Previous History Of Depression Research Articles

Harnessing Consumer Wearable Digital Biomarkers for Individualized Recognition of Postpartum Depression Using the All of Us Research Program Data Set: Cross-Sectional Study.

Postpartum depression (PPD) poses a significant maternal health challenge. The current approach to detecting PPD relies on in-person postpartum visits, which contributes to underdiagnosis. Furthermore, recognizing PPD symptoms can be challenging. Therefore, we explored the potential of using digital biomarkers from consumer wearables for PPD recognition. The main goal of this study was to showcase the viability of using machine learning (ML) and digital biomarkers related to heart rate, physical activity, and energy expenditure derived from consumer-grade wearables for the recognition of PPD. Using the All of Us Research Program Registered Tier v6 data set, we performed computational phenotyping of women with and without PPD following childbirth. Intraindividual ML models were developed using digital biomarkers from Fitbit to discern between prepregnancy, pregnancy, postpartum without depression, and postpartum with depression (ie, PPD diagnosis) periods. Models were built using generalized linear models, random forest, support vector machine, and k-nearest neighbor algorithms and evaluated using the κ statistic and multiclass area under the receiver operating characteristic curve (mAUC) to determine the algorithm with the best performance. The specificity of our individualized ML approach was confirmed in a cohort of women who gave birth and did not experience PPD. Moreover, we assessed the impact of a previous history of depression on model performance. We determined the variable importance for predicting the PPD period using Shapley additive explanations and confirmed the results using a permutation approach. Finally, we compared our individualized ML methodology against a traditional cohort-based ML model for PPD recognition and compared model performance using sensitivity, specificity, precision, recall, and F1-score. Patient cohorts of women with valid Fitbit data who gave birth included <20 with PPD and 39 without PPD. Our results demonstrated that intraindividual models using digital biomarkers discerned among prepregnancy, pregnancy, postpartum without depression, and postpartum with depression (ie, PPD diagnosis) periods, with random forest (mAUC=0.85; κ=0.80) models outperforming generalized linear models (mAUC=0.82; κ=0.74), support vector machine (mAUC=0.75; κ=0.72), and k-nearest neighbor (mAUC=0.74; κ=0.62). Model performance decreased in women without PPD, illustrating the method's specificity. Previous depression history did not impact the efficacy of the model for PPD recognition. Moreover, we found that the most predictive biomarker of PPD was calories burned during the basal metabolic rate. Finally, individualized models surpassed the performance of a conventional cohort-based model for PPD detection. This research establishes consumer wearables as a promising tool for PPD identification and highlights personalized ML approaches, which could transform early disease detection strategies.

Depression during pregnancy and associated factors among women in Ethiopia: a systematic review and meta-analysis

BackgroundPregnancy is one of the most remarkable experiences in a woman’s life. Prenatal depression, characterized by stress and worry associated with pregnancy, can reach severe levels. On a global scale, mental and addictive disorders affect more than one billion people, causing 19% of years lived with disability. It is estimated that 25–35% of pregnant women experience depressive symptoms, with 20% meeting the diagnostic criteria for major depression.MethodsA systematic review and meta-analysis were conducted to examine depression during pregnancy in Ethiopia. The search was conducted from March 1–31, 2023. Data extraction used Microsoft Excel, and analysis was performed using STATA version 17. The New Castle-Ottawa Scale quality assessment tool was employed to evaluate the methodological quality of included studies. The Cochrane Q test and I2 statistics were used to assess heterogeneity. A weighted inverse variance random-effects model estimated the pooled level of antenatal depression (APD). Publication bias was detected using a funnel plot and Begg’s and Egger’s tests.ResultsOut of 350 studies searched, 18 were included in the analysis. The overall pooled prevalence of depression in Ethiopia was 27.85% (95% CI: 23.75–31.96). Harari region reported the highest prevalence (37.44%), while Amhara region had the lowest (23.10%). Factors significantly associated with depression included unplanned pregnancies, low social support, low income, previous history of depression, intimate partner violence, and history of abortion.ConclusionThis systematic review and meta-analysis demonstrate that approximately one-quarter of pregnant women in Ethiopia experience depression during pregnancy. Unplanned pregnancy, low social support, low income, previous history of depression, history of abortion, and intimate partner violence are determinants of depression. To address this high prevalence, the Ethiopian government and stakeholders should develop policies that incorporate counseling during pregnancy follow-ups. Improving the quality of life for pregnant women is crucial for the well-being of families, communities, and the nation as a whole.

Difficulties in Pregnancy Adjustment as Predictors of Perinatal Depression: Indirect Effects through the Role of Brooding Rumination and Maternal-Fetal Bonding.

The aim of this research was to study the ways in which problems of adaptation to pregnancy influence the development of symptoms of perinatal depression via the presence of brooding and low maternal-fetal bonding, in addition to other risk factors previously established in the literature. Representative sample of pregnant women in the third trimester of gestation (N = 594) completed an online survey that included sociodemographic data and measures of perinatal depression, adjustment to pregnancy, bonding, and brooding. Other risk factors were also assessed as covariates, such as previous history of depression, generalized anxiety, perceived social support, and experience of stressful life events. Descriptive and correlational analyses were performed on the scores obtained by the subjects with the different instruments. A path model was formulated to establish the pathways through which adjustment influences perinatal depression symptomatology. On the one hand, the presence of brooding (worst adjustment to pregnancy → high brooding → perinatal depression symptomatology), and on the other hand, the quality of maternal-fetal bonding (worst adjustment to pregnancy → poor quality fetal-maternal bonding → perinatal depression symptomatology) would act as a mediator. The factors proposed by the literature were predictive of perinatal depressive symptomatology and the quality of adjustment to pregnancy. Problems adjusting to changes during pregnancy and experiencing it unsatisfactorily may predict individual differences in perinatal depressive symptoms. Significantly, this relationship was mediated by two key factors, the presence of brooding and low quality of the maternal-fetal bond. Our results provide evidence in favor of the existence of multiple paths through which difficulties in adapting to pregnancy can favor the occurrence of higher levels of perinatal depressive symptoms and identify new avenues for developing research in this area and preventive interventions empirically informed.

RISK FACTORS ASSOCIATED WITH POSTPARTUM DEPRESSION

Postpartum Depression (PPD) begins to be reported in the 17th and 18th centuries. In the gravidic-puerperal period some events occur such as physiological, psychological and psychosocial changes. The main risk factors for the onset of PPD include: extreme anxiety; stressful events; previous history of depression; lack of family support; unwanted or planned pregnancy; relationship with partner; low socioeconomic status; dependence on alcohol, tobacco, or other drugs; and history of domestic violence. The diagnosis is made by health professionals and through the use of two symptom tracking instruments which are the Edinburgh Postpartum Depression Scale (EPDS) and the Diagnostic and Statistical Manual of Mental Disorders 5th Edition (DSM 5). This work aimed to identify and know the risk factors associated with Postpartum Depression, as well as discuss prevention and methods for early diagnosis. This is an integrative literature review study. Articles indexed in the databases Virtual Health Library (VHL), Scientific Electronic Library Online (Scielo) and Pubmed were used, using the descriptors (DESC) Postpartum Depression or Puerperium, Postpartum Depression or Risk Factors and Postpartum Depression or Nursing Care. From the searches in the cited databases, 81,226 articles were found, which were submitted to the inclusion and exclusion criteria established in this work. After applying the filters, inclusion and exclusion criteria, duplicity, reading the full abstracts, 15 articles were chosen to answer the research question. This study aimed to identify the risk factors associated with PPD. The articles of this review point out that its development occurs through some determinants that arise during pregnancy and postpartum. The risk factors cited by the researches that favor the emergence of PPD include: stressful events during pregnancy, previous history of depression, age, level of education, number of children, marital status, family income. For this, it is important that the health team is in constant training in order to promote health and prevention. With this, it will be possible to observe the decrease in maternal morbidity and mortality rates, infanticides, minimizing complications for puerperae, less damage to the development of babies, as well as maintaining the integrity of the effective mother-child bond, without interfering in the relationship with partners and family members.

The Underlying Factors for Postpartum Depression Severity in Iran: A Single-Center Study

Objective: Postpartum depression (PPD) is a common mental disorder among women and it can cause negative consequences for them, children, and families; however, accurate statistics and underlying factors on PPD and its severity are not available in Iran.&#x0D; Materials and methods: In this cross-sectional study, 200 women referred to an academic hospital for normal vaginal delivery, which had a full-term and single pregnancy and had passed between 6 weeks and 6 months of delivery, were selected by convenience sampling methods. The Edinburgh Depression Inventory and the checklist for demographic information of mothers were completed.&#x0D; Results: The prevalence of postpartum depression was 11.0% and 68.2% of mothers had a mild type. 31.8% had a history of depression. There was a significant relationship between the severity of postpartum depression in women with a previous history of depression (P = 0.012). Between postpartum depression and maternal age (P = 0.115), body mass index at delivery (P = 0.571), number of pregnancies (P = 0.693), number of deliveries (P = 0.446), number of abortions (P = 0.424), willing or unwilling pregnancy (P = 0.451), neonatal sex (P = 0.533), history of neonatal hospitalization (P = 0.725), previous history disease (P = 0.725) was no statistical association.&#x0D; Conclusion: The prevalence of PPD was approximately 11%, and there was a significant association between postpartum depression severity and a history of depression Physicians and policymakers should consider early screening for PPD, especially among women with previous depression.

The Impact of Post-Stroke Depressive Symptoms on Cognitive Performance in Women and in Men: A 4 Month Prospective Study.

Background: Depressive symptoms have been associated with cognitive impairment after stroke, and women may be specifically affected. Objective: The aim of this study was to investigate gender-specific characteristics in the relationship between changes in depression severity and changes in cognitive performance after stroke. Methods: We prospectively evaluated 73 patients without a previous history of depression in the first and fourth months after a first ischemic stroke. The severity of depressive symptoms was assessed using the 31-item version of the Hamilton Rating Scale for Depression, and executive function, attention, working memory, and verbal fluency were assessed using a neuropsychological battery. Results: We included 46 (63.0%) men and 27 (36.9%) women, with mean ages of 55.2 (SD ± 15.1) and 46.8 (SD ± 14.7) years, respectively. We found significant improvement in the digit span forward and Stroop dots from month 1 to month 4 post stroke for both men and women. Women, but not men, presented a correlation between changes in phonemic verbal fluency and changes in the 31-item version of the Hamilton Rating Scale for Depression scores. Improvement in depression was correlated with improvement in verbal fluency, and worsening in depression was correlated with worsening in verbal fluency. Conclusions: Our results suggest that women might be more vulnerable to the relationship between depressive symptoms and cognitive performance, and improvement of depression may be necessary for women's improvement in phonemic verbal fluency from the first to the fourth month after a stroke. We did not adjust the results for multiple comparisons. Thus, our findings might be considered preliminary, and confirmatory studies, also focusing on specific characteristics of women that could explain these differences, are warranted.

Stress levels among healthcare workers and adult population during the third wave of COVID-19 pandemic in a metropolitan city

Introduction: The impact of coronavirus disease 2019 (COVID-19) on public health has been widespread with clinically diverse manifestations ranging from asymptomatic presentation to critical illness. COVID-19 might influence different aspects of the stress process on the general population and healthcare workers (HCWs).&#x0D; Objectives: To examine the relationship of demographic variables with depression, anxiety, and stress and to compare stress levels in HCWs and the general population.&#x0D; Method: A cross-sectional study was conducted. A sample of 1,063 participants was collected based on two groups. The first group comprised of HCWs who were directly looking after COVID-19 confirmed or suspected patients and working in any primary, secondary, or tertiary care hospitals. The second group comprised of participants working in public-dealing departments or businesses. Depression Anxiety Stress Scale-42 (DASS-42) was administered to assess depression, anxiety, and stress.&#x0D; Result: Young people, females, and people having less work experience and without civil defense or disaster management training were more depressed, anxious, and stressed. Participants who had no access to scientific journals were more stressed. Average time spent on social media on COVID-19-related information, history of psychological illnesses, and use of sedatives after the COVID-19 pandemic positively predicted anxiety, depression, and stress. There was no significant difference in the scores of depression, anxiety, and stress for HCWs and the general population. &#x0D; Conclusion: The anxiety levels were comparable among HCWs and adults, with vulnerable groups being female gender, young adults, and those who had a previous history of depression or substance abuse. Special consideration must be given to mental health, and protocols must be designed to provide psychological and emotional support to susceptible individuals.

Psychiatric morbidity among pregnant and non pregnant women in Ibadan, Nigeria

A comparative cross-sectional study was conducted among 991 pregnant and 674 non-pregnant women of reproductive age attending healthcare facilities in Ibadan, Nigeria using the General Health Questionnaire-12 (GHQ), and WHO self-reporting questionnaire (SRQ). Logistic regression analysis was conducted to identify predictors of psychiatric morbidity at p < 0.05. A significantly higher proportion of pregnant women experienced psychological distress on the GHQ (51.8%) and psychiatric morbidity on SRQ (33.3%) compared with 28.6% and 18.2% of non-pregnant women, respectively. Predictors of psychiatric morbidity among pregnant women were the type of facility, poor satisfaction and communication with partners, the experience of violence in the home, previous abortions, and previous history of depression. Psychiatric morbidity among non-pregnant women was predicted by younger age, previous history of depression, poor satisfaction and communication with partners. There is a need for early identification of psychiatric morbidity among women of reproductive age, to ensure early interventions and prevent long-term disability. Impact statement What is already known on this subject? Psychiatric morbidity has immense effects on a woman’s quality of life, social functioning, obstetric outcome, and economic productivity. What do the results of this study add? Psychiatric morbidity among women of reproductive age is high. Pregnant women when compared to non-pregnant women had significantly higher rates of psychiatric morbidity. This high prevalence of psychiatric morbidity in both groups was predicted by poor satisfaction and communication with partners, and a previous history of depression. What are the implications of these findings for clinical practice and/or further research? Simple screening for women of reproductive age attending healthcare facilities may help with the early identification of psychiatric morbidity leading to prompt interventions, and preventing long-term disability.

Depression and anxiety in systemic lupus erythematosus: A case-control study on prevalence and associated factors in a single-center cohort.

To evaluate the prevalence of self-perceived depression and anxiety in patients with systemic lupus erythematosus (SLE) and to explore associated factors. Cross-sectional study of unselected patients with SLE (ACR-97 criteria) and controls with chronic inflammatory rheumatic diseases. Both completed the Hospital Anxiety and Depression Scale (HADS). Demographic and clinical characteristics, comorbidity, and treatments were collected, and a multivariate analysis was performed to explore factors associated with depression and anxiety in SLE. The study population comprised 172 patients and 215 controls. Women accounted for 93% of the patients with SLE. Fibromyalgia was recorded in 12.8% and a history of depression in 17%. According to HADS, 37.2% fulfilled the diagnostic criteria for depression and 58.7% those for anxiety; prevalence was similar in the controls (32.6% and 55.1%, respectively). Up to a third of patients with self-perceived depression were not receiving antidepressants. There was no concordance between a previous history of depression and current depression. In the multivariate model, current depression was associated with single marital status (OR 2.69; 95% CI: 1.17-6.42; p = .022), fibromyalgia (7.69; 2.35-30.72; p = .001), smoking (3.12; 1.24-8.07; p = .016), severity of SLE (0.76; 0.6-0.94; p = .016), and organ damage (1.27; 1.01-1.61; p = .042). Current anxiety was only associated with fibromyalgia (3.97; 1.21-17.98; p = .036). Depression and anxiety are most likely underdiagnosed in SLE. Prevalence appears to be similar to that of other chronic inflammatory rheumatic diseases. Anxiety is associated with fibromyalgia, while depression is also associated with single marital status, smoking, organ damage, and severity of SLE.

FACTOR ASSOCIATED WITH STRESS, ANXIETY, AND DEPRESSION AMONG MEDICAL STUDENTS IN TABUK CITY, 2022

Introduction: Stress, anxiety, and depression can be associated with severe harmful consequences to the physical, mental and social well-being of the affected populations. This study was conducted to determine the prevalence of stress, anxiety, and depression among medical students at Tabuk University and to identify the associated risk factors. Methods: Cross-sectional study, self-administered questionnaire distributed among medical students at Tabuk University. Results:The completequestionnaires were received from 241 participants giving a response rate of 62.7%.Prevalence of depression among medical students was 28.6%, anxiety 46.05%, and stress 13.2%. prevalence of depression among basic years was 38%, anxiety 53%, and stress 7.7% while the prevalence is less in clinical years at 27%, 44%, and 5.6% for depression, anxiety and stress respectively. The prevalence of depression was higher among female medical students at 41.1% while the prevalence in males was 21.9%. anxiety is also higher in females 56.6% and 38.1% and males. Stress was 9.5% in female and 2.5% in male medical students. In our study, the factors that affected stress, anxiety, and depression among medical students. Gender, previous history of depression or anxiety, family history of suicidal attempts, and mental illness were determinant factors for stress, depression, and anxiety. Also, stress was significantly affected by academic performance. Students with good, very good, and excellent academic performance tended to have no stress. Conclusions: Our findings in this study suggest that anxiety and depression are prevalent among Tabuk University medical students.The prevalence more in female and basic years medical students. Other risk factors include previous history of mental illnesses, a family history of suicidal attempts, and academic performance.

Risk Factors of Postpartum Depression.

Postpartum depression (PPD) is a widespread mental health problem and one of the prime causes of maternal suffering and ill health. On a global level, the prevalence of the disorder is about 10 to 15%. Symptoms generally appear within the first four to six weeks, which is the high-risk period. However, it may develop up to one year post-delivery. PPD presents with symptoms of classical depression, including mood fluctuations, bouts of crying, lack of interest in the child, and even thoughts of suicide. PPD not only has adverse effects on the mother's health but also hampers the growth and development of the child. It hampers the formation of a healthy mother-child bond, which in turn may impact feeding practices. The social environment of the infant during the first few months is primarily provided by the mother, and PPD may thus impact the child's development. It also increases the child's susceptibility to malnutrition. Research on postpartum depression has garnered momentum within the last few years. However, the masses are still largely unaware of the disorder and its implications. There is also an inadequacy of awareness of the risk factors of PPD. The cross-cultural differences in manifestations and appropriate preventive measures have not been extensively studied. Some risk factors for PPD are similar to those for classic depression; however, obstetrical and pediatric factors are also involved. This literature review aims to assess the currently known risk factors for PPD, their strength of association, and probable mechanisms to help identify the high-risk group and enable the implementation of preventive measures or facilitate early diagnosis. The factors identified spanned sociodemographic, biological, psychological, and obstetric domains. These included socioeconomic standing, marital relationship, history of psychiatric illness, social support, gestational diabetes, vitamin D deficiency, immigration status, delivery method, violence and abuse, birth experience, and biological and epigenetic markers. The risk factors for postpartum depression are numerous and may have strong to weak associations with the development of PPD. A previous history of depression or psychiatric illness, depressive symptoms during pregnancy, gestational diabetes, and a lack of spousal and social support were the most powerful risk factors. Other significant factors include complications during pregnancy, low socioeconomic status, and stressful life events. Studies on maternal age and chronic illness as risk factors were inconclusive. The roles of genetic and epigenetic markers, cultural factors, and vitamin D insufficiency require further investigation.

Effect of Trauma Mechanism of Injury on Post-Traumatic Stress Disorder and Depression Screening

INTRODUCTION: Few data exist guiding surgeons on the management of trauma-induced mental health issues. We hypothesize that the mechanism of injury (MoI) affects posttraumatic stress disorder (PTSD) and depression in trauma patients. METHODS: This is a retrospective cohort study of adult Level I trauma center patients from March 2018 to June 2021 completing a 3-month follow-up screening for PTSD with PCL-5 and depression with PHQ-9 scoring. Demographics and hospitalization details were culled from electronic medical records. MoI was categorized as blunt: low energy, blunt: high energy, and penetrating type by CDC Field Triage Guidelines. Baseline characteristics were compared. Scores were dichotomized before generating logistic and ordinal regression models. RESULTS: A total of 1,148 trauma patients underwent follow-up screening for PTSD and depression. MoI included 67.6% blunt: high energy, 23.2% blunt: low energy, and 9.2% penetrating trauma. Penetrating patients were more likely to screen PTSD positive (odds ratio [OR] 1.72, 95% CI 0.98 to 2.93) and blunt: low energy patients were less likely (OR 0.49, 95% CI 0.28 to 0.84). MoI did not significantly influence depression screening. Patients with previous depression history were more likely to screen positive for PTSD (OR 2.80, 95% CI 1.70 to 4.61) and experience higher depression scores (OR 2.36, 95% CI 1.61 to 3.47; Figure).Figure.: ISS, injury severity score; PTSD, posttraumatic stress disorder.CONCLUSION: Mechanism of injury influences psychiatric sequelae in trauma patients. Compared wth blunt mechanisms, penetrating trauma patients were more likely to screen positive for PTSD. Blunt: low energy provided a protective effect. Routine PTSD screening, especially after penetrating trauma, may identify patients requiring further investigation and intervention.

Prevalence of depression and associated factors among pregnant women attending antenatal care in public health institutions of Awabale Woreda, East Gojjam Zone, Northwestern Ethiopia: A cross-sectional study.

Antenatal depression is a serious health problem and has negative consequences for the mother, fetus, and the entire family. However, it is a neglected component of care especially bay health care providers for women in pregnancy. The purpose of this study was to assess the prevalence of depression and associated factors among pregnant women attending antenatal clinics in public health institutions, in the Awabale Woreda. An institutional-based cross-sectional study was conducted in 2018 and a stratified sampling technique was used to select the study health institutions. All seven public health institutions in Awabale District were included to select 393 mothers and the sample size was proportionally allocated based on the number of target mothers. We used EpiData version 3.1software for data entry and SPSS version 20 software for cleaning and analysis. A Bivariable logistic regression analysis was used to identify the association between each outcome variable and the factor. Again, a multivariable logistic regression analysis was employed to identify factors associated with each outcome variable, and variables with a p-value less than 0.05 were taken as significant variables. Edinburgh Postnatal Depression Scale was used to declare the presence of antenatal depression with a cut point score of 13 and above. This study showed that 63(17.8%) pregnant mothers had antenatal depressive symptoms. Women who were employed 85% reduced to develop antenatal depression than housewives [AOR = 0.15(0.001-0.25)]. Pregnant women who attended high school and above educational level were 18 times more likely to develop antenatal depression than women who had no formal education [AOR18.15 (2.73-120.76)]. Women who had poor husband feeling on the current pregnancy were 4.94 more likely to develop antenatal depression than women who had good partner feeling on the current pregnancy [AOR = 4.94(95%CI: 1.78-13.72)]. Women who had a history of depression were 8.2 times to develop antenatal depression than women who had no history of depression [AOR = 8.22 (95%CI: 2.87-23.57)]. This study revealed that approximately one-fifth of pregnant women developed antenatal depression. Women's occupational status, educational status, previous history of depression, and poor husband feeling on the current pregnancy were the significant factors of antenatal depression.

Frequency and Determinants of Postpartum Depression among Mothers Living in Karachi

Objective: To determine the frequency of Postpartum Depression (PPD) among mothers living in Karachi and to find out the determinants of predispose mothers to Postpartum Depression. Study Design and Setting: The study was cross sectional analytical and was carried by online survey of mothers living in Karachi Methodology: Total duration was six months from 1st January, 2020 to 31st July, 2020. The calculated sample size of study was 369. The study was approved by the Ethical Review Committee of Bahria University Health Sciences Campus, Karachi. Random sampling technique was used to recruit subjects. 294 participants were part of the research. Mothers with previous history of depression and those who had given birth to healthy babies were included in the study. Mothers who have had miscarriage or pre-mature babies were excluded. Questionnaires in both English and Urdu languages were used for the research. PPD was assessed by the help of Edinburgh Post Natal Depression Scale (EPDS). The score of greater than 12 was considered to be indicative of PPD. Results: A total of 294 mothers were enrolled in the study, 187 mothers had an EPDS score &gt;12 giving prevalence of PPD as 63.6%. This study showed that mothers with PPD were more likely not to breastfeed their child (p=0.01), had lack of family support (p=0.00) and had previous history of depression as well (p=0.00). Conclusion: The present study concluded that frequency of postpartum depression was 63.6%. Lack of breastfeeding, previous history of depression and lack of family support were among the determinants that predispose mothers to postpartum depression.

Levels of depressive symptoms in cardiac patients attending cardiac rehabilitation with a history of depression: pre Covid-19 and Covid-19 period comparison

BackgroundThe large-scale changes in cardiac rehabilitation (CR) programme delivery in response to COVID-19 has led to diminished provision. The influence of these service changes on the depression symptoms of patients in CR programmes is unknown. Our study investigated the extent of depressive symptoms prior to and during the COVID-19 periods in patients with a previous history of depression at the start of CR.MethodsUse of Registry routine practice data, National Audit of Cardiac Rehabilitation (NACR), from COVID-19 period Feb 2020 and Jan 2021, as well as pre COVID-19 period Feb 2019 and Jan 2020, was extracted. Depressive symptoms were defined according to Hospital Anxiety and Depression Score ≥ 8. Chi-square tests and independent samples t-tests were used to investigate baseline characteristics. Additionally, a binary logistic regression to examine the factors associated with high levels of depressive symptoms.ResultsIn total 3661 patients with a history of depression were included in the analysis. Patients attending CR during COVID-19 were found to be 11% more likely to have high levels of acute depressive symptoms compared to patients attending CR prior to COVID-19. Physical inactivity, increased anxiety, a higher total number of comorbidities, increased weight, and living in the most deprived areas were statistically significant factors associated with high levels of acute depressive symptoms at the start of CR following multivariate adjustments.ConclusionOur research suggests that following a cardiac event patients with prior history of depression have high levels of acute depressive symptoms at CR baseline assessment. This finding exists in both the pre Covid-19 and Covid-19 periods in patients with a history of depression.

Adölesan Gebelerde Depresyonun Psikososyal Risk Faktörleri

Aim: Pregnancy in adolescence can negatively affect psychological, physical, and social development, and depression is more common in these pregnancies. This study aimed to investigate frequency of antenatal depression, and its psychological and social antecedents, in adolescent pregnancies. Material and Methods: This cross-sectional survey study included 272 pregnant adolescents admitted to the antenatal outpatient clinic in a tertiary hospital between May and August 2019. The Edinburgh Postpartum Depression Scale (EPDS) and a structured questionnaire about demographic and psychosocial characteristics, and obstetric history, were used. Results: The mean age of the pregnant adolescents was 17.2±0.8 (range, 14-19) years, 232 (85.3%) of them were married, and their mean age at first marriage was 16.6±1.3 years. The mean total EPDS score was 8.7±6.2, and 58 (21.3%) of them had depressive symptoms. As education level decreased, the frequency of depressive symptoms increased (p=0.001). In total, 36 (62.1%) of the 58 pregnant adolescents with an EPDS score ≥13 had a history of depression; the other 22 (37.9%) had no history. The prevalence of depression symptoms was significantly higher in pregnant adolescents with a history of depression (p=0.001). In total, 17 pregnant adolescents with a depression risk score ≥13 were diagnosed with depression, and psychiatric support and counseling were provided. Conclusion: In pregnant adolescents, low educational status and a previous history of depression were closely associated with antenatal depression. Effective antenatal screening should be performed in all pregnant adolescents, especially those with risk factors, to check for antenatal depression and identify those who need psychological support.

The association between 13 Reasons Why and suicidal ideation and behaviors, mental health symptoms, and help-seeking behaviors in youths: An integrative systematic review

Background: The series 13 Reasons Why (13RW) raised critical concerns regarding the deleterious impact of fictional suicide portrayal on suicidal behaviors as it depicted the suicide of an adolescent without following the recommendations on media reporting of suicide portrayal. We aimed to assess the impact of 13RW on suicide rates, suicide attempts (SA), and suicidal ideation (SI) prevalence, mental health symptoms, and help-seeking behaviors in youths. Method: Following PRISMA guidelines, we systematically searched for articles on three databases up to January 2022. Results: A total of 17 articles met the inclusion criteria. Five large studies reported a significant increase in deaths by suicide and SA in youths in the United States and Canada after the release of 13RW. Mood deterioration or more intensive depressive symptoms were reported in vulnerable adolescents who watched 13RW. Youths with previous history of depression, SA, or SI, and those who identified themselves with the main character were at higher risk to report an increase in SI or mood deterioration. Help-seeking behaviors significantly decreased, but the effects on mental health awareness tended to be positive after the release of 13RW. Conclusion: Our review reveals critical results about the impact of 13RW on youths. We report an alarming harmful impact on suicide and SA rates, especially in more vulnerable youths. The reported positive effects do not balance the deleterious impact of 13RW.

Risk factors for psychological morbidity and the protective role of coping self-efficacy in young women with breast cancer early in diagnosis: a national multicentre cohort study.

Young women with breast cancer (YWBC) are an understudied population and there are limited data on risk factors for psychological morbidity early in diagnosis. We examined psychological morbidity (anxiety, depression, stress symptoms), well-being and associated risk factors. A total of 845 women from a pan-Canadian, multicentre inception cohort study of YWBC (age ≤ 40) who completed Patient Reported Outcome Measures (PROMs) after their initial surgical consultation and prior to surgical or other treatments were included. Multivariate regression analyses identified risk factors (i.e. parenting young children) associated with psychological morbidity and whether coping self-efficacy was protective. Rates of clinically significant anxiety (n = 683, 69.1%) and depression (n = 422, 42.7%) were high but lower for stress symptoms (n = 67, 6.8%). Probability of anxiety was high for women with a previous history of depression (OR 2.02, P = 0.03, CI 1.09-3.74) and working full-time (OR 1.76, P = 0.05 CI 1.02-2.77). Whereas, pre-existing depression (OR 2.91, P = 0.01, CI 1.36-6.01), younger children (age ≤ 10) (OR 1.69, P = 0.05, CI 1.01-2.93), and income > $100,000 (OR 2.06, P = 0.02, CI 1.18-3.64) were risk factors for depression. Coping self-efficacy was protective with a decreased risk of anxiety (OR 0.11, P ≤ 0.01 CI 0.04-0.28), depression (OR 0.03, P ≤ .01, CI 0.01-0.16), stress symptoms (OR 0.17, P ≤ .01, CI 0.04-0.65) and higher psychosocial well-being with a gain of 19.68 points (P < 0.01) for high levels of CSE (> mean plus 1 SD). Those with lower levels of neurosis had less negative outcomes. Young women with breast cancer are vulnerable to psychological morbidity early in diagnosis, particularly those with low coping self-efficacy and may benefit from earlier supportive care.

Loneliness and Depression among Community Older Adults during the COVID-19 Pandemic: A cross-sectional study.

BackgroundSocial isolation has been recommended for reducing older adults' mortality and severe cases of COVID illness. That has resulted in unavoidable consequences of mental ill‐health. This study aimed to examine the impact of the COVID‐19 lockdown on the development of loneliness and depression and to analyse the factors associated with these conditions among community‐dwelling older adults in Jordan.MethodsA cross‐sectional survey was conducted with a random sample of 456 community older adults contacted by telephone three weeks after the first pandemic lockdown in April 2020. The study instrument included the screening three‐item UCLA Loneliness Scale, the Geriatric Depression Scale, and relevant medical and functional history.ResultsThe mean age was 72.48 ± 6.84 years, and 50.2% were women. 41.4% were lonely, and of those 62% had a positive screen for depression. The mean UCLA score was significantly higher during the lockdown than before. Loneliness was significantly associated with being unmarried, having never worked previously, and being functionally dependent. Lonely participants were 1.65 times more likely to have depression. Likewise, a previous history of depression and cognitive impairment, multimorbidity, poor self‐perceived health, and concern about contracting COVID infection were significant predictors of depression.ConclusionThe COVID‐19 pandemic has had a heavy toll on older adults' mental health, particularly those with multimorbidity, baseline functional dependence, and those with a previous history of depression and cognitive impairment. Targeting these high‐risk groups is important in order to minimize loneliness, depression, and subsequent increased morbidity. Using all‐inclusive language might minimize ageism and the fear of catching an infection.

Determinants of Depression among Malay Single Mothers Living in Community in Perak, Malaysia.

BackgroundBeing a single mother is challenging. Many single mothers developed depression, but some managed to survive. This study aimed to determine the proportion of depression among single mothers living in community and its associated factors.MethodsThis cross-sectional study involved conveniently sampled 213 Malay single mothers living in community in Perak, Malaysia. A Malay version of Patient Health Questionnaire (PHQ)-9 was used to determine significant depression at a cut-off point of 10. Malay version of Multidimensional Scale of Perceived Social Support (MSPSS-M) and Brief-Coping with Problems Experienced (COPE) scales were used to assess support and coping strategies.ResultsThe proportion of depression among Malay single mothers in this study was 20.2% (95% CI: 15.0, 26.2). Previous history of depression (adjusted odds ratio [aOR]: 10.27; 95% CI: 2.18, 48.35; P = 0.003) and coping by using self-blame (aOR: 2.00; 95% CI: 1.45, 2.77; P < 0.001) increased the risk of depression. Active coping (aOR: 0.66; 95% CI: 0.46, 0.96; P = 0.027) and use of emotional support (aOR: 0.61; 95% CI: 0.44, 0.84; P = 0.002) is protective of depression.ConclusionThere was a high proportion of depression among Malay single mothers living in the community. Personal history of depression and type of coping strategies used significantly influenced the occurrence of depression among these single mothers. Providing guidance to acquire adaptive coping strategies is a crucial preventive measure.