Higher Risk Of Depression Research Articles

Abstract 4147638: Food Security, Depression, and the Association of Depression with Adherence to Cardiovascular Disease Risk Reduction Measures among Rural Caregivers of Patients with Chronic Diseases

Introduction: Caregivers are at high risk of cardiovascular disease (CVD) and depression compared to non-caregivers. Food security has been suggested to be a risk factor for depression. Depression may be connected to poor self-care. Studies exploring food security, depression and its relationship to adherence to CVD risk reduction measures among rural caregivers are lacking. Aims: To determine: 1) the association between food security and depression in rural caregivers, and 2) the relationship between depression and caregiver burden, and reported adherence to recommended CVD risk reduction measures in rural caregivers of patients with chronic diseases. Method: In this cross-sectional study, 277 rural caregivers (mean age 54 ± 14 years; 76% were female; and 70% were married) provided self-reported data on their sociodemographic factors, food insecurity (US Household Food Security Survey Module), caregiver burden (Zarit Burden Interview), depression (Patient Health Questionnaire-9), and adherence to recommended CVD risk reduction measures (Medical Outcomes Study Specific Adherence Scale). Hierarchical regression analysis was performed. Results: In this study, food insecurity and high depressive symptoms were prevalent in 23% and 25% of rural caregivers, respectively. Food insecurity was associated with higher depressive symptoms ( β = 0.21; p <.01), controlling for covariates. Caregivers who reported higher depressive symptoms had higher caregiver burden ( β = 0.49; p <.01) and poor adherence to recommended CVD risk reduction measures ( β = 0.18; p <.01) compared to those with low or no depressive symptoms, controlling for covariates. Conclusion: In rural caregivers, food insecurity was associated with higher depressive symptoms. Depressive symptoms were negatively associated with adherence to recommended CVD risk reduction behaviors. Greater attention should be given to food security and psychosocial factors to reduce CVD risk in this population.

Depression in geriatrics: a systematic review and meta-analysis of prevalence and risk factors in Egypt.

Depression is the most common psychiatric disorder in older adults, even though it is commonly misdiagnosed and undertreated, leading to exacerbations of preexisting medical conditions and even a higher mortality rate. In the present systematic review with meta-analysis, we quantify the magnitude of depression and its associated risk factors among the older adult population in Egypt. A thorough literature search was performed from 2010 up to October 2023. The results were presented as proportions or risk difference with a 95% confidence interval (CI) calculated using the random effects model. A sensitivity analysis was performed to examine the robustness of the results. Our study included 14 articles with 5857 older adults published between 2011 and 2023. All the included studies assessed depression in geriatrics using the Geriatric Depression Scale. Of the 14 studies, 5 were for community-dwelling older adults, 3 were for older adults attending primary health care (PHC) centers, 2 were for hospitalized older adults, 3 were for residing in geriatric homes, and one for residing in geriatric homes, hospitalized older adults, and community-dwelling older adults. The overall prevalence of depression among Egyptian geriatrics was 64.6%. The pooled prevalence of depression was 59.6%, 67.0%, 67.0%, and 62.0% for community-dwelling older adults, older adults people attending PHC, hospitalized older adults, and older adults residing in geriatric homes, respectively. Older adults with chronic illness, female sex, and low-income elders and elders who were not employed had a higher risk for depression with pooled risk differences of 34.9%, 17.8%, 23.8%, and 15.1% (P < 0.05), respectively. In contrast, there was no significant difference in risk for depression in the older adults residing in urban areas compared to rural areas, the older adults aged + 70 compared to those less than 70, individuals with low levels of education or who are illiterate compared with those with higher levels of education and the older adults who live alone compared with those living with family. More than half of the older adults in Egypt suffer from depressive symptoms. Chronic diseases, female sex, unemployment, and low-income inequality are the most significant factors contributing to depression among Egypt's older adults.

Hardiness personality and mental health of financially-struggling medical students in private universities in China: the intervening roles of coping styles and gender

BackgroundChinese adolescents are at higher risk of depression, especially the mental health problems of financially disadvantaged medical students, which are significantly higher than those in other age groups, which brings great challenges to the mental health workers in universities.Methods1,280 medical students with a family poverty background in China completed a questionnaire on hardiness personality, coping style and mental health. After descriptive statistics and Pearson correlation analysis between hardiness personality, coping style and mental health levels, we tested the mediation of coping style and the moderating effects of gender.ResultsHardiness personality significantly positively affected the financially-struggling medical student’s mental health level. Positive coping style had a significant positive impact on hardiness personality and mental health level, while negative coping style had a significant negative effect on mental health level. Positive coping and negative coping are the mediators between financially-struggling medical students’ hardy personalities and mental health levels. In medical students with a family poverty background, gender plays a regulatory role in coping style and mental health levels. In medical students with a family poverty background, gender plays a moderate role in coping style and mental health levels.ConclusionThis study adds some knowledge about the effects of hardiness personality on individual mental health. It makes new recommendations for improving the mental health status of vulnerable groups, while it can support future investigations by scholars and educators on how to improve the mental health of students under learning and financial-related stress.

Evaluation of depression at 6 and 12 months postpartum by examining depressive symptoms and self-harm ideation during the early postpartum period: Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study.

The aim of this study was to evaluate depression at 6 and 12 months postpartum, using the Edinburgh Postpartum Depression Scale (EPDS) total score and its subitem regarding self-harm ideation (SHI) at 1 month postpartum. A sample of 12,358 postpartum women answered the EPDS and questionaries at 1, 6, and 12 months postpartum longitudinally. For participants with postpartum depression (PPD; EPDS total score ≥9) and SHI (SHI sub-score ≥1) at 1 month postpartum, the risk of depression at 6 and 12 months postpartum (odds ratio [95% confidence interval] at 6 and 12 months postpartum: 20.03 [16.8-23.8] and 14.55 [12.3-17.2], respectively) was higher than for those with PPD but without SHI at 1 month postpartum (OR: 8.57 [7.36-10.0], and 6.24 [5.38-7.24], respectively). Additionally, SHI even without depressive symptoms at 1 month postpartum is also a risk for depression at 6 and 12 months postpartum. To support our longitudinal evaluation of depression at 6 and 12 months postpartum, these related factors were examined: traumatic events or relocations after the Great East Japan Earthquake, employment status, household income, personality traits, sleep status, psychological distress, and social networks. The result showed employment status, low household income and poor social networks were significantly associated with depression at 12 months postpartum but not at 6 months postpartum. This study showed a high risk of depression at 6 and 12 months postpartum for those who had depressive symptoms with SHI at 1 month postpartum. Our findings may contribute to the precise evaluation of depression at 6 and 12 months postpartum while considering sleep status, psychological distress and social network during pregnancy.

Developing an individual depression risk score based on traditional risk factors and routine biochemical markers

BackgroundEarly identification of individuals at high risk for depression is essential for effective implementation of interventions. This study utilized the UK Biobank database to construct an individual depression risk score using nomogram and explored the potential of traditional risk factors and routine biochemical markers for the auxiliary diagnosis of individual depression. MethodsA total of 369,407 participants were included in the study and divided into training and testing sets. LASSO regression was employed to select predictive variables for depression from 16 traditional risk factors and 28 routine biochemical markers. Following variable selection, two multivariable logistic regression models were constructed. Nomograms were then generated to visualize the relationships between these variables and depression risk, and to facilitate the calculation of individual depression risk scores. ResultsTwelve traditional risk factors and nine biochemical markers were selected for model building. Model 1, using only traditional risk factors, achieved the area under the curve (AUC) of 0.913 (95 % CI: 0.910–0.915), while Model 2, incorporating both traditional and routine biochemical markers, yielded an AUC of 0.914 (95 % CI: 0.912–0.917). Based on optimal cut-off values, Model 1 exhibited a sensitivity of 81.99 % and a specificity of 83.76 %, while Model 2 demonstrated a sensitivity of 81.54 % and a specificity of 84.31 %. LimitationsExternal validation is still needed to confirm the model's generalizability. ConclusionsWhile the depression risk scoring model built using traditional risk factors effectively identifies high-risk individuals for depression and demonstrates good clinical performance, incorporating routine biochemical markers did not significantly improve the model's performance.

School environment and adolescent health: Results from the HPTN 068 cohort

PurposeTo assess the relationship between school environment and health and behavior outcomes. MethodsData are from baseline and first follow-up of the HIV Prevention Trials Network (HPTN) 068 longitudinal trial established in 2012 of adolescent girls and young women in rural Mpumalanga Province, South Africa. Data from 2212 participants are included. We measured the association between four school environment domains: school resources, school safety, negative personal experiences, and school connectedness, and several health and behavior outcomes: depressive symptoms, low attendance, recent pregnancy, recent unprotected sex, transactional sex, and having an older romantic partner. We used a g-computation approach to estimate risk differences (RD) for the longitudinal relationship between the school environment (measured at the individual and school level) on individual health and behavior outcomes, controlling for baseline covariates. ResultsThe mean age of participants at baseline was 15.4; mean age at first follow-up was 16.6. Individual baseline perceptions of an unsafe school environment (RD = 3.1 %, 95 % CI: 1.3–5.2 %) and more frequent negative experiences (RD = 4.0 %, 95 % CI: 2.0–5.9 %) were associated with higher absolute risk of depressive symptoms at follow-up. There was an overall trend toward higher risk of pregnancy, unprotected sex, and having an older partner among those who reported fewer school resources, lack of school safety, more negative personal experiences, and lack of school connectedness. ConclusionsOur findings provide evidence of an overall trend toward higher risk of depression, pregnancy, unprotected sex, and having an older partner among those reporting a worse school environment across four school environment domains.

Determinants of quality of life and emotional well-being in a bariatric surgery seeking cohort of 1501 multi-ethnic Asian patients.

The relationship between ethnicity, obesity and health-related quality of life outcomes in a multi-ethnic population remains poorly understood. We aim to investigate the relationship between ethnicity, body mass index (BMI), obesity-associated diseases, as well as determinants of quality of life (QoL) in Southeast Asian patients with obesity. We aim to develop and validate a simple objective score to identify patients with obesity at high risk for major depression. Associations between ethnicity, obesity-associated diseases, BMI and determinants of QoL (Patient Health Questionnaire-9 and 36-Item Short Form Survey) were analysed using multivariate logistic regression in a prospective cohort of 1501 patients with obesity. Multivariate regression and receiver operating characteristics curves were used to develop and validate a novel scoring system to identify patients at risk of major depression. Patients of Chinese, Malay and Indian ethnicity had increased risk of hypertension (odds ratio [OR]: 1.51 [95% confidence interval [CI]: 1.19-1.92, p < .001]), BMI Class 4 (OR: 17.89 [95% CI: 9.53-33.60, p < .001]) and major depression (OR: 1.71 [95% CI: 1.23-2.39, p = .002]), respectively. Factors associated with major depression (gender, ethnicity, age, obstructive sleep apnoea, Physical Component Score and Mental Component Score scores) were used to create and validate a novel scoring system with an area under curve of 0.812 (95% CI: 0.787-0.837). A cutoff of 4 of 7 points was identified with a sensitivity of 70%, specificity of 81%, positive predictive of 53% and negative predictive value of 90%. The prevalence of metabolic complications from obesity significantly varies with ethnicity. We developed a novel and simple scoring tool combining objective demographic and patient-reported outcomes to screen and triage patients at risk of major depression.

Mental Illnesses and Stigma among Medical Undergraduates in India.

The current Medical Education system of India, with its enormous workload and academic demands tend to cause the medical students stress. There is evidence showing medical students at a higher risk of depression, anxiety and burnout compared to other Indian students. Despite, the huge reported numbers, the proportion of students and doctors who seek help for their problems is alarmingly low. One of the reasons provided for the same is stigma towards mental health and an apprehension regarding labels and treatment history on the careers of the students. Increased awareness and with a National Health Programme catered towards mental health, there has been a boost in the utilization and provision of mental health services but it rarely translates into better mental health facilities for the healthcare providers. The special set of challenges faced by a medical students are gradually being recognized and efforts are being made to address them. Curriculum guidelines, teaching methods, student welfare centres and helplines have been the areas of intervention. There should also be changes in approaches towards the students who face problems and providing a safe environment for them to discuss their problems, including encouraging peer support. Thus, a fine balance needs to be present between ensuring the protection of the mental health of a medical student and ensuring a quality medical education for them. Further exploration to address stigma and building empathy among the students and evaluation of the intervention methods devised to address the same becomes very necessary to ensure fruitful interventions. It is the need of the hour to help Indian Medical students overcome their struggles with mental health.

Age and gender differences in the association between depression and body mass index among Saudi adults

BackgroundBoth obesity and depression pose significant public health challenges. Understanding the age-gender differences in the BMI-depression associations is crucial, especially in the Saudi context, where cultural norms, lifestyle factors, and socio-economic conditions may significantly influence these associations. We aimed to explore and elucidate these associations in Saudi adults, considering age and gender as crucial factors.MethodsThe research utilized a cross-sectional web-based survey to examine the impact of age and gender on the associations between BMI and depression. The study included 4,683 Saudi adults aged 18–60 years. The questionnaire assessed socio-demographics, lifestyle factors, chronic illnesses, and self-reported height and weight to calculate BMI. Depression Inventory-II (BDI-II), a self-reported scale, was used to evaluate depression, categorizing participants into depression and non-depression groups. A snowball convenience sampling was utilized, with clear inclusion and exclusion criteria established to mitigate potential biases. Data analysis was stratified by age and gender, and binary logistic regression was utilized to determine the associations between depression and BMI, incorporating odds ratios (ORs) in both crude and adjusted forms, along with 95% confidence intervals (CIs).ResultsThe prevalence of depression was found to be 43.3%, while 21% of participants were classified as obese. Notably, individuals in the depression group were significantly older, predominantly female, and more likely to reside in the Western and Southern regions of Saudi Arabia. They had lower family income, were more frequently non-smokers, had a higher prevalence of chronic diseases, and had higher BMI. Moreover, obese individuals had significantly higher depression scores (p < 0.05). After adjusting for confounding factors, OR for depression was significantly higher among obese individuals (1.92 [1.56–3.36]). Stratified analysis by age and gender revealed higher ORs for depression among obese participants in older age and among women.ConclusionThis study highlights a significant association between obesity and increased prevalence of depression, with notable age and gender differences in this association. The findings suggest that older adults and women, particularly those with obesity, are at a higher risk for depression. These insights emphasize the importance of tailoring public health strategies and mental health interventions to address the specific needs of these vulnerable groups in Saudi Arabia.

Risk factors of the antenatal depression in a sample of Italian pregnant women: a preliminary study.

Antenatal depression is characterized by low mood, insomnia, disorganised behaviour, irritability, and agitation during the pregnancy. If underestimated, antenatal depression is untreated during the pregnancy. It is associated to higher levels of suicide, higher risk of depression after childbirth, preeclampsia, preterm birth, low birth weight, poor interactions between child and mother and severe obstetric outcomes. New data underlined the importance to prevent the risk of depression during the pregnancy. This study examines the predictive validity of potential risk factors, such as socio-demographic and psychological factors, in developing the antenatal depression. The sample was composed by Italian pregnant women (N = 247, mean age of 33.77, SD = 4.78 years). This sample completed the Edinburg Postnatal Depression Scale (EPDS), the Teate Depression Inventory (TDI) and questionnaires about demographic variables. To study associations among variables examined bivariate correlations were computed. To analyse the role of socio-demographic factors and the psychological dimension to predict the severity of the antenatal depression a logistic regression was performed. Results showed significantly positive correlations between the EPDS and the TDI, and no associations among the EPDS and all socio-demographic factors. Therefore, only the psychological factors were significant predictive risk factors of antenatal period. Finally, higher score of the depression measured via TDI predicted higher score of the EPDS. Our results had implications in clinical field. Indeed, the early diagnosis of depression during the pregnancy can help operators in the gynaecological field to prevent the depression in the post-partum period.

Risk of Suicide and Suicidality in Patients with Moderate to Severe Psoriasis: results from the British Association of Dermatologists Biologic and Immunomodulators Register (BADBIR).

Psoriasis is associated with poor mental health and reduced quality of life. Although the high risk for depression in patients with psoriasis is well-established, their suicidality risk is uncertain. Previous studies provide contrasting results and have not included patients with clinically-confirmed severe disease. Our aim was to determine risk of suicide among patients with moderate to severe psoriasis compared with the general population, and investigate if psychiatric comorbidity or history of suicidality increases future suicidality risk in psoriasis. We further estimated the incidence of suicidal and self-injurious behaviours in patients. Analysis was performed using the British Association of Dermatologists Biologics and Immunomodulators Register (BADBIR). As controls, general population mortality and suicide data were used. There were 9 suicides in BADBIR. The incidence rate of suicide was 12.5 per 100,000 person-years (95% CI 6.53, 24.11) in BADBIR versus 11.0 per 100,000 person-years (95% CI 10.7, 11.3) in the general population in England and Wales. Among patients, psychiatric comorbidity or past suicidality was associated with higher risk for suicidal ideation, suicide attempts and self-injurious behaviours. Suicide rates among patients with moderate to severe psoriasis were not significantly higher compared with the general population. Suicide is a rare event and our results are limited by the uncertainty in the estimate reliability. However, considering the high depression prevalence in psoriasis, our findings support the need for prompt assessment of patients for psychiatric comorbidities and suicidality history. Further research is required on suicidal behaviours and the role of psoriasis severity.

The prevalence, course, and risk factors of suicidal ideation and suicide attempts among students in vocational education

BackgroundWorldwide, suicide is one of the leading causes of death among adolescents and young adults. Given that suicide in this age group is common within vocational students, this study aims to provide insights into the prevalence, course, and risk factors of suicidal ideation (SI) and suicide attempts (SA) among students in vocational education over the past 10 years.MethodsThis study has a repeated cross-sectional design, utilizing data from 2013 to 2023 provided by the ‘Testjeleefstijl’ foundation in the Netherlands (‘Test Your Lifestyle’). In total, 101,182 students in vocational education completed a web-based standardized questionnaire. Univariate logistic regression was used to test the predictive value of risk factors separately (anxiety and depression, gender, age and school year) on SI and SA. In addition, a machine learning model (Berkelmans et al., 2023) ​was used for high-risk identification of combined risk factors (multivariate models).ResultsWithin vocational students, 12-month SI and SA prevalence increased from respectively 17.7% and 2.3% in schoolyear 2013–2014 to 23% and 3.2% in 2022–2023. Although female gender significantly predicted SI and SA in the univariate analyses, the multivariate models revealed that female gender decreased the likelihood of both SI (OR 0.9) and SA (OR 0.7). A high risk for anxiety and depression was the strongest predictor in the multivariate models for SI (OR 42.8) and SA (OR 19.0).ConclusionOver the past decade, the prevalence of SI and SA increased in students in vocational education, with the risk of anxiety and depression being the strongest contributing factor. While females had a higher prevalence of anxiety and depression, the results suggest these conditions tend to lead to SI and SA more quickly among male students. Early intervention in suicide prevention is crucial, highlighting the need to identify and address anxiety and depression. Vocational education schools have a critical role in this, emphasizing early screening and intervention, with specific attention to gender-specific factors.

Association of sugar consumption with risk of depression and anxiety: a systematic review and meta-analysis.

Sugar consumption has increased dramatically around the world, and at the same time, the prevalence of mental illnesses such as depression and anxiety continues to increase. While previous research has explored the impact of various dietary factors on mental health, the specific impact of dietary sugar consumption on the risk of depression and anxiety disorders remains elusive. This study aimed to comprehensively assess this relationship through a systematic review and meta-analysis. PubMed, Embase, Cochrane Library, Web of Science, China National Knowledge Network (CNKI), and WangFang were systematically searched for studies of the association between total dietary sugar intake and risk of depression and/or anxiety. The articles that meet the criteria are screened and included in the systematic review, and the data are extracted after assessing their quality. Stata 18.0 software was used for the meta-analysis. Forty studies with 1,212,107 participants were included in the analysis. Results showed that sugar intake increased the risk of depression by 21% (OR = 1.21, 95% CI: 1.14, 1.27), while the overall association between sugar intake and anxiety risk was not statistically significant (OR = 1.11, 95% CI: 0.93, 1.28). Despite high heterogeneity (I 2 = 99.7%), the results were statistically significant (p < 0.000). Subgroup analyses showed that the association between sugar consumption and depression risk remains consistent across different study designs (cross-sectional, cohort, and case-control studies) and different sample sizes (<5,000, 5,000-10,000, >10,000). Women have a higher risk of depression than men (OR = 1.19, 95% CI: 1.04, 1.35). Among the different exposure measures, the Food Frequency Questionnaire (FFQ) showed the most significant effect (OR = 1.32, 95% CI: 1.08, 1.67, I 2 = 99.7%, p < 0.000). The measuring tool of subgroup analysis showed that there was a significant correlation between sugar intake and risk of depression, PHQ-9 (OR = 1.29, 95% CI: 1.17, 1.42, I2 = 86.5%, p < 0.000), and CES-D (OR = 1.28, 95% CI: 1.14, 1.44, I 2 = 71.3%, p < 0.000). High-quality cross-sectional and cohort studies showed a significant association between sugar intake and depression risk, with most results being robust. While the overall analysis of sugar intake and anxiety risk was not significant, some subgroups approached significance, particularly in studies with a sample size of <5,000 (OR = 1.14, 95% CI: 0.89, 1.46) and studies using the FFQ questionnaire (OR = 1.31, 95% CI: 0.90, 1.89). Total dietary sugar consumption was significantly associated with increased risk of depression in the general population, whereas the association with risk of anxiety was not significant. Further high-quality studies are needed to verify these associations and ensure their reliability. This study highlights the impact of dietary sugar intake on mental health, identifies potentially high-risk groups through subgroup analysis, and provides new insights into the prevention of depression and anxiety. CRD42024540548.

Association between Adverse Childhood Experiences and Internalizing Symptoms in Adults at a Wellness Centre in India

Abstract Background: Adverse childhood experiences (ACE or childhood trauma) include very stressful and potentially traumatic events linked to a higher risk of mental health challenges and chronic conditions. India has an opportunity to study the association between ACE exposure and internalizing symptoms (depression and anxiety). To evaluate the association between exposure to ACE and internalizing symptoms (depression and anxiety) at a wellness centre in India. Methods and Material: This cross-sectional study studied a convenience sample of 909 individuals who self-assessed ACE exposure, depression (Major Depression Inventory: MDI), and anxiety levels (Generalized Anxiety Disorder: GAD-7). Logistic regression models evaluated the association between ACE and depression and anxiety levels. Results: The results show a strong association between ACE levels and depression as well as anxiety. Individuals with medium (1-3 ACEs), high (4-6 ACEs), and very high (&gt; =7 ACEs) exposure to childhood trauma are at 2–7 odds of having major depression and 1–3 odds of having anxiety. Moreover, both Gen Z and Gen Y are at a higher risk of depression and anxiety compared with Gen X. Conclusions: The research extends the findings from global research on ACE and mental health (depression, anxiety) in India, highlighting the strong association. Future work should expand the samples across the geography to enhance the insights.

Depressive Symptoms in Multiple Sclerosis: Links to Body Composition, Physical Activity, and Functional Ability.

BACKGROUND In patients with multiple sclerosis, depression and its associated symptoms are factors that reduce the health-related quality of life can affect the course of the disease and the patient's compliance with therapeutic recommendations, or may even increase the risk of suicide. This study aimed to determine the relationship between body composition, motor function of limbs, physical activity, and the occurrence of depressive symptoms in patients with multiple sclerosis. MATERIAL AND METHODS The study group included 110 patients - 84 women (76.4%) and 26 men (23.6%) - with multiple sclerosis and with or without depression. Disability status was assessed using the EDSS scale. Depressive symptoms were recognized based on the Beck Depression Inventory-II, while motor function was determined with the 9-Hole Peg Test and Timed 25-Foot Walk test. Accelerometers were used to evaluate physical activity of patients. Statistical analysis of collected data was performed using logistic regression. RESULTS Depressive symptoms (BDI-II score ≥14) were observed in 24.55% of the participants. MS patients with and without depression symptoms differed significantly in terms of fat mass, T25-FW, and 9-HPT-dominant hand. Multivariate regression analyses demonstrated that increased adiposity (OR=1.09; 95% CI=1.02-1.16; P=.008; and decreased motor ability of the upper limb, both dominant (OR=1.07; 95% CI=1.01-1.15; P=.043) and non-dominant one (OR=1.10 95% CI 1.01-1.18; P=.025) were associated with a higher risk of depression. The differences in physical activity and T25-FW between groups were statistically insignificant. CONCLUSIONS The severity of depression symptoms was related to higher body mass and decreased functional ability of the upper limbs in patients with MS. Thus, a detailed evaluation of the patient's upper-limb function should constitute an integral part of motor function assessment of patients with MS.

Evaluating the Levels of Mental Stress, Salivary Oxidative Stress, Body Mass Index, and Waist-to-Hip Ratio in University Students With and Without Polycystic Ovary Syndrome and Their Impact on Academic Performance.

In recent decades, there has been a significant increase in the number of diseases, with endocrine diseases, such as polycystic ovarian syndrome (PCOS), showing a notable rise. Women with PCOS have a higher risk of depression and stress which can affect the academic performance of the students. Hence, this study aims to compare salivary oxidative stress biomarkers, mental stress levels, body mass index (BMI), and waist-hip ratio (WHR) in students with and without PCOS, and examine the impact of these factors on academic performance. Female students (n=71) with self-reported PCOS (n=36) were compared to those without PCOS (n=35). Perceived and academic stress were assessed using validated scales, while BMI and WHR were measured through physical examination. Academic performance was self-reported and validated by follow-up interviews. Salivary MDA, a biomarker for oxidative stress, was measured using an enzyme-linked immunoassay (ELISA) test. The analysis revealed that female students with PCOS exhibited higher MDA (ng/ml) levels (0.71±0.13 vs. 0.41±0.14), perceived stress (28.42±4.75 vs. 22.0±6.62), BMI (26.74±6.28 vs. 23.87±4.81), and academic stress (91.03±31.52 vs. 66.86±30.98) compared to those without PCOS.In participants with PCOS, BMI showed a weak positive correlation with academic stress (r=0.312), while the Perceived Stress Score (PSS) and MDA levels showed a strong positive correlation with academic stress (r=0.709 and 0.850, respectively). Academic performance was weakly positively correlated with perceived stress score (r=0.384). When individual factors (BMI, perceived stress, MDA levels) were compared, positive significance was observed in both PCOS and non-PCOS groups. Findings suggested that female students diagnosed with PCOS experience elevated levels of perceived stress, salivary MDA, and BMI, potentially impacting their academic performance.

Self-Assessment of Self-Worth and Its Relationship with Depression Level: A Case Study of Female Students in Banyuwangi, Indonesia

Background: This study was motivated by the important role of self-esteem in mental health, where low self-esteem is often associated with a higher risk of depression, especially among female college students who are vulnerable to academic and social pressures. The prevalence of depression in Indonesia is significant, with the 15-24 age group recording a prevalence of 6.2%, where many female college students face challenges that can worsen their mental well-being. Therefore, this study aims to explore the relationship between self-esteem and depression levels in female university students in Banyuwangi, in order to provide a deeper understanding and support depression prevention interventions. Methods: This study applies a quantitative approach with a correlational design. The research sample consisted of 81 people, selected by accidental random sampling technique. The research instrument used the Rosenberg Self-Esteem Scale (SES) and Beck Depression Inventory (BDI) which were distributed through online Goggle form. Results: Data analysis showed that there was a significant relationship or association between the level of self-esteem and the level of depression in respondents. Pearson correlation analysis showed a correlation coefficient of -0.457 (p &lt;0.01), indicating a strong and negative relationship between the two variables. Conclusion: approximately 20.9% of the variation in the level of depression can be explained by variations in the level of self-esteem.

Predicted vitamin D levels and risk of depression in the SUN Project: A prospective cohort study

The current study aimed to investigate the association between predicted vitamin D status and depression in a prospective Spanish cohort of university graduates. The SUN Project is a dynamic cohort study designed to investigate multiple aspects of health and lifestyle. Participants were asked to complete a comprehensive questionnaire consisting of 556 items, that included a validated food-frequency questionnaire. Participants initially free of depression were classified as incident cases if they reported a medical diagnosis of depression during follow-up. Serum vitamin D levels were predicted by a previously validated equation. Vitamin D deficiency was defined as vitamin D levels below 20 ng/mL. Cox models were used to estimate adjusted hazard ratios (HR) and 95% confidence intervals (95% CI). We included 15,175 Spanish university graduates [mean (SD) age: 36.9 year (11.5)] followed-up for a median of 12.7 years. Among 192,976 person-years of follow-up, we identified 753 incident cases of depression. Participants with vitamin D deficiency had a 27% higher risk of depression as compared to those with vitamin D sufficiency (HR: 1.27, 95% CI: 1.09–1.48; p = 0.002) after adjusting for potential confounders. Furthermore, a significant effect modification by female sex was observed with higher depression risks associated with vitamin D deficiency in women than in men (p for interaction = 0.034). In educated middle-aged Spanish adults, we observed a direct association between vitamin D deficiency and the risk of depression, that was stronger among women.

Empirical insights into the interaction effects of groups at high risk of depression on online social platforms with NLP-based sentiment analysis

With the proliferation of digital technology and the increasing prevalence of social media, some users at high risk of depression have opted to seek solace, acceptance, and assistance in online communities. However, the extant research is deficient in terms of the segmentation of groups, particularly subcultural groups. By analyzing the “Super Hashtags” and “Tree Hole” groups on Sina Weibo from January to March 2023 using a crawler and the ERNIE 3.0-Base model for sentiment analysis, the study uncovers distinct sentiment profiles and interaction patterns, revealing significant correlations between interaction metrics and sentiment levels. The findings indicate that while there are no significant differences in sentiment levels between the two communities, the “Tree Hole” community exhibits greater sentiment variability. Moreover, the study identifies that interaction behaviors are closely linked to sentiment states, emphasizing the importance of understanding the complex dynamics between online interactions and mental well-being. These insights contribute to the development of more effective support mechanisms within online platforms for individuals at risk of depression.

Predicting Depression Among Chinese Patients with Narcolepsy Type 1: A Machine-Learning Approach.

Depression is a common psychiatric issue among patients with narcolepsy type 1 (NT1). Effective management requires accurate screening and prediction of depression in NT1 patients. This study aims to identify relevant factors for predicting depression in Chinese NT1 patients using machine learning (ML) approaches. A total of 203 drug-free NT1 patients (aged 5-61), diagnosed based on the ICSD-3 criteria, were consecutively recruited from the Sleep Medicine Center at Peking University People's Hospital between September 2019 and April 2023. Depression, daytime sleepiness, and impulsivity were assessed using the Center for Epidemiologic Studies Depression Scale for Children (CES-DC) or the Self-Rating Depression Scale (SDS), the Epworth Sleepiness Scale for adult or children and adolescents (ESS or ESS-CHAD), and the Barratt Impulse Scale (BIS-11). Demographic characteristics and objective sleep parameters were also analyzed. Three ML models-Logistic Regression (LR), Random Forest (RF), and Support Vector Machine (SVM)-were used to predict depression. Model performance was evaluated using receiver operating curve (AUC), accuracy, precision, recall, F1 score, and decision curve analysis (DCA). The LR model identified hallucinations (OR 2.21, 95% CI 1.01-4.90, p = 0.048) and motor impulsivity (OR 1.10, 95% CI 1.02-1.18, p = 0.015) as predictors of depression. Among the ML models, SVM showed the best performance with an AUC of 0.653, accuracy of 0.659, sensitivity of 0.727, and F1 score of 0.696, reflecting its effectiveness in integrating sleep-related and psychosocial factors. This study highlights the potential of ML models for predicting depression in NT1 patients. The SVM model shows promise in identifying patients at high risk of depression, offering a foundation for developing a data-driven, personalized decision-making tool. Further research should validate these findings in diverse populations and include additional psychological variables to enhance model accuracy.