Hasil untuk "Men"

Studia Psychologica

W. Gove

P. Stearns, C. Cockburn

Yuji Jeong, Seok-Won Son, Se-Hong Kim et al.

Objectives: Muscle strength is a fundamental determinant of functional capacity across adulthood. While dietary protein has been widely studied, prospective evidence considering overall dietary patterns remains inconsistent. We examined the association between macronutrient-based dietary patterns and incident decreased muscle strength among adults aged 40 years and older. Methods: We analyzed 31,968 adults aged ≥40 years without decreased muscle strength at baseline from the Korean Genome and Epidemiology Study. The participants were categorized into four groups according to macronutrient energy proportions: high-carbohydrate, high-fat, high-protein, and normal diets. The incidence of decreased muscle strength was defined as <28 kg in men and <18 kg in women at follow-up. Cox proportional hazards models estimated hazard ratios (HRs) and 95% confidence intervals (CIs) of decreased muscle strength between groups, and linear mixed-effects models were used to evaluate longitudinal changes in handgrip strength, including time, group, and the group-by-time interaction. Results: During a median follow-up of 4.0 years, 2,194 participants developed incident decreased muscle strength (incidence rate 1.65 per 100 person-years). The high-protein dietary pattern was associated with a higher risk of incident decreased muscle strength compared with the normal diet (Adjusted HR 1.45, 95% CI 1.06−1.99), whereas no significant associations were observed for high-carbohydrate or high-fat dietary patterns. Changes in dietary patterns from baseline to follow-up were not significantly associated with the risk of decreased muscle strength, and the magnitude of change in handgrip strength over time did not differ across dietary pattern groups. Conclusions: In middle-aged and older Korean adults, the high-protein dietary pattern was associated with an increased risk of incident muscle strength decline compared to the normal dietary pattern, whereas high-carbohydrate and high-fat patterns were not. These findings suggest that a balanced macronutrient composition, rather than protein intake alone, may be relevant to muscle strength.

M. Palta, R. Prineas, R. Berman et al.

Aryudaningrum Nastiti, Putri Fedelita Aistania, Wulandari Evy et al.

Male infertility is significantly influenced by modifiable lifestyle factors such as physical inactivity, obesity, and oxidative stress. Precision exercise has emerged as a promising intervention to reduce oxidative stress and improve sperm quality. This scoping review aimed to map the current evidence on the role of precision exercise and targeted lifestyle modifications in improving fertility-related outcomes among infertile men, following the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) framework. A systematic search was performed in PubMed, ScienceDirect, and Wiley Online Library for studies published between 2020 and 2025. Eligible articles were screened, charted, and thematically analyzed, resulting in the inclusion of nine studies. Key themes were identified: (1) fatty acids and sperm quality, (2) oxidative stress, (3) antioxidants, (4) lifestyle and environmental factors, and (5) preconception care. Moderate physical activity and antioxidant-rich interventions were consistently associated with improvements in sperm motility, concentration, and morphology. In contrast, sedentary behaviour, heat exposure, obesity, and smoking were associated with a reduction in semen quality. In general, precision exercise and targeted lifestyle modifications demonstrate the potential to improve male fertility, although more standardized and longitudinal research is needed to support clinical application.

Drew Walker, Swati Rajwal, Sudeshna Das et al.

Social isolation and loneliness, which have been increasing in recent years strongly contribute toward suicide rates. Although social isolation and loneliness are not currently recorded within the US National Violent Death Reporting System's (NVDRS) structured variables, natural language processing (NLP) techniques can be used to identify these constructs in law enforcement and coroner medical examiner narratives. Using topic modeling to generate lexicon development and supervised learning classifiers, we developed high-quality classifiers (average F1: .86, accuracy: .82). Evaluating over 300,000 suicides from 2002 to 2020, we identified 1,198 mentioning chronic social isolation. Decedents had higher odds of chronic social isolation classification if they were men (OR = 1.44; CI: 1.24, 1.69, p<.0001), gay (OR = 3.68; 1.97, 6.33, p<.0001), or were divorced (OR = 3.34; 2.68, 4.19, p<.0001). We found significant predictors for other social isolation topics of recent or impending divorce, child custody loss, eviction or recent move, and break-up. Our methods can improve surveillance and prevention of social isolation and loneliness in the United States.

Shuvom Sadhuka, Sophia Lin, Bonnie Berger et al.

Many sequential decision settings in healthcare feature funnel structures characterized by a series of stages, such as screenings or evaluations, where the number of patients who advance to each stage progressively decreases and decisions become increasingly costly. For example, an oncologist may first conduct a breast exam, followed by a mammogram for patients with concerning exams, followed by a biopsy for patients with concerning mammograms. A key challenge is that the ground truth outcome, such as the biopsy result, is only revealed at the end of this funnel. The selective censoring of the ground truth can introduce statistical biases in risk estimation, especially in underserved patient groups, whose outcomes are more frequently censored. We develop a Bayesian model for funnel decision structures, drawing from prior work on selective labels and censoring. We first show in synthetic settings that our model is able to recover the true parameters and predict outcomes for censored patients more accurately than baselines. We then apply our model to a dataset of emergency department visits, where in-hospital mortality is observed only for those who are admitted to either the hospital or ICU. We find that there are gender-based differences in hospital and ICU admissions. In particular, our model estimates that the mortality risk threshold to admit women to the ICU is higher for women (5.1%) than for men (4.5%).

Sugat Chaturvedi, Rochana Chaturvedi

Generative artificial intelligence (AI), particularly large language models (LLMs), is being rapidly deployed in recruitment and for candidate shortlisting. We audit several mid-sized open-source LLMs for gender bias using a dataset of 332,044 real-world online job postings. For each posting, we prompt the model to recommend whether an equally qualified male or female candidate should receive an interview callback. We find that most models tend to favor men, especially for higher-wage roles. Mapping job descriptions to the Standard Occupational Classification system, we find lower callback rates for women in male-dominated occupations and higher rates in female-associated ones, indicating occupational segregation. A comprehensive analysis of linguistic features in job ads reveals strong alignment of model recommendations with traditional gender stereotypes. To examine the role of recruiter identity, we steer model behavior by infusing Big Five personality traits and simulating the perspectives of historical figures. We find that less agreeable personas reduce stereotyping, consistent with an agreeableness bias in LLMs. Our findings highlight how AI-driven hiring may perpetuate biases in the labor market and have implications for fairness and diversity within firms.

Hafsah Mahzabin Chowdhury, Sharifa Sultana

Reproductive well-being is shaped by intersecting cultural, religious, gendered, and political contexts, yet current technologies often reflect narrow, Western-centric assumptions. In this literature review, we synthesize findings from 147 peer-reviewed papers published between 2015 and 2025 across HCI, CSCW and social computing, ICTD, digital and public health, and AI for well-being scholarship to map the evolving reproductive well-being landscape. We identify three thematic waves that focused on early access and education, cultural sensitivity and privacy, and AI integration with policy-aware design, and highlight how technologies support or constrain diverse reproductive experiences. Our analysis reveals critical gaps in inclusivity, with persistent exclusions of men and non-binary users, migrants, and users in the Global South. Additionally, we surfaced the significant absence of literature on the role of stakeholders (e.g., husband and family members, household maids and cleaning helping hands, midwife, etc.) in the reproductive well-being space. Drawing on the findings from the literature, we propose the ReWA framework to support reproductive well-being for all agendas through six design orientations associated with: location, culture, and history; polyvocality and agency; rationality, temporality, distributive roles, and methodology.

Jarett Dewbury, Chi-en Amy Tai, Alexander Wong

Prostate cancer (PCa) is the most prevalent cancer among men in the United States, accounting for nearly 300,000 cases, 29\% of all diagnoses and 35,000 total deaths in 2024. Traditional screening methods such as prostate-specific antigen (PSA) testing and magnetic resonance imaging (MRI) have been pivotal in diagnosis, but have faced limitations in specificity and generalizability. In this paper, we explore the potential of enhancing PCa gland segmentation using a novel MRI modality called synthetic correlated diffusion imaging (CDI$^s$). We employ several state-of-the-art deep learning models, including U-Net, SegResNet, Swin UNETR, Attention U-Net, and LightM-UNet, to segment prostate glands from a 200 CDI$^s$ patient cohort. We find that SegResNet achieved superior segmentation performance with a Dice-Sorensen coefficient (DSC) of $76.68 \pm 0.8$. Notably, the Attention U-Net, while slightly less accurate (DSC $74.82 \pm 2.0$), offered a favorable balance between accuracy and computational efficiency. Our findings demonstrate the potential of deep learning models in improving prostate gland segmentation using CDI$^s$ to enhance PCa management and clinical support.

W. Kannel, P. Sorlie, P. McNamara

Yurie Momose, Hiroshi Ishida

This study examines whether the experience of being bullied at school has a long-term impact on three health outcomes in adulthood in Japan: subjective health, mental health, and activity restriction due to health conditions. We employed a random effects model and the Karlson-Holm-Breen method to decompose the total effect of being bullied at school on health inequality into a direct effect and an indirect effect working through intervening factors including education, marriage, economic well-being, and social networks. We used the Japanese Life Course Panel Surveys 2007-2020 (waves 1-14), a nationally representative panel data set that includes 2,260 male and 2,608 female respondents. The results demonstrate that for both men and women, the direct effect of being bullied at school was strong and significant. Bullying experiences in childhood had a long-term impact on health outcomes in adulthood, regardless of social background and mediating factors of education, marriage, economic well-being, and social networks. Bullying victimization increased the risk of poor subjective health, low mental health scores, and activity restriction due to health conditions. Intervening factors (especially economic well-being and friendship) mediated the association between bullying experiences and all health outcomes, but their contributions were modest. Policy measures not only to prevent bullying during childhood but also to alleviate its negative consequences in adulthood should be considered to help people who have encountered adverse childhood experiences.

Charan Thej, Rajika Roy, Zhongjian Cheng et al.

Abstract Historically, a lower incidence of cardiovascular diseases (CVD) and related deaths in women as compared with men of the same age has been attributed to female sex hormones, particularly estrogen and its receptors. Autologous bone marrow stem cell (BMSC) clinical trials for cardiac cell therapy overwhelmingly included male patients. However, meta-analysis data from these trials suggest a better functional outcome in postmenopausal women as compared with aged-matched men. Mechanisms governing sex-specific cardiac reparative activity in BMSCs, with and without the influence of sex hormones, remain unexplored. To discover these mechanisms, Male (M), female (F), and ovariectomized female (OVX) mice-derived EPCs were subjected to a series of molecular and epigenetic analyses followed by in vivo functional assessments of cardiac repair. F-EPCs and OVX EPCs show a lower inflammatory profile and promote enhanced cardiac reparative activity after intra-cardiac injections in a male mouse model of myocardial infarction (MI). Epigenetic sequencing revealed a marked difference in the occupancy of the gene repressive H3K9me3 mark, particularly at transcription start sites of key angiogenic and proinflammatory genes in M-EPCs compared with F-EPCs and OVX-EPCs. Our study unveiled that functional sex differences in EPCs are, in part, mediated by differential epigenetic regulation of the proinflammatory and anti-angiogenic gene CCL3, orchestrated by the control of H3K9me3 by histone methyltransferase, G9a/Ehmt2. Our research highlights the importance of considering the sex of donor cells for progenitor-based tissue repair.

Sofía González-Rueda, Osvaldo García-Pérez, Myrna Luna-Gutiérrez et al.

<b>Background/Objectives:</b> Prostate cancer (PC) represents the second most diagnosed form of cancer in men on a global scale. Despite the theranostic efficacy of prostate-specific membrane antigen (PSMA) radioligands, there is a spectrum of PC disease in which PSMA expression is low or absent. The gastrin-releasing peptide receptor (GRPR), also known as the bombesin type 2 receptor, has been identified as a target in both the early and advanced stages of PC. The objective of this study was to prepare and preclinically evaluate [^99mTc]Tc-iPSMA-Bombesin ([^99mTc]Tc-iPSMA-BN), estimate dosimetry in healthy subjects, and assess the diagnostic efficacy of the radiotracer in patients with metastatic PC, with the hypothesis of non-inferiority to one of the gold standards, [¹⁸F]-PSMA-1007. Moreover, the potential of [^99mTc]Tc-iPSMA-BN as a theranostic pair with [¹⁷⁷Lu]Lu-iPSMA-BN was investigated. <b>Methods:</b> [^99mTc]Tc-iPSMA-BN was prepared under GMP conditions with radiochemical purities > 95%, showing specific recognition by PSMA and GRP receptors in prostate cancer cells and mice bearing PC tumors. Six healthy volunteers were enrolled, and [^99mTc]Tc-iPSMA-BN SPECT/CT imaging (740 MBq) was performed to estimate the dosimetry. The pilot clinical study included seven mCRPC and four mCSPC patients with prior androgen deprivation therapy. All patients had a recent [¹⁸F]-PSMA-PET/CT scan and were enrolled in this prospective study on their own signed behalf. Volumetric lesion target-to-background ratios (TBRs) were obtained from PET/CT and SPECT/CT images. <b>Results:</b> [^99mTc]Tc-iPSMA-BN effective radiation dose was 1.94 ± 0.39 mSv/740 MBq. A total of 178 lesions were detected via CT, 162 via [¹⁸F]-PSMA-1007 PET, and 155 via [^99mTc]Tc-iPSMA-BN SPECT. Three patients with mCRPC had higher TBR values on SPECT than on PET. [^99mTc]Tc-iPSMA-BN appears to have better lesion detection in patients with aggressive histologic transformation. Two-way ANOVA analysis revealed a significant difference in TBR values between patients with mCRPC and mCSPC (<i>p</i> < 0.05) but no difference between [¹⁸F]-PSMA-1007 and [^99mTc]Tc-iPSMA-BN (<i>p</i> > 0.05). In one patient, [¹⁷⁷Lu]Lu-iPSMA-BN showed a high correlation with [^99mTc]Tc-iPSMA-BN for lesions that concentrated radioactivity. <b>Conclusions:</b> [^99mTc]Tc-iPSMA-BN SPECT/CT is a promising alternative not only for diagnostic purposes but also for broadening the spectrum of PC patients who may benefit from radionuclide theranostics. The results justify the development of a clinical trial involving a significant number of patients with PC.

Ignacio Alarcón, Susana Mondschein, Alvaro Urzua et al.

Conflict of interest: No Introduction and Objectives: Alcohol-associated cirrhosis (AAC) is the leading cause of death from cirrhosis in the world. In recent years, an increase in alcohol consumption and AAC has been observed, especially in women, young people, low socioeconomic levels, and certain ethnic groups. Objective: To perform a descriptive study of patients hospitalized for AAC and non-alcohol-associated cirrhosis (NAAC) in Chile between 2001 and 2020, stratified by socioeconomic and demographic variables of the patients. Patients / Materials and Methods: Of 72,096 hospital discharges, 44,971 patients hospitalized for AAC and non-alcohol-associated cirrhosis (NAAC) in Chile between 2001 and 2020, were identified. A descriptive statistical study was carried out on the behavior of the AAC and NAAC at the national and regional levels by sex, age, and health insurance provider. Additionally, a study of patient survival rates was carried out using Kaplan-Meier. Results and Discussion: The results are detailed in Table 1: presents the number of cases per 100,000 inhabitants in the corresponding group under study. Conclusions: When calculating the number of discharges per 100,000 inhabitants in Chile over the years, the AAC has remained relatively constant, while the NAAC has shown a reduction of more than 50%, going from 12.8 to 6.2 hospital discharges. Furthermore, of the total discharges due to cirrhosis, nearly two-thirds correspond to AAC.Regarding the differences between health insurance, a contrast is observed between the AAC and NAAC. AAC is more prevalent in patients with public health insurance, both for men and women. Although NAAC is higher in patients with private health insurance for both sexes, it does not present significant differences between forecast and sex compared to AAC.Finally, an age trend is observed in discharges due to cirrhosis, both in AAC and NAAC, especially in the age groups of 50-59 and 60-69. Furthermore, it is precisely in these age groups that AAC tends to be more prevalent than NAAC.

Sillas Oliveira Leonel Júnior, Mateus Dias Antunes, Ramon Gustavo de Moraes Ovando et al.

OBJECTIVE: To analyze the behavior of blood pressure and heart rate in elderly people practicing physical exercises in Maringá, Paraná, Brazil. METHODS: 70 elderly volunteers were evaluated, 41 women and 29 men, with a mean age of 67.2 ± 6.6 and 65.9 ± 12.3 years, respectively. They performed three minutes of exercise on the selected equipment, evaluated by means of a frequency meter and by the auscultatory method, with the aid of a sphygmomanometer. RESULTS: High heart rate values were recorded in the multi-exerciser. In both the heart rate and the blood pressure, there were significant differences in the means of the values found in the initial evaluation, compared to the means of the final evaluation (p < 0.05). CONCLUSIONS: Blood pressure rises within the physiological limits established for the elderly, and these activities may be considered safe for this population.

Natalia V. Grishina

Background. One of the trends in the development of modern psychology is an increasing interest in the study of context within the principle of contextuality as recognition of the influence of context factors on psychological phenomenology. The focus on studying the context, once designated by G.M. Andreeva as a fundamental principle of the new paradigm of social psychology, is currently the methodological principle of all psychological science and modern personality psychology. Objectives. The goal of the study consists in theoretical and empirical substantiation of the concept of purpose as a parameter for describing a person’s relationship with the outside world. Study Participants. The total sample included 350 people (45.9% women and 53.8% men). Young people took part in the survey (84.8% aged 17 to 25 years). Method. To describe a person’s life goals and the characteristics of the purpose setting, a survey form was created. The form recorded the significance of goals in the main areas of a person’s life, satisfaction with their implementation, an assessment of the possibilities for achieving these goals in the current life situation, etc. (40 points). The “Potential for Self-Change” technique (V.R. Manukyan, I.R. Murtazina, N.V. Grishina); “Test of existential motivations” (A. Langle); “Time Perspective Questionnaire” (F. Zimbardo) were used to assess personal factors. Cluster analysis was used to process the data in this study. Results. The data obtained confirmed the contextual nature of a person’s goals, their connection with the spatiotemporal coordinates of the context, the most important role of goals as a factor in organizing a person’s relationship with the outside world, with the meaningfulness of life. Depending on the presence or absence of significant goals in a person, the expressiveness of the goal orientation, types of relationships with the outside world are identified — focus on pre-adaptive change, readiness for adaptive change, unpreparedness for change. Conclusion. The results obtained confirmed the effectiveness of describing the purpose regulation of human activity as a language for describing the relationship of an individual with the outside world. The most important prospect in the further development of this research direction is the description of the integrity of an individual as a form of a person’s relationship with the world.

Reyhaneh Hashempour, Barbara Plank, Aline Villavicencio et al.

This work presents a set of experiments conducted to predict the gender of Twitter users based on language-independent features extracted from the text of the users' tweets. The experiments were performed on a version of TwiSty dataset including tweets written by the users of six different languages: Portuguese, French, Dutch, English, German, and Italian. Logistic regression (LR), and feed-forward neural networks (FFNN) with back-propagation were used to build models in two different settings: Inter-Lingual (IL) and Cross-Lingual (CL). In the IL setting, the training and testing were performed on the same language whereas in the CL, Italian and German datasets were set aside and only used as test sets and the rest were combined to compose training and development sets. In the IL, the highest accuracy score belongs to LR whereas in the CL, FFNN with three hidden layers yields the highest score. The results show that neural network based models underperform traditional models when the size of the training set is small; however, they beat traditional models by a non-trivial margin, when they are fed with large enough data. Finally, the feature analysis confirms that men and women have different writing styles independent of their language.

David Dorn, Florian Schoner, Moritz Seebacher et al.

We measure human capital using the self-reported skill sets of nearly 9 million U.S. college graduates from professional profiles on LinkedIn. We aggregate skill strings into 48 clusters of general, occupation-specific, and managerial skills. Multidimensional skills can account for several important labor-market patterns. First, the number and composition of skills are systematically related to measures of human-capital investment such as education and work experience. The number of skills increases with experience, and the average age-skill profile closely resembles the well-established concave age-earnings profile. Second, workers who report more skills, especially specific and managerial ones, hold higher-paid jobs. Skill differences account for more earnings variation than detailed measures of education and experience. Third, we document a sizable gender gap in skills. While women and men report nearly equal numbers of skills shortly after college graduation, women's skill count increases more slowly with age subsequently. A simple quantitative exercise shows that women's slower skill accumulation can be fully accounted for by reduced work hours associated with motherhood. The resulting gender differences in skills rationalize a substantial proportion of the gender gap in job-based earnings.