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Recent changes to US research funding are having far-reaching consequences that imperil the integrity of science and the provision of care to vulnerable populations. Resisting these changes, the BJPsych Portfolio reaffirms its commitment to publishing mental science and advancing psychiatric knowledge that improves the mental health of one and all.
The stars of the Milky Way carry the chemical history of our Galaxy in their atmospheres as they journey through its vast expanse. Like barcodes, we can extract the chemical fingerprints of stars from high-resolution spectroscopy. The fourth data release (DR4) of the Galactic Archaeology with HERMES (GALAH) Survey, based on a decade of observations, provides the chemical abundances of up to 32 elements for 917 588 stars that also have exquisite astrometric data from the Gaia satellite. For the first time, these elements include life-essential nitrogen to complement carbon, and oxygen as well as more measurements of rare-earth elements critical to modern-life electronics, offering unparalleled insights into the chemical composition of the Milky Way. For this release, we use neural networks to simultaneously fit stellar parameters and abundances across the whole wavelength range, leveraging synthetic grids computed with Spectroscopy Made Easy. These grids account for atomic line formation in non-local thermodynamic equilibrium for 14 elements. In a two-iteration process, we first fit stellar labels to all 1 085 520 spectra, then co-add repeated observations and refine these labels using astrometric data from Gaia and 2MASS photometry, improving the accuracy and precision of stellar parameters and abundances. Our validation thoroughly assesses the reliability of spectroscopic measurements and highlights key caveats. GALAH DR4 represents yet another milestone in Galactic archaeology, combining detailed chemical compositions from multiple nucleosynthetic channels with kinematic information and age estimates. The resulting dataset, covering nearly a million stars, opens new avenues for understanding not only the chemical and dynamical history of the Milky Way but also the broader questions of the origin of elements and the evolution of planets, stars, and galaxies.
Posthuman understanding of music and bodies as matter highlights otherwise forms of musical embodied learning. In this paper, we focus on an early childhood classroom music event and think diffractively with cognitive and posthuman theories in order to extend our insight into it. Accordingly, we explore cognitive approaches to music and movement, as well as posthuman concepts such as agency, embodiment, affect and desire, (de)territorialisations and assemblages. As music educators, we acknowledge the relationship between music and movement in early childhood, but our posthuman reading of the event enables a more equitable understanding of children’s music learning.
The bauxite beneficiation process in the Amazon generates a significant amount of tailings, which were historically stored in large basins without a designated purpose. One of these materials is clay obtained from the bauxite washing process, which is rich in Al2O3 minerals, primarily gibbsite and kaolinite, and currently lacks practical applications. This study aimed to explore an application of this tailing in the production of low-temperature geopolymers, considering its material characteristics and availability. Geopolymer synthesis was conducted following a Doehlert-type experimental design to evaluate the properties of the raw materials. The tailing was characterized by X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), thermogravimetry-differential scanning calorimetry (TG-DSC), X-ray fluorescence (XRF), and inductively coupled plasma optical emission spectroscopy (ICP-OES), whereas the geopolymers were characterized by XRD, FTIR, and mechanical compressive strength testing. The mineralogical composition of the bauxite tailings consists of 45% of low-ordered kaolinite, 34% of gibbsite, and 21% of other minerals. Compressive strength values of the geopolymer produced ranged from 8.99 to 41.89 MPa, a good value for the type of geopolymer produced. The best compressive strength results were obtained at a low Na/Al ratio (0.5–0.6) and low curing temperature, which favors the application of the material for the synthesis of geopolymer, contributing to lower energy consumption and lower CO2 emissions compared with usual geopolymers.
Negative perceptions of mental health professionals can deter individuals from seeking mental healthcare. Given the high burden of mental health globally, it is essential to understand attitudes towards mental health professionals. Social media platforms like Twitter/X provide valuable insights into the views of the general population.
Aims
This study aimed to use social media to investigate the (a) public perceptions (positive or negative) of mental health professionals, (b) changes in these perceptions over time and (c) engagement levels with tweets about mental health professionals over time.
Method
We collected all tweets posted in English between 2007 and 2023, containing key terms such as ‘mental health’, ‘psychology’, ‘psychologist’, ‘psychiatry’, ‘psychiatrist’, ‘neurology’ and ‘neurologist’. A total of 1500 tweets were manually classified into categories, which were used in conjunction with semi-supervised machine learning to categorise a large data-set.
Results
For most key terms, there was a higher frequency of positive perceptions compared with negative, with this trend improving over time. However, tweets containing ‘psychiatrist’ exhibited a higher proportion of negative perceptions (n = 4872, 39.52% negative v. n = 1972, 15.99% positive before 2020). After 2020, the gap narrowed, yet negative perceptions continued to dominate (n = 5505, 36.10% negative v. n = 3472, 22.77% positive).
Conclusions
Overall, positive perceptions of mental health and mental health professionals increased over time. However, ‘psychiatrist’ had a consistently higher proportion of negative perceptions. This study underscores the need to improve public perception of psychiatrists, and demonstrates the potential of using Twitter/X to better understand public attitudes and reduce stigma associated with accessing mental health services.
The genus Maculabatis is a group of batoid rays from the Dasyatidae family, consisting of two main complexes: the gerrardi (spotted species) and the pastinacoides (plain species). This study investigated the diversity within the Maculabatis gerrardi complex, revealing the presence of two distinct geographical lineages, with a potential new species captured off the coast of Mozambique. Molecular analysis showed a significant divergence: COI sequences from Mozambique specimens exhibited over 99% similarity with M. gerrardi from South Africa but more than 2% divergence from those in the Indo-Pacific. Phylogenetic analysis identified two distinct subclades, suggesting at least two hidden lineages within the genus Maculabatis and consequently possible new undescribed species within M. gerrardi complex. These findings emphasize the importance of conducting additional research that integrates both morphological and molecular methods to better understand the group's diversity and evolutionary dynamics, ultimately supporting the development of effective conservation strategies.
To maximize its value, the design, development and implementation of structural health monitoring (SHM) should focus on its role in facilitating decision support. In this position paper, we offer perspectives on the synergy between SHM and decision-making. We propose a classification of SHM use cases aligning with various dimensions that are closely linked to the respective decision contexts. The types of decisions that have to be supported by the SHM system within these settings are discussed along with the corresponding challenges. We provide an overview of different classes of models that are required for integrating SHM in the decision-making process to support the operation and maintenance of structures and infrastructure systems. Fundamental decision-theoretic principles and state-of-the-art methods for optimizing maintenance and operational decision-making under uncertainty are briefly discussed. Finally, we offer a viewpoint on the appropriate course of action for quantifying, validating, and maximizing the added value generated by SHM. This work aspires to synthesize the different perspectives of the SHM, Prognostic Health Management, and reliability communities, and provide directions to researchers and practitioners working towards more pervasive monitoring-based decision-support.
For a class of volume-preserving partially hyperbolic diffeomorphisms (or non-uniformly Anosov) $f\colon {\mathbb {T}}^d\rightarrow {\mathbb {T}}^d$ homotopic to linear Anosov automorphism, we show that the sum of the positive (negative) Lyapunov exponents of f is bounded above (respectively below) by the sum of the positive (respectively negative) Lyapunov exponents of its linearization. We show this for some classes of derived from Anosov (DA) and non-uniformly hyperbolic systems with dominated splitting, in particular for examples described by Bonatti and Viana [SRB measures for partially hyperbolic systems whose central direction is mostly contracting. Israel J. Math.115(1) (2000), 157–193]. The results in this paper address a flexibility program by Bochi, Katok and Rodriguez Hertz [Flexibility of Lyapunov exponents. Ergod. Th. & Dynam. Sys.42(2) (2022), 554–591].
The presence of psychiatric comorbidity significantly impacts the quality of life for patients and often goes unnoticed within the realm of neurology.
Objectives
This study’s objective was to elucidate and characterize psychiatric comorbidity among patients hospitalized for neurological disorders in mainland Portugal.
Methods
This retrospective observational study analyzed hospitalizations categorized with a primary diagnosis of neurological disorders, defined by Clinical Classification Software (CSS) for ICD-9-CM codes 76, 77, 79-85, 95, and 109, occurring in adult patients (≥18 years) between 2008 and 2015. Psychiatric comorbidity was determined by the presence of secondary diagnoses falling under CCS categories 650-670.
Results
A total of 294,806 hospitalization episodes were documented with a primary diagnosis of neurological disorders in adult patients between 2008 and 2015 in Portuguese public hospitals. Approximately 26.9% (n=79,442) of these episodes were associated with documented psychiatric comorbidity (22.1% for female hospitalizations and 32.2% for male hospitalizations). Patients with recorded psychiatric comorbidity were younger (66.2±16.2 vs. 68.6±17.2 for those without psychiatric comorbidity, p<0.001), exhibited a lower overall in-hospital mortality rate, and experienced significantly longer mean hospital stays. Among these comorbidities, ‘Delirium, dementia, amnestic, and other cognitive disorders’ were documented in 7.4% (n=21,965) of hospitalizations, followed by alcohol-related disorders in 6.5% (n=19,302) and mood disorders in 6.1% (n=18,079). Epilepsy/seizures had the highest recorded psychiatric comorbidity rate among neurological disorders (39.9%).
Conclusions
Psychiatric comorbidity is present in more than a quarter of hospitalizations with a primary diagnosis of neurological disorders. The prevalence of psychiatric comorbidity varies across different neurological disorders and is associated with distinct demographic and clinical characteristics.
In Poland, the therapeutic modality of Electroconvulsive Therapy (ECT) boasts a history spanning over seven decades. Despite its documented therapeutic efficacy and safety profile, its integration into clinical practice remains suboptimal. Recent data elucidates a marked paucity in the utilization rate of ECT in Poland. Therefore, it is imperative to discern the barriers impeding its broader adoption of this potentially life-saving treatment.
Objectives
The aim of this study is to investigate the attitude of early career psychiatrists towards ECT and its place in clinical practice in Poland.
Methods
A web-based, anonymous survey was conducted, targeting early career psychiatrists in Poland. The questionnaire, part of an international study, consisted of 36 multiple-choice and Likert scale questions.
Results
The majority of respondents emphasised the importance of further educational opportunities related to ECT, seeing it as a safe, effective, and possibly lifesaving procedure. Most of them benefited from ECT training during their residency, however less than a half had the opportunity to administer ECT themselves. They exhibited an interest to introduce ECT into their therapeutic repertoire, depending on the provision of requisite financial and infrastructural support.
Conclusions
There is a palpable eagerness among early career psychiatrists in Poland to enhance their proficiency in ECT. A robust curriculum, encompassing both theoretical discourse and hands-on ECT training, is paramount for all psychiatry trainees. Concurrently, there is a pressing need to formulate national ECT guidelines within Poland, which could potentially ameliorate apprehensions surrounding this procedure.
Epilepsy is one of the most common serious brain illness, with symptoms influenced by multiple risk factors and a strong genetic predisposition, rather than having a single expression and cause¹. Neuropsychiatric symptoms in epilepsy can encompass manifestations such as mood alterations, anxiety, sleep disturbances, psychosis, and behavioral disorders. While the motor and sensory manifestations of epileptic seizures are widely recognized, neuropsychiatric symptoms accompanying epilepsy are often underestimated. Therefore, it is essential to understand the most prevalent epidemiological profile of these patients to improve the diagnosis and management of these symptoms.
Objectives
Our goal was to evaluate the neuropsychiatric behavior of epilepsy patients in Brazilian over the past 3 years through hospitalization data in order to outline an epidemiological and behavioral profile.
Methods
A cross-sectional, descriptive, retrospective, and quantitative study was conducted on hospitalizations of individuals simultaneously diagnosed with epilepsy, schizotypal and delusional disorders, and mood disorders in all five regions of Brazil (South, Southeast, Midwest, North, and Northeast) between February 2020 and December 2022. Data from January 2020 were not available. The data used were collected through the Department of Health Informatics of the Brazilian Unified Health System (DATASUS) in the “Hospital Information System of SUS” section, gathering information regarding the nature of care, age range, gender, and ethnicity of the patients.
Results
The analysis covers the years 2020 to 2022, totaling 503,045 hospitalizations. In 2022, the highest number of cases occurred (≈ 37.55%), followed by 2021 (≈ 33.62%) and 2020 (≈ 28.81%). Urgent hospitalizations represented ≈ 90.85% of the total. The most affected age group was 30 to 39 years old (≈ 18.30%). Men were more affected than women (≈ 52.03% and ≈ 47.96%, respectively), and Caucasians accounted for ≈ 36.07% of the hospitalizations. The average length of stay was 19.1 days, and the mortality rate was 1.4%.
Conclusions
Thus, there is a gradual and annual increase in the number of hospitalizations during the observed period. While there is a minimal disparity between the affected genders, it is evident that the profile of male, caucasian, and adult patients is the most prevalent. Moreover, the predominantly urgent nature of hospitalizations points to an alarming scenario regarding this issue. From the analysis of the data obtained in the study, there is a clear need for interventions capable of reducing the prevalence of hospitalizations for neuropsychiatric symptoms in epilepsy patients in Brazil.
Neuropsychiatric disorders are the leading cause of disability worldwide, as seen in cases such as depression, anxiety, bipolar mood disorder and schizophrenia, which can be developed or exacerbated by the use of psychoactive substances. Most mental disorders have an early onset, often leading to early and/or permanent disability, increasing the need and cost of healthcare. Therefore, it is necessary to improve the identification of the epidemiological profile of these cases in the South of Brazil in order to enhance the diagnosis and reduce the costs associated with managing these disorders.
Objectives
The present study aimed to analyze statistical data regarding hospitalizations related to mental disorders caused by the use of psychoactive substances and alcohol in the southern region of Brazil, highlighting the pathological scenario and identifying the most prevalent profiles of these disorders in this region.
Methods
A cross-sectional, descriptive, retrospective, and quantitative study was conducted on hospitalizations of individuals diagnosed with mental and behavioral disorders due to the use of psychoactive substances and alcohol in the states of the Southern region of Brazil (Paraná, Santa Catarina, and Rio Grande do Sul) between February 2020 and December 2022. Data of January 2020 were not available. The data used were collected through the Department of Health Informatics of the Brazilian Unified Health System (DATASUS) in the “Hospital Information System of SUS” section, gathering information regarding the nature of the care, age range, gender, and ethnicity of the patients.
Results
The study covers the years 2020 to 2022, indicating a total of 81,608 hospitalizations, with the year 2022 having the highest number of cases (≈ 37.13%), followed by 2021 (≈ 33.30%) and 2020 (≈ 29.55%). The states with the highest number of hospitalizations were Rio Grande do Sul (≈ 54.90%), Paraná (≈ 29.29%), and Santa Catarina (≈ 15.79%). Urgent hospitalizations accounted for ≈ 87.29% of the total. The most affected age group was 30 to 39 years old (≈ 25.61%). Men were more affected than women (≈ 81.70% and ≈ 18.28%, respectively). Caucasians accounted for ≈ 64.29% of the hospitalizations. The average length of stay was 20.8 days, and the mortality rate was 0.32%.
Conclusions
There is a clear increase in the number of hospitalizations related to mental disorders caused by the use of psychoactive substances in the period from 2020 to 2022 in the southern region of Brazil, with the highest number of cases in the state of Rio Grande do Sul. The most affected population consisted of Caucasian men aged 30 to 39 years old. Furthermore, these results may be related to the increasing trend of psychoactive substance use among the Brazilian population and also the COVID-19 pandemic, which led to a period of underreporting due to social isolation.
In recent years, mental health has gained prominence in public health, prompting thorough investigations into psychiatric condition trends. This study conducts a comprehensive epidemiological analysis of hospitalizations for Schizophrenia, Schizotypal, and Delirium Disorders in Rio Grande do Sul (RS) over the past five years. By revealing these patterns, it enhances our understanding of regional mental health dynamics and offers insights for intervention strategies, resource planning, and improved mental healthcare. The ultimate goal is to advance more effective and accessible mental healthcare in RS and beyond.
Objectives
This study aims to analyze the prevalence and epidemiological profile of hospitalizations due to psychiatric disorders to assist in the diagnosis and outcome of affected patients.
Methods
A cross-sectional, descriptive, retrospective, and quantitative study was conducted regarding hospitalizations for Schizophrenia, Schizotypal Disorders, and Delirium in the state of RS between January 2018 and November 2022. Data were collected from the Department of Informatics of the Brazilian Unified Health System (DATASUS) in the “Hospital Information System of SUS” section, focusing on the nature of care, age group, gender, and ethnicity of the patients. The information was aggregated over the five-year period based on the four mentioned descriptors and subsequently analyzed to establish a profile of hospitalizations during that period.
Results
The analysis spans from 2018 to 2022, encompassing a total of 28,345 hospitalizations. In 2019, there was the highest number of cases (22.21%), followed by 2018 (21.08%). Urgent care admissions constituted 85.34% of the total. The age group most affected was 35 to 39 years (11.8%). Men were more affected than women (60.18%), and the majority of hospitalizations were among the Caucasian ethnicity (75.12%). The average length of stay was 23.7 days, and the mortality rate stood at 0.26%.
Conclusions
The increasing trend in hospitalizations, peaking in 2019, highlights the need for preventive measures. Urgent admissions (85.34%) underscore the demand for accessible mental health resources. Men in the 35 to 39 age group are disproportionately affected, suggesting specific risk factors. The predominance of Caucasian ethnicity emphasizes the need for culturally sensitive care. A longer average length of stay (23.7 days) underscores treatment complexity, while a low mortality rate (0.26%) signals effective medical care. In essence, these findings inform tailored mental health policies to enhance service quality and prioritize patient-centered approaches.
Many soils developed from volcanic rocks in southern Brazil exhibit spontaneous magnetization caused by the presence of fine-grained maghemite (γ-Fe2O3), but few attempts were made to quantify or characterize this important soil component. To that end, clays were separated from freely drained soils derived from acid (≥63% SiO2), intermediate (54–62% SiO2), and basic (≤53% SiO2) igneous rocks produced by the Paraná flood volcanism. The sample set included soils with a wide range of pedogenic development on different landscape positions. The Fe oxide mineralogy of these samples was examined by using a combination of selective dissolution, magnetic susceptibility, and X-ray diffraction (XRD) techniques. Hematite and maghemite were the primary Fe oxides in mature soils (Oxisols, Ultisols, and Alfisols) developed from basic rocks; whereas goethite was dominant in all other soils, especially those formed from acid-intermediate rocks. The association of maghemite with basic rock materials suggests that it was primarily formed by oxidation of lithogenic magnetite. A strong, positive correlation (R2 = 0.89) was obtained between mass specific magnetic susceptibility (χ) of the clay fractions and maghemite contents estimated by XRD. Either method could be used for quantitative analyses, but χ was more sensitive than XRD at low maghemite concentrations (<2 wt. %). The clay-sized maghem-ites were superparamagnetic with an estimated value for the mass specific magnetic susceptibility (χlf) value of 91,000 × 10−8 m3 kg−1 and frequency dependent variations of 10–15%. The maghemites also had low unit cell constants, which, if attributed entirely to replacement of Fe by Al, would correlate with Al substitutions in the range of 5–16 mole %. Selective dissolution of the soil maghemites was achieved by treatment of Fe oxide concentrates with 1.8 M H2SO4 at 75°C for 2 h.
A dusky red Oxisol forming on a tholeiitic basalt is found to contain varying proportion of aluminous hematite (Hm) and titanoaluminous maghemite (Mh) in the different size fractions. Maghemite is the main iron oxide in the sand and silt fractions whereas Hm is dominant in the clay fraction, together with gibbsite (Gb), kaolinite (Ka), rutile (Rt) (and probably anatase, An) and Mh. Maghemite is also the major oxide mineral in the magnetic separates of soil fractions (sand, about 65% of the relative Mössbauer spectral area; silt, 60%). Hematite (sand, 30%; silt, 15%) and ilmenite (Im) (sand, 5%; silt, 16%) are also significantly present in the magnetic extract. Accessory minerals are Rt and An. No magnetite (Mt) was detected in any soil fraction. Sand- and silt-size Mh have similar nature (a0= 0.8319 ± 0.0005 nm; about 8 mol% of Al substitution; saturation magnetization of 49 J T−1 kg−1), and certainly a common origin. Lattice parameters of clay-Mh are more difficult to deduce, as magnetic separation was ineffective in removing nonmagnetic phases. Al content in Hm varies from 14 mol% (clay and silt) to 20 mol% (sand). The proposed cation distribution on the spinel sites of the sand-size Mh is:
(◻ = vacancy, [ ] = tetrahedral sites and { } = octahedral sites), with a corresponding molar mass of 208.8 g mol−1. The predicted magnetization based on this formula is σ ≅ 68 J T−1 kg−1, assuming collinear spin arrangement. The large discrepancy with the experimentally determined magnetization is discussed.
The prevalence of medical illnesses is high among patients with psychiatric disorders. The current study aimed to investigate multi-comorbidity in patients with psychiatric disorders in comparison to the general population. Secondary aims were to investigate factors associated with metabolic syndrome and treatment appropriateness of mental disorders.
Methods
The sample included 54,826 subjects (64.73% females; 34.15% males; 1.11% nonbinary gender) from 40 countries (COMET-G study). The analysis was based on the registration of previous history that could serve as a fair approximation for the lifetime prevalence of various medical conditions.
Results
About 24.5% reported a history of somatic and 26.14% of mental disorders. Mental disorders were by far the most prevalent group of medical conditions. Comorbidity of any somatic with any mental disorder was reported by 8.21%. One-third to almost two-thirds of somatic patients were also suffering from a mental disorder depending on the severity and multicomorbidity. Bipolar and psychotic patients and to a lesser extent depressives, manifested an earlier (15–20 years) manifestation of somatic multicomorbidity, severe disability, and probably earlier death. The overwhelming majority of patients with mental disorders were not receiving treatment or were being treated in a way that was not recommended. Antipsychotics and antidepressants were not related to the development of metabolic syndrome.
Conclusions
The finding that one-third to almost two-thirds of somatic patients also suffered from a mental disorder strongly suggests that psychiatry is the field with the most trans-specialty and interdisciplinary value and application points to the importance of teaching psychiatry and mental health in medical schools and also to the need for more technocratically oriented training of psychiatric residents.
Energy consumption in buildings, both residential and commercial, accounts for approximately 40% of all energy usage in the United States, and similar numbers are being reported from countries around the world. This significant amount of energy is used to maintain a comfortable, secure, and productive environment for the occupants. So, it is crucial that energy consumption in buildings must be optimized, all the while maintaining satisfactory levels of occupant comfort, health, and safety. Machine learning (ML) has been proven to be an invaluable tool in deriving important insights from data and optimizing various systems. In this work, we review some of the most promising ways in which ML has been leveraged to make buildings smart and energy-efficient. For the convenience of readers, we provide a brief introduction to the relevant ML paradigms and the components and functioning of each smart building system we cover. Finally, we discuss the challenges faced while implementing machine learning algorithms in smart buildings and provide future avenues for research in this field.
Patients with a first episode of psychosis (FEP) display clinical, cognitive, and structural brain abnormalities at illness onset. Ventricular enlargement has been identified in schizophrenia since the initial development of neuroimaging techniques. Obstetric abnormalities have been associated with an increased risk of developing psychosis but also with cognitive impairment and brain structure abnormalities. Difficulties during delivery are associated with a higher risk of birth asphyxia leading to brain structural abnormalities, such as ventriculomegaly, which has been related to cognitive disturbances.
Methods
We examined differences in ventricular size between 142 FEP patients and 123 healthy control participants using magnetic resonance imaging. Obstetric complications were evaluated using the Lewis–Murray scale. We examined the impact of obstetric difficulties during delivery on ventricle size as well as the possible relationship between ventricle size and cognitive impairment in both groups.
Results
FEP patients displayed significantly larger third ventricle size compared with healthy controls. Third ventricle enlargement was associated with diagnosis (higher volume in patients), with difficulties during delivery (higher volume in subjects with difficulties), and was highest in patients with difficulties during delivery. Verbal memory was significantly associated with third ventricle to brain ratio.
Conclusions
Our results suggest that difficulties during delivery might be significant contributors to the ventricular enlargement historically described in schizophrenia. Thus, obstetric complications may contribute to the development of psychosis through changes in brain architecture.
In tropical regions, water stress is one of the main causes of the reduction in forage productivity, and irrigation strategies can mitigate the problem, especially for highly productive species. The objective of this study was to evaluate the effects of irrigation, genotype and plant size on productive responses and water use efficiency (WUE) of elephant grass (Cenchrus purpureus [Schumach.] Morrone), in the rainy and dry season. The experimental design was randomized in blocks, arranged in split plots, the main plots were established based on the use of irrigation and the subplots were the tall-sized genotypes (IRI 381 and Elephant B) and dwarfs (Taiwan A-146 2.37 and Mott). The genotypes were evaluated for two years and harvested every 60 days. Water use efficiency, total forage accumulation per year and harvest, forage accumulation rate and forage density were evaluated. There was a significant difference between the genotypes in terms of total forage accumulated (P < 0.05). The most productive genotype was IRI 381, which showed the greatest total forage accumulation (42 168 kg of DM/ha in two years) in the irrigated plots. During the rainy seasons, IRI 381 stood out in terms of forage accumulated (24 667 kg of DM/ha). Irrigation favoured increases in forage accumulation around 60%, in both years of evaluation. Irrigation and plant size influenced the productivity and WUE of elephant grass harvested in 60-day intervals. Tall genotypes and Taiwan A-146 2.37 (dwarf size) stood out in most of the productive traits analysed, while Mott was highlighted by its forage density.
The aging population in the developed world has implied increasing age diversity in the workforce of organizations. Consequently, mutual perceptions about one’s co-workers and age discrimination is becoming increasingly important.
Objectives
This study aims to explore how perceptions about older workers’ work (un)adaptability, work effectiveness and workplace age discrimination vary according to participants’ psychosocial factors, such as age group, gender, education level and work sector.
Methods
This study included a sample of 453 workers in Portugal, diverse in terms of age, gender, education level and work sector. Four different instruments were used: (a) a sociodemographic questionnaire; (b) an older workers’ Work Adaptability scale; (c) an older workers’ Work Effectiveness Scale and; (d) the Workplace Age Discrimination Scale (WADS).
Results
Middle-aged and older participants perceive older workers as more adaptable than younger participants. The oldest group of participants perceives older workers to be more work-effective and experience the highest levels of age discrimination in the workplace, when compared to the other age groups. Also, participants with lower levels of education tend to perceive higher levels of workplace age discrimination, when compared to participants with high school and higher education.
Conclusions
Generational perceptions in the workplace are perceived by workers differently, hence organizations should implement age management strategies to address age discrimination, particularly due to the increasing proportion of older workers.