Elevated Risk Of Depression Research Articles

Maternal contingent responses to distress facilitate infant soothing but not in mothers with depression or infants high in negative affect.

Depression in mothers is consistently associated with reduced caregiving sensitivity and greater infant negative affect expression. The current article examined the real-time behavioral mechanisms underlying these associations using Granger causality time series analyses in a sample of mothers (N = 194; 86.60% White) at elevated risk for depression and their 3-month-old infants (46.40% female) living in a major metropolitan area in the United States. Overall, mothers contingently responded to infant distress, and mothers' responses to infant distress increased the likelihood of infant soothing in real time. However, there was no evidence for maternal contingent responding or facilitation of infant soothing in subsamples of mothers who were currently experiencing elevated depression symptoms or in mothers of highly negative infants. These findings suggest real-time behavioral mechanisms by which risks for maladaptive self-regulation may develop. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Constipation preceding depression: a population-based cohort study

Constipation is generally considered a common physical symptom of depression or a side effect of antidepressant treatments. However, according to the gut-brain axis hypothesis, the association between depression and constipation might be bi-directional. This study investigated the association between premorbid constipation and depression. We conducted a retrospective cohort study using data from UK Biobank. Individuals free of depression between 2006 and 2010 were included. Constipation status was determined using diagnostic codes from electronic health records or a baseline questionnaire. Data on covariates, including socio-demographic characteristics, lifestyle factors, health conditions, and regular medication use, were also collected through a baseline questionnaire. The primary outcome is incident depression, which was extracted from hospital inpatient admissions, primary care, self-report, and death data from baseline to 2022. The secondary outcome is depressive symptoms, which was assessed by Patient Health Questionnaire-9 (PHQ-9) from an online survey in 2016. Cox proportional hazard regression models were employed to assess the prospective association between constipation and incident depression. Logistic regression models were used to assess its association with depressive symptoms. Among the 449,459 participants included in the study, 18,596 (4.1%) experienced constipation at baseline, and 18,576 (4.1%) developed depression over a median follow-up period of 12.3 years. Premorbid constipation is associated with a 2.28-fold higher risk of depression. After adjusting the covariates, we found those with constipation still had a 48% higher risk of developing depression (adjusted hazard ratio [aHR] 1.48; 95% CI, 1.41-1.56) than those without constipation. Self-reported and diagnosed constipation were both associated with a higher risk of depression, with the aHR being 1.42 (95% CI: 1.34-1.51) and 1.66 (95% CI: 1.51-1.82), respectively. Participants with constipation were more likely to report depressive symptoms than people without (adjusted odds ratio 2.18; 95% CI, 1.97-2.43). These findings remained consistent in sensitivity analyses. Diagnosed and self-reported constipation are both prospectively associated with an elevated risk of depression. These explorative findings suggest that constipation may be an independent risk factor or a prodromal symptom of depression. Gastroenterologists and primary care physicians should pay more attention to the depressive symptoms of their constipation patients. The Shenzhen Science and Technology Program and the Strategic Priority Research Program of Chinese Academy of Sciences.

Association of cardiometabolic multimorbidity with risk of late-life depression: a nationwide twin study.

Cardiometabolic diseases (CMDs) including heart disease, stroke, and type 2 diabetes have been individually linked to depression. However, their combined impact on depression risk is unclear. We aimed to examine the association between cardiometabolic multimorbidity and depression and explore the role of genetic background in this association. Within the Swedish Twin Registry, 40,080 depression-free individuals (mean age 60years) were followed for 18years. Cardiometabolic multimorbidity was defined as having ≥2 CMDs. CMDs and depression were ascertained based on the National Patient Register. Cox regression was used to estimate the CMD-depression association in a classical cohort study design and a matched co-twin design involving 176 twin pairs. By comparing the associations between monozygotic and dizygotic co-twins, the contribution of genetic background was estimated. At baseline, 4809 (12.0%) participants had one CMD and 969 (2.4%) had ≥2 CMDs. Over the follow-up period, 1361 participants developed depression. In the classical cohort design, the multi-adjusted hazard ratios (95% confidence interval [CIs]) of depression were 1.52 (1.31-1.76) for those with one CMD and 1.83 (1.29-2.58) for those with ≥2 CMDs. CMDs had a greater risk effect on depression if they developed in mid-life (<60years) as opposed to late life (≥60years). In matched co-twin analysis, the CMD-depression association was significant among dizygotic twins (HR=1.63, 95% CI, 1.02-2.59) but not monozygotic twins (HR=0.90, 95% CI, 0.32-2.51). Cardiometabolic multimorbidity is associated with an elevated risk of depression. Genetic factors may contribute to the association between CMDs and depression.

The causal relationship between antihypertensive drugs and depression: a Mendelian randomization study of drug targets.

Depression ranks as a leading contributor to the global disease burden. The potential causal relationship between the use of antihypertensive medications and depression has garnered significant interest. Despite extensive investigation, the nature of this relationship remains a subject of ongoing debate. Therefore, this study aims to evaluate the influence of antihypertensive medications on depression by conducting a Mendelian randomization study focused on drug targets. We focused on the targets of five antihypertensive drug categories: ACE Inhibitors (ACEIs), Angiotensin II Receptor Antagonists (ARBs), Calcium Channel Blockers (CCBs), Beta-Blockers (BBs), and Thiazide Diuretics (TDs). We collected single-nucleotide polymorphisms (SNPs) associated with these drug targets from genome-wide association study (GWAS) statistics, using them as proxies for the drugs. Subsequently, we conducted a Mendelian randomization (MR) analysis targeting these drugs to explore their potential impact on depression. Our findings revealed that genetic proxies for Beta-Blockers (BBs) were associated with an elevated risk of depression (OR [95%CI] = 1.027 [1.013, 1.040], p < 0.001). Similarly, genetic proxies for Calcium Channel Blockers (CCBs) were linked to an increased risk of depression (OR [95%CI] = 1.030 [1.009, 1.051], p = 0.006). No significant associations were identified between the genetic markers of other antihypertensive medications and depression risk. The study suggests that genetic proxies associated with Beta-Blockers (BBs) and Calcium Channel Blockers (CCBs) could potentially elevate the risk of depression among patients. These findings underscore the importance of considering genetic predispositions when prescribing these medications, offering a strategic approach to preventing depression in susceptible individuals.

Associations among early life adversity, sleep disturbances, and depressive symptoms in adolescent females and males: a longitudinal investigation.

Exposure to adversity early in life (ELA) has been associated with elevated risk for depression during adolescence, particularly for females; the mechanisms underlying this association, however, are poorly understood. One potential mechanism linking ELA and sex differences in depressive symptoms is sleep disturbances, which increase during adolescence and are more common in females. Here, we examined whether sleep disturbances mediate the association between ELA and increases in depressive symptoms during adolescence and whether this mediation differs by sex. 224 (N = 132 females) youth were recruited at age 9-13 years and assessed every 2 years across three timepoints. At the first timepoint, we conducted extensive interviews about stressful events participants experienced; participants provided subjective severity ratings of events and we objectively scored the severity of each event. Self-reported sleep disturbances and depressive symptoms were assessed at all timepoints. We conducted linear mixed models to estimate both initial levels and changes in sleep disturbances and depressive symptoms, and moderated mediation analyses to test whether initial levels and/or changes in sleep disturbances mediated the association of ELA (objective and subjective) with increases in depressive symptoms across adolescence and whether the mediations differed by sex. While higher initial levels and increases in sleep problems were uniquely associated with increases in depressive symptoms for males and females, they were related to ELA differently by sex. For females, greater ELA (both objectively and subjectively rated) was associated with higher initial levels of sleep problems, which in turn were associated with increases in depressive symptoms from early to late adolescence. In contrast, for males, ELA exposure was not associated with either initial levels of, or increases in, sleep problems. These findings highlight the role of sleep disturbances during the transition to adolescence in mediating sex differences in the effects of ELA on depressive symptoms.

Joint association of heavy metals and polycyclic aromatic hydrocarbons exposure with depression in adults

BackgroundHeavy metals (HMs) and polycyclic aromatic hydrocarbons (PAHs) represent significant components of environmental pollution, typically occurring as mixtures, raising concerns about their potential impact on human health. However, the combined effect of HMs and PAHs exposure on depression has not been explored. MethodsLeveraging National Health and Nutrition Examination Survey (NHANES) data spanning 2005 to 2016, we employ survey-weighted multiple logistic regression models to probe the interrelation between HMs, PAHs, and depression. This exploration is complemented by age and gender-stratified analyses, as well as a determination of the dose-response linkage via restricted cubic spline regression. Furthermore, the combined impact of HMs and PAHs on depression was evaluated through a range of statistical methodologies. ResultsThe study encompasses 7732 adults. Our findings unveil notable associations, indicating the significant influence of cadmium (Cd), lead (Pb), and all six PAHs metabolites on depression. Moreover, mixed exposure to HMs and PAHs emerges as a substantial contributor to an augmented depression risk, with Cd, Pb, 1-hydroxynaphthalene (1-NAP), 2-hydroxyfluorene (2-FLU), and 1-hydroxypyrene (1-PYR) likely driving this positive relationship. Intriguingly, subgroup analyses highlight greater prominence of these connections among individuals aged 20–59 and among women. Furthermore, the results tentatively suggest a potential interplay between Cd and 2-NAP in relation to depression. ConclusionThis study posits that exposure to both individual and combined HMs and PAHs may be associated with an elevated risk of depression. Further prospective investigations are warranted to substantiate these findings.

Knowledge, psychological impacts, and protective behaviours during the first wave of the COVID-19 pandemic among Chinese residents in Canada with dependent school-age children: a cross-sectional online study

Abstract Background The purpose of this study was to describe the knowledge, protective behaviours, and psychological impact of COVID-19 on Chinese residents in Canada, as the emotional and behavioural impacts of the pandemic have not been intensively studied amongst these populations. It was important to determine whether having dependent school-age children (DSAC) aged 16 or under was associated with adverse psychological impacts amongst the Chinese residents living in the country. Methods In April 2020, 757 eligible participants were recruited through a snowball sampling to complete an online survey related to the COVID-19 pandemic. Psychological, behavioural, and sociodemographic variables were collected and first analyzed using descriptive and univariate statistics. Multiple logistic regression analyses were performed to further confirm the observed significant associations in bivariate analyses for selected psychological outcome variables. Results Seven hundred forty-two participants who responded to the “dependent school-age children” question were included in the analysis. Most of them identified as females (65.8%) and 77.2% included receiving a university degree or higher. There were no significant differences in COVID-19 knowledge between those living with or without DSAC. However, participants with DSAC were more likely to perceive themselves as being at greater risk of contracting COVID-19 (p = .023); therefore, having a higher chance of adopting protective behaviours (e.g., hand washing, sanitizing frequently or disinfecting work and living spaces (p &lt; .05), elevated risks of depression (p = .007), and stress (p = .010), compared to those without DSAC. Conclusions Predominantly, the Chinese residents in Canada with dependent school-age children were more likely to report the negative psychological impacts of the pandemic. These findings warrant further investigations that may contribute to informing key stakeholders about the identification and implementation of policies and interventions to support the needs of parents with young children, during and after the pandemic.

Interpersonal Trauma Effects on Adolescent Depression: The Moderating Role of Neurophysiological Responses to Positive Interpersonal Images.

Trauma exposure is associated with a heightened risk for depression and such risk is thought to vary based on the type of traumatic events (e.g., interpersonal, including abuse and domestic violence, or non-interpersonal, including accidents or natural disasters). Depression is often accompanied by altered emotional reactivity, and the late positive potential (LPP) serves as a reliable neurophysiological measure of sustained attention towards emotional stimuli, raising questions regarding the role of the LPP in moderating trauma effects on depression. We conducted a cross-sectional study of 201 adolescents aged 14-17years (61.2% female) who were oversampled for current depression and elevated risk of depression based on maternal history. Clinical interviews were conducted to assess diagnoses and lifetime trauma exposure, and participants reported on current depressive symptoms. Electroencephalogram (EEG) was continuously recorded while participants completed a previously validated interpersonal emotional images task. Cumulative trauma (CT) and interpersonal trauma (IPT) were both associated with greater depressive symptoms, but non-interpersonal trauma (NIPT) was not significantly related to depressive symptoms. The association between IPT and depressive symptoms was moderated by the LPP to positive interpersonal images, such that IPT-exposed adolescents with blunted neural responses to such images showed the greatest symptoms. This result was specific to IPT, and the LPP to threatening interpersonal images did not significantly moderate the effects of IPT on depressive symptoms. These findings highlight the unique effects of interpersonal trauma on depressive symptoms and elucidate a potential vulnerability linking trauma exposure to depression risk among adolescents.

Coronavirus disease 2019 is associated with long-term depressive symptoms in Spanish older adults with overweight/obesity and metabolic syndrome.

The coronavirus disease 2019 (COVID-19) has serious physiological and psychological consequences. The long-term (>12 weeks post-infection) impact of COVID-19 on mental health, specifically in older adults, is unclear. We longitudinally assessed the association of COVID-19 with depression symptomatology in community-dwelling older adults with metabolic syndrome within the framework of the PREDIMED-Plus cohort. Participants (n = 5486) aged 55-75 years were included in this longitudinal cohort. COVID-19 status (positive/negative) determined by tests (e.g. polymerase chain reaction severe acute respiratory syndrome coronavirus 2, IgG) was confirmed via event adjudication (410 cases). Pre- and post-COVID-19 depressive symptomatology was ascertained from annual assessments conducted using a validated 21-item Spanish Beck Depression Inventory-II (BDI-II). Multivariable linear and logistic regression models assessed the association between COVID-19 and depression symptomatology. COVID-19 in older adults was associated with higher post-COVID-19 BDI-II scores measured at a median (interquartile range) of 29 (15-40) weeks post-infection [fully adjusted β = 0.65 points, 95% confidence interval (CI) 0.15-1.15; p = 0.011]. This association was particularly prominent in women (β = 1.38 points, 95% CI 0.44-2.33, p = 0.004). COVID-19 was associated with 62% increased odds of elevated depression risk (BDI-II ≥ 14) post-COVID-19 when adjusted for confounders (odds ratio; 95% CI 1.13-2.30, p = 0.008). COVID-19 was associated with long-term depression risk in older adults with overweight/obesity and metabolic syndrome, particularly in women. Thus, long-term evaluations of the impact of COVID-19 on mental health and preventive public health initiatives are warranted in older adults.

Association of formaldehyde concentration with depression risk in US adults: a population-based epidemiology study.

The association of formaldehyde exposure with depression remains unknown. We used the data fromNational Health and Nutrition Examination Survey (NHANES) 2015-2016to evaluate the association between formaldehyde exposure and depression. Multivariable logistic regressions and restricted cubic spline (RCS) were implemented to examine the association between formaldehyde exposure and depression. A total of 1336 participants were included in the analysis, of which 110 (8.23%) participants were depressed. After adjusting for confounders, a significant association between formaldehyde exposure and depression (OR = 1.01, 95% CI: 1.00-1.02, P = 0.043) was observed. The RCS plot showed a positive association in a linear manner (PNonlinear = 0.109), and the risk began to rise rapidly with concentrations above 129.37nmol/g HB. The positive association remained in participants with high-intensity physical activity (OR = 1.08, 95% CI: 1.02-1.13, P = 0.003), but not in participants with other physical activities. Moreover, we constructed a novel nomogram to easily estimate the individual-specific probabilities of depression. In conclusion, formaldehyde exposure was associated with an elevated risk of depression, and the effect exhibited differences in participants with different levels of physical activity.

Weekend warrior physical activity pattern is associated with lower depression risk: Findings from NHANES 2007–2018

ObjectiveThis study aimed to explore the association between weekend warrior physical activity (PA) pattern and depression risk in American adults. MethodsData of adults (n = 21,125) from NHANES 2007–2018 were used. Adults were categorized into 4 PA patterns (inactive, insufficiently active, weekend warrior, and regularly active) by self-reported PA levels. Participant characteristics in different groups were tested using the Rao & Scott adjusted χ2 test. Multivariate logistic regression models with adjustment for demographics data, behavioral factors and health condition were used to explore the association between PA patterns and depression risk. Finally, interaction analyses were conducted to test if the associations differ by gender, age, race, education level, income level and marital status. ResultsMultivariate logistic regression models showed that insufficiently active, weekend warrior and regularly active adults had 31% (OR: 0.69, 95%CI:0.54–0.88), 57% (OR: 0.43, 95%CI:0.25–0.74) and 54% (OR: 0.46, 95%CI:0.39–0.54) reduced depression risk when compared with inactive adults, respectively. When compared with regularly active adults, inactive (OR: 2.188, 95%CI:1.842–2.600) and insufficiently active (OR: 1.505, 95%CI:1.159–1.955) adults had elevated depression risk, but no significant difference was found between weekend warrior (OR: 0.949, 95%CI:0.538–1.675) and regularly active adults. Moreover, the associations did not differ by demographic variables. ConclusionsThis study showed that adults who engaged in either regularly active pattern or weekend warrior pattern, experienced lower risk of depression compared to inactive adults. Weekend warrior and regularly active patterns showed similar benefits for lowering depression risk in adults, encouraging adults to take up PA in limited sessions.

A study on the depression status of pediatric standardized training residents in COVID-19

Objective: To analyze the depression status of pediatric standardized training residents in COVID-19.Methods: The depression status of pediatric residents undergoing standardized training at the First Affiliated Hospital of Yangtze University was investigated using the Self-rated Depression Scale (SDS). Statistical analysis was conducted using R version 3.5.3.Results: The prevalence of depression was found to be 66.6%. However, no significant statistical associations were observed between depression and various demographic factors, including gender, age, emotional status, educational background, possession of a professional doctor certificate, and monthly income.Conclusions: The incidence of depressive symptoms amongst pediatric residents undergoing standardized training during the COVID-19 pandemic is substantial, placing them at an elevated risk for depression.

Levels and predictors of postpartum depression and anxiety during the first year of the COVID-19 pandemic in a confined cross-border city

Pregnancy and/or the puerperium involve social, physiological and psychological changes that make women more vulnerable to mental disorders such as anxiety and depression, even more so if these develop in stressful contexts such as the pandemic. The aim of this study is to identify factors associated with the risk of postpartum anxiety and depression during the COVID-19 pandemic. A cross-sectional study was conducted among postpartum women (n = 69) who gave birth between March 2020 and March 2021 in Melilla, a Spanish cross-border city with Morocco whose borders were closed, making it a confined city. The scales used were the State-Trait Anxiety Inventory and the Edinburgh Postnatal Depression Scale. Results reported an elevated risk of depression (85.5%) and anxiety (63.8%), with severe anxiety reaching 40.6% of cases. Predictors of postpartum depression comprised a personal history of mood disorders (β = 8.421; CI95% = 4.863/11.978) and having been diagnosed with COVID-19 during pregnancy or postpartum (β = 4.488; CI95% = 1.331/7.646). As regards anxiety, it is predicted on the basis of mood antecedents (β = 14.175; CI95% = 7.870/20.479), the fact of having been diagnosed with COVID-19 during pregnancy or postpartum (β = 8.781; CI95% = 2.970/14.592) and the fact of being a multipara (β = 5.513; CI95% = 0.706/10.321). In conclusion, special attention should be paid to women with a history of mood disorders and a positive diagnosis of COVID-19 during pregnancy or postpartum, even more so in the case of multiparous women, because of its impact on mental health during the postpartum period.

Obesity as a causal risk factor for depression: Systematic review and meta-analysis of Mendelian Randomization studies and implications for population mental health

Background/objectivesObesity has been associated with elevated risk of depression. If this association is causal, the increasing obesity prevalence might lead to worsening population mental health, but the strength of the causal effect has not been systematically evaluated. Subjects/methodsThe current study provides a systematic review and meta-analysis of studies examining associations between body mass index and depression using Mendelian randomization with multiple genetic variants as instruments for body mass index. We used this estimate to calculate the expected changes in prevalence of population psychological distress from the 1990s–2010s, which were compared with the empirically observed trends in psychological distress in the Health Survey for England (HSE) and U.S. National Health Interview Surveys (NHIS). ResultsMeta-analysis of 8 Mendelian randomization studies indicated an OR = 1.33 higher depression risk associated with obesity (95% confidence interval 1.19, 1.48). Between 15% and 20% of the participants of HSE and NHIS reported at least moderate psychological distress. The increase of obesity prevalence from the 1990s–2010s in HSE and NHIS would have led to a 0.6 percentage-point increase in population psychological distress. ConclusionsMendelian randomization studies suggest that obesity is a causal risk factor for elevated risk of depression. The increasing obesity rates may have modestly increased the prevalence of depressive symptoms in the general population. Mendelian randomization relies on methodological assumptions that may not always hold, so other quasi-experimental methods are needed to confirm the current conclusions.

Applying Functional Imaging to Clinical Practice: Are We Making Progress Toward Its Promise?

Applying Functional Imaging to Clinical Practice: Are We Making Progress Toward Its Promise?

Association of time spent in outdoor light and genetic risk with the incidence of depression

Depression is the consequence of both environment and genes working together. Genetic factors increase depression risk, but it is unclear whether this association can be offset by time spent in outdoor light. The study was undertaken to investigate the optimal time spent in outdoor light for lowering the risk of depression and the joint association of time spent in outdoor light and depression genetic risk. In UK Biobank, 380,976 depression-free individuals were included in this study. Polygenic risk score (PRS) was categorized into three groups in terms of tertiles. Time spent in outdoor light on a typical day in summer or winter originated from the questionnaire survey. Depression was defined as hospital admission. The potential dose-response relationship between time spent in outdoor light and depression risk was shown by a restricted cubic spline. Data were analyzed using Cox regressions and Laplace regression. After the median follow-up of 12.6 years, 13,636 individuals suffered from depression in the end. A nonlinear (J-shaped relationship) trend was observed between time spent in outdoor light and depression risk. On average, 1.5 h/day of outdoor light was related to the minimum risk of depression. Individuals below and above this optimal time both had elevated depression risk (below, HR = 1.09, 95% CI: 1.02–1.16; above, HR = 1.13, 95% CI: 1.07–1.20), and the time to incident depression were both shortened by 0.46 years (50th percentile differences [PD] = −0.46, 95% CI: −0.78, −0.14) and 0.63 years (50th PD = −0.63, 95% CI: −0.90, −0.35) years, respectively. In a comparison of individuals with the lowest tertile of PRS and average 1.5 h/day outdoor light, the HRs and 95% CIs of depression were 1.36 (1.21–1.53) and 1.43 (1.29–1.58) in those with the highest tertile of PRS and below/above this reference value, respectively. Significant multiplicative interactions were observed between intermediate genetic risks and longer time spent in outdoor light. We found that an average of 1.5 h/day spent in outdoor light was associated with a lower depression risk whatever the degree of depression genetic predisposition. Moderate time spent in outdoor light may contribute to a decreased depression risk even among people with a higher genetic risk of depression.

Associations of road traffic noise and its frequency spectrum with prevalent depression in Taichung, Taiwan.

Exposure to road traffic noise has been reported to be associated with depression in many epidemiological studies, but the association between noise frequency spectrum and depression remains unclear. This community-based study investigated the associations between road traffic noise exposure and its frequency components with prevalent depression. A total of 3,191 residents living in Taichung who participated in the Taiwan Biobank between 2010 and 2017, were included as study participants. The land-use regression models were used to evaluate individual annual average values of A-weighted equivalent sound level over 24 h (Leq,24h) and particulate matter with an aerodynamic diameter <2.5 μm (PM2.5) using the geographic information system. Multiple logistic regression was applied to estimate the odds ratios (ORs) for depression after adjusting for potential risk factors and PM2.5. An interquartile range increase in Leq,24h at full frequency (4.7 dBA), 1,000 Hz (5.2 dB), and 2,000 Hz (4.8 dB) was significantly associated with an elevated risk for depression with ORs of 1.62 (95% confidence interval [CI]: 1.03, 2.55), 1.58 (95% CI: 1.05, 2.37), and 1.58 (95% CI:1.03, 2.43), respectively, by controlling for PM2.5. The high-exposure group (≥3rd quartile median of noise levels) at full frequency, 1,000 Hz, and 2,000 Hz had an increased risk for depression with ORs of 2.65 (95% CI: 1.16-6.05), 2.47 (95% CI: 1.07-5.70), and 2.60 (95% CI: 1.10-6.12), respectively, compared with the reference group (<1st quartile of noise levels) after adjustment for PM2.5. Significant exposure-response trends were observed between the prevalent depression and noise exposure by quartiles at full frequency, 1,000 Hz, and 2,000 Hz (all p < 0.05). Exposure to road traffic noise may be associated with an increased prevalence of depression, particularly at 1,000 and 2,000 Hz.

Role of nutrition in depression and other mental illnesses

Nutrients, foods, and dietary components have a significant role in the development and maintenance of depressive disorders as well as the intensity of depression symptoms. Nutritional elements may alter the biomarkers linked to depression and may also influence the onset of depression, obesity, and diabetes. Recent research has identified novel mediators of mood fluctuations and energy balance that operate the gut-brain networks. In this context, a number of healthy foods including olive oil, fish, fruits, vegetables, nuts, legumes, poultry, dairy, and unprocessed meat, have been shown to have a negative correlation with the risk of depression and may even help with the symptoms of depression. The use of sweetened beverages, processed foods, fried foods, processed meat, refined grains, high-fat dairy products, biscuits, snacks, and pastries, on the other hand, has been linked in longitudinal studies to an elevated risk of depression. Nevertheless, it is usually challenging to draw a firm conclusion about a true prospective causal association from this primarily retrospective research since depressed people may also alter their eating habits incidentally as a result of their sadness. Additionally, it has been suggested that some dietary substances, including as calcium, chromium, folate, PUFAs, vitamin D, B12, zinc, magnesium, and D-serine, might be utilised as add-on treatments with antidepressants. In this situation, food and lifestyle changes may be a desired, practical, effective, and non-stigmatizing depression preventive and treatment option. In early randomized controlled clinical studies, a number of drugs that have historically been used to treat metabolic disorders—including pioglitazone, metformin, exenatide, atorvastatin, and gram-negative antibiotics showed some promise for treating depression.

The psychological impact of COVID-19 among newly diagnosed patients with breast cancer when cancer care was returning to normal.

We aim to evaluate anxiety, depression and fear of cancer progression in newly diagnosed patients with breast cancer when cancer care was returning to normal after COVID-19 by comparing them with the pre-COVID patients and explore the association of worries about further cancer care and loneliness with them. Two hundred and eighteen newly diagnosed patients with breast cancer during the pandemic were surveyed using questionnaires, and 153 patients before the pandemic were included in the control group. Logistic regression analyses were used. There were 51.8%, 44.0% and 30.7% of patients during the pandemic reported anxiety symptoms, depressive symptomsand clinically significant fear of cancer progression, respectively. The risks of anxiety symptoms (OR 2.24, 95% CI 1.43-3.51), depressive symptoms (1.61, 1.04-2.50)and clinically significant fear of cancer progression (4.65, 2.49-8.70) were higher in patients during the pandemic than pre-COVID patients. Worries about further cancer care and loneliness were associated with 1.40-2.52 times higher risks of these psychological problems among the patients during the pandemic. The newly diagnosed patients with breast cancer during COVID-19 are at elevated risks of depression, anxiety and fear of cancer progression, and those who are worried about further cancer care and felt loneliness during the pandemic were more likely to experience psychological problems.

Elevated risk of depression and anxiety disorder by „high strain“ occupations: a systematic review

Abstract Background Poor working conditions might lead to mental illness. Methods We performed a systematic review with meta-analyses as an update of a review published in 2013. We registered the study protocol with PROSPERO (registration number: CRD42020170032) and searched for epidemiological studies in MEDLINE, PsycINFO, and Embase. Two reviewers carried out independently all review steps including title-abstract screening, full-text screening, risk-of-bias assessment and data extraction. Discordances were solved by consensus. We determined the certainty of evidence using the GRADE-approach. Results Ten cohort studies with acceptable study quality examined the relationship between high job strain and the incidence of depression. In the “classic” demand-control-model, ‘high strain’ (combination of high demands and low control) is compared with ‘low strain’ (combination of low demands and high job control). For high strain, the risk of depression was elevated by 73%, the pooled effect estimate for the risk of depression was 1.73 (95% CI 1.32-2.27. In a dichotomous analysis (without dividing job strain into the four dimensions mentioned above), there was a doubled risk of depression with high job strain (pooled effect estimate=1.99, 95% CI 1.68-2.35). We found comparable risk estimates for men and women. The GRADE assessment revealed a high certainty of evidence of the association between job strain and depression. We also found a considerably increased risk of anxiety disorder among individuals prone to high job strain. Conclusions This systematic review finds a clear association between high job strain (high demands in combination with low control) and depression as well as anxiety disorders. Acknowledgment: This study was financially supported by SUVA (Schweizerische Unfallversicherungsanstalt). Key messages