Individual Stress Level Research Articles

Monocyte-lymphocyte ratio predicts cardiovascular diseases death in individuals with type 2 diabetes.

Previous studies have shown higher cardiovascular mortality risk with higher monocyte-lymphocyte ratio levels in general population. However, the levels of oxidative stress in individuals with type 2 diabetes are higher than those in the general population, which may affect the link between monocyte-to-lymphocyte ratio and cardiovascular disease deaths. And the association between the monocyte-to-lymphocyte ratio and mortality risk in people with type 2 diabetes still be unknown. This study aimed to investigate the prognostic significance of monocyte-to-lymphocyte ratio in type 2 diabetes. This analysis involved 2,954 individuals with type 2 diabetes from the National Health and Nutrition Examination Survey 1999-2010. The National Death Index records through December 31, 2019, was used to determine all-cause and cardiovascular mortality. The prognostic roles were determined using Cox regression models, restricted cubic spline analysis, and time-dependent receiver operating characteristic curve analysis. During an average follow-up period of 12.4 years, a total of 1,007 deaths occurred, while 252 were due to cardiovascular disease. An elevated monocyte-to-lymphocyte ratio level exhibited a significant dose-response relationship with an increased risk of all-cause mortality (1.34 [95% CI 1.12, 1.60] for all-cause mortality [Ptrend = 0.001]). The multivariable-adjusted HR was 1.81 (95% CI 1.25, 2.63) (Ptrend = 0.001) for cardiovascular mortality indicating a U-shaped relationship (Pnonlinear = 0.013). The results of this study indicate a U-shaped relationship between the monocyte-to-lymphocyte ratio and cardiovascular mortality in individuals with diabetes. Both very low and high monocyte-to-lymphocyte ratio monocyte-to-lymphocyte ratio values were found to be associated with increased cardiovascular mortality risk.

The Influence of the Ratio of Circumference to Cross-Sectional Area of Tensile Bars on the Fatigue Life of Additive Manufactured AISI 316L Steel

The static and dynamic loading capacities of components depend on the stress level to which the material is exposed. The fatigue behavior of materials manufactured using additive technology is accompanied by a pronounced scatter between the number of cycles at the same stress level, which is significantly greater than the scatter from a material with the same chemical composition, e.g., AISI 316L, but produced by rolling or forging. An important reason lies in the fact that fatigue cracks are initiated almost always below the material surface of the loaded specimen. Thus, in the article, assuming that a crack will always initiate below the surface, we analyzed the fatigue behavior of specimens with the same bearing cross section but with a different number of bearing rods. With a larger number of rods, the circumference around the supporting part of the rods was 1.73 times larger. Thus, experimental fatigue of specimens with different sizes showed that the dynamic loading capacity of components with a smaller number of bars is significantly greater and can be monitored by individual stress levels. Although there are no significant differences in loading capacity under static and low-cycle loading of materials manufactured with additive technologies, in high-cycle fatigue it has been shown that the ratio between the circumference and the loading cross section of tensile-loaded rods plays an important role in the lifetime. This finding is important for setting a strategy for manufacturing components with additive technologies. It shows that a better dynamic loading capacity can be obtained with a larger loading cross section.

Stress in the social environment: behavioural and social consequences of stress transmission in bird flocks.

The stress response helps individuals cope with challenges, yet how individual stress levels shape group-level processes and the behaviour of other group members has rarely been explored. In social groups, stress responses can be buffered by others or transmitted to members that have not even experienced the stressor first-hand. Stress transmission, in particular, can have profound consequences for the dynamics of social groups and the fitness of individuals therein. We experimentally induced chronic stress within replicated colonies of zebra finches and used fine-scale tracking to observe the consequences of stress-exposed colony members for the behaviour and reproduction of non-manipulated colony members. Non-manipulated individuals in colonies containing stress-exposed individuals exhibited reduced activity, and fewer-but more differentiated-social bonds. These effects were stronger in colonies with a greater proportion of stress-treated individuals, demonstrating that the impact of stressors can reach beyond directly exposed individuals by also affecting their group mates. We found no evidence that socially transmitted stress affected reproduction or long-term physiological measurement in unmanipulated birds, even though the stress-exposed demonstrators laid slightly fewer eggs and showed stressor-dependent changes in feather corticosterone. Social transmission of these effects, if occurring at all, might be more subtle.

Hormonal changes in northern white-cheeked gibbons (Nomascus leucogenys) after the death of a group member.

The small apes, gibbons and siamangs, are monogamous species with their social groups comprising of both parents and their offspring. Therefore, the loss of a member may elicit a stress response in the remaining members due to their strong bonds. Glucocorticoids (GCs) have been useful indicators of stress, but distinguishing between acute versus chronic stress may be limited when measuring these hormones alone. The adrenal hormone dehydroepiandrosterone-sulfate (DHEAS), a GC antagonist, has been implicated in the regulation of the stress response. Thus, the concomitant measurement of these hormones can help examine whether an event, such as the loss of a group member, elicited a stress response. In this brief report, we discuss the hormonal response of two zoo-housed northern white-cheeked gibbons (Nomascus leucogenys) (1 adolescent male and his mother) after the death of the adult male of the group. Baseline fecal samples were collected opportunistically from these two individuals 5months prior, and 3months following the death of their group member. A total of 25 samples were quantified for fecal GC metabolites (FGCMs) and DHEAS by enzyme immunoassay (EIA) to calculate the FGCMs:DHEAS ratio. Our results indicate an increase in FGCMs and FGCMs:DHEAS for the adolescent male, but not the adult female, following the death. Our findings suggest that the integration of FGCMs and DHEAS measurements can provide valuable information to interpret individual stress levels to the sudden change in the group's social structure.

Non-Pharmacological Psychotropic Measures for Surgery Under Local Anaesthesia

Purpose surgery under local anaesthesia can be a stressful experience for patients. The aim of this study was to determine the influence of a non-pharmacological psychotropic measures (NPTM) on the anxiety and stress levels of individuals undergoing ophthalmic surgery. This is the first study to use a bilateral haptic NPTM for this purpose. Methods In this clinical interventional case-control study, we assessed objective and subjective stress parameters immediately pre- and postoperatively. We randomly assigned patients to one of two groups: an intervention group with NPTM (n = 70) and a control group (n = 68). Results When comparing objective parameters (heart rate, blood pressure, and sweat secretion), there were no significant differences between the two groups pre- and postoperatively (p ≥ 0.05). Subjectively, 79% of patients in the intervention group perceived a positive effect from the NPTM (p < 0.01). Patients undergoing eye surgery for the first time described a positive effect significantly more often (p = 0.027). Conclusions Our study results show that subjectively perceived anxiety and stress during eye surgery is significantly improved by using a bimanual NPTM. The majority of the patients experienced a positive effect on their wellbeing, particularly those undergoing eye surgery for the first time, although there was also a positive effect for patients who had previously undergone eye surgery. While the haptic NPTM used in this study has a positive impact on patients’ perception of ophthalmic surgery, all patients undergoing surgery under local anaesthesia may benefit from this approach.

Biomarkers of Oxidative Stress and Their Clinical Relevance in Type 2 Diabetes Mellitus Patients: A Systematic Review.

Assessing oxidative stress is vital in managing type 2 diabetes mellitus (T2DM) and its complications. This systematic review aims to identify the most important oxidative stress markers in T2DM patients and predict associated complications. A literature search was conducted from 2013 to 2023, focusing on case-control, cohort, cross-sectional, and randomized control trials. The included studies had open access and scientific methodologies for assessing oxidative stress markers, while the excluded studies were not published in English or lacked primary objectives related to oxidative stress markers and T2DM or its complications. The quality of eligible studies was evaluated using the Newcastle-Ottawa Scale (NOS) for case-control, cohort, and cross-sectional studies and the Jadad Scale for RCTs. Eighteen studies were selected for the review and 25 potential markers like malondialdehyde (MDA), 11 thiobarbituric acid reactive substances (TBARS), 8-hydroxydeoxyguanosine (8-OHdG), glutathione (GSH), superoxide dismutase (SOD), and isoprostanes were found to be the most commonly used markers to assess oxidative stress in T2DM. These markers help to assess oxidative stress levels in T2DM individuals as well as correlate with diabetic complications. Therefore, assessment and understanding of the role of oxidative stress in T2DM pathophysiology are crucial for improving patient care and mitigating complications.

Demographic and occupational determinants of technical overload, techno-intrusion and techno-complexity

Main goal of this paper was to draw more attention to the pervasiveness of technostress in the consulting environment. As TS tends to be perceived differently in terms of what it entails, authors have focused, instead, on its relationship with such demographical variables as gender, age, work level and family status in the research. Study was conducted using a quantitative questionnaire. Sample consisted of 702 consulting employees (417 men and 275 women) aged 18-65. Data analysis was based on ANOVA and stepwise regression models. Results reveal that female participants and employees older than 35, experience significantly more Techno-Complexity compared to other groups. No significant effect of family status on Techno-Complexity was found. Senior-rank employees experience more Techno-Overload and Techno-Invasion, compared to co-workers in more junior positions. The authors’ findings point out to the necessity of workplace-stress prevention solutions focusing specifically on gender, age and the seniority level of an employee. The Results imply that such focus can prove essential in the prevention of burnout and considerable decrease in individual stress levels, loss of workplace focus and overall workplace productivity

Stacked artificial neural network to predict the mental illness during the COVID-19 pandemic.

The individual's mental health crisis and the COVID-19 pandemic lead to mental disorders. The transmission of the COVID-19 virus is associated with the levels of anxiety, stress, and depression in individuals, similar to other factors. Increases in mental illness cases and the prevalence of depression have peaked after the pandemic struck. The limited social intervention, reduced communication, peer support, and increased social isolation during the pandemic resulted in higher levels of depression, stress, and anxiety which leads to mental illness. Physiological distress is associated with the mental disorders, and its negative impact can be improved mainly by early detection and treatment. Early identification of mental illness is crucial for timely intervention to decelerate disorder severity and lessen individual health burdens. Laboratory tests for diagnosing mental illness depend on the self-reports of one's mental status, but it is labor intensive and time consuming. Traditional methods like linear or nonlinear regression cannot include many explanatory variables as they are prone to overfitting. The main challenge of the state-of-the-art models is the poor performance in detecting mental illnesses at early stages. Deep learning models can handle numerous variables. The current study focuses on demographic background, Kessler Psychological Distress, Happiness, and Health determinants of mental health during the pandemic to predict the mental health. This study's prediction can help rapid diagnosis and treatment and promote overall public mental health. Despite potential response bias, these proportions are exceptionally elevated, and it's plausible that certain individuals face an even higher level of risk. In the context of the COVID-19 pandemic, an investigation into mental health patients revealed a disproportionate representation of children and individuals with neurotic disorders among those articulating substantial or severe apprehensions.

Wireless-based portable device heart rate measurement as biomedical devices for stress detection

Stress can increase the heart rate, causing dangerous conditions that cause significant harm and even death. Therefore, managing stress well to control the heart rate is vital. Monitoring stress levels using biomedical devices is essential to prevent further damage to the individual. Regular monitoring facilitates the acquisition of individual stress levels through heart rate information. In this research, a MAX30100 sensor can produce Beats Per Minute (BPM) data, which show the stress experienced by a person during four daily activities (sitting, walking, running, and sleeping) and when watching a horror movie. This research underscores the potential of cost-effective wireless solutions to increase portability and facilitate real-time monitoring and remote surveillance. The researchers introduced an innovative methodology by reusing everyday consumer devices, initially intended for routine activities, to measure stress levels in a unique context—precisely in a controlled experiment involving a movie-watching scenario. The ultimate achievement of this research was creating a stationary heart rate monitoring device that is easy to access, easy to use, space-saving, and adept at effectively tracking stress indicators. BPM readings obtained from the MAX30100 sensor have scores similar to those obtained from the heart rate app. The researchers proposed the inclusion of other sensors, such as a photoplethysmograph, an electrocardiogram, and galvanic skin response, to provide a more holistic assessment of stress. Leveraging cloud technology for data storage enables long-term monitoring and in-depth analysis of stress patterns over time.

Rerouting of a major shipping lane through important harbour porpoise habitat caused no detectable change in annual occurrence or foraging patterns

Shipping is one of the largest industries globally, with well-known negative impacts on the marine environment. Despite the known negative short-term (minutes to hours) impact of shipping on individual animal behavioural responses, very little is understood about the long-term (months to years) impact on marine species presence and area use. This study took advantage of a planned rerouting of a major shipping lane leading into the Baltic Sea, to investigate the impact on the presence and foraging behaviour of a marine species known to be sensitive to underwater noise, the harbour porpoise (Phocoena phocoena). Passive acoustic monitoring data were collected from 15 stations over two years. Against predictions, no clear change occurred in monthly presence or foraging behaviour of the porpoises, despite the observed changes in noise and vessel traffic. However, long-term heightened noise levels may still impact communication, echolocation, or stress levels of individuals, and needs further investigation.

Investigation of the Relationship Between Exercise Addiction and Depression, Anxiety and Stress Levels of Individuals Doing Sports in Fitness Centers

Amaç: Bu çalışma, fitness merkezlerinde spor yapan bireylerin egzersiz bağımlılığı ile depresyon, anksiyete ve stres arasındaki ilişkiyi incelemeyi amaçlamaktadır.&#x0D; Yöntem: Araştırmaya, Siirt ilinde bulunan fitness merkezlerinde spor yapan toplam 301 gönüllü katılımcı (149 kadın, 152 erkek) dâhil edilmiştir. Katılımcıların temel özelliklerinin belirlenmesi amacıyla kişisel bilgi formu kullanılırken egzersiz bağımlılığı, depresyon, anksiyete ve stres düzeyinin belirlenmesi amacıyla ölçeklerden yararlanılmıştır. İki bağımsız grup arası karşılaştırmalar için T-testi, üç veya daha çok bağımsız grup arasında olan karşılaştırmalar için ise one-way ANOVA testi kullanılmıştır. Ayrıca araştırmada değişkenler arasındaki ilişkiyi bulmak amacıyla korelasyon analizi uygulanmıştır.&#x0D; Bulgular: Egzersiz bağımlılığı alt boyutları ile ilişki durumu, fiziksel görünümden memnun olma, haftalık egzersiz yapma saati ve yaş değişkenlerine göre egzersiz bağımlılığında istatistiksel olarak anlamlı bir farka rastlanmazken, eğitim durumu, spor geçmişi ve cinsiyet arasında kısmen farklılıklar görülmüştür. Depresyon, anskiyete ve stres ile cinsiyet, ilişki durumu, spor geçmişi, eğitim durumu, haftalık egzersiz yapma saati ve yaş arasında istatistiksel olarak anlamlı bir farka rastlanmazken, fiziksel görünümden memnun olma durumu ve meslek arasında anlamlı bir fark görülmüştür.&#x0D; Sonuç: Sonuç olarak bireysel ve sosyal ihtiyaçların ertelenmesi ve çatışma ve tolerans gelişimi ve tutku ile depresyon, anksiyete ve stres arasında düşük düzeyde anlamlı ilişki tespit edilmiştir.

Psychological distress among individuals with a suicide attempt or suicidal ideation and suicide attempts patterns: first two years of the pandemic.

The COVID-19 pandemic and related restrictions may have led to increased stress, particularly in people with mental health problems. Since stress factors play important role in the emergence of suicide attempts (SA) and suicidal ideation (SI), they may have been exacerbated by the pandemic, which could have led to an increased number of suicide attempts. Thus, we first investigated whether the pandemic affected personal stress experiences and appraisal of coping potential in individuals with and without SA and SI. In a second step, we analyzed the frequency and dynamics of SAs by patients admitted to a psychiatric university clinic over a period of four years. We examined stress experiences and appraisal of coping resources of inpatients recruited between March 2021 and February 2022 with SA (n=38), SI (n=27), and with mood disorder without SA or SI (n=45). In the second study, we investigated the time course of prospectively recorded patients with a suicide attempt (n=399) between January 1st 2018 and December 31st 2021 using interrupted time-series Poisson regression models. There was a significant main effect of group (F[2,107]=6.58, p=0.002) regarding psychological stress levels, which was significantly higher in the SA and SI groups than in the psychiatric control group. No significant differences were found in the appraisal of coping resources or in the frequency of SAs before and during pandemic. However, the pandemic had a significant impact on the seasonal pattern of SAs. The pandemic increased psychological stress levels in individuals with SA and SI, which may be related to SI and do not necessarily result in SA. The pandemic did not affect the overall frequency of SA between March 2020 and December 2021, but interfered with the seasonal pattern of SA occurrence. Effective intervention strategies during a pandemic should include programs to strengthen the psychological resilience of people who are susceptible to mental health problems.

Stress Detection System Using Machine Learning

Abstract: Stress is a pervasive aspect of modern life, posing significant health risks if left unmanaged. Early detection of stress is crucial for preventing adverse health outcomes and promoting well-being. This paper presents a novel approach to stress monitoring and management using machine learning (ML) techniques and wearable physiological sensors. By analyzing multimodal datasets, including electrocardiogram (ECG) signals and other physiological parameters, our proposed model aims to accurately detect stress levels in individuals. Leveraging low-cost wearable sensors and IoT technology, our system provides real-time feedback and alerts individuals to their stress levels, enabling proactive intervention to mitigate health risks. Through a comprehensive review of existing stress detection approaches and integration of ML algorithms, our study contributes to the development of more efficient and effective stress monitoring systems. This research holds promise for improving health outcomes and enhancing quality of life in individuals facing stress-related challenges.

The Comparison of Mood Factors in Individuals having Different Periodontal Status Using Depression Anxiety and Stress Scale-21 (DASS-21)

Objectives: The purpose of this study was the evaluation and comparison of depression, anxiety, and stress levels in individuals who are periodontally healthy and who have gingivitis and periodontitis. Material and Methods: This study involves 114 individuals in total, including 48 periodontally healthy patients, 48 patients who have gingivitis and 48 patients who have periodontitis. Clinical and radiological periodontal examinations of the individuals were conducted. Scores of gingival index (GI), plaque index (PI), pocket depth (PD), clinical attachment loss (CAL), and bleeding on probing (BOP) were recorded during intraoral examinations. Depression Anxiety and Stress Scale-21 (DASS-21) was used to determine levels of depression, anxiety, and stress. Results: Depression, anxiety, and stress levels were meaningfully and statistically lowest in individuals who are periodontally healthy (p

IMPACT OF EMERGENCY FOOD TEMPERATURE AND PRIVACY ON THE STRESS OF LIVING IN AN EVACUATION CENTER

This study investigated the impact of emergency food temperature variation andthe presence of privacyon stress with the aim of potentially reducing the stress of living in an evacuation center during large-scale disasters. Salivary amylase activity of the subjects was measured. Results showed no statistically significant impact on stress due to variations in the temperature of emergency food or privacy. However, the survey noted points for improvement, including experiment settings and relationships between subjects, which highlighted the need for future research and surveys. This study is expected to aid with initiatives that reduce stress in evacuation centershowever, more detailed condition settings are required in order to eliminate individual stress level differences.

Investigating Psychological Disparities Across Gamers: A Genre-Based Study

Objective: While video games have become a widespread form of entertainment, the exploration of their relationship with psychological factors remains relatively limited. The primary aim of this study was to examine potential disparities in levels of everyday stress, perceived stress, and positive mental health among individuals involved in three distinct video game genres: horror, competitive shooters, and sandbox. Although the study maintains an exploratory nature, we anticipated the emergence of significant differences between these genres. Method: A total of 54 participants were recruited, queried about their primarily favored video game genre, and then asked to complete an online survey consisting of three questionnaires, each corresponding to one of the dependent variables. Results: Three 1 × 3 between-subject analyses of variance indicated that levels of everyday and perceived stress were notably higher in the competitive shooter gamers, with sandbox gamers having the lowest levels. No significant differences were observed for levels of positive mental health. Conclusions: It is possible that competitive shooters either elevate everyday and perceived stress levels in individuals, or that already-stressed gamers are drawn to this genre. Finally, the absence of significant variations in levels of positive mental health across genres suggests that individuals may simply choose to play whichever game aligns with their personal sources of enjoyment.

Effects of Depression, Anxiety, and Stress on Disaster Preparedness: Evidence from the February 6 Türkiye Earthquakes

Natural disasters such as earthquakes, floods, tsunamis, hurricanes, and tornadoes pose a risk to the psychological well-being of individuals. Disaster preparedness is a crucial factor that plays a fundamental role in reducing loss and destruction in any disaster situation. It is of great importance to be prepared for these natural events that have the potential to harm mental health. The aims of the current study are to reveal whether the depression symptom, anxiety symptom, stress, and disaster preparedness levels of individuals differ according to demographic characteristics, to clarify the current status of depression symptom, anxiety symptom, stress and disaster preparedness levels in adults who have been directly or indirectly exposed to the last dual earthquake in Türkiye, and to identify that whether depression symptom, anxiety symptom and stress predict disaster preparedness. Data were collected from 418 individuals. The findings revealed that the socio-demographic characteristics of the participants showed significant differences in the depression symptom, anxiety symptom, and stress levels of the individuals. The main factors affecting disaster preparedness were gender, age, education level, marital status, and experiencing the February 6 earthquakes. Individuals directly exposed to dual earthquakes reported higher depression symptom, anxiety symptom and stress levels and lower disaster preparedness levels than indirectly exposed individuals. Post-earthquake depression symptoms and stress predicted individuals' ongoing disaster preparedness. In the light of these results, mental health professionals, psychologists, psychological counselors, sociologists, and authorities should focus on this vulnerable population and implement practices that improve mental health and increase preparedness for disasters.

An intelligent wearable embedded architecture for stress detection and psychological behavior monitoring using heart rate variability

This study quantifies individual stress levels through real-time analysis of wearable sensor data. An embedded setup utilizes artificial neural networks to analyze R-R intervals and Heart Rate Variability (HRV). Emotion recognition of happiness, sadness, surprise, fear, and anger is explored using seven normalized HRV features. Statistical analysis and classification with a neural network model are performed on approximately 20,700 segments,with participants within the age ranged from 23 to 40, mixed gender, and normal health status, along with other pertinent demographics included. Findings show stress observation’s potential for mental well-being and early detection of stress-related disorders. Three classification algorithms (LVQ, BPN, CART) are evaluated, comparing ECG signal correlation features with traditional ones. BPN achieves the highest emotional recognition accuracy, surpassing LVQ by 5.9% – 8.5% and CART by 2% – 6.5%. Maximum accuracy is 82.35% for LVQ and 97.77% for BPN, but does not exceed 95%. Using only 72 feature sets yields the highest accuracy, surpassing S1 by 17.9% – 20.5% and combined S1/S2 by 11% – 12.7%. ECG signal correlation features outperform traditional features, potentially increasing emotion recognition accuracy by 25%. This study contributes to stress quantification and emotion recognition, promoting mental well-being and early stress disorder detection. The proposed embedded setup and analysis framework offer real-time monitoring and assessment of stress levels, enhancing health and wellness.

Exploring stress levels and physical activity patterns: A comparative analysis of blended and conventional learning methods

Changes in learning methods cause a crucial decrease in physical education needs and time of involvement in physical activity, which can affect individual stress levels. The objective of this study was to find out the comparison of physical activity patterns and stress levels between blended versus conventional learning methods. This study used quasi-experimental with a posttest-only approach with a control group design. The total subjects were 160 sports students from Universitas Jambi, who were divided into two groups (Experiment and Control) with average age of 21.69 ± 1.33 years, weight of 55.74 ± 6.48 kg, height of 170.10 ± 5.51 cm, and BMI of 21.06 ± 2.77 kg/m2. The results showed that the blended learning group had a lower level of physical activity when compared to their respective conventional groups. Furthermore, the stress level in the blended learning group had a moderate stress while the conventional group had a low-stress. Thus, the research findings have answered the question that physical activity can affect an individual’s stress level, and conventional learning methods are still the best method compared to blended learning methods. This finding can be used as a reference, especially for educators, both lecturers and teachers in schools, to be able to take a spiritual approach and invite students to do activities they like, such as exercise and recreation, to trigger a sense of enthusiasm in students to continue to improve their fitness degree. Therefore, this will have an impact on mental health, which can affect student stress levels much lower.

Analysis of factors affecting fear and mental health awareness of coronavirus disease infection

Introduction: Coronavirus disease 2019 (COVID-19) is a global health challenge that persists in causing both health emergencies and mental health crises around the world. This study aimed to analyze the factors contributing to COVID-19 infection and their impact on mental health crises on Java Island. Methods: A cross-sectional study was conducted between June and July 2020 on Java Island, Indonesia, involving 1,218 respondents selected through convenience sampling. The independent variables included demographic, individual internal, and psychological factors, while the dependent variable was mental health crisis occurrence. Data were collected through demographic information, knowledge and attitude questionnaires, depression anxiety stress scores, the brief-COPE inventory, as well as surveys addressing encountered problems and mental health emergencies. The collected data underwent analysis using chi-square and multivariate logistic regression. Results: Significance was observed in the relationship between demographic, individual internal, and psychological factors, and their impact on mental health crises (p &lt; 0.05). Following adjustment with logistic regression, psychological factors exhibited a more pronounced relationship, with the highest association observed in stress levels (p = 0.000, 95% CI: 1.064-2.131). Conclusions: Individual stress levels emerged as the foremost contributing factor to mental health crises. Psychological elements, encompassing anxiety levels, stress, coping mechanisms, and encountered challenges, played substantial roles in disrupting psychological well-being and mental health.