The Relationship Between Anxiety, Depression and Cognitive Functioning in Older Adults: An Exploratory Cross-Sectional Analysis of Wave 1 Lothian Birth Cohort 1936 Data.

OBJECTIVES: To explore the strength of the association between cognitive functioning and depression and anxiety in older people without dementia. METHODS: An exploratory, cross-sectional analysis of Wave 1 (2004-2007) data from the Lothian Birth Cohort 1936 dataset. Three subgroups were based on Hospital Anxiety and Depression Scale (HADS) subscales: no probable anxiety or depression (N = 592), probable anxiety no depression (N = 122), probable depression with/without anxiety (depression) (N = 30). Regression analyses determined relationships between subgroups and identified cognitive test variables. RESULTS: Participants were 744 individuals (male = 385 [51.5%]; mean [M] age = 69.5 years [Standard deviation = 0.83]); characteristics for subgroups were similar. Participants with probable depression had slower simple reaction time scores than those with no anxiety or depression (regression slope [ß] on the log10 scale = 0.05, 95% Confidence Interval [0.03, 0.08], p ≤ 0.001). Those with probable anxiety had significantly worse scores on other tests: Spatial span (ß = -0.80 [-1.36, -0.25], p ≤ 0.005), Symbol Search (ß = -1.67 [-2.90, -0.45], p ≤ 0.01), Matrix Reasoning (ß = -1.58 [-2.55, -0.60], p ≤ 0.005) and Block Design (ß = -3.33 [-5.29, -1.37], p ≤ 0.001), than those without probable anxiety or depression. CONCLUSION: Probable depression and anxiety were found to be associated with lower cognitive function in those without evidence of dementia. People with probable anxiety showed poorer performance in tests that concerned making decisions. People with probable depression showed slower processing speed.

Prevalence and associated factors of post-stroke depression in Africa: a systematic review and meta-analysis.

BACKGROUND: Depressive disorder is considered the most frequent and burdensome mental health complication after stroke. Post-stroke depression is under-recognized in Africa and data remain scarce. These systematic reviews and meta-analyses were, therefore conducted to fill the gap. METHODS: An inclusive review of both published and unpublished articles was conducted. An initial search was conducted in PubMed, African Journal Online, EMBASE, SCOPUS and Google Scholar. Data were extracted using an Excel data format and the analysis was done using STATA version 14 statistical software. The heterogeneity of studies was determined using the Cochrane Q test statistic and I2 test statistics with forest plots. A random effects model was used to examine the pooled prevalence of post-stroke depression and subgroup analysis was conducted for those having significant heterogeneity. Sensitivity analysis and publication bias were also assessed. Pooled odds ratios (ORs) with a 95% confidence interval (CI) were calculated. Results were presented in narratives, tables and forest plots. RESULT: A total of 25 Articles with 3098 stroke patients from African countries were included to pool the prevalence of post-stroke depression in the meta-analysis. The pooled prevalence of post-stroke depression in Africa at any time was 38.35% [95% CI, 34.07-42.63%]. The pooled estimate for post-stroke depression using clinical diagnostic tools was [38.53%, 95%CI: 34.07-42.63] and (36.81% [32.09-41.52%]) by rating scale. Subgroup analysis by region showed that Central Africa [50.92%, 95% CI: 45.94-55.90] had the highest pooled estimate of depression among stroke survivors with high heterogeneity (92.5%). Female gender, cognitive dysfunction and younger age were found associated in the primary studies but their pooled Odds ratio and overall effect were not significant in the meta-analysis. The pooled estimate of the Odds ratio of physical disability in Africa was 2.02[95% CI, 1.04-3.94] with no heterogeneity but the overall effect was significant (p = 0.038). CONCLUSION: Post-stroke depression was relatively higher in Africa. Central Africa had the highest burden of post-stroke depression followed by West Africa. Physical disability was significantly associated with post-stroke depression in the current meta-analysis.

Psychotropic drug prescribing before and during the COVID-19 pandemic among people with depressive and anxiety disorders: a multinational network study.

BACKGROUND: People with mental health conditions were potentially more vulnerable than others to the neuropsychiatric effects of the COVID-19 pandemic and the global efforts taken to contain it. The aim of this multinational study was to examine the changes in psychotropic drug prescribing during the pandemic among people with depressive and anxiety disorders. METHODS: This study included electronic medical records and claims data from nine databases in six countries (France, Germany, Italy, the UK, South Korea, and the USA) of patients with a diagnosis of depressive or anxiety disorders between 2016 and 2021. The outcomes were monthly prevalence rates of antidepressant, antipsychotic, and anxiolytic drug prescribing. The associations between the pandemic and psychotropic drug prescribing were examined with interrupted time series analyses for the total sample and stratified by sex and age group. People with lived experience were not involved in the research and writing process. FINDINGS: Between Jan 1, 2016 and Dec 31, 2020, an average of 16 567 914 patients with depressive disorders (10 820 956 females [65·31%] and 5 746 958 males [34·69%]) and 15 988 451 patients with anxiety disorders (10 688 788 females [66·85%] and 5 299 663 males [33·15%]) were identified annually. Most patients with depressive disorders and anxiety disorders were aged 45-64 years. Ethnicity data were not available. Two distinct trends in prescribing rates were identified. The first pattern shows an initial surge at the start of the pandemic (eg, antipsychotics among patients with depressive disorders in MDCD_US (rate ratio [RR] 1·077, 95% CI 1·055-1·100), followed by a gradual decline towards the counterfactual level (RR 0·990, 95% CI 0·988-0·992). The second pattern, observed in four databases for anxiolytics among patients with depressive disorders and two for antipsychotics among patients with anxiety disorders, shows an immediate increase (eg, antipsychotics among patients with anxiety disorders in IQVIA_UK: RR 1·467, 95% CI 1·282-1·675) without a subsequent change in slope (RR 0·985, 95% CI 0·969-1·003). In MDCD_US and IQVIA_US, the anxiolytic prescribing rate continued to increase among patients younger than 25 years for both disorders. INTERPRETATION: The study reveals persistently elevated rates of psychotropic drug prescriptions beyond the initial phase of the pandemic. These findings underscore the importance of enhanced mental health support and emphasise the need for regular review of psychotropic drug use among this patient group in the post-pandemic era. FUNDING: University Grants Committee, Research Grants Council, The Government of the Hong Kong Special Administrative Region.

Substance use patterns and mental health comorbidities in youth with a history of depression or suicidality: Findings from TX-YDSRN.

BACKGROUND: There is a robust relationship between depression and substance use in youth, with higher levels of substance use associated with greater depressive symptomatology. However, previous research has examined individual substances, without consideration of psychiatric comorbidities. Here, we investigate patterns of substance use among depressed and/or suicidal youth within the context of psychiatric comorbidities. METHODS: 945 youth with depression and/or suicidality from the Texas Youth Depression and Suicide Research Network (TX-YDSRN) were assessed for current use of alcohol, nicotine, cannabis, and other drugs and comorbid psychiatric diagnoses. We used latent class analysis to identify patterns of past-year substance use, then examined if demographics or psychiatric disorders predicted class membership. RESULTS: We identified three patterns of substance use: non-use (63.4 %), moderate likelihood of using alcohol, nicotine and cannabis (23.8 %), and high likelihood of using all substances (12.7 %). Compared to non-users, individuals in the moderate and high likelihood classes were more likely to be older. Individuals in the high likelihood class were more likely to have a substance use disorder, ADHD, and higher suicidality scores. LIMITATIONS: We cannot ascertain the causal or temporal ordering of substance use and psychiatric diagnoses due to the cross-sectional nature of the study. CONCLUSIONS: Using a brief, self-report measure of substance use, we identified three classes of substance users differing in probability of past-year use, which were predicted by older age and some psychiatric comorbidities. While research on universal screening of substance use in youth remains limited, we discuss who may benefit from such screening among depressed youth.

Determining the Impact of Preoperative Psychiatric Comorbidities on Readmission After Resection of Vestibular Schwannoma.

OBJECTIVE: To determine the impact of comorbid depression on readmission after vestibular schwannoma resection. STUDY DESIGN: Retrospective database analysis. SETTING: National database of readmitted patients. PATIENTS: The Nationwide Readmission Database (NRD) was retrospectively reviewed for patients with history of vestibular schwannoma, identified by International Classification of Disease, Ninth Revision (ICD-9) code 225.1 and ICD-10 code D33.3, who underwent surgical resection (ICD-9 04.01, ICD-10-PCS 00BN0ZZ) in 2020. INTERVENTIONS: Therapeutic. MAIN OUTCOME MEASURES: Need for rehabilitation, need for procedures, length of stay, cost of readmission, and insurance status. RESULTS: A total of 1997 patients were readmitted after resection of vestibular schwannoma in 2020. Of these patients, 290 had history of a comorbid depressive disorder.A significantly higher proportion of patients with history of comorbid depression were transferred to a rehabilitation facility after readmission (11.30% versus 4.30%, p < 0.001). Length of stay (p = 0.227) and total readmission cost (p = 0.723) did not differ significantly, but a significantly lower proportion had private insurance (55.40% versus 64.40%, p = 0.027). CONCLUSION: Depression is associated with higher utilization of postoperative rehabilitation services and higher rates of medical comorbidities, and should be considered during preoperative evaluation.

Depression among general outpatient department attendees in selected hospitals in Somalia: magnitude and associated factors.

BACKGROUND: Depressive disorders are among the common mental health conditions in the general outpatient setting and affect patients' load and treatment outcomes. People who suffer from depression frequently consult general practitioners and prefer to attribute their symptoms to physical illness rather than mental illness. Little is known about the magnitude and associated factors of depression among patients attending general outpatient services in Somalia. The study aimed at determining the prevalence and associated factors of depression among them. METHODS: This is an institution-based cross-sectional study among randomly selected 422 patients who attended general outpatient services of two hospitals in Mogadishu. We applied three standardized instruments, such as the Somali version of the Patient Health Questionnaire (PHQ-9), the Oslo Social Support Scale (OSSS-3), and the Perceived Stress Scale-10 (PSS-10). We analyzed data using the statistical software SPSS version 29. We calculated prevalence and its 95% Confidence Interval (CI) and identified associated factors by bivariate and Multivariate analysis. We considered the association significant when p value is < 0.05. RESULTS: The prevalence of depression symptoms was found to be 55% (95% CI 50-60%). The result also showed that 55.0% were females, 50.7% were aged between 26 and 44 years, 44.3% were single, 29.9% achieved tertiary education, and 44.3% were unemployed. Multivariate analysis established that age of between 26 and 44 years (aOR = 2.86, 95%CI:1.30-6.29, p = 0.009), being separated/divorced (aOR = 2.37, 95%CI: 1.16-4.82, p = 0.018), income level of ≤$100 (aOR = 3.71, 95% CI:1.36-10.09, p = 0.010), and high stress levels (aOR = 20.06, 95%CI:7.33-54.94, p < 0.001) were independent factors that significantly associated with depressive symptoms. CONCLUSION: This study found high levels of depression among patients attending outpatient clinics, with age, marital status, education level, income level, family history of psychiatry disorder, and stress level being key predictors. Regular screening among patients in outpatient clinics and proper referral are crucial in ensuring that those at high risk of depression are managed effectively.

Common mental health diagnoses arising from or coinciding with menopausal transition and prescribing of SSRIs/SNRIs medications and other psychotropic medications.

BACKGROUND: Women with menopausal transition (MT) have an elevated risk of experiencing common mental health diagnoses (CMHD: depression or anxiety). There is no recent data comparing the rate, and treatment, of CMHD between men and women. METHODS: In this population-based study, incidence rates (IR) per 100 person-years-at-risk (PYAR) for men and women ≥45 years registered with an UK primary care practice between 2010 and 2021 were estimated. Incidence rate ratios (IRR) with 95 % confidence intervals (CIs) of CMHD were estimated using men as a reference. We measured first prescriptions for psychotropic medications received within 12 months after CMHD. For selective serotonin reuptake inhibitors (SSRIs) /selective norepinephrine reuptake inhibitors (SNRIs), we measured the IR of prescribing per 100 PYAR, by 10-year bands. Proportion of SSRIs/SNRIs prescribing was estimated per 100 persons. RESULTS: Rates of anxiety and depressive disorders were 1.68 and 1.69 per 100 PYAR in women aged 45-54 years-old compared to 0.91 and 1.20 per 100 PYAR in men, with IRR of 1.84 (95 % CI 1.72-1.97) and 1.44 (1.35-1.53) respectively. SSRIs/SNRIs were the most prescribed medication; in 2021, IRs for SSRIs/SNRIs were 13.4 per 100 PYAR in both sexes. In 2021, the proportion of SSRIs/SNRIs prescribing was 50.67 per 100 women and 41.91 per 100 men. LIMITATIONS: MT is assumed based on women's age as menopause onset is rarely recorded in primary care databases. CONCLUSIONS: Women ≥45 years experienced more CMHD compared to men, especially 45-54 years-olds, which coincides with MT. The proportion of SSRIs/SNRIs prescribing was higher in women.

Association between adolescent depression and adult suicidal behavior: A systematic review and meta-analysis.

This meta-analysis aims to estimate the association between adolescent depression and adult suicidal behavior, while systematically evaluating gender differences reported in literature. A random-effects model was used to determine the pooled association, reporting odds ratios (ORs) with corresponding 95 % confidence intervals (CIs). Nine articles comprising over 6084 adolescents together showed that people with a history of depression in adolescence are more likely to gain suicidal behaviors during adulthood (OR = 3.97, 95 % Cl: 2.79, 5.63). Sex-specific analysis indicated that males who experienced depression in adolescence developed a higher incidence of suicidal behavior in adulthood compared to females with a similar history (Males: OR = 3.61, 95 % Cl: 1.02, 12.78; Females: OR = 3.56, 95 % Cl: 1.71, 7.43). Furthermore, suicide attempts emerged as the predominant outcome among various suicidal behaviors (OR = 3.43, 95 % Cl: 1.75, 6.71). This meta-analysis provides robust evidence that depression in adolescence significantly increases the risk of suicidal behavior in adulthood.

Emotional State Evaluation of Retinitis Pigmentosa Patients with the Beck Depression Inventory.

Objectives: To evaluate the incidence and severity of depression in patients with retinitis pigmentosa (RP). Materials and Methods: The Beck Depression Inventory (BDI) was administered to 74 patients with RP and 60 healthy controls. Biomicroscopic anterior segment and fundus examination, visual field, optical coherence tomography, and full-field electroretinography tests were performed in all cases. Variables were evaluated with bivariate, multiple linear, and ordinal logistic regression analyses. Results: The RP group included 40 (54%) male and 34 (46%) female patients, while the control group included 23 (38%) male and 37 (62%) female subjects. The patient group had a mean age of 39.20±12.4 years, median best corrected visual acuity (BCVA) of 0.10 decimal (1.0 logarithm of the minimum angle of resolution [logMAR]; range, 1.3-0.7 logMAR), and median visual field mean deviation (MD) score of -28.00 decibels (dB) (range, -1.00 to -34.00 dB). The median BDI score was statistically significantly higher in the patient group (19 points) than in the control group (12 points) (p<0.001). Moderate to severe depression (BDI ≥20) was detected in 61% of patients, while this rate was 25% in healthy controls. BCVA and visual field MD values were identified as predictors of depression score and severity level. The patients' age and gender did not affect total depression score or severity. Conclusion: The prevalence and severity of depression were found to be higher in RP patients than in healthy controls. There was a significant relationship between the patient's functional vision tests and the frequency and severity of depression. Depression reduces the reliability of visual function tests and impairs patients' quality of life. Therefore, assessing mental health as well as functional tests is important in patients with RP.

[Anxiety-depressive disorders in patients before and in the long terms after aortic replacement]. / Trevozhno-depressivnye rasstroistva u patsientov do i v otdalennye sroki posle protezirovaniya aorty.

OBJECTIVE: To study the structure and dynamics of anxiety-depressive disorders in patients with dissection/aneurysm of the ascending aorta and aortic arch before and in the long term after surgical treatment and to identify factors associated with disturbances in psycho-emotional status. MATERIAL AND METHODS: We examined 124 patients with dissection/aneurysm of the ascending aorta and arch before and in the long-term period after aortic replacement, assessing anxiety and depression using the Generalized Anxiety Disorder (GAD-7) and Beck Depression Questionnaires. Multivariate regression analysis was used to identify factors associated with clinically significant anxiety and depressive disorders. RESULTS: Average scores on the GAD and the depression scale before surgery decreased from 6.5 (4.0-9.0) and 12.0 (8.0-16.0) to 3.0 (2.0-5.0) and 6.0 (3.0-10.0) (p<0.05) respectively, in the long-term postoperative period. There was no significant decrease in the proportion of patients with clinically significant levels of GAD and depression (p>0.05). Before surgery, clinically significant anxiety and depressive disorders are associated with older age, chronic cerebrovascular insufficiency (CCI) and atrial fibrillation (AF) in the hospital period. After surgery, clinically significant GAD was associated with older age, CCI, and a history of stroke. Depressive disorders were associated with older age and a history of stroke. CONCLUSION: In all patients with aortic disease, GAD and depression of varying severity are recorded; clinically significant GAD and depression are recorded in 19.2 and 23.2% of cases. In the long-term postoperative period, there is no significant decrease in the proportion of patients with clinically significant levels of GAD and depression, which amounted to 10.1 and 13.1%. Clinically significant anxiety and depressive disorders before and after surgery are associated with older age and the history of cerebrovascular disorders. In addition, the baseline clinically significant anxiety and depressive disorders showed an association with the subsequent development of AF in the early postoperative period.

The path of depression in rural children: A fuzzy-set qualitative comparative analysis across multiple provinces in China.

OBJECTIVES: This study explores the combinations of conditional variables contributing to depressive symptoms in rural children. METHODS: We analyzed data from 715 children from a rural mental health database, conducting detailed follow-up investigations on 129 children in Zhejiang and Henan provinces. We used fuzzy set Qualitative Comparative Analysis (fsQCA) and regression analysis to identify causal pathways leading to depression. RESULTS: The results indicate that depression in rural children does not stem from a single, necessary condition but arises from multiple factors. Our findings highlight significant contributions from both maternal and paternal involvement. Specifically, maternal involvement, combined synergistically with peer support and problematic behaviors, as well as paternal involvement, together with peer support and anxiety, significantly affects depressive outcomes. Additionally, anxiety and strong peer relationships independently have a substantial impact on these outcomes. Effective mitigation strategies involve active parental engagement and robust peer support, reducing the influence of risk factors such as problematic behaviors and anxiety. LIMITATIONS: The generalizability of the results is limited by cultural and geographical variations. The study also does not account for all potential factors influencing depression in rural children. CONCLUSION: Depression in rural children results from multiple interacting factors. Tailored interventions addressing these specific combinations are recommended.

Investigating the causal impact of different types of physical activity on psychiatric disorders across life stages: A Mendelian randomization study.

BACKGROUND: Psychiatric disorders, including attention-deficit hyperactivity disorder (ADHD), depression, anxiety disorders, and dementia, manifest differently across life stages, impacting cognitive, emotional, and behavioral health. Understanding the causal relationships between various types of physical activity and these disorders is crucial for developing targeted interventions. METHODS: The summary level data from GWAS was utilized to conduct a two-sample Mendelian Randomization (MR) analysis. We assessed the potential causal relationships between different types of physical activity including light do it yourself (DIY) activities, heavy DIY activities, strenuous sports, and aerobic exercises/other exercises and the prevalence of psychiatric disorders (ADHD, depression, anxiety disorders, and dementia) across different life stages. RESULTS: The MR analysis showed no causal relationship between light DIY activities and any of the psychiatric disorders studied. Heavy DIY activities showed a significant negative association with anxiety disorders but no links with ADHD, depression, or dementia. Strenuous sports did not demonstrate any causal relationship with the psychiatric disorders examined. Aerobic exercises were notably correlated with a reduced risk of depression, although no significant associations were found with ADHD, anxiety disorders, or dementia. CONCLUSIONS: The findings indicate that heavy DIY activities might contribute to reducing anxiety disorders, while aerobic exercises potentially lower the risk of depression. These results emphasize the potential benefits of promoting specific types of physical activity to improve mental health outcomes across different life stages. Future research could further investigate the mechanisms underlying these relationships and consider diverse populations and objective measures of physical activity.

Global, regional, and national temporal trends in prevalence for depressive disorders in older adults, 1990-2019: An age-period-cohort analysis based on the global burden of disease study 2019.

As a severe public health issue, depressive disorders (DD) has caused an increasingly burden of disease, especially in the older adults. To provide an overview and in-depth analysis of temporal trends in prevalence of DD in older adults at global, regional, and national levels over the last 30 years. Here, an age-period-cohort model was adopted to analyze age, period, and cohort effects. We showed that the global prevalence of DD in older adults was increasing. The net drift of the global prevalence of DD was showing an increasing trend in 78 countries, while local drift showing a declining trend in all age groups in high sociodemographic index (SDI) region. Additionally, period and cohort effects exhibited different patterns across regions. Over time, the declining trend was most significant in high SDI regions, while this trend was most significant in middle SDI region. Interestingly, those aged 60-64 years to 70-74 years was increasing globally, while age group aged 75-79 years to 95-99 years was on declining. In high, high-middle, and low SDI regions, individuals born early face higher risks than those born late, while the opposite results were observed in low-middle SDI region. Overall, our findings offer a insight global perspective for studying the temporal trends of DD prevalence, supplementing our evidence and understanding of DD epidemiology, and identifying gaps in DD prevention, management, and intervention plans in different aspects.

Change in the global burden of depression from 1990-2019 and its prediction for 2030.

OBJECTIVE: Depression is a global health challenge, but only a few studies have fully assessed and predicted the disease burden. This study described the trend of global depression burden from 1990 to 2019 through age-standardized incidence rate (ASIR), age-standardized disability-adjusted life rate (ASDR), and predicted the number of cases of depression during 2020-2030. METHODS: Linear regression analysis was used to calculate the estimated annual percentage change (EAPC) in the age-standardized rates. The trends of global depression burden from 1990 to 2019 were analyzed by age, sex, and socio-demographic index (SDI) across various regions. Finally, we used the Bayesian age-period-cohort (BAPC) model to predict the disease burden in the coming 10 years. RESULTS: Globally, the ASIR of depression decreased from 3681.24 per 100,000 population in 1990 to 3588.25 per 100,000 population in 2019 and the EAPC was -0.29%. ASDR also decreased, following a similar trend as the ASIR. The highest ASDR was observed in adults aged 60-64 years. The burden of depressive illness was higher in women, with the greatest increase in incidence in low SDI areas. BAPC predicted that the worldwide ASIR and ASDR of depression would stabilize from 2020 to 2030, with an increasing number of cases. By 2030, the ASIR was estimated to be 2519.88 per 100,000 men and 3835.11 per 100,000 women. CONCLUSION: From 1990 to 2019, the global burden of depression remained significant, especially among women. It is important to address depression in older people, and it is therefore necessary to develop measures for prevention.

The affective factors of depression symptoms in hypertensive patients and the protective effect of physical activity.

OBJECTIVE: To investigate the potential affective factors of depressive symptoms in patients with hypertension and explore the protective effects of physical activity. METHODS: 211 hypertensive patients aged over 18 years were consecutively recruited. All patients completed a self-designed questionnaire and the Hospital Anxiety and Depression Scale (HADS) to assess the coexistence of depressive symptoms, and psychiatrists were invited to diagnose depression when necessary. Full-night polysomnography was performed to detect the sleep pattern. The association between sleep structure and depressive symptoms was tested by using logistic regression analysis, and contributing factors as well as the effect of physical activity were assessed among patients with and without depressive symptoms. RESULTS: Of the 211 subjects, 33.6% of cases were coexistent with depressive symptoms. Female gender [OR (95%CI): 2.83 (1.44-5.57), P = 0.003) and the greater percentage of REM stage [OR (95%CI): 1.09 (1.01-1.18), P = 0.024] were the risk factors of depressive symptoms, while doing physical activity showed as the protective factor. Patients with REM stage ≥ 20% showed a higher score on HADS-D than those with REM stage < 20% [(4.9 ± 3.8) vs. (3.7 ± 3.1), P = 0.018]. Compared to individuals who never did physical activity, those who did physical activity 1-2 times per week and ≥ 3 times per week had a 52% and 62% risk reduction in depressive symptoms respectively. Patients who did physical activity had lower levels of high-sensitivity C-reactive protein (hs-CRP) compared to those who never did physical activity. CONCLUSION: Female gender and a higher percentage of REM stage are risk factors for depressive symptoms in hypertension, while physical activity may benefit depressive symptoms by reducing serum levels of hs-CRP.

Associations between mental health symptoms, trauma, quality of life and coping in adults living in Ukraine: A cross-sectional study a year after the 2022 Russian invasion.

We aimed to assess the mental health of adults living in Ukraine one year after onset of the Russo-Ukrainian war, along with quality of life and coping strategies. Quota sampling was used to collect online survey data from 2364 adults aged 18-79 years living in Ukraine from April 5, 2023 to May 15, 2023. Among adults living in Ukraine, 14.4 % had probable post-traumatic stress disorder (PTSD), another 8.9 % had complex PTSD (CPTSD), 44.2 % had probable depressive disorder, 23.1 % had anxiety disorder and 38.6 % showed significant loneliness. In adjusted models, the number of trauma events experienced during the war showed a dose-response association with PTSD/CPTSD and was associated with depressive disorder and anxiety disorder. Quality of life domains, particularly physical quality of life, were negatively associated with PTSD/CPTSD, depressive disorder, anxiety disorder, and number of trauma events. Maladaptive coping was positively associated with depressive disorder, anxiety disorder, PTSD/CPTSD and loneliness. All quality of life domains were positively associated with using adaptive coping strategies. Mental health disorders are highly prevalent in adults living in Ukraine one year into the war. Policy and services can promote adaptive coping strategies to improve mental health and quality of life for increased resilience during war.

Consequence of child and adolescent depressive symptom trajectories for adult depressive disorders and symptoms: A systematic review & meta-analysis.

BACKGROUND: Group differences in longitudinal patterns of child and adolescent depressive symptoms are commonly observed. However, the implications for adult mental health are unclear. This study presents a systematic review of child and adolescent depressive symptom trajectory research and meta-analysis of their longitudinal effects on adult depressive symptoms and disorders. METHODS: A systematic search identified 12 longitudinal studies (12 cohorts, N = 35,058) that were harmonized to identify common symptom trajectories prior to age 18 years. Examination of follow-up in the same groups was made (at average age 20.5 years) to estimate longitudinal associations with adult depressive symptoms (Sx) and disorders (Dx), using random effects meta-analyses. RESULTS: The included studies identified Low (70.3 %), Moderate (17.9 %), High (9.5 %), Increasing (9.5 %) and Decreasing (5.1 %) symptom trajectories. These trajectories were found to predict variation in symptoms and disorders in adulthood: Low, Dx = 4.5 %, 95 % Confidence Interval [CI] 2.7-6.8 %, Sx [Mean] = 8.33, Standard Deviation [SD] = 6.30; Moderate, Dx = 20.9 %, CI 11.9-31.5 % - Sx = 18.13, SD = 3.38; High, Dx = 34.4 % CI 17.2-54.0 % - Sx = 38.80, SD = 7.75; Increasing, Dx = 38.3 %, CI 12.7-67.5 % - Sx = 24.73, SD = 18.64; Decreasing, Dx = 15.4 %, CI 10.5-20.9 % - Sx = 17.00, SD = 12.18. LIMITATIONS: Confidence intervals are wide for some trajectory effects. There was significant between-cohort heterogeneity in predictive effects for High trajectories, suggesting the need for further research to identify characteristics influencing variation. CONCLUSION: Low symptom trajectories forecast lower adult depression symptoms and disorders. Programs effectively targeting reductions in Moderate, High, Increasing and Decreasing trajectories will likely prevent problems in early adulthood.

Subcortical volumes in offspring with a multigenerational family history of depression - A study across two cohorts.

BACKGROUND: Having multiple previous generations with depression in the family increases offspring risk for psychopathology. Parental depression has been associated with smaller subcortical brain volumes in their children, but whether two prior generations with depression is associated with further decreases is unclear. METHODS: Using two independent cohorts, 1) a Three-Generation Study (TGS, N = 65) with direct clinical interviews of adults and children across all three generations, and 2) the Adolescent Brain Cognitive Development Study (ABCD, N = 10,626) of 9-10 year-old children with family history assessed by a caregiver, we tested whether having more generations of depression in the family was associated with smaller subcortical volumes (using structural MRI). RESULTS: In TGS, caudate, pallidum and putamen showed decreasing volumes with higher familial risk for depression. Having a parent and a grandparent with depression was associated with decreased volume compared to having no familial depression in these regions. Putamen volume was associated with depression at eight-year follow-up. In ABCD, smaller pallidum and putamen were associated with family history, which was driven by parental depression, regardless of grandparental depression. LIMITATIONS: Discrepancies between cohorts could be due to interview type (clinical or self-report) and informant (individual or common informant), sample size or age. Future analyses of follow-up ABCD waves will be able to assess whether effects of grandparental depression on brain markers become more apparent as the children enter young adulthood. CONCLUSIONS: Basal ganglia regional volumes are significantly smaller in offspring with a family history of depression in two independent cohorts.

Transition and trend analysis of the burden of depression in China and different income countries: Based on GBD database and joinpoint regression model.

BACKGROUND: Depression is a leading cause of disability and poor health worldwide and is expected to rank first worldwide by 2030. The aim of this study is to analyze the transition and trend of depression burden in China and various income-level countries by utilizing the Global Burden of Disease (GBD) database and the Joinpoint regression model. This analysis seeks to comprehend the variations in the burden of depression across different income regions and evaluate their developmental patterns. METHODS: Based on the GBD 2019 open dataset, this study extracted data on YLD (Years Lived with Disability), DALY (Disability-Adjusted Life Years), and incidence related to depression. The analysis focused on the period between 1990 and 2019, covering global data and distinguishing between high-income, upper-middle-income, lower-middle-income, low-income countries, and China. We utilized the Joinpoint regression model to fit the spatiotemporal trend changes among different income-level countries. Pairwise comparisons were conducted to examine the parallelism and to determine if the differences in trend changes among various regions were statistically significant. RESULTS: From 1990 to 2019, the age-standardized YLD and DALY for depression female were higher than that in male. The YLD total change rate of depression men was higher than that of women. China exhibited the largest disparity in total YLD change rates between genders, reaching 0.08. During 1990 to 2019, the incidence of depression in 2005-2019 increased among females in middle to high-income countries, low-income countries, and China as compare to that of 1990-2005. Notably, China shown the most increase the incidence rate of females (from -0.4 % to 0.84 %). China experienced the most significant change in the YLD of depression during this period (AAPC = 0.45, 95 % CI = 0.41, 0.48, P < 0.01). China's YLD/Incidence rate was higher compared to the global, HICs, UMCs, LMCs, and LICs. In China, the YLD/incidence rate of depression began to rise in 1994, peaking around 2010, and then gradually declining. Since 2010, the growth rate of depression DALYs in China has been higher than the global average, high-income countries, upper-middle-income countries, lower-middle-income countries, and low-income countries. The DALY's AAPC value for the HLCs was the highest (AAPC = 0.24, 95 % CI = 0.22, 0.25, P < 0.01). The UMCs, in comparison to other regions, incidence rate had the highest AAPC value (AAPC = 0.48, 95 % CI = 0.46, 0.50, P < 0.01). CONCLUSIONS: Given the significant variations in the burden of depression across countries with different income levels, future strategies aimed at reducing the burden of depression should adopt tailored and differentiated approaches according to each country's specific needs and developmental stages.