Associations of role, area deprivation index, and race with health behaviors and body mass index among localized prostate cancer patients and their partners.

PURPOSE: To examine the associations of role (localized prostate cancer (PCa) patient vs. their intimate partner), area deprivation index (ADI-higher scores indicating higher neighborhood deprivation levels), and race (Black/African American (AA) vs. White) with health behaviors and body mass index (BMI) among PCa patients and partners. The behaviors include smoking, alcohol consumption, diet quality, sedentary behaviors, and physical activity (PA). METHODS: This study used the baseline data collected in a clinical trial. Given the nested structure of the dyadic data, multi-level models were used. RESULTS: Significant role-race interaction effects on smoking, ADI-race effects on alcohol consumption, and role-ADI effects on BMI were found. Meanwhile, patients smoked more cigarettes, decreased alcohol consumption, had less healthful diets, spent longer time watching TV, did fewer sedentary hobbies, had more confidence in PA, and had higher BMIs than their partners. High ADI was independently associated with lower odds of drinking alcohol, using computer/Internet, and doing non-walking PA, and higher BMI compared to low ADI controlling for role and race. Black/AA dyads had less smoking amount and alcohol consumption and higher sedentary time and BMI than White dyads when adjusted for role and ADI. CONCLUSIONS: This study identified significant interaction and main effects of role, ADI, or race on health behaviors and BMI. IMPLICATIONS FOR CANCER SURVIVORS: Future behavioral interventions should address divergent individual needs between patients and partners, social and neighborhood barriers, and cultural indicators of racial groups to promote healthful behaviors and improve the quality of survivorship for PCa patients and partners.

Symptom Experiences Among Individuals With Prostate Cancer and Their Partners: Influence of Sociodemographic and Cancer Characteristics.

OBJECTIVES: To determine if subgroups of individuals with prostate cancer and their partners could be identified based on their distinct symptom profiles and to identify and characterize subgroups based on sociodemographic and cancer characteristics. SAMPLE & SETTING: 263 individuals with prostate cancer and 263 partners recruited from three academic cancer centers in the Midwest. METHODS & VARIABLES: Latent class analysis was applied to divide individuals into subgroups based on symptom prevalence. Multinomial logistic regression models were used to estimate the prevalence of each symptom, predict subgroup membership, and adjust for direct or indirect effects of covariates on the symptoms. RESULTS: Three distinct subgroups (low, moderate, and high symptoms) were identified among individuals with prostate cancer and partners, respectively. Education and household income of individuals with prostate cancer were associated with different symptom burdens. Partners' household income differentiated among the subgroups. IMPLICATIONS FOR NURSING: Understanding the influence of sociodemographic and cancer characteristics can inform risk stratification and tailored symptom management interventions.

An eHealth symptom and complication management program for cancer patients with newly created ostomies and their caregivers (Alliance): a pilot feasibility randomized trial.

BACKGROUND: Cancer patients with newly created ostomies face complications that reduce quality of life (QOL) and increase morbidity and mortality. This proof-of-concept study examined the feasibility, usability, acceptability, and initial efficacy of an eHealth program titled the "Patient Reported Outcomes-Informed Symptom Management System" (PRISMS) during post-ostomy creation care transition. METHODS: We conducted a 2-arm pilot randomized controlled trial among 23 patients who received surgical treatment with curative intent for bladder and colorectal cancer and their caregivers. After assessing QOL, general symptoms, and caregiver burden at baseline, participants were randomly assigned to PRISMS (n = 16 dyads) or usual care (UC) (n = 7 dyads). After a 60-day intervention period, participants completed a follow-up survey and post-exit interview. We used descriptive statistics and t-tests to analyze the data. RESULTS: We achieved an 86.21% recruitment rate and a 73.91% retention rate. Among the PRISMS participants who used the system and biometric devices (n = 14, 87.50%), 46.43% used the devices for ≥ 50 days during the study period. Participants reported PRISMS as useful and acceptable. Compared to their UC counterparts, PRISMS patient social well-being scores decreased over time and had an increased trend of physical and emotional well-being; PRISMS caregivers experienced a greater decrease in caregiver burden. CONCLUSIONS: PRISMS recruitment and retention rates were comparable to existing family-based intervention studies. PRISMS is a useful and acceptable multilevel intervention with the potential to improve the health outcomes of cancer patients needing ostomy care and their caregivers during post-surgery care transition. A sufficiently powered RCT is needed to test its effects. TRIAL REGISTRATION: ClinicalTrial.gov ID: NCT04492007. Registration date: 30/07/2020.

Role, race, and place: Prostate cancer disparities in Patients' and Partners' health outcomes and psychosocial factors.

PURPOSE: This study aimed to examine the effects of participant role (patient vs. partner), race (white vs. non-white), and place (less vs. more neighborhood deprivation) on health outcomes (quality of life [QOL] and symptoms) and stress-coping-related psychosocial factors (appraisals of illness and coping resources). METHODS: This descriptive study included 273 patients and their partners (dyads) who transitioned from PCa treatment to self-management. We used established, psychometrically sound measures to assess health outcomes and psychosocial factors and conducted multilevel modeling analyses. RESULTS: Compared to partners, patients reported worse physical QOL; less frequent anxiety; less pain and fatigue; less bothersome hormonal problems; more bothersome urinary and sexual problems; greater self-efficacy; and more instrumental support. Compared to their white counterparts, non-white dyads reported better overall, emotional, and functional QOL; less depression; more positive appraisals, and greater self-efficacy. Compared to dyads in low ADI neighborhoods, dyads in high ADI (more deprived) neighborhoods reported worse social QOL; more bothersome urinary, sexual, and hormonal symptoms; and less interpersonal support. White patients reported the highest emotional support among all groups, while white partners reported the lowest emotional support. CONCLUSION: Our findings underscore the need to consider social determinants of health at multiple levels when investigating PCa disparities. Considering neighborhood-level socioeconomic factors, in addition to race and role, improves our understanding of the PCa disparities in QOL, symptoms, and psychosocial factors among patients and partners. Targeted multilevel supportive care interventions should tailor to the needs of racially diverse PCa patients and partners residing in deprived neighborhoods are needed.

[Micro-cultivation system in microbiology: frontiers and prospects].

Microbial cells cultivation is not only the origin, but also the foundation of microbiology. Researches in microbiology can only be carried out when the microbial cells can be cultured. However, conventional microbial cell cultivation is not only time consuming and labour intensive, but human error is also inevitable. Recent years, automated, modularised microbial cells micro-cultivation systems with small volume, good controllability, and equipped with real-time monitoring system have attracted great attention in microbiology. This review presents the state-of-the-art micro-cultivation systems which are implemented in microbial cells cultivation. The key development, applications of various system classified based on their construction, and the prospects of micro-cultivation system are discussed and insights into them are also provided.

Gel microdroplet-based high-throughput screening for directed evolution of xylanase-producing Pichia pastoris.

Xylanases have useful applications in a wide range of industries. In this regard, Pichia pastoris has become one of the most attractive host platforms for large-scale production of xylanases. However, genomic engineering is still required for overexpression and efficient secretion. In this paper, we applied droplet-based method to screen directed evolved extracellular xylanase producing P. pastoris strain. Xylanase-producing P. pastoris cells were encapsulated in gel microdroplets with a fluorogenic reporter substrate. Improved production of xylanase increases fluorescence intensity of gel microdroplets, enabled accurate selection of evolved clones by droplet sorting. The screening strategy was validated by identifying yeast with improved xylanase production from a mixed sample with a positive selection accuracy of up to 98%. After three rounds of mutagenesis and selection, approximately 108 variants were screened, and a P. pastoris clone with more than 1.3-fold increase in xylanase activity was identified, representing cellular functions improvement of the production host. The throughput of this approach was at least 103-fold higher than that of the robot-assisted microtiter plate reader, and reagent consumption was reduced by ∼106-fold. Furthermore, the greatly shortened incubation time prior screening significantly accelerated the process of directed evolution.