Depression and cardiovascular disease: mechanisms of interaction

Association between cardiorenal syndrome and depressive symptoms among the US population: a mediation analysis via lipid indices

BACKGROUND

Cardiovascular diseases (CVD), chronic kidney disease (CKD), and lipids are positively correlated with the presence of depressive symptoms. However, investigation into the complex link that exists between cardiorenal syndrome (CRS) and lipid indices and depression remains scarce.

METHODS

This study analyzed data from 11, 729 adults in the National Health and Nutritional Examination Surveys from 2005 to 2018. Weighted regression analysis was employed to examine the relationships between CRS and depression, CRS and the Patient Health Questionnaire-9 score, and lipid indices with depression. The restricted cubic spline analysis was used to determine whether there is a linear association between lipid indices and depression. Smooth curve fitting was employed to illustrate the relationship between lipids, depression, and cardiorenal diseases. Subgroup and sensitivity analyses were also conducted to enhance the stability of the results. Finally, we applied mediation analysis to explore whether the Atherogenic Index of Plasma (AIP), triglyceride glucose (TyG) index, and remnant cholesterol (RC) mediate the association between CRS and depression.

RESULTS

After applying propensity score matching (PSM), 1,509 adults remained in the study. After PSM, more remarkable results were rendered that CRS was associated with depression compared with non-CRS (OR: 1. 240, 95% CI: 1. 237 ~ 1. 243), only-CVD (OR: 0. 646, 95% CI: 0. 644 ~ 0. 649), and only-CKD (OR: 1.432, 95% CI: 1.428 ~ 1.437) in a fully corrected model. Smooth curve fitting shows that the intersection point of the lines of CRS and non-CRS occurs at a higher value on the horizontal axis than the intersection point of the lines representing CVD and non-CVD. In the fully corrected model, AIP, TyG, and RC did not independently mediate the association between CRS and depression.

CONCLUSION

There was a significant association between CRS and depression and a linear relationship between AIP, TyG, and RC and depression. However, the above lipid indicators did not mediate the association between CRS and depression.

Harnessing Wearables and Digital Technologies to Decode the Cardiovascular Exposome

The cardiovascular exposome encompasses the array of external and internal factors affecting cardiovascular health throughout life, inviting comprehensive monitoring and analysis to enhance prevention, diagnosis, and treatment strategies. Wearable and digital technologies have emerged as promising tools in this domain, offering longitudinal, real-time data on physiological parameters such as heart rate, heart rhythm, physical activity, and sleep patterns. This review explores the advancements in wearable sensor technology, the methodologies for data collection and analysis, and the integration of these technologies into clinical practice and research. Primary findings indicate significant improvements in device accuracy and functionality, facilitated by enhanced sensor technology, artificial intelligence, and data connectivity. These advancements enable precise monitoring, early detection of cardiovascular anomalies, and personalized healthcare interventions. Ultimately, wearables and digital health technologies have the potential to facilitate a deeper understanding of cardiovascular disease and behavior and bridge gaps in traditional healthcare models to help usher in more efficient, personalized, patient-centered care.

A Potential Role for MAGI-1 in the Bi-Directional Relationship Between Major Depressive Disorder and Cardiovascular Disease

PURPOSE OF REVIEW

Major Depressive Disorder (MDD) is characterized by persistent symptoms such as fatigue, loss of interest in activities, feelings of sadness and worthlessness. MDD often coexist with cardiovascular disease (CVD), yet the precise link between these conditions remains unclear. This review explores factors underlying the development of MDD and CVD, including genetic, epigenetic, platelet activation, inflammation, hypothalamic-pituitary-adrenal (HPA) axis activation, endothelial cell (EC) dysfunction, and blood-brain barrier (BBB) disruption.

RECENT FINDINGS

Single nucleotide polymorphisms (SNPs) in the membrane-associated guanylate kinase WW and PDZ domain-containing protein 1 (MAGI-1) are associated with neuroticism and psychiatric disorders including MDD. SNPs in MAGI-1 are also linked to chronic inflammatory disorders such as spontaneous glomerulosclerosis, celiac disease, ulcerative colitis, and Crohn's disease. Increased MAGI-1 expression has been observed in colonic epithelial samples from Crohn's disease and ulcerative colitis patients. MAGI-1 also plays a role in regulating EC activation and atherogenesis in mice and is essential for Influenza A virus (IAV) infection, endoplasmic reticulum stress-induced EC apoptosis, and thrombin-induced EC permeability. Despite being understudied in human disease; evidence suggests that MAGI-1 may play a role in linking CVD and MDD. Therefore, further investigation of MAG-1 could be warranted to elucidate its potential involvement in these conditions.

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.

Combined influence of depression symptoms and ratio of triglyceride to high-density lipoprotein cholesterol on cardiometabolic multimorbidity: Findings from the China Health and Retirement Longitudinal Study 2011-2018

BACKGROUND

Previous studies had reported depression symptoms and TG/HDLC ratio may share pathophysiological pathway. The aim was to investigate the combined effects of depression symptoms and TG/HDL-C ratio on the risk of CMM.

METHODS

This cohort study extracted data from 2011 to 2018 of CHARLS. The CMM event occurred from 2013 to 2018, defined as suffering from more than one of stroke, cardiac events, and diabetes mellitus. Cox proportional hazards regression models were used to assess the association between the baseline combined effects of depression symptoms and TG/HDL-C ratio with incidence of CMM, stroke, cardiac events, and diabetes mellitus.

RESULTS

A total of 8349 participants (3966 men and 4383 women) were included in the study, with a mean age of 58.5 years. During a 7-year follow-up survey, 370 (4.43 %) participants developed CMM. Compared to individuals with no depression symptoms and low TG/HDLC ratio, the multivariable-adjusted HRs (95%CI) for the new-onset CMM for patients with the depression symptoms alone, high TG/HDLC ratio alone, and depression symptoms and high TG/HDLC ratio were 1.37 (95 % CI = 0.95-1.98), 1.62 (95 % CI = 1.22-2.14), 1.94 (95 % CI = 1.39-2.72), respectively (P < 0.001).

LIMITATIONS

Firstly, potential confounding factors such as dietary intake and nutrition were not collected at the time of study design. Secondly, exposure to the outcome was self-reported, which may cause recall bias or misclassification. Finally, the population was aged ≥45 years, so the results cannot be generalized to all age groups.

CONCLUSION

Our findings indicated that patients with depression and high TG/HDLC ratio had a higher risk of developing CMM.

Association between fear of falling and mortality in middle-aged and older adults: A systematic review and meta-analysis

BACKGROUND

Fear of falling (FOF) has emerged as a significant public health issue, contributing to excess disability among middle-aged and older adults. The association between FOF and mortality remains unclear.

METHODS

Prominent electronic databases (PubMed, Web of Science, the Cochrane Library, Embase, CINHAL, PsycINFO, Scopus, China National Knowledge Infrastructure, China Biology Medicine disc, and Wanfang Database) were searched from inception until October 21, 2023 (data updated on June 9, 2024), for cohort or longitudinal studies investigating the association between FOF and mortality. The heterogeneity between studies was quantitatively assessed using I2. A fixed-effect model calculated the pooled effect size.

RESULTS

A total of seven cohort studies, including 27,714 participants, were analyzed in this systematic review and meta-analysis. The meta-analysis results demonstrated a positive association between FOF and mortality, with a significant increase in the risk of mortality for those with FOF (hazard ratio [HR]:1.29, 95 % confidence interval [CI]: 1.19-1.41, p < 0.05). Subgroup analysis indicated that age, male sex, clinical diagnosis of depression, number of chronic diseases, activity restriction due to FOF, and FOF levels were associated with mortality.

CONCLUSIONS

FOF and mortality have a positive association, which needs to be confirmed by further prospective studies with large samples and long-term follow-up to provide evidence for clinicians to intervene in FOF to reduce mortality in middle-aged and older adults.

The association between levels of brain-derived neurotrophic factor and comorbid depression in patients with cardiovascular disease: The Framingham Heart Study

AIM

The current study aims to investigate the association of serum brain-derived neurotrophic factor (BDNF) levels with symptoms of depression in adults with and without prevalent cardiovascular disease (CVD), an often burdensome comorbidity.

METHODS

This cross-sectional study included participants from FHS (Framingham Heart Study) who had available serum BDNF levels. Depressive symptoms were assessed using the Center for Epidemiological Studies-Depression Scale (CES-D) with a score ≥16 indicating mild to moderate and ≥21 severe depression. Participants taking antidepressant medications were excluded from the study.

RESULTS

Altogether 3716 FHS participants were included in the final analysis (mean age, 64.3 ± 11.5 years; 55% women). After adjusting for potential confounders, greater BDNF levels were associated with reduced severe depression risk (odds ratio [OR], 0.78 [95% CI, 0.64-0.96]; P = 0.016). Among participants with CVD, greater BDNF levels were related to lower risk of depressive symptoms (CES-D ≥ 16 OR, 0.63 [95% CI, 0.45-0.89], P = 0.008; CES-D ≥ 21 OR, 0.49 [95% CI, 0.31-0.76], P = 0.002). The inverse relationship between BDNF and depressive symptom risk was present in women with CVD (CES-D ≥ 16 OR, 0.63 [95% CI, 0.40-0.99], P = 0.047; CES-D ≥ 21 OR, 0.38 [95% CI, 0.21-0.70], P = 0.002) but not in men.

CONCLUSION

Lower serum BDNF levels are associated with a higher risk of depressive symptoms in CVD, particularly among women. These findings implicate BDNF in the complex biological mechanisms that underlie prior associations observed between CVD and depression. To reduce the burden of depression in the large proportion of midlife and older adults with CVD, a better understanding of how BDNF may modify these pathways is merited.

Associations of psychosocial factors and cardiovascular health measured by Life's Essential 8: The Atherosclerosis Risk in Communities (ARIC) study

AIMS

Few studies investigate whether psychosocial factors (social isolation, social support, trait anger, and depressive symptoms) are associated with cardiovascular health, and none with the American Heart Association's new definition of cardiovascular health, Life's Essential 8 (LE8). Therefore, we assessed the cross-sectional associations of psychosocial factors with Life's Essential 8 and individual components of Life's Essential 8.

METHODS

We included 11,311 Atherosclerosis Risk in Communities cohort participants (58% females; 23% Black; mean age 57 (standard deviation: 6) years) who attended Visit 2 (1990-1992) in this secondary data analysis using cross-sectional data from the ARIC cohort study. Life's Essential 8 components included diet, physical activity, nicotine exposure, sleep quality, body mass index, blood lipids, blood glucose, and blood pressure. Life's Essential 8 was scored per the American Heart Association definition (0-100 range); higher scores indicate better cardiovascular health. Associations of categories (high, moderate, and low) of each psychosocial factor with continuous Life's Essential 8 score and individual Life's Essential 8 components were assessed using multivariable linear regressions.

RESULTS

11% of participants had high Life's Essential 8 scores (80-100), while 67% and 22% had moderate (50-79) and low Life's Essential 8 scores (0-49) respectively. Poor scores on psychosocial factor assessments were associated with lower Life's Essential 8 scores, with the largest magnitude of association for categories of depressive symptoms (low β = Ref.; moderate β = -3.1, (95% confidence interval: -3.7, -2.5; high β = -8.2 (95% confidence interval: -8.8, -7.5)). Most psychosocial factors were associated with Life's Essential 8 scores for diet, physical activity, nicotine, and sleep, but psychosocial factors were not associated with body mass index, blood lipids, blood glucose, or blood pressure.

CONCLUSION

Less favorable measures of psychosocial health were associated with lower Life's Essential 8 scores compared better measures of psychosocial health among middle-aged males and females.

The effects of health risk behaviors to excess mortality in the population with depression: A cohort study based on NHANES data

BACKGROUND

The population with depression had a considerable excess mortality risk. This increased mortality may be attributed to the biological consequences of depression or the substantial prevalence of health risk behaviors (HRBs). This study aimed to quantify the combined effects of four major HRBs - smoking, excessive alcohol use, physical inactivity, and an unhealthy diet - on excess mortality among depressed individuals.

METHODS

This study included 35,738 adults from the National Health and Nutrition Examination Survey 2005-06 to 2017-18, with mortality follow-up data censored through 2019. The standardized prevalence of HRBs was calculated for populations with and without depression. Poisson regression models were used to calculate the mortality rate ratio (MRR). Based on model adjusting for socio-demographic factors, the attenuation of MRR was determined after further adjustment for HRBs.

RESULTS

A total of 3147 participants were identified as having depression. All HRBs showed a significantly higher prevalence among the population with depression. After adjusting for socio-demographic factors, depression was associated with 1.7 and 1.8 times higher all-cause and cardiovascular disease mortality rate, respectively. Further adjustment for all current HRBs resulted in a 21.9 % reduction in all-cause mortality rate and a 15.4 % decrease in cardiovascular disease mortality rate.

LIMITATION

HRBs were reported at a single time point, and we are unable to demonstrate a causal effect.

CONCLUSION

At least 1/5 of excess mortality for population with depression was attributable to HRBs. Efforts should be made to address HRBs among population with depression.

Development and validation of a prediction score to assess the risk of depression in primary care

BACKGROUND

Major depression is the most frequent psychiatric disorder and primary care is a crucial setting for its early recognition. This study aimed to develop and validate the DEP-HScore as a tool to predict depression risk in primary care and increase awareness and investigation of this condition among General Practitioners (GPs).

METHODS

The DEP-HScore was developed using data from the Italian Health Search Database (HSD). A cohort of 903,748 patients aged 18 years or older was selected and followed until the occurrence of depression, death or end of data availability (December 2019). Demographics, somatic signs/symptoms and psychiatric/medical comorbidities were entered in a multivariate Cox regression to predict the occurrence of depression. The coefficients formed the DEP-HScore for individual patients. Explained variance (pseudo-R2), discrimination (AUC) and calibration (slope estimating predicted-observed risk relationship) assessed the prediction accuracy.

RESULTS

The DEP-HScore explained 18.1 % of the variation in occurrence of depression and the discrimination value was equal to 67 %. With an event horizon of three months, the slope and intercept were not significantly different from the ideal calibration.

LIMITATIONS

The DEP-HScore has not been tested in other settings. Furthermore, the model was characterized by limited calibration performance when the risk of depression was estimated at the 1-year follow-up.

CONCLUSIONS

The DEP-HScore is reliable tool that could be implemented in primary care settings to evaluate the risk of depression, thus enabling prompt and suitable investigations to verify the presence of this condition.

Age exacerbates the negative effect of depression on executive functioning in racial and ethnic minorities

Age and depression may interact to produce a "double jeopardy" for cognitive impairment, and executive functioning, in cognitively unimpaired aging. Few studies have considered middle age or the ethnoracial diversity of subjects, despite evidence of more severe cognitive outcomes in historically minoritized people. In this pilot study, we investigated the impact of age on depression-related cognitive impairment and the underlying brain volumes in middle-aged non-Hispanic White adults (116), and Hispanic and Black adults (60), with a total number of 176 adults. The result shows a significant interaction between age and depression for executive functioning, specifically for middle-aged Hispanic and Black adults, but not non-Hispanic White adults. Prefrontal cortex volumes, which were reduced in the Black and Hispanic compared to the non-Hispanic White adults, partially mediated the relationship between depression level and executive functioning, across age and ethnoracial group. Collectively, these results suggest that the negative impact of depression on executive functioning and Prefrontal cortex volumes integrity may be exacerbated by age and that historically minoritized people may be particularly sensitive to this double jeopardy.

Sleep is Essential for Cardiovascular Health: An Analytic Review of the Relationship Between Sleep and Cardiovascular Mortality

The American Heart Association recently included sleep health as one of eight factors that define cardiovascular health. Restorative sleep is a pillar of lifestyle medicine influenced by sleep duration, quality, and disorders. Short and long sleep duration are associated with greater risk of cardiovascular disease. Short sleep appears causally related to cardiovascular risk. Long sleep is more strongly predictive of cardiovascular risk, which may be due to comorbidities and other risk factors. Good-quality sleep appears to protect against the increased risk and is independently associated with risk of cardiovascular disease (CVD). Insomnia, particularly difficulty falling asleep and non-restorative sleep, is associated with an increase in cardiac events. Obstructive sleep apnea (OSA) is associated with cardiac risk and outcomes, which is typically observed in the context of contributing comorbidities. However, treating OSA with continuous positive airway pressure (CPAP) may not improve prognosis. Further research is needed to understand the causal mechanisms connecting sleep health with CVD and whether modifying sleep can improve outcomes. Sleep health should be considered as part of a holistic approach to improving cardiovascular health, as reflected in the scoring of LE8 and as one of the interrelated components of lifestyle medicine.

Identification of depression in patients with acute coronary syndrome using multiple serum biomarkers

BACKGROUND

Biomarkers for depression in patients with acute coronary syndrome (ACS) have not been identified.

METHODS

This study evaluated multiple serum biomarkers for depressive disorders after ACS. Thirteen serum biomarkers associated with seven functional systems, along with sociodemographic/clinical characteristics, were evaluated in 969 patients within 2 weeks after ACS onset (acute phase). In total, 711 patients were evaluated for depressive disorder using DSM-IV criteria 1 year later (chronic phase). Logistic regression was used for the analysis.

RESULTS

Depressive disorders were observed in 378 patients (39.0%) in the acute phase of ACS and 183 patients (25.7%) in the chronic phase. The weighted scores of five serum biomarkers (high-sensitivity C-reactive protein, interleukin-6, homocysteine, troponin I, and creatine kinase-MB) were significantly associated with depressive disorder diagnosis in the acute phase, and the weighted scores of three other biomarkers (tumor necrosis factor-alpha, interleukin-1 beta, and homocysteine) were significantly associated with depressive disorders in the chronic phase, in a dose-dependent manner after adjusting for relevant covariates (all P-values <0.001).

CONCLUSIONS

The combination of several serum biomarkers exhibited robust associations with depressive disorders in both the acute and chronic phases of ACS.

Interaction between sleep duration and trouble sleeping on depressive symptoms among U.S. adults, NHANES 2015-2018

BACKGROUND

This study aims to examine the associations and interaction effects of sleep duration and trouble sleeping on depressive symptoms among U.S. adults.

METHODS

National Health and Nutrition Examination Survey (NHANES) data from 2015 to 2018 were analyzed (N = 10,044). Trouble sleeping and sleep duration were self-reported. Sleep duration was defined as short (≤6 h) or long (≥9 h), compared with normal (>6 and < 9 h). Depressive symptoms were determined by the Patient Health Questionnaire-9 score ≥ 10. Both multiplicative interaction and additive interaction were reported.

RESULTS

There was a significant positive additive interaction between short sleep duration and trouble sleeping on depressive symptoms in the fully adjusted model (Relative excess risk due to interaction, RERIOR = 4.42, 95 % CI: 1.12, 7.73), with 43 % of the association with depressive symptoms attributed to the interaction (attributable proportion of interaction, AP = 0.43, 95 % CI: 0.22, 0.64). Similarly, a significant positive additive interaction between long sleep duration and trouble sleeping on depressive symptoms was found (RERIOR = 4.17, 95 % CI: 0.96, 7.38), with 41 % of the association with depressive symptoms attributed to the interaction (AP = 0.41, 95 % CI: 0.21, 0.60). No multiplicative interaction was detected between short or long sleep duration and trouble sleeping.

LIMITATIONS

The cross-sectional design limits the ability to draw causal inferences.

CONCLUSIONS

Findings suggest that different aspects of sleep health interact synergistically, accounting for a substantial portion of the association with depressive symptoms. This underscores the importance of simultaneously considering multiple dimensions of sleep health in relation to depressive symptoms.

The existence of a bidirectional link between ischemic heart disease and fibromyalgia

STUDY OBJECTIVES

Fibromyalgia (FM) is one of the most common causes of chronic widespread musculoskeletal pain, but also sleep disturbances, cognitive and psychological disorders. It has been suggested that FM may have a correlation with cardiovascular events. In this study, we aimed to assess the association between FM and ischemic heart disease (IHD).

METHODS

A population-based cross-sectional study was conducted utilizing data retrieved from the largest medical records database in Israel, Clalit Health Services. Patients were defined as having FM or IHD when there were at least two such documented diagnoses in their medical records. The occurrence of IHD was compared between FM and age- and sex-frequency-matched healthy controls. A logistic regression model was used to estimate this association following an adjustment for conventional cardiovascular risk factors and depression.

RESULTS

An overall population of 18 598 FM patients and 36 985 age- and gender-matched controls were included in the study. The proportion of IHD amongst FM patients was increased in comparison to controls (9.2% and 6.2%, respectively; P  < 0.001). Furthermore, FM demonstrated an independent association with IHD on multivariate analysis (odds ratio [OR], 1.43; 95% confidence intervals [CI], 1.33-1.54; P  < 0.0001). Finally, IHD was also found to be independently associated with the diagnosis of FM (OR, 1.40; CI, 1.31-1.51; P  < 0.0001).

CONCLUSION

Our data suggest a bidirectional link between FM and IHD even after the adjustment for conventional cardiovascular risk factors. These findings should be considered when treating patients with either FM or IHD, and their routine interactional screening may be of clinical importance.

Physical activity, suicidal ideation, suicide attempt and death among individuals with mental or other medical disorders: A systematic review of observational studies

A growing body of research has demonstrated the potential role for physical activity as an intervention across mental and other medical disorders. However, the association between physical activity and suicidal ideation, attempts, and deaths has not been systematically appraised in clinical samples. We conducted a PRISMA 2020-compliant systematic review searching MEDLINE, EMBASE, and PsycINFO for observational studies investigating the influence of physical activity on suicidal behavior up to December 6, 2023. Of 116 eligible full-text studies, seven (n = 141691) were included. Depression was the most frequently studied mental condition (43%, k = 3), followed by chronic pain as the most common other medical condition (29%, k = 2). Two case-control studies examined suicide attempts and found an association between physical activity and a reduced frequency of such attempts. However, in studies examining suicidal ideation (k = 3) or suicide deaths (k = 2), no consistent associations with physical activity were observed. Overall, our systematic review found that physical activity may be linked to a lower frequency of suicide attempts in non-prospective studies involving individuals with mental disorders.

Depressive symptoms, lifestyle behaviors, and risk of cardiovascular disease and mortality in individuals of different socioeconomic status: A prospective cohort study

BACKGROUND

Depression is a global health issue, associated with increased risk of cardiovascular disease (CVD) and premature death, but whether the association varied across different socioeconomic status (SES), and mechanisms responsible for this association is unclear. We aimed to evaluate the association of depressive symptoms with the risk of incident CVD and mortality in people of low, medium, and high SES, and determine the extent to which lifestyle behaviors could explain the association.

METHODS

This study included 314,800 participants from the UK Biobank. Depressive symptoms were assessed using the Patient Health Questionnaire-2 (PHQ-2). Information on socioeconomic status and lifestyle was obtained from baseline assessment.

RESULTS

During 12 years of follow-up, 29,074 incident CVD cases and 16,673 deaths were documented. The increased CVD risk in participants with depressive symptoms (versus without) was more pronounced as SES decreased, with hazard ratios (HRs) and 95% confidence intervals (CIs) of 1.30 (1.22, 1.39), 1.27 (1.17, 1.37), and 1.17 (0.97, 1.41) in participants of low, medium, and high SES, respectively. The corresponding HRs (95% CIs) for all-cause mortality were 1.16 (1.07, 1.26), 1.21 (1.08, 1.36), and 1.24 (0.95, 1.61). In addition, multiple lifestyle factors together explained 14.4% to 32.8% of the elevated CVD and mortality risk due to depressive symptoms.

LIMITATIONS

Moderate sensitivity of PHQ-2, lacked information on the severity of depression, baseline measurement of lifestyle.

CONCLUSIONS

Depressive symptoms were associated with higher risks of incident CVD and mortality, especially in low SES groups, and lifestyle behaviors only explained a moderate proportion of the association. These findings indicated that health policies targeting healthy lifestyle promotion alone might not be sufficient, and other measures tackling social inequity are warranted to attenuate the elevated health risk due to depression.

Association of perceived discrimination with the risk of depression among US older adults: A prospective population-based cohort study

Aims

Association between perceived discrimination and depression has been demonstrated in some sources of discrimination, such as age, sex, and race. However, the effects of perceived discrimination both in any domain and each domain on development of depression are still unclear. We aimed to estimate the association of any and each domain of perceived discrimination with the risk of depression among US older adults.

Methods

We did a population-based cohort study using eight waves (from 2006 to 2020) of data from the Health and Retirement Study (HRS), a nationally representative study of US older adults aged 51 years and above. Perceived discrimination was measured by the shortened 5-item version of Williams' discrimination scale, including five domains (less courtesy, service setting, not smart, threatened or harassed, and medical setting). Depressive symptoms were assessed with shortened 8-item version of the Center for Epidemiological Depression scale (8-item CES-D). Cox proportional hazards models were used to estimate the crude and adjusted hazards ratio (HRs) and their 95 % confidence intervals (CIs) between perceived discrimination and risk of depression, after controlling for potential confounders.

Results

A total of 18502 participants were included in our final analyses. 42.8 % of them had any perceived discrimination at baseline, and the most prevalent perceived discrimination was feeling less courtesy, which was observed in 5893 people (31.6 %). During a median of 9.8 years follow-up, 44.7 % of participants developed depression. The risk of depression was 46 % (adjusted HR: 1.46, 95 % CI: 1.39-1.52) higher among people with perceived discrimination than those without. The associations between perceived discrimination in each domain and risk of depression were all prominent.

Conclusions

Both any and each domain of perceived discrimination were associated with an increased risk of depression. Considering the high prevalence of perceived discrimination and the following poor health outcomes, our findings suggested the integrated measures of providing public education and diversified communication to reduce discrimination, as well as accessible emotional supports to prevent depression are urgently needed.

Association of living alone and living alone time with hypertension among Chinese men aged 80 years and older: a cohort study

Objective

There is little evidence of the influence of living alone on hypertension risk among men 80 years or older. Additionally, the influence of living alone duration on hypertension risk lacks thorough investigation. Hence, this cohort study examines living alone and its duration's link to hypertension risk in this specific group.

Methods

We included 2009 older men aged ≥80 years without hypertension from the Chinese Longitudinal Healthy Longevity Survey in the 2008 wave. Follow-up was conducted in the 2011 wave. Multivariable Cox proportional hazards models estimated hazard ratios (HRs) and 95% confidence intervals (CIs) to assess hypertension risk related to living alone and living alone time.

Results

We included 2,009 older men, with a mean age of 90.7 years (standard deviation: 6.8). Over a median follow-up of 2.9 (1.3-3.0) years, 573 participants (28.5%) developed hypertension. Living alone was significantly associated with a higher hypertension risk than living with family (HR: 1.42; 95% CI 1.11-1.80). When compared to living with family, the hypertension risk was increased in the first quartile of living alone time (0-6.1 years) (HR: 1.76; 95% CI 1.16-2.66), the second quartile (6.1-10.6 years) (HR: 1.56; 95% CI 1.07-2.29), and the third quartile (10.6-19.3 years) (HR: 1.66; 95% CI 1.08-2.55). Surprisingly, no significant association was found in the fourth quartile (≥19.3 years) with hypertension risk. Stratified and Interaction analyses indicated no significant interaction effects between subgroups. Sensitivity analyses yielded consistent results.

Conclusion

Living alone was independently associated with an increased risk of hypertension in older men. The highest risk was found in those with the least time alone. These findings imply that social isolation and lack of companionship could be pivotal in hypertension development. Furthermore, the study highlights the need to consider living alone duration when assessing its impact on health outcomes.

Association of Depression and Cardiovascular Disease

BACKGROUND

Cardiovascular disease remains the leading worldwide cause of mortality. There has been increased awareness of the impact of psychological health on cardiovascular disease. In particular, major depression has been linked to increased all-cause mortality, development of cardiovascular disease, and worse outcomes in those with existing cardiovascular disease.

METHODS

We conducted a meta-analysis assessing the incidence of cardiovascular disease and cardiovascular disease outcomes among those with major depressive disorder.

RESULTS

Among 26 studies of 1,957,621 individuals, depression was associated with increased risk of incident stroke (hazard ratio [HR] 1.13; 95% confidence interval [CI], 1.00-1.28), myocardial infarction (HR 1.28; 95% CI, 1.14-1.45), congestive heart failure (HR 1.04; 95% CI, 1.00-1.09), or any cardiovascular disease (HR 1.16; 95% CI, 1.04-1.30). Depression was associated with increased risk of all-cause mortality (HR 1.43; 95% CI, 1.27-1.60), cardiovascular disease mortality (HR 1.44; 95% CI, 1.27-1.63), and congestive heart failure mortality (HR 3.20; 95% CI, 1.29-7.94).

CONCLUSION

Depression has a significant negative impact on development of cardiovascular disease and on cardiovascular disease outcomes. Further efforts to understand and mitigate these impacts are prudent.

Selective breeding of rats for high (HAB) and low (LAB) anxiety-related behaviour: A unique model for comorbid depression and social dysfunctions

Animal models of selective breeding for extremes in emotionality are a strong experimental approach to model psychopathologies. They became indispensable in order to increase our understanding of neurobiological, genetic, epigenetic, hormonal, and environmental mechanisms contributing to anxiety disorders and their association with depressive symptoms or social deficits. In the present review, we extensively discuss Wistar rats selectively bred for high (HAB) and low (LAB) anxiety-related behaviour on the elevated plus-maze. After 30 years of breeding, we can confirm the prominent differences between HAB and LAB rats in trait anxiety, which are accompanied by consistent differences in depressive-like, social and cognitive behaviours. We can further confirm a single nucleotide polymorphism in the vasopressin promotor of HAB rats causative for neuropeptide overexpression, and show that low (or high) anxiety and fear levels are unlikely due to visual dysfunctions. Thus, HAB and LAB rats continue to exist as a reliable tool to study the multiple facets underlying the pathology of high trait anxiety and its comorbidity with depression-like behaviour and social dysfunctions.

Association between depression and blood pressure in community-dwelling older adults: focus on Bushehr elderly health (BEH) program

INTRODUCTION

Depression and increased blood pressure are significant burdens in elderly care. This study was conducted to discover the association between hypertension (HTN) and depression based on data obtained from the Bushehr Elderly Health (BEH) program in a large population of Iranian elderly in Bushehr, southern Iran.

METHODS

This study was carried out based on data obtained from the Bushehr Elderly Health (BEH) program in a large population of Iranian elderly in Bushehr, a southern city in Iran. 2419 old adults were included in the study through multi-stage random sampling. Depression was assessed using Patient Health Questionnaire-9 (PHQ-9), and blood pressure was measured using a standard mercury sphygmomanometer. Statistical analysis was conducted via chai-square, analysis of variance (ANOVA), and univariate and multivariate linear regression tests.

RESULTS

The mean age of participants was 69.95 ± 6.95 years. The prevalence of depression was 23.8%. Diastolic blood pressure (DBP) decreased with increasing PHQ score (B=-0.001; 95%CI: -0.00 to -0.00, P-value = 0.011). In the final model adjusted for confounding variables, no significant association was found between depression score and DBP (B=-0.00; 95%CI: -0.00 to 0.00, P = 0.13). Conversely, in the final model, which included the confounding variable, SBP was significantly associated with depression. It was deduced that a variable acted as a negative confounder in this association; in a way that with increased depression score, SBP significantly decreased (B=-0.00; 95% CI: -0.00 to -0.00, P = 0.04).

CONCLUSION

Depression and its related medications could be significantly associated with controlled SBP. Health practitioners in primary health care centers must monitor the elderly inflicted with HTN for early symptoms of depression to help maintain blood pressure levels using medicinal and non-medicinal interventions.

Exploring the Heart-Mind Connection: Unraveling the Shared Pathways between Depression and Cardiovascular Diseases

Civilization diseases are defined as non-communicable diseases that affect a large part of the population. Examples of such diseases are depression and cardiovascular disease. Importantly, the World Health Organization warns against an increase in both of these. This narrative review aims to summarize the available information on measurable risk factors for CVD and depression based on the existing literature. The paper reviews the epidemiology and main risk factors for the coexistence of depression and cardiovascular disease. The authors emphasize that there is evidence of a link between depression and cardiovascular disease. Here, we highlight common risk factors for depression and cardiovascular disease, including obesity, diabetes, and physical inactivity, as well as the importance of the prevention and treatment of CVD in preventing depression and other mental disorders. Conversely, effective treatment of CVD can also help prevent depression and improve mental health outcomes. It seems advisable to introduce screening tests for depression in patients treated for cardiac reasons. Importantly, in patients treated for mood disorders, it is worth controlling CVD risk factors, for example, by checking blood pressure and pulse during routine visits. It is also worth paying attention to the mental condition of patients with CVD. This study underlines the importance of interdisciplinary co-operation.

Increased Dispersion of Ventricular Repolarization as an Arrhythmic Risk Marker in Drug-free Patients With Major Depressive Disorder: A Preliminary Comparative Study

OBJECTIVE

Drug-free patients with major depressive disorder (MDD) are understudied in terms of increased risk for arrhythmias. In this study, we compared changes in corrected QT interval (QTc), QTc dispersion (QTcd), Tpeak-Tend (Tp-e), Tp-e/QT ratio, corrected JT interval (JTc), and JTc dispersion (JTcd), which are considered to be among the risk factors for the emergence of ventricular arrhythmias in patients with MDD.

METHODS

The study involved 50 patients with MDD who had been free of psychotropic medications for at least 1 month and 52 age-matched and sex-matched healthy controls. Illness-related characteristics, including duration of illness and Beck Depression Inventory scores, were recorded. Electrocardiography recordings made under a standardized procedure were performed for all participants, and arrhythmia risk markers were calculated from the electrocardiograms.

RESULTS

The patient group had significantly higher QTcd, JTc, and JTcd values compared with the controls. Among electrocardiogram markers, only Tp-e/QTc was significantly and inversely correlated with the duration of illness, while none of the markers was associated with Beck Depression Inventory scores.

CONCLUSIONS

Alterations in electrocardiogram-derived markers of ventricular arrhythmia, which can be obtained easily and inexpensively, can be evaluated for the prediction and prevention of severe cardiac conditions in patients with MDD and considered in selecting the safest antidepressant options available.

Prediction of Incident Depression in Middle-aged and Older Adults Using Digital Gait Biomarkers Extracted From Large-Scale Wrist Sensor Data

OBJECTIVES

To determine if digital gait biomarkers captured by a wrist-worn device can predict the incidence of depressive episodes in middle-age and older people.

DESIGN

Longitudinal cohort study.

SETTING AND PARTICIPANTS

A total of 72,359 participants recruited in the United Kingdom.

METHODS

Participants were assessed at baseline on gait quantity, speed, intensity, quality, walk length distribution, and walk-related arm movement proportions using wrist-worn accelerometers for up to 7 days. Univariable and multivariable Cox proportional-hazard regression models were used to analyze the associations between these parameters and diagnosed incident depressive episodes for up to 9 years.

RESULTS

A total of 1332 participants (1.8%) had incident depressive episodes over a mean of 7.4 ± 1.1 years. All gait variables, except some walk-related arm movement proportions, were significantly associated with the incidence of depressive episodes (P < .05). After adjusting for sociodemographic, lifestyle, and comorbidity covariates; daily running duration, steps per day, and step regularity were identified as independent and significant predictors (P < .001). These associations held consistent in subgroup analysis of older people and individuals with serious medical conditions.

CONCLUSIONS AND IMPLICATIONS

The study findings indicate digital gait quality and quantity biomarkers derived from wrist-worn sensors are important predictors of incident depression in middle-aged and older people. These gait biomarkers may facilitate screening programs for at-risk individuals and the early implementation of preventive measures.

Exploring the bi-directional relationship and shared genes between depression and stroke via NHANES and bioinformatic analysis

Background: Stroke and depression are the two most common causes of disability worldwide. Growing evidence suggests a bi-directional relationship between stroke and depression, whereas the molecular mechanisms underlying stroke and depression are not well understood. The objectives of this study were to identify hub genes and biological pathways related to the pathogenesis of ischemic stroke (IS) and major depressive disorder (MDD) and to evaluate the infiltration of immune cells in both disorders. Methods: Participants from the United States National Health and Nutritional Examination Survey (NHANES) 2005-2018 were included to evaluate the association between stroke and MDD. Two differentially expressed genes (DEGs) sets extracted from GSE98793 and GSE16561 datasets were intersected to generate common DEGs, which were further screened out in cytoHubba to identify hub genes. GO, KEGG, Metascape, GeneMANIA, NetworkAnalyst, and DGIdb were used for functional enrichment, pathway analysis, regulatory network analysis, and candidate drugs analysis. ssGSEA algorithm was used to analyze the immune infiltration. Results: Among the 29706 participants from NHANES 2005-2018, stroke was significantly associated with MDD (OR = 2.79,95% CI:2.26-3.43, p < 0.0001). A total of 41 common upregulated genes and eight common downregulated genes were finally identified between IS and MDD. Enrichment analysis revealed that the shared genes were mainly involved in immune response and immune-related pathways. A protein-protein interaction (PPI) was constructed, from which ten (CD163, AEG1, IRAK3, S100A12, HP, PGLYRP1, CEACAM8, MPO, LCN2, and DEFA4) were screened. In addition, gene-miRNAs, transcription factor-gene interactions, and protein-drug interactions coregulatory networks with hub genes were also identified. Finally, we observed that the innate immunity was activated while acquired immunity was suppressed in both disorders. Conclusion: We successfully identified the ten hub shared genes linking the IS and MDD and constructed the regulatory networks for them that could serve as novel targeted therapy for the comorbidities.

The relationship between social isolation, social support, and loneliness with cardiovascular disease and shared risk factors: A narrative review

BACKGROUND

Cardiovascular disease (CVD) is the greatest contributor to global morbidity and mortality. Poor social health plays a critical role in CVD incidence. Additionally, the relationship between social health and CVD may be mediated through CVD risk factors. However, the underlying mechanisms between social health and CVD are poorly understood. Certain social health constructs (social isolation, low social support and loneliness) have complicated the characterisation of a causal relationship between social health and CVD.

AIM

To provide an overview of the relationship between social health and CVD (and its shared risk factors).

METHOD

In this narrative review, we examined published literature on the relationship between three social health constructs (social isolation, social support, and loneliness) and CVD. Evidence was synthesised in a narrative format, focusing on the potential ways in which social health affects CVD, including shared risk factors.

RESULTS

The current literature highlights an established relationship between social health and CVD with a likelihood for bi-directionality. However, there is speculation and varied evidence regarding how these relationships may be mediated through CVD risk factors.

CONCLUSIONS

Social health can be considered an established risk factor for CVD. However, the potential bi-directional pathways of social health with CVD risk factors are less established. Further research is needed to understand whether targeting certain constructs of social health may directly improve the management of CVD risk factors. Given the health and economic burdens of poor social health and CVD, improvements to addressing or preventing these interrelated health conditions would have societal benefits.

Association of metabolic syndrome and its components with the risk of depressive symptoms: A systematic review and meta-analysis of cohort studies

BACKGROUND

The purpose of this meta-analysis was to quantitatively analyze the association between metabolic syndrome (MetS) and the risk of depressive symptoms.

METHODS

Three electronic databases (PubMed, Embase, and PsycINFO) were searched for articles published through February 15, 2022. Cohort studies evaluating the association between MetS and depressive symptoms were selected for inclusion in this study. A random-effects model was used to evaluate the pooled estimates of MetS, including each of its components, associated with depressive symptoms.

RESULTS

A total of 11 cohort studies were selected including >2.65 million participants. There was a significant association between MetS and depressive symptoms risk, albeit with a high degree of heterogeneity (relative risk = 1.29, 95 % confidence interval: 1.12-1.48; I2 = 79.3 %). This association was consistently significant in Western countries, but it was not significant in Asian countries. When stratified by sex, age, and geographical region, MetS and its components exhibited varying degrees of association with depressive symptoms.

CONCLUSIONS

MetS is a risk factor for depressive symptoms. Further large-scale prospective cohort studies are required to confirm our findings.

Depression with obstructive sleep apnea lead to high cardiovascular disease morbidity/all-cause mortality: Findings from the SHHS cohort

The aim of this study is to explore the association between depression and obstructive sleep apnea, and cardiovascular disease morbidity/all-cause mortality using Sleep Heart Health Study data. This post hoc analysis of a prospective study used patient data from the Sleep Heart Health Study conducted between 1995 and 1998. The association between depression and obstructive sleep apnea, and cardiovascular disease morbidity/all-cause mortality was explored using multivariable Cox proportional hazard models. A total of 4918 participants, 656 (13.3%) with obstructive sleep apnea (obstructive sleep apnea group), 1614 (32.8%) with depression (depression group), 482 (9.8%) with depression and obstructive sleep apnea (depression and obstructive sleep apnea group), and 2166 (44%) with neither obstructive sleep apnea nor depression (health group), were included. The incidence of cardiovascular disease was 24.5%, 31.0%, 31.6% and 41.7% for healthy, depression, obstructive sleep apnea, and depression and obstructive sleep apnea groups, respectively. The risk of cardiovascular disease in depression and obstructive sleep apnea participants was increased compared with that in healthy participants, which was consistent across various definitions of obstructive sleep apnea (hazard ratio [95% confidence interval]: 1.24 [1.06-1.47]; 1.25 [1.05-1.49]; 1.28 [1.06-1.54]; 1.55 [1.22-1.96] for apnea-hypopnea index ≥ 10 per hr, 15 per hr, 20 per hr, 30 per hr, respectively). The risk of all-cause mortality was increased in the depression and obstructive sleep apnea participants (hazard ratio: 1.46; 95% confidence interval: 1.07-1.99) compared with that in healthy participants when the definition of obstructive sleep apnea was apnea-hypopnea index ≥ 30. Participants with depression and obstructive sleep apnea might be at a greater risk of cardiovascular disease, and those with higher apnea-hypopnea index might be at a greater risk of all-cause mortality.

Impact of mental disorders on clinical outcomes of physical diseases: an umbrella review assessing population attributable fraction and generalized impact fraction

Empirical evidence indicates a significant bidirectional association between mental disorders and physical diseases, but the prospective impact of men-tal disorders on clinical outcomes of physical diseases has not been comprehensively outlined. In this PRISMA- and COSMOS-E-compliant umbrella review, we searched PubMed, PsycINFO, Embase, and Joanna Briggs Institute Database of Systematic Reviews and Implementation Reports, up to March 15, 2022, to identify systematic reviews with meta-analysis that examined the prospective association between any mental disorder and clinical outcomes of physical diseases. Primary outcomes were disease-specific mortality and all-cause mortality. Secondary outcomes were disease-specific incidence, functioning and/or disability, symptom severity, quality of life, recurrence or progression, major cardiac events, and treatment-related outcomes. Additional inclusion criteria were further applied to primary studies. Random effect models were employed, along with I2 statistic, 95% prediction intervals, small-study effects test, excess significance bias test, and risk of bias (ROBIS) assessment. Associations were classified into five credibility classes of evidence (I to IV and non-significant) according to established criteria, complemented by sensitivity and subgroup analyses to examine the robustness of the main analysis. Statistical analysis was performed using a new package for conducting umbrella reviews (https://metaumbrella.org). Population attributable fraction (PAF) and generalized impact fraction (GIF) were then calculated for class I-III associations. Forty-seven systematic reviews with meta-analysis, encompassing 251 non-overlapping primary studies and reporting 74 associations, were included (68% were at low risk of bias at the ROBIS assessment). Altogether, 43 primary outcomes (disease-specific mortality: n=17; all-cause mortality: n=26) and 31 secondary outcomes were investigated. Although 72% of associations were statistically significant (p<0.05), only two showed convincing (class I) evidence: that between depressive disorders and all-cause mortality in patients with heart failure (hazard ratio, HR=1.44, 95% CI: 1.26-1.65), and that between schizophrenia and cardiovascular mortality in patients with cardiovascular diseases (risk ratio, RR=1.54, 95% CI: 1.36-1.75). Six associations showed highly suggestive (class II) evidence: those between depressive disorders and all-cause mortality in patients with diabetes mellitus (HR=2.84, 95% CI: 2.00-4.03) and with kidney failure (HR=1.41, 95% CI: 1.31-1.51); that between depressive disorders and major cardiac events in patients with myocardial infarction (odds ratio, OR=1.52, 95% CI: 1.36-1.70); that between depressive disorders and dementia in patients with diabetes mellitus (HR=2.11, 95% CI: 1.77-2.52); that between alcohol use disorder and decompensated liver cirrhosis in patients with hepatitis C (RR=3.15, 95% CI: 2.87-3.46); and that between schizophrenia and cancer mortality in patients with cancer (standardized mean ratio, SMR=1.74, 95% CI: 1.41-2.15). Sensitivity/subgroup analyses confirmed these results. The largest PAFs were 30.56% (95% CI: 27.67-33.49) for alcohol use disorder and decompensated liver cirrhosis in patients with hepatitis C, 26.81% (95% CI: 16.61-37.67) for depressive disorders and all-cause mortality in patients with diabetes mellitus, 13.68% (95% CI: 9.87-17.58) for depressive disorders and major cardiac events in patients with myocardial infarction, 11.99% (95% CI: 8.29-15.84) for schizophrenia and cardiovascular mortality in patients with cardiovascular diseases, and 11.59% (95% CI: 9.09-14.14) for depressive disorders and all-cause mortality in patients with kidney failure. The GIFs confirmed the preventive capacity of these associations. This umbrella review demonstrates that mental disorders increase the risk of a poor clinical outcome in several physical diseases. Prevention targeting mental disorders - particularly alcohol use disorders, depressive disorders, and schizophrenia - can reduce the incidence of adverse clinical outcomes in people with physical diseases. These findings can inform clinical practice and trans-speciality preventive approaches cutting across psychiatric and somatic medicine.

Association between level of depression and coronary heart disease, stroke risk and all-cause and cardiovascular mortality: Data from the 2005-2018 National Health and Nutrition Examination Survey

Research on the association between level of depression and coronary heart disease (CHD), stroke risk, and all-cause and cardiovascular mortality is lacking in large-scale or population-based studies incorporating cardiovascular disease (CVD) endpoints. We aim to assess the relationship between the level of a person's depression and their risk of CHD, stroke, and all-cause and cardiovascular mortality. Utilizing data from the United States National Health and Nutrition Examination Survey (NHANES), multicycle cross-sectional design and mortality linkage studies were conducted. The study sample included 30918 participants aged 20-85 years old during the 2005-2018 period. Depression was assessed using the nine-item Patient Health Questionnaire (PHQ-9), with scores of 5, 10, 15, and 20 being the cut-off points for mild, moderate, moderately severe, and severe depression, respectively. A series of weighted logistic regression analyses and Cox proportional hazards models were utilized to examine the relationship between the level of depression with the risk of CHD, stroke, all-cause, and cardiovascular mortality. Trend analyses were conducted by entering the level of depression as a continuous variable and rerunning the corresponding regression models. Weighted logistic regression models consistently indicated a statistically significant association between the level of depression and increased risk of CHD and stroke, and those linear trend tests were statistically significant (P for trend < 0.001). Furthermore, weighted Cox regression analyses consistently indicated that participants who had a more severe degree of depression were at a higher risk of all-cause death, and trend analyses suggested similar results (P for trend < 0.001). Another weighted Cox regression analysis also consistently indicated that except for severe depression, the hazard of cardiovascular death was increased with each additional level increase of depression. Our study confirmed that the level of depression was strongly associated with CHD, stroke, and all-cause and cardiovascular mortality, even after accounting for other factors that could impact risk, including variables of age, gender, ethnicity, income, education, body mass index (BMI), marital, and smoking status.

Validating a geospatial healthfulness index with self-reported chronic disease and health outcomes

Leveraging community engagement from past research may yield frameworks on which to build new inquiries. We previously integrated community voice into the development of a healthfulness index to increase awareness of social determinants of health in the built environment and inform deployment of public health interventions in the Flint (Michigan, USA) Center for Health Equity Solutions. Here we combine the healthfulness index with self-reported chronic disease and health outcomes (n = 12,279) from a community-based healthcare entity, the Genesee Health Plan. The healthfulness index purports to predict how health-promoting a neighborhood is based on many spatially varying characteristics; by linking our health plan data to this index, we validate the effectiveness of the healthfulness index. After geocoding all enrollees and joining their healthfulness scores, we conducted a series of logistic regressions to compare the relationship between self-reported outcomes and healthfulness. Matching the two intervention projects of our center (revolving around healthy eating & physical activity in project 1 and mental health sustainment & substance use prevention in project 2), our analyses also focused on classes of outcomes related to a) cardiovascular disease and b) mental health. In only select cases, higher (better) healthfulness scores from each project were independently associated with better cardiovascular and mental health outcomes, controlling for age, race, and sex. Generally, however, healthfulness did not add predictive strength to the association between health and sociodemographic covariates. Even so, the use of composite healthfulness indices to describe the health-promoting or degrading qualities of a neighborhood could be valuable in identifying differences in health outcomes. Future researchers could further explore healthcare claims datasets to increase understanding of the links between healthfulness and health outcomes. This and future work will be valuable in advocacy toward additional healthfulness indices to aid other communities in enriching understanding between the built environment and health.

The Influence of Emotion Regulation on the Association Between Depression and Heart Rate Variability in Cardiac Patients

OBJECTIVE

Poor vagally mediated heart rate variability (vmHRV) is a mechanism linking depression to coronary heart disease (CHD). Reduced vmHRV is also considered an index of emotion dysregulation-the frequent use of maladaptive emotion regulation strategies, one of the most important being expressive suppression-which is a key component of depression. Therefore, this study aimed to investigate the moderating role of expressive suppression in the relation between depression and vmHRV in patients with CHD.

METHODS

The sample included 235 patients with CHD (mean [standard deviation] age = 61.6 [9.8] years; 12% women) admitted to cardiac rehabilitation after a cardiac intervention. The Beck Depression Inventory-II was administered to assess depressive symptoms. Emotion regulation strategies based on either expressive suppression or cognitive reappraisal were assessed through the Emotion Regulation Questionnaire. Resting electrocardiographic recordings were collected for 5 minutes to compute HRV indices.

RESULTS

Expressive suppression moderated the relation between depressive symptoms and vmHRV ( b = -0.03, p = .012). Patients with lower expressive suppression scores showed no association between depressive symptoms and vmHRV ( b = -0.00, p = .94), whereas those with higher expressive suppression scores showed a significant negative association between depressive symptoms and vmHRV ( b = -0.05, p = .015).

CONCLUSIONS

The use of expressive suppression is likely to potentiate the relation between depressive symptoms and poor vmHRV, which could increase the cardiac risk in these patients. Targeting emotion regulation skills in cardiac rehabilitation programs may be useful for reducing the impact of depression in cardiac patients.

Psychiatric symptoms and mortality in older adults with major psychiatric disorders: results from a multicenter study

Prior research suggests that certain psychiatric symptoms could be associated with increased risk of death. However, it remains unclear whether this association could rely on all or specific symptoms. In this report, we used data from a multicenter 5-year prospective study (N = 641) of older adults with an ICD-10 diagnosis of schizophrenia, bipolar disorder or major depressive disorder, recruited from French community psychiatric departments. We used a latent variable approach to disentangle the effects shared by all psychiatric symptoms (i.e., general psychopathology factor) and those specific to individual psychiatric symptoms, while adjusting for sociodemographic and clinical factors. Psychiatric symptoms were assessed face-to-face by psychiatrists trained to semi-structured interviews using the Brief Psychiatric Rating Scale (BPRS). Among older adults with major psychiatric disorders, we found that all psychiatric symptoms were associated with increased mortality, and that their effect on the 5-year mortality were exerted mostly through a general psychopathology dimension (β = 0.13, SE = 0.05, p < 0.05). No BPRS item or lower order factor had a significant effect on mortality beyond and above the effect of the general psychopathology factor. Greater number of medical conditions, older age, male sex, and being hospitalized or institutionalized at baseline were significantly associated with this risk beyond the effect of the general psychopathology factor. Since psychiatric symptoms may affect mortality mainly through a general psychopathology dimension, biological and psychological mechanisms underlying this dimension should be considered as promising targets for interventions to decrease excess mortality of older individuals with psychiatric disorders.

Eight-Year Depressive Symptom Trajectories and Incident Stroke: A 10-Year Follow-Up of the HRS (Health and Retirement Study)

Background:

Evidence suggests a link between depressive symptoms and risk of subsequent stroke. However, most studies assess depressive symptoms at only one timepoint, with few examining this relationship using repeatedly measured depressive symptoms. This study aimed to examine the relationship between depressive symptom trajectories and risk of incident stroke.

Methods:

This prospective cohort included 12 520 US individuals aged ≥50 years enrolled in the Health and Retirement Study, free of stroke at study baseline (1998). We used the 8-item Center for Epidemiologic Studies Depression scale to assess depressive symptoms (high defined as ≥3 symptoms; low <3 symptoms) at 4 consecutive, biennial timepoints from 1998 to 2004. We assigned individuals to 5 predefined trajectories based on their scores at each timepoint (consistently low, decreasing, fluctuating, increasing, and consistently high). Using self-reported doctors’ diagnoses, we assessed incident stroke over a subsequent 10-year period from 2006 to 2016. Cox regression models estimated the association of depressive symptom trajectories with risk of incident stroke, adjusting for demographics, health behaviors, and health conditions.

Results:

During follow-up, 1434 incident strokes occurred. Compared with individuals with consistently low symptoms, individuals with consistently high depressive symptoms (adjusted hazard ratio, 1.18 [95% CI, 1.02–1.36]), increasing symptoms (adjusted hazard ratio, 1.31 [95% CI, 1.10–1.57]), and fluctuating symptoms (adjusted hazard ratio, 1.21 [95% CI, 1.01–1.46]) all had higher hazards of stroke onset. Individuals in the decreasing symptom trajectory group did not show increased stroke risk.

Conclusions:

Depressive symptom trajectories characterized by high symptoms at multiple timepoints were associated with increased stroke risk. However, a trajectory with depressive symptoms that started high but decreased over time was not associated with higher stroke risk. Given the remitting-relapsing nature of depressive symptoms, it is important to understand the relationship between depressive symptoms and stroke risk over time through repeated assessments.

Evidence of a Causal Link Between the Well-Being Spectrum and the Risk of Myocardial Infarction: A Mendelian Randomization Study

Epidemiological studies have provided extensive evidence regarding the role of psychological risk factors in the pathogenesis of cardiovascular disease (CVD), but whether these associations are causal in nature is still unknown. We aimed to investigate whether the association between the wellbeing spectrum (WBS; derived from four psychological traits including life satisfaction, positive affect, neuroticism, and depressive symptoms) and CVD risk is causal. By employing a two-sample Mendelian randomization (MR) approach, the effect of the WBS on four CVD outcomes, including atrial fibrillation, heart failure, myocardial infarction, and ischemic stroke, was investigated. The genetically predicted WBS was associated with 38% lower risk for heart failure (odds ratio (OR): 0.62; 95% confidence interval [CI]: 0.50–0.78; P: 2.2 × 10⁻⁵) and 40% reduced risk of myocardial infarction (OR: 0.60; 95% CI: 0.47–0.78; P: 1.1 × 10⁻⁴). Of the WBS constituent traits, only depressive symptoms showed a positive causal association with heart failure and myocardial infarction. Neither WBS nor WBS constituent traits were associated with atrial fibrillation and ischemic stroke. In multivariable MR analyses, when genetic instruments for traditional CVD risk factors were also taken into consideration, the WBS was causally associated with a reduced risk for heart failure (OR: 0.72; 95% CI: 0.58–0.88; P: 0.001) and myocardial infarction (OR: 0.67; 95% CI: 0.52–0.86; P: 0.002). This study provides evidence that a higher WBS is causally associated with a decreased risk of developing CVD and, more specifically, myocardial infarction; moreover, the association is mainly driven by depressive symptoms. These results support current guidelines that suggest improving psychological wellbeing may help in reducing the burden of cardiovascular disease.

Depressive Symptoms and Incident Heart Failure Risk in the Southern Community Cohort Study

OBJECTIVES

This study aims to examine whether greater frequency of depressive symptoms associates with increased risk of incident heart failure (HF).

BACKGROUND

Depressive symptoms associate with adverse prognosis in patients with prevalent HF. Their association with incident HF is less studied, particularly in low-income and minority individuals.

METHODS

We studied 23,937 Black or White Southern Community Cohort Study participants (median age: 53 years, 70% Black, 64% women) enrolled between 2002 and 2009, without prevalent HF, receiving Centers for Medicare and Medicaid Services coverage. Cox models adjusted for traditional HF risk factors, socioeconomic and behavioral factors, social support, and antidepressant medications were used to quantify the association between depressive symptoms assessed at enrollment via the Center for Epidemiologic Studies Depression Scale (CESD-10) and incident HF ascertained from Centers for Medicare and Medicaid Services International Classification of Diseases-9th Revision (ICD-9) (code: 428.x) and ICD-10 (codes: I50, I110) codes through December 31, 2016.

RESULTS

The median CESD-10 score was 9 (IQR: 5 to 13). Over a median 11-year follow-up, 6,081 (25%) participants developed HF. The strongest correlates of CESD-10 score were antidepressant medication use, age, and socioeconomic factors, rather than traditional HF risk factors. Greater frequency of depressive symptoms associated with increased incident HF risk (per 8-U higher CESD-10 HR: 1.04; 95% CI: 1.00 to 1.09; P = 0.038) without variation by race or sex. The association between depressive symptoms and incident HF varied by antidepressant use (interaction-P = 0.03) with increased risk among individuals not taking antidepressants.

CONCLUSIONS

In this high-risk, low-income, cohort of predominantly Black participants, greater frequency of depressive symptoms significantly associates with higher risk of incident HF.

Clinical and Economic Profile of Homeless Young Adults with Stroke in the United States, 2002 - 2017

INTRODUCTION

. Homelessness is a major social determinant of health. We studied the clinical and economic profile of homeless young adults hospitalized with stroke.

METHODS

. We studied the National Inpatient Sample database (2002-2017) to evaluate trends of stroke hospitalization, clinical outcomes, and health expenditure in homeless vs. non-homeless young adults (<45 years).

RESULTS

. We identified 3,134 homeless individuals out of 648,944 young adults. Homeless patients were more likely to be men, Black adults and had a higher prevalence of cardiometabolic risk factors and psychiatric disorders than non-homeless adults. Both homeless and non-homeless adults had a similar prevalence of ischemic and hemorrhagic stroke. Between 2002 and 2017, hospitalization rates per million increased for both non-homeless (295.8 to 416.8) and homeless adults (0.5 to 3.6) (P≤0.01). Between 2003 and 2017, the decline in in-hospital mortality was limited to non-homeless adults (11% to 9%), while it has increased in homeless adults (3% to 11%) (P<0.01). The prevalence of acute myocardial infarction (6.8% vs. 3.3%, P<0.01), and acute kidney injury (13.1% vs. 9.4%, P<0.01) was also higher in homeless vs. non-homeless adults. The length of stay and inflation-adjusted care cost were comparable between both study groups. Finally, a higher proportion of homeless patients left the hospital against medical advice than non-homeless adults.

CONCLUSIONS

. Homeless young stroke patients had significant comorbidities, increased hospitalization rates, and adverse clinical outcomes. Therefore, public health interventions should focus on multidisciplinary care to reduce health care disparities among young homeless adults.

Early Life Adversity and Blunted Cardiovascular Reactivity to Acute Psychological Stress: The Role of Current Depressive Symptoms

OBJECTIVE

The pathways underlying the early life adversity and cardiovascular reactivity association remain unclear. The current study examined the role of current depressive symptoms on this relationship.

METHODS

Mediation analyses were conducted using data from 639 participants drawn from the Midlife Development in the United States 2 Biomarker Project. Responses were derived from the Childhood Trauma Questionnaire and Center for Epidemiologic Studies Depression Scale. Participants had their systolic and diastolic blood pressure (SBP, DBP) and heart rate monitored throughout a standardized stress testing protocol.

RESULTS

The association between early life adversity and reactivity was mediated by current depressive symptoms; all adversity factors were linked to higher levels of current depressive symptoms, which, in turn, were associated with lower cardiovascular reactivity. For emotional abuse, this was noted for SBP (β = -0.06 [95% confidence interval {CI}, -0.13 to -0.01]) and DBP (β = -0.04 [-0.07 to -0.01]), physical abuse (SBP: β = -0.05 [-0.11 to -0.01]; DBP: β = -0.03 [-0.06 to -0.01]), sexual abuse (SBP: β = -0.04 [-0.09 to -0.01]; DBP: β = -0.02 [-0.05 to -0.01]), emotional neglect (SBP: β = -0.04 [-0.09 to -0.01]; DBP: β = -0.02 [-0.05 to -0.01]), physical neglect (SBP: β = -0.09 [-0.17 to -0.02]; DBP: β = -0.05 [-0.09 to -0.02]), and total Childhood Trauma Questionnaire score (SBP: β = -0.02 [-0.03 to -0.00]; DBP: β = -0.01 [-0.02 to -0.00]).

CONCLUSIONS

The present findings extend research and demonstrate that depression is an underlying mechanism linking early life adversity and blunted cardiovascular reactivity.

Antibiotics exposure attenuates chronic unpredictable mild stress-induced anxiety-like and depression-like behavior

Antibiotics exposure leads to gut microbiota dysbiosis, which increases the risk of anxiety and depression. However, the impact of ciprofloxacin and metronidazole exposure on chronic unpredictable mild stress-induced anxiety-like and depression-like behavior and underlying regulatory mechanism have not been well established. Here, chronic unpredictable mild stress model was established in adult male Sprague-Dawley rats. 16 S rRNA gene sequencing was used to decipher the gut microbiota. Enzyme-linked immunosorbent assay (ELIZA) was used to measure circulating cytokines in blood, gut barrier permeability biomarkers in feces, blood-brain barrier permeability biomarkers in brain. We found that antibiotics exposure significantly reduced the body weight, weight gain and liver health in chronic unpredictable mild stress treated rats. Behavioral testing suggested that antibiotics exposure reduced anxiety-like and depression-like behavior of rat. Antibiotics exposure possessed lower bacterial richness and diversity than that in the chronic unpredictable mild stress treated group. Compared with CUMS or CUMS-e group, higher abundances of Bacteroides, Lactobacillus, Lachnospiraceae and Akkermansia, lower abundances of S24-7, Blautia, Ruminocaceae, Ruminococcus and Prevotella were found in the gut microbiota from antibiotics exposure group. In addition, short-term antibiotics exposure increased the level of 5-hydroxytryptamine (5-HT) in brain. A significant correlation between certain bacteria and behavior of rats was observed, such as Roseburia. Our study uncovers the role for antibiotics in regulating chronic unpredictable mild stress-induced anxiety-like and depression-like behavior and suggest that short-term antibiotics exposure may be could reverse chronic unpredictable mild stress-induced anxiety-like and depression-like behavior.

Prenatal stress and offspring depression in adulthood: The mediating role of childhood trauma

BACKGROUND

There is repeated evidence for a prenatal programming effect for the development of offspring depression. However, examination of environmental influences along this pathway is sparse. This study aimed to investigate the direct and indirect effects of pre- and postnatal stress on offspring depression in adulthood, via increased exposure to childhood trauma.

METHODS

A large longitudinal population-based cohort (N = 3506) was followed up from birth and assessed at 24 years. Diagnosis of depression was derived using the International Classification of Diseases-10th revision (ICD-10). Two separate sources of pre- and postnatal stress were examined - maternal depression and family adversity, and childhood trauma was assessed prospectively across childhood until 17 years.

RESULTS

Both pre- and postnatal maternal depression and family adversity were associated with offspring depression at 24 years in simple logistic regression models. When all pathways were modelled simultaneously, only childhood trauma was directly associated with offspring depression, and mediated all pathways from both sources of pre- and postnatal stress to offspring depression (7-16% of the total effect mediated). Sensitivity analysis on specific trauma found stronger evidence for a mediated pathway via physical, emotional abuse and peer bullying, compared to emotional neglect, sexual abuse and domestic violence.

CONCLUSIONS

These findings indicate that reducing childhood trauma could be a target to decrease depression in the general population, and the focus should also be on families at high risk of experiencing pre- or postnatal stress, to provide them with better support.

Depression, Diabetes Mellitus and Mortality in Older Adults: A National Cohort Study in Taiwan

PURPOSE

Diabetes mellitus (DM) increases the risk of cardiovascular and all-cause mortality. The coexistence of depression and DM is associated with an increased risk of DM complications and functional morbidity. The independent effect of depression on mortality in patients with DM is unclear, and relevant Asian studies have provided inconsistent results. Accordingly, this study assessed the independent and additive effects of DM and depression on mortality in a nationally representative cohort of older adults in Taiwan over a 10-year observation period.

PATIENTS AND METHODS

A total of 5041 participants aged 50 years or older were observed between 1996 and 2007. We defined depression as a score of ≥8 on the 10-item Center for Epidemiologic Studies Depression (CES-D 10) scale. Additionally, we defined participants as having type 2 DM if they had received a diagnosis of type 2 DM from a health-care provider. Cox proportional hazard models were applied to analyze predictors of mortality in depression and DM comorbidity groups.

RESULTS

During the 10-year follow-up period, 1637 deaths were documented. After adjustment for potential confounders, the hazard ratios for mortality in participants with both depression and DM, DM only, and depression only were 2.47 (95% confidence interval [CI]: 2.02-3.03), 1.95 (95% CI: 1.63-2.32), and 1.23 (95% CI: 1.09-1.39), respectively.

CONCLUSION

The co-occurrence of depression with DM in Asian adults increased overall mortality rates. Our results indicate that the increased mortality hazard in individuals with DM and depression was independent of sex.

Explaining the Variance in Cardiovascular Disease Risk Factors: A Comparison of Demographic, Socioeconomic, and Genetic Predictors

BACKGROUND

Efforts to explain the burden of cardiovascular disease (CVD) often focus on genetic factors or social determinants of health. There is little evidence on the comparative predictive value of each, which could guide clinical and public health investments in measuring genetic versus social information. We compared the variance in CVD-related outcomes explained by genetic versus socioeconomic predictors.

METHODS

Data were drawn from the Health and Retirement Study (N = 8,720). We examined self-reported diabetes, heart disease, depression, smoking, and body mass index, and objectively measured total and high-density lipoprotein cholesterol. For each outcome, we compared the variance explained by demographic characteristics, socioeconomic position (SEP), and genetic characteristics including a polygenic score for each outcome and principal components (PCs) for genetic ancestry. We used R-squared values derived from race-stratified multivariable linear regressions to evaluate the variance explained.

RESULTS

The variance explained by models including all predictors ranged from 3.7% to 14.3%. Demographic characteristics explained more than half this variance for most outcomes. SEP explained comparable or greater variance relative to the combination of the polygenic score and PCs for most conditions among both white and Black participants. The combination of SEP, polygenic score, and PCs performed substantially better, suggesting that each set of characteristics may independently contribute to the prediction of CVD-related outcomes. Philip R. Lee Institute for Health Policy Studies, Department of Family & Community Medicine, UCSF.

CONCLUSIONS

Focusing on genetic inputs into personalized medicine predictive models, without considering measures of social context that have clear predictive value, needlessly ignores relevant information that is more feasible and affordable to collect on patients in clinical settings. See video abstract at, http://links.lww.com/EDE/B879.

Psychological and pharmacological interventions for depression in patients with coronary artery disease

BACKGROUND

Depression occurs frequently in individuals with coronary artery disease (CAD) and is associated with a poor prognosis.

OBJECTIVES

To determine the effects of psychological and pharmacological interventions for depression in CAD patients with comorbid depression.

SEARCH METHODS

We searched the CENTRAL, MEDLINE, Embase, PsycINFO, and CINAHL databases up to August 2020. We also searched three clinical trials registers in September 2021. We examined reference lists of included randomised controlled trials (RCTs) and contacted primary authors. We applied no language restrictions.

SELECTION CRITERIA

We included RCTs investigating psychological and pharmacological interventions for depression in adults with CAD and comorbid depression. Our primary outcomes included depression, mortality, and cardiac events. Secondary outcomes were healthcare costs and utilisation, health-related quality of life, cardiovascular vital signs, biomarkers of platelet activation, electrocardiogram wave parameters, non-cardiac adverse events, and pharmacological side effects.

DATA COLLECTION AND ANALYSIS

Two review authors independently examined the identified papers for inclusion and extracted data from the included studies. We performed random-effects model meta-analyses to compute overall estimates of treatment outcomes.

MAIN RESULTS

Thirty-seven trials fulfilled our inclusion criteria. Psychological interventions may result in a reduction in end-of-treatment depression symptoms compared to controls (standardised mean difference (SMD) -0.55, 95% confidence interval (CI) -0.92 to -0.19, I² = 88%; low certainty evidence; 10 trials; n = 1226). No effect was evident on medium-term depression symptoms one to six months after the end of treatment (SMD -0.20, 95% CI -0.42 to 0.01, I² = 69%; 7 trials; n = 2654). The evidence for long-term depression symptoms and depression response was sparse for this comparison. There is low certainty evidence that psychological interventions may result in little to no difference in end-of-treatment depression remission (odds ratio (OR) 2.02, 95% CI 0.78 to 5.19, I² = 87%; low certainty evidence; 3 trials; n = 862). Based on one to two trials per outcome, no beneficial effects on mortality and cardiac events of psychological interventions versus control were consistently found. The evidence was very uncertain for end-of-treatment effects on all-cause mortality, and data were not reported for end-of-treatment cardiovascular mortality and occurrence of myocardial infarction for this comparison. In the trials examining a head-to-head comparison of varying psychological interventions or clinical management, the evidence regarding the effect on end-of-treatment depression symptoms is very uncertain for: cognitive behavioural therapy compared to supportive stress management; behaviour therapy compared to person-centred therapy; cognitive behavioural therapy and well-being therapy compared to clinical management. There is low certainty evidence from one trial that cognitive behavioural therapy may result in little to no difference in end-of-treatment depression remission compared to supportive stress management (OR 1.81, 95% CI 0.73 to 4.50; low certainty evidence; n = 83). Based on one to two trials per outcome, no beneficial effects on depression remission, depression response, mortality rates, and cardiac events were consistently found in head-to-head comparisons between psychological interventions or clinical management. The review suggests that pharmacological intervention may have a large effect on end-of-treatment depression symptoms (SMD -0.83, 95% CI -1.33 to -0.32, I² = 90%; low certainty evidence; 8 trials; n = 750). Pharmacological interventions probably result in a moderate to large increase in depression remission (OR 2.06, 95% CI 1.47 to 2.89, I² = 0%; moderate certainty evidence; 4 trials; n = 646). We found an effect favouring pharmacological intervention versus placebo on depression response at the end of treatment, though strength of evidence was not rated (OR 2.73, 95% CI 1.65 to 4.54, I² = 62%; 5 trials; n = 891). Based on one to four trials per outcome, no beneficial effects regarding mortality and cardiac events were consistently found for pharmacological versus placebo trials, and the evidence was very uncertain for end-of-treatment effects on all-cause mortality and myocardial infarction. In the trials examining a head-to-head comparison of varying pharmacological agents, the evidence was very uncertain for end-of-treatment effects on depression symptoms. The evidence regarding the effects of different pharmacological agents on depression symptoms at end of treatment is very uncertain for: simvastatin versus atorvastatin; paroxetine versus fluoxetine; and escitalopram versus Bu Xin Qi. No trials were eligible for the comparison of a psychological intervention with a pharmacological intervention.

AUTHORS' CONCLUSIONS

In individuals with CAD and depression, there is low certainty evidence that psychological intervention may result in a reduction in depression symptoms at the end of treatment. There was also low certainty evidence that pharmacological interventions may result in a large reduction of depression symptoms at the end of treatment. Moderate certainty evidence suggests that pharmacological intervention probably results in a moderate to large increase in depression remission at the end of treatment. Evidence on maintenance effects and the durability of these short-term findings is still missing. The evidence for our primary and secondary outcomes, apart from depression symptoms at end of treatment, is still sparse due to the low number of trials per outcome and the heterogeneity of examined populations and interventions. As psychological and pharmacological interventions can seemingly have a large to only a small or no effect on depression, there is a need for research focusing on extracting those approaches able to substantially improve depression in individuals with CAD and depression.

Contributions of specific causes of death by age to the shorter life expectancy in depression: a register-based observational study from Denmark, Finland, Sweden and Italy

BACKGROUND

The reasons for the shorter life expectancy of people with depression may vary by age. We quantified the contributions of specific causes of death by age to the life-expectancy gap in four European countries.

METHODS

Using register-based cohort data, we calculated annual mortality rates in between 1993 and 2007 for psychiatric inpatients with depression identified from hospital-care registers in Denmark, Finland and Sweden, and between 2000 and 2007 for antidepressant-treated outpatients identified from medication registers in Finland and Turin, Italy. We decomposed the life-expectancy gap at age 15 years by age and cause of death.

RESULTS

The life-expectancy gap was especially large for psychiatric inpatients (12.1 to 21.0 years) but substantial also for antidepressant-treated outpatients (6.3 to 14.2 years). Among psychiatric inpatients, the gap was largely attributable to unnatural deaths below age 55 years. The overall contribution was largest for suicide in Sweden (43 to 45%) and Finland (37 to 40%). In Denmark, 'other diseases' (25 to 34%) and alcohol-attributable causes (10 to 18%) had especially large contributions. Among antidepressant-treated outpatients, largest contributions were observed for suicide (18% for men) and circulatory deaths (23% for women) in Finland, and cancer deaths in Turin (29 to 36%). Natural deaths were concentrated at ages above 65 years.

LIMITATIONS

The indication of antidepressant prescription could not be ascertained from the medication registers.

CONCLUSIONS

Interventions should be directed to self-harm and substance use problems among younger psychiatric inpatients and antidepressant-treated young men. Rigorous monitoring and treatment of comorbid somatic conditions and disease risk factors may increase life expectancy for antidepressant-treated outpatients, especially women.

Behavioral and histopathological consequences of transient ischemic stroke in the Flinders Sensitive Line rat, a genetic animal model of depression

Patients with depression have an increased risk for stroke, higher mortality rates following stroke and worse functional outcomes among survivors. Preclinical studies may help to better understand the underlying mechanisms linking these two diseases, but only a few animal studies have investigated the effects of prestroke depression. The present study investigates whether Flinders Sensitive Line (FSL) rats, a genetic depression model, respond differently to focal ischemic stroke compared to control strains (Flinders Resistant Line [FRL] and Sprague-Dawley [SD]). Male adult FSL, FRL and SD rats received a unilateral injection of either vehicle or Endothelin-1 (ET-1) adjacent to the middle cerebral artery (MCA). Motor function was assessed at 48 h followed by euthanasia and infarct volume measurement using 2,3,5-triphenyltetrazolium chloride (TTC) staining and image analysis. In a separate cohort behavior was assessed using standard tests for motor function, locomotor activity, cognition, anxiety- and depression-like behavior beginning at 10 days post-injection followed by infarct quantification. We found that ET-1-induced MCA occlusion produced significant infarcts in all three strains. Stroke animals had slightly impaired motor function, but there was no clear interaction effects between strain and stroke surgery on behavioral outcomes. We conclude that FSL rats show no increased susceptibility to brain damage or behavioral deficits following ET-1-induced focal ischemic stroke compared to controls.

Association between eating alone and cardiovascular diseases in elderly women: a cross-sectional study of KNHANES 2016 data

OBJECTIVE

To investigate differences in health behaviors, nutritional status, and the likelihood of having cardiovascular diseases and its risk factors according to the presence of an eating companion in older women.

METHODS

Using 2016 Korean National Health and Nutrition Examination Survey VII-1 data, 590 menopausal women aged ≥65 years were analyzed in this cross-sectional study. Participants who ate more than two meals a day alone were assigned to an eating-alone (EA) group and those who ate more than two meals a day with others were assigned to an eating-with-others (EO) group. Complex-samples general linear analysis, t tests, and logistic regression were used for the analysis of the data.

RESULTS

Awareness of nutrition labels (P = 0.012), using of nutrition labels (P = 0.014), and impact of nutrition labels (P = 0.016) were lower in the EA group than in the EO group. The intake of energy, carbohydrates, dietary fiber, sodium, and potassium was lower in the EA group than in the EO group (P < 0.05). The likelihood of having angina was 2.58 times higher in the EA group than in the EO group (95% CI, 1.20-5.55).

CONCLUSIONS

Older women who ate alone had poorer nutritional knowledge and intake. In addition, eating alone in older women was strongly associated with the prevalence of angina. Thus, it is necessary to consider nutrition education and cardiovascular disease screening for older women who mainly eat alone.

Lipid Metabolism, Disorders and Therapeutic Drugs - Review

Different lifestyles have an impact on useful metabolic functions, causing disorders. Different lipids are involved in the metabolic functions that play various vital roles in the body, such as structural components, storage of energy, in signaling, as biomarkers, in energy metabolism, and as hormones. Inter-related disorders are caused when these functions are affected, like diabetes, cancer, infections, and inflammatory and neurodegenerative conditions in humans. During the Covid-19 period, there has been a lot of focus on the effects of metabolic disorders all over the world. Hence, this review collectively reports on research concerning metabolic disorders, mainly cardiovascular and diabetes mellitus. In addition, drug research in lipid metabolism disorders have also been considered. This review explores lipids, metabolism, lipid metabolism disorders, and drugs used for these disorders.

Social affiliation moderates the link between depressive symptoms and heart rate variability in healthy middle-aged and older individuals: An intensive ecologic momentary assessment study

Depressive symptoms have been associated with lower cardiac autonomic control, thus contributing to cardiovascular diseases, especially among older adults. Interpersonal factors have been found to attenuate physiologic stress responses, but little is known about whether these factors (e.g., perceived affiliation) would moderate the relation of depressive symptoms and cardiovascular activation. The present research aimed to investigate the interplay of depressive symptoms and momentary-assessed interpersonal perceptions on cardiac vagal tone as indexed by heart rate variability (HRV). The sample consisted of 78 late middle-aged and older community-dwelling participants (48.7% male, mean age = 59.15 years). Participants reported on depressive symptoms and other personal characteristics by questionnaire. Perceptions of interpersonal affiliation, ambulatory HRV, and contextual variables were recorded using ecologic momentary assessment and portable electrocardiogram (ECG) monitoring device throughout 1 week (with a maximum of seven times daily). Multilevel analyses found that depressive symptoms were correlated with lower HRV, whereas momentary interpersonal perceptions of higher affiliation were associated with elevated HRV. A significant association was revealed between depressive symptoms and momentary affiliation perceptions on HRV. When individuals were involved in social interactions with higher affiliation, the effect of depressive symptoms on reducing HRV was attenuated. These findings suggested that the effects of subthreshold depressive symptoms on vagal control of the heart could be altered by the quality of interpersonal experiences.