Tag: nevin manimala

Emotion. 2023 Apr 13. doi: 10.1037/emo0001236. Online ahead of print.

ABSTRACT

Emotional acceptance is thought to play an important role in protecting mental health. However, few studies have examined emotional acceptance among older adults who may experience declines in functioning, including executive functioning. The present laboratory-based study examined whether emotional acceptance and (to determine specificity) detachment and positive reappraisal moderated links between executive functioning and mental health symptoms in a sample of healthy older adults. Emotion regulation strategies were measured using questionnaire-based measures (using established questionnaires) as well as performance-based measures (instructing individuals to use emotional acceptance, detachment, and positive reappraisal in response to sad film clips). Executive functioning was measured using a battery of working memory, inhibition, and verbal fluency tasks. Mental health symptoms were measured using questionnaires to assess anxiety and depressive symptoms. Results showed that (a) emotional acceptance moderated the link between executive functioning and mental health such that lower executive functioning predicted higher levels of anxiety and depressive symptoms at low but not at high levels of emotional acceptance. Moderation effects tended to be (b) stronger for emotional acceptance compared to the other emotion regulation strategies (though not all comparisons were statistically significant). Findings were (c) robust when controlling for age, gender, and education for questionnaire-based (but not performance-based) emotional acceptance. These findings contribute to the literature on emotion regulation specificity and highlight the mental health benefits of emotional acceptance in the face of low executive functioning. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

PMID:37053410 | DOI:10.1037/emo0001236

J Exp Psychol Gen. 2023 Apr 13. doi: 10.1037/xge0001368. Online ahead of print.

ABSTRACT

People can quickly learn spatial distributions of targets and direct attention to likely regions of targets. These implicitly learned spatial biases have been shown to be persistent, transferring to other similar visual search tasks. However, a persistent attentional bias is incompatible with frequently changing goals in our typical daily environment. We propose a flexible goal-specific probability cueing mechanism to address this discrepancy. We examined whether participants could learn and utilize target-specific spatial priority maps across five experiments (each N = 24). In Experiment 1, participants were faster to find the target at the target-specific high-probability location, in line with a goal-specific probability cueing effect. This demonstrated that separate spatial priorities derived from statistical learning can be flexibly activated based on the current goal. In Experiment 2, we ensured the results were not driven solely by intertrial priming. In Experiment 3, we ensured the results were driven by early attentional guidance effects. In Experiment 4, we extended our findings to a complex spatial distribution including four locations, supporting a sophisticated representation of target likelihood in the activated spatial priority maps. Finally, in Experiment 5, we confirmed that the effect was driven by the activation of an attentional template and not associative learning between the target cue and a spatial location. Our findings demonstrate a previously unrecognized mechanism for flexibility within statistical learning. The goal-specific probability cueing effect relies on coordination of feature-based and location-based attention, utilizing information that crosses traditional boundaries between top-down control and selection history. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

PMID:37053400 | DOI:10.1037/xge0001368

J Am Med Inform Assoc. 2023 Apr 13:ocad064. doi: 10.1093/jamia/ocad064. Online ahead of print.

ABSTRACT

OBJECTIVE: To study the coverage and challenges in mapping 3 national and international procedure coding systems to the International Classification of Health Interventions (ICHI).

MATERIALS AND METHODS: We identified 300 commonly used codes each from SNOMED CT, ICD-10-PCS, and CCI (Canadian Classification of Health Interventions) and mapped them to ICHI. We evaluated the level of match at the ICHI stem code and Foundation Component levels. We used postcoordination (modification of existing codes by adding other codes) to improve matching. Failure analysis was done for cases where full representation was not achieved. We noted and categorized potential problems that we encountered in ICHI, which could affect the accuracy and consistency of mapping.

RESULTS: Overall, among the 900 codes from the 3 sources, 286 (31.8%) had full match with ICHI stem codes, 222 (24.7%) had full match with Foundation entities, and 231 (25.7%) had full match with postcoordination. 143 codes (15.9%) could only be partially represented even with postcoordination. A small number of SNOMED CT and ICD-10-PCS codes (18 codes, 2% of total), could not be mapped because the source codes were underspecified. We noted 4 categories of problems in ICHI-redundancy, missing elements, modeling issues, and naming issues.

CONCLUSION: Using the full range of mapping options, at least three-quarters of the commonly used codes in each source system achieved a full match. For the purpose of international statistical reporting, full matching may not be an essential requirement. However, problems in ICHI that could result in suboptimal maps should be addressed.

PMID:37053378 | DOI:10.1093/jamia/ocad064

Gastroenterol Nurs. 2023 Apr 12. doi: 10.1097/SGA.0000000000000722. Online ahead of print.

ABSTRACT

The objective of this study was to describe the COVID-19 intensive care unit population and analyze the characteristics and outcomes of gastrointestinal bleeding patients. An observational prospective study design was used following the STROBE checklist. All patients admitted between February and April 2020 to the intensive care unit were included. Main outcome measures were first bleeding event timing, sociodemographic and clinical data before admission, and gastrointestinal symptoms. A total of 116 COVID-19 patients were included; 16 (13.8%) developed gastrointestinal bleeding, 15 were males (93.7%), and the median age was 65.64 ± 7.33 years. All 16 patients were mechanically ventilated, one (6.3%) already had gastrointestinal symptoms, 13 (81.3%) had at least one concomitant disease, and six (37.5%) died. Bleeding episodes occurred on a mean of 16.9 ± 9.5 days after admission. Nine cases (56.3%) had effects on their hemodynamics, hemoglobin levels, or transfusion requirements; six (37.5%) required diagnostic imaging; and two (12.5%) underwent endoscopy procedures. The Mann-Whitney test showed statistically significant differences between the two groups of patients concerning comorbidities. Gastrointestinal bleeding can occur in critically ill patients with COVID-19. Having a solid tumor or chronic liver disease seems to increase that risk. Nurses caring for COVID-19 patients are urged to individualize patients at higher risk in order to improve safety.

PMID:37053376 | DOI:10.1097/SGA.0000000000000722

Clin Chem Lab Med. 2023 Apr 13. doi: 10.1515/cclm-2023-0158. Online ahead of print.

ABSTRACT

OBJECTIVES: According to international standards, clinical laboratories are required to verify the performance of assays prior to their implementation in routine practice. This typically involves the assessment of the assay’s imprecision and trueness vs. appropriate targets. The analysis of these data is typically performed using frequentist statistical methods and often requires the use of closed source, proprietary software. The motivation for this paper was therefore to develop an open-source, freely available software capable of performing Bayesian analysis of verification data.

METHODS: The veRification application presented here was developed with the freely available R statistical computing environment, using the Shiny application framework. The codebase is fully open-source and is available as an R package on GitHub.

RESULTS: The developed application allows the user to analyze imprecision, trueness against external quality assurance, trueness against reference material, method comparison, and diagnostic performance data within a fully Bayesian framework (with frequentist methods also being available for some analyses).

CONCLUSIONS: Bayesian methods can have a steep learning curve and thus the work presented here aims to make Bayesian analyses of clinical laboratory data more accessible. Moreover, the development of the application and seeks to encourage the dissemination of open-source software within the community and provides a framework through which Shiny applications can be developed, shared, and iterated upon.

PMID:37053372 | DOI:10.1515/cclm-2023-0158

Arkh Patol. 2023;85(2):5-12. doi: 10.17116/patol2023850215.

ABSTRACT

OBJECTIVE: To study the somatic mutational status of the FGFR3 gene in urothelial bladder cancer (BC) and evaluate its relationship with the clinical and morphological characteristics of the tumor, deficiency of the DNA mismatch repair (dMMR), PD-L1 tumor status, and immunohistochemical (IHC) expression of the p16 protein.

MATERIAL AND METHODS: Surgical material of 40 patients with BC, on which the mutational status of the FGFR3 gene was studied using the molecular genetic method, as well as the MMR status, PD-L1 and p16 expression by the IHC method.

RESULTS: FGFR3 mutations, such as G370C, S249C, S371C/Y373C, R248C, were detected in 35.0% of the studied BC samples. FGFR3 status did not depend on the gender and age of patients, as well as on the degree of tumor lymphoid infiltration (TILs). Statistically significant differences were found in the analysis of FGFR3 status depending on the histological structure and degree of tumor differentiation, as well as on the pT stage. The FGFR3 status of BC was not associated with the IHC expression of the studied proteins of the MMR system, as well as with the PD-L1 status. Higher levels of PD-L1 expression were demonstrated by BC tumor cells, in which no aberrations in FGFR3 were detected. There was no significant association between p16 status and the presence of FGFR3 mutations, but for FGFR3-positive carcinomas, the basal pattern of p16 staining by IHC was noted.

CONCLUSION: A positive somatic mutational status of the FGFR3 gene was statistically significantly more common in the group of papillary low-grade non-muscle-invasive BC, demonstrating basal p16 IHC staining. In the study sample, there was no statistically significant relationship between the FGFR3 status of BC and gender and age differences, TILs, MMR status, PD-L1 status (SP142 and 22C3), and p16 status. The results of the study indicate the need to determine the FGFR3 status in patients with BC for further prescription of personalized therapy.

PMID:37053347 | DOI:10.17116/patol2023850215

J Clin Invest. 2023 Apr 27:e167339. doi: 10.1172/JCI167339. Online ahead of print.

ABSTRACT

BACKGOUND: Basic immune processes exhibit circadian rhythms, but it is unclear if rhythms exist in clinical endpoints like vaccine protection. Here, we examined associations between Coronavirus Infectious Disease 2019 (COVID-19) vaccination timing and effectiveness.

METHODS: We retrospectively analyzed a large Israeli cohort with timestamped COVID-19 vaccinations (n=1,515,754 patients over 12 years-old, 99.2% receiving BNT162b2). Endpoints included COVID-19 breakthrough infection, COVID-19 associated emergency department (ED) visits, and hospitalizations. Our main comparison was between patients vaccinated during morning (8:00-11:59), afternoon (12:00-15:59), or evening hours (16:00-19:59). We employed Cox regression to adjust for differences in age, sex, and co-morbidities.

RESULTS: Breakthrough infections differed based on vaccination time, with lowest rates associated with late morning to early afternoon, and highest rates with evening vaccination. Vaccination timing remained significant after adjustment for patient age, sex, and co-morbidities. Results were consistent in patients who received the basic two-dose series and who received booster doses. The relationship between COVID-19 immunization time and breakthrough infections was sinusoidal, consistent with a biological rhythm that modifies vaccine effectiveness by 8.6-25%. The benefits of daytime vaccination were concentrated in younger (<20 years old) and older patients (>50 years old). COVID-19 related hospitalizations varied significantly with the timing of the second booster dose, an intervention reserved for older and immunosuppressed patients (HR=0.64 morning vs. evening, 0.43-0.97 95% CI, p=0.038).

CONCLUSION: We report a significant association between the time of COVID-19 vaccination and its effectiveness. This has implications for mass vaccination programs.

FUNDING: National Institutes of Health.

PMID:37053011 | DOI:10.1172/JCI167339

J Med Internet Res. 2023 Apr 13;25:e44131. doi: 10.2196/44131.

ABSTRACT

BACKGROUND: Work stress places a heavy economic and disease burden on society. Recent technological advances include digital health interventions for helping employees prevent and manage their stress at work effectively. Although such digital solutions come with an array of ethical risks, especially if they involve biomedical big data, the incorporation of employees’ values in their design and deployment has been widely overlooked.

OBJECTIVE: To bridge this gap, we used the value sensitive design (VSD) framework to identify relevant values concerning a digital stress management intervention (dSMI) at the workplace, assess how users comprehend these values, and derive specific requirements for an ethics-informed design of dSMIs. VSD is a theoretically grounded framework that front-loads ethics by accounting for values throughout the design process of a technology.

METHODS: We conducted a literature search to identify relevant values of dSMIs at the workplace. To understand how potential users comprehend these values and derive design requirements, we conducted a web-based study that contained closed and open questions with employees of a Swiss company, allowing both quantitative and qualitative analyses.

RESULTS: The values health and well-being, privacy, autonomy, accountability, and identity were identified through our literature search. Statistical analysis of 170 responses from the web-based study revealed that the intention to use and perceived usefulness of a dSMI were moderate to high. Employees’ moderate to high health and well-being concerns included worries that a dSMI would not be effective or would even amplify their stress levels. Privacy concerns were also rated on the higher end of the score range, whereas concerns regarding autonomy, accountability, and identity were rated lower. Moreover, a personalized dSMI with a monitoring system involving a machine learning-based analysis of data led to significantly higher privacy (P=.009) and accountability concerns (P=.04) than a dSMI without a monitoring system. In addition, integrability, user-friendliness, and digital independence emerged as novel values from the qualitative analysis of 85 text responses.

CONCLUSIONS: Although most surveyed employees were willing to use a dSMI at the workplace, there were considerable health and well-being concerns with regard to effectiveness and problem perpetuation. For a minority of employees who value digital independence, a nondigital offer might be more suitable. In terms of the type of dSMI, privacy and accountability concerns must be particularly well addressed if a machine learning-based monitoring component is included. To help mitigate these concerns, we propose specific requirements to support the VSD of a dSMI at the workplace. The results of this work and our research protocol will inform future research on VSD-based interventions and further advance the integration of ethics in digital health.

PMID:37052996 | DOI:10.2196/44131

JMIR Form Res. 2023 Apr 13;7:e40671. doi: 10.2196/40671.

ABSTRACT

BACKGROUND: An increase in depression, anxiety, and stress symptoms worldwide, attributed to the COVID-19 pandemic, has been reported. If not treated, it may negatively affect a person’s everyday life by altering physical and social well-being and productivity and increasing expenditure on health care. Cognitive behavioral therapy (CBT)-based interventions are gaining popularity as a means to reduce stress and alleviate anxiety and depression symptoms. Moreover, CBT delivered through a mobile app has the same elements as traditional CBT training (eg, guided discovery). However, unlike conventional training, users of mobile apps are allowed to tailor their own experience at their own speed and schedule.

OBJECTIVE: This study aims to analyze Sensa users’ retrospective data and explore the dose-duration effect to find the optimal usage time when the user showed results.

METHODS: The study cohort comprised 381 consecutive community-based nonclinical users who started using Sensa between October 2021 and March 2022. All users included in the study took the Depression Anxiety Stress Scale-21 (DASS-21) assessment at least 2 times. Other parameters from the database containing all self-reported data were gender, number of active days, total time of use, and age. The primary outcome of the study was a change in the DASS-21 score. Statistical analyses were performed using GraphPad Prism (version 9, GraphPad Software). In addition, a logistic regression model was created to predict how the obtained independent parameters influenced the DASS-21 score.

RESULTS: The main finding of our study was that the majority of participants who started using Sensa were experiencing depression, anxiety, and stress symptoms (92.13%, 80.05%, and 87.93%, respectively). There was a statistically significant decrease of the DASS-21 subdomain scores after the use of the application (anxiety: mean 7.25, SD 4.03 vs mean 6.12, SD 4.00; P=.001; depression: mean 11.05, SD 4.26 vs mean 9.01, SD 4.77; P=.001; stress: mean 11.42, SD 3.44 vs mean 9.96, SD 3.65; P<.001). Finally, the logistic regression model showed that users who were using the app for more than 24 days and had at least 12 active days during that time had 3.463 (95% CI 1.142-11.93) and 2.644 (95% CI 1.024-7.127) times higher chances to reduce their DASS-21 subdomain scores of depression and anxiety, respectively.

CONCLUSIONS: Using the Sensa mobile app was related to decreased depression, anxiety, and stress symptoms.

PMID:37052990 | DOI:10.2196/40671

Altern Ther Health Med. 2023 Apr 14:AT7435. Online ahead of print.

ABSTRACT

CONTEXT: With the development of the Chinese economy, people’s quality of life has improved, obesity caused by excessive nutrition has increased among teenagers, and the age of patients with obesity-induced hypertension has become younger and younger.

OBJECTIVE: The study intended to analyze the factors affecting hypertension in adolescents to find methods to effectively prevent and treat hypertension in that age group.

DESIGN: The research team designed a prospective controlled study.

SETTING: The study took place at the First People’s Hospital of Nantong in Nantong, Jiangsu, China from 2020 to 2022 years.

PARTICIPANTS: Participants were 1000 students in Grades 7 to 9 at the Si’an middle school in Nantong, China.

INTERVENTION: From the 1000 participants, among of them 500 cases of hypertension. The research team (n = 500) participants who were obese and hypertensive and assigned them to the hypertension group, the control group (n = 500) participants with normal weights and no hypertension assigned them to a control group. Participants with obesity-induced hypertension received a comprehensive intervention.

OUTCOME MEASURES: The research team used a questionnaire and a physical examination to collect data about participants’ ages, heights, weights, demographic characteristics, waist circumferences, hip circumferences, and knowledge of hypertension and blood pressure and analyzed the relationships between those factors. The team measured blood pressure, blood lipids, blood glucose, and body mass index at baseline and postintervention.

RESULTS: Significant differences existed between the hypertension and control groups at general data: (1) weight-63.49 ± 13.22 kg and 52.59 ± 10.21 kg, respectively (P = .000); (2) waist circumference-75.44 ± 10.92 cm and 68.73 ± 8.15 cm, respectively (P = .001); (3) hip circumference-92.10 ± 7.98 cm and 85.95 ± 7.91 cm, respectively (P = .000); (4) body mass index (BMI)-22.12 ± 4.02 kg/m2 and 19.58 ± 3.34 kg/m2, respectively (P = .002); (5) waist-hip ratio-0.83 ± 0.08 and 0.81 ± 0.07, respectively (P = .003); and (6) waist-to-height ratio-0.46 ± 0.07 and 0.44 ± 0.06, respectively (P = .000). Only age (p=0.006), hip circumference(p=0.000), and BMI (P = .000) were significantly and positively correlated with hypertension. The regression coefficients for age, hip circumference, and BMI were 0.182, 0.062 and 0.096, respectively. The changes in the hypertension group’s mean systolic blood pressure (SBP), diastolic blood pressure (DBP), BMI, body fat, trunk fat, abdominal fat, upper-limb fat, and lower-limb fat between baseline and postintervention were statistically significant. Significant decreases in the hypertension group’s triglycerides, total cholesterol, and glycated albumin had occurred between baseline and postintervention (all P < .01), and that group’s glucagon (P = .011) had significantly increased. No significant changes had occurred in that group’s blood glucose, glycated hemoglobin, insulin, and insulin resistance index between baseline and postintervention (P < .05).

CONCLUSIONS: Obesity increases the risk of hypertension, and comprehensive interventions can effectively prevent and treat adolescent hypertension.

PMID:37052969