Dimensions of depressive symptoms and cingulate volumes in older adults.
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ABSTRACT:
SUBMITTER: McLaren ME
PROVIDER: S-EPMC4872407 | biostudies-other | 2016 Apr
REPOSITORIES: biostudies-other
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Project description:Depressive symptoms occurring late in life are an important risk factor for Alzheimer's disease (AD). The latest research finds that onset of depressive symptoms in late life may herald the development of AD, not only for amnestic Mild Cognitive Impairment (aMCI) patients, but also for cognitively-normal older adults. Neuroimaging of brain structure, blood flow, and glucose metabolism indicates that depressive symptoms in late life are accompanied by structural and functional changes in limbic brain regions vulnerable to AD. The present cross-sectional study was guided by the hypothesis that compared to their non-depressed counterparts, older adults with mild to moderate depressive symptoms have less volume in limbic structures vulnerable to changes in AD-specifically, cortical midline structures such as anterior cingulate and posterior cingulate cortex as well as mesial temporal regions such as bilateral hippocampi and amygdalae. Consistent with our hypothesis, results of a voxel-based morphometry analysis revealed smaller retrosplenial, posterior cingulate, and precuneus gray matter volumes in depressed individuals relative to healthy controls. Right lateral parietal cortex-another region vulnerable to change in AD-was also smaller in the group with depressive symptoms. Contrary to our hypothesis, no volumetric differences were found in the anterior cingulate cortex or mesial temporal lobe. Results of this study show a relationship between geriatric depressive symptoms and brain volume in regions vulnerable to AD. Follow-up of participants over time will tell if brain changes detected here predict development of AD.
| S-EPMC2728909 | biostudies-other
Project description:Ageing and depression are associated with disability and have significant consequences for health systems in many other developing countries. Depression prevalence figures among the elderly are scarce in developing countries.To estimate the prevalence of depressive symptoms and their cross-sectional association with selected covariates in a community sample of Mexico City older adults affiliated to the main healthcare provider.Cross-sectional, multistage community survey.A total of 7,449 persons aged 60 years and older.Depression was assessed using the 30-item Geriatric Depression Scale (GDS); cognitive impairment, using the Mini-Mental State Examination; and health-related quality of life with the SF-36 questionnaire.The prevalence of significant depressive symptoms was estimated to be 21.7%, and 25.3% in those aged 80 and older. After correcting for GDS sensitivity and specificity, major depression prevalence was estimated at 13.2%. Comparisons that follow are adjusted for age, sex, education and stressful life events. The prevalence of cognitive impairment was estimated to be 18.9% in depressed elderly and 13.7% in non-depressed. SF-36 overall scores were 48.0 in depressed participants and 68.2 in non-depressed (adjusted mean difference = -20.2, 95% CI = -21.3, -19.1). Compared to non-depressed elderly, the odds of healthcare utilization were higher among those depressed, both for any health problem (aOR 1.4, 95% CI = 1.1, 1.7) and for emotional problems (aOR 2.7, 95% CI = 2.2, 3.2).According to GDS estimates, one of every eight Mexican older adults had major depressive symptoms. Detection and management of older patients with depression should be a high priority in developing countries.
| S-EPMC2596501 | biostudies-other
Project description:Older adults are more susceptible to higher inflammatory levels and depression. Moreover, diet may influence inflammation as well as depression but no previous study examined whether inflammatory dietary patterns are related to depression in an older population. To investigate the longitudinal association between inflammatory dietary patterns (using reduced rank regression (RRR)) and depressive symptoms in a population sample of Italian older adults.We included 827 participants (aged?65years) at baseline in 1998. Follow-up measurements were collected after 3, 6 and 9years. We used RRR to identify inflammatory dietary patterns at baseline. The Centre for Epidemiologic Studies Depression (CES-D) scale was used to assess depressive symptoms by using continuous scores and depression by using a cut-off point (CES-D?20).We identified two inflammatory dietary patterns using different sets of response variables. Dietary pattern I was related to inflammatory markers C-reactive protein (CRP), interleukin (IL)-6, tumor necrosis factor ? and was characterized by high intakes of refined grains, sweet snacks, pasta and rice. After full adjustment for confounders, no longitudinal association was found when comparing extreme quartiles of this dietary pattern and depressive symptoms (Q1vs Q4, model 4: B=0.04, 95% CI: -0.06, 0.13) or depression (Q1vs Q4, model 4: OR=0.90, 95% CI: 0.55, 1.45). Dietary pattern II was related to inflammatory markers CRP, IL-18, IL-1?, IL-1 receptor antagonist and was characterized by high intakes of pasta, sugar-sweetened beverages, processed meat and chocolate and sweets. When comparing extreme quartiles, this dietary pattern was not longitudinally associated with depressive symptoms (Q1vs Q4, model 4: B=-0.04, 95% CI: -0.13, 0.05) but an inverse association was found for depression (Q1vs Q4, model 4: OR=0.56, 95% CI: 0.40, 0.94).Our study does not support the hypothesis that dietary patterns linked to inflammatory markers are associated with higher depressive symptoms and higher depression incidence. However, dietary intake in our population of older adults was quite homogeneous which makes it difficult to show clear associations.
| S-EPMC5937118 | biostudies-other
Project description:The pathophysiology of negative affect states in older adults is complex, and a host of central nervous system and peripheral systemic mechanisms may play primary or contributing roles. We conducted an unbiased analysis of 146 plasma analytes in a multiplex biochemical biomarker study in relation to number of depressive symptoms endorsed by 566 participants in the Alzheimer's Disease Neuroimaging Initiative (ADNI) at their baseline and 1-year assessments. Analytes that were most highly associated with depressive symptoms included hepatocyte growth factor, insulin polypeptides, pregnancy-associated plasma protein-A and vascular endothelial growth factor. Separate regression models assessed contributions of past history of psychiatric illness, antidepressant or other psychotropic medicine, apolipoprotein E genotype, body mass index, serum glucose and cerebrospinal fluid (CSF) τ and amyloid levels, and none of these values significantly attenuated the main effects of the candidate analyte levels for depressive symptoms score. Ensemble machine learning with Random Forests found good accuracy (~80%) in classifying groups with and without depressive symptoms. These data begin to identify biochemical biomarkers of depressive symptoms in older adults that may be useful in investigations of pathophysiological mechanisms of depression in aging and neurodegenerative dementias and as targets of novel treatment approaches.
| S-EPMC3309547 | biostudies-literature
Project description:Background:Few studies examined associations between depressive symptoms and metabolic syndrome (MetS) among older Chinese adults. Considering that the prevalence of depressive symptoms is high in older Chinese adults, we aimed to examine associations of depressive symptoms with MetS and its components in older Chinese adults. Methods:Data from a community-based cross-sectional study of 4579 Chinese adults aged 60 years or older were analyzed. Depressive symptoms were assessed using the nine-item Patient Health Questionnaire. The presence of MetS was defined based on the Adult Treatment Panel III criteria, which include obesity, reduced blood high-density lipoprotein, high blood pressure (BP), elevated fasting plasma glucose and hypertriglyceridemia. A participant was considered as having MetS if he or she met at least three of the above-mentioned criteria. Results:In all participants, depressive symptoms were related to elevated fasting plasma glucose (??7.0 mmol/L) (adjusted odds ratio [OR]?=?1.50, 95% confidence interval [CI] [1.00-2.20]) and diabetes (adjusted OR?=?1.50, 95% CI [1.01-2.20]). The associations of depressive symptoms with MetS and its components were not significant among women. However, there was a negative association between depressive symptoms and elevated systolic BP (??130 mm Hg) (OR?=?0.59, 95% CI [0.4-0.9]), and similar findings were observed after adjusting for lifestyle-related variables in men. Conclusions:In older Chinese adults, depressive symptoms were negatively associated with elevated systolic BP in men while these findings were not found in women.
| S-EPMC7029582 | biostudies-literature
Project description:Inflammation has been reliably associated with depression. However, the directionality of this association is poorly understood, with evidence that elevated inflammation may promote and precede the development of depression, as well as arise following its expression. Using data from older adults (N = 1,072, ages 60-73) who participated in the ongoing longitudinal St. Louis Personality and Aging Network (SPAN) study, we examined whether inflammatory markers (interleukin-6: IL-6, C-reactive protein: CRP, and tumor necrosis factor α: TNFα) and depression were prospectively predictive of one another. Fasting serum samples and self-reports of depressive symptoms (Beck Depression Inventory-II) were obtained from participants at 2 sessions approximately 2 years apart. Structural equation models as well as regressions that accounted for a host of potentially confounding covariates and depression at baseline revealed that baseline IL-6 and CRP, but not baseline TNFα were associated with elevated depressive symptoms at the follow-up session (IL-6: β = 0.080, p = 0.036; CRP: β = 0.083, p = 0.03; TNFα: β = 0.039, p = 0.314). However, there was no association between baseline depressive symptoms and follow-up inflammatory markers (βs = -0.12 to -0.006, all ps > 0.05). Collectively, these data suggest that inflammation prospectively predicts depression, but depression does not predict inflammation in older age. These data add to a growing literature suggesting that inflammatory signaling may plausibly promote the development of depression.
| S-EPMC8474183 | biostudies-literature
Project description:ObjectiveTo explore the association between US migration, chronic conditions (diabetes, stroke, heart attack, cancer, and hypertension), and mental health (depressive symptoms, and depression).Materials and methodsWe assessed average changes in depressive symptom scores as well as depression over time and their link with migration experience controlling for health and sociodemographic factors among older Mexican adults (50+) using 2012, 2015, and 2018 waves of the Mexican Health and Aging Study (MHAS).ResultsNon-migrants had higher average depressive symptom scores and prevalence of depression (5+ score) in 2012 and 2015, but there was no significant difference in either measure in 2018 or on changes over time.ConclusionAlthough there were no significant differences in average depressive symptoms and depression over time by migration history, this study highlights some differences in 2012 and 2015. Comparing groups across migration histories allowed the researchers to examine how life course differences impact mental health outcomes.
| S-EPMC10751990 | biostudies-literature
Project description:We sought to characterize the relationship between integrity of the white matter underlying the ventral anterior cingulate (vAC) and depressive symptoms in older adults with atherosclerotic vascular disease (AVD), a condition associated with preferential degeneration of the white matter. The vAC was defined as including white matter underlying ventral Brodmann Area 24 and Brodmann Area 25, corresponding with the "subcallosal" and "subgenual" cingulate respectively. This region of interest was chosen based on the preponderance of evidence that the white matter in the region plays a critical role in the manifestation of depressive symptoms. Participants had current unequivocal diagnoses of AVD and were between 55 and 90 years-old. Fractional anisotropy (FA) was used as an index of white matter integrity and organization. Whole-brain mean diffusivity (MD) was used as an index of global white matter lesion burden. Depressive symptoms were measured using the Symptom Checklist-90-Revised (SCL-90-R) Depression Scale. Depressive symptoms were significantly related to low FA in the right vAC (r = -0.356, df = 30, p = 0.045) but not the left vAC (r = 0.024, df = 30, p = 0.896) after controlling for total brain MD (a statistical control for global white matter lesion burden). Further, depressive symptoms were significantly related to low FA in the right vAC (r = -0.361, df = 31, p = 0.039), but not the left vAC (r = 0.259, df = 31, p = 0.145) when controlled for the contralateral vAC FA. The correlation coefficients for this follow-up analysis were found to be significantly different between left and right vAC (Z = 2.310, p = 0.021). Poor white matter health in the vAC may be a biological mechanism for depressive symptoms in older adults with vascular disease. Further studies may corroborate that the right vAC plays a unique role in depressive symptom manifestation in cases where the white matter is preferentially affected, as is the case in AVD. This could lead to future targeting of the region for somatic antidepressant treatment, as well as the development of a precise approach for patients with white matter damage, which could produce significant improvement in quality of life, medical morbidity, and mortality.
| S-EPMC4502350 | biostudies-literature
Project description:Depression has been identified as a risk factor for dementia. However, most studies have measured depressive symptoms at only one time point, and older adults may show different patterns of depressive symptoms over time.To investigate the association between trajectories of depressive symptoms and risk of dementia in older adults.This was a prospective cohort investigation of black and white community-dwelling older adults in the Health, Aging, and Body Composition study. Participants were enrolled between May 1997 and June 1998 and followed up through 2001-2002. The dates of this analysis were September 2014 to December 2015. The setting was community research centers in Memphis, Tennessee, and Pittsburgh, Pennsylvania. Trajectories of depressive symptoms were assessed from baseline to year 5. Symptoms were measured with the Center for Epidemiologic Studies Depression Scale Short Form, and trajectories were calculated using latent class growth curve analysis.Incident dementia through year 11, determined by dementia medication use, hospital records, or significant cognitive decline (?1.5 SD race-specific decline on the Modified Mini-Mental State Examination). We examined the association between depressive symptom trajectories and dementia incidence using Cox proportional hazards regression models adjusted for demographics, health factors that differed between groups, and cognition during the depressive symptom assessment period (baseline to year 5).The analytic cohort included 2488 black and white older adults with repeated depressive symptom assessments from baseline to year 5 who were free of dementia throughout that period. Their mean (SD) age at baseline was 74.0 (2.8) years, and 53.1% (n?=?1322) were female. The following 3 depressive symptom trajectories were identified: consistently minimal symptoms (62.0% [n?=?1542] of participants), moderate and increasing symptoms (32.2% [n?=?801] of participants), and high and increasing symptoms (5.8% [n?=?145] of participants). Compared with the consistently minimal trajectory, having a high and increasing depressive symptom trajectory was associated with significantly increased risk of dementia (fully adjusted hazard ratio, 1.94; 95% CI, 1.30-2.90), while the moderate and increasing trajectory was not associated with risk of dementia after full adjustment. Sensitivity analyses indicated that the high and increasing trajectory was associated with dementia incidence, while depressive symptoms at individual time points were not.Older adults with a longitudinal pattern of high and increasing depressive symptoms are at high risk for dementia. Individuals' trajectory of depressive symptoms may inform dementia risk more accurately than one-time assessment of depressive symptoms.
| S-EPMC5082978 | biostudies-literature
Project description:BackgroundExisting research indicates that tea drinking may exert beneficiary effects on mental health. However, associations between different types of tea intake and mental health such as depression have not been fully examined. The purpose of this study was to examine the associations of green tea, fermented tea, and floral tea consumption with depressive symptoms.MethodsWe used data from the 2018 wave of the Chinese Longitudinal Healthy Longevity Survey, a nationwide survey on older adults in mainland China. A total of 13,115 participants (mean age 83.7 years, 54.2% were women) with valid responses were included in the analysis. The type (green, fermented [black, Oolong, white, yellow, dark, and compressed teas], and floral) and the frequency of tea consumption were recorded, and depressive symptoms were assessed using 10-item of the Center for Epidemiologic Studies Depression Scale (CES-D-10). We examined the associations between the type and the frequency of tea intake and depression, controlling for a set of demographic, socioeconomic, psychosocial, behavioral, and health-related variables.ResultsOverall, intakes of green tea, fermented tea, and floral tea were all significantly associated with lower prevalence of depressive symptoms, independent of other risk factors. Compared with the group of no tea intake, the adjusted ORs of depressive symptoms for daily green tea, fermented tea, and floral tea intake were 0.85 (95% CI: 0.76-0.95), 0.87 (95% CI: 0.76-0.99), and 0.70 (95% CI: 0.59-0.82), respectively. Linear associations were observed between the frequencies of all three types of tea intake and depressive symptoms (P < 0.05 for trends for all three types). The associations of the type and the frequency of tea intake and depressive symptoms were robust in several sensitivity analyses.ConclusionsAmong Chinese older adults, regularly consumed any type of tea (green, fermented, or floral) were less likely to show depressive symptoms, the associations seemed more pronounced among floral tea and green tea drinkers.
| S-EPMC8142291 | biostudies-literature