Burnout in healthcare professionals remains an ongoing concern. There are a number of variables associated with reactivity to stress in healthcare staff. This study wants to identify risk factors which predispose healthcare professionals to burnout. Material and Methods: The cross-sectional study included a group of 200 subjects, medical staff and auxiliary staff from the national health units, who gave their free consent to answer the questions regarding the level of perceived stress at work. The screening tool used was disseminated through the Google Forms platform, maintaining the anonymity of the participants. Results: Resident doctors (42%) responded predominantly, reporting the highest level of burnout, with nurses (26.5%) being the least affected (χ² = 36.73, p < 0.01). Less work experience is correlated with increased burnout (rho = 0.29, p < 0.01). Reactivity to stress was highly associated with workplace, with ambulance staff being the most vulnerable (χ² = 6.58, p < 0.05). Participants’ relationship status significantly influenced the burnout rate, the unmarried, with or without a partner, being more affected (χ² = 16.14, p < 0.01). There are no significant differences between male and female gender, regarding the average level of burnout (U = 1.47; p > 0.05), nor between living in a house or apartment (U = 4.66; p > 0.05). Positive associations were identified between the level of burnout and variables such as: management pressure, administrative work, routine, regretting decisions regarding patients, harassment at work and sacrifice of personal time. Conclusions: The results of this study identify age, profession, workplace seniority and relationship status as factors associated with burnout in medical personnel.

The increase in the incidence of cardiovascular diseases worldwide raises concerns about the urgent need to increase definite measures for the self-determination of different parameters, especially those defining cardiac function. Heart rate variability (HRV) is a non-invasive method used to evaluate autonomic nervous system modulation on the cardiac sinus node, thus describing the oscillations between consecutive electrocardiogram R-R intervals. These fluctuations are undetectable except when using specialized devices, with ECG Holter monitoring considered the gold standard. HRV is considered an independent biomarker for measuring cardiovascular risk and for screening the occurrence of both acute and chronic heart diseases. Also, it can be an important predictive factor of frailty or neurocognitive disorders, like anxiety and depression. An increased HRV is correlated with rest, exercise, and good recovery, while a decreased HRV is an effect of stress or illness. Until now, ECG Holter monitoring has been considered the gold standard for determining HRV, but the recent decade has led to an accelerated development of technology using numerous devices that were created specifically for the pre-hospital self-monitoring of health statuses. The new generation of devices is based on the use of photoplethysmography, which involves the determination of blood changes at the level of blood vessels. These devices provide additional information about heart rate (HR), blood pressure (BP), peripheral oxygen saturation (SpO²), step counting, physical activity, and sleep monitoring. The most common devices that have this technique are smartwatches (used on a large scale) and chest strap monitors. Therefore, the use of technology and the self-monitoring of heart rate and heart rate variability can be an important first step in screening cardiovascular pathology and reducing the pressure on medical services in a hospital. The use of telemedicine can be an alternative, especially among elderly patients who are associated with walking disorders, frailty, or neurocognitive disorders.

Aging involves a progressive decline in physiological functions, increasing vulnerability to disorders, functional decline, and disability. Emphasizing resilience and intrinsic capacity offers a proactive framework for promoting successful aging and quality of life. This narrative review selected significant articles published within the last five years on resilience, especially physical resilience, and intrinsic capacity, along with earlier relevant works. Articles were primarily searched in English using PubMed, Google Scholar, and Scopus, employing relevant terms with Boolean operators (“AND”, “OR”). Inclusion criteria included peer-reviewed conceptual, observational, and interventional studies on resilience and/or intrinsic capacity in adults over 60, published between 2020 and 2025, highlighting how the inclusion of geriatric evaluation improves health outcomes. Studies not focused on older adults, outside the date range, or non-English articles were excluded. Out of 145 references, 43 articles met the inclusion criteria. ResEvidence suggests that resilience (a dynamic response to stressors) and intrinsic capacity (baseline reserves across locomotion, vitality, cognition, sensory, and psychological domains) are interconnected, with resilience being associated with better health outcomes, a lower prevalence of chronic diseases, and greater mental health stability. Incorporating assessments of resilience and intrinsic capacity into clinical workflows could support targeted interventions; routine screening may guide personalized exercise and psychosocial plans to help prevent functional decline. Utilizing brief, validated tools (e.g., Short Physical Performance Battery, handgrip strength, Geriatric Depression Scale, brief cognitive tests, and resilience scales) can inform interventions such as physical activity, nutritional support, deprescribing, and psychosocial engagement, which may support healthier aging trajectories.

(1) Background: In the older population, depression often affects people with chronic medical illnesses, cognitive impairment, or disability. Frailty is another important issue affecting older adults, being difficult to clinically distinguish from frailty in advanced old age. Well-designed interventional studies and clinical strategies targeting both frailty and depression are rare or nonexistent. (2) Methods: We realized a retrospective study in which we included a total of 411 patients that were admitted to the Geriatric Clinic from “Dr. C. I. Parhon” Hospital from Iasi for a period of 13 months. The aim of our study was to investigate the relationship between depression and frailty in a geriatric population due to the fact that the quality of life is negatively influenced by both frailty and depression. (3) Results: The prevalence of the depressive symptoms screened by the GDS-15 was 66.7%, with women being more depressed than men. Furthermore, an obvious relationship between depression and the dependence degree in performing daily activities has been observed. In addition, the mean MMSE score decreased with an increasing degree of depression. (4) Conclusions: Our study demonstrates the association between frailty and depression, one of them being a risk factor in the development of the other. A poor acknowledgment of the problem and an underdiagnosis of these conditions are important public health concerns due to the high healthcare costs. Thus, an active primary prevention would be imperiously needed in order to diagnose frailty and depression at an early stage, increasing the quality of life of the elderly and also their successful aging.

In this paper, we present a new complex electronic system for facilitating communication with severely disabled patients and telemonitoring their physiological parameters. The proposed assistive system includes three subsystems (Patient, Server, and Caretaker) connected to each other via the Internet. The two-way communication function is based on keywords technology using a WEB application implemented at the server level, and the application is accessed remotely from the patient’s laptop/tablet PC. The patient’s needs can be detected by using different switch-type sensors that are adapted to the patient’s physical condition or by using eye-tracking interfaces. The telemonitoring function is based on a wearable wireless sensor network, organized around the Internet of Things concept, and the sensors acquire different physiological parameters of the patients according to their needs. The mobile Caretaker device is represented by a Smartphone, which uses an Android application for communicating with patients and performing real-time monitoring of their physiological parameters. The prototype of the proposed assistive system was tested in “Dr. C.I. Parhon” Clinical Hospital of Iaşi, Romania, on hospitalized patients from the Clinic of Geriatrics and Gerontology. The system contributes to an increase in the level of care and treatment for disabled patients, and this ultimately lowers costs in the healthcare system.