Associations between news coverage, social media discussions, and search trends about celebrity deaths, screening, and other colorectal cancer-related events.

OBJECTIVE: Colorectal cancer (CRC) is the third leading cause of cancer death among both men and women in the United States. CRC-related events may increase media coverage and public attention, boosting awareness and prevention. This study examined associations between several types of CRC events (including unplanned celebrity cancer deaths and planned events like national CRC awareness months, celebrity screening behavior, and screening guideline changes) and news coverage, Twitter discussions, and Google search trends about CRC and CRC screening. METHODS: We analyzed data from U.S. national news media outlets, posts scraped from Twitter, and Google Trends on CRC and CRC screening during a three-year period from 2020 to 2022. We used burst detection methods to identify temporal spikes in the volume of news, tweets, and search after each CRC-related event. RESULTS: There is a high level of heterogeneity in the impact of celebrity CRC events. Celebrity CRC deaths were more likely to precede spikes in news and tweets about CRC overall than CRC screening. Celebrity screening preceded spikes in news and tweets about screening but not searches. Awareness months and screening guideline changes did precede spikes in news, tweets, and searches about screening, but these spikes were inconsistent, not simultaneous, and not as large as those events concerning most prominent public figures. CONCLUSIONS: CRC events provide opportunities to increase attention to CRC. Media and public health professionals should actively intervene during CRC events to increase emphasis on CRC screening and evidence-based recommendations.

Using narratives to correct politically charged health misinformation and address affective belief echoes.

BACKGROUND: In May 2020, news outlets reported misinformation about the Centers for Disease Control (CDC) related to COVID-19. Correcting misinformation about outbreaks and politics is particularly challenging. Affective belief echoes continue to influence audiences even after successful correction. Narrative and emotional flow scholarship suggest that a narrative corrective with a positive ending could reduce belief echoes. Therefore, this study investigated the efficacy of a narrative corrective with a relief ending for correcting misinformation about the CDC. METHODS: Between 29 May and 4 June 2020, we tested the effectiveness of a narrative to correct this misinformation. Participants in the United States (N = 469) were enrolled via Qualtrics panels in an online message experiment and randomized to receive a narrative corrective, a didactic corrective or no corrective. RESULTS: The narrative corrective resulted in lower endorsement of the misinformation compared with the control and the didactic corrective. The narrative corrective had a positive indirect effect on perceived CDC competence and mask wearing intentions for politically moderate and conservative participants via relief. CONCLUSIONS: Public health institutions, such as the CDC, should consider utilizing narrative messaging with positive emotion endings to correct misinformation. Narratives better address affective belief echoes, particularly for counter-attitudinal audiences.

SCALE-UP II: protocol for a pragmatic randomised trial examining population health management interventions to increase the uptake of at-home COVID-19 testing in community health centres.

INTRODUCTION: SCALE-UP II aims to investigate the effectiveness of population health management interventions using text messaging (TM), chatbots and patient navigation (PN) in increasing the uptake of at-home COVID-19 testing among patients in historically marginalised communities, specifically, those receiving care at community health centres (CHCs). METHODS AND ANALYSIS: The trial is a multisite, randomised pragmatic clinical trial. Eligible patients are >18 years old with a primary care visit in the last 3 years at one of the participating CHCs. Demographic data will be obtained from CHC electronic health records. Patients will be randomised to one of two factorial designs based on smartphone ownership. Patients who self-report replying to a text message that they have a smartphone will be randomised in a 2×2×2 factorial fashion to receive (1) chatbot or TM; (2) PN (yes or no); and (3) repeated offers to interact with the interventions every 10 or 30 days. Participants who do not self-report as having a smartphone will be randomised in a 2×2 factorial fashion to receive (1) TM with or without PN; and (2) repeated offers every 10 or 30 days. The interventions will be sent in English or Spanish, with an option to request at-home COVID-19 test kits. The primary outcome is the proportion of participants using at-home COVID-19 tests during a 90-day follow-up. The study will evaluate the main effects and interactions among interventions, implementation outcomes and predictors and moderators of study outcomes. Statistical analyses will include logistic regression, stratified subgroup analyses and adjustment for stratification factors. ETHICS AND DISSEMINATION: The protocol was approved by the University of Utah Institutional Review Board. On completion, study data will be made available in compliance with National Institutes of Health data sharing policies. Results will be disseminated through study partners and peer-reviewed publications. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov: NCT05533918 and NCT05533359.

Political Party Collective Norms, Perceived Norms, and Mask Wearing Behavior: A Test of the Theory of Normative Social Behavior.

The theory of normative social behavior (TNSB) postulates that people are influenced by others' behaviors, which they observe from messages and experience. In addition to focusing on perceived (i.e., descriptive and injunctive) norms, the TNSB was expanded to include collective norms, which represent what people actually do. Testing this expanded theoretical model, the current study examined whether two types of collective norms - collective political norms and collective regional norms - interacted with descriptive norms to influence pandemic mask wearing behavior expectations among U.S. adults (N = 444). The interaction was statistically significant for collective political norms (ß = -.74, p = .009) but not collective regional norms (ß = -.16, p = .85). Specifically, descriptive norms were related to increased mask wearing expectation for all values of political party collective norms, but the effects were stronger when political party collective norms were low (i.e., low mask wearing behavior was normative). The findings support the inclusion of collective norms in the TNSB, clarify the relationships among different types of norms, and provide insights for norms-based interventions.

Framing COVID-19 Preprint Research as Uncertain: A Mixed-Method Study of Public Reactions.

During the COVID-19 pandemic, journalists were encouraged to convey uncertainty surrounding preliminary scientific evidence, including mentioning when research is unpublished or unverified by peer review. To understand how public audiences interpret this information, we conducted a mixed method study with U.S. adults. Participants read a news article about preprint COVID-19 vaccine research in early April 2021, just as the vaccine was becoming widely available to the U.S. public. We modified the article to test two ways of conveying uncertainty (hedging of scientific claims and mention of preprint status) in a 2 × 2 between-participants factorial design. To complement this, we collected open-ended data to assess participants' understanding of the concept of a scientific preprint. In all, participants who read hedged (vs. unhedged) versions of the article reported less favorable vaccine attitudes and intentions and found the scientists and news reporting less trustworthy. These effects were moderated by participants' epistemic beliefs and their preference for information about scientific uncertainty. However, there was no impact of describing the study as a preprint, and participants' qualitative responses indicated a limited understanding of the concept. We discuss implications of these findings for communicating initial scientific evidence to the public and we outline important next steps for research and theory-building.

Global prevalence and content of information about alcohol use as a cancer risk factor on Twitter.

OBJECTIVES: Alcohol use is a major risk factor for several forms of cancer, though many people have limited knowledge of this link. Public health communicators and cancer advocates desire to increase awareness of this link with the long-term goal of reducing cancer burden. The current study is the first to examine the prevalence and content of information about alcohol use as a cancer risk on social media internationally. METHODS: We used a three-phase process (hashtag search, dictionary-based auto-identification of content, and human coding of content) to identify and evaluate information from Twitter posts between January 2019 and December 2021. RESULTS: Our hashtag search retrieved a large set of cancer-related tweets (N = 1,122,397). The automatic search process using an alcohol dictionary identified a small number of messages about cancer that also mentioned alcohol (n = 9061, 0.8%), a number that got small after adjusting for human coded estimates of the dictionary precision (n = 5927, 0.5%). When cancer-related messages also mentioned alcohol, 82% (n = 1003 of 1225 examined through human coding) indicated alcohol use as a risk factor. Coding found rare instances of problematic information (e.g., promotion of alcohol, misinformation) in messages about alcohol use and cancer. CONCLUSIONS: Few social media messages about cancer types that can be linked to alcohol mention alcohol as a cancer risk factor. If public health communicators and cancer advocates want to increase knowledge and understanding of alcohol use as a cancer risk factor, efforts will need to be made on social media and through other communication platforms to increase exposure to this information over time.

Multi-Institutional Analysis of Cancer Patient Exposure, Perceptions, and Trust in Information Sources Regarding Complementary and Alternative Medicine.

PURPOSE: Complementary and alternative medicine (CAM) use during cancer treatment is controversial. We aim to evaluate contemporary CAM use, patient perceptions and attitudes, and trust in various sources of information regarding CAM. METHODS: A multi-institutional questionnaire was distributed to patients receiving cancer treatment. Collected information included respondents' clinical and demographic characteristics, rates of CAM exposure/use, information sources regarding CAM, and trust in each information source. Comparisons between CAM users and nonusers were performed with chi-squared tests and one-way analysis of variance. Multivariable logistic regression models for trust in physician and nonphysician sources of information regarding CAM were evaluated. RESULTS: Among 749 respondents, the most common goals of CAM use were management of symptoms (42.2%) and treatment of cancer (30.4%). Most CAM users learned of CAM from nonphysician sources. Of CAM users, 27% reported not discussing CAM with their treating oncologists. Overall trust in physicians was high in both CAM users and nonusers. The only predictor of trust in physician sources of information was income >$100,000 in US dollars per year. Likelihood of trust in nonphysician sources of information was higher in females and lower in those with graduate degrees. CONCLUSION: A large proportion of patients with cancer are using CAM, some with the goal of treating their cancer. Although patients are primarily exposed to CAM through nonphysician sources of information, trust in physicians remains high. More research is needed to improve patient-clinician communication regarding CAM use.

Temporal frames, temporal focus, and behavioral expectations: The persuasive impact of near and distant threats.

BACKGROUND: Ultraviolet (UV) photography and photoaging visuals make hidden sun damage visible to the naked eye, granting the potential to create messages that vary in temporal dimensionality. As UV photos depict immediate skin damage, the photo communicated that exposure in sun causes invisible damage to the young truck driver (near temporal frame) and visible damage (e.g., wrinkles) to the old truck driver (distant temporal frame). OBJECTIVE: The current study examines the moderating effects of loss/gain frames and temporality variables on the relationship between temporal framing and sun safe behavioral expectations. METHOD: U.S. adults (N = 897) were assigned to a 2 (near/distant temporal frame) × 2 (gain/loss frame) between-participants experiment. RESULTS: The loss frame triggered greater fear compared to the gain frame, this fear forms an indirect path where loss frames increase fear and fear increases changes in sun safe behavioral expectations. Participants exposed to the distant frame had increased behavior expectations if either of the two temporality variables (CFC - future or current focus) were low. Participants with low temporality indicators (i.e., CFC - future, current focus, or future focus) exposed to the gain frame had increased behavior expectations. CONCLUSIONS: The findings demonstrate the potential utility of temporal frames as a tool for designing strategic health messages.

Short Severe Energy Restriction with Refueling Reduces Body Mass without Altering Training-Associated Performance Improvement.

PURPOSE: We investigated short-term (9 d) exposure to low energy availability (LEA) in elite endurance athletes during a block of intensified training on self-reported well-being, body composition, and performance. METHODS: Twenty-three highly trained race walkers undertook an ~3-wk research-embedded training camp during which they undertook baseline testing and 6 d of high energy/carbohydrate (HCHO) availability (40 kcal·kg FFM -1 ·d -1 ) before being allocated to 9 d continuation of this diet ( n = 10 M, 2 F) or a significant decrease in energy availability to 15 kcal·kg FFM -1 ·d -1 (LEA: n = 10 M, 1 F). A real-world 10,000-m race walking event was undertaken before (baseline) and after (adaptation) these phases, with races being preceded by standardized carbohydrate fueling (8 g·kg body mass [BM] -1 for 24 h and 2 g·kg BM -1 prerace meal). RESULTS: Dual-energy x-ray absorptiometry-assessed body composition showed BM loss (2.0 kg, P < 0.001), primarily due to a 1.6-kg fat mass reduction ( P < 0.001) in LEA, with smaller losses (BM = 0.9 kg, P = 0.008; fat mass = 0.9 kg, P < 0.001) in HCHO. The 76-item Recovery-Stress Questionnaire for Athletes, undertaken at the end of each dietary phase, showed significant diet-trial effects for overall stress ( P = 0.021), overall recovery ( P = 0.024), sport-specific stress ( P = 0.003), and sport-specific recovery ( P = 0.012). However, improvements in race performance were similar: 4.5% ± 4.1% and 3.5% ± 1.8% for HCHO and LEA, respectively ( P < 0.001). The relationship between changes in performance and prerace BM was not significant ( r = -0.08 [-0.49 to 0.35], P = 0.717). CONCLUSIONS: A series of strategically timed but brief phases of substantially restricted energy availability might achieve ideal race weight as part of a long-term periodization of physique by high-performance athletes, but the relationship between BM, training quality, and performance in weight-dependent endurance sports is complicated.

Using ChatGPT to evaluate cancer myths and misconceptions: artificial intelligence and cancer information.

Data about the quality of cancer information that chatbots and other artificial intelligence systems provide are limited. Here, we evaluate the accuracy of cancer information on ChatGPT compared with the National Cancer Institute's (NCI's) answers by using the questions on the "Common Cancer Myths and Misconceptions" web page. The NCI's answers and ChatGPT answers to each question were blinded, and then evaluated for accuracy (accurate: yes vs no). Ratings were evaluated independently for each question, and then compared between the blinded NCI and ChatGPT answers. Additionally, word count and Flesch-Kincaid readability grade level for each individual response were evaluated. Following expert review, the percentage of overall agreement for accuracy was 100% for NCI answers and 96.9% for ChatGPT outputs for questions 1 through 13 (ĸ = ‒0.03, standard error = 0.08). There were few noticeable differences in the number of words or the readability of the answers from NCI or ChatGPT. Overall, the results suggest that ChatGPT provides accurate information about common cancer myths and misconceptions.

International medical tourism of US cancer patients for alternative cancer treatments: Financial, demographic, and clinical profiles of online crowdfunding campaigns.

BACKGROUND: Previous research has found that individuals may travel outside their home countries in pursuit of alternative cancer therapies (ACT). The goal of this study is to compare individuals in the United States who propose plans for travel abroad for ACT, compared with individuals who seek ACT domestically. METHODS: Clinical and treatment data were extracted from campaign descriptions of 615 GoFundMe® campaigns fundraising for individuals in the United States seeking ACT between 2011 and 2019. We examined treatment modalities, treatment location, fundraising metrics, and online engagement within campaign profiles. Clinical and demographic differences between those who proposed international travel and those who sought ACT domestically were examined using two-sided Fisher's exact tests. Differences in financial and social engagement data were examined using two-sided Mann-Whitney tests. RESULTS: Of the total 615 campaigns, 237 (38.5%) mentioned plans to travel internationally for ACT, with the majority (81.9%) pursuing travel to Mexico. Campaigns that proposed international treatment requested more money ($35,000 vs. $22,650, p < 0.001), raised more money ($7833 vs. $5035, p < 0.001), had more donors (57 vs. 45, p = 0.02), and were shared more times (377 vs. 290.5, p = 0.008) compared to campaigns that did not. The median financial shortfall was greater for campaigns pursuing treatments internationally (-$22,640 vs. -$13,436, p < 0.003). CONCLUSIONS: Campaigns proposing international travel for ACT requested and received more money, were shared more online, and had more donors. However, there was significantly more unmet financial need among this group, highlighting potential financial toxicity on patients and families.

For Flux Sake: Isotopic Tracer Methods of Monitoring Human Carbohydrate Metabolism During Exercise.

Isotopic tracers can reveal insights into the temporal nature of metabolism and track the fate of ingested substrates. A common use of tracers is to assess aspects of human carbohydrate metabolism during exercise under various established models. The dilution model is used alongside intravenous infusion of tracers to assess carbohydrate appearance and disappearance rates in the circulation, which can be further delineated into exogenous and endogenous sources. The incorporation model can be used to estimate exogenous carbohydrate oxidation rates. Combining methods can provide insight into key factors regulating health and performance, such as muscle and liver glycogen utilization, and the underlying regulation of blood glucose homeostasis before, during, and after exercise. Obtaining accurate, quantifiable data from tracers, however, requires careful consideration of key methodological principles. These include appropriate standardization of pretrial diet, specific tracer choice, whether a background trial is necessary to correct expired breath CO2 enrichments, and if so, what the appropriate background trial should consist of. Researchers must also consider the intensity and pattern of exercise, and the type, amount, and frequency of feeding (if any). The rationale for these considerations is discussed, along with an experimental design checklist and equation list which aims to assist researchers in performing high-quality research on carbohydrate metabolism during exercise using isotopic tracer methods.

Missing the Bigger Picture: The Need for More Research on Visual Health Misinformation.

Research shows that health misinformation is widespread online and poses a potentially significant threat to public health. Visual misinformation has been largely overlooked, a notable gap given the unique features and ubiquity of visual content. In this essay, we (a) provide a working definition of visual misinformation, (b) summarize the main categories of visual misinformation, (c) offer examples of the functions visuals can serve within misinformation content, and (d) outline priorities for advancing research on visual misinformation. A systematic approach to studying visual misinformation can improve efforts to mitigate health misinformation and optimize science communication in the current information environment.

Search Term Identification Methods for Computational Health Communication: Word Embedding and Network Approach for Health Content on YouTube.

BACKGROUND: Common methods for extracting content in health communication research typically involve using a set of well-established queries, often names of medical procedures or diseases, that are often technical or rarely used in the public discussion of health topics. Although these methods produce high recall (ie, retrieve highly relevant content), they tend to overlook health messages that feature colloquial language and layperson vocabularies on social media. Given how such messages could contain misinformation or obscure content that circumvents official medical concepts, correctly identifying (and analyzing) them is crucial to the study of user-generated health content on social media platforms. OBJECTIVE: Health communication scholars would benefit from a retrieval process that goes beyond the use of standard terminologies as search queries. Motivated by this, this study aims to put forward a search term identification method to improve the retrieval of user-generated health content on social media. We focused on cancer screening tests as a subject and YouTube as a platform case study. METHODS: We retrieved YouTube videos using cancer screening procedures (colonoscopy, fecal occult blood test, mammogram, and pap test) as seed queries. We then trained word embedding models using text features from these videos to identify the nearest neighbor terms that are semantically similar to cancer screening tests in colloquial language. Retrieving more YouTube videos from the top neighbor terms, we coded a sample of 150 random videos from each term for relevance. We then used text mining to examine the new content retrieved from these videos and network analysis to inspect the relations between the newly retrieved videos and videos from the seed queries. RESULTS: The top terms with semantic similarities to cancer screening tests were identified via word embedding models. Text mining analysis showed that the 5 nearest neighbor terms retrieved content that was novel and contextually diverse, beyond the content retrieved from cancer screening concepts alone. Results from network analysis showed that the newly retrieved videos had at least one total degree of connection (sum of indegree and outdegree) with seed videos according to YouTube relatedness measures. CONCLUSIONS: We demonstrated a retrieval technique to improve recall and minimize precision loss, which can be extended to various health topics on YouTube, a popular video-sharing social media platform. We discussed how health communication scholars can apply the technique to inspect the performance of the retrieval strategy before investing human coding resources and outlined suggestions on how such a technique can be extended to other health contexts.

Short-Term Very High Carbohydrate Diet and Gut-Training Have Minor Effects on Gastrointestinal Status and Performance in Highly Trained Endurance Athletes.

We implemented a multi-pronged strategy (MAX) involving chronic (2 weeks high carbohydrate [CHO] diet + gut-training) and acute (CHO loading + 90 g·h−1 CHO during exercise) strategies to promote endogenous and exogenous CHO availability, compared with strategies reflecting lower ranges of current guidelines (CON) in two groups of athletes. Nineteen elite male race walkers (MAX: 9; CON:10) undertook a 26 km race-walking session before and after the respective interventions to investigate gastrointestinal function (absorption capacity), integrity (epithelial injury), and symptoms (GIS). We observed considerable individual variability in responses, resulting in a statistically significant (p < 0.001) yet likely clinically insignificant increase (Δ 736 pg·mL−1) in I-FABP after exercise across all trials, with no significant differences in breath H2 across exercise (p = 0.970). MAX was associated with increased GIS in the second half of the exercise, especially in upper GIS (p < 0.01). Eighteen highly trained male and female distance runners (MAX: 10; CON: 8) then completed a 35 km run (28 km steady-state + 7 km time-trial) supported by either a slightly modified MAX or CON strategy. Inter-individual variability was observed, without major differences in epithelial cell intestinal fatty acid binding protein (I-FABP) or GIS, due to exercise, trial, or group, despite the 3-fold increase in exercise CHO intake in MAX post-intervention. The tight-junction (claudin-3) response decreased in both groups from pre- to post-intervention. Groups achieved a similar performance improvement from pre- to post-intervention (CON = 39 s [95 CI 15−63 s]; MAX = 36 s [13−59 s]; p = 0.002). Although this suggests that further increases in CHO availability above current guidelines do not confer additional advantages, limitations in our study execution (e.g., confounding loss of BM in several individuals despite a live-in training camp environment and significant increases in aerobic capacity due to intensified training) may have masked small differences. Therefore, athletes should meet the minimum CHO guidelines for training and competition goals, noting that, with practice, increased CHO intake can be tolerated, and may contribute to performance outcomes.

Science communication challenges about antimicrobial resistance in animal agriculture: insights from stakeholders.

Background: Communicating about antimicrobial resistance (AMR) and antimicrobial stewardship (AMS) requires technical knowledge, consideration of audience values and appropriate identification of communication strategies for multiple audiences. Within the context of animal agriculture, communicating about AMR represents an important and complex endeavour for veterinarians, governmental agencies, producers and the industry to convey policy and practice information regarding the use of antimicrobials in food animals. Objectives: To assess the science communication challenges related to AMR by identifying the motivations, goals and struggles of animal agriculture stakeholders when communicating about AMR and AMS. Methods: Participants attending a meeting on AMR communication in animal agriculture (N = 80) completed a workshop on science communication, including small group meetings with oral/written comments collected. Participants included veterinarians, government agency representatives, industry stakeholders and producers. Results: Results indicated participants believed providing more accurate information would resolve misunderstanding and concern about AMR to other stakeholders, counter to recommendations of science communicators. Other participants noted beliefs about the utility of stories in trying to explain how AMS is normative and consistent with the values of all parties interested in animal agriculture. Participants noted the importance of public engagement, even if the participants' perceived target audiences did not include the public. Conclusions: Communicating about AMR and AMS in animal agriculture contexts provide unique challenges. Few evidence-based recommendations are available for science communicators in these contexts and more research is needed to improve the quality of communication about AMR and AMS in animal agriculture.

Psychosocial correlates of face-touching mitigation behaviors in public and private.

This study investigates psychosocial factors that influence people's face-touching mitigation behaviors. A nationwide survey was conducted online, and the results showed that perceived risk severity of touching face, and barriers and self-efficacy of not touching face were stable predictors. COVID-19 was related to a higher likelihood of mitigation behavior in public spaces. This study provides important implications to health communication and promotion for COVID-19 and general infection control.

Applying harm reduction to COVID-19 prevention: The influence of moderation messages and risk infographics.

OBJECTIVE: We propose that harm reduction messages advocating moderation versus abstinence from social interaction will be seen as less threatening and increase intentions to follow COVID-19 guidelines. We also examine two important moderators: the influence of risk framing and willingness to risk infection. METHOD: A 2 × 2 between-participants, randomized experiment (N = 476) varied infographics portraying low-risk behaviors, like going camping, versus high-risk behaviors, like attending a concert, followed by either moderation or abstinence guidelines. Participants in two additional control groups saw an infographic displaying either a full range of risk behaviors or behaviors that pose no risk, each followed by generic guidelines. RESULTS: Regression analyses show moderation messages are less freedom-threatening only when presenting low-risk behaviors. Persons more willing to risk infection found all messages more freedom-threatening; however, for these individuals, moderation messages increased behavioral intentions when risks were presented as high. CONCLUSION: This study suggests harm reduction may be applied effectively in a pandemic, where the behavior of risk-tolerant individuals, at a population level, could have suboptimal effects on curbing virus transmission. PRACTICE IMPLICATIONS: Health educators should communicate harm reduction with certain populations but also test to ensure messaging, including visuals communicating relative risks, are received as intended.

Glucose and Fructose Hydrogel Enhances Running Performance, Exogenous Carbohydrate Oxidation, and Gastrointestinal Tolerance.

PURPOSE: Beneficial effects of carbohydrate (CHO) ingestion on exogenous CHO oxidation and endurance performance require a well-functioning gastrointestinal (GI) tract. However, GI complaints are common during endurance running. This study investigated the effect of a CHO solution-containing sodium alginate and pectin (hydrogel) on endurance running performance, exogenous and endogenous CHO oxidation, and GI symptoms. METHODS: Eleven trained male runners, using a randomized, double-blind design, completed three 120-min steady-state runs at 68% V˙O2max, followed by a 5-km time-trial. Participants ingested 90 g·h-1 of 2:1 glucose-fructose (13C enriched) as a CHO hydrogel, a standard CHO solution (nonhydrogel), or a CHO-free placebo during the 120 min. Fat oxidation, total and exogenous CHO oxidation, plasma glucose oxidation, and endogenous glucose oxidation from liver and muscle glycogen were calculated using indirect calorimetry and isotope ratio mass spectrometry. GI symptoms were recorded throughout the trial. RESULTS: Time-trial performance was 7.6% and 5.6% faster after hydrogel ([min:s] 19:29 ± 2:24, P < 0.001) and nonhydrogel (19:54 ± 2:23, P = 0.002), respectively, versus placebo (21:05 ± 2:34). Time-trial performance after hydrogel was 2.1% faster (P = 0.033) than nonhydrogel. Absolute and relative exogenous CHO oxidation was greater with hydrogel (68.6 ± 10.8 g, 31.9% ± 2.7%; P = 0.01) versus nonhydrogel (63.4 ± 8.1 g, 29.3% ± 2.0%; P = 0.003). Absolute and relative endogenous CHO oxidation was lower in both CHO conditions compared with placebo (P < 0.001), with no difference between CHO conditions. Absolute and relative liver glucose oxidation and muscle glycogen oxidation were not different between CHO conditions. Total GI symptoms were not different between hydrogel and placebo, but GI symptoms were higher in nonhydrogel compared with placebo and hydrogel (P < 0.001). CONCLUSION: The ingestion of glucose and fructose in hydrogel form during running benefited endurance performance, exogenous CHO oxidation, and GI symptoms compared with a standard CHO solution.