Higher Risk Of Depression Research Articles

Factors associated with depression during pregnancy in women receiving high- and low-risk prenatal care: a predictive model.

Depression during pregnancy can put strain on pregnant women's interpersonal relationships, the formation of emotional bonds with the fetus, and the adaptation to the new routine and social role post-pregnancy. Some studies have associated socioeconomic factors, emotional factors, interpersonal relationships, perceived social support, gestational risk, and the occurrence of certain diseases during pregnancy with higher risk of depression. This study aimed to investigate the prevalence of depression during pregnancy and associated factors in low- and high-risk prenatal patients at a Brazilian university hospital. This study presents a retrospective and prospective cross-sectional design. A total of 684 prenatal psychological analysis records from a Brazilian tertiary university service were retrospectively evaluated to assess depression through the PRIME-MD questionnaire between 2002-2017. Between 2017 and 2018, 76 patients treated at the same service were prospectively evaluated with the aforementioned instrument. Medical records were accessed to obtain labor and birth data. Multivariate analyses assessed the association between sociodemographic, gestational or obstetric, and health variables and the presence of depression during pregnancy. A total of 760 pregnant women were included in the study, with a depression prevalence of 20.66% (n = 157). At the time of assessment, 48 (21.05%) women from the low-risk pregnancy group and 109 (20.49%) from the high-risk pregnancy group were depressed. The mean age was 30.01 ± 6.55 years in the group with depression and 29.81 ± 6.50 years in the group without depression. In the univariate analysis, there was an association of risk for depression with absence of paid work, absence of a partner, low family income and diagnosis of epilepsy, being a protective factor the presence of diabetes during pregnancy. However, in the multivariate analysis, a lower family income, not having a partner at the time of the assessment, and the prevalence of epilepsy were independently associated with an increased risk of depression during pregnancy. This study showed that 1 in 5 women had depression during pregnancy, with no association with obstetric risk, but those women living in unfavorable economic conditions, without a partner, and having epilepsy were at increased risk of depression.

Causal relationships between psychological disorders and functional gastrointestinal disorders: a bidirectional two-sample Mendelian randomization study.

Observational studies have shown bidirectional associations between psychological disorders (e.g. depression and anxiety) and functional gastrointestinal disorders. However, whether the relationships are causal is uncertain. Here, we used a bidirectional two-sample Mendelian randomization method to investigate the association between psychological disorders and functional gastrointestinal disorders (FGIDs). We obtained genome-wide association study summary statistics for two common psychological disorders: depression (170 756 cases) and anxiety (31 977 cases), as well as for three common FGIDs: functional dyspepsia with 6666 cases, constipation with 26 919 cases, and irritable bowel syndrome (IBS) with 7053 cases. These summary statistics were retrieved from several publicly available genome-wide association study databases. The inverse variance weighted method was used as the main Mendelian randomization method. Inverse variance weighted Mendelian randomization analyses showed statistically significant associations between genetically predicted depression and risk of functional dyspepsia [odds ratio (OR): 1.40, 95% confidence interval (CI): 1.08-1.82], constipation (OR: 1.28, 95% CI: 1.13-1.44), and IBS (OR: 1.51, 95% CI: 1.37-1.67). Genetically predicted anxiety was associated with a higher risk of IBS (OR: 1.13, 95% CI: 1.10-1.17) instead of functional dyspepsia and constipation. In addition, genetically predicted IBS instead of functional dyspepsia and constipation was associated with a higher risk of depression (OR: 1.33, 95% CI: 1.12-1.57) and anxiety (OR: 2.05, 95% CI: 1.05-4.03). Depression is a causal risk factor for three common FGIDs. A bidirectional causal relationship between IBS and anxiety or depression was also identified.

The association of the Prime Diet Quality Score (PDQS) with depression and anxiety symptoms: the Isfahan functional disorders (ISFUN) cohort study

ABSTRACT Background: Due to scarce epidemiologic data regarding the Prime Diet Quality Score (PDQS) and mental health disorders, this study aimed to investigate the association of PDQS with depression and anxiety symptoms in Iranian adults. Methods: This cross-sectional analysis was performed using the baseline data collected for the Isfahan functional disorders (ISFUN) cohort study. ISFUN was established in 2017 and enrolled apparently healthy adults, aged 18–65 years in Isfahan, Iran. Information on usual dietary intakes was collected using a validated Dish-based, 106-item food frequency questionnaire. The severity of depression and anxiety was assessed using a validated Iranian version of the Hospital Anxiety and Depression Scale. Results: A total number of1892 participants were enrolled in the present study. In total, 54.50% of subjects were female. In the fully adjusted model, participants with PDQS lower than median compared with those with PDQS higher than median had higher risk of depression (OR = 1.62; 95% CI: 1.11, 2.37) and anxiety (OR: 1.57; 95% CI: 1.08, 2.27). In stratified analysis by sex, males with PDQS lower than median compared with those with PDQS higher than median had greater risk for depressive (OR: 1.57) and anxiety symptoms (OR = 1.52). However, in females, no significant association was found between PDQS and odds of depression, and anxiety in the fully adjusted model. Conclusion: We found evidence indicating a significant inverse association between PDQS and depression and anxiety symptoms among Iranian adults. Further studies, in particular with prospective design, are required to confirm these findings.

Association between tobacco smoke exposure and depression: the NHANES 2005–2018 and Mendelian randomization study

ObjectiveThe relationship between tobacco smoke exposure (TSE) and depression is controversial. This study combined observational research and Mendelian randomization (MR) to explore the relationship of depression with both smoking status and cotinine levels.MethodWe collected relevant data from the National Health and Nutrition Examination Survey (NHANES) database from 2005 to 2018, and used weighted multifactorial logistic regression modelling to assess the correlation between TSE and depression, and assessed the causal relationship of depression with both smoking status and cotinine levels by MR.ResultCurrent smokers had the highest risk of depression (OR 1.94; P < 0.01); there was a positive trend for correlation between daily smoking and depression (OR 1.66; P for trend < 0.01). Serum ketamine levels above 3.00 ng/ml had a higher risk of depression (OR 2.13; P < 0.001). MR results showed that current smoking (OR = 4.66; P < 0.001) and previous smoking (OR 2.09; P < 0.01) were risk factors for the onset of depression, and that there was no causal association between cotinine levels and depression.ConclusionSmoking is significantly associated with depression and plays a potential causal role in the development of depression. Cotinine was significantly associated with depression, however MR results showed no causal relationship between cotinine and depression.

Change in Cardiorespiratory Fitness and Risk of Depression, Anxiety, and Cerebrovascular Disease

IntroductionHigh cardiorespiratory fitness (CRF) has been associated with a lower risk of depression, anxiety, and cerebrovascular disease. The aim was to explore CRF changes over time associated with these outcomes. MethodsThis large-scale prospective cohort study, using data from Swedish population-wide registries and databases (during 1972-2020), included men (n=131,431), with measures of estimated CRF (estCRF) in late adolescence (maximal cycle test) and adulthood (sub-maximal cycle test) (mean years between 24.6, SD 8.8). The study explored how change in estCRF was associated with incident depression, anxiety, and cerebrovascular disease using Cox proportional hazards models. Analyses were performed in 2023. ResultsHigher estCRF in late adolescence and adulthood were associated with a lower risk of incident depression, anxiety, and cerebrovascular disease later in life. For all three outcomes, an increase in estCRF (ml/min/kg and z-score) between the two time points was associated with a lower risk. Further, decreasing from moderate or high estCRF in adolescence to low estCRF in adulthood, compared to staying at a moderate or high level, was associated with a higher risk of depression and anxiety (HR:1.24 95%CI 1.07-1.45 and 1.25 95%CI 1.06-1.49, respectively). Conversely, increasing from moderate to high estCRF was associated with a lower risk of incident anxiety (HR:0.84 95%CI 0.71-0.99). ConclusionsThe findings indicate that there is a longitudinal association between negative change in estCRF and increased risk of depression, anxiety, and cerebrovascular disease later in life. Decreasing levels of estCRF could be a helpful indicator when identifying these disorders at a population level.

Association of total bilirubin with depression risk in adults with diabetes: A cross-sectional study

BACKGROUND Individuals with diabetes mellitus are more likely to experience depression, although most patients remain undiagnosed. The relation between total bilirubin and depression has been increasingly discussed, but limited studies have examined the association of total bilirubin with depression risk in adults with diabetes, which warrants attention. AIM To investigate the association between total bilirubin levels and the risk of depression in adults with diabetes. METHODS The study included adults with diabetes from the National Health and Nutrition Examination Survey 2007-2018. Depression was determined using the Patient Health Questionnaire-9. Multivariable logistic regression, propensity score-matched analysis and restricted cubic spline models were utilized to investigate the association between total bilirubin levels and depression risk in adults with diabetes. RESULTS The study included 4758 adults with diabetes, of whom 602 (12.7%) were diagnosed with depression. After adjusting for covariates, we found that diabetic adults with lower total bilirubin levels had a higher risk of depression (OR = 1.230, 95%CI: 1.006-1.503, P = 0.043). This association was further confirmed after propensity score matching (OR = 1.303, 95%CI: 1.034-1.641, P = 0.025). Subgroup analyses showed no significant dependence of age, body mass index, sex, race or hypertension on this association. Restricted cubic spline models displayed an inverted U-shaped association of total bilirubin levels with depression risk within the lower range of total bilirubin levels. The depression risk heightened with the increasing levels of total bilirubin, reaching the highest risk at 6.81 μmol/L and decreasing thereafter. CONCLUSION In adults with diabetes, those with lower levels of total bilirubin were more likely to have depressive symptoms. Serum total bilirubin levels may be used as an additional indicator to assess depression risk in adults with diabetes.

Associations of ethylene oxide exposure with depression in American adults

Ethylene oxide (EO) is an organic compound known for its high reactivity and negative impact on human health, but its adverse effects on depression remain poorly understood. A cross-sectional study was conducted among 2884 participants from the National Health and Nutrition Examination Survey (NHANES) between 2013 and 2016. Participants were classified into four groups according to quartiles of log10-transformed hemoglobin adducts of EO (HbEO) levels. A logistic regression model was used to estimate the association between EO exposure and the risk of depression. Finally, we evaluated whether the association was mediated by inflammatory factors. Individuals with depression exhibited higher levels of hemoglobin adducts of ethylene oxide (HbEO) compared to those without depression. After adjusting for all covariates, patients in the highest quartile of HbEO (Q4 group) had a higher risk of depression, using the lowest quartile (Q1 group) as the reference group [odds ratio (OR) = 2.21, 95% confidence interval (95% CI): (1.47, 3.40)]. Additionally, the relationship between EO levels and the prevalence of depression followed a non-linear U-shaped pattern. Furthermore, inflammatory cells showed a positive correlation with EO levels. Moreover, white blood cells and neutrophils significantly mediated the relationship between HbEO and the risk of depression with mediated proportions of 14.70 and 12.55%, respectively. Exposure to ethylene oxide increases the risk of depression. Inflammatory factors partially mediated the observed association between EO exposure and depression.

Global Prevalence of Overweight and Obesity in Children and Adolescents

Overweight and obesity in childhood and adolescence is a global health issue associated with adverse outcomes throughout the life course. To estimate worldwide prevalence of overweight and obesity in children and adolescents from 2000 to 2023 and to assess potential risk factors for and comorbidities of obesity. MEDLINE, Web of Science, Embase, and Cochrane. The inclusion criteria were: (1) studies provided adequate information, (2) diagnosis based on body mass index cutoffs proposed by accepted references, (3) studies performed on general population between January 2000 and March 2023, (4) participants were younger than 18 years. The current study was performed in accordance with the Meta-analysis of Observational Studies in Epidemiology guidelines. DerSimonian-Laird random-effects model with Free-Tukey double arcsine transformation was used for data analysis. Sensitivity analysis, meta-regression, and subgroup analysis of obesity among children and adolescents were conducted. Prevalence of overweight and obesity among children and adolescents assessed by World Health Organization, International Obesity Task Force, the US Centers for Disease Control and Prevention, or other national references. A total of 2033 studies from 154 different countries or regions involving 45 890 555 individuals were included. The overall prevalence of obesity in children and adolescents was 8.5% (95% CI 8.2-8.8). We found that the prevalence varied across countries, ranging from 0.4% (Vanuatu) to 28.4% (Puerto Rico). Higher prevalence of obesity among children and adolescents was reported in countries with Human Development Index scores of 0.8 or greater and high-income countries or regions. Compared to 2000 to 2011, a 1.5-fold increase in the prevalence of obesity was observed in 2012 to 2023. Substantial differences in rates of obesity were noted when stratified by 11 risk factors. Children and adolescents with obesity had a high risk of depression and hypertension. The pooled estimates of overweight and excess weight in children and adolescents were 14.8% (95% CI 14.5-15.1) and 22.2% (95% CI 21.6-22.8), respectively. This study's findings indicated 1 of 5 children or adolescents experienced excess weight and that rates of excess weight varied by regional income and Human Development Index. Excess weight among children and adolescents was associated with a mix of inherent, behavioral, environmental, and sociocultural influences that need the attention and committed intervention of primary care professionals, clinicians, health authorities, and the general public.

Global prevalence of anxiety and depression among medical students during the COVID-19 pandemic: a systematic review and meta-analysis

PurposeAs future physicians, medical students have experienced tremendous pressure during the ongoing COVID-19 pandemic, which is associated with a high risk of depression and anxiety. We aimed to investigate an overview of the prevalence of anxiety and depression among medical students in various countries during the global COVID-19 pandemic, and discuss associated stressors.MethodsWe systematically searched CINAHL, EMBASE, MEDLINE, PubMed, and Web of Science for relevant articles from December 1, 2019 to March 15, 2023. We performed meta-analysis using a random-effects model with REML method to calculate the pooled prevalence of anxiety and depression. Begg’s and Egger’s tests were used to identify the potential risk of publication bias. Meta-regression was used to explore potential sources of heterogeneity.ResultsWe identified 130 studies reporting anxiety and depression among 132,068 medical students during the COVID-19 pandemic. Eight screening tools were identified for anxiety and six for depression. The pooled prevalence of mental health outcomes for anxiety and depression was 45% (95% confidence interval [CI], 40%–49%) and 48% (95% CI, 43%–52%), respectively. The pooled prevalence of mental health outcomes for moderate and severe anxiety and moderate and severe depression was 28% (95% CI, 24%–32%) and 30% (95% CI, 26%–35%), respectively. There was high heterogeneity between studies, with I2 ranging from 99.58%–99.66%. Continent and survey date were included in the meta-regression model. The results of meta-regression revealed that medical students in Asia had a lower prevalence of anxiety, and depression than those in other regions. The survey date (from February to June, 2020) showed a significantly positive correlation with the prevalence of anxiety and depression.ConclusionsWe demonstrated the global prevalence of anxiety and depression among medical students during the COVID-19 pandemic. The data highlight that medical students worldwide are at high risk of experiencing anxiety and depression. The reported stressors can be categorized into personal, academic, environmental and cultural, and pandemic factors. Schools and institutions should ensure optimal alternative learning environments for uninterrupted provision of medical education. The appropriate authorities should prioritize the provision of adequate protection for medical students and establish policies to promote new methods of training and education during a disaster, such as via distance learning.

Association between COVID-19 and subsequent depression diagnoses—A retrospective cohort study

BackgroundThe present study aimed to investigate the association between COVID-19 and the cumulative incidence of depression and the potential role of sick leave in a large representative sample of German adults. MethodsThis retrospective cohort study was based on the Disease Analyzer database (IQVIA) data. This study included individuals aged ≥16 years with a COVID-19 diagnosis in 1284 general practices in Germany between March 2020 and December 2021, and the propensity score matched cohort without COVID-19. Univariable Cox regression analysis assessed the association between COVID-19 and depression. ResultsThe present study included 61,736 individuals with and 61,736 without COVID-19 (mean age 46.1 years; 49 % women). Patients visited their physicians about 4.3 times per year during the follow-up period. About 25.5 % of patients were diagnosed with COVID-19 in 2020 and 74.5 % in 2021. In this representative sample of German adults, COVID-19 infection was associated with a higher cumulative incidence of depression, and this cumulative incidence was greater in women than men. As compared with non-COVID-19, COVID-19 with ≤2 weeks sick leave duration was associated with 17 % higher depression risk (HR: 1.17; 95 % CI: 1.09–2.16), COVID-19 with >2–4 weeks sick leave duration with 37 % higher depression risk (HR: 1.37; 95 % CI: 1.11–1.69), and COVID-19 with >4 weeks sick leave duration with 2 times higher depression risk (HR: 2.00; 95 % CI: 1.45–2.76). ConclusionCOVID-19 sick leave was positively associated with a risk for depression, and the longer the duration of sick leave, the higher the cumulative incidence of depression.

External validation of three diabetes prediction scores in a Spanish cohort: does adding high risk for depression improve the validation of the FINDRISC score (FINDRISC-MOOD)?

ObjectivesTo evaluate the external validity of the FINDRISC, DESIR and ADA risk scores for the prediction of diabetes in a Spanish population aged >45 years and to test the possible...

The relationship between depression, self-control and meaning in life among young undergraduate students: Evidence from path analysis and network analysis

BackgroundLittle is known about the role of self-control in the relationship between depression and the meaning of life. In particular, when depression is viewed through the lens of symptom networks. It is also unclear how self-control (self-discipline and impulse control) and meaning in life relate to the symptoms of depression. MethodsThis study addressed this gap by estimating structural equation models and network analysis based on cross-sectional data representative of China (N = 936, surveyed from age 17 to 22, Mage = 18.27, SDage = 0.75, female = 65.7 %). ResultsThe findings revealed that depression is interrelated with self-control and meaning in life. Specifically, depression predicts levels of meaning in life through self-discipline, which is one component of self-control. There was a complex link between symptoms of depression, self-control, and meaning in life. However, there was no direct link between the core symptoms of depression and self-discipline or meaning in life. ConclusionsOverall, the evidence from this study suggests that emphasizing the presence of meaning among young undergraduate students who are at high risk for depression may decrease their levels of depression. Moreover, if this emphasis is coupled with an improvement in their self-discipline, it may also be beneficial for depression.

Built Environment, Natural Environment, and Mental Health.

Mental health disorders have become a global problem, garnering considerable attention. However, the root causes of deteriorating mental health remain poorly understood, with existing literature predominantly concentrating on socioeconomic conditions and psychological factors. This study uses multi-linear and geographically weighted regressions (GWR) to examine the associations between built and natural environmental attributes and the prevalence of depression in US counties. The findings reveal that job sprawl and land mixed use are highly correlated with a lower risk of depression. Additionally, the presence of green spaces, especially in urban area, is associated with improved mental health. Conversely, higher concentrations of air pollutants, such as PM2.5 and CO, along with increased precipitation, are linked to elevated depression rates. When considering spatial correlation through GWR, the impact of population density and social capital on mental health displays substantial spatial heterogeneity. Further analysis, focused on two high depression risk clustering regions (northwestern and southeastern counties), reveals nuanced determinants. In northwestern counties, depression rates are more influenced by factors like precipitation and socioeconomic conditions, including unemployment and income segregation. In southeastern counties, population demographic characteristics, particularly racial composition, are associated with high depression prevalence, followed by built environment factors. Interestingly, job growth and crime rates only emerge as significant factors in the context of high depression risks in southeastern counties. This study underscores the robust linkages and spatial variations between built and natural environments and mental health, emphasizing the need for effective depression treatment to incorporate these multifaceted factors.

Antibiotic exposure and depression incidence: A cohort study of the Korean population

Recent research highlights the crucial role of the gut-brain axis in understanding depression etiologies. While burgeoning studies suggest an association between disruptions in gut microbiota and the development of depression, limited longitudinal studies have investigated this link. To address this gap, we conducted a retrospective cohort study using National Health Insurance Service-Health Screening Cohort (NHIS-HEALS) data in South Korea, involving 199,144 individuals aged 40–79. We examined the impact of cumulative antibiotic exposure (2004–2008) on subsequent depression incidence (2009–2013) by conducting Cox proportional hazards regressions. Our findings show an increasing depression risk with extended antibiotic exposure after adjusting for comorbidities and behavioral covariates. A broader antibiotic spectrum was associated with a higher depression risk. These trends persisted after adjusting for the original antibiotic indications. In conclusion, our study highlights the duration-dependent association between antibiotic exposure and increased depression risk, offering insights into depression etiologies and relevant novel therapeutic tools, and advocating for heightened antibiotic stewardship considering their impact on mental health.

Assessing the Factor Structure and Construct Validity of the Beck Depression Inventory (BDI-II) in a Korean Preschool Teacher Sample

Preschool teachers are at high risk of depression. Therefore, emphasis should be placed on evaluating a valid and reliable instrument to measure depressive symptomatology for this population. One such promising instrument is the Beck Depression Inventory (BDI-II), a 21-item self-report measure designed to assess the presence and severity of depression. Although the tool’s psychometric properties have been analyzed in different samples, they have not been validated with a Korean preschool teacher sample. Hence, this study sought to evaluate the psychometric properties of the Korean version of the BDI-II in a sample of Korean preschool teachers. The study participants comprised 252 Korean preschool teachers (243 women and 9 men) with an average age of 33.5 years (SD = 10.3, range = 21-59). The participants completed the Korean version of the BDI-II online. Confirmatory factor analysis was performed to examine the psychometric properties of the BDI-II. Six models based on the literature were tested, including single-factor, correlated two- and three-factor, and bifactor models. The reliability and validity of the BDI-II were also analyzed. The bifactor model demonstrated the best data fit with an overarching vital general depression factor that coexists with comparatively weak specific cognitive, affective, and somatic factors. Internal consistency, measured using McDonald’s omega coefficients, was adequate in all cases. Using a validated screening instrument such as the BDI-II may allow clinicians to better detect depression among preschool teachers because of its conciseness and satisfactory psychometric properties. Since a bifactor model confirmed the unidimensionality of the BDI-II, the scores of specific factors should not be used in isolation. However, clinical assessment may benefit from its subscales if they are used in conjunction with total scores.

A machine-learning approach to model risk and protective factors of vulnerability to depression

There are multiple risk and protective factors for depression. The association between these factors with vulnerability to depression is unclear. Such knowledge is an important insight into assessing risk for developing depression for precision interventions. Based on the behavioral data of 496 participants (all unmarried and not cohabiting, with a college education level or above), we applied machine-learning approaches to model risk and protective factors in estimating depression and its symptoms. Then, we employed Random Forest to identify important factors which were then used to differentiate participants who had high risk of depression from those who had low risk. Results revealed that risk and protective factors could significantly estimate depression and depressive symptoms. Feature selection revealed four key factors including three risk factors (brooding, perceived loneliness, and perceived stress) and one protective factor (resilience). The classification model built by the four factors achieved an ROC-AUC score of 75.50% to classify the high- and low-risk groups, which was comparable to the classification performance based on all risk and protective factors (ROC-AUC = 77.83%). Based on the selected four factors, we generated a mood vulnerability index useful for identifying people's risk for depression. Our findings provide potential clinical insights for developing quick screening tools for mood disorders and potential targets for intervention programs designed to improve depressive symptoms.

Medical students' perspectives on a longitudinal wellness curriculum: a qualitative investigation.

There is growing concern about the mental health status of medical students. Medical students are at a higher risk for depression, anxiety, and burnout than non-medical students. The Undergraduate Medical Education (UGME) Office of Medical Learner Affairs at McGill University developed a Longitudinal Wellness Curriculum (LWC) to foster medical students' well-being, self-care, and adaptability. We conducted a qualitative descriptive study to explore students' experiences with the LWC. We conducted three semi-structured focus groups involving a total of 11 medical students. We used thematic framework analysis for data analysis. We found four main themes related to participants' engagement with the curriculum: 1) diverse perceptions on curriculum relevance and helpfulness; 2) the benefits of experiential sessions, role model speakers, and supportive staff; 3) insights on student-friendly curriculum scheduling; and 4) the importance of wellness education and systemic interventions in medical education. Most participants found the curriculum valuable and supported its integration into the academic curriculum. Experiential and active learning, diverse approaches to wellness, small group sessions, role modeling, and student-centered approaches were preferred methods. Inconvenient curriculum scheduling and skepticism over system-level support were seen as barriers to curriculum engagement and uptake. The findings of our study contribute to the development and implementation of wellness curriculum efforts in medical education.

Leisure-time physical activity is associated with depressive symptoms in cancer patients: Data from the NHANES 2007–2018

BackgroundCancer patients have a higher risk of depression and are associated with severe adverse prognosis. The relationship between leisure-time physical activity (LTPA) and depressive symptoms in cancer patients is currently unclear. Therefore, our study mainly explores the potential association between LTPA and the weekly cumulative time of LTPA with depressive symptoms in cancer patients. MethodsWe included and analyzed 3368 cancer patients (aged >20 years) from the National Health and Nutrition Examination Survey (NHANES) of the United States from 1999 to 2018. The LTPA score was evaluated through a self-report questionnaire, while depressive symptoms were evaluated through the Health Questionnaire-9 (PHQ-9). Multiple logistic regression analysis was used to explore the relationship between LTPA duration and the occurrence of cancer-related depressiive symptoms. Linear correlation was studied using the restricted cubic spline method. ResultsAccording to a fully adjusted multivariate logistic regression model with confounding variables, the odds ratio (OR) between LTPA and depressive symptoms in cancer patients in this study was 0.59 (95 % confidence interval = 0.39, 0.92; P = 0.02). When the LTPA level was ≥300 min/week, the incidence of depressive symptoms was reduced by 59 % (OR = 0.41, 95 % CI = 0.21, 0.83). In addition, the cubic spline method was used to obtain a linear negative correlation between LTPA duration and tumor depressive symptoms. ConclusionLTPA was negatively correlated with cancer-related depressive symptoms, and the cumulative time of LTPA/week was linearly correlated with depressive symptoms. The slope of the benefit curve changed significantly when the cumulative time of LTPA reached 600 min per week, suggesting that appropriately increasing LTPA had significant benefits on mental health of cancer patients.

Association between indoor air pollution and depression: a systematic review and meta-analysis of cohort studies

ObjectivesIncomplete combustion of solid fuel and exposure to secondhand smoke (SHS) are the primary causes of indoor air pollution (IAP), potentially leading to detrimental effects on individual mental health. However,...

Eight-year nationwide study of the bidirectional association between type 2 diabetes and depression in nearly 8 million German outpatients

IntroductionResearch linking type 2 diabetes and depression mostly relied on hospital-based diagnoses or prescription data, overlooking many outpatient diagnoses. We aimed to quantify the risks of depression in individuals newly...