Background and Objectives: The objective of the study is to determine whether there is a difference in physical therapy outcomes in patients with cervical and/or lumbar pain who have insomnia compared to patients without insomnia during a two-week period of active treatment under the conditions of routine clinical practice. Materials and Methods: The study population consisted of two groups of subjects with chronic back pain, a group with insomnia (“case”) with a total of 38 subjects and a control group without insomnia (“control”) with a total of 41 subjects, who filled out a set of measurement questionnaires: the McGill Pain Questionnaire and its short form (SF-MPQ), the Insomnia Severity Index (ISI) and the European Quality of Life Questionnaire of Life (Euro Qol; EQ-5D). Determination of the biomarkers of structural damage to the nervous tissue, neurofilament polypeptide (NEF—neurofilament polypeptide), neuron-specific enolase (NSE—neuron-specific enolase) and protein S100B was performed by measuring their concentrations in the blood using the ELISA method (enzyme immunosorbent assay). Statistical analysis of the collected data included a descriptive analysis, hypothesis testing methods and univariable and multivariable regression models. Results: At the end of the treatment visits, the level of pain remained higher in some subjects of the experimental group, but the statistical significance of the baseline difference disappeared because of the higher relative treatment response in the controls. Measured with a visual analogue scale, the treatment improved the patients’ quality of life much more in experimental than control subjects, as is proven by the statistically significant difference for the percent change from baseline (~31% vs. ~14%). At baseline, all three neurotropic biomarkers had significantly higher serum values in the subjects of the experimental group than in the control patients, which suggested more damage to the neuronal structures. During the treatment course, their serum concentrations decreased, from 36% to 95%, but for S100B, unlike NES and NEF, there was no statistically significant difference between the study groups at the end of the treatment visits. Conclusions: The results of the study have immediate scientific and practical significance because they contribute to new knowledge about the place and role of insomnia in patients with cervical and/or lumbar pain who are treated with physical medicine methods in the conditions of routine clinical practice. The treatment of insomnia should be an indispensable part of therapeutic treatment for patients with back pain.

Our study focused at measuring stress, anxiety, and depression among the population of university students in Serbia. The sample included 493 students from The Faculty of Mechanical Engineering and the Higher Medical School, Kraljevo, University of Kragujevac, Central Serbia. The electronic survey was completed in approximately 10 minutes. Data collection was conducted during September and October, 2022. The research instruments included: General Questionnaire (used to collect demographic and personal data before and during the COVID-19 pandemic) and Depression Anxiety Stress Scales (DASS-21). All statistical calculations were performed using the standard commercial, standard software package SPSS, version 18.0. 12.8% of students reported severe and very severe symptoms of depression. In 21.7% of cases, severe and very severe symptoms of anxiety were reported. 20.3% of students reported sever and very severe symptoms of stress. Even though there are several studies on the mental health of Serbian college and university students during the COVID-19 pandemic, our article is unique in that it observes their mental health two years after the onset of the pandemic. This allows us to compare the findings with those obtained for the onset of the pandemic.

Insomnia is the most prevalent sleep disorder worldwide, affecting up to 30% of the population, and is frequently accompanied by cognitive complaints and measurable cognitive impairments. Chronic insomnia is characterized by persistent hyperarousal across physiological, cognitive, and neurobiological domains, which may compromise multiple cognitive systems. This review synthesizes current evidence on the impact of insomnia on major cognitive domains, including attention, language, memory and learning, executive functions, perceptual–motor skills, and social cognition. We critically evaluate methodological factors contributing to heterogeneous findings across studies, such as variability in diagnostic criteria, insomnia phenotypes, cognitive assessments, and sample characteristics. Additionally, we summarize emerging evidence on neuroanatomical and molecular correlates of insomnia-related cognitive impairment, including alterations in hippocampal and prefrontal brain structures, amyloid-β accumulation, dysregulation of brain-derived neurotrophic factor, neurotransmitter imbalance, neuroinflammation, and disrupted signaling pathways. Insights from preclinical studies show mechanistic links between sleep loss, synaptic dysfunction, oxidative stress, and memory decline. Despite substantial advances, the precise pathophysiological mechanisms underlying cognitive dysfunction in insomnia remain incompletely understood, suggesting that cognitive impairment arises from the convergence of multiple biological processes rather than a single causal pathway. A deeper mechanistic understanding is essential for developing targeted interventions for preventing cognitive decline in individuals with insomnia.

Social factors such as social support, integration, and belonging to the community are positive resources against adverse events and living conditions. This study at examining the influence of social support on depression among elderly people in Serbia. The research was done according to the type of cross-sectional study, a mass survey of a random, representative stratified two-stage sample of the population of Serbia in 2013, which was conducted by the Ministry of Health of the Republic of Serbia. The target population consisted of 3540 respondents aged 65 and over. The Patient Health Questionnaire-8 (PHQ-8) was used to evaluate the presence of depressive symptoms and the social support score from the questionnaire Oslo-3 scale of social support. The relations between depression symptoms and social support were examined with univariate logistic regression analyses. In the univariate regression model, social support stood out as a strong predictor of depression. People with weak social support are three and a half times more likely (OR = 3.45) to have depression compared to those with strong social support. Men with small social support were more likely to have depression (OR = 5.08) than women (OR = 3.41). These results indicate the urgency of addressing depression as a public health priority to reduce the burden and disability and improve the overall health of the elderly population.