Predictors Of Depression Research Articles

Measures of overnight oxygen saturation to characterize sleep apnea severity and predict postoperative respiratory depression

BackgroundSleep apnea syndrome, characterized by recurrent cessation (apnea) or reduction (hypopnea) of breathing during sleep, is a major risk factor for postoperative respiratory depression. Challenges in sleep apnea assessment have led to the proposal of alternative metrics derived from oxyhemoglobin saturation (SpO2), such as oxygen desaturation index (ODI) and percentage of cumulative sleep time spent with SpO2 below 90% (CT90), as predictors of postoperative respiratory depression. However, their performance has been limited with area under the curve of 0.60 for ODI and 0.59 for CT90. Our objective was to propose novel features from preoperative overnight SpO2 which are correlated with sleep apnea severity and predictive of postoperative respiratory depression.MethodsPreoperative SpO2 signals from 235 surgical patients were retrospectively analyzed to derive seven features to characterize the sleep apnea severity. The features included entropy and standard deviation of SpO2 signal; below average burden characterizing the area under the average SpO2; average, standard deviation, and entropy of desaturation burdens; and overall nocturnal desaturation burden. The association between the extracted features and sleep apnea severity was assessed using Pearson correlation analysis. Logistic regression was employed to evaluate the predictive performance of the features in identifying postoperative respiratory depression.ResultsOur findings indicated a similar performance of the proposed features to the conventional apnea–hypopnea index (AHI) for assessing sleep apnea severity, with average area under the curve ranging from 0.77 to 0.81. Notably, entropy and standard deviation of overnight SpO2 signal and below average burden showed comparable predictive capability to AHI but with minimal computational requirements and individuals’ burden, making them promising for screening purposes. Our sex-based analysis revealed that compared to entropy and standard deviation, below average burden exhibited higher sensitivity in detecting respiratory depression in women than men.ConclusionThis study underscores the potential of preoperative SpO2 features as alternative metrics to AHI in predicting postoperative respiratory.

Association between Life's simple 7 and post-stroke depression symptom from 2005-2016 NHANES survey: A cross-sectional study

BackgroundDepression symptoms are a common complication of stroke and heart disease and is a predictor of Post-stroke depression (PSD). However, the relationship between overall cardiovascular health indicators and PSD remains unclear. MethodsData were collected from stroke patients in the 2005–2016 National Health and Nutrition Examination Surveys (NHANES) survey. Depression was defined as a Patient Health Questionnaire-9 (PHQ-9) score ≥10. In addition, PSD was defined as the coexistence of stroke and depression. Life's Simple 7 (LS7) provides an assessment of cardiovascular health and consists of 7 items. The LS7 scores range from 0 to 14 and can also be categorized into poor (0–7), average (8–10), and ideal (11–14). Logistic regression models were used to investigate the relationship between LS7 and PSD. ResultsThe average age of participants was 64.2 years, with 45.1% and 34.3 % being male and non-Hispanic whites, respectively. After adjusting for age, sex, race, education, and income, the LS7 scores were found to be associated with reduced PSD odds (OR: 0.76, 95% CI: 0.68–0.85, P: <0.001), as well as the number of ideal LS7 metrics (OR: 0.69, 95% CI: 0.56–0.85, P: <0.001). Furthermore, non-poor LS7 was also associated with a lower risk of PSD compared to poor LS7 (OR: 0.48, 95% CI: 0.25–0.91, P: 0.01). This association was stable in stratification analyses. ConclusionCardiovascular health status assessed by LS7 was negatively associated with PSD. Future studies are required to verify these findings.

Exploring changing trends in depression and anxiety among adolescents from 2012 to 2019: Insights from My World repeated cross-sectional surveys.

Research has indicated a rise in the prevalence of depression and anxiety among adolescents over the past three decades. However, the factors underpinning increases in mental health difficulties remain poorly understood. This study examines psychological, social and environmental risk and protective factors that may explain changes in depression and anxiety among adolescents. Data were taken from two nationally representative My World Surveys of adolescents aged 12-19 years in 2012 (N = 5,490) and 2019 (N = 9,844). Survey data on depression and anxiety and a range of potential risk (e.g., alcohol use, psychotic symptoms) and protective factors (e.g., resilience, self-esteem) were assessed at both time points. Multiple group analyses assessed whether the predictive ability of risk/protective factors changed from wave 1 to wave 2. Results showed that the prevalence of depression and anxiety increased significantly between 2012 and 2019, particularly among females. Predictors accounted for between 37% and 61%of the variance in outcomes across waves. While some risk/protective factors were consistent predictors of depression and anxiety at both waves (e.g., bullying, discrimination, optimism), reporting female genderand having higher formal help-seeking tendencies more strongly predicted anxiety at wave 2, while lower self-esteem andlowerresilience(personalcompetence)strongly predicted both depression and anxiety at wave 2. Findings highlight the need to prioritize adolescent mental health service provision, especially in females. Self-esteem and resilience are potentially important targets for supporting adolescent mental health. Further research is required to understand the causal factors associated with increases in anxiety and depression.

The predictivity role of affective temperaments in mood alteration

BackgroundThe affective temperaments are defined as the fundamental predisposition from which normal affective states originate or as the constitutional core of personality. Recently, researchers have started considering the role of affective temperament on the clinical expression of affective disorders. The aim of the study is to learn more about the role of affective temperaments on irritability, anxiety and depression symptoms. Methods748 subjects belonging to Italian population were included. Data were collected through an online survey including IDAS and TEMPS-A questionnaire. Two correlation analysis were performed to assess sex differences in the affective patterns. A linear regression analysis was performed to assess how age, sex and temperamental dimensions could play a role as predictors of depression, anxiety and irritability symptoms. ResultsThe correlation analysis shows that "Cyclothymic," "Depressive," "Irritable", and "Anxious" temperaments, in both genders, positively correlate with Anxiety, Depression, and Irritability. Hyperthymic temperament, instead, negatively correlates with Depression in men and with both Anxiety and Depression in women. Linear regression show that Cyclothymic, depressive and anxious temperaments are significant predictors of anxiety symptoms while depressive and cyclothymic temperaments are predictors of depressive symptoms. The irritability was found to be a significant predictor of depression and anxiety disorders. The results of the linear regression analysis show that the Cyclothymic and Irritable temperaments significantly predicted “Irritability”. Finally, female sex was found to be a predictor of anxiety (β = 0.090, t = 2.906, p = <0.004) ConclusionThe present study confirms the role of affective temperaments as possible risk factors in psychopathological manifestations. Further studies would be necessary in order to investigate the mechanisms of these observed associations.

Burnout and Resilience as Predictors of Depression and Anxiety among HIV Naïve Patients in Nigeria

Burnout and Resilience as Predictors of Depression and Anxiety among HIV Naïve Patients in Nigeria

Mental Health, Sleep Quality, and Psychological Well-Being during the Holy Month of Ramadan.

Ramadan, a significant month for Muslims, presents unique challenges, particularly in the context of the USA. This study aimed to explore the relationship between mental health factors (depression, anxiety, and stress), sleep quality, and psychological well-being (subjective happiness and life satisfaction) during the month of Ramadan among participants and by gender. This study enlisted 163 participants (74% female, 25.7% male), with an average age of 36.8 years (SD = 13.1), mostly of Middle Eastern descent. Recruitment was conducted via flyers at local community mosques, social media, and outreach through local religious leaders. Data collection took place in the last three weeks of Ramadan, utilizing a Qualtrics survey that included the Depression Anxiety and Stress Scale (DASS-21), the Subjective Happiness Scale (SHS), Satisfaction with Life Scale (SWLS), and the Pittsburgh Sleep Quality Index (PSQI). Data were analyzed by means of descriptive statistics and multiple linear regression models using SPSS version 28. The study indicates that while mental health and psychological well-being remained within normal levels during Ramadan, sleep scores indicated significant sleep disturbance among participants. Multiple linear regression models revealed that subjective happiness, sleep duration, and the global PSQI score were significant predictors of stress for the total sample (F = 9.816, p = 0.001). Life satisfaction was the only significant predictor of anxiety (F = 7.258, p = 0.001), and it, alongside subjective happiness, significantly predicted depression (F = 12.317, p = 0.001). For men, subjective happiness alone predicted stress, while life satisfaction was a predictor for both anxiety and depression (F = 4.637, p = 0.001). In women, sleep duration and medication usage were linked to stress but not anxiety. Life satisfaction and subjective happiness were, however, predictors of depression (F = 6.380, p = 0.001). Fostering positive affective states can serve as a protective mechanism against the potential psychological distress associated with altered sleep patterns and lifestyle changes that accompany Ramadan. This study highlights that Ramadan is a tool for bolstering happiness and life satisfaction, thereby lowering levels of stress, anxiety, and depression. In non-Muslim majority contexts like the USA, there is a need for accommodations to safeguard against potential psychological distress.

Mental health and quality of life of individuals with epilepsy during the war in Ukraine.

To investigate the repercussions of the war in Ukraine on people with epilepsy (PWE), focusing on access to health care, seizure control, quality of life (QoL), psychological distress, anxiety, and depression; and to identify the key factors influencing these measures. Consecutive PWE, ≥18 years of age, presenting to one of seven health centers across Ukraine were invited to complete a self-administered survey in 2023. The survey gathered information on clinical and demographic aspects, geographic displacement, and access to care and medications. It also contained five valid questionnaires exploring psychological distress (Kessler-10), QoL with the EuroQOL-5D-5L (EQ-5D-5L), depression with the Neurological Disorders in Epilepsy scale(NDDIE), anxiety with the Hospital Anxiety and Depression Scalae-Anxiety (HADS-A), and epilepsy severity with the Global Assessment of the Severity of Epilepsy scale (GASE). Multivariate linear regression models assessed the relationship between measures of mental health and QoL and their potential predictors. Ethical approval was obtained from the Institute of Neurology, Psychiatry and Narcology of NAMS of Ukraine, Ukraine. Among 305 participants (mean age 38 years), 40% were female and 44% had to change residence because of the war. Seizures worsened during the war in 52% of those with active epilepsy and 42% of those with well-controlled epilepsy. Difficulties accessing health care and anti-seizure medications occurred in 25% and 34% of PWE, respectively, and was worse among those who were displaced. According to the mental health instruments, 46% suffered psychological distress, 62% experienced anxiety, 50% were depressed, and 59% rated their epilepsy as somewhat severe or worse. Statistically significant predictors of psychological distress, anxiety, and depression included female gender, more severe epilepsy, increased seizures during the war, and requiring mental health support. The war significantly disrupted access to health care and availability of medication in PWE, who suffer from significant anxiety, depression, and psychological distress. We identify high-risk factors that can guide resource allocation for prevention and treatment.

A nomogram and online calculator for predicting depression risk in obese Americans

BackgroundObese patients with depression face higher risks of adverse events. However, depression is often misdiagnosed and undertreated in this group. This study aimed to identify predictors of depression and create a nomogram and calculator to assess depression risk in obese Americans. MethodsThis cross-sectional study included 2674 patients from the National Health and Nutrition Examination Survey database (NHANES). These participants were randomly classified into the training and validation groups in a 7:3 ratio. Predictors were selected by LASSO and multivariate logistic regression analysis to create the nomogram. C-statistics, calibration plots, and decision curve analysis (DCA) were used to test the nomogram's discriminative ability, calibration quality, and clinical value. Internal validation with bootstrap resampling and external validation with the validation group were also conducted. ResultsThe training and validation group consists of 1871 and 803 participants. Depression was presented in 11.4 % (203/2674) of these participants. Seven predictors were found, including gender, hypertension, weekday sleep duration, poverty to income ratio, history of seeing mental health doctor, diabetes, and feeling sleepy during the day. The nomogram showed good discrimination, with the area under the receiver operating characteristic curve (AUC) of 0.817 (95 % CI: 0.786–0.848) (0.806 through internal validation and 0.772 through external validation) and good calibration (P = 0.536). The DCA further confirmed the nomogram's clinical usefulness. ConclusionThe nomogram and calculator effectively predict depression risk in obese Americans and can be used as auxiliary tools for early screening in primary care.

Trauma Exposure and Hopelessness as Predictors of Post-Traumatic Stress Disorder and Depression among War Veterans in SouthEast Nigeria

Trauma Exposure and Hopelessness as Predictors of Post-Traumatic Stress Disorder and Depression among War Veterans in SouthEast Nigeria

Predictive modelling of stress, anxiety and depression: A network analysis and machine learning study.

This study assessed predictors of stress, anxiety and depression during the COVID-19 pandemic using a large number of demographic, COVID-19 context and psychological variables. Data from 741 adults were drawn from the Boston College daily sleep and well-being survey. Baseline demographics, the long version of the daily surveys and the round one assessment of the survey were utilized for the present study. A Gaussian graphical model (GGM) was estimated as a feature selection technique on a subset of ordinal/continuous variables. An ensemble Random Forest (RF) machine learning algorithm was used for prediction. GGM was found to be an efficient feature selection method and supported the findings derived from the RF machine learning model. Psychological variables were significant predictors of stress, anxiety and depression, while demographic and COVID-19-related factors had minimal predictive value. The outcome variables were mutually predictive of each other, and negative affect and subjective sleep quality were the common predictors of these outcomes of stress, anxiety, and depression. The study identifies risk factors for adverse mental health outcomes during the pandemic and informs interventions to mitigate the impact on mental health.

Brainstem raphe hypoechogenicity is an independent predictor of post-stroke depression.

Post-stroke depression (PSD) is a common complication after stroke and has a substantial effect on the quality of life of patients. Nevertheless, reliable individual prediction of PSD is not possible. As depressive symptoms have been associated with brainstem raphe (BR) hypoechogenicity on transcranial sonography (TCS), we aimed to explore the association of BR hypoechogenicity and the occurrence of PSD. The Prognostic Markers of Post-Stroke Depression (PROMoSD) study is a prospective, observational, single-center, investigator-initiated study that included patients with acute ischemic stroke (AIS) to investigate the presence of BR hypoechogenicity by TCS early after symptom onset. The primary outcome was the presence of PSD assessed at the three-month follow-up investigation by a blinded psychiatrist and defined according to the fifth version of the Diagnostic and Statistical Manual of Mental Disorders (DSM-V criteria). From 105 included AIS patients, 99 patients completed the study. AIS patients with a hypoechogenic BR developed a PSD at three months more frequently compared to patients with normal echogenicity (48.0% versus 4.1%, P <0.001). After adjustment for confounders (sex, mRS at follow-up, previous depressive episode), a hypoechogenic BR remained independently associated with a substantial increase in the appearance of PSD (adjusted OR: 6.371, 95%-CI: 1.181-34.362). A hypoechogenic BR is a strong and independent predictor of PSD at three months after AIS. TCS could be a routine tool to assess PSD risk in clinical practice, thereby streamlining diagnostic and therapeutic algorithms.

The perception and association between depression and academic stress among female undergraduate nursing students: a cross-sectional study.

Academic demands and stressors put nursing students at increasing risk of depression. The aims of the study examine the perceived level of depression and academic stress and investigate the association between these variables among nursing students in Saudi Arabia. A cross-sectional design was used in this study. Data was collected using depression subscale from DASS-21 scale and the Academic Stress Inventory scale. A total of 237 students participated in the study. Nursing students perceived normal to mild levels of depression. Students perceived moderate levels of academic stress in all subscales, except for time management and test stress which were high. All academic stress subscales had a positive statistically significant correlation with depression. The regression model explains 49.0% of the variance in the depression scale and indicated that the main significant predictor of depression is studying in group stress, followed by self-inflected stress, study year, and sleep problem. The mean score of depression for first year students was significantly different than students in other study years. Nurse educators should facilitate group formation and teach students about time-management, problem-solving, negotiation, and coping strategies to deal with academic expectations and demanding situations. Understanding the causes, limiting the exposure to negative influences, and seeking support as needed are important. To enhance the quality of sleep, students should maintain a consistent sleep schedule, while avoiding stimulating activities before bedtime. Future research should focus on a longitudinal study and other variables such as quality of life, satisfaction with the quality of teaching, and support from others.

Endometroid type endometrial cancer after surgery: unravelling the interplay of sleep, fatigue, and psychological well-being.

Endometrioid carcinoma, originating in the endometrium glandular cells, is often detected early and treated by surgery. However, post-treatment life quality remains poorly studied, explicitly focusing on sleep quality, fatigue, and depression. In this cross-sectional, observational study, 147 female patients with endometrioid-type endometrial carcinoma were evaluated using standardised tools-Pittsburgh Sleep Quality Index (PSQI), Fatigue Assessment Scale (FAS), and Beck Depression Inventory (BDI). Patients were categorised based on sleep quality and depression levels. The study employed correlation and regression analyses to examine the relationships among these variables. No correlations were found between sociodemographic or lifestyle variables and sleep quality, fatigue, or depression (P > 0.05). A strong correlation was identified between PSQI and FAS (r = 0.623; P < 0.001), PSQI and BDI (r = 0.291; P < 0.001), and FAS and BDI (r = 0.413; P < 0.001). Fatigue and tumour grade were potential predictors of poor sleep. Sleep quality and depression predicted fatigue, while only fatigue was a predictor for depression. Radiotherapy and external radiation rates were notably higher in the mild depression group. Our study suggests an imperative for integrated multi-disciplinary approaches that focus on medical and psychological aspects of patient care to enhance long-term well-being and quality of life.

Mindfulness, Self-Efficacy, and Mental Health Among First-Year College Art and Design Students

ABSTRACT Mindfulness is a tool increasingly used to reduce stress and anxiety in the college student population. This study investigated the effects of mindfulness and self-efficacy on mental health outcomes (i.e. anxiety, depression, stress) among 186 first-year art and design students. Researchers examined whether state mindfulness and self-efficacy were predictive of measures of mental health, and if self-efficacy acted as a moderator between levels of mindfulness and mental health. Demographic variables were explored as covariates. Results showed that mindfulness was a statistically significant predictor of anxiety, stress, and depression, while controlling for potential covariates. Self-efficacy was not a significant predictor. Gender identity moderated the relationship between mindfulness and anxiety. Self-efficacy did not moderate the relationship between mindfulness and mental health outcomes. The current findings support the use of mindfulness practice among art and design students. Colleges are encouraged to provide offerings aimed at increasing mindfulness. Limitations and research directions are discussed.

The virility-fertility tradeoff: effects of fatherhood on (precarious) masculinity, sexual esteem, and sexual depression

ABSTRACT The stress, exhaustion, and negative impacts on sexual relationships associated with parenthood are well documented, but father’s perceptions of these changes are underexplored. Since sexuality and physicality are cornerstones of traditional/hegemonic masculine norms, changes in these domains resulting from fatherhood may produce concerns about masculinity maintenance and loss of masculine status. However, fatherhood provides clear evidence of a man’s sexual capability and virility – highly valued masculine traits. Therefore, fatherhood could theoretically make perceptions of masculinity more stable. The present study compared fathers and non-fathers on perceptions of masculinity and sexuality, and explored potential predictors of sexual esteem versus sexual depression during fatherhood. A sample of primarily heterosexual, White North American fathers and non-fathers participated in an online survey (N = 564) including measures of sexual esteem, sexual depression, and precarious manhood belief. Fathers were also asked to report their perceptions surrounding parenthood. Fathers endorsed precarious manhood beliefs less than non-fathers, and reported higher levels of both sexual esteem and sexual depression. Among fathers, a high personal sex drive predicted sexual esteem, while parental stress, low partner sex drive, and low self-perceived masculinity after parenthood predicted fathers’ sexual depression.

Burden and Predictors of Depression in Populations With Coronary Heart Disease.

Depression significantly impacts the quality of life and medical care in patients with coronary heart disease (CHD). This study assesses the burden of depression in adults aged 40 years and above with CHD and evaluates predictors of depression in this population. It has been reported that approximately 17-44% of persons with CHD have a major depression diagnosis and that nearly 27% of individuals undergoing coronary artery bypass graft operation suffer depression following the procedure. Methods: Data from the 2022 National Health Interview Survey was used. The sample was made up of adults 40 years and above with CHD. A chi-square analysis was used to identify differences between those who were depressed and those who were not. Logistic and ordinal regression analyses were used to identify predictors of depression and severe depression, respectively. The proportion of adults 40 years and above with CHD who reported having depression was 863/1700 (50.5%). Among those who were ≥65, the proportion of those who reported depression and those who did not were similar (49.3% vs. 50.7%). Most women reported having depression (57.4% vs. 42.6%), while fewer men reported having depression (46.3% vs. 53.7%). The positive predictors of depression include being insured (odds ratio (OR) 1.26 (1.05-1.53), p = 0.016), college degree (OR 1.09 (1.01-1.18), p = 0.040), diabetes mellitus (OR 1.28 (1.15-1.42), p < 0.001), and hypertension (OR 1.34 (1.24-1.44), p < 0.001). The negative predictors of being depressed were age ≥65 (OR 0.74 (0.69-0.80), p < 0.001), male sex (OR 0.54 (0.50-0.58), p < 0.001), and ratio of family income (RFI) ≥1 (OR 0.68 (0.61-0.77), p < 0.001). The positive predictors of severe depression include diabetes mellitus (OR 1.38 (1.06-1.81), p = 0.019) and current cigarette use (OR 2.10 (1.44-3.07), p < 0.001). A significant proportion of adults 40 years and above with CHD have depression, and socioeconomic and cardiovascular risk factors are associated with a high likelihood of depression. Cardiovascular risk factors alone predict the likelihood of severe depression. Interventions to address depression in CHD should target specifically these high-risk individuals.

Prevalence and predictors of depression, anxiety, and stress among refugees in Egypt

BackgroundMany Refugees show multiple distressing psychological and mental health problems associated with stressful and adverse conditions in host countries. Even though Egypt is one of the top five destination countries hosting refugees and asylum-seekers in the MENA region, there is a lack of studies investigating mental health problems among refugees in Egypt. This study aimed to assess the prevalence and predictors of depression, anxiety, and stress symptoms among refugees living in Egypt.MethodsA total of 398 refugees aged 18 and above were interviewed from migrants’/refugees' community centers in Giza, Alexandria, Dakahlia, and Damietta governorates. A predesigned structured interview questionnaire was used to collect socio-demographic and migration-related variables. The Arabic Version of Depression Anxiety Stress Scales (DASS-21) was used to assess the presence and severity of the three negative emotional states.ResultsNearly two-thirds of the participants were Syrian (66.4%). The majority resided in Alexandria and Giza governorates (75.9%), were females (73.4%), and were married (71.1%). The most reported migration difficulty was housing (41.5%). Anxiety symptoms were reported among 63.3% (95% CI: 58.59%- 68.05%) of sampled refugees, followed by depression (61.3%, 95% CI: 56.52%-66.10%), and stress symptoms (51.5%, 95% CI: 46.56%-56.36%). Results of regression analysis showed that; female gender predicted anxiety (aOR 2.419, 95% CI: 1.485–3.941, p < 0.001) and stress (aOR 2.053, 95% CI: 1.197–3.519, p = 0.009), while younger age groups (18–25 yr. and 26–50 yr.) compared to the older age group (51 yr. and older) predicted depression (aOR 4.529, 95% CI: 1.696–12.097, p = 0.003 and aOR 2.177, 95% CI: 1.270- 3.733, p = 0.005, respectively) and stress (aOR 4.334, 95% CI: 1.556–12.074, p = 0.005 and aOR 1.808, 95% CI: 1.023–3.193, p = 0.041, respectively). Residence in Alexandria, housing, and employment difficulties predicted anxiety (aOR 2.354, 95% CI: 1.420–3.902, p < 0.001, aOR 1.726, 95% CI: 1.073–2.778, p = 0.025, and aOR 3.044, 95% CI: 1.248–7.425, p = 0.014, respectively), depression (aOR 1.949, 95% CI: 1.163–3.266, p = 0.011, aOR 1.666, 95% CI: 1.036–2.681, p = 0.035, and aOR 3.216, 95% CI: 1.321–7.828, p = 0.010, respectively), and stress (aOR 2.450, 95% CI: 1.431–4.195, p < 0.001, aOR 1.911, 95% CI: 1.187–3.078, p = 0.008, and aOR 4.482, 95% CI: 1.867–10.760, p < 0.001, respectively).ConclusionMental health problems are prevalent among the refugee population in Egypt that are compounded by the difficult post-migration socio-economic situation. Multisectoral attention towards refugees’ mental health is urgently needed.

Prevalence and Predictors of Anxiety and Depression One Month After First-Ever Ischemic Stroke: A Prospective Study

Prevalence and Predictors of Anxiety and Depression One Month After First-Ever Ischemic Stroke: A Prospective Study

Depressive symptoms and coping patterns in a sample of Egyptian mothers of ADHD children

BackgroundAttention-deficit/hyperactivity disorder (ADHD) is considered to be one of the most common neurodevelopmental conditions found in children. The global prevalence in the age group 6–17 years falls between 2 and 18%. Studies have found that mothers of ADHD children are more prone to experience depression, anxiety, social isolation, stress, and self-blame.Aims and objectivesTo assess the prevalence of depression and its severity among mothers with children found to have ADHD compared to mothers of the control group, we also investigate the coping mechanisms employed by mothers with ADHD children and identify any potential correlation between coping strategies utilized by mothers in the case group and the severity of depression.Patients and methodsIn this cross-sectional study, we recruited 100 participants from the outpatient child psychiatry clinic at Ma’amoura Psychiatric Hospital in Alexandria, Egypt. Two participant groups were assembled: Group I (case) consisted of 50 mothers whose children had ADHD, and Group II (control) consisted of 50 mothers whose children did not have ADHD. Both groups underwent the General Health Questionnaire (GHQ-28), Beck Depression Inventory (BDI-II), and Coping Orientation to Problems Experienced (COPE) inventory.ResultsA significant relationship was observed between the Beck Score and hyperactive and combined ADHD types; however, no significant correlation was found between the Beck Score and the inattentive ADHD type. Regarding the coping styles with stress, the current study’s results found that in (case group) turning to religion had the highest sub-scale mean, followed by seeking social support and emotional support, while the lowest sub-scale score mean was humor, followed by denial. By employing univariate logistic regression analysis to identify depression predictors in group I, the results showed that the increase in the score of less useful coping by 1 was a probable factor to increase the possibility of depression by OR = 1.438 (1.186–1.743). Combined and hyperactive ADHD types were found to increase the risk of depression by OR 6.706 (1.309–34.353).ConclusionDepressive complaints were more prevalent among mothers of children with ADHD compared to the control group. We found a statistically important relationship between Beck Depression Scores (depressive symptom severity) in mothers with ADHD children and having hyperactive or combined ADHD types in their children. We also found a statistically significant positive correlation between the severity of depression and some coping styles as turning to religion and seeking social support.

Personalized risk assessment of new onset depression in long-term cancer survivors.

e13798 Background: Advances in cancer detection and treatment have improved long-term survival. It is critical to understand the impact that experiencing cancer has on psychological health, given that the prevalence of depression in long-term survivors is higher than in the general population. Our aim was to develop a risk prediction model to identify long-term (5-year) survivors at high risk of developing depression. Methods: We conducted a retrospective study of the SEER-Medicare database beneficiaries with localized breast, prostate, colon, or rectal cancer diagnosed between 2003-2011 who had survived at least 5 years since diagnosis. We required Part D coverage in the breast cohort to account for adjuvant endocrine therapy. Our primary outcome was the cumulative incidence of depression between 5-10 years after diagnosis, which was defined using a claims-based algorithm as a single or recurrent episode of major depressive disorder, recent episode of bipolar I disorder, or dysthymic disorder. For each cancer site, we constructed restricted mean survival time models, a non-parametric method that yields time ratios; a time ratio (TR) &lt; 1 indicates shorter mean time to event (TTE). Results: Our cohort consisted of 80,579 survivors. The cumulative incidence of depression occurring between 5-10 years after diagnosis was 16.9% for breast cancer, 7.8% for prostate cancer, 10.6% for colon cancer, and 8.6% for rectal cancer. The cumulative incidence of new onset depression increased over time and was 7.2% vs. 13.9% among survivors diagnosed before and after 2008, respectively. Compared with patients age &lt; 70 at diagnosis, patients aged 75 and older exhibited 5-10% shorter mean TTE across breast, prostate, and colon cancer. There was no association between Non-Hispanic (NH) Black race or Hispanic ethnicity and depression compared with NH White survivors. Asian survivors were at lower risk of developing depression. Disease specific factors, including stage, grade, hormone receptor status (breast), or PSA (prostate), did not predict depression in long-term survivors. Receipt of treatment in the 3-5 years after initial diagnosis was associated with moderately greater risk for all survivors, with the shortest mean TTE among breast cancer survivors (TR=0.91, 95% CI=0.85-0.97). Across all cohorts, the greatest predictor of depression was a prior history of depression. The incidence of depression in long-term survivors was 42% in patients with a prior history of depression vs. 8% among survivors without a prior history of depression. Conclusions: Diagnoses of depression increased in cancer patients since 2008 and were associated with prior history of depression, advanced age, census tract poverty, and continued treatment 3 years after diagnosis. Treatment type and disease specific factors were not strong predictors of depression.