Background: This study assessed psychosocial predictors of U.S. adults' willingness to get a future COVID-19 vaccine and whether these predictors differ under an emergency use authorization (EUA) release of the vaccine. Methods: A survey of 788 U.S. adults was conducted to explore the relationships between demographics and psychosocial predictors of intent to get a future COVID-19 vaccine as well as willingness to get such a vaccine under EUA. Results: Significant predictors of COVID-19 vaccine uptake intentions were education, having insurance, scoring high on subjective norms, a positive attitude toward the vaccine, as well as high perceived susceptibility to COVID-19, high perceived benefits of the vaccine, scoring low on barriers to the vaccine, and scoring high on self-efficacy. Predictors of willingness to take a COVID-19 vaccine under EUA were age, race/ethnicity, positive subjective norms, high perceived behavioral control, positive attitudes toward the vaccine, as well as high perceived susceptibility to COVID-19, high perceived benefits of the vaccine, low barriers to the vaccine, and scoring high on self-efficacy for getting the vaccine. Concerns about rushed vaccine development appear to reduce vaccine uptake intent, as well as willingness to get the vaccine under EUA. Conclusions: COVID-19 vaccine-related messages should both address concerns about the vaccine and its development and reinforce benefits of the vaccine (both factors significant in both models). Vaccine efforts may need to go beyond just communications campaigns correcting misinformation about a COVID-19 vaccine to also focus on re-establishing public trust in government agencies.

This study compared a new transient sham TENS that delivers current for 45 seconds to an inactive sham and active TENS to determine the degree of blinding and influence on pain reduction. Pressure pain thresholds (PPT), heat pain thresholds (HPT), and pain intensities to tonic heat and pressure were measured in 69 healthy adults before and after randomization. Allocation investigators and subjects were asked to identify the treatment administered. The transient sham blinded investigators 100% of the time and 40% of subjects compared to the inactive sham that blinded investigators 0% of the time and 21% of subjects. Investigators and subjects were only blinded 7% and 13% of the time, respectively, with active TENS. Neither placebo treatment resulted in significant changes in PPT, HPT, or pain intensities. Subjects using higher active TENS amplitudes (≥17mAs) had significantly higher PPTs and lower pain intensities to tonic pressure than subjects using lower amplitudes (<17mAs). HPTs and pain intensities to tonic heat were not significantly changed. The transient TENS completely blinds investigators to treatment and does not reduce pain, thereby providing a true placebo treatment.

Prospective studies of the general population have isolated specific social and psychological factors as independent predictors of longevity. This study assesses the ability of these factors, plus two others said to influence survival in patients with cancer, to predict survival and the time to relapse after a diagnosis of cancer. Patients with unresectable cancers (n = 204) were followed to determine the length of survival. Patients with Stage I or II melanoma or Stage II breast cancer (n = 155) were followed to determine the time to relapse. Analysis of data on these 359 patients indicates that social and psychological factors individually or in combination do not influence the length of survival or the time to relapse (P less than 0.10). The specific diagnosis (F = 2.0, P = 0.06), performance status (F = 0.66, P = 0.62), extent of disease (F = 1.12, P = 0.89), and therapy (F = 1.08, P = 0.35) were also unrelated to the psychosocial factors studied. Although these factors may contribute to the initiation of morbidity, the biology of the disease appears to predominate and to override the potential influence of life-style and psychosocial variables once the disease process is established.

BackgroundThere is often a lack of transparency in research using online panels related to recruitment methods and sample derivation. The purpose of this study was to describe the recruitment and participation of respondents from two disparate surveys derived from the same online research panel using quota sampling. MethodsA commercial survey sampling and administration company, Qualtrics, was contracted to recruit participants and implement two internet-based surveys. The first survey targeted adults aged 50-75 years old and used sampling quotas to obtain diversity with respect to household income and race/ethnicity. The second focused on women aged 18-49 years and utilized quota sampling to achieve a geographically balanced sample. ResultsA racially and economically diverse sample of older adults (n=419) and a geographically diverse sample of younger women (n=530) were acquired relatively quickly (within 12 and 4 days, respectively). With exception of the highest income level, quotas were implemented as requested. Recruitment of older adults took longer (vs. younger female adults). Although survey completion rates were reasonable in both studies, there were inconsistencies in the proportion of incomplete survey responses and quality fails. ConclusionsCancer researchersand researchers in generalshould consider ways to leverage the use of online panels for future studies. To optimize novel and innovative strategies, researchers should proactively ask questions about panels and carefully consider the strengths and drawbacks of online survey features including quota sampling and forced response. ImpactResults provide practical insights for cancer researchers developing future online surveys and recruitment protocols.

It is widely believed that the presence of a malignancy causes increased energy expenditure in the cancer patient. To test this hypothesis, resting energy expenditure (REE) was measured by bedside indirect calorimetry in 200 heterogeneous hospitalized cancer patients. Measured resting energy expenditure (REE-M) was compared with expected energy expenditure (REE-P) as defined by the Harris-Benedict formula. The study population consisted of 77 males and 123 females with a variety of tumor types: 44% with gastrointestinal malignancy, 29% with gynecologic malignancy, and 19% with a malignancy of genitourinary origin. Patients were classified as hypometabolic (REE less than 90% of predicted), normometabolic (90-110% of predicted) or hypermetabolic (greater than 110% of predicted). Fifty-nine per cent of patients exhibited aberrant energy expenditure outside the normal range. Thirty-three per cent were hypometabolic (79.2% REE-P), 41% were normometabolic (99.5% REE-P), and 26% were hypermetabolic (121.9% REE-P) (p less than 0.001). Aberrations in REE were not due to age, height, weight, sex, nutritional status (% weight loss, visceral protein status), tumor burden (no gross tumor, local, or disseminated disease), or presence of liver metastasis. Hypermetabolic patients had significantly longer duration of disease (p less than 0.04) than normometabolic patients (32.8 vs. 12.8 months), indicating that the duration of a malignancy may have a major impact upon energy metabolism. Cancer patients exhibit major aberrations in energy metabolism, but are not uniformly hypermetabolic. Energy expenditure cannot be accurately predicted in cancer patients using standard predictive formulae.