, increased life expectancy is the most important consideration for people with MIBC. The risk of long-term complications and changes to overall body image as a result of treatment are also important. Our study also highlighted that patients are willing to accept a higher risk of long-term complications to improve other treatment outcomes. Understanding patient preferences is important for shared decision-making, which has an impact on quality of care for people living with MIBC.

Skewness preferences: Evidence from online poker

We test for skewness preferences in a large set of observational panel data on online poker games (n=4,450,585). Each observation refers to a choice between a safe option and a binary risk of winning or losing the game. Our setting offers a real-world choice situation with substantial incentives where probability distributions are simple, transparent, and known to the decision-makers. Individuals reveal a strong and robust preference for skewness, which is inconsistent with expected utility theory. The effect of skewness is most pronounced among experienced and unsuccessful players but remains significant in all subsamples that we investigate, in contrast to the effect of variance.

Attitudes of UK pathologists and judicial officers towards medicolegal view and grant examinations: a cross-sectional mixed-methods study

AimsDespite the 1988 ‘Dundee Initiative’, which maximised the use of view and grant examinations to reduce the invasive forensic autopsy rate in Tayside, the view and grant itself remains controversial....

Robot-assisted surgery and artificial intelligence-based tumour diagnostics: social preferences with a representative cross-sectional survey

BackgroundThe aim of this study was to assess social preferences for two different advanced digital health technologies and investigate the contextual dependency of the preferences.MethodsA cross-sectional online survey was performed among the general population of Hungary aged 40 years and over. Participants were asked to imagine that they needed a total hip replacement surgery and to indicate whether they would prefer a traditional or a robot-assisted (RA) hip surgery. To better understand preferences for the chosen method, the willingness to pay (WTP) method was used. The same assessment was conducted for preferences between a radiologist’s and AI-based image analysis in establishing the radiological diagnosis of a suspected tumour. Respondents’ electronic health literacy was assessed with the eHEALS questionnaire. Descriptive methods were used to assess sample characteristics and differences between subgroups. Associations were investigated with correlation analysis and multiple linear regressions.ResultsAltogether, 1400 individuals (53.7% female) with a mean age of 58.3 (SD = 11.1) years filled in the survey. RA hip surgery was chosen by 762 (54.4%) respondents, but only 470 (33.6%) chose AI-based medical image evaluation. Those who opted for the digital technology had significantly higher educational levels and electronic health literacy (eHEALS). The majority of respondents were willing to pay to secure their preferred surgical (surgeon 67.2%, robot-assisted: 68.8%) and image assessment (radiologist: 70.9%; AI: 77.4%) methods, reporting similar average amounts in the first (p = 0.677), and a significantly higher average amount for radiologist vs. AI in the second task (p = 0.001). The regression showed a significant association between WTP and income, and in the hip surgery task, it also revealed an association with the type of intervention chosen.ConclusionsIndividuals with higher education levels seem to accept the advanced digital medical technologies more. However, the greater openness for RA surgery than for AI image assessment highlights that social preferences may depend considerably on the medical situation and the type of advanced digital technology. WTP results suggest rather firm preferences in the great majority of the cases. Determinants of preferences and real-world choices of affected patients should be further investigated in future studies.

Application of Stochastic Programming in Agricultural and Newsvendor Problems and It's Application in Real Life

The study of making the best decision under risk management in a variety of areas of our lives is known as Stochastic Programming. We will go through two-stage Stochastic Linear Programming approaches for a variety of real-world choice issues, as well as how to solve them. We will achieve this by constructing stochastic linear programming models based on real-world situations like the well-known Farmer's situation and News Vendors problems. The influence of pricing, Stochastic Integer Linear Programming problem, second stage Stochastic Integer Linear Programming problem, first stage Stochastic Binary Linear Programming problem, risk aversion problem, and continuous function for random variables based on two-stage SLP with the aid of Farmer's problem will all be examined. We will address the Newsvendor’s problem with Deterministic Equivalent Stochastic Linear Programming, an extension of Deterministic Stochastic Linear Programming for risk aversion with a high number of decision variables and restrictions, utilizing the two-stage Stochastic Linear Programming approach once more. Hand calculation is a challenging way to acquire the solution to the problems. As a result, we will use the programming language AMPL to design computer solutions for tackling both farmer and newsvendor difficulties. We will also utilize MATLAB to create graphs for the farmer's problem's continuous function. Dhaka Univ. J. Sci. 72(1): 30-45, 2024 (January)

Graph-based methods for discrete choice

AbstractChoices made by individuals have widespread impacts—for instance, people choose between political candidates to vote for, between social media posts to share, and between brands to purchase—moreover, data on these choices are increasingly abundant. Discrete choice models are a key tool for learning individual preferences from such data. Additionally, social factors like conformity and contagion influence individual choice. Traditional methods for incorporating these factors into choice models do not account for the entire social network and require hand-crafted features. To overcome these limitations, we use graph learning to study choice in networked contexts. We identify three ways in which graph learning techniques can be used for discrete choice: learning chooser representations, regularizing choice model parameters, and directly constructing predictions from a network. We design methods in each category and test them on real-world choice datasets, including county-level 2016 US election results and Android app installation and usage data. We show that incorporating social network structure can improve the predictions of the standard econometric choice model, the multinomial logit. We provide evidence that app installations are influenced by social context, but we find no such effect on app usage among the same participants, which instead is habit-driven. In the election data, we highlight the additional insights a discrete choice framework provides over classification or regression, the typical approaches. On synthetic data, we demonstrate the sample complexity benefit of using social information in choice models.

Real-World Evaluation of Adjuvant Radiotherapy in Upper Tract Urothelial Carcinoma Patients: A Prospective Cohort Study.

Recommendations of adjuvant therapy after surgical resection of UTUC was updated in NCCN guideline of 2021.Adjuvant radiotherapy combined with chemotherapy was recommended for patients of T3-4 or N+. However, the renal insufficiency after RNU limits the use of adjuvant chemotherapy of UTUC. Adjuvant radiotherapy alone may be another option. This study aims to verify the real-world choices and effectiveness of adjuvant therapies in UTUC patients with recurrence risk factors. Patients with high recurrence factors (T2-4, N+, G3 and multifocal tumor) of UTUC patients after radical nephroureterectomy (RNU) in our hospital since 2020 were prospectively recommended to use adjuvant therapy. Patients' adverse events, recurrence and survival rates were investigated. This trial was registered at Chinese Clinical Trial Registry (ChiCTR2100044477). Between 2020 and 2022, 195 UTUC patients with recurrence factors had been enrolled. The median follow up time was 13 months. Nearly half of the patients (90 patient) with high-risk factors refused to receive adjuvant treatment. The other 105 patients received adjuvant therapy. Thirty-six patients (34.3%) received adjuvant chemotherapy; 43 patients (41.0%) received adjuvant radiotherapy. Fifteen patients (14.3%) received adjuvant combination therapy (chemo-radiotherapy). The 1-year recurrence-free survival (RFS) rates were59.4% and77.5%, respectively in control group and adjuvant therapy group (P = 0.008). The 1-year overall survival (OS) rates were 89.7% and 98.2%, respectively in control group and adjuvant therapy group (P = 0.011). The 1-year recurrence-free survival (RFS) rates of adjuvant chemotherapy and radiotherapy were 58.6%.and 90.2% (P = 0.003). The combination therapy group had the most serious side effects, grade 3 and 2 hematotoxicity were 40% and 20% respectively. Grade 3 hematotoxicity were 22.2% for adjuvant chemotherapy group. Side effects of adjuvant radiotherapy alone were mild. Only one patient had grade 3 hematotoxicity. Although both NCCN guidelines suggest UTUC patient with more than T2 stage and N+ to receive adjuvant therapy, nearly half of them refused any adjuvant therapies. The prognosis of these patients without adjuvant therapy were poor. The side effects of chemoradiotherapy in UTUC is serious. Adjuvant radiotherapy has less side effects and the effectiveness are equivalent to adjuvant chemotherapy in high risk UTUC patients.

Behavioural entropy as an individual difference

Introduction &amp; BackgroundThe availability of digital footprints data have provided new and invaluable opportunities for personality psychologists. One way to study individual differences with digital footprints data is through the lens of entropy, which is a measure of the degree of randomness of a probabilistic system. When applied to individual behaviour, entropy captures how predictable an individual’s (e.g., shopping) pattern of behaviour is over time. In this study, we proposed that entropy can be conceptualised as a proxy measure of Openness, a Big Five personality trait. We further studied entropy’s associations with external behavioural outcome, namely the voting outcomes of the 2016 EU ‘Brexit’ referendum in the UK. This referendum asked UK citizens whether the UK should stay in the EU (vote Remain) or leave the EU (vote Leave). It has been demonstrated that Leave (or ‘Brexit’) vote was heavily influenced by attitudes towards immigration which is associated with values of being less ‘open’ to other cultures, and therefore we expected that entropy – or tendency to try new things – would be associated positively with voting Remain. Objectives &amp; ApproachWith a massive data set (20,550,952 customers) provided by a large UK retail chain over a period of 2 years, we computed aggregated entropy for the Local Authority Districts (LADs). Further we investigated the relationships between entropy and personality traits, as well as between entropy and the referendum outcomes, at geographically aggregated levels. Relevance to Digital FootprintsThis study brought together digital footprints data with external sources. This study also identified population level insights by examining personality traits and their utility in predicting sociopolitical outcomes. ResultsResults of a linear regression model showed strong evidence supporting a positive relationship between entropy and Openness (b = 0.30, t = 3.30, p = .001), and a negative relationship between entropy and Neuroticism (b = -0.48, t = -3.53, p &lt; .001). Further, entropy was associated with outcomes of the EU referendum in each LAD. Results of another linear regression model showed strong evidence supporting a positive relationship between the percentage of Remain votes and entropy (b = 0.28, t = 4.80, p &lt; .001). Conclusions &amp; ImplicationsThe relationship between Big Five trait Openness and entropy provided support that personality can be inferred from digital footprints data such as shopping history records. The positive relationship between entropy and the proportion of Remain vote demonstrated that people who are more open to new experiences voted Remain. Our findings have broader implications showing that it is possible to find associations between personality traits extrapolated from shopping data and real-world choices.

Decoy Effects in a Massive Real-World Shopping Dataset

Introduction &amp; BackgroundA key premise of rational choice prescribes that decision-makers ought to ignore irrelevant, inferior alternative options. Consider for example the choice between two wines, where the value of an option is computed across two dimensions: quality and price. When deliberating about which wine to choose, one’s propensity to choose between two otherwise equally preferred wines should be not influenced by the introduction of a third clearly inferior option (being both of lower quality and more expensive than one of the original alternatives). Yet, a large body of work suggests that both people and animals routinely violate this premise in their decisions—in laboratory experiments, the introduction of irrelevant “decoys” into a choice set biases decision-making. However, these decoy effects are less understood in large-scale contexts of real-world decision-making, where choice sets can be large, and preference informed by consumers’ histories of experience.&#x0D; Objectives &amp; ApproachWe explored whether the presence of irrelevant, “decoy” alternative options influenced wine purchases in a large real-world dataset of UK wine purchases. From shopping transaction records, we extracted all red and white wine purchases over a one month period. Our analyses examined 3.6M wine purchases made by 755,158 unique customers.&#x0D; Relevance to Digital FootprintsWe deployed shopping history data which is a popular example for digital footprints allowing us to track people’s choices and decisions over long periods of time.&#x0D; ResultsWe find that among pairs of wines that appear across many different contexts (i.e., stores with different product assortments) and trade off on quality and price, the presence of decoy options— similar options that were dominated by the focal option—made consumers more likely to purchase the focal option (a hallmark of the “attraction effect”). Furthermore, we find that sensitivity to this effect depended on consumers’ history of experience with the product, such that frequent shoppers were less likely to be sensitive to decoy effects in their purchase behaviour.&#x0D; Conclusions &amp; ImplicationsWe examined whether real-world consumer decisions, evidenced in a large dataset of wine purchases in the United Kingdom, were subject to a canonical bias in multiattribute choice: the attraction effect. We found that wine purchases were systematically biased in favour of wines that dominated choice sets—a bias which was not observed when choice sets were not dominated. Together, these results extend laboratory-based accounts of decoy effects to real-world choices, and demonstrate how digital footprints data analysis can be linked to health, especially in terms of decision making which is associated with negative health outcomes.

Making decisions based on multiple criteria in developing a league season teaching strategy for understanding playing functionalities

In order to grasp the playing functions that utilize criteria for decision-making (DM) approaches, this paper offers a League season learning selection issue. The decision criteria to assess several game-based learning options are outlined, and a real-world choice dilemma is provided. Finding the most effective League season learning among playing functions is the goal. The needs for a League season of learning, such as Cognitive Methodologies, Gameplay Characteristics, Psychological Reactions, Accessibility, Users, as well as its environmental and societal impacts, are taken into consideration, leading to the identification of six primary criteria and 22 sub-criteria. Analytical Hierarchy Process (AHP) is used to calculate the criterion weights. The Preference Ranking Organization Method for Enrichment Evaluations and Vlse Kriterijumska Optimizacija I Kompromisno Resenje techniques are used to rank and choose between four possibilities. The outcomes of the Preference Ranking Organization Method for Enrichment Evaluations and Vlse Kriterijumska Optimizacija I Kompromisno Resenje procedures are also contrasted with those of the Complex Proportional Assessment, Multi-Atributive Ideal-Real Comparative Analysis and Multi-Attributive Border Approximation Area Comparison approaches. The results of the rankings of the alternatives produced by each approach all recommend the same choice as the best. Thus, it can be said that Preference Ranking Organization Method for Enrichment Evaluations, Vlse Kriterijumska Optimizacija I Kompromisno Resenje, Complex Proportional Assessment, Multi-Atributive Ideal-Real Comparative Analysis and Multi-Attributive Border Approximation Area Comparison approaches may be successfully employed for selection issues in game-based learning, as well as generally for other forms of multi-criteria decision problems with finite number of choices.

Brain response in heavy drinkers during cross-commodity alcohol and money discounting with potentially real rewards: A preliminary study

BackgroundAlcohol use disorder (AUD) is associated with exaggerated preference for immediate rewards, a candidate endophenotype for use disorders. Addiction symptomology is often well-described by the preference for immediate intoxication over other delayed prosocial rewards. We measured brain activation in AUD-implicated regions during a cross-commodity delay discounting (CCD) task with choices for immediate alcohol and delayed money. MethodsHeavy drinkers (n=24) experienced a brief intravenous alcohol infusion prime, regained sobriety, then chose between ‘One Shot’ and delayed money in an adjusting delay CCD task (sober and intoxicated); also during fMRI (sober). Participants also performed a behavioral sensation seeking task and completed self-report inventories of other risk factors. We assessed brain activation to choices representing immediate intoxication versus delayed money rewards in a priori regions of interest defined within the framework of Addictions NeuroImaging Assessment. ResultsActivation to CCD choice versus control trials activated paralimbic and ventral frontal cortical regions, including orbital and medial prefrontal cortex, posterior cingulate/retrosplenial cortex, angular and superior frontal gyri. We detected no differences between immediate or delayed choices. Left medial orbitofrontal cortex activation correlated with alcohol-induced wanting for alcohol; females showed greater activation than males. Behavioral sensation seeking correlated with right nucleus accumbens task engagement. ConclusionsAlcohol decision-making elicited activation in regions governing reward, introspection, and executive decision-making in heavy drinkers, demonstrating the utility of laboratory tasks designed to better model real-world choice. Our findings suggest that the brain processes subserving immediate and delayed choices are mostly overlapping, even with varied commodities.

First-line immune checkpoint inhibitors alone or in combination with chemotherapy in real-life elderly patients with advanced non-small cell lung cancer (NEJ057).

9012 Background: Immune checkpoint inhibitor (ICI) plus chemotherapy is now a standard treatment for non-small cell lung cancer (NSCLC) without targetable oncogene alternations. However, the efficacy and safety of ICI plus chemotherapy (ICI-chemo) in 75 years or older patients have not been elucidated. The aim of this study is to reveal the real-world choice of first-line drugs in elderly patients (pts) and evaluate the efficacy and safety of ICI-chemo. Methods: We conducted a multicenter (58 centers in Japan), retrospective cohort study of consecutive 75 years or older pts with clinical stage IIIB, IIIC, IV, postoperative or radiotherapy recurrent NSCLC who started first-line systemic therapy between December 2018 and March 2021. Pts with epidermal growth factor receptor mutations, anaplastic lymphoma kinase rearrangements, or whose first-line systemic therapy was molecular targeted therapy were excluded. Results: A total of 1245 pts were enrolled: median (range) age 78 (75-95) years; 278 (22%) female; 367 (29%) ECOG PS 0, 680 (55%) PS 1 and 171 (14%) PS 2; 678 (54%) adenocarcinoma; PD-L1 tumor proportion score 268 (22%) &lt;1%, 387 (31%) 1-49% and 410 (34%) ≥50%; 354 (28%) ICI-chemo, 425 (34%) ICI alone, 311 (25%) platinum-doublet chemotherapy and 155 (12%) single agent chemotherapy. The median overall survival (OS) was 20.0 months (95%CI, 17.1–23.6) in the ICI-chemo group, 19.8 months (95%CI, 16.5–23.8) in the ICI alone group, 12.8 months (95%CI, 10.7–15.6) in the platinum-doublet chemotherapy group and 9.5 months (95%CI, 7.4–13.4) in the single agent chemotherapy group, respectively. After propensity score matching, there was no difference in OS and progression-free survival (PFS) between ICI-chemo group (n=96) and ICI alone group (n=95) in PD-L1 ≥1% (OS: HR, 0.98; 95% CI, 0.67-1.42, PFS: HR, 0.92; 95% CI, 0.67-1.25). Regardless of PD-L1 subgroups (1-49% or ≥50%), no significant differences in OS and PFS were observed. Concerning safety, Grade 3 or higher immune-related adverse events (irAEs) occurred in 86 pts (24.3%) in the ICI-chemo group and 76 pts (17.9%) in the ICI alone group (p = 0.03). The number of pts who required steroids for irAEs was 115 (32.5%) in the ICI-chemo group and 105 (24.7%) in the ICI alone group (p = 0.02). Pneumonitis was reported in 83 pts (23.4%) in the ICI-chemo group and 66 pts (15.6%) in the ICI alone group (p = 0.006). Conclusions: In real-world data for pts aged 75 years or older, ICI-chemo did not improve survival and increased the incidence of grade 3 or higher irAEs compared to ICI alone. Based on our results, ICI alone is recommended for elderly pts with PD-L1 positive NSCLC. Clinical trial information: UMIN000046700 .

Decision Making About Disease-Modifying Treatments for Relapsing-Remitting Multiple Sclerosis: Stated Preferences and Real-World Choices.

People with relapsing-remitting multiple sclerosis can benefit from disease-modifying treatments (DMTs). Several DMTs are available that vary in their efficacy, side-effect profile and mode of administration. We aimed to measure the preferences ofpeople with relapsing-remitting multiple sclerosis for DMTs using a discrete choice experiment and to assess which stated preference attributes correlate with the attributes of the DMTs they take in the real world. Discrete choice experiment attributes were developed from literature reviews, interviews and focus groups. In a discrete choice experiment, participants were shown two hypothetical DMTs, then chose whether they preferred one of the DMTs or no treatment. A mixed logit model was estimated from responses and individual-level estimates of participants' preferences conditional on their discrete choice experiment choices calculated. Logit models were estimated with stated preferences predicting current real-world on-treatment status, DMT mode of administration and current DMT. A stated intrinsic preference for taking a DMT was correlated with currently taking a DMT, and stated preferences for mode of administration were correlated with the modes of administration of the DMTs participants were currently taking. Stated preferences for treatment effectiveness and adverse effects were not correlated with real-world behaviour. There was variation in which discrete choice experiment attributes correlated with participants' real-world DMT choices. This may indicate patient preferences for treatment efficacy/risk are not adequately taken account of in prescribing. Treatment guidelines must ensure they take into consideration patients' preferences and improve communication around treatment efficacy/risk.

Intuitive decision making predicts satisfaction &amp; happiness with real-world choices

Intuitive decision making predicts satisfaction &amp; happiness with real-world choices

Context-dependent choice and evaluation in real-world consumer behavior

A body of work spanning neuroscience, economics, and psychology indicates that decision-making is context-dependent, which means that the value of an option depends not only on the option in question, but also on the other options in the choice set—or the ‘context’. While context effects have been observed primarily in small-scale laboratory studies with tightly constrained, artificially constructed choice sets, it remains to be determined whether these context effects take hold in real-world choice problems, where choice sets are large and decisions driven by rich histories of direct experience. Here, we investigate whether valuations are context-dependent in real-world choice by analyzing a massive restaurant rating dataset as well as two independent replication datasets which provide complementary operationalizations of restaurant choice. We find that users make fewer ratings-maximizing choices in choice sets with higher-rated options—a hallmark of context-dependent choice—and that post-choice restaurant ratings also varied systematically with the ratings of unchosen restaurants. Furthermore, in a follow-up laboratory experiment using hypothetical choice sets matched to the real-world data, we find further support for the idea that subjective valuations of restaurants are scaled in accordance with the choice context, providing corroborating evidence for a general mechanistic-level account of these effects. Taken together, our results provide a potent demonstration of context-dependent choice in real-world choice settings, manifesting both in decisions and subjective valuation of options.

Demonstration of three-dimensional contact point determination and contour reconstruction during active whisking behavior of an awake rat.

The rodent vibrissal (whisker) system has been studied for decades as a model of active touch sensing. There are no sensors along the length of a whisker; all sensing occurs at the whisker base. Therefore, a large open question in many neuroscience studies is how an animal could estimate the three-dimensional (3D) location at which a whisker makes contact with an object. In the present work we simulated the shape of a real rat whisker to demonstrate the existence of several unique mappings from triplets of mechanical signals at the whisker base to the three-dimensional whisker-object contact point. We then used high speed video to record whisker deflections as an awake rat whisked against a peg, and used the mechanics resulting from those deflections to extract the contact points along the peg surface. These results demonstrate that measurement of specific mechanical triplets at the base of a biological whisker can enable 3D contact point determination during natural whisking behavior. The approach is viable even though the biological whisker has non-ideal, non-planar curvature, and even given the rat’s real-world choices of whisking parameters. Visual intuition for the quality of the approach is provided in a video that shows the contour of the peg gradually emerging during active whisking behavior.

0299 The Effects of Chronic Sleep Restriction on Calorie and Macronutrient Intake

Abstract Introduction Chronic sleep restriction (CSR) has been associated with increased calorie intake and increased consumption of fats and carbohydrates, with inconsistent changes in protein. However, the majority of studies have either been observational field studies with no sleep intervention, or laboratory-based studies where food availability may not have reflected participants’ real-world choices. We hypothesized that calorie, fat, and carbohydrate intake would increase during a week of imposed CSR compared to a week of sleep satiation (SS) among individuals living in their home environment. Methods Twelve healthy participants (6 females) kept a fixed sleep-wake schedule, with a constant waketime, at home for four weeks (actigraphy confirmed compliance). During weeks one and three, participants maintained 9 hours in bed. During weeks two and four, participants were randomly assigned to experimental weeks of 5 and 9 hours of time-in-bed in a crossover design. Participants documented their food consumption during both experimental weeks using a picture-based meal logging application (MealLogger). Intake of calories and macronutrients were classified by two blinded evaluators. Descriptive statistics were calculated in SAS (Cary, NC). Results Participants averaged 4.43 ± 0.33 (SD) hours of sleep per night during CSR compared to 7.42 ± 0.42 hours during SS. Participants consumed a daily average of 1812 ± 672 kilocalories, 71 ± 31 grams of total fat, 217 ± 69 grams of carbohydrates, and 84 ± 40 grams of protein during CSR, compared to 1682 ± 514 kilocalories, 68 ± 23 grams of total fat, 198 ± 61 grams of carbohydrates, and 77 ± 32 grams of protein during SS. Conclusion Preliminary descriptive findings suggest that, on average, participants consumed more calories, from an increase in consumption of each macronutrient group, during a week of sleep restriction compared to a week of sleep satiation. Further analysis is needed to determine whether these differences are statistically different and to identify when calories were consumed in each of the experimental conditions. Support (If Any) Supported by the Force Health Protection Program of the Office of Naval Research (SAA2402925-1, Contract Award no. N0001418IP00050) and the NASA Airspace Operations and Safety Program, System-Wide Safety.

How Different Are Industrial, Artisanal and Homemade Soft Breads?

Soft bread has a significant relevance in modern diets, and its nutritional impact on human health can be substantial. Within this product category, there is an extensive range of ingredients, formulations, and processing methods, which all contribute to the vast diversity found in the final products. This work compared the impact of three different processing methods (industrial, artisanal, and homemade preparation) on the technological (formulation and processing, as they are interconnected in real-life conditions), nutritional, and physicochemical properties of soft bread. In total, 24 types of soft bread were analyzed: 10 industrial, 6 artisanal, and 8 homemade. Although production diagrams were similar among the three methods, industrial recipes contained on average more ingredients and more additives. Industrial bread was lower in saturated fat compared to the other two groups, but contained more sugar than homemade bread. The physical properties of all loaves were comparable, with the exception of higher crumb elasticity in industrial bread compared to homemade. An analysis of volatile molecules revealed more lipid oxidation markers in industrial bread, more fermentation markers in artisanal bread, and fewer markers of Maillard reactions in homemade bread. Chemical reactions during processing seem to be the principal criterion making possible to discriminate the different processing methods. These results offer a quantitative assessment of the differences within a single product category, reflecting the real-world choices for consumers.

Neural Signature of Buying Decisions in Real-World Online Shopping Scenarios - An Exploratory Electroencephalography Study Series.

The neural underpinnings of decision-making are critical to understanding and predicting human behavior. However, findings from decision neuroscience are limited in their practical applicability due to the gap between experimental decision-making paradigms and real-world choices. The present manuscript investigates the neural markers of buying decisions in a fully natural purchase setting: participants are asked to use their favorite online shopping applications to buy common goods they are currently in need of. Their electroencephalography (EEG) is recorded while they view the product page for each item. EEG responses to pages for products that are eventually bought are compared to those that are discarded. Study 1 repeats this procedure in three batches with different participants, product types, and time periods. In an explorative analysis, two neural markers for buying compared to no-buying decisions are discovered over all three batches: frontal alpha asymmetry peak and frontal theta power peak. Occipital alpha power at alpha asymmetry peaks differs in only one of the three batches. No further significant markers are found. Study 2 compares the natural product search to a design in which subjects are told which product pages to view. In both settings, the frontal alpha asymmetry peak is increased for buying decisions. Frontal theta peak increase is replicated only when subjects search through product pages by themselves. The present study series represents an attempt to find neural markers of real-world decisions in a fully natural environment and explore how those markers can change due to small adjustments for the sake of experimental control. Limitations and practical applicability of the real-world approach to studying decision-making are discussed.

Abstract 10625: A RE-AIM Evaluation of Lay Advisor Interventions to Improve Hypertension Outcomes - A Systematic Review

Context: Lay advisor interventions improve hypertension outcomes, especially in vulnerable populations. However, the incremental benefit of adding these interventions, and factors that could inform their widespread implementation, are unknown. Objective: Inform real-world choices about implementation of lay advisor hypertension interventions. Methods: We systematically searched several databases, including Medline, CINAHL, SCOPUS, from January 1, 1980 to December 2020. We included all study designs of hypertension interventions delivered solely by a lay advisor. Search terms for lay advisors included peers, community health workers, barbers, and faith-based activists. Studies of lay advisor interventions combined with other health professional interventions were excluded. Two independent reviewers coded eligible articles using a validated data extraction tool based on the Reach, Efficacy, Adoption, Implementation, Maintenance (RE-AIM) framework. Results: Of 5986 unique citations, 21 were eligible for inclusion. Most studies showed improvements in hypertension outcomes, but outcomes predominantly were measured shortly after intervention completion. Inclusion/exclusion criteria and lay advisor recruitment and training were usually well-described, and primary outcomes were reported. Participation rates were infrequently reported. None reported adverse outcomes. Only 14% (3 of 21) of studies reported qualitative assessments. External validity domains of adoption, implementation, and maintenance were rarely reported. In the adoption domain, no study reported comparisons of delivery and non-delivery settings or staff representativeness. Presence of previous lay advisor programs in the community improved adoption and implementation. One study mentioned costs of implementation for maintenance. Conclusion: Few studies have examined the incremental effectiveness of adding a lay advisor intervention for hypertension outcomes, most show improvement. Indicators of external validity of lay advisor interventions are not well-reported. Future research designs should improve reporting across RE-AIM dimensions, particularly indicators of external validity, including qualitative assessments.