Consistent Predictor Research Articles

Mediational role of risk perception in the relationship between vaccination knowledge and intention

BackgroundPrevious studies have shown that parents demand for information on vaccinations is universal. Nonetheless, parental knowledge demonstrated mixed results in vaccination intention, attitude, uptake, or confidence. In contrast, risk perception is a consistent predictor of vaccination-related outcomes. ObjectiveThis study aimed to establish risk perception as a mediator between vaccination knowledge and intention. MethodUsing a multistage random sampling technique, a cross-sectional survey was conducted with expectant mothers from maternity and child health clinics in the districts of Petaling, Klang, Gombak, and Hulu Langat. 416 respondents answered the self-administered questionnaire. Data was analysed using SPSS version 27 for descriptive statistics and Amos version 27 with bootstrapping procedure for mediation analysis. ResultsVaccination knowledge predicted risk perception [std β = 0.743, p = 0.036], risk perception predicted vaccination intention [std β = 0.934, p = 0.006], and risk perception fully mediate the relationship between vaccination knowledge and intention [std β = 0.694, p = 0.016]. The mediation model showed satisfactory fit indices: χ2/df (2.898), comparative fit index 0.946, Tucker-Lewis index 0.939, and root mean squared error of approximation 0.061. ConclusionThe goal of educational interventions is to increase vaccination intention by addressing vaccine information that influences both subjective and objective risk perception.

Sex Difference in Characteristics and Predictors of In-Hospital Mortality among Patients with COVID-19

Introduction: With a surge in the prevalence of coronavirus disease-2019 (COVID-19) in Beijing starting in October 2022, hospitalisation rates increased markedly. This study aimed to evaluate factors associated with in-hospital mortality in patients with COVID-19. Methods: Using data from hospitalised patients, sex-based differences in clinical characteristics, in-hospital management, and in-hospital mortality among patients diagnosed with COVID-19 were evaluated. Predictive factors associated with mortality in 1,091 patients admitted to the Beijing Anzhen Hospital (Beijing, China) for COVID-19 between October 2022 and January 2023 were also evaluated. Results: Data from 1,091 patients hospitalised with COVID-19 were included in the analysis. In-hospital mortality rates for male and female patients were 14.9% and 10.4%, respectively. Multifactorial logistic analysis indicated that lymphocyte percentage (LYM%) (odds ratio [OR] 0.863, 95% confidence interval [CI] 0.805–0.925; p < 0.001), uric acid (OR 1.004, 95% CI: 1.002–1.006; p = 0.001), and high-sensitivity C-reactive protein (OR 1.094, 95% CI: 1.012–1.183; p = 0.024) levels were independently associated with COVID-19-related in-hospital mortality. Among female patients, multifactorial analysis revealed that LYM% (OR 0.856, 95% CI: 0.796–0.920; p < 0.001), older age (OR 1.061, 95% CI: 1.020–1.103; p = 0.003), obesity (OR 2.590, 95% CI: 1.131–5.931; p = 0.024), and a high high-sensitivity troponin I level (OR 2.602, 95% CI: 1.157–5.853; p = 0.021) were risk factors for in-hospital mortality. Receiver operating characteristic (ROC) curve analysis, including area under the ROC curve, showed that the efficacy of LYM% in predicting in-hospital death was 0.800 (sensitivity, 63.2%; specificity, 83.2%) in male patients and 0.815 (sensitivity, 87.5%; specificity, 64.4%) in female patients. Conclusion: LYM% is a consistent predictor of in-hospital mortality for both sexes. Older age and markers of systemic inflammation, myocardial injury, and metabolic dysregulation are also associated with a high mortality risk. These findings may help identify patients who require closer monitoring and tailored interventions to improve outcomes.

Sustainability consciousness among nursing students in Egypt: a cross-sectional study

BackgroundRecognizing nurses as pivotal change agents and urgent preparation for the next generation is crucial for addressing sustainability issues and cultivating a sustainable healthcare system. Reports highlight gaps in the integration of sustainable development goals (SDGs) into nursing curricula, prompting the International Council of Nurses to stress the importance of sustainable development in nursing education. The extent to which nursing students are aware of sustainability issues remains to be determined. This study addresses a global and Egyptian research gap by evaluating and comparing Sustainability Consciousness (SC) levels among nursing students at three universities, providing insights into awareness, attitudes, and behaviors related to sustainability.MethodsThis descriptive comparative study was conducted across three nursing faculties within three Egyptian public universities. The target population for this study was undergraduate nursing students enrolled in these universities during the academic year 2022-2023. This study used the extended version of the Sustainability Consciousness Questionnaire (SCQ-L) to measure individuals' knowingness, attitudes, and behaviors related to the three dimensions of sustainable development: environmental, social, and economic.ResultsMore than half of the nursing students across the three universities expressed unfamiliarity with the SDGs. Social media was the most common source of information across the three universities. Sohag University recorded the highest median (IQR) scores in sustainability knowingness (72.0, IQR: 70.0-81.0), attitudes (56.0, IQR: 53.0-61.5), and behavior (65.0, IQR: 60.0-69.0) across their respective dimensions, as well as in overall SC (195, IQR: 184.5-208.5). This was followed by Damanhour University, with a median score of 179.0 (IQR: 124.5-194), and then Alexandria University, with a median score of 116.0 (IQR: 85.5-153), all of which were significantly different (all with p values=0.000). Older students from rural areas exhibited higher SC median scores, while students with insufficient family income and no familiarity with the SDGs had lower SC scores.ConclusionsThis study highlighted the prevalent reliance on social media for information among nursing students across these universities, emphasizing the pivotal role of academic institutions in integrating sustainability development concepts in nursing education. Sohag University's notable commitment to sustainability practices has contributed to the higher SC of its students compared to Alexandria and Damanhour Universities. The study also identified age, place of residence, family income, and familiarity with the SDGs as consistent predictors of sustainability consciousness.

Drinking contexts, coping motive, simultaneous cannabis use, and high-intensity drinking among adults in the United States

Abstract Aims High-intensity drinking (HID), extreme drinking considerably above the level of heavy episodic drinking (HED), is associated with long-term health and social consequences. There is limited understanding of HID beyond young adulthood. This study aims to identify concurrent risk factors for HID, comparing age differences among all adults. Methods Multinomial logistic and linear regression modeling was performed using a nationally-representative sample of adults (analytic n = 7956) from the 2015 and 2020 National Alcohol Surveys. The outcomes were any HID of 8–11 drinks and 12+ drinks for men, and 8+ drinks for women, and corresponding frequencies. Concurrent risk factors included coping motive, sensation seeking, simultaneous use of alcohol and cannabis (SAC), and drinking at a bar or party. Analyses were stratified by age (18–29 vs. older) and sex. Results For younger men, sensation-seeking was significantly associated with HID (vs. no HED) at both levels and frequency of HID 8–11 drinks, while drinking to cope was only significant for 12+ drinks. For older men, drinking to cope was a consistent predictor for both HID level and its frequency, but sensation-seeking was not significant. Both coping and sensation-seeking were significantly associated with any HID for all women, while coping was significant for HID frequency for younger women. Frequent drinking at bars and parties were associated with greater odds of HID for all adults. With HED as referent, similar patterns of (though fewer significant) associations were observed. Conclusions Younger and older adults share similar risk factors for HID, with coping more consistent for older men.

Sudden gains in depression and anxiety during an online pain management programme for chronic pain.

Chronic pain is associated with depression and anxiety symptoms. Pain management programms, delivered face-to-face or via the internet, can effectively help adults manage the impacts of chronic pain. Sudden gains are defined as substantial, rapid, and lasting symptom reductions that occur between consecutive treatment sessions and have been associated with better treatment outcomes in non-pain samples. This study examined whether adults with chronic pain report sudden gains in depression or anxiety symptoms during an 8-week online pain management programme, and whether sudden gains were associated with better treatment outcomes for depression or anxiety. Dominant theories of sudden gains argue that therapists are required for sudden gains to be maintained and improve treatment outcomes. Using data from a published randomized controlled trial (n = 338), sudden gains and treatment outcomes were compared across three levels of therapist guidance provided alongside the programme: weekly, optional, and self-guided. Similar rates of sudden gains were observed in depression (22%) and anxiety (24%) across the treatment period, and most sudden gains occurred between Weeks 1 and 2 of treatment. Therapist guidance was not associated with sudden gains; higher baseline symptom severity emerged as the only consistent predictor of sudden gain status. No significant differences in treatment outcomes for depression or anxiety symptoms between sudden gainers and non-gainers were observed across therapist guidance conditions. These results do not support an association between sudden gains in depression or anxiety symptoms and better post-treatment outcomes, at least for adults with chronic pain. Sudden gains in depression and anxiety symptoms were not associated with improved treatment outcomes for adults with chronic pain who participated in an online pain management programme, regardless of the level of therapist guidance provided. These findings suggest possible differences in symptom change in chronic pain samples compared to general population samples.

Resident Salary Compared to Living Wages at United States Training Institutions.

To compare living wages and salaries at US residency programs. It is unknown how resident salary compares to living wages across the United States (US). Cross-sectional analysis of publicly available resident salary affordability from training centers with post-graduate-year (PGY)-1 through PGY-7 resident compensation for 2022-2023 was compared with the Massachusetts Institute of Technology (MIT) Living-Wage Calculator. Resident salary to living wage ratios were calculated using PGY-4 salary for each family composition. Univariate and multivariable analysis of PGY-4 salary affordability was performed, accounting for proportion of expected living wages to taxes, transportation, housing, healthcare, childcare, and food, as well as unionization and state income-tax. 118 residency programs, representing over 60% of US trainees, were included, 20 (17%) of which were unionized. Single-parent families were unable to earn a living wage until PGY-7. Residents with 1 child in 2-adult (single-income) and 2-adult (dual-income) families earn below living wages until PGY-5 and PGY-3, respectively. Residents with more than 1 child never earn a living wage. Multivariable regression analysis using PGY-4 salary: living wage ratios in single-child, 2-parent homes showed food expense and unionization status were consistent predictors of affordability. Unionization was associated with lower affordability pre-stipend, almost equivalent affordability post-stipend, and lower affordability post-stipend and union dues. Resident salaries often preclude residents with children from earning a living wage. Unionization is not associated with increased resident affordability in this cross-sectional analysis. All annual reimbursement data should be centrally compiled, and additional stipends should be considered for residents with children.

Co-occurrence and abundance of pollinators and pests in horticultural systems in Africa using an integrated Earth observation-based approach

ABSTRACT Flower-visiting insects that are pollinators play a critical role in promoting biodiversity in agroecosystems and agricultural food production through their pollination ecosystem service. However, several factors affect the survival of these pollinators and flower visitors, including the heavy and indiscriminate application of agrochemicals to control crop insect pests, which is impacted by various cropping patterns in a landscape and by shifting environmental conditions. Thus, this study focused on investigating the influence of cropping patterns on the spatial distribution of pollinators (Apis mellifera, Hymenoptera other than A. mellifera, and Syrphidae), flower visitors (Calliphoridae), and pests, i.e. fruit fly (Bactrocera dorsalis) and false codling moth (Thaumatotibia leucotreta) of the avocado, a pollinator-dependent crop. Cropping patterns, earth observation data and relevant environmental variables were used as the predictor variables for modeling the potential distribution and abundance of avocado pollinators, flower visitors and pests in one of the leading regions in avocado production in Kandara, Maragua, and Gatanga sub-Counties in Murang’a County, Kenya. In specific, species distribution modeling (SDM) and species abundance modeling (SAM) techniques, i.e. the maximum entropy (MaxEnt) model (presence-only data) and negative binomial (NB) distribution in a generalized linear model (GLM) (abundance data) were used, respectively. Additionally, the spatial distribution probability of the co-occurrence of the pollinators, flower visitors and pests was also analyzed. This study revealed that cropping patterns was the most consistent influential predictor variables for the distribution of avocado pollinators, flower visitors and pests. A large area of Kandara and some parts of Maragua and Gatanga sub-Counties showed a high spatial distribution probability of the studied avocado pollinators, flower visitors and pests. However, only the majority of Kandara sub-County had a high spatial distribution probability score of the potential co-occurrence of the avocado pollinators, flower visitors and pests. Further, A. mellifera was the most abundant flower-visiting pollinator compared with the other studied pollinators, while B. dorsalis was the most abundant avocado pest compared with T. leucotreta. In addition, GLM analysis indicated that no environmental variable was significant in explaining the abundance of the studied avocado pollinators, whereas precipitation and elevation derivatives of aspect and hillshade were statistically significant (p ≤ 0.05) in explaining the abundance of B. dorsalis. Solar radiation was significant in explaining only the abundance of T. leucotreta. Our study revealed that SDM and SAM modeling outputs can be used to inform decision-making for the implementation of sustainable management efforts regarding pollinators, flower visitors, and insect pests.

A Systematic Review of Trajectories of Clinically Relevant Distress Amongst Adults with Cancer: Course and Predictors.

To improve interventions for people with cancer who experience clinically relevant distress, it is important to understand how distress evolves over time and why. This review synthesizes the literature on trajectories of distress in adult patients with cancer. Databases were searched for longitudinal studies using a validated clinical tool to group patients into distress trajectories. Twelve studies were identified reporting trajectories of depression, anxiety, adjustment disorder or post-traumatic stress disorder. Heterogeneity between studies was high, including the timing of baseline assessments and follow-up intervals. Up to 1 in 5 people experienced persistent depression or anxiety. Eight studies examined predictors of trajectories; the most consistent predictor was physical symptoms or functioning. Due to study methodology and heterogeneity, limited conclusions could be drawn about why distress is maintained or emerges for some patients. Future research should use valid clinical measures and assess theoretically driven predictors amendable to interventions.

How Chronic Pain Patients’ and Physicians’ Communication Influences Patients’ Uncertainty: A Pre- and Post-Consultation Study

Chronic pain is a health problem that is difficult to diagnose, treat, and manage, partly owing to uncertainty surrounding ambiguous causes, few treatment options, and frequent misunderstandings in clinical encounters. Pairing uncertainty management theory with medical communication competence, we predicted that both physicians and patients are influential to patients’ uncertainty appraisals and uncertainty management. We collected pre- and post-consultation data from 200 patients with chronic neck and spine/back pain and their physicians. Patients’ reports of their physician’s communication were a consistent predictor of their post-consultation uncertainty outcomes. Physicians’ reports of both their own and patients’ communication competence were associated with patients’ positive uncertainty appraisals. Physicians’ reports of patients’ communication competence were also associated with reductions in patients’ uncertainty. Findings illustrate how both interactants’ perceptions of communication competence—how they view their own (for physicians) and the other’s—are associated with patients’ post-consultation outcomes.

Radiomics and Clinical Data for the Diagnosis of Incidental Pulmonary Nodules and Lung Cancer Screening: Radiolung Integrative Predictive Model

IntroductionEarly diagnosis of lung cancer (LC) is crucial to improve survival rates. Radiomics models hold promise for enhancing LC diagnosis. This study assesses the impact of integrating a clinical and a radiomic model based on deep learning to predict the malignancy of pulmonary nodules (PN). MethodologyProspective cross-sectional study of 97 PNs from 93 patients. Clinical data included epidemiological risk factors and pulmonary function tests. The region of interest of each chest CT containing the PN was analysed. The radiomic model employed a pre-trained convolutional network to extract visual features. From these features, 500 with a positive standard deviation were chosen as inputs for an optimised neural network. The clinical model was estimated by a logistic regression model using clinical data. The malignancy probability from the clinical model was used as the best estimate of the pre-test probability of disease to update the malignancy probability of the radiomic model using a nomogram for Bayes’ theorem. ResultsThe radiomic model had a positive predictive value (PPV) of 86%, an accuracy of 79% and an AUC of 0.67. The clinical model identified DLCO, obstruction index and smoking status as the most consistent clinical predictors associated with outcome. Integrating the clinical features into the deep-learning radiomic model achieves a PPV of 94%, an accuracy of 76% and an AUC of 0.80. ConclusionsIncorporating clinical data into a deep-learning radiomic model improved PN malignancy assessment, boosting predictive performance. This study supports the potential of combined image-based and clinical features to improve LC diagnosis.

Role of microRNAs in Diabetes-Associated Periodontitis: A Scoping Review.

Diabetes mellitus (DM), a metabolic disorder, exhibits a bidirectional relationship with periodontitis (PD), and recently, microRNAs (miRNAs) were associated with their progression. This review aims to assess the role of miRNAs in the pathogenesis of DM-associated PD and their plausible application as a biomarker for PD in individuals with DM. The search conducted until September 2023 on Medline (Pubmed), Scopus, Embase, and Web of Science using the keywords "microRNA," "miRNA," or "miR," combined with "Diabetes" and "PD" yielded 100 articles. Only research focusing on the role of miRNAs in the pathogenesis of DM-associated PD and their potential application as biomarkers for both conditions were included. Finally, 14 studies were assessed for any bias, and the collected data included study design, sample size, participant groups, age, sample obtained, PD severity, miRNAs examined, clinical and biochemical parameters related to DM and PD, and primary outcomes. In vivo studies indicated altered expression of miRNAs-146a, -146b, -155, -200b, -203, and -223, specifically in the comorbid subjects with both conditions. Animal, ex vivo, and in vitro studies demonstrated altered expression of miRNAs-126, -147, -31, -25-3p, -508-3p, -214, 124-3p, -221, -222, and the SIRT6-miR-216/217 axis. These miRNAs impact innate and adaptive immune mechanisms, oxidative stress, hyperglycemia, and insulin sensitivity, thereby promoting periodontal destruction in DM. miRNA-146a emerges as a reliable biomarker of PD in DM, whereas miRNA-155 is a consistent predictor of PD in subjects without DM. miRNAs exert influence on immuno-inflammation in DM-associated PD. Although they can be biomarkers of PD and DM, their clinical utility is hindered by the absence of standardized tests to evaluate their sensitivity and specificity. Moreover, there has been limited exploration of the role of miRNAs in DM-associated PD through human studies. Future clinical trials are warranted to address this gap, focusing on standardizing sample collection, miRNA sources, and detection methods. This approach will enable the identification of specific miRNAs for DM-associated PD.

THE PHYSIOLOGICAL VALIDITY OF CRITICAL SPEED DERIVED FROM A 3-MINUTE ALL-OUT SWIM TEST

INTRODUCTION AND AIMS The boundary between heavy and severe exercise domains is one of the most consistent predictors of swimming performance. The gold standard approach to assessing this physiological threshold (numerous 30-minute constant-load trials) is complex and time-consuming, leading practitioners to explore other methodologies, which has left coaches questioning the validity of testing outcomes and reducing testing implementation. The recent proposal of a modified 3-minute all-out swim test has produced reliable estimates of critical speed (CS), however the estimates have not been validated against physiological measures. The aim of this study was to establish the physiological validity of CS derived from the modified 3-minute all-out swim test in elite swimmers. METHODS 16 elite swimmers completed a 3-minute test consisting of 12 maximal 25-m efforts separated by 5s of rest. CS was calculated as the average speed of the slowest two 25-m efforts from the last four completed. To identify MLSS, swimmers completed a 30-minute trial broken into 6 x 5-minute intervals. Blood lactate concentration collected at each interval determined the subsequent interval speed. Over two additional visits, participants completed a 30-minute constant speed trial – at 2% above and 2% below CS to determine the physiology surrounding CS. Statistical analyses were conducted to compare CS and MLSS and determine their association, and to compare physiological measures within the two constant load trials. RESULTS MLSS and CS were not statistically different (p&amp;gt;0.05) and had a strong positive correlation (r=0.98). A physiological steady state was verified in the below CS trial (p&amp;gt;0.05). A physiological steady state was not obtained in the above CS trial (p&amp;lt;0.05). CONCLUSIONS These findings suggest the modified 3-minute all-out swim test as a valid methodology to assess the CS of elite swimmers. Implementation of this methodology could enable critical insight into how athletes are adapting to training and contribute significantly to swimming talent identification.

Cardiorespiratory fitness is a strong and consistent predictor of morbidity and mortality among adults: an overview of meta-analyses representing over 20.9 million observations from 199 unique cohort studies

ObjectiveTo examine and summarise evidence from meta-analyses of cohort studies that evaluated the predictive associations between baseline cardiorespiratory fitness (CRF) and health outcomes among adults.DesignOverview of systematic reviews.Data sourceFive bibliographic...

Perseverance, a measure of conscientiousness, is a valid predictor of achievement and truancy across the globe.

Is Conscientiousness a useful construct across cultures? Using the 2012 Program for International Student Assessment data, we examined whether perseverance, a measure of Conscientiousness, was related to achievement and truancy across 62 countries/regions (N > 470,000). We investigated whether these relationships were linear or curvilinear in nature and assessed the utility of item-level information. After establishing partial metric invariance of the perseverance measure across various countries/regions and cultural regions, our findings unveiled that perseverance consistently predicted both math achievement and truancy, with predominantly linear associations. Notably, among the five items of the Perseverance scale, the item reflecting one's tendency to give up easily in the face of challenges emerged as the strongest and most consistent predictor of math achievement. Further, country-level correlations between perseverance and both math achievement and truancy displayed contradictory patterns compared to individual-level correlations, suggesting the presence of biasing factors in how people respond to these measures. Nonetheless, it appears reasonable to conclude that measures of Conscientiousness are pan-cultural predictors of achievement and truancy. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Multidisciplinary analysis of cancer-related fatigue at the time of diagnosis: preliminary results of the BIOCARE FActory cohort.

Cancer-related fatigue (CRF) is a common side effect of cancer and cancer treatment that significantly impairs the quality of life and can persist for years after treatment completion. Although fatigue is often associated with cancer treatment, it is also a result of the disease itself, even before intervention. CRF at the time of diagnosis may affect treatment timing or completion and is a consistent predictor of post-treatment fatigue at any time. The mechanisms underlying CRF are multidimensional and not well understood, particularly at the time of diagnosis. Sixty-five breast cancer patients at the time of diagnosis were included. The participants completed self-assessment questionnaires about CRF, sleep disturbances, and emotional symptoms and wore an accelerometer to assess levels of spontaneous physical activity and sleep quality. During the experimental session, the participants underwent cognitive, neuromuscular, and exercise metabolism evaluations. Using augmented backward elimination regression, this study found that emotional symptoms and perceived sleep disturbances were the strongest predictors of CRF (adjusted r2 = 0.51). Neuromuscular fatigability and sleep disturbance were also associated with physical dimensions, whereas cognitive performance was associated with cognitive dimensions. At the time of diagnosis, emotional and cognitive dimensions are over-represented compared to the general population, and specific subdimensions have specific predictors that support the idea of distinct mechanisms. Evaluating CRF subdimensions and their potential mechanisms at the time of diagnosis would be particularly relevant for identifying high-risk patients and offering them appropriate interventions. This study was registered at ClinicalTrials.gov (NCT04391543) in May, 2020.

The Influence of Personality Traits on Postpartum Depression: A Systematic Review Based on the NEO-FFI Scale.

Postpartum depression (PPD) is a significant global health concern with profound implications for mothers, families, and societies. This systematic review aims to synthesize current research findings to understand better how personality traits, as assessed by the NEO Five-Factor Inventory (NEO-FFI), contribute to the development and progression of PPD. Conducted in January 2024, this review searched major databases like PubMed, PsycINFO, and Scopus up to December 2023, focusing on the NEO-FFI's role in evaluating PPD. Following PRISMA guidelines, studies were selected based on strict criteria, including the exclusive use of NEO-FFI for personality assessment and a focus on postpartum women. A total of seven studies were included after a rigorous two-step screening process, and their data were qualitatively synthesized. The review covered a total of 4172 participants, with a prevalence of clinically significant postpartum depression symptoms ranging from 10.6% to 51.7%. Notably, Neuroticism emerged as a significant predictor of PPD, with odds ratios ranging from 1.07 (95% CI: 0.96-1.20) in some studies to as high as 1.87 (95% CI: 1.53-2.27) in others. In contrast, traits like Extraversion and Conscientiousness generally showed protective effects, with lower scores associated with reduced PPD risk. For instance, Extraversion scores correlated negatively with PPD risk (Beta = -0.171) in one study. However, the impact of other traits such as Openness and Agreeableness on PPD risk was less clear, with some studies indicating negligible effects. The review highlights Neuroticism as a consistent and significant predictor of PPD risk, with varying impacts from other personality traits. The findings suggest potential pathways for targeted interventions in maternal mental health care, emphasizing the need for comprehensive personality evaluations in prenatal and postnatal settings.

Predictive soil health indicators across a boreal forest to agricultural conversion gradient

AbstractA changing climate offers new opportunities to expand agriculture in northern latitudes, and understanding forest‐to‐agriculture land conversion impacts is critical to ensure soil sustainability. Using the Comprehensive Assessment of Soil Health (CASH) framework, we identified a minimum suite of indicators with little collinearity to reliably predict soil impacts during the conversion of boreal forest to agriculture and a time since conversion gradient (forest, &lt;10 years, &gt;10 and &lt;50 years, and &gt;50 years since conversion). We sampled paired forest and agricultural sites and used multiple linear regression to assess 16 indicators and found four‐ and six‐indicator models predicted the CASH score with varying but reasonable accuracy depending on conversion class. Organic matter, water aggregate stability, and pH were consistent predictors across all classes, as well as one or more micronutrients. The CASH framework appears to be more suitable for agricultural soils and as time since conversion proceeds.

Correlates of climate change skepticism.

While much research has examined the correlates of climate change beliefs from an alarmist perspective, less work has systematically measured climate change skepticism. This study aims to create a comprehensive tool capturing climate skeptics' beliefs and test its association with individual difference variables. 502 European adults completed a 22-item questionnaire on climate change (CC) skepticism as well as measures of ambiguity tolerance, belief in a just world (BJW), dark-side personality traits, and self-esteem. Principal components analysis revealed a four dimension structure of CC. Political ideology was the most consistent and significant predictor across the climate change skepticism factors. Dark-side traits, also played a role. Future research should further validate this measure and explore how climate change information could be tailored to different audiences. Understanding the nuances and causes of climate skepticism can enable more effective communication to promote sustainability.

Post-COVID-19 respiratory sequelae two years after hospitalization: an ambidirectional study

COVID-19 lung sequelae can impact the course of patient lives. We investigated the evolution of pulmonary abnormalities in post-COVID-19 patients 18-24 months after hospital discharge. A cohort of COVID-19 patients admitted to the Hospital das Clínicas da Faculdade de Medicina da USP in São Paulo, Brazil, between March and August of 2020, were followed-up 6-12 months after hospital discharge. A subset of patients with pulmonary involvement and chest computed tomography (CT) scans were eligible to participate in this second follow-up (18-24 months). Data was analyzed in an ambidirectional manner, including retrospective data from the hospitalization, and from the first follow-up (6-12 months after discharge), and compared with the prospective data collected in this new follow-up. From 348 patients eligible, 237 (68%) participated in this follow-up. Among participants, 139 (58%) patients presented ground-glass opacities and reticulations, and 80 (33%) presented fibrotic-like lesions (traction bronchiectasis and architectural distortion). Five (2%) patients improved compared to the 6-12-month assessment, but 20 (25%) of 80 presented worsening of lung abnormalities. For those with relevant assessments on both occasions, comparing the CT findings between this follow-up with the previous assessment, there was an increase in patients with architectural distortion (43 [21%] of 204 vs 57 [28%] of 204, p=0.0093), as well as in traction bronchiectasis (55 [27%] of 204 vs 69 [34%] of 204, p=0.0043). Patients presented a persistent functional impairment with demonstrated restrictive pattern in both follow-ups (87 [42%] of 207 vs 91 [44%] of 207, p=0.76), as well as for the reduced diffusion capacity (88 [42%] of 208 vs 87 [42%] of 208, p=1.0). Length of hospitalization (OR 1.04 [1.01-1.07], p=0.0040), invasive mechanical ventilation (OR 3.11 [1.3-7.5] p=0.011), patient's age (OR 1.03 [1.01-1.06] p=0.0074 were consistent predictors for development of fibrotic-like lung lesions in post-COVID-19 patients. Post-COVID-19 lung sequelae can persist and progress after hospital discharge, suggesting airways involvement and formation of new fibrotic-like lesions, mainly in patients who were in intensive care unit (ICU). São Paulo Research Foundation (22/01769-5) and Instituto Todos pela Saúde (C1721).

Removal of older males increases extra-pair siring success of yearling males.

In animals, reproductive performance typically improves over time early in life. Several ultimate and proximate mechanisms may contribute to such an age-related improvement and these mechanisms can act in a relative or in an absolute sense. Low performance of young individuals may be the consequence of a comparison or competition with older individuals (relative), or it may be due to specific traits of young individuals and be unrelated to the presence of older competitors (absolute). Here, we perform a test to disentangle whether the effect of age class (yearling or older) on male extra-pair siring success is relative or absolute. Male age is the most consistent predictor of male extra-pair siring success across bird species, yet the mechanisms underlying this pattern are not well understood. Low extra-pair siring success of yearling males may be a consequence of the presence of older ("adult") males (hypothesis 1), because adult males are more successful in intra- and intersexual interactions or because females prefer to copulate with adult males when available (relative preference). Alternatively, low extra-pair siring success of yearlings may be independent of the presence of adult males (hypothesis 2), for example, if yearling males on average invest less in extra-pair behavior or if females avoid them as extra-pair mates, independent of the availability of older males (absolute preference). To distinguish between these 2 hypotheses, we experimentally manipulated the age structure of a nest-box-breeding population of blue tits (Cyanistes caeruleus) by removing almost all adult males, and compared patterns of extra-pair paternity in the experimental year with those from the preceding 15 "control" years. Removal of adult males resulted in a substantial increase in the extra-pair siring success of yearling males compared to the "control" years, but did not affect the population-level frequency of extra-pair paternity or its spatial patterns. Our results provide clear evidence that extra-pair siring success of yearlings can increase and that it depends on the presence of older males in the population, indicating a relative effect of age on reproductive performance. These results suggest that older males outcompete yearling males in direct or indirect interactions, in sperm competition or as a result of differences in attractiveness to females.