Overweight, obesity, and individual symptoms of depression: A multicohort study with replication in UK Biobank

Systemic inflammation mediates the association between dietary inflammation index and incident anxiety and depression in UK Biobank

BACKGROUND

Evidence on whether systemic inflammation mediates the association between diet and depression and anxiety is lacking.

METHODS

We analyzed 55,799 participants from the UK Biobank, assessing dietary inflammatory index (DII) based on 3 days' 24-hour dietary recall. Systemic inflammation was represented by systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI). Incident depression and anxiety were ascertained through linkage to hospital records, and Cox proportional hazard regression models evaluated the associations, with mediation analysis performed for systemic inflammation.

RESULTS

DII ranged from -6.87 to 4.88 with a median of -0.67. After a median follow-up time of 9.12 years, 1409 were diagnosed with depression and 1806 with anxiety. Higher DII level is associated with the incident risk of depression (HRQ4vsQ1 = 1.20, 1.09-1.32, P < 0.001) and anxiety (HRQ4vsQ1 = 1.10, 1.00-1.21, P < 0.001). SIRI and SII respectively mediate 4.12 % (95 % CI = 1.30 %-23.3 %, P < 0.001) and 4.43 % (95 % CI = 1.89 %-43.75 %, P < 0.001) of the association between DII and depression incidence. As for anxiety, SIRI mediated 8.27 % (95 % CI = 1.44 %-15.31 %, P < 0.001) and SII mediated 4.19 % (95 % CI = 1.58 %-11.47 %, P < 0.001), respectively.

LIMITATIONS

The potential coexistence of anxiety and depression with other psychiatric disorders and limitations in data on changes in DII and inflammation markers over time may bias the findings. The study's generalization is constrained by the demographic of participants.

CONCLUSION

Our findings suggest that DII is positively associated with depression and anxiety, which may be mediated by SII/SIRI.

Separating the effects of childhood and adult obesity on depression, subjective well-being, and suicide attempt: a Mendelian randomization study

Observational studies have linked obesity, both in childhood and adulthood, with higher risks of depression, reduced subjective well-being (SWB), and suicide attempts (SA). However, the causality remains unclear. This study aimed to investigate the causal effects of childhood and adult obesity on depression, SWB, and SA. A bidirectional two-sample Mendelian randomization (MR) was performed using genome-wide association study (GWAS) data to examine the causal effects of body mass index (BMI) on depression, SWB, and SA. The inverse variance weighted method was used for primary analysis. Univariable and multivariable MR were employed to assess the total and independent effects of early life and adult body size. Cochran's Q test and MR-Egger intercept were applied to evaluate heterogeneity and pleiotropy. Genetically predicted BMI was significantly associated with an increased risk of major depressive disorder (MDD: OR = 1.13, 95%CI = 1.06-1.22, p = 6.1 × 10⁻⁴), SA-ISGC (OR = 1.17, 95%CI = 1.08-1.27, p = 1.9 × 10⁻⁴), and SA-iPSYCH (OR = 1.31, 95%CI = 1.12-1.54, p = 6.2 × 10⁻⁴). No significant causal effects of MDD, SWB, or SA on BMI were found. Early-life body size showed no direct effect on MDD or SA. However, adult body size was directly linked to increased risks of MDD (OR = 1.32, 95%CI = 1.13-1.55, p = 4.7 × 10⁻⁴), SA-ISGC (OR = 1.24, 95%CI = 1.03-1.47, p = 0.022), and SA-iPSYCH (OR = 1.80, 95%CI = 1.29-2.50, p = 5.6 × 10⁻⁴). This study provides robust evidence supporting a causal link between obesity and an increased risk of both depression and SA, with adult body size exerting a more direct impact on these outcomes than early-life body size.

Pathways linking BMI trajectories and mental health in an adult population-based cohort: role of emotional eating and body dissatisfaction

BACKGROUND

Overweight and obesity are associated with poor mental health, and the association is bidirectional. Few studies have examined the association between weight change and mental health over time. We aimed to provide further insight into the association between weight gain and mental health, with a focus on emotional eating and body dissatisfaction as mediating factors.

METHODS

Height and weight were self-reported upon registration, and in Spring 2022, 2023, and 2024 in the Specchio cohort (Geneva, Switzerland). BMI trajectories were estimated by (1) mixed-effects models to calculate participants' personal slopes (increase in BMI score per year), and (2) testing the odds of an upward BMI category transition from baseline to last follow-up. The associations of behavioural and psychosocial factors with BMI trajectories (slopes and transitions), and BMI trajectories with mental health outcomes were estimated using regressions adjusted for age, sex, education, and physical health condition. Structural equation modelling was used to test mediating pathways.

RESULTS

Among 7388 participants (59% women, mean age 51 years), factors associated with increasing BMI over 4 years included financial hardship, short sleep duration, less physical activity, more leisure screen time, depressive and anxiety symptoms, and emotional eating (β range [95% CI] = 0.03 [0, 0.05]-0.12 [0.09, 0.15]). Increasing BMI was associated with body dissatisfaction (β = 0.36 [0.33, 0.38]) and poorer quality of life (β = -0.06 [-0.09, -0.03]) at 4-year follow-up after adjustment for anxiety and depressive symptoms at baseline. Emotional eating partly mediated the association between anxiety and depressive symptoms at baseline and increasing BMI, and between financial hardship and increasing BMI. Body dissatisfaction and poorer self-rated health partly mediated the association between increasing BMI and quality of life at follow-up.

CONCLUSIONS

Emotional eating and body dissatisfaction contribute to the association between BMI trajectories and mental health and should be considered in weight management and mental health promotion strategies.

Association between Body Roundness Index and Depression Among Middle-aged and Older Adults in Chinese Communities: An Empirical Analysis Based on CHARLS Data

BACKGROUND

The relationship between depression and obesity has been confirmed by multiple studies. Compared to conventional measurement indicators such as body mass index or waist circumference, the body roundness index (BRI) demonstrates higher accuracy in assessing body fat content, especially visceral adiposity. Nevertheless, despite the advantages of BRI in measuring fat, the specific link between BRI and depression remains unclear. This study aims to clarify the potential correlation using data from the China Health and Retirement Longitudinal Study (CHARLS).

METHODS

This study used CHARLS data from 2015 and 2020. We screened and included 7,258 middle-aged and older adults without depressive symptoms at baseline. We explored the connection between BRI and depression risk through logistic regression analyses, restricted cubic spline analyses, subgroup analyses, and interaction tests.

RESULTS

After adjusting for covariates, a positive correlation was observed between BRI and depression risk. Specifically, a one-unit increase in BRI led to a 14% increase in depression risk (OR =  1.14, 95% CI: 1.09-1.20, P <  0.001).

CONCLUSION

BRI is linked to a higher risk of depression in middle-aged and older adults in China and can be used as a simple indicator to predict depression.

Treating obesity in patients with depression: a narrative review and treatment recommendation

The high morbidity of obesity and depression pose significant public health concerns, with the prevalence of obesity doubling in the US between 1990 and 2022 and patients frequently presenting with both. Untreated obesity and depression can greatly impact patient health and well-being, as both obesity and depression are associated with a number of comorbidities including sleep apnea, type 2 diabetes mellitus, metabolic syndrome, metabolic dysfunction-associated steatotic liver disease, and cardiovascular disease. This narrative review aims to provide a comprehensive and current overview of the overlapping etiologies between obesity and depression as well as the available treatment options that may be recommended by primary care professionals to treat these patients with concomitant obesity and depression. With the considerable overlap in the population of patients with obesity and depression, as well as the overlap in the neurobiological, hormonal, and inflammatory pathways underlying both diseases, primary care professionals should consider screening patients presenting with obesity for depression. Holistic treatment options, including lifestyle and behavioral modifications, and pharmacotherapy for both depression and obesity and bariatric surgery for obesity are critical to manage both conditions simultaneously. Therefore, due to the overlapping neurobiological pathways and mechanisms responsible for the incidence and progression of both obesity and depression, a holistic treatment plan including strategies with efficacy for both conditions and any additional comorbidities may improve the clinical approach for patients with concomitant obesity and depression.

The Association Between Delayed Sleep-Wake Phase Disorder and Depression Among Young Individuals: A Systematic Review and Meta-Analysis: Association entre le syndrome de retard de phase et la dépression parmi les jeunes : revue systématique et méta-analyse

ObjectivesDelayed sleep-wake phase disorder (DSWPD) most commonly affects young individuals (adolescents and young adults), but it is often undetected in clinical practice. Despite several reports suggesting a link between DSWPD and depression, no systematic review has investigated this association. The aim of this systematic review was to determine whether DSWPD is associated with depression among young individuals.MethodsMEDLINE, EMBASE, PsycINFO, and CINAHL Plus were searched up to 29 July 2024. Primary studies investigating DSWPD and depression among young individuals were eligible. Methodological quality and risk of bias was assessed with the National Institute of Health (NIH) Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies. Common-effect models were conducted to examine the relationship between DSWPD status (categorical variable: yes or no) and depression severity (continuous variable). PROSPERO ID: CRD42023458889.ResultsSixteen studies were included with 766 participants being evaluated against the diagnostic criteria for DSWPD from the International Classification of Sleep Disorders. Thirteen out of 15 studies demonstrated that young individuals with DSWPD had a significantly greater severity of depressive symptoms than young individuals without DSWPD. NIH quality assessment scores ranged between 5 and 9 (out of a total of 11). DSWPD status had a significantly large effect on depression severity in the common-effect model (N: 16 estimates, 693 participants, Cohen's d = 0.92, 95% confidence interval (95% CI) [0.76-1.08]). The subgroup analysis also demonstrated significant findings with the common-effect model that only utilized data from studies that controlled for psychiatric disorders (N: 12 estimates, 535 participants, Cohen's d = 0.88, 95% CI [0.70-1.06]).ConclusionsDSWPD is associated with a greater severity of depressive symptoms among young individuals. Although more research is required to understand this association, it may be useful to consider the presence of DSWPD when managing young individuals who present with persistent sleep disturbances (e.g., sleep-onset insomnia) and depressive symptoms.

Association between triglyceride-glucose index and its combination with obesity indicators and depression: findings from NHANES 2005-2020

Background

The relationship between the triglyceride-glucose (TyG) index, its combination with obesity indicators, and depression remains understudied in the American population.

Methods

This cross-sectional study analyzed data from 10,423 adults in the National Health and Nutrition Examination Survey (NHANES) conducted between 2005 and 2020. We employed multivariable logistic regression analysis, smoothing techniques, generalized additive models, stratified analyses, and sensitivity analyses to examine the relationship between TyG, its combination (TyG-WC, TyG-WHtR, TyG-BMI) with obesity indicators, and depression.

Results

The results indicate that the TyG index, TyG-WC, TyG-WHtR, TyG-BMI, and depression exhibited a significant statistical association with depressive symptoms (all P for trend < 0.001). Specifically, a one-unit increase in the TyG index correlated with a 37% increase in the risk of depressive symptoms (95% CI: 1.21-1.55), a one-unit increase in TyG-WC correlated with a 3.26 times increase in the risk of depressive symptoms (95% CI: 2.22-4.80), a one-unit increase in TyG-WHtR correlated with a 27% increase in the risk of depressive symptoms (95% CI: 1.18-1.36), and a one-unit increase in TyG-BMI correlated with a 2.30 times increase in the risk of depressive symptoms (95% CI: 1.72-3.08). There was a significant nonlinear correlation between TyG-WC, TyG-WHtR, and TyG-BMI with depressive symptoms (all P for nonlinearity < 0.001), except for a linear correlation between the TyG index and depressive symptoms (P for linearity < 0.001).

Conclusion

Monitoring the TyG index, TyG-WC, TyG-WHtR, TyG-BMI may facilitate depression risk assessment and prevention.

Exploring the Bidirectional Relationship Between Depression and Obesity

The paper explores the intricate bidirectional relationship between depression and obesity, emphasizing that each condition increases the risk of the other. Shared biologic mechanisms, such as neuroinflammation, dysregulation of the hypothalamic-pituitary-adrenal axis, and dysfunction of the gut-brain axis, contribute to the co-occurrence of these conditions. In addition, the emerging social withdrawal syndrome, hikikomori, is suggested as an associated socio-behavioral factor with the comorbidity of depression and obesity. Among antidepressants, selective serotonin reuptake inhibitors and bupropion (a norepinephrine/dopamine reuptake inhibitor), but not tricyclic antidepressants, are considered pharmacotherapeutic options for the co-occurrence of depression and obesity.

Specific depressive symptoms, body mass index and diabetes in middle-aged and older Chinese adults: Analysis of data from the China Health and Retirement Longitudinal Study (CHARLS)

BACKGROUND

This study examined the association between specific depressive symptoms and incident diabetes, and whether overweight or obesity mediates this relationship among middle-aged and older adults in China.

METHODS

In a nationally representative prospective cohort study of 11,893 middle-aged and older Chinese adults without baseline diabetes, we used Cox models to assess the association between depressive symptoms and diabetes. The quantile g-computation (qgcomp) model evaluated the contribution of 10 specific depressive symptoms to diabetes risk, and a two-stage regression method explored the mediation effect of overweight or obesity.

RESULTS

Over a median follow-up of 7.1 years, 1,314 cases of diabetes were identified. Elevated depressive symptoms were associated with increased diabetes risk (HR 1.23; 95 % CI 1.09-1.38). Eight out of 10 depressive symptoms were significantly associated to diabetes, with loneliness (weight = 18 %; HR 1.23; 95 % CI 1.10-1.39), restless sleep (weight = 17 %; HR 1.16; 95 % CI 1.04-1.29), and bother (weight = 15 %; HR 1.19; 95 % CI 1.07-1.33) being the primary contributors. Mediation analysis showed that overweight and obesity reduced the depression-diabetes risk association by 8.21 % and 12.61 %, respectively.

LIMITATIONS

Diagnosis of diabetes was self-reported.

CONCLUSIONS

Eight out of ten specific depressive symptoms were associated to diabetes, overweight and obesity may partially mitigate the effect of depressive symptoms on diabetes among middle-aged and older adults in China.

CLINICAL IMPLICATIONS

Our results highlight the importance of tailoring diabetes prevention and management strategies according to specific depressive symptoms among middle-aged and older adults in China.

Associations between body mass index, high-sensitivity C-reactive protein, and depressive symptoms: NHANES 2015-2016

Objective

Studies have shown associations between Body Mass Index (BMI), High-Sensitivity C-reactive protein (HSCRP), and depressive symptoms(DP). However, the complex relationship between them remains uncertain. The objective of this research is to examine the correlation between them in a substantial sample that is representative of the national level.

Methods

Our analysis was based on the 2015-2016National Health and Nutrition Examination Survey (NHANES).DP was measured by the Patient Health Questionnaire-9 (PHQ-9). Using multivariable logistic regression analysis and stratified analysis, we examined the relationship between BMI, HSCRP, and DP. We applied generalized additive models to explore the non-linear relationships among variables.

Results

This study included a total of 4834 participants. The results revealed that BMI (P=0.002) and HSCRP (P=0.008) were risk factors for DP. The relationship between BMI and DP (P=0.035), BMI and HSCRP (P<0.001) were non-linear. The nonlinear association between HSCRP and DP (P=0.031), BMI and DP (P=9e-04) is significant in females when stratified by gender. No nonlinear association was found between BMI and DP (P =0.677) and between HSCRP and DP (P =0.439) in males. The results of the interaction test reveal a significant interaction between HSCRP and gender.

Conclusions

Research has found both BMI and HSCRP are risk factors for DP and the relationship between them was non-linear. The nonlinear associations between BMI and DP, as well as between HSCRP and DP, are gender-dependent.

Depression and Obesity

PURPOSE OF REVIEW

To summarize the recent literature regarding the interaction between the public health concerns of obesity and depression and provide preliminary recommendations for assessment and management of patients with co-occurring obesity and depression. RECENT FINDINGS : Recent studies have reinforced that while there is a bi-directional link between obesity and depression, there is stronger evidence that obesity contributes to the development of depression. Recent research has also elucidated potential mediating factors in the association between depression and obesity (e.g., demographical, biological, and psychological) as well as a moderating effect of treatment of depression on outcomes for treatment of obesity. There is evidence to suggest that in co-occurring depression and obesity, it is beneficial to treat depression first. Cognitive behavioral therapies have demonstrated effectiveness in treating co-occurring depression and obesity and there is preliminary evidence suggesting that increasing emotion regulation and reducing weight bias internalization may be important treatment targets.

Immuno-metabolic depression: from concept to implementation

Major depressive disorder is a common, disabling mental disorder characterized by extensive etiological and phenotypic heterogeneity. This heterogeneity makes treatment approaches imprecise and often ineffective. Insight into the underlying biological mechanisms underpinning depression and its subtypes may enable more personalized treatments. In this review, we provide an overview of immuno-metabolic depression and illustrate that significant immuno-metabolic dysregulations are present in about 20-30% of people with depression. Such immuno-metabolic depression is characterized by the clustering of 1) atypical, energy-related depressive symptoms such as hypersomnia, fatigue, hyperphagia, and possibly anhedonia, 2) systemic low-grade inflammation with elevated levels of e.g., C-reactive protein, cytokines and glycoprotein acetyls, and 3) metabolic abnormalities involving e.g., obesity, dyslipidaemia, insulin and leptin resistance. Persons with immuno-metabolic depression are at a higher risk for cardiometabolic diseases and seem to respond less well to standard antidepressant treatment. Interventions targeting inflammation, metabolism or lifestyle may be more effective treatment options for individuals with immuno-metabolic depression, in line with principles of precision psychiatry.

Trajectories of antidepressant use and 6-year change in body weight: a prospective population-based cohort study

Background

Antidepressant drug treatment may be associated with weight gain, but long-term studies are lacking.

Methods

We included 3,127 adults (1,701 women) from the REGICOR study, aged 55.6 (SD = 11.6) years on average in 2003-2006, living in the northeast of Spain. They had data at two time points (baseline and a median of 6.3 years later) on self-reported antidepressant use, body weight and height, and on baseline smoking, physical activity, diet quality, education, civil status, and depressive symptoms assessed with the Patient Health Questionnaire (PHQ-9) at follow-up. We defined four trajectories of antidepressant use as follows: never use, new use at follow-up, initial use discontinued, repeated use at both time points. We used multivariable linear models to estimate the association of these trajectories with the percentage of weight change. In people without obesity at baseline (n = 2,404), we also estimated the association with obesity incidence at follow-up.

Results

The average 6-year weight gain was 0.53 kg (1.01% body weight), and 24.5% of the participants gained >5% of body weight. The majority (83.6%) of participants did not report any use of antidepressants, 6.2% initiated during follow-up, 5.1% discontinued it, and 5.1% reported their use at both time points. In multivariable analyses, compared to never users, all trajectories were associated with greater weight gain: +1.78% (0.57, 2.98) for initial use discontinued, +2.08% (0.97, 3.19) for new use at follow-up, and +1.98% (95% CI: 0.75, 3.20) for repeated use. In non-obese participants at baseline (n = 2,404), the odds ratio for becoming obese was 2.06 (1.03, 3.96) for repeated use and non-statistically significant for the other trajectories.

Conclusions

In a population-based adult cohort, repeated use of antidepressants was strongly associated with weight gain. New and discontinued use was associated with weight gain, but non-significantly to obesity incidence. Given the global obesity epidemic and the widespread use of antidepressants, weight management and metabolic monitoring should be encouraged and integrated into depression follow-up guidelines alongside antidepressant prescriptions.

Gestational diabetes mellitus and peripartum depression: a longitudinal study of a bidirectional relationship

BACKGROUND

Gestational diabetes mellitus (GDM) and peripartum depression (PPD) are increasing global health issues with potentially long-lasting adverse outcomes. While limited studies suggest a bidirectional relationship between GDM and PPD, most research has been cross-sectional and focused on one direction of the relationship, primarily if GDM predicts postpartum depression. The interplay between antenatal depression and GDM is less explored, with a critical lack of prospective bidirectional studies. This longitudinal study aimed to investigate the bidirectional relationship between GDM and PPD in a total sample and according to different pre-pregnancy body mass index (BMI) categories. Specifically, we examined whether antenatal depression symptoms predict a subsequent GDM diagnosis and whether GDM predicts subsequent postpartum depression symptoms.

METHODS

A three-wave online longitudinal study included 360 women who were followed from the second trimester (20-28 weeks, T1) through the third trimester (32-42 weeks, T2), and into the postpartum period (6-20 weeks after birth, T3). Participants completed the General Data Questionnaire, one item about the diagnosis of GDM, and the Edinburgh Postnatal Depression Scale (EPDS). The sample was stratified according to pre-pregnancy BMI into normal-weight (N = 247) and overweight/obese (N = 113) subgroups. Women with type I and II diabetes, GDM at T1, and underweight BMI were excluded.

RESULTS

In the total sample, antenatal depression symptoms predicted GDM, whereas GDM did not predict postpartum depression symptoms. A bidirectional relationship was observed in normal-weight women, where antenatal depression symptoms predicted subsequent GDM diagnosis, and GDM diagnosis predicted postpartum depression symptoms. In contrast, no associations were found in either direction in the overweight/obese subgroup.

CONCLUSIONS

This study provides evidence of a bidirectional relationship between GDM and PPD only in women with normal body weight before pregnancy. The results highlight the complexity of the relationship between peripartum mental and metabolic health, that is dependent on pre-pregnancy BMI. Clinicians should be aware that normal-weight women may have a unique sensitivity to the bidirectional interplay between GDM and PPD. Pregnant women should be closely monitored for both mental and metabolic health issues and targeted for prevention programs to reduce the risks and burdens associated with both conditions.

Exposure to acrylamide and increased risk of depression mediated by inflammation, oxidative stress, and alkaline phosphatase: Evidence from a nationally representative population-based study

BACKGROUND

The health risk associated with acrylamide exposure has emerged as a significant issue of public health, attracting global attention. However, epidemiologic evidence on whether and how daily acrylamide exposure increases depression risk of the general population is unclear.

METHODS

The study included 3991 adults from the National Health and Nutrition Examination Survey. The urinary metabolites of acrylamide (N-Acetyl-S-(2-carbamoylethyl)-L-cysteine [AAMA] and N-Acetyl-S-(2-carbamoyl-2-hydroxyethyl)-L-cysteine [GAMA]) identified as reliable indicators of acrylamide exposure were examined to determine their relationships with depressive symptoms that were evaluated using the 9-item Patient Health Questionnaire. Besides, the measurements of alkaline phosphatase (ALP) and biomarkers of inflammation (white blood cell [WBC] count) and anti-oxidative stress (albumin [ALB]) were conducted to investigate their mediation roles in above relationships.

RESULT

AAMA, GAMA, and ΣUAAM (AAMA+GAMA) were linearly associated with increased risk of depressive symptoms. Each 2.7-fold increase in AAMA, GAMA, or ΣUAAM was associated with a 30 % (odds ratio: 1.30; 95 % confidence interval: 1.09, 1.55), 47 % (1.47; 1.16, 1.87), or 36 % (1.36; 1.13, 1.63) increment in risk of depressive symptoms, respectively. Increased WBC count (mediated proportion: 4.48-8.00 %), decreased ALB (4.88-7.78 %), and increased ALP (4.93-5.23 %) significantly mediated the associations between acrylamide metabolites and depressive symptoms.

CONCLUSIONS

Acrylamide exposure of the general adult population was related to increased risk of depressive symptoms, which was mediated in part by inflammation, oxidative stress, and increased ALP. Our findings provided pivotal epidemiologic evidence for depression risk increment from exposure to acrylamide.

Association between different diet quality scores and depression risk: the REGICOR population-based cohort study

BACKGROUND

Our aim was to determine the association between diet quality and depression incidence in the population-based REGICOR cohort study, Catalonia, Spain.

METHODS

Prospective observational study using participants' baseline (2003-2006), follow-up (2007-2013) and clinical records data. Five diet quality scores were derived from a food frequency questionnaire (FFQ) at baseline: the relative Mediterranean Diet Score (rMED), the Modified Mediterranean Diet Score (ModMDS), a Dietary Approaches to Stop Hypertension (DASH) score, a Healthful Plant-based Diet Index (HPDI) and the World Health Organization Healthy Diet Indicator (WHO-HDI). Participants using pharmacological antidepressant treatment were excluded as a proxy for presence of depression at baseline. At follow-up, the Patient Health Questionnaire (PHQ-9) was applied to assess depressive symptoms (≥ 10 defining depressive disorder). A secondary outcome was depression diagnosis assessed through clinical records. Logistic regression and Cox proportional hazards models were used.

RESULTS

Main analysis included 3046 adults (50.3% women) with a mean age of 54.7 (SD = 11.6) years. After 6-years follow-up, 184 (6.04%) cases of depressive disorder were identified. There was 16% lower odds of depressive disorder per 1SD increase of rMED (OR = 0.84; 95%CI = 0.71-0.98). Secondary outcome analysis (n = 4789) identified 261 (5.45%) incident cases of clinical depression diagnosis over 12 years follow-up, and 19% lower risk of clinical depression was observed with the WHO-HDI (HR = 0.81; 95%CI = 0.70-0.93). Adjusting for BMI did not attenuate the findings.

CONCLUSIONS

A significant inverse association between diet quality and depression incidence was found in this population-based cohort study, independent of sociodemographic, health and lifestyle. Adherence to a healthy diet could be a complementary intervention for the prevention of depression.

Relationship between serum neurofilament light chain protein and depression: A nationwide survey and Mendelian randomization study

BACKGROUND

Investigating the link between serum neurofilament protein (sNfL) levels and depression remains an area of limited understanding. This study explores the correlation in US adults and employs Mendelian randomization (MR) to ascertain causality.

METHODS

Our cross-sectional study analyzed data from participants aged 20 and above in the National Health and Nutrition Examination Survey (2013-2014). We employed a weighted multiple logistic regression model to examine the relationship between ln (sNfL) and depression. Restricted cubic splines (RCS) were used to visualize non-linear relationships. Stratified analyses examined associations between ln(sNfL) and depression in different subgroups. Subsequently, we conducted a two-sample bidirectional Mendelian randomization (MR) to assess the causal relationship between sNfL and depression. The inverse variance-weighted (IVW) method was utilized as the primary analysis.

RESULTS

Among 1765 participants (mean age 45.19 years; 49.37 % male), 166 had depression with a Patient Health Questionnaire (PHQ-9) score ≥ 10. After adjusting for covariates, a positive correlation remained between sNfL and depression (OR 1.511, 95 % CI: 1.050-2.175). RCS curves indicated a non-linear association, with a turning point at 2.76 pg/ml. Stratified analyses revealed positive correlations in specific subgroups, with interactions involving age, race, family income, recreational activity, and ln(sNfL). MR using IVW found no significant causal relationship between sNfL and depression genetically (OR = 0.956, 95 % CI: 0.878-1.042), with reverse analysis yielding similar results (OR = 0.897, 95 % CI: 0.756-1.065).

CONCLUSIONS

This cross-sectional study highlights a significant correlation between ln(sNfL) and depression. However, MR results indicate no causal relationship between sNfL and depression.

The association between abdominal obesity and depressive symptoms among Chinese adults: Evidence from national and regional communities

BACKGROUND

The association between body shape and depressive symptoms has been reported in adults. The present study aimed to investigate the association between body shape-specific abdominal obesity and depressive symptoms among multi-regional Asian adults.

METHODS

The 2011-2012 China Health and Retirement Longitudinal Study and 2022-2023 Hangzhou study were used as the discovery and validation datasets, respectively. Body shape was assessed by body mass index categories. Abdominal obesity was defined as a body shape index (ABSI) ≥ 75th centile. Depression was measured using 10-item Centre for Epidemiological Studies Depression Scale and Geriatric Depression Scale short 15-item version, respectively. General linear and multinomial logistic models were used to explore the association of ABSI, abdominal obesity with depressive scores and presence, respectively.

RESULTS

A total of 12,229 and 1210 participants were included in the discovery and validation datasets, respectively. A non-linear reverse L-shaped association was found between ABSI and depressive scores. Participants with abdominal obesity had higher depressive scores (β = 0.05, 95%CI = 0.01-0.09; and β = 0.13, 95%CI = 0.01-0.24; respectively). Stratified analyses showed that abdominal obesity was associated with higher depressive scores (β = 0.09, 95%CI = 0.00-0.17; and β = 0.25, 95%CI = 0.05-0.46; respectively) and presence (OR = 1.46, 95%CI = 1.02-2.10; and OR = 3.95, 95%CI = 1.58-9.84; respectively) in overweight adults. Furthermore, abdominal obesity was associated with depressive symptoms among overweight females, but not among males.

LIMITATION

Causal links weren't addressed because of the observational study design.

CONCLUSION

Abdominal obesity exhibited a positive association with depressive symptoms among Asian overweight adults, particularly in females. Prevention and early diagnosis of depressive symptoms should focus on overweight females.

Additive effects of depression and obesity on neural correlates of inhibitory control

BACKGROUND

Depression and obesity are associated with impaired inhibitory control. Behavioral evidence indicates an exacerbating additive effect when both conditions co-occur. However, the underlying neural mechanisms remain unclear. Moreover, systemic inflammation affects neurocognitive performance in both individuals with depression and obesity. Here, we investigate additive effects of depression and obesity on neural correlates of inhibitory control, and examine inflammation as a connecting pathway.

METHODS

We assessed inhibitory control processing in 64 individuals with obesity and varying degrees of depressed mood by probing neural activation and connectivity during an fMRI Stroop task. Additionally, we explored associations of altered neural responses with individual differences in systemic inflammation. Data were collected as part of the BARICO (Bariatric surgery Rijnstate and Radboudumc neuroimaging and Cognition in Obesity) study.

RESULTS

Concurrent depression and obesity were linked to increased functional connectivity between the supplementary motor area and precuneus and between the inferior occipital and inferior parietal gyrus. Exploratory analysis revealed that circulating inflammation markers, including plasma leptin, IL-6, IL-8, and CCL-3 correlated with the additive effect of depression and obesity on altered functional connectivity.

LIMITATIONS

The observational design limits causal inferences. Future research employing longitudinal or intervention designs is required to validate these findings and elucidate causal pathways.

CONCLUSION

These findings suggest increased neural crosstalk underlying impaired inhibitory control in individuals with concurrent obesity and depressed mood. Our results support a model of an additive detrimental effect of concurrent depression and obesity on neurocognitive functioning, with a possible role of inflammation.

Obesity, psychological well-being related measures, and risk of seven non-communicable diseases: evidence from longitudinal studies of UK and US older adults

BACKGROUND

We examined the role of psychological well-being related measures in explaining the associations between obesity and increased risk of non-communicable diseases (NCDs: hypertension, heart disease, stroke, diabetes, arthritis, cancer, and memory-related disease) in older adults.

METHODS

Data were from the English Longitudinal Study of Ageing (ELSA), UK (baseline: Wave 4-2008/2009; n = 8127) and the Health and Retirement Study (HRS), US (baseline: Waves 9 and 10-2008/2010; n = 12,477). Objective body mass index was used to define obesity. A range of psychological well-being related measures (e.g., depressive symptoms, life satisfaction) was available in ELSA (n = 7) and HRS (n = 15), and an index of overall psychological well-being was developed separately in each study. NCDs were from a self-reported doctor diagnosis and/or other assessments (e.g., biomarker data) in both studies; and in ELSA, NCDs from linked hospital admissions data were examined. Longitudinal associations between obesity status, psychological well-being measures, and NCDs were examined using Cox proportional hazard models (individual NCDs) and Poisson regression (a cumulative number of NCDs). Mediation by psychological well-being related measures was assessed using causal mediation analysis.

RESULTS

Obesity was consistently associated with an increased prospective risk of hypertension, heart disease, diabetes, arthritis, and a cumulative number of NCDs in both ELSA and HRS. Worse overall psychological well-being (index measure) and some individual psychological well-being related measures were associated with an increased prospective risk of heart disease, stroke, arthritis, memory-related disease, and a cumulative number of NCDs across studies. Findings from mediation analyses showed that neither the index of overall psychological well-being nor any individual psychological well-being related measures explained (mediated) why obesity increased the risk of developing NCDs in both studies.

CONCLUSION

Obesity and psychological well-being may independently and additively increase the risk of developing NCDs.

Isotemporal substitution of sedentary behavior with physical activity and its influence on depressive symptoms among adults with overweight/obesity in the United States: A cross-sectional study

Objective

This cross-sectional study examined the influence of sedentary behavior (SB) time substitution with physical activity (PA) on depressive symptoms among adults with overweight/obesity. SB time was replaced with equal amount of walking/bicycling or leisure-time moderate-to-vigorous PA (MVPA).

Methods

Data of the 18344 adults, who were overweight and obesity was obtained from the National Health and Nutrition Examination Survey 2006-2018. PA of participants was measured by the Global Physical Activity Questionnaire. Depressive symptoms, including overall, somatic, and cognitive depressive symptoms were assessed by the Patient Health Questionnaire-9 (PHQ-9). Isotemporal substitution model based on weighted multiple linear regression was used to assess the association of SB time substitution with PA on depressive symptoms.

Results

Independent model analysis showed that 30 min/day SB time was significantly associated with higher PHQ-9 depressive symptoms, while engage in walking/bicycling or leisure-time MVPA for 30 min/day was associated with lower depressive symptoms. Isotemporal substitution analyses revealed that replacing 30 min/day SB time with equal amount of walking/bicycling or leisure-time MVPA was associated with significant lower PHQ-9 total scores (walking/bicycling: β = -0.088, 95%CI = -0.129, -0.047, P < 0.01; MVPA: β = -0.160, 95%CI = -0.185, -0.134, P < 0.01). Moreover, cognitive depressive symptoms (walking/bicycling: β = -0.035, 95%CI = -0.058, -0.013, P < 0.01; MVPA: β = -0.074, 95%CI = -0.088, -0.060, P < 0.01), and somatic depressive symptoms (walking/bicycling: β = -0.053, 95%CI = -0.075, -0.030, P < 0.01; MVPA: β = -0.085, 95%CI = -0.100, -0.071, P < 0.01) were also significantly lower after replacing SB time with either walking/bicycling or MVPA. However, replacing 30 min/day PA with SB time represented with higher depressive symptoms.

Conclusions

Replacing SB time with walking/bicycling or MVPA is beneficial in lowering the depressive symptoms among overweight/obese adults. Owing to the benefits of PA on depression, strategies promoting PA participation, are necessary for better social/mental well-being and healthy society.

The association between depressive symptoms and high-sensitivity C-reactive protein: Is body mass index a moderator?

Objective

Depression and obesity are highly comorbid conditions with shared biological mechanisms. It remains unclear how depressive symptoms and body mass index (BMI) interact in relation to inflammation. This cross-sectional study investigated the independent associations of depressive symptoms and BMI with high sensitivity C-reactive protein (hs-CRP), as well as the moderating role of BMI on the depressive symptoms-hs-CRP association.

Methods

Participants (n = 8827) from the 2015-2018 National Health and Nutrition Examination Surveys were aged ≥20 with a BMI ≥18.5 kg/m2, completed the Depression Screener, and had hs-CRP data. Multivariable linear regression was used to analyze hs-CRP in relation to depressive symptoms and BMI. An interaction term was included to examine whether the depressive symptoms-hs-CRP relationship differs depending on BMI.

Results

There was a slight, albeit non-significant, increase in hs-CRP levels with each one-point increase in depressive symptoms (aCoef.Estm. = 0.01, 95% CI = -0.05, 0.06, p = 0.754). Participants with overweight (aCoef.Estm. = 1.07, 95% CI = 0.61, 1.53, p < 0.001) or obese (aCoef.Estm. = 3.51, 95% CI = 3.04, 3.98, p < 0.001) BMIs had higher mean hs-CRP levels than those with a healthy BMI. There were no significant interactions between depressive symptoms and overweight (aCoef.Estm. = 0.04, 95% CI = -0.04, 0.13, p = 0.278) or obese (aCoef.Estm. = 0.11, 95% CI = -0.01, 0.22, p = 0.066) BMI indicating a lack of difference in the depressive symptoms-hs-CRP association across participants in the healthy versus overweight and obese ranges.

Conclusions

This study suggests that BMI might not act as a moderator in the association between depressive symptoms and hs-CRP. Results should be replicated in larger samples. Further research is warranted to understand underlying mechanisms.

Obesity and lipid indices as predictors of depressive symptoms in middle-aged and elderly Chinese: insights from a nationwide cohort study

BACKGROUND

Depressive symptoms are one of the most common psychiatric disorders, with a high lifetime prevalence rate among middle-aged and elderly Chinese. Obesity may be one of the risk factors for depressive symptoms, but there is currently no consensus on this view. Therefore, we investigate the relationship and predictive ability of 13 obesity- and lipid-related indices with depressive symptoms among middle-aged and elderly Chinese.

METHODS

The data were obtained from The China Health and Retirement Longitudinal Study (CHARLS). Our analysis includes individuals who did not have depressive symptoms at the baseline of the CHARLS Wave 2011 study and were successfully follow-up in 2013 and 2015. Finally, 3790 participants were included in the short-term (from 2011 to 2013), and 3660 participants were included in the long-term (from 2011 to 2015). The average age of participants in short-term and long-term was 58.47 years and 57.88 years. The anthropometric indicators used in this analysis included non-invasive [e.g. waist circumference (WC), body mass index (BMI), and a body mass index (ABSI)], and invasive anthropometric indicators [e.g. lipid accumulation product (LAP), triglyceride glucose index (TyG index), and its-related indices (e.g. TyG-BMI, and TyG-WC)]. Receiver operating characteristic (ROC) analysis was used to examine the predictive ability of various indicators for depressive symptoms. The association of depressive symptoms with various indicators was calculated using binary logistic regression.

RESULTS

The overall incidence of depressive symptoms was 20.79% in the short-term and 27.43% in the long-term. In males, WC [AUC = 0.452], LAP [AUC = 0.450], and TyG-WC [AUC = 0.451] were weak predictors of depressive symptoms during the short-term (P < 0.05). In females, BMI [AUC = 0.468], LAP [AUC = 0.468], and TyG index [AUC = 0.466] were weak predictors of depressive symptoms during the long-term (P < 0.05). However, ABSI cannot predict depressive symptoms in males and females during both periods (P > 0.05).

CONCLUSION

The research indicates that in the middle-aged and elderly Chinese, most obesity- and lipid-related indices have statistical significance in predicting depressive symptoms, but the accuracy of these indicators in prediction is relatively low and may not be practical predictors.

Association of Cardiovascular Health With Risk of Incident Depression and Anxiety

OBJECTIVE

To investigate the association between cardiovascular health (CVH), defined by the American Heart Association's Life's Essential 8 (LE8) score, and incident depression and anxiety.

DESIGN

A prospective cohort study using data from UK Biobank.

SETTING

Participants were enrolled from March 2006 to October 2010.

PARTICIPANTS

Participants without cardiovascular diseases and common mental disorders at baseline and having complete data on metrics of LE8 were included.

MEASUREMENTS

CVH was assessed by LE8 score including eight components. The overall CVH was categorized as low (LE8 score <50), moderate (50≤ LE8 score <80), and high (LE8 score ≥80).

RESULTS

We included 115,855 participants (mean age: 55.7 years; female: 52.6%). During a median follow-up of 12.4 years, 3,194 (2.8%) and 4,005 (3.5%) participants had incident depression and anxiety, respectively. Compared with participants having low CVH, those having moderate and high CVH had 37% (HR = 0.63, 95% CI: 0.57-0.70) and 52% (HR = 0.48, 95% CI: 0.41-0.55) lower risk of incident depression. Similarly, moderate and high CVH were related to a lower risk of incident anxiety (HR = 0.81, 95% CI: 0.73-0.89 and HR = 0.68, 95% CI: 0.60-0.78). Restricted cubic spline showed that LE8 score was inversely related to incident depression and anxiety in a linear manner, and the risk of incident depression and anxiety decreased by 17% (HR = 0.83, 95% CI: 0.80-0.85) and 10% (HR = 0.90, 95% CI: 0.88-0.92) for 10-point increment in LE8 score, respectively.

CONCLUSIONS

Higher CVH, evaluated by LE8 score, is strongly associated with a lower risk of incident depression and anxiety, suggesting the significance of optimizing CVH by adopting LE8.

Comparison of the associations between Life's Essential 8 and Life's Simple 7 with depression, as well as the mediating role of oxidative stress factors and inflammation: NHANES 2005-2018

BACKGROUND

Cardiovascular health (CVH) is closely associated with depression. However, Life's Essential 8 (LE8), a novel CVH measure, has not yet been clearly linked to depression. This study aims to explore the association between LE8 and depression, compare its advantages over Life's Simple 7 (LS7), and investigate the mediating effects of oxidative stress and inflammation.

METHODS

This study investigated cross-sectional data of adults aged 20 and above from National Health and Nutrition Examination Survey (NHANES) 2005 to 2018. The LE8 score (ranging from 0 to 100) was derived from the American Heart Association's definition, based on the unweighted average of 8 metrics, classified as low cardiovascular health (CVH) (0-49), moderate CVH (50-79), and high CVH (80-100). Similar to LE8, LS7 scores were categorized into inadequate (0-7), average (8-10), or optimal (11-14) after calculating the unweighted mean of each component. Depression was diagnosed using the Patient Health Questionnaire (PHQ-9), with a score of ≥10 defining depression. Adjusted for sociodemographic factors and other risk factors for depression, weighted logistic regression and restricted cubic spline analysis were used to explore the correlation. Receiver operating characteristic (ROC) curves were used to study the associations between CVH scores and depression. Subsequently, subgroup analysis and sensitivity analysis were conducted, followed by an exploration of the mechanisms involved.

RESULTS

A total of 7 cycles from 2005 to 2018 contained complete data. Weighted logistic regression showed that both LS7 and LE8 were significantly associated with depression. Specifically, for LE8, after adjustment, the risk of depression decreased by 52 % for moderate CVH compared to low CVH (OR: 0.48, 95 % CI: 0.41-0.57, P < 0.0001), while the risk decreased by 80 % for high CVH (OR: 0.20, 95 % CI: 0.15-0.26, P < 0.0001, Ptrend < 0.0001). For LS7, after adjustment, compared with inadequate CVH, the risk of depression decreased by 49 % for average CVH (OR: 0.51, 95 % CI: 0.34-0.78, P = 0.002), and by 55 % for optimal CVH (OR: 0.45, 95 % CI: 0.27-0.74, P = 0.002, Ptrend < 0.0001). Area under ROC curves for predicting depression were 0.672 (95 % CI, 0.66-0.684; P < 0.001) and 0.605 (95 % CI, 0.59-0.619; P < 0.001) for LE8 and LS7 (PDeLong < 0.001), respectively. Sensitivity analysis demonstrated the robustness of the association. GGT and WBC jointly mediated 9.62 % of this association (all P < 0.001).

LIMITATIONS

The cross-sectional study cannot infer causality.

CONCLUSIONS

The association between Life's Essential 8 and depression was stronger and more practical. Oxidative stress and inflammation mediate this association. Individuals with extremely poor cardiovascular health have a 7-fold increased risk of depression, highlighting the necessity of maintaining at least moderate cardiovascular health.

Protein-enriched and anti-inflammatory dietary patterns, healthy lifestyle index and depressive symptoms: A cross-sectional study of 287,945 adults in China

OBJECTIVES

Depressive symptoms have a considerable negative impact on mental health. This study aimed to understand the relationship between the protein-enriched and anti-inflammatory dietary index scores, modified healthy lifestyle index scores (Modified HLIS), and depressive symptoms.

METHODS

This study used convenience sampling to conduct a single-center cross-sectional survey. From January 1, 2015 to December 31, 2020, a total of 287,945 Chinese adults from a health management center of a general hospital completed an online self-reported health questionnaire, which included demographic characteristics, the Dietary Diversity Scale, the Modified Healthy Lifestyle Index Scores and the Patient Health Questionnaire-9.

RESULTS

The higher anti-inflammatory dietary index scores (POR = 0.87; 95 % CI: 0.86-0.87; p < 0.001), moderate modified healthy lifestyle index scores (POR = 0.76; 95 % CI: 0.75-0.78; p < 0.001) and sufficient modified healthy lifestyle index scores (POR = 0.53; 95 % CI: 0.52-0.54; p < 0.001) were negatively associated with depressive symptoms, while the higher protein-enriched dietary index scores (POR = 1.01; 95 % CI: 1.01-1.02; p < 0.001) was positively correlated with depressive symptoms.

CONCLUSIONS

This study demonstrated that protein-enriched and anti-inflammatory dietary index scores, and multiple healthy lifestyles are associated depressive symptoms in adults.

Construction of a depression risk prediction model for type 2 diabetes mellitus patients based on NHANES 2007-2014

BACKGROUND

Type 2 diabetes mellitus (T2DM) is a prevalent global health issue that has been linked to an increased risk of depression. The objective of this study was to construct a nomogram model for predicting depression in T2DM patients.

METHODS

A total of 4280 patients with T2DM were included in this study from the 2007-2014 NHANES. The entire dataset was split randomly into training set comprising 70 % of the data and a validation set comprising 30 % of the data. LASSO and multivariate logistic regression analyses identified predictors significantly associated with depression, and the nomogram was constructed with these predictors. The model was assessed by C-index, calibration curve, the hosmer-lemeshow test and decision curve analysis (DCA).

RESULTS

The nomogram model comprised of 9 predictors, namely age, gender, PIR, BMI, education attainment, smoking status, LDL-C, sleep duration and sleep disorder. The C-index of the training set was 0.780, while that of the validation set was 0.752, indicating favorable discrimination for the model. The model exhibited excellent clinical applicability and calibration in both the training and validation datasets. Moreover, the cut-off value of the nomogram is 223.

LIMITATIONS

This study has shortcomings in data collection, lack of external validation, and results non-extrapolation.

CONCLUSIONS

Our nomogram exhibits high clinical predictability, enabling clinicians to utilize this tool in identifying high-risk depressed patients with T2DM. It has the potential to decrease the incidence of depression and significantly improve the prognosis of patients with T2DM.

The role of obesity severity in Minnesota multiphasic personality inventory-2-restructured form prediction of 12-month bariatric surgery outcomes

BACKGROUND

The Minnesota Multiphasic Personality Inventory-2 Restructured Form (MMPI-2-RF) has been widely used in bariatric surgery samples. However, questions remain regarding its utility when predicting changes in body mass index over time following bariatric surgery.

OBJECTIVES

Examine whether MMPI-2-RF scales differentially predict 12-month changes in body mass index (BMI) following bariatric surgery when comparing patients with Class III or higher versus Class II or lower obesity.

SETTING

Military hospital in the Northwestern United States.

METHODS

This retrospective study evaluated data from 193 bariatric surgery patients who completed the MMPI-2-RF as part of presurgical evaluation requirements. Hierarchical linear modeling was used to predict body mass index over a 12-month postsurgical period based on MMPI-2-RF scales. Loss to follow-up rate was 30% during this period.

RESULTS

Among patients with Class II or lower obesity, the Symptom Validity, Adjustment Validity, Response Bias, Cynicism, Aggression, Stress/Worry, and Anger Proneness scales showed a significant relationship to BMI after bariatric surgery. Among patients with Class III or higher obesity, the Infrequent Psychopathology Responses, Emotional / Internalizing Dysfunction, Ideas of Persecution, Multiple Specific Fears, and Inefficacy scales showed a significant relationship to body mass index after bariatric surgery.

CONCLUSIONS

Certain MMPI-2-RF scales may have better utility in predicting bariatric surgery outcomes based on the patient's obesity severity. The interaction of metabolic and personality factors may play a significant role in weight change following bariatric surgery.

The potential causal relationship between various lifestyles and depression: a univariable and multivariable Mendelian randomization study

Background

Previous studies have shown that lifestyle was associated with depression. Thus, the aim of this study was to examine the causality between multiple lifestyles and depression by Mendelian randomization (MR) analysis.

Methods

The single-nucleotide polymorphisms (SNPs) of depression, alcoholic drinks per week, sleeplessness or insomnia, body mass index (BMI), mood swings, weekly usage of mobile phone in the last 3 months, beef intake, cooked vegetable intake, and "smoking status: never" were acquired from the Integrative Epidemiology Unit Open genome-wide association study database. Causal effects of eight exposure factors and depression were investigated using MR-Egger, weighted median, inverse variance weighted (IVW), simple mode, and weighted mode, and results were primarily referred to IVW. Subsequently, univariable MR (UVMR) analysis was performed on eight exposure factors and depression, separately. In addition, sensitivity analysis, including heterogeneity test, horizontal pleiotropy, and leave-one-out (LOO) methods, was conducted to evaluate the stability of MR results. Furthermore, multivariable MR (MVMR) analysis was carried out.

Results

UVMR analysis revealed that all eight exposure factors were causally associated with depression; alcoholic drinks per week, sleeplessness or insomnia, BMI, mood swings, weekly usage of mobile phone in the last 3 months, and cooked vegetable intake were risk factors, and beef intake and "smoking status: never" were protection factors. Heterogeneity tests revealed no heterogeneity for alcoholic drinks per week, sleeplessness or insomnia, mood swings, weekly usage of mobile phone in the last 3 months, and cooked vegetable intake. Meanwhile, there was no horizontal pleiotropy in UVMR, and LOO analysis verified that univariable analysis results were reliable. Moreover, MVMR analysis indicated that mood swings and weekly usage of mobile phone in the last 3 months were risk factors, and beef intake was a protection factor for depression when multiple factors occurred at the same time.

Conclusion

Alcoholic drinks per week, sleeplessness or insomnia, BMI, mood swings, weekly usage of mobile phone in the last 3 months, and cooked vegetable intake were risk factors, and beef intake and "smoking status: never" were protection factors. In addition, mood swings, weekly usage of mobile phone in the last 3 months, and beef intake had a direct effect on depression when multiple factors occurred simultaneously.

Heartache and Heartbreak: An Observational and Mendelian Randomization Study

BACKGROUND

Depression has a significant effect on cardiovascular disease (CVD), but uncertainties persist regarding which modifiable risk factors mediate the causal effects. We aim to determine whether depression is causally linked to CVD and which modifiable risk factors play potential mediating roles.

METHODS

We used a two-sample Mendelian randomization (MR) approach and NHANES 2007-2018 data to estimate the effects of depression on various CVD cases and investigated 28 potential mediators of the association between depression and CVD.

RESULTS

The results of our MR analysis indicated that genetically determined depression was associated with increased risk of several CVD, including coronary heart disease (odds ratio (OR) = 1.14; 95% confidence interval (CI): 1.05,1.22), myocardial infarction (OR = 1.19; 95% CI, 1.09,1.31), atrial fibrillation (OR = 1.14; 95% CI, 1.06,1.22), and stroke (OR = 1.13; 95% CI, 1.05,1.22). However, there was no causal association between depression and heart failure. Four out of 28 cardiometabolic risk factors, including hyperlipidemia, hypertension, diabetes, and prescription opioid use, were identified as mediators of the association between depression and various CVDs. Observational association analyses from NHANES data yielded consistent results.

CONCLUSION

Our findings demonstrated that depression has a causal detrimental effect on various CVDs. Four causal mediators (hyperlipidemia, hypertension, diabetes, and prescription opioid use) were screened to explain the causal effect. Implementing targeted management strategies for these risk factors may be warranted to mitigate the public health burden of CVD among individuals with depression.

Inhibition of Pancreatic Lipase by Flavonoid Derivatives: In Vitro and In Silico Investigations

Obesity, characterized by excessive adipose tissue accumulation, has emerged as a crucial determinant for a wide range of chronic medical conditions. The identification of effective interventions for obesity is of utmost importance. Widely researched antiobesity agents focus on pancreatic lipase, a significant therapeutic target. This study presented the evaluation of ten flavonoid compounds in terms of their inhibitory activities against pancreatic lipase, utilizing both in vitro and in silico approaches. The results indicated that all tested compounds demonstrated modest and weaker inhibitory activities compared to the reference compound, orlistat. Among the compounds investigated, F01 exhibited the highest potency, with an IC50 value of 17.68 ± 1.43 µM. The enzymatic inhibition kinetic analysis revealed that F01 operated through a competitive inhibition mechanism with a determined Ki of 7.16 μM. This value suggested a moderate binding affinity for the pancreatic lipase enzyme. Furthermore, the associated Vmax value was quantified at 0.03272 ΔA·min-1. In silico studies revealed that F01 displayed a binding mode similar to that of orlistat, despite lacking an active functional group capable of forming a covalent bond with Ser152 of the catalytic triad. However, F01 formed a hydrogen bond with this crucial amino acid. Furthermore, F01 interacted with other significant residues at the enzyme's active site, particularly those within the lid domain. Based on these findings, F01 demonstrates substantial potential as a candidate for further investigations.

Investigation of the relationship between heavy metals in the blood and depression in people with different body mass indices using the NHANES database: A cross-sectional study

BACKGROUND

Exposure to heavy metals considered a major risk factor for mental health.

OBJECTIVE

Examining how heavy metals in blood are associated with depression in individuals of various body mass indexes.

METHODS

A total sample of 15,560 individuals was screened, with 4355 participants finally enrolled to study. The PHQ-9 was used to assess participants' depressive symptoms.

RESULTS

A logistic regression analysis was used to investigate the relationship between the levels of heavy metals in the blood and the depression. Serum cadmium levels were found to be associated with risk of depression, with an odds ratio of 2.247 (95 % CI: 1.584-3.244). However, no significant correlations were observed between depression and blood levels of lead, selenium, and manganese. Subgroup analysis was performed and found that higher Cd concentrations were associated with a greater risk of depression at the same BMI. With the same Cd concentration, the risk of depression was lowest when participants' BMI was ≥30 kg/m2 and increased with increasing BMI when participants' BMI was <30 kg/m2.

LIMITATIONS

It is not possible to analyze the effect of external exposure to Cd.

CONCLUSION

Cd in blood may be positively correlated with depression in American adults, and the effect of this trend is different in people with different body mass indices. With the increase in BMI, the risk gradually rises. However, it is lowest among obese people.

A Greek Translation of the Brunel Mood Scale: Initial Validation among Exercise Participants and Inactive Adults

The aim of the present study was to provide initial validity evidence of a Greek translation of the 24-item Brunel Mood Scale, referred to as the BRUMS-Greek, a measure of anger, confusion, depression, fatigue, tension, and vigour. Data were collected from 1417 Greek adult exercise participants and 369 physically inactive adults, totaling 1786 adults (male = 578, female = 1208) aged 18-64 years (M = 34.73 ± 11.81 years). Given the large univariate and multivariate non-normality, a confirmatory factor analyses treating responses as ordered categorical variables was conducted which supported the hypothesised six-correlated factor measurement model. The internal consistency reliability of the BRUMS-Greek subscales was supported via Cronbach alpha coefficients. The construct validity of the scales was supported (a) via correlations in the hypothesised direction with trait positive and negative affect, (b) with more positive and less negative moods reported immediately after participation in a single exercise class compared to pre-exercise mood, and (c) with exercise participants reporting more positive and less negative mood states compared to physically inactive adults. Women reported higher tension and lower vigour scores than men. Tension scores were higher and confusion scores lower among younger participants (≤35 years) than older participants (≥36 years). Participants with obesity reported higher negative mood scores than those who were underweight or normal weight. In sum, the BRUMS-Greek demonstrated acceptable psychometric characteristics, and is proposed to be a suitable measure for use with exercise participants, physically inactive adults, and other Greek populations to explore research questions related to mood.

Relationship between composite dietary antioxidant index and depression among overweight and obese adults

BACKGROUND

The use of specific dietary patterns to alleviate depressive symptoms has gained increasing recognition. The Composite Dietary Antioxidant Index (CDAI) is a crucial criterion for assessing antioxidant diets. We examined the relationship between CDAI and depression among overweight and obese adults through a cross-sectional study conducted in the United States.

METHODS

We used weighted multivariate logistic regression models with subgroup analysis to study the relationship between CDAI and depression. Generalized additive models were used to determine whether there was a nonlinear association between them. We developed a two-piece linear regression model to calculate the inflection point utilizing a recursive strategy.

RESULTS

After adjusting for confounding variables, the odds ratios (ORs; 95 % CI) for the correlation between CDAI and depression were 0.75 (0.67, 0.84). A saturation effect emerged for the overweight group, following which we calculated the inflection point for the overweight population, which displayed ORs (95 % CI) of 0.62 (0.47, 0.80) before the inflection point of 0.83 and the ORs (95 % CI) of 1.01 (0.77, 1.31) after 0.83. The interaction was statistically significant in the sex stratification of the obese population.

CONCLUSIONS

Our study highlighted a negative association between CDAI and depression among overweight and obese adults. Saturation effects and sex differences were observed in the overweight population.

Untreated major depression in healthcare workers: Results from the nationwide AMADEUS survey

AIMS

Recent studies have suggested increased rates of depression in healthcare workers (HCWs), with direct impact on care quality and productivity. The objective was to determine the proportion of HCWs adequately treated for their major depression in a nationwide survey, the proportion of lifestyle risk factors for depression, and to determine if working in psychiatry department or professional status may modulate these outcomes.

DESIGN

The method followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement guidelines. A survey comprising the Center for Epidemiologic Studies-Depression Scale was sent to public and private national healthcare facilities.

RESULTS

Overall, 10,325 participants were recruited; 3438 (33.3%) [95% confidence interval 32.4-34.2] met likely diagnostic criteria for clinical depression. Almost 80% of them declared that they had a history of major depressive episode. However, only approximately 23% of them were treated with antidepressants and approximately 13% had a psychiatric follow-up. Depressed HCWs working in psychiatry departments received slightly better care for their depression, but they also consumed more anxiolytics and hypnotics and had more risk factors for depression (including smoking and hazardous drinking). We found specificities according to professions, physicians reported higher rates of hazardous drinking while nurses, nurse assistants, and health executives had higher rates of smoking and twice as much obesity as physicians.

CONCLUSION

Disseminating tools to detect major depression, programs destigmatizing depression and antidepressants, promoting physical activity, weight loss, tobacco cessation and reduced alcohol consumption are promising strategies to improve the care of major depression in HCWs.

RELEVANCE TO CLINICAL PRACTICE

Reducing depression in healthcare workers is necessary to improve the quality of care, to limit burnout, medical errors, absenteeism and turn-over and globally to improve the wellbeing at work.

The effect of serum calcium on the association of depression with infertility among U.S. women

This study aimed to explored the association between depressive symptoms and infertility among U.S. women, and the effect of serum calcium on this association. We used data from the National Health and Nutrition Examination Survey (2013-2018), relating to women aged 20-45 years. Depressive symptoms were determined using the nine-item Patient Health Questionnaire (PHQ-9 scores ≥10), and interview data were used to identify self-reported infertility. Of 2708 women (mean age: 32.7 ± 7.5 years), 274 were depressed and 12.0 % self-reported being "ever-infertile." Depressive symptoms were associated with infertility in multivariable logistic regression (OR, 1.62; 95 % CI, 1.11-2.38). Depressive symptoms were associated with infertility among participants who were obese (OR, 1.68; 95 % CI, 1.03-2.74), had not received psychological counseling (OR, 1.60; 95 % CI, 1.03-2.50), were antidepressant users (OR 3.22; 95 % CI, 1.15-9.00), and had high serum calcium levels (OR, 2.05; 95 % CI, 1.25-3.35). A significant interaction between serum calcium and depression was observed for infertility (P = .038, interaction likelihood ratio test). In sensitivity analyses, the association between depressive symptoms and infertility remained after excluding women aged ≥35 years (OR, 1.87; 95 % CI, 1.08-3.23), lowering the cut-off for PHQ-9 scores (≥5) (OR, 1.48; 95 % CI, 1.12-1.96), excluding women with some gynecological diseases (OR, 1.63; 95 % CI, 1.07-2.49), and using inverse probability of treatment weighting (OR, 1.64; 95 % CI, 1.17-2.31).

Conclusion

Our findings indicate that depression is associated with infertility among U.S. women and serum calcium may have an effect on the association. Interventions such as serum calcium reduction, weight management and psychosocial counseling for infertility treatment in individuals with depression may be integrated into routine clinical practice. Additionally, more caution could be exercised when using antidepressants.

Obesity and psychological distress

The relationship between high body weight and mental health has been studied for several decades. Improvements in the quality of epidemiological, mechanistic and psychological research have brought greater consistency to our understanding of the links. Large-scale population-based epidemiological research has established that high body weight is associated with poorer mental health, particularly depression and subclinical depressive symptoms. There is some evidence for bidirectional relationships, but the most convincing findings are that greater body weight leads to psychological distress rather than the reverse. Particular symptoms of depression and distress may be specifically related to greater body weight. The psychological stress induced by weight stigma and discrimination contributes to psychological distress, and may in turn handicap efforts at weight control. Heightened systemic inflammation and dysregulation of the hypothalamic-pituitary-adrenal axis are biological mechanisms that mediate in part the relationship of greater body weight with poorer mental health. Changing negative societal attitudes to high body weights would improve the wellbeing of people living with obesity, and promote more effective weight-inclusive attitudes and behaviours in society at large, particularly in healthcare settings. This article is part of a discussion meeting issue 'Causes of obesity: theories, conjectures and evidence (Part II)'.

Causal influence of sleeping phenotypes on the risk of coronary artery disease and sudden cardiac arrest: A Mendelian randomization analysis

OBJECTIVES

To assess the causal influence of sleep and circadian traits on coronary artery disease and sudden cardiac arrest with adjustment for obesity through a two-sample Mendelian randomization study.

METHODS

We used summary statistics of 5 sleep and circadian traits for genome-wide association studies, including chronotype, sleep duration, long sleep (≥9 h a day), short sleep (<7 h a day), and insomnia (sample size range: 237,622-651,295). Coronary artery disease genome-wide association studies with 60,801 cases and 123,504 controls, sudden cardiac arrest genome-wide association studies with 3939 cases and 25,989 controls, and obesity genome-wide association studies with 806,834 individuals were also used. Multivariable Mendelian randomization was performed to estimate the causality.

RESULTS

After adjusting for obesity, genetically predicted short sleep (odds ratio = 1.87 and p = .02), and genetically predicted insomnia (odds ratio = 1.17 and p = .001) were causally associated with increased odds of coronary artery disease. Genetically predicted long sleep (odds ratio = 0.06 and p = .02) and genetically predicted longer sleep duration (odds ratio = 0.36 for per-hour increase in sleep duration and p = .0006) were causally associated with decreased odds of sudden cardiac arrest.

CONCLUSIONS

The findings of this Mendelian randomization study indicate that insomnia and short sleep contribute to the development of coronary artery disease, whereas a longer sleep duration protects from sudden cardiac arrest, independent of the influence of obesity. The mechanisms underlying these associations warrant further investigation.

The moderating effect of self-efficacy between social constraints, social isolation, family environment, and depressive symptoms among breast cancer patients in China: a cross-sectional study

BACKGROUND

For female breast cancer patients, the psychological status after surgery, especially the social and family psychological-related factors, deserves more attention. This study analyzed the influence of social constraints, social support, social isolation, family conflict, and family emotion expression on depression. At the same time, this study conducted the relationship between the variables and the mechanism of action.

METHODS

We conducted a cross-sectional study and 522 breast cancer patients finished questionnaires consisting of Self-Rating Depression Scale (SDS), General Self-Efficacy Scale (GSES), Multi-Dimensional Scale of Perceived Social Support (MSPSS), Social Constraints Scale-5 (SCS-5), Family Environment Scale (FES), and Lubben Social Network Scale (LSNS-6). Multivariable logical regression was used to explore influencing factors. Pearson's correlation, hierarchical regression, and simple slope analysis were conducted to verify the role of self-efficacy.

RESULTS

71.6% of patients had depressive symptoms. Family contradiction (OR = 10.086), social constraints (OR = 2.522), social isolation (OR = 2.507), and high blood glucose (OR = 2.156) were risk factors of depressive symptoms. Family emotional expression (OR = 0.480), family intimacy (OR = 0.235), and self-efficacy (OR = 0.246) were protective factors against depressive symptoms. The interactive items interpretation quantity were as follows: Contradiction*Self-efficacy (ΔR2 = 2.3%, P < 0.001), Emotional expression*Self-efficacy (ΔR2 = 2.6%, P < 0.001), Intimacy*Self-efficacy (ΔR2 = 1.0%, P = 0.018), Social constraints*Self-efficacy (ΔR2 = 1.0%, P = 0.008), Social networks*Self-efficacy (ΔR2 = 1.0%, P = 0.010), Blood Glucose*Self-efficacy (ΔR2 = 0.6%, P = 0.023). The influence of independent variables on depressive symptoms was gradually decreased in the low, mean, and high groups of self-efficacy.

CONCLUSION

Postoperative Chinese breast cancer survivors reported higher depressive symptoms. Social, family, and physiological factors could affect depressive symptoms, in which self-factor played moderator roles.

Association between serum copper, zinc, and selenium concentrations and depressive symptoms in the US adult population, NHANES (2011-2016)

BACKGROUND

Evidence suggests that alterations in serum trace element concentrations are closely associated with mental illness. However, ​studies on the relationship between serum copper, zinc, and selenium concentrations and depressive symptoms are limited and with controversial results. We aimed to investigate the association between serum concentrations of these trace elements and depressive symptoms in US adults.

METHODS

Data from the National Health and Nutrition Examination Survey (NHANES) (2011-2016) were used in this cross-sectional study. The Patient Health Questionnaire-9 Items (PHQ-9) was employed to assess depressive symptoms. Multiple logistic regression was performed to determine the relationship between the serum concentrations of copper, zinc, and selenium and depressive symptoms.

RESULTS

A total of 4552 adults were included. Subjects with depressive symptoms had higher serum copper concentrations (123.88 ± 1.87) than those without depressive symptoms (116.99 ± 0.86) (p < 0.001). In Model 2, weighted logistic regression analysis showed that the second (Q2) quartile of zinc concentrations (odds ratio [OR] = 1.534, 95% confident interval [CI]: 1.018 to 2.313) were significantly associated with an increased risk of depressive symptoms. Subgroup analysis revealed that the third (Q3) and fourth (Q4) quartiles of copper concentrations (Q3: OR = 2.699, 95% CI: 1.285 to 5.667; Q4: OR = 2.490, 95% CI: 1.026 to 6.046) were also positively associated with depressive symptoms in obese individuals after controlling for all confounders. However, no significant relationship between serum selenium concentrations and depressive symptoms was observed.

CONCLUSIONS

Obese US adults with high serum copper concentrations, as well as US adults in general with low serum zinc concentrations, were susceptible to depressive symptoms. Nevertheless, the causal mechanisms underlying these relationships need to be further explored.

Association Between Depression and Physical Conditions Requiring Hospitalization

Importance

Depression is associated with an increased risk of physical illness, but the most common causes of hospitalization among people with depression are unclear.

Objective

To examine the association of depression with an array of physical conditions requiring hospital treatment.

Design, Setting, and Participants

In this outcomewide prospective multicohort study, primary analysis was based on data from the UK Biobank, a population-based study in the United Kingdom. Analyses were repeated in an independent data set of 2 cohorts in Finland, a population-based study and an occupational cohort. Data analysis was conducted between April and September 2022.

Exposures

Self-reported depression, recurrent severe major depression, recurrent moderate major depression, and a single major depressive episode.

Main Outcomes and Measures

A total of 77 common health conditions ascertained from linkage data to national hospital and mortality registries.

Results

The analytical sample of UK Biobank participants consisted of 130 652 individuals (71 565 women [54.8%]; 59 087 men [45.2%]; mean [SD] age at baseline, 63.3 [7.8] years). The pooled data from the Finnish replication cohorts included 109 781 participants (82 921 women [78.6%]; 26 860 men [21.4%]; mean [SD] age, 42 [10.8] years). In the main analysis, severe/moderately severe depression was associated with the incidence of 29 nonoverlapping conditions requiring hospital treatment during a 5-year follow-up. Twenty-five of these associations remained after adjustment for confounders and multiple testing (adjusted hazard ratio [HR] range, 1.52-23.03) and were confirmed in the analysis of the Finnish cohorts. These included sleep disorders (HR, 5.97; 95% CI, 3.27-10.89), diabetes (HR, 5.15; 95% CI, 2.52-10.50), ischemic heart disease (HR, 1.76; 95% CI, 1.36-2.29), chronic obstructive bronchitis (HR, 4.11; 95% CI, 2.56-6.60), bacterial infections (HR, 2.52; 95% CI, 1.99-3.19), back pain (HR, 3.99; 95% CI, 2.96-5.38), and osteoarthritis (HR, 1.80; 95% CI, 1.46-2.20). The highest cumulative incidence was observed for endocrine and related internal organ diseases (245 per 1000 persons with depression; risk difference relative to unaffected individuals: 9.8%), musculoskeletal diseases (91 per 1000 persons; risk difference, 3.7%), and diseases of the circulatory system and blood (86 per 1000 persons; risk difference, 3.9%). The cumulative incidence was lower for hospital-treated mental, behavioral, and neurological disorders (20 in 1000 persons; risk difference, 1.7%). Depression was also associated with disease progression in people with prevalent heart disease or diabetes, and for 12 conditions, there was evidence of a bidirectional relationship.

Conclusions and Relevance

In this study, the most common causes of hospitalization in people with depression were endocrine, musculoskeletal, and vascular diseases, not psychiatric disorders. These findings suggest that depression should be considered as a target for the prevention of physical and mental disease.

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

BACKGROUND/OBJECTIVES

Obesity 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/METHODS

The 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).

RESULTS

Meta-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.

CONCLUSIONS

Mendelian 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.

Impact of insulin and insulin resistance on brain dopamine signalling and reward processing- an underexplored mechanism in the pathophysiology of depression?

Type 2 diabetes and major depressive disorder (MDD) are the leading causes of disability worldwide and have a high comorbidity rate with fatal outcomes. Despite the long-established association between these conditions, the underlying molecular mechanisms remain unknown. Since the discovery of insulin receptors in the brain and the brain's reward system, evidence has accumulated indicating that insulin modulates dopaminergic (DA) signalling and reward behaviour. Here, we review the evidence from rodent and human studies, that insulin resistance directly alters central DA pathways, which may result in motivational deficits and depressive symptoms. Specifically, we first elaborate on the differential effects of insulin on DA signalling in the ventral tegmental area (VTA) - the primary DA source region in the midbrain - and the striatum as well as its effects on behaviour. We then focus on the alterations induced by insulin deficiency and resistance. Finally, we review the impact of insulin resistance in DA pathways in promoting depressive symptoms and anhedonia on a molecular and epidemiological level and discuss its relevance for stratified treatment strategies.

The efficacy of topical aminophylline in local fat reduction: A systematic review

Background and aims

Some studies have reported that the topical forms with aminophylline as the active ingredient appear to be relatively effective on local fat burning while having no/minimal side effects. This systematic review accumulates all of the data on the local fat-burning potency of aminophylline topical formulation.

Methods

Documents were retrieved from PubMed, Web of Science, and Scopus databases until Aug 2022. Data were extracted from clinical trials reporting the reduction in thigh or waist circumference as a result of using topical forms containing aminophylline. Screening of included studies was performed independently by two authors and the quality assessment of included studies was performed based on the Cochrane Collaboration's approach.

Results

Of the 802 initial studies, 5 studies were included in the systematic review. Several concentrations of aminophylline were used in different studies. Most studies administred the topical formulation on participants' one thigh, and the other thigh was considered to be the control for comparing the fat reduction amount. Except for one study, all other studies reported that all participants lost more fat on the treated area than the control groups. The amount of fat reduction differed in studies regarding their different aminophylline concentrations and administration routines. In the case of side effects, except for some studies reporting skin rashes, other studies reported no significant side effects at all.

Conclusions

Aminophylline topical formulation offers a safe, effective, and much less invasive alternative to cosmetic surgery for localized fat reduction. It seems that the 0.5% concentration, administered five times a week for five weeks is the most potent concentration. However, more high-quality clinical trials are needed to verify this conclusion.

Systematic review registration

https://www.crd.york.ac.uk/prospero/, identifier CRD42022353578.

Association between depressive symptoms and pericardial fat in healthy older men and women

Depressive symptoms are associated with increased risk for cardiovascular disease (CVD), and inflammation may contribute to this relationship. Pericardial fat, a highly metabolically active fat depot, is implicated in the pathogenesis of CVD, but its association with depressive symptoms is unclear. This study examined the cross-sectional and longitudinal association between depressive symptoms and pericardial fat over a three-year period. Participants were 543 healthy men and women (mean age = 62.9 years) without history or objective signs of coronary heart disease from the Whitehall II cohort. In men, depressive symptoms were positively associated with pericardial fat at baseline after adjustment for sociodemographics, waist to hip ratio and conventional cardiovascular risk factors. Inflammation, indexed by plasma interleukin 6 concentration, accounted for 17% of this association. Longitudinally, depressive symptoms did not predict pericardial fat three years later in men once baseline levels of pericardial fat were accounted for. No significant associations between depressive symptoms and pericardial fat were found in women. Overall, our findings suggest that greater pericardial fat might be a mechanism by which depressive symptoms are associated with increased risk for CVD in men, and inflammation may also lie on this pathway.