Background: Insomnia has been associated with decreased academic performance and unhealthy behaviors in university students. Although many studies have analyzed sleep phenomenology among this population, only few have focused on insomnia and its related variables. In addition, such studies do not always include a clinical interview or a specific and validated instrument for measuring insomnia. This study aimed to explore the prevalence of insomnia symptoms and the relationship between insomnia and health habits, mental health, and academic performance in a large university student sample. Methods: Five hundred and eighty-two students were recruited from the University of Granada, Spain. Data were collected through an online survey with questions on sociodemographic and academic data and health habits as well as the Pittsburgh Sleep Quality Index, Insomnia Severity Index, Sleep Hygiene Index, and Sleepiness, Depression, Anxiety, and Stress Scales. A multiple regression analysis explored the relationship between academic performance, health habits, mood state, and insomnia symptoms. Results: The prevalence of students with symptoms of insomnia was high (39.7%). A multiple logistic regression analysis revealed that depression, sleep hygiene, stress and anxiety were significant predictors of insomnia symptoms. Multivariate analyses revealed that subjective insomnia symptoms, sleep efficiency, and depression were significantly correlated with academic performance in a dependent way. Conclusions: In university students, anxiety, stress, and poor sleep hygiene are risk factors for insomnia, which plays an important role in academic performance. Promoting sleep and mental health could be a potentially effective way to improve their academic performance.

Background: Ageism refers to the presence of stereotypes, prejudices, and discrimination against older adults based on their age. In healthcare settings it negatively impacts opportunities for treatment, rehabilitation, and cure opportunities. This study aims to assess the presence of ageism among healthcare workers toward older patients and to identify the associated sociodemographic, personal, and work-related factors. Methods: A systematic review of the literature was performed using PubMed, Embase, CINAHL, and Scopus. Studies that assessed the presence of ageism among healthcare professionals through a quantitative or mixed methodology and published between 2014 and 2024 were included. Results: Fifteen articles met the inclusion criteria. Healthcare workers generally exhibited low rates of ageism; however, results varied across studies. Although the available literature is limited, workers with less knowledge about aging and less experience, especially in geriatric units, showed higher ageism scores. Intergenerational contact and a wish to work with older people appeared to be important factors for promoting a positive relationship with older adults. Other sociodemographic and sociocultural factors, such as age and sex, were not related to ageism. Workload and work-related factors, such as stress or lack of personnel, might be associated with ageism, but few studies were found to be available to confirm these results. Conclusions: Ageism scores among professionals were low. Gerontological education and clinical and family experience could help reduce ageist attitudes toward older patients among health professionals.

In this study, we have evaluated whether 57 genome-wide association studies (GWAS)-identified common variants for type 2 diabetes (T2D) influence the risk of developing prostate cancer (PCa) in a population of 304 Caucasian PCa patients and 686 controls. The association of selected single nucleotide polymorphisms (SNPs) with the risk of PCa was validated through meta-analysis of our data with those from the UKBiobank and FinnGen cohorts, but also previously published genetic studies. We also evaluated whether T2D SNPs associated with PCa risk could influence host immune responses by analysing their correlation with absolute numbers of 91 blood-derived cell populations and circulating levels of 103 immunological proteins and 7 steroid hormones. We also investigated the correlation of the most interesting SNPs with cytokine levels after in vitro stimulation of whole blood, peripheral mononuclear cells (PBMCs), and monocyte-derived macrophages with LPS, PHA, Pam3Cys, and Staphylococcus Aureus. The meta-analysis of our data with those from six large cohorts confirmed that each copy of the FTO_rs9939609A, HNF1B_rs7501939T, HNF1B_rs757210T, HNF1B_rs4430796G, and JAZF1_rs10486567A alleles significantly decreased risk of developing PCa (p = 3.70 × 10⁻⁵, p = 9.39 × 10⁻⁵⁴, p = 5.04 × 10⁻⁵⁴, p = 1.19 × 10⁻⁷¹, and p = 1.66 × 10⁻¹⁸, respectively). Although it was not statistically significant after correction for multiple testing, we also found that the NOTCH2_rs10923931T and RBMS1_rs7593730 SNPs associated with the risk of developing PCa (p = 8.49 × 10⁻⁴ and 0.004). Interestingly, we found that the protective effect attributed to the HFN1B locus could be mediated by the SULT1A1 protein (p = 0.00030), an arylsulfotransferase that catalyzes the sulfate conjugation of many hormones, neurotransmitters, drugs, and xenobiotic compounds. In addition to these results, eQTL analysis revealed that the HNF1B_rs7501939, HNF1B_rs757210, HNF1B_rs4430796, NOTCH2_rs10923931, and RBMS1_rs7593730 SNPs influence the risk of PCa through the modulation of mRNA levels of their respective genes in whole blood and/or liver. These results confirm that functional TD2-related variants influence the risk of developing PCa, but also highlight the need of additional experiments to validate our functional results in a tumoral tissue context.

Background: Needlestick and sharp injuries (NSIs) are common in nurses. Although sleep-related factors such as shift work have been associated with occupational accidents, to date no reviews have synthesized all the current knowledge about shift work, sleep quality, and NSIs. Objective: We aimed to explore the relationship between shift work and sleep-related problems and NSIs in nurses. Method: A systematic literature review was conducted using PubMed, Embase, Scopus, CINAHL, and PsycINFO. All studies analyzing the association between NSIs alone or jointly with other occupational injuries and sleep problems or sleep-related problems were included. Sleep factors were coded into different groups: shift work, sleepiness, sleep quality, hypnotic use, and other personal and work-related factors. Findings: Twenty-four articles met the inclusion criteria. Shift work and poor sleep quality were generally associated with a higher risk of having NSIs, while evidence regarding sleepiness and hypnotic use was limited and inconclusive. Additionally, other factors such as nurses’ workload and unsafe practices (eg, needle recapping) were identified as relevant contributors to NSIs. Conclusion: Sleep-related variables and workload in nurses are associated with the occurrence of NSIs. Implementing reasonable shift systems and reducing workload should be priorities for institutions to protect the health of their workers. Safety education interventions and protocols should also be developed to decrease NSI incidence. PROSPERO ID: CRD42023434443

Caregivers experience high levels of emotional stress and must cope with several clinical and hospital-related environmental factors that seriously impact their night’s rest. The purpose of this study was to establish the prevalence of insomnia symptoms in a sample of caregivers of adult hospitalized patients and to examine the relationships between insomnia symptoms and patient and caregiver-associated factors. A total of 152 caregivers were enrolled from the two main hospitals in Granada, Spain. Sociodemographic, economic, and care-related data were collected. Insomnia symptoms, burden, anxiety and depression, social support, and resilience were assessed. Information on patients’ hospital admission, dependence, and neuropsychiatric symptoms was also obtained. Most caregivers were middle-aged women caring for their spouses. Self-reported insomnia prevalence was set at 45.4%. Comparison analyses between caregivers suffering from insomnia symptoms and non-insomniacs showed significantly higher burden, anxiety and depression and patients’ neuropsychiatric symptoms (p < 0.05) and lower resilience and social support in the former (p < 0.01). A regression analysis showed that anxiety (ORa = 1.15; p < 0.05) and higher caregiver education level (ORa = 5.50; p < 0.05) were factors significantly associated with insomnia symptoms. Patients’ neuropsychiatric symptoms showed a trend toward statistical significance as well (ORa = 1.09; p = 0.06). There is an acute need to address, prevent and treat insomnia problems in caregivers.

Background/Objectives: Shift work schedules and mental and physical workloads affect the sleep homeostasis of nurses, increasing the risk of occupational injuries. This study aimed to investigate the relationship between sleep disturbances caused by shift schedules and the occurrence of needlestick and sharps injuries (NSIs) among nurses, considering significant worker and occupational factors. Methods: A total of 348 nurses from five hospitals of Santiago de Guayaquil, Ecuador, participated in this cross-sectional survey. Data on sociodemographic and occupational characteristics, work schedules, and NSI incidents during the previous six months were collected. Emotional status, sleepiness, and insomnia symptoms were assessed using validated questionnaires. Additionally, nurses with night shifts (fixed or rotating) were specifically assessed to estimate the relationship between NSIs and insomnia or sleepiness symptoms related to these types of shift work using logistic regression analyses. Results: Nurses whose schedule included night shifts showed a higher prevalence of NSIs than those with other shifts (33.2% vs. 29.0%; p < 0.05). High levels of depression, anxiety, and stress were associated with having had an NSI in the previous six months. Logistic regression showed that female sex (adjusted odds ratio, aOR 4.62, 95% CI: 1.65–12.97), less experience in the current clinical setting (aOR 3.12, 95% CI: 1.46–6.57), the use of psychotropic drugs (aOR 4.46, 95% CI: 1.51–13.17), and insomnia and sleepiness symptoms due to shift work (aOR 2.61, 95% CI: 1.15–5.91) increased NSI risk among nurses with night shifts. Conclusions: There is an acute need to explore the complex relationship between sleep troubles linked to shift work schedules, occupational factors, and the risk of occupational injuries and propose preventive strategies for enhancing nurses’ sleep health and workplace safety.