Higher Risk Of Depression Research Articles

Polygenicity of Comorbid Depression in Multiple Sclerosis.

Depression is common in multiple sclerosis (MS); and is associated with faster disability progression. The etiology of comorbid depression in MS remains poorly understood. Identification of individuals with a high risk for depression, via polygenic scores (PGS), may facilitate earlier identification. Previous genetic studies of depression considered depression as a primary disorder, not a comorbidity, and thus findings may not generalize to MS. Body mass index (BMI) is a risk factor for both MS and depression and its association may highlight differences in depression in MS. To improve the understanding of comorbid depression in MS, we will investigate PGS in people with MS, with the hypothesis that higher depression PGS is associated with increased odds for comorbid depression in MS. Samples from three sources (Canada, UK Biobank, and the United States) were used. Individuals were grouped into cases (MS/comorbid depression) and compared to three control groups: MS/no depression, depression/no immune disease, and healthy persons. We employed three depression definitions: lifetime clinical diagnoses, self-reported diagnoses, and depressive symptoms. The PGS were tested in association with depression using regression. 106,682 individuals of European genetic ancestry were used: Canada (n=370; 213 with MS), UK Biobank (n=105,734; 1,390 MS), and USA (n=578 MS). Meta-analyses revealed individuals with MS and depression had a higher depression PGS compared to both MS without depression (odds ratio range per standard deviation [SD]: 1.29-1.38, P<0.05) and healthy controls (odds ratio range per SD: 1.49-1.53, P<0.025), regardless of the definition applied and when sex-stratified. The BMI PGS was associated with depressive symptoms (P≤.001). The depression PGS did not differ between depression occurring as a comorbid condition with MS or as the primary condition (odds ratio range per SD: 1.03-1.13, all P>0.05). Higher depression genetic burden was associated with ∼30-40% increased odds of depression in European genetic ancestry participants with MS compared to those without depression and was no different compared to those with depression and no comorbid immune disease. This study paves the way for further investigations into the possible use of PGS for assessing psychiatric disorder risk in MS and its application to non-European genetic ancestries.

Social support and depression during a global crisis

Depression rates have risen globally during the COVID-19 pandemic. While social support is a known protective factor, more research is needed to quantify the extent to which social support could reduce depression risk during a global crisis and identify which types of support are most helpful and for whom. We analysed longitudinal data from 69,066 participants in the All of Us Research Program who completed COVID-19 Participant Experience surveys between May and July 2020, including measures of perceived social support and depressive symptoms. Using mixed-effects logistic regression models, we tested associations between social support (overall and its subtypes) and elevated depressive symptoms, and assessed potential effect modifiers. Approximately 16% of participants experienced elevated depressive symptoms. Overall social support was associated with a 55% lower odds of depression. Emotional/informational support and positive social interactions showed strongest protective associations with depression, followed by tangible support. Combinations of support subtypes showed a dose–response gradient, with higher levels across all three subtypes linked to over a sixfold reduction in depression odds. Significant effect modifiers included sex, age, pre-pandemic mood disorder and pandemic-related financial stressors. Enhanced social support across multiple domains could benefit individuals with higher risks for depression, supporting a precision prevention approach. Using data from a large US population survey, Choi et al. investigated the nuanced associations between perceived social support and the risk for depression during the COVID-19 pandemic.

Burden of COVID-19 on Mental Health of Resident Doctors in Poland.

BACKGROUND The study aim was to assess the prevalence of depression, anxiety, stress, and insomnia among resident doctors in Poland during the COVID-19 pandemic. MATERIAL AND METHODS The online anonymous survey was conducted among Polish resident doctors attending obligatory specialization courses organized by the Center of Postgraduate Medical Education between 2020 and 2021. The psychological impact of COVID-19 was measured using the Depression, Anxiety, and Stress Scale (DASS-21). The sleep problems were assessed using the Insomnia Severity Index (ISI). RESULTS Among 767 resident doctors participating in the study there were substantial levels of depression (14.7% mild, 26.2% moderate, 10.8% severe, and 9.5% extremely severe), anxiety (9.0% mild, 20.6% moderate, 8.3% severe, and 11.5% extremely severe), and stress (16.4% mild, 20.9% moderate, 15.7% severe, and 5.7% extremely severe), as well as substantial incidence of insomnia (58.0%), (38.3% subthreshold, 17.9% clinically moderate, and 1.7% clinically severe). Female doctors, physicians working directly with COVID-19 patients, and those who had COVID-19 themselves were at higher risk of depression, stress, and anxiety. Sleep disorders were more prevalent among doctors in surgical specializations, as well as those working directly with COVID-19 patients. CONCLUSIONS The COVID-19 pandemic in Poland appears to have negatively affected doctors' mental health. High levels of depression, anxiety, stress, and insomnia indicate that systemic solutions are needed. A spectrum of interventions should be explored to mitigate further strain on the physicians' psychological health in the post-pandemic work environment. It is necessary to focus on groups at particular risk, such as women, front-line doctors, doctors in health crisis, and residents in selected fields of medicine.

Burnout Syndrome in Lung Transplant Physicians.

Objective: Burnout syndrome is common in physicians, but little is known about burnout in lung transplant physicians specifically. The purpose of this study was to explore burnout and its relationship to job factors and depression in lung transplant physicians.Design: A cross-sectional study that included lung transplant pulmonologists and surgeons was performed via electronic survey.Setting: The lung transplant physicians surveyed practiced worldwide.Methods: The survey incorporated questions about demographics and job characteristics as well as the Maslach Burnout Inventory and Patient Health Questionnaire-2. Burnout was defined by high emotional exhaustion or depersonalization.Participants: Ninety physicians worldwide completed the survey.Results: Of the 90 physicians who completed the entire survey, 44 (48.9%) had burnout with 38 (42.2%) having high emotional exhaustion, 15 (16.7%) having high depersonalization, and 9 (10.0%) with both. Of the respondents, 14 (15.6%) had high risk of depression, and of these, 13 also had high emotional exhaustion. There was a positive correlation between depression score and emotional exhaustion score (P=0.67, P<0.001). Depression was more common in surgeons compared with pulmonologists (35.7% versus 11.8%, P=0.02). There was a trend toward more burnout by emotional exhaustion in physicians with more versus less work experience (68.4% versus 31.6%, P=0.056).Conclusions: Emotional exhaustion is common in lung transplant physicians and is associated with depression and a negative impact on life.

Further development and feasibility randomised controlled trial of a digital programme for adolescent depression, MoodHwb: study protocol

IntroductionA digital programme, MoodHwb, was codesigned with young people experiencing or at high risk of depression, parents/carers and professionals, to provide support for young people with their mood and well-being....

The Nonlinear Relationship Between Body Mass Index (BMI) and Perceived Depression in the Chinese Population.

Existing studies on the association between BMI and depression report conflicting results with some demonstrating a positive relationship, while others a negative link or insignificant correlation. Very limited research on the nonlinear relationship between BMI and depression has yet to clarify the reliability and robustness of the potential nonlinearity and whether a more complex association exists. This paper aims to systematically investigate the nonlinear relationship between the two factors applying rigorous statistical methods, as well as explore the heterogeneity of their association. A large-scale nationally representative dataset, Chinese General Social Survey, is used to empirically analyze the nonlinear relationship between BMI and perceived depression. Various statistical tests are employed to check the robustness of the nonlinearity. Results indicate that there is a U-shaped relationship between BMI and perceived depression, with the turning point (25.718) very close to while slightly larger than the upper limit of the range of healthy weight (18.500 ≤ BMI < 25.000) defined by World Health Organization. Both very high and low BMIs are associated with increased risk for depressive disorders. Furthermore, perceived depression is higher at almost all BMI levels among individuals who are older, female, lower educated, unmarried, in rural areas, belonging to ethnic minorities, non-Communist Party of China members, as well as those with lower income and uncovered by social security. In addition, these subgroups have smaller inflection points and their self-rated depression is more sensitive to BMI. This paper confirms a significant U-shaped trend in the association between BMI and depression. Therefore, it is important to account for the variations in this relationship across different BMI categories when using BMI to predict depression risk. Besides, this study clarifies the management goals for achieving an appropriate BMI from a mental health perspective and identifies vulnerable subgroups at higher risk of depression.

EPH80 Predicting Anxiety and Depression in the First Year Following Breast Cancer Diagnosis Using a Large Administrative Claims Data

To develop models to identify patients at high risk of anxiety and depression in the first year following breast cancer diagnosis using a large administrative claims database.

The relationship between a plant-based diet and mental health: Evidence from a cross-sectional multicentric community trial (LIPOKAP study).

Dietary patterns emphasizing plant foods might be neuroprotective and exert health benefits on mental health. However, there is a paucity of evidence on the association between a plant-based dietary index and mental health measures. This study sought to examine the association between plant-based dietary indices, depression and anxiety in a large multicentric sample of Iranian adults. This cross-sectional study was performed in a sample of 2,033 participants. A validated food frequency questionnaire was used to evaluate dietary intakes of participants. Three versions of PDI including an overall PDI, a healthy PDI (hPDI), and an unhealthy PDI (uPDI) were created. The presence of anxiety and depression was examined via a validated Iranian version of the Hospital Anxiety and Depression Scale (HADS). PDI and hPDI were not associated to depression and anxiety after adjustment for potential covariates (age, sex, energy, marital status, physical activity level and smoking). However, in the crude model, the highest consumption of uPDI approximately doubled the risk of depression (OR= 2.07, 95% CI: 1.49, 2.87; P<0.0001) and increased the risk of anxiety by almost 50% (OR= 1.56, 95% CI: 1.14, 2.14; P= 0.001). Adjustment for potential confounders just slightly changed the associations (OR for depression in the fourth quartile= 1.96; 95% CI: 1.34, 2.85, and OR for anxiety in the fourth quartile= 1.53; 95% CI: 1.07, 2.19). An unhealthy plant-based dietary index is associated with a higher risk of depression and anxiety, while plant-based dietary index and healthy plant-based dietary index were not associated to depression and anxiety.

0877 SLEEP AND PARKINSON’S DISEASE: PREVALENCE IN AN OUTPATIENT MEXICAN CLINIC

Abstract Introduction Sleep disturbance in patients with Parkinson's disease (PD) is highly prevalent. PD is the second most common progressive neurodegenerative disease, affecting about 1% of people over 60 years. Little it's said about the sleep disorders in this disease, which are very frequent and frequently underdiagnosed. In Mexico, there are not a lot of studies on PD and sleep disorders in their population. University Hospital Dr. José E. González having the only Parkinsons' clinic in the northeast of Mexico for the population without medical coverage, has recognized the importance of unreported sleep disorders in their broad patient population. Methods Patients of the outpatient clinic whom their medical query wasn’t about sleeping disorder were screened using the following clinical tools: the Pittsburgh Sleep Quality Index (PSQI), the Patient Health Questionnaire (PHQ-9), the STOP-BANG Questionnaire, and the Epworth Scale. A full clinical history was also taken, focusing on sleep habits and risk factors that could contribute to sleep difficulties. Results A total of 65 patients (26 females, 39 males) that attended the outpatient Parkinson’s clinic were screened for sleep disorders. Fifty-nine patients (90.7%) were identified with at least 3 risk factors for obstructive sleep apnoea with the STOP-BANG questionnaire and were ordered polysomnography. Using the PSQI we identified 56 patients (86.1%) with low-quality sleep (defined as a score of 5 or higher). With the PHQ-9 we identified 41 patients (63%) with a high risk of depression, none of them were receiving treatment. And the Epworth Scale helped us identify 33 patients (50%) with a possible pathological excessive daytime sleepiness, none of them diagnosed. Conclusion PD is associated with multiple sleep disorders, which commonly impair quality of life. Routine inquiry about sleep problems from healthcare providers can increase its detection in a clinical setting outside of a sleep clinic and better management. Further research should focus on improving screening and diagnostic tools in the PD population. With this initiative, we present our experience and results incorporating routine screening for these disorders, future exploration toward this direction may hopefully shed light on developing effective, mechanisms-driven treatment options. Support (if any)

Depression among Bangladeshi diabetic patients: a cross-sectional, systematic review, and meta-analysis study

AimThis study aims to assess the prevalence and associated factors of depression among diabetic patients in a cross-sectional sample and perform a systematic review and meta-analysis of the extant studies to date.MethodsA face-to-face semi-structured interview of established diabetic patients was conducted in four districts of Bangladesh between May 24 to June 24, 2022, and the Patient Health Questionnaire (PHQ–2) was used to detect depression. PRISMA guidelines were followed to conduct a systematic review and meta-analysis, with Bangladeshi articles published until 3rd February 2023.ResultsThe prevalence of depression among 390 diabetic patients was 25.9%. Having secondary education and using both insulin and medication increased the likelihood of depression, whereas being a business professional and being physically active reduced the likelihood of depression. The systematic review and meta-analysis indicated that the pooled estimated prevalence of depression was 42% (95% CI 32–52%). Females had a 1.12-times higher risk of depression than males (OR = 1.12, 95% CI: 0.99 to 1.25, p < 0.001).ConclusionsTwo-fifths of diabetic patients were depressed, with females at higher risk. Since depression among diabetic patients increases adverse outcomes, improved awareness and screening methods should be implemented to detect and treat depression in diabetic patients.

Depression and associated factors in medical students in Acapulco during the COVID-19 pandemic: A cross-sectional study.

Depression is common in medical students and the Mexican state of Guerrero has the highest rates of depression in the country. Acapulco, the seat of the state medical school, is a tourist destination that experienced early high rates of COVID-19. The COVID-19 pandemic closed all schools in Mexico, obliging a shift from face-to-face to virtual education. In this new context, medical students faced challenges of online teaching including inadequate connectivity and access technologies. Prolonged isolation during the pandemic may have had additional mental health implications. Assess depression prevalence and its associated factors affecting medical students in Acapulco, Mexico during the COVID-19 pandemic. A cross-sectional survey of students of the Faculty of Medicine of the Universidad Autónoma de Guerrero, in November 2020. After informed consent, students completed a self-administered questionnaire collating socio-demographic, academic and clinical variables, major life events and changes in mood. The Beck inventory provided an assessment of depression. Bivariate and multivariate analyses relied on the Mantel-Haenszel procedure to identify factors associated with depression. We estimated the odds ratio (OR) and 95% confidence intervals. 33.8% (435/1288) of student questionnaires showed evidence of depression in the two weeks prior to the study, with 39.9% (326/817) of young women affected. Factors associated with depression included female sex (OR 1.95; 95%CI 1.48-2.60), age 18-20 years (OR 1.36; 95%CI 1.05-1.77), perceived academic performance (OR 2.97; 95%CI 2.16-4.08), perceived economic hardship (OR 2.18; 95%CI 1.57-3.02), and a family history of depression (OR 1.85; 95%CI 10.35-2.54). Covid-19 specific factors included a life event during the pandemic (OR 1.99; 95%CI 1.54-2.59), connectivity problems during virtual classes and difficulties accessing teaching materials (OR 1.75; 95%CI 1.33-2.30). The high risk of depression in medical students during the COVID-19 pandemic was associated with perceived academic performance and technical barriers to distance learning, in addition to known individual and family factors. This evidence may be useful for the improvement of programs on prevention and control of depression in university students.

Gender inequalities in violence victimization and depression in Brazil: results from the 2019 national health survey

BackgroundViolence is a worldwide public health challenge and has been linked to depression in many settings. Depression is higher in women and differential exposure to violence is a potential risk factor – especially in countries with high-levels of violence. This paper provides a comprehensive characterization of the association between violence victimization and depression in Brazil, focusing on sex/gender inequalities.MethodsWe used data from the 2019 wave of the National Health Survey (PNS) in Brazil to assess whether respondents had depression (using PHQ-9) and if they were victims of violence, differentiating by the type of violence, the frequency of victimization, and the primary aggressor. We used logit models to assess the association between victimization and the likelihood of having depression. We predicted probabilities of being depressed, considering the interaction between violence victimization and sex/gender, to analyze the differences between men and women.ResultsRates of violence victimization and depression were higher among women than among men. The odds of being depressed were 3.8 (95%CI: 3.5–4.2) times higher among victims of violence than among non-victims, and 2.3 (95%CI: 2.1–2.6) times higher among women than among men, adjusting for socioeconomic factors. For any given income level, racial/ethnic or age group, victims of violence who were women had the highest predicted probabilities of being depressed – e.g., 29.4% (95%CI: 26.1–32.8) for lower-income women, 28.9% (95%CI: 24.4–33.2) for black women, and 30.4% (95%CI: 25.4–35.4) for younger women that suffered violence. Over one in three women that suffered multiple types of violence, experienced violence more frequently, or where the aggressor was an intimate partner or another family member were predicted to have depression.ConclusionsBeing a victim of violence was strongly associated with higher risk of depression in Brazil, with women more likely to be both victims of violence and develop depression. Frequent, sexual, physical or psychological violence, and intimate partners or family member perpetrators were major risk factors for depression and should be a public health priority.

Characterising depression trajectories in young people at high familial risk of depression

BackgroundParental depression is a common and potent risk factor for depression in offspring. However, the developmental course of depression from childhood to early-adulthood has not been characterized in this high-risk group. MethodsUsing longitudinal data from 337 young people who had a parent with a history of recurrent major depressive disorder (MDD), we characterized trajectories of broadly defined depressive disorder using latent class growth analysis. We used clinical descriptions to further characterise trajectory classes. ResultsTwo trajectory classes were identified: childhood-emerging (25 %) and adulthood-emerging (75 %). The childhood-emerging class showed high rates of depressive disorder from age 12.5, which persisted through the study period. The adulthood-emerging class showed low rates of depressive disorder until age 26. Individual factors (IQ and ADHD symptoms) and parent depression severity (comorbidity, persistence and impairment) differentiated the classes but there were no differences in family history score or polygenic scores associated with psychiatric disorder. Clinical descriptions indicated functional impairment in both classes, but more severe symptomatology and impairment in the childhood-emerging class. LimitationsAttrition particularly affected participation in young adulthood. Factors associated with attrition were low family income, single parent household status and low parental education. ConclusionsThe developmental course of depressive disorder in children of depressed parents is variable. When followed up to adult life, most individuals exhibited some functional impairment. An earlier age-of-onset was associated with a more persistent and impairing course of depression. Access to effective prevention strategies is particularly warranted for at-risk young people showing early-onsetting and persistent depressive symptoms.

The impact of the use of continuous pulse oximetry monitoring to monitor patients at high risk of respiratory depression on nursing practice.

To describe the impact on nursing practice of using continuous pulse oximetry monitoring to monitor patients at high risk for respiratory depression after surgery. A convergent mixed method design. Thirty (30) hours of non-participant structured observation and explanatory interviews were conducted with 10 nurses from the surgery care unit and intensive care unit. We found that nursing practice to evaluate and monitor at-risk patients through continuous pulse oximetry monitoring is mainly linked to technical care. Nurses generally meet the frequency of bedside monitoring required by established protocols. During the structured non-participant observation periods, it was observed that 90% of the alarms were false (unsustained desaturations). This was confirmed by the nurses during the explanatory interviews. Noisy environments, high number of false alarms, poor communication between nurses and various operational failures might have a negative impact on nursing practice. Several challenges must be overcome for this technology to achieve the desired outcomes of continuous surveillance and rapid detection of respiratory depression episodes for post-surgical patients. No Patient or Public Contribution.

Using machine learning approach to predict depression and anxiety among patients with epilepsy in China: A cross-sectional study

BackgroundAnxiety and depression are the most prevalent comorbidities among epilepsy patients. The screen and diagnosis of anxiety and depression are quite important for the management of patients with epilepsy. In that case, the method for accurately predicting anxiety and depression needs to be further explored. MethodsA total of 480 patients with epilepsy (PWE) were enrolled in our study. Anxiety and Depressive symptoms were evaluated. Six machine learning models were used to predict anxiety and depression in patients with epilepsy. Receiver operating curve (ROC), decision curve analysis (DCA) and moDel Agnostic Language for Exploration and eXplanation (DALEX) package were used to evaluate the accuracy of machine learning models. ResultsFor anxiety, the area under the ROC curve was not significantly different between models. DCA revealed that random forest and multilayer perceptron has the largest net benefit within different probability threshold. DALEX revealed that random forest and multilayer perceptron were models with best performance and stigma had the highest feature importance. For depression, the results were much the same. ConclusionsMethods created in this study may offer much help identifying PWE with high risk of anxiety and depression. The decision support system may be valuable for the everyday management of PWE. Further study is needed to test the outcome of applying this system to clinical settings.

Association of serum alkaline phosphatase and depression in US adults: a population-based cross-sectional study.

Depression, a serious public health disorder, is increasingly prevalent worldwide. An association between alkaline phosphatase (ALP) and neurological disorders has been reported. However, data on ALP and depression risk are scarce, which warrants attention. We assessed the association between ALP and risk of depression in adults from the 2007-2014 National Health and Nutrition Examination Survey (NHANES). Depression was assessed using the Patient Health Questionnaire-9. Univariate and multivariate logistic regression were used to assess the association between ALP and risk of depression, and subgroup analyses were also performed. A total of 17,485 participants were included. The prevalence of depression was 9.3% (1,631/17,485) and ALP was significantly associated with the risk of depression when ALP was a categorical variable (quadratic or categorized by 79 U/L) in a multivariate logistic regression model after adjusting for confounding factors (≥79 U/L vs. <79 U/L, adjusted OR, 1.15; 95%CI, 1.02-1.29). Each 1-unit increase in ALP (log2) was associated with a 20% increase in depression prevalence (adjusted OR, 1.20; 95%CI, 1.06-1.36) when ALP was used as a continuous variable. Subgroup analysis showed that ALP was positively associated with the risk of depression with different characteristics. Our findings suggest that higher alkaline phosphatase levels, even within the normal range, are significantly associated with a higher risk of depression in US adults. Such findings require further prospective studies to provide more evidence.

Neural Circuit Markers of Familial Risk for Depression Among Healthy Youths in the Adolescent Brain Cognitive Development Study

BackgroundFamily history of depression is a robust predictor of early-onset depression, which may confer risk through alterations in neural circuits that have been implicated in reward and emotional processing. These alterations may be evident in youths who are at familial risk for depression but who do not currently have depression. However, the identification of robust and replicable findings has been hindered by few studies and small sample sizes. In the current study, we sought to identify functional connectivity (FC) patterns associated with familial risk for depression. MethodsParticipants included healthy (i.e., no lifetime psychiatric diagnoses) youths at high familial risk for depression (HR) (n = 754; at least one parent with a history of depression) and healthy youths at low familial risk for psychiatric problems (LR) (n = 1745; no parental history of psychopathology) who were 9 to 10 years of age and from the Adolescent Brain Cognitive Development (ABCD) Study sample. We conducted whole-brain seed-to-voxel analyses to examine group differences in resting-state FC with the amygdala, caudate, nucleus accumbens, and putamen. We hypothesized that HR youths would exhibit global amygdala hyperconnectivity and striatal hypoconnectivity patterns primarily driven by maternal risk. ResultsHR youths exhibited weaker caudate–angular gyrus FC than LR youths (α = 0.04, Cohen’s d = 0.17). HR youths with a history of maternal depression specifically exhibited weaker caudate–angular gyrus FC (α = 0.03, Cohen’s d = 0.19) as well as weaker caudate–dorsolateral prefrontal cortex FC (α = 0.04, Cohen’s d = 0.21) than LR youths. ConclusionsWeaker striatal connectivity may be related to heightened familial risk for depression, primarily driven by maternal history. Identifying brain-based markers of depression risk in youths can inform approaches to improving early detection, diagnosis, and treatment.

Trauma history predicts depression and posttraumatic stress symptoms better than a psychiatric diagnosis: Comparing wartime, routine time, and early COVID-19 in Israel.

Individuals with a psychiatric diagnosis and those with a history of trauma are at high risk for depression and posttraumatic stress symptoms (PTSS) following exposure to new traumatic events. Nevertheless, research is scarce on how having both a psychiatric diagnosis and a trauma history affect reactions to new traumatic events, and how different trauma types may affect individuals with a psychiatric diagnosis. We thus examined whether different stressful contexts (War and COVID-19) affected individuals with and without a psychiatric diagnosis differentially and whether results might be explained by prior trauma exposure. In the same cohort, we assessed depression and PTSS during wartime (2014), routine time (2016), and during the COVID-19 pandemic (2020) in a sample with (n=89) and without (n=104) a self-reported psychiatric diagnosis. This cohort was recruited during the 2014 Israel-Gaza War using social media, snowballing and outreach to mental health rehabilitation centres. We used a linear mixed modelling approach on data from the entire sample, as well as on the two study groups separately. We found that trauma history predicted PTSS and depression whereas a history of psychiatric diagnosis did not. Regarding trauma types, we found that individuals in the psychiatric diagnosis group relative to themselves had more symptoms during COVID-19 compared to war and routine time, while those without diagnosis had more PTSS and depression symptoms during wartime compared to routine time and COVID-19. In conclusion, a traumatic past may have an important influence on reactions to different types of traumatic events. Distinct traumatic events may affect individuals with or without a psychiatric diagnosis differentially.

Exploring the Sociodemographic and Behavioral Status of People Living with Hypercholesterolemia in Saudi Arabia: A Nation-Wide Cross-Sectional Study.

Hypercholesterolemia (HC) is a well-known risk factor for cardiovascular diseases, which are the leading cause of death worldwide. Many factors can contribute to HC, including advanced age, chronic diseases (such as diabetes and nephrotic syndrome), and the use of certain medications. Our goal was to compare the sociodemographic, behavioral, and other comorbid conditions of adult participants living with HC in Saudi Arabia to the general population. This is a secondary data analysis from the Sharik Health Indicators Surveillance System (SHISS). SHISS consists of cross-sectional phone interviews conducted in all administrative regions of Saudi Arabia on a quarterly basis. Participant recruitment was limited to Arabic-speaking Saudi residents who were ≥18 years old. Out of 20,492 potential participants contacted in 2021, 14,007 completed the interview. Of the total participants, 50.1% were male. The mean age of participants was 36.7 years, with 1673 (11.94%) having HC. A regression model showed that participants with HC had a higher likelihood of being older, living in Tabouk, Riyadh, or Asir regions, being overweight or obese, having diabetes, hypertension, genetic or heart diseases, or having a higher risk of depression. Gender, all types of smoking, physical activity, and education level were eliminated from the model. In this study, participants with HC were identified with some co-existing conditions that may affect the progression of the disease and the participants' quality of life. This information could assist care providers in identifying patients who are at higher risk, improve screening efficiency, and improve disease progression and quality of life.

Association between changes in having of cancer patients in the family and depression: A longitudinal panel study

BackgroundCancer diagnosis can cause considerable stress among patients and their families. Both may experience clinical depression and severe anxiety. Therefore, this study investigated the association between the occurrence of cancer patients in the family and the depression among family members. MethodsData from the Korean Longitudinal Study of Aging (2006–2020) were used. A total of 6251 participants who completed the short-form Center for Epidemiologic Studies Depression Scale (CESD-10-D) questionnaire were included. General estimating equations were used to assess the temporal effects of changes on depression in the presence of cancer patients in the family. ResultsHaving cancer patients in the family was associated with a high risk of depression among both men and women (men, Odds Ratio (OR):1.78, 95 % Confidence Intervals (CI) 1.13–2.79; women, OR:1.53, 95 % CI 1.06–2.22). Depressive symptoms were particularly high in women, especially when cancer symptoms were more severe than previous surveys (OR: 2.48, 95 % CI 1.18–5.20). LimitationsFirst, non-responders were excluded but this could be affected by underestimation bias. Second, depression was defined as the CESD-10-D score, and the biological risk factors of depression could not be identified because of survey-based database. Third, due to the retrospective design study, confirming the causal relationship clearly is difficult. Finally, residual scheming effects of unmeasured variables could not be eliminated. ConclusionOur findings support efforts to diagnose and manage depression in the families of cancer patients. Accordingly, healthcare services and supportive interventions to reduce the psychological factors of cancer patients' families are needed.