Examining variation in depressive symptoms over the life course: a latent class analysis

The Association Between Depressive Symptoms and Waist Circumference Among Normal-Weight Individuals in the Peruvian Population: A 3-Year Pooled Cross-Sectional Study

INTRODUCTION

Limited information is available on the association between depressive symptoms and waist circumference (WC) in individuals with normal weight. This study aimed to analyze the association between depressive symptoms and WC among individuals aged 18 years or older with normal weight in the Peruvian population between 2019 and 2021.

METHODS

Analytical cross-sectional study. Data from the Peruvian Demographic and Health Survey (2019-2021) were analyzed. The sample consisted of 26 933 participants. The outcome variable was WC. The exposure variables included the overall Patient Health Questionnaire-9 (PHQ-9) score and severity of depressive symptoms. Generalized linear models of the Gaussian family estimated the effects with β coefficients for the associations between WC and depressive symptoms stratified by age and sex.

RESULTS

A significant inverse association was observed between depressive symptoms and WC in young (< 35 years) individuals of both sexes. In young males, a dose-response relationship emerged, with greater severity of depressive symptoms associated with progressively lower WC. Specifically, inverse associations were found for moderate (β = -1.74, 95% CI: -3.25 to -0.23), moderately severe (β = -2.81, 95% CI: -4.71 to -0.91), and severe (β = -2.75, 95% CI: -5.11 to -0.40) depressive symptoms.

CONCLUSIONS

Among young individuals of both sexes with a normal weight, depressive symptoms were inversely associated with WC. These findings underscore the need for nuanced considerations of age and sex when exploring the interplay of depression and abdominal adiposity in individuals with normal weight.

The longitudinal patterns of depression subtypes and stressors in depression severity in the Canadian longitudinal study on aging (CLSA)

AIM

The current study aims to characterize the longitudinal patterns of depression subtypes and investigate the associations among the stability of depression subtypes, COVID-19-related stressors, and depression severity.

METHODS

The study utilized data from the Canadian Longitudinal Study on Aging, which is a national, long-term study of Canadian adults aged 45 and older (n = 12,957). Latent profile analysis was used to identify latent depression subtypes. Latent transition analysis was then applied to assess the stability of these subtypes over time. Hierarchical multivariate linear regression was used to explore the relationships among these identified depression subtypes, COVID-19-related stressors, and depression severity among males and females, respectively.

RESULTS

Distinct depression subtypes were identified. Except for atypical depression, other depression subtypes showed greater stability over time. We also found that melancholic depression (B = 9.432) and typical depression (B = 6.677) were strongly associated with depression severity during the pandemic. Health-related stressors (B = 0.840), conflict (B = 3.639), difficulties accessing resources (B = 0.927), separation from family (B = 0.840), and caregiving experience (B = 0.764), were significantly associated with increased depression severity. Sex-specific analyses also revealed differences in the associations between stressors and depression severity between males and females.

CONCLUSIONS

This study contributes valuable insights into the latent clustering of depression subtypes and their stability. Stressors were associated with increased depression severity, with distinct associations observed among males and females. These findings have implications for targeted early interventions and integrated clinical management strategies by providing the evidence base for tailored mental health care during and after the pandemic.

Heterogeneity of Cognition in Older Adults with Remitted Major Depressive Disorder: A Latent Profile Analysis

OBJECTIVES

To identify data-driven cognitive profiles in older adults with remitted major depressive disorder (rMDD) with or without mild cognitive impairment (MCI) and examine how the profiles differ regarding demographic, clinical, and neuroimaging measures.

DESIGN

Secondary cross-sectional analysis using latent profile analysis.

SETTING

Multisite clinical trial in Toronto, Canada.

PARTICIPANTS

One hundred seventy-eight participants who met DSM-5 criteria for rMDD without MCI (rMDD-MCI; n = 60) or with MCI (rMDD + MCI; n = 118).

MEASUREMENTS

Demographic, clinical, neuroimaging measures, and domain scores from a neuropsychological battery assessing verbal memory, visuospatial memory, processing speed, working memory, language, and executive function.

RESULTS

We identified three latent profiles: Profile 1 (poor cognition; n = 75, 42.1%), Profile 2 (intermediate cognition; n = 75, 42.1%), and Profile 3 (normal cognition; n = 28, 15.7%). Compared to participants with Profile 3, those with Profile 1 or 2 were older, had lower education, experienced a greater burden of medical comorbidities, and were more likely to have MCI. The profiles did not differ on the severity of residual symptoms, age of onset of rMDD, number of depressive episodes, psychotropic medication, cerebrovascular risk, ApoE4 carrier status, or family history of depression, dementia, or Alzheimer's disease. The profiles differed in cortical thickness of 15 regions, with the most prominent effects for left precentral and pars opercularis, and right inferior parietal and supramarginal.

CONCLUSION

Older patients with rMDD can be grouped cross-sectionally based on data-driven cognitive profiles that differ from the absence or presence of a diagnosis of MCI. Future research should determine the differential risk for dementia of these data-driven subgroups.

Depressive Symptom Subgroups and Their Association with Prevalent and Incident Cardiovascular Risk Factors in the Coronary Artery Risk Development in Young Adults (CARDIA) Study

BACKGROUND

We sought to identify depressive symptom subgroups in a community sample of young adults, investigate their stability over time, and determine their association with prevalent and incident cardiovascular disease (CVD) risk factors.

METHOD

Participants were 3377 adults from the Coronary Artery Risk Development in Young Adults study. Using latent class and latent transition analysis, we derived subgroups based on items of the 20-item version of the Center for Epidemiologic Studies Depression Scale in 1990, and examined patterns of change over a 10-year period (1990-2000). Cox regression models were used to examine associations between subgroup membership and prevalent (2000) and incident (2000 to 2016) obesity, hypertension, and diabetes.

RESULTS

Three baseline subgroups were identified and labeled: "No Symptoms" (63.5%), "Lack of Positive Affect" (PA, 25.6%), and "Depressed Mood" (10.9%). At 10-year follow-up, individuals in "No Symptoms" subgroup had the highest probability (0.84) of being classified within the same subgroup. Participants classified as "Lack of PA" were likely (0.46) to remain in the same subgroup or be classified as "No Symptoms." Participants in the "Depressed Mood" were most likely to transition to the "Lack of PA" subgroup (0.38). Overall, 30.5% of participants transitioned between subgroups, with 11.4% classified as "Worsening" and 19.1% as "Improving." Relative to the "No Symptoms Stable," other subgroups ("Depressed Stable," "Worsening," and "Improving") were associated with prevalent obesity and hypertension.

CONCLUSION

We identified distinct depressive symptom subgroups that are variably stable over time, and their change patterns were differentially associated with CVD risk factor prevalence.

Course of Subtypes of Late-Life Depression Identified by Bipartite Network Analysis During Psychosocial Interventions

Importance

Approximately half of older adults with depression remain symptomatic at treatment end. Identifying discrete clinical profiles associated with treatment outcomes may guide development of personalized psychosocial interventions.

Objective

To identify clinical subtypes of late-life depression and examine their depression trajectory during psychosocial interventions in older adults with depression.

Design, Setting, and Participants

This prognostic study included older adults aged 60 years or older who had major depression and participated in 1 of 4 randomized clinical trials of psychosocial interventions for late-life depression. Participants were recruited from the community and outpatient services of Weill Cornell Medicine and the University of California, San Francisco, between March 2002 and April 2013. Data were analyzed from February 2019 to February 2023.

Interventions

Participants received 8 to 14 sessions of (1) personalized intervention for patients with major depression and chronic obstructive pulmonary disease, (2) problem-solving therapy, (3) supportive therapy, or (4) active comparison conditions (treatment as usual or case management).

Main Outcomes and Measures

The main outcome was the trajectory of depression severity, assessed using the Hamilton Depression Rating Scale (HAM-D). A data-driven, unsupervised, hierarchical clustering of HAM-D items at baseline was conducted to detect clusters of depressive symptoms. A bipartite network analysis was used to identify clinical subtypes at baseline, accounting for both between- and within-patient variability across domains of psychopathology, social support, cognitive impairment, and disability. The trajectories of depression severity in the identified subtypes were compared using mixed-effects models, and time to remission (HAM-D score ≤10) was compared using survival analysis.

Results

The bipartite network analysis, which included 535 older adults with major depression (mean [SD] age, 72.7 [8.7] years; 70.7% female), identified 3 clinical subtypes: (1) individuals with severe depression and a large social network; (2) older, educated individuals experiencing strong social support and social interactions; and (3) individuals with disability. There was a significant difference in depression trajectories (F2,2976.9 = 9.4; P < .001) and remission rate (log-rank χ22 = 18.2; P < .001) across clinical subtypes. Subtype 2 had the steepest depression trajectory and highest likelihood of remission regardless of the intervention, while subtype 1 had the poorest depression trajectory.

Conclusions and Relevance

In this prognostic study, bipartite network clustering identified 3 subtypes of late-life depression. Knowledge of patients' clinical characteristics may inform treatment selection. Identification of discrete subtypes of late-life depression may stimulate the development of novel, streamlined interventions targeting the clinical vulnerabilities of each subtype.

Network structure of time-varying depressive symptoms through dynamic time warp analysis in late-life depression

OBJECTIVES

Late-life major depressive disorder (MDD) can be conceptualized as a complex dynamic system. However, it is not straightforward how to analyze the covarying depressive symptoms over time in case of sparse panel data. Dynamic time warping (DTW) analysis may yield symptom networks and dimensions both at the patient and group level.

METHODS

In the Netherlands Study of Depression in Older People (NESDO) depressive symptoms were assessed every 6 months using the 30-item Inventory of Depressive Symptomatology (IDS) with up to 13 assessments per participant. Our sample consisted of 182 persons, aged ≥ 60 years, with an IDS total score of 26 or higher at baseline. Symptom networks dimensions, and centrality metrics were analyzed using DTW and Distatis analyses.

RESULTS

The mean age was 69.8 years (SD 7.1), with 69.0% females, and a mean IDS score of 38.0 (SD = 8.7). DTW enabled visualization of an idiographic symptom network in a single NESDO participant. In the group-level nomothetic approach, four depressive symptom dimensions were identified: "core symptoms", "lethargy/somatic", "sleep", and "appetite/atypical". Items of the "internalizing symptoms" dimension had the highest centrality, whose symptom changes over time were most similar to those changes of other symptoms.

CONCLUSIONS

DTW revealed symptom networks and dimensions based on the within-person symptom changes in older MDD patients. Its centrality metrics signal the most influential symptoms, which may aid personalized care.

Psychological distress from early adulthood to early old age: evidence from the 1946, 1958 and 1970 British birth cohorts

BACKGROUND

Existing evidence on profiles of psychological distress across adulthood uses cross-sectional or longitudinal studies with short observation periods. The objective of this research was to study the profile of psychological distress within the same individuals from early adulthood to early old age across three British birth cohorts.

METHODS

We used data from three British birth cohorts: born in 1946 (n = 3093), 1958 (n = 13 250) and 1970 (n = 12 019). The profile of psychological distress - expressed both as probability of being a clinical case or a count of symptoms based on comparable items within and across cohorts - was modelled using the multilevel regression framework.

RESULTS

In both 1958 and 1970 cohorts, there was an initial drop in the probability of being a case between ages 23-26 and 33-34. Subsequently, the predicted probability of being a case increased from 12.5% at age 36 to 19.5% at age 53 in the 1946 cohort; from 8.0% at age 33 to 13.7% at age 42 in the 1958 cohort and from 15.7% at age 34 to 19.7% at age 42 in the 1970 cohort. In the 1946 cohort, there was a drop in the probability of caseness between ages 60-64 and 69 (19.5% v. 15.2%). Consistent results were obtained with the continuous version of the outcome.

CONCLUSIONS

Across three post-war British birth cohorts midlife appears to be a particularly vulnerable phase for experiencing psychological distress. Understanding the reasons for this will be important for the prevention and management of mental health problems.

Subtyping late-life depression according to inflammatory and metabolic dysregulation: a prospective study

BACKGROUND

Inflammation and metabolic dysregulation are age-related physiological changes and are associated with depressive disorder. We tried to identify subgroups of depressed older patients based on their metabolic-inflammatory profile and examined the course of depression for these subgroups.

METHODS

This clinical cohort study was conducted in a sample of 364 depressed older (⩾60 years) patients according to DSM-IV criteria. Severity of depressive symptoms was monitored every 6 months and a formal diagnostic interview repeated at 2-year follow-up. Latent class analyses based on baseline metabolic and inflammatory biomarkers were performed. Adjusted for confounders, we compared remission of depression at 2-year follow-up between the metabolic-inflammatory subgroups with logistic regression and the course of depression severity over 2-years by linear mixed models.

RESULTS

We identified a 'healthy' subgroup (n = 181, 49.7%) and five subgroups characterized by different profiles of metabolic-inflammatory dysregulation. Compared to the healthy subgroup, patients in the subgroup with mild 'metabolic and inflammatory dysregulation' (n = 137, 37.6%) had higher depressive symptom scores, a lower rate of improvement in the first year, and were less likely to be remitted after 2-years [OR 0.49 (95% CI 0.26-0.91)]. The four smaller subgroups characterized by a more specific immune-inflammatory dysregulation profile did not differ from the two main subgroups regarding the course of depression.

CONCLUSIONS

Nearly half of the patients with late-life depressions suffer from metabolic-inflammatory dysregulation, which is also associated with more severe depression and a worse prognosis. Future studies should examine whether these depressed older patients benefit from a metabolic-inflammatory targeted treatment.

Age and sex trends in depressive symptoms across middle and older adulthood: Comparison of the Canadian Longitudinal Study on Aging to American and European cohorts

BACKGROUND

The literature suggests depressive symptoms differ in a non-linear fashion across adulthood and are more commonly reported in women as compared to men. Whether these trends are observed across countries in population-based cohorts is unclear.

METHODS

Cross-sectional observational study of approximately 138,000 women and men between the ages of 45 and 95 from three population-based cohorts representing Canadian, European, and American populations. Age, gender, educational attainment and annual income were assessed in each cohort. Depressive symptoms were assessed by the Center for Epidemiological Studies Depression Scale in the US and Canadian cohorts, and by the EURO-D in the European cohort.

RESULTS

Across all three cohorts, non-linear age trends and gender differences were observed in the report of depressive symptoms, independent from educational attainment and annual income effects. The non-linear age trends reflected a negative association between depressive symptoms and age during midlife and then a positive association in late life. Females reported greater depressive symptoms than males; however, an interaction between gender and age was also observed in the Canadian and European cohorts. Among Canadians, the gender differences were largest after age 70, whereas among Europeans, gender differences where largest among those approximately aged 60.

LIMITATIONS

Limitations include: 1) the cross-sectional nature of the study, resulting in age differences potentially reflecting cohort effects rather than a developmental process; and 2) the use of different depressive symptoms measures across cohorts.

CONCLUSIONS

Characterization of depressive symptoms over mid and late adulthood in women and men provides insights into potential focal points for intervention and allocation of resources.

Associations between depression subtype and functional impairment and treatment utilization in a national sample of adolescents

BACKGROUND

Prior studies have characterized distinct major depressive episode (MDE) subtypes among adults, yet limited evidence exists regarding variation in MDE during adolescence.

METHODS

Using 2008-2016 National Survey of Drug Use and Health data, latent class analysis (LCA) was used to characterize depression subtypes (based on symptom presentation) among 9,896 youth ages 12-17 with recent first-onset MDE. Logistic regression was used to estimate associations of MDE subtype with functional outcomes and treatment utilization, adjusting for demographic characteristics and depression severity (i.e., number of MDE diagnostic criteria and recurrence status) RESULTS: A 5-class LCA model provided optimal fit. Three distinct categories of MDE symptoms generally clustered together, which we termed "somatic," "cognitive," and "self-worth;" classes were differentiated by distinct combinations of symptoms across these 3 categories. Subtypes were characterized as: Highly Symptomatic (39% of youth); Somatic & Cognitive (24%), Somatic (22%), Diffuse Symptoms (8%), and Somatic & Self-Worth (6%). The majority of youth reported at least moderate impairment across multiple domains; subtype was a significant predictor of functional impairment. Only 34% of youth received any past-year depression-related treatment; treatment utilization was significantly higher for MDE subtypes with the highest prevalences of suicidal ideation.

LIMITATIONS

Due to cross-sectional data, we cannot establish causal directionality.

CONCLUSIONS

Subtype was significantly predictive of functional impairment and treatment utilization, above and beyond number of MDE diagnostic criteria or recurrence status. Understanding distinct profiles of adolescent depression, as well as potential differential associations with impairment, can inform prevention, diagnosis, and treatment of depression among youth.

Decline of depressive symptoms in Europe: differential trends across the lifespan

PURPOSE

We examined changes in the burden of depressive symptoms between 2006 and 2014 in 18 European countries across different age groups.

METHODS

We used population-based data drawn from the European Social Survey (N = 64.683, 54% female, age 14-90 years) covering 18 countries (Austria, Belgium, Denmark, Estonia, Finland, France, Germany, Great Britain, Hungary, Ireland, The Netherlands, Norway, Poland, Portugal, Slovenia, Spain, Sweden, Switzerland) from 2006 to 2014. Depressive symptoms were measured via the CES-D 8. Generalized additive models, multilevel regression, and linear regression analyses were conducted.

RESULTS

We found a general decline in CES-D 8 scale scores in 2014 as compared with 2006, with only few exceptions in some countries. This decline was most strongly pronounced in older adults, less strongly in middle-aged adults, and least in young adults. Including education, health and income partially explained the decline in older but not younger or middle-aged adults.

CONCLUSIONS

Burden of depressive symptoms decreased in most European countries between 2006 and 2014. However, the decline in depressive symptoms differed across age groups and was most strongly pronounced in older adults and least in younger adults. Future studies should investigate the mechanisms that contribute to these overall and differential changes over time in depressive symptoms.

Depression severity is associated with impaired facial emotion processing in a large international sample

BACKGROUND

Depression is associated with biases in facial emotion processing, which have an impact on the course and treatment of depression. While decades of research have established a negativity bias in processing in depression, there is still a gap in our understanding of how depression severity impacts sensitivity to detecting differences in emotional faces.

METHODS

We examined emotion sensitivity (ES), or the ability to to detect subtle differences in emotional faces, in a large, geographically and culturally diverse, web-based sample (N = 6598, age range = 18-96, 56.50% female, 66% Caucasian). Participants completed ES tasks (fear, anger, or happiness) and a Beck Depression Inventory-II, to determine depression severity.

RESULTS

Depression severity was correlated with overall ES performance as well as ES performance for individual emotions. Higher depression scores were associated with poorer performance in detecting happiness, fear, and anger (ps < .001). Examining performance by region, Eastern countries showed significantly poorer ES performance compared to Western countries, and were significantly more depressed.

LIMITATIONS

Our sample is non-clinical and self-selected.

CONCLUSIONS

This study is an extension of existing research on emotional facial processing, with an approach that takes into consideration the heterogeneity of depression symptoms and corrects psychometric confounds of traditional emotion face processing paradigms. Overall, factors related to severity, task reliability, and facial stimuli should be considered in determining the potential mechanism of facial emotion processing in the onset and course of depression.

Shades of Blue and Gray: A Comparison of the Center for Epidemiologic Studies Depression Scale and the Composite International Diagnostic Interview for Assessment of Depression Syndrome in Later Life

BACKGROUND AND OBJECTIVES

Psychiatric research lacks the equivalent of a thermometer, that is, a tool that accurately measures mental disorder regardless of context. Instead, the psychometric properties of scales that purport to assess psychopathology must be continuously evaluated. To that end, this study evaluated the diagnostic agreement between the eight-item Center for Epidemiologic Studies Depression Scale (CESD-8) and the Composite International Diagnostic Interview-short form (CIDI-SF) in the Health and Retirement Study (HRS).

RESEARCH DESIGN AND METHODS

Data come from 17,613 respondents aged >50 from the 2014 wave of the HRS. Kappa coefficients were used to assess the agreement between the 2 instruments on depression classification across a range of thresholds for identifying case status, including variation across subgroups defined by age, race/ethnicity, and gender.

RESULTS

The point prevalence of depression syndrome estimated by the CESD was higher than that estimated by the CIDI-SF (CESD: 9.9%-19.5% depending on the cutoff applied to the CESD vs CIDI-SF: 7.7%). Assuming CIDI-SF as the gold standard, the CESD yielded a sensitivity of 56.2%-70.2% and specificity of 84.7%-94.0% across the range of cutoffs. The agreement on depression classification was weak (κ = 0.32-0.44).

DISCUSSION AND IMPLICATIONS

Depression cases identified by the CESD have poor agreement with those identified by the CIDI-SF. Conceptually, psychological distress as measured by the CESD is not interchangeable with depression syndrome as measured by the CIDI-SF. Population estimates of depression among older adults based on the CESD should be interpreted with caution.

Stability and transition of depression subtypes in late life

BACKGROUND

The heterogeneity of late-life depression hampers diagnosis and treatment. Data-driven methods have identified several subtypes of depression in older persons, but the longitudinal stability of these subtypes remains unknown.

METHODS

In total 111 older persons with a major depressive disorder both at baseline and 2-year follow-up from the Netherlands Study of Depression in Older persons (NESDO) were included. Latent class analysis was performed to identify subtypes of depression at baseline and at 2-year follow-up, and latent transition analysis was used to examine the stability of these subtypes over time. Transition rates between subtypes and characteristics of groups were examined.

RESULTS

Two subtypes were identified in both baseline (T0) and follow-up data (T1), including a 'melancholic' subtype (prevalence 80.2% (T0) and 62.2% (T1)), and an 'atypical' subtype (prevalence 19.8% (T0) and 37.8% (T1)). The melancholic subtype was characterized by decreased appetite and weight and had a stability of 0.86. The atypical subtype was characterized by increased appetite and weight and had a stability of 0.93, although the discriminating power of different symptoms had decreased at T1. Mean age and education differed significantly between stable and transitioning subgroups, other characteristics did not differ between subgroups.

LIMITATIONS

Limited sample size might have hampered the analyses.

CONCLUSIONS

Subtypes of late-life depression are relatively stable, but symptoms of depression (like weight loss) seem to blur with symptoms of (patho)physiological aging. This underlines the clinical relevance of depression subtyping, but also the importance of further research into subtypes and the influence of aging.

Epigenome-wide association study of depression symptomatology in elderly monozygotic twins

Depression is a severe and debilitating mental disorder diagnosed by evaluation of affective, cognitive and physical depression symptoms. Severity of these symptoms strongly impacts individual's quality of life and is influenced by a combination of genetic and environmental factors. One of the molecular mechanisms allowing for an interplay between these factors is DNA methylation, an epigenetic modification playing a pivotal role in regulation of brain functioning across lifespan. The aim of this study was to investigate if there are DNA methylation signatures associated with depression symptomatology in order to identify molecular mechanisms contributing to pathophysiology of depression. We performed an epigenome-wide association study (EWAS) of continuous depression symptomatology score measured in a cohort of 724 monozygotic Danish twins (346 males, 378 females). Through EWAS analyses adjusted for sex, age, flow-cytometry based blood cell composition, and twin relatedness structure in the data we identified depression symptomatology score to be associated with blood DNA methylation levels in promoter regions of neuropsin (KLK8, p-value = 4.7 × 10^-7) and DAZ associated protein 2 (DAZAP2, p-value = 3.13 × 10^-8) genes. Other top associated probes were located in gene bodies of MAD1L1 (p-value = 5.16 × 10^-6), SLC29A2 (p-value = 6.15 × 10^-6) and AKT1 (p-value = 4.47 × 10^-6), all genes associated before with development of depression. Additionally, the following three measures (a) DNAmAge (calculated with Horvath and Hannum epigenetic clock estimators) adjusted for chronological age, (b) difference between DNAmAge and chronological age, and (c) DNAmAge acceleration were not associated with depression symptomatology score in our cohort. In conclusion, our data suggests that depression symptomatology score is associated with DNA methylation levels of genes implicated in response to stress, depressive-like behaviors, and recurrent depression in patients, but not with global DNA methylation changes across the genome.

Aerobic exercise in depressed youth: A feasibility and clinical outcomes pilot

AIM

Major depressive disorder (MDD) onset generally occurs in adolescence/early adulthood. However, pharmacotherapy use in younger populations is restricted due to black box warnings. Aerobic exercise may be a viable treatment option for mild-to-moderate MDD, but little is known about its acceptability/effectiveness in young adults.

METHODS

Unmedicated and relatively inactive 18-to-24 olds with MDD completed fitness/clinical assessments at baseline and after 12 weeks of supervised aerobic exercise (3×/wk; 30-minute sessions in target heart rate [HR] zone), with the aim of increasing cardiovascular fitness (VO_2max -indexed).

RESULTS

Post-intervention, predicted VO_2max increased, whereas depression scores decreased. A correlation existed between time spent in target HR zone and anxiety symptom decreases. Exercise adherence and satisfaction were high, and drop-out was minimal.

CONCLUSIONS

This pilot is among the first to assess the feasibility of aerobic exercise as an antidepressant treatment strategy in young adults, a group for which options have limited acceptability.

Identifying clinical net benefit of psychotropic medication use with latent variable techniques: Evidence from Systematic Treatment Enhancement Program for Bipolar Disorder (STEP-BD)

BACKGROUND

Poor medication adherence is common among individuals with Bipolar Disorder (BD). Understanding the sources of heterogeneity in clinical net benefit (CNB) and how it is related to psychotropic medications can provide new insight into ways to improve adherence.

METHODS

Data come from the baseline assessments of the Systematic Treatment Enhancement Program for Bipolar Disorder (STEP-BD). Latent class analysis identified groups of CNB, and validity of this construct was assessed using the SF-36. Adherence was defined as taking 75% or more of medications as prescribed. Associations between CNB and adherence were tested using multiple logistic regression adjusting for sociodemographic characteristics.

RESULTS

Five classes of CNB were identified: High (24%), Moderately high (12%), Moderate (26%), Moderately low (27%) and Low (12%). Adherence to psychotropic medications did not differ across classes (71% to 75%, χ²= 3.43, p = 0.488). Medication regimens differed by class: 57% of the High CNB were taking ≤2 medications, whereas 49% of the Low CNB were taking ≥4. CNB classes had good concordance with the SF-36.

LIMITATIONS

Missing data limited measures used to define CNB. Participants' perceptions of their illness and treatment were not assessed.

CONCLUSIONS

This novel operationalization of CNB has construct validity as indicated by the SF-36. Although CNB and polypharmacy regimens are heterogeneous in this sample, adherence is similar across CNB. Studying adherent individuals, despite suboptimal CNB, may provide novel insights into aspects influencing adherence.

Inflammatory markers and cortisol parameters across depressive subtypes in an older cohort

BACKGROUND

There is growing evidence that inflammatory and cortisol dysregulation are underlying pathophysiological mechanisms in the aetiology of major depressive disorder, particularly in younger adults. However, findings of biological disturbances in late-life depression have been divergent, probably due to the even greater heterogeneity of depression in older adults with aging processes influencing biological factors. Using empirically derived subtypes may enable the identification of biological disturbances underlying depression in older adults.

METHODS

Data were used from the Netherlands Study of Depression in Older Persons (NESDO) of 359 persons aged 60 years or older, with a current diagnosis of major depressive disorder (MDD). Depressive subtypes (severe atypical, severe melancholic, and moderate severe subtype) that were previously identified through latent class analysis (LCA), were examined on differences in inflammatory markers including C-reactive protein (CRP), interleukin-6 (IL-6), and neutrophil gelatinase-associated lipocalin (NGAL), as well as cortisol parameters.

RESULTS

No differences in measures for inflammation and cortisol across subtypes were observed in uncorrected or for putative confounders corrected models.

LIMITATIONS

Several subjects had missing cortisol and inflammatory data, decreasing the power. However, results did not change after imputation analysis.

DISCUSSION

In this cohort of depressed older adults, no differences in inflammation and cortisol measures between depression subtypes were observed. This is probably due to the many (patho)physiological processes that are involved in aging, thereby clouding the results.

Childhood physical maltreatment with physical injuries is associated with higher adult psychopathology symptoms

BACKGROUND

Previous research has neglected the distinction between childhood physical maltreatment (CPM) behaviors and the physical sequelae resulting from CPM. Prior empirical work has combined CPM behaviors (e.g., beat, hit with a belt) and CPM physical sequelae (e.g., bruises, fractures) into a single conceptual category to predict adverse psychological consequences in adults. This is preventing the examination whether specific subgroups of CPM exposure may report a higher risk of psychopathology symptoms in adulthood. The aim of this study was to examine whether distinct experiences of CPM histories (no physical maltreatment, physical maltreatment only, and physical maltreatment with physical sequelae) would be differentially associated with specific psychopathology dimensions in adulthood. symptoms METHOD: Data were drawn from the Portuguese National Representative Study of Psychosocial Context of Child Abuse and Neglect (N = 941). Participants completed the Childhood History Questionnaire and the Brief Symptom Inventory.

RESULTS

Three groups were created based on participants' experience of CPM assessed by the Childhood History Questionnaire. Participants who reported that suffered physical sequelae of the CPM exhibited significantly higher symptoms in all psychopathology dimensions than participants with no history of CPM and participants that were exposed to physical maltreatment without sequelae.

CONCLUSIONS

These findings suggest that clinicians should discriminate CPM behavior from CPM physical sequelae in order to increase effectiveness of mental health treatment with adults with history of CPM. Our findings are discussed in light of the evolutionary-developmental frameworks of adaptative development and cumulative risk hypothesis.

New insights into the correlation structure of DSM-IV depression symptoms in the general population v. subsamples of depressed individuals

AIMS

Previous research failed to uncover a replicable dimensional structure underlying the symptoms of depression. We aimed to examine two neglected methodological issues in this research: (a) adjusting symptom correlations for overall depression severity; and (b) analysing general population samples v. subsamples of currently depressed individuals.

METHODS

Using population-based cross-sectional and longitudinal data from two nations (Switzerland, 5883 young men; USA, 2174 young men and 2244 young women) we assessed the dimensions of the nine DSM-IV depression symptoms in young adults. In each general-population sample and each subsample of currently depressed participants, we conducted a standardised process of three analytical steps, based on exploratory and confirmatory factor and bifactor analysis, to reveal any replicable dimensional structure underlying symptom correlations while controlling for overall depression severity.

RESULTS

We found no evidence of a replicable dimensional structure across samples when adjusting symptom correlations for overall depression severity. In the general-population samples, symptoms correlated strongly and a single dimension of depression severity was revealed. Among depressed participants, symptom correlations were surprisingly weak and no replicable dimensions were identified, regardless of severity-adjustment.

CONCLUSIONS

First, caution is warranted when considering studies assessing dimensions of depression because general population-based studies and studies of depressed individuals generate different data that can lead to different conclusions. This problem likely generalises to other models based on the symptoms' inter-relationships such as network models. Second, whereas the overall severity aligns individuals on a continuum of disorder intensity that allows non-affected individuals to be distinguished from affected individuals, the clinical evaluation and treatment of depressed individuals should focus directly on each individual's symptom profile.

Depressive subtypes in an elderly cohort identified using latent class analysis

BACKGROUND

Clinical findings indicate heterogeneity of depressive disorders, stressing the importance of subtyping depression for research and clinical care. Subtypes of the common late life depression are however seldom studied. Data-driven methods may help provide a more empirically-based classification of late-life depression.

METHODS

Data were used from the Netherlands Study of Depression in Older People (NESDO) derived from 359 persons, aged 60 years or older, with a current diagnosis of major depressive disorder. Latent class analysis (LCA) was used to identify subtypes of depression, using ten CIDI-based depression items. Classes were then characterized using various sociodemographic and clinical characteristics.

RESULTS

The most prevalent class, as identified by LCA, was a moderate-severe class (prevalence 46.5%), followed by a severe melancholic class (prevalence 38.4%), and a severe atypical class (prevalence 15.0%). The strongest distinguishing features between the three classes were appetite and weight and, to a lesser extent, psychomotor symptoms and loss of interest. Compared with the melancholic class, the severe atypical class had the highest prevalence of females, the lowest mean age, the highest BMI, and highest prevalence of both cardiovascular disease, and metabolic syndrome.

LIMITATIONS

The strongest distinguishing symptoms, appetite and weight, could be correlated. Further, only longitudinal studies could demonstrate whether the identified classes are stable on the long term.

DISCUSSION

In older persons with depressive disorders, three distinct subtypes were identified, similar to subtypes found in younger adults. The strongest distinguishing features were appetite and weight; moreover, classes differed strongly on prevalence of metabolic syndrome and cardiovascular disease. These findings suggest differences in the involvement of metabolic pathways across classes, which should be considered when investigating the pathogenesis and (eventually) treatment of depression in older persons.

The identification of symptom-based subtypes of depression: A nationally representative cohort study

BACKGROUND

In recent years, researchers have used various techniques to elucidate the heterogeneity in depressive symptoms. This study seeks to resolve the extent to which variations in depression reflect qualitative differences between symptom categories and/or quantitative differences in severity.

METHODS

Data were used from the Netherlands Mental Health Survey and Incidence Study-2, a nationally representative face-to-face survey of the adult general population. In a subsample of respondents with a lifetime key symptom of depression at baseline and who participated in the first two waves (n=1388), symptom profiles at baseline were based on symptoms reported during their worst lifetime depressive episode. Depressive symptoms and DSM-IV diagnoses were assessed with the Composite International Diagnostic Interview 3.0. Three latent variable techniques (latent class analysis, factor analysis, factor mixture modelling) were used to identify the best subtyping model.

RESULTS

A latent class analysis, adjusted for local dependence between weight change and appetite change, described the data best and resulted in four distinct depressive subtypes: severe depression with anxiety (28.0%), moderate depression with anxiety (29.3%), moderate depression without anxiety (23.6%) and mild depression (19.0%). These classes showed corresponding clinical correlates at baseline and corresponding course and outcome indicators at follow-up (i.e., class severity was linked to lifetime mental disorders at baseline, and service use for mental health problems and current disability at follow-up).

LIMITATIONS

Although the sample was representative of the population on most parameters, the findings are not generalisable to the most severely affected depressed patients.

CONCLUSIONS

Depression could best be described in terms of both qualitative differences between symptom categories and quantitative differences in severity. In particular anxiety was a distinguishing feature within moderate depression. This study stresses the central position anxiety occupies in the concept of depression.

Subgenual anterior cingulate cortex and hippocampal volumes in depressed youth: The role of comorbidity and age

OBJECTIVES

Many studies have reported that adults with recurrent major depressive disorder (MDD) have smaller hippocampal volumes than control participants. The data are more variable in youth with MDD, where findings have been inconsistent and the effects of factors such as age and co-morbidity have not been systematically examined. This study therefore assessed hippocampus and subgenual anterior cingulate (sgACC) morphometry in 168 youth, aged 12-25, with or without MDD and comorbid anxiety.

METHODS

Structural magnetic resonance imaging (MRI) scans and clinical assessments were obtained from 80 participants with MDD (36 with comorbid anxiety disorder) and 88 age-matched control participants.

RESULTS

Participants with MDD had smaller right hippocampi than controls (p=.013). Older depressed participants (20.1-25 years) had smaller hippocampal volumes than younger ones (<20.1 years; p=.05); this age effect was not apparent in controls (p=.46). Depression scores, indexed by the HAMD17, correlated with hippocampal volumes in older depressed youth. Depressed participants with comorbid anxiety had smaller sgACC, but not hippocampal, volumes than those without anxiety (p=.042).

LIMITATIONS

Longitudinal, versus cross-sectional, studies can most optimally assess the influence of depression on neurodevelopmental profiles. Though our participants were largely treatment-naïve or in their first week of pharmacotherapy, a handful had extensive treatment histories; thus, treatment history may have influenced brain morphometry.

CONCLUSIONS

Age effects were apparent when hippocampal volumes of older and younger participants with MDD were compared; such differences were not apparent in healthy participants. Comorbid anxiety was associated with decreased sgACC volumes suggesting delayed or altered neurodevelopment in a key emotion regulation region.

Depressive Symptoms Affect Working Memory in Healthy Older Adult Hispanics

OBJECTIVES

Low and middle income nations will experience an unprecedented growth of the elderly population and subsequent increase in age-related neurological disorders. Worldwide prevalence and incidence of all-types of neurological disorders with serious mental health complications will increase with life expectancy across the globe. One-in- ten individuals over 75 has at least moderate cognitive impairment. Prevalence of cognitive impairment doubles every 5 years thereafter. Latin America's population of older adult's 65 years and older is growing rapidly, yet little is known about cognitive aging among healthy older Latinos. Clinically significant depressive symptomatology is common among community-dwelling older adults and is associated with deficits across multiple cognitive domains, however much of the literature has not modeled the unique effects of depression distinct from negative and low positive affect. Our objective was to understand how mental health affects cognitive health in healthy aging Latinos.

METHODS

The present study used confirmatory factor analysis (CFA) and structural equation modeling (SEM) to examine the relative effects of Negative Affect, Positive Affect and Geriatric Depression on Verbal Memory, Verbal Reasoning, Processing Speed, and Working Memory in healthy aging Latinos. Data was collected from a sample of healthy community dwelling older adults living in San Jose, Costa Rica. Modeling of latent variables attenuated error and improved measurement reliability of cognition, affect, and depression variables.

RESULTS

Costa Ricans enjoy a notoriety for being much happier than US citizens and are renowned as one of the happiest nations in the world in global surveys. This was born out in these data. Costa Rican affective profiles differed substantively from US profiles. Levels of negative affect and depression were similar to US samples, but their levels of positive affect were much higher. Cognitive performance of these Costa Rican older adults was similar to US-age and education matched peers. CFA and SEM found that increased depressive symptomatology had deleterious effects on Working Memory made up of subtest scores sampling simple attention and vigilance for numbers. Verbal Memory, Verbal Reasoning, and Processing Speed were not affected by self-reported Positive Affect, Negative Affect or Depressive symptoms.

CONCLUSION

Costa Rican older adults were happy, as evidenced by the high ratio of positive affect to relatively low negative affect. Thus, we were somewhat surprised to find that depressive symptoms were selectively correlated to decrements in working memory and that negative and positive affect contributed negligible amounts of variance to any of the cognitive factors. Because of the methodological rigor of latent variable analysis, these results are very specific. The Working Memory factor is not contaminated with Speed of Processing or other measured cognitive factors. Likewise, the measured Geriatric Depression represents symptoms that are richly cognitive, not overtly affective.

Differences in anxiety and depression symptoms: comparison between older and younger clinical samples

BACKGROUND

Anxiety and depression symptoms change over the lifespan and older adults use different terms to describe their mental health, contributing to under identification of anxiety and depression in older adults. To date, research has not examined these differences in younger and older samples with comorbid anxiety and depression.

METHODS

One hundred and seven treatment-seeking participants (47 older, 60% female, and 60 younger, 50% female) with anxiety and mood disorders completed the Anxiety Disorders Interview Schedule and a symptom checklist to examine differences in symptom severity, symptom profiles and terms used to describe anxiety and mood.

RESULTS

The findings indicated several key differences between the presentation and description of anxiety and depression in younger and older adults. Older adults with Social Phobia reported fearing a narrower range of social situations and less distress and interference. Older adults with Generalized Anxiety Disorder (GAD) reported less worry about interpersonal relationships and work/school than younger adults, however, there were no differences between age groups for behavioral symptoms endorsed. Further older adults reported phobia of lifts/small spaces more frequently than younger adults. Depressed older depressed adults also reported more anhedonia compared to younger adults, but no differences in terms of reported sadness were found. Finally, older and younger adults differed in their descriptions of symptoms with older adults describing anxiety as feeling stressed and tense, while younger adults described anxiety as feeling anxious, worried or nervous.

CONCLUSIONS

Clinicians need to assess symptoms broadly to avoid missing the presence of anxiety and mood disorders especially in older adults.

Socioeconomic inequalities in health trajectories in Switzerland: are trajectories diverging as people age?

Do socioeconomic differences in health status increase as people age, reflecting cumulative advantage or disadvantage in health trajectories? Life course research hypothesises that cumulative advantage/disadvantage (CAD) is an important underlying social process that shape inequalities as people age. The objective of this study is to examine whether health trajectories are diverging as people age across socioeconomic positions (education, employment status and income). In a random sample of 3,665 respondents living in Switzerland (Swiss Household Panel 2004-2011), trajectories of self-rated health, body mass index, depression and medicated functioning were examined with multilevel regression models. The results showed that employment status and income were associated with diverging health trajectories among men; however, only a few associations supported the CAD hypothesis. Education was rarely associated with diverging health trajectories. In conclusion, little evidence was found to support the CAD model.

Influence of age of onset on limbic and paralimbic structures in depression

AIM

Major depressive disorder (MDD) onset during childhood/adolescence is associated with a greater illness burden and distinct clinical profile. However, limited research exists on the effect of age of MDD onset on volumetric abnormalities in para/limbic structures during adulthood.

METHODS

Subgenual anterior cingulate cortex (sgACC), hippocampus and caudate nucleus volumes were measured by manual tracing in depressed individuals (n = 45) and healthy controls (HC; n = 19). Volumetric comparisons were carried out between HC and MDD patients divided into those with pediatric (≤ 18 years; n = 17) and adult onset (≥ 19 years; n = 28).

RESULTS

The adult MDD-onset group had smaller sgACC volumes than the pediatric-onset and HC groups (age, sex controlled). No differences in caudate and hippocampus volumes existed. sgACC and hippocampal volumes were inversely correlated with depression severity.

CONCLUSIONS

Surprisingly, pediatric MDD-onset was not associated with more pronounced sgACC, hippocampus and caudate volume reductions. Nevertheless, age of illness onset appears to be a meaningful dimension of study in efforts to understand the neurobiological heterogeneity of MDD.

Mental health trajectories and their embeddedness in work and family circumstances: a latent state-trait approach to life-course trajectories

Mental health trajectories are known to be influenced by work and family circumstances. However, few studies have examined both of these influences simultaneously in a longitudinal manner. The life-course perspective stresses the importance of examining trajectories in terms of both stable and dynamic components. In this article we use structural equation models (latent state-trait, LST) to distinguish the stable and situational components of mental health trajectories and hypothesise that situational mental health is influenced by satisfaction with work and family, and this effect differs by gender. An analysis of data from a nationally representative sample of 1616 working Swiss residents (2000-2006) shows that mental health trajectories are mostly stable and only slightly sensitive to situational influences. However, situational influences in a given wave do predict situational influences in the next wave. Satisfaction with work and family influences situational mental health in both genders, but the impact is greater for men. In conclusion, the LST approach allows for the examination of mental health trajectories from a life-course perspective by distinguishing stable and situational components. Mental health trajectories are more stable and constant than they are dependent on work and family circumstances, and men are more sensitive to family circumstances than women.

The relationship between major depression and nonsuicide mortality for U.S. adults: the importance of health behaviors

OBJECTIVES

We aim to elucidate the role of health behaviors and health conditions in the association between depression and mortality. First, we examine the relationship between major depression and nonsuicide mortality among U.S. adults aged 50 and older. Second, we examine the relationship between major depression and cardiovascular disease and cancer, by baseline disease status. Third, we examine the role of health behaviors as potential mediators of the association between major depression and cause-specific mortality.

METHODS

We use data from the 1999 National Health Interview Study linked to the 2006 National Death Index (N = 11,369; M age = 65, deaths = 2,162) and Cox proportional hazards models to describe the relationships among major depression, health behaviors (alcohol use, cigarette smoking, physical activity), and nonsuicide mortality. We examine cause-specific mortality (cardiovascular and cancer) by baseline disease status.

RESULTS

Major depression remains associated with a 43% increase in the risk of death over the follow-up period, after we account for sociodemographic characteristics, health behaviors, and health conditions. Major depression is associated with 2.68 times the risk of cardiovascular disease mortality among those who did not have cardiovascular disease at baseline and 1.82 times for those with baseline cardiovascular disease. Health behaviors reduce the hazard ratio by 17% for all nonsuicide mortality, 3% for cardiovascular disease mortality, and 12% for cancer mortality.

DISCUSSION

Our results provide evidence of the important role of health behaviors and health conditions in the depression-mortality relationship and highlight the importance of identifying risk factors for depression among aging adults.