Symptom Severity Mixity in Older-Age Bipolar Disorder: Analyses From the Global Aging and Geriatric Experiments in Bipolar Disorder Database (GAGE-BD).

OBJECTIVE: Some individuals with bipolar disorder (BD) experience manic and depressive symptoms concurrently, but data are limited on symptom mixity in older age bipolar disorder (OABD). Using the Global Aging & Geriatric Experiments in Bipolar Disorder Database, we characterized mixity in OABD and associations with everyday function. METHODS: The sample (n = 805), from 12 international studies, included cases with both mania and depression severity ratings at a single timepoint. Four mixity groups were created: asymptomatic (A), mixed (Mix), depressed only (Dep), and manic only (Man). Generalized linear mixed models used mixity group as the predictor variable; cohort was included as a random intercept. Everyday function was assessed with the Global Assessment of Functioning score. RESULTS: Group proportions were Mix (69.6%; n = 560), followed by Dep (18.4%; n = 148), then A (7.8%; n = 63), then Man (4.2%; n= 34); levels of depression and mania were similar in Mix compared to Dep and Man, respectively. Everyday function was lowest in Mix, highest in A, and intermediate in Man and Dep. Within Mix, severity of depression was the main driver of worse functioning. Groups differed in years of education, with A higher than all others, but did not differ by age, gender, employment status, BD subtype, or age of onset. CONCLUSIONS: Mixed features predominate in a cross-sectional, global OABD sample and are associated with worse everyday function. Among those with mixed symptoms, functional status relates strongly to current depression severity. Future studies should include cognitive and other biological variables as well as longitudinal designs to allow for evaluation of causal effects.

Metabolic syndrome rates in older patients with severe mental illness after five years of follow-up and the association with mortality.

OBJECTIVES: To establish the course of metabolic syndrome (MS) rates in older patients with severe mental illness (SMI) after 5-year follow-up and evaluate whether MS at baseline is associated with mortality or diabetes at follow-up. METHODS: Patients (>60 years of age) with SMI (N = 100) were included at a specialized mental health outpatient clinic. Metabolic parameters were collected from patients' medical files at baseline and after 5-year follow-up. RESULTS: Follow-up data were available of 98 patients (98%); nine patients had died. Parameters of MS were available of 76 patients; 34.2% were diagnosed with MS. This was not significantly different compared with baseline (46.1%). MS at baseline was not significantly associated with mortality or development of diabetes at follow-up. CONCLUSIONS: In older patients with SMI, the rates of MS may reach a plateau. Screening for MS in older patients treated at a specialized mental health outpatient clinic may generate attention for their somatic health and treatment for the components of MS that may in turn have a positive effect on their outcome. However, further research with larger sample sizes is needed in order to confirm these findings.

Depression and eating styles are independently associated with dietary intake.

Depression and eating styles are two important, interrelated factors associated with dietary intake. However, it remains unclear whether depression and eating styles are independently associated with dietary intake, and whether associations between depression and dietary intake are mediated by eating styles. Therefore, the aim of the current study was to investigate the associations of, and interplay between depression and eating styles in relation to different aspects of dietary intake. Cross-sectional data from 1442 participants (healthy controls (22.7%), remitted (61.0%) and current patients (16.3%)) from the Netherlands Study of Depression and Anxiety were used. Linear regression analyses were used to determine associations of depressive disorders (DSM-IV based psychiatric interview), self-reported depressive symptoms (Inventory of Depressive Symptomatology), emotional, external and restrained eating (Dutch Eating Behavior Questionnaire) with 4 measures of dietary intake (total energy intake (kcal/d), Mediterranean diet score (MDS), intake of sweets foods (g/d), and snack/fast-food (g/d)) measured with a 238-item food frequency questionnaire. Statistical mediation analyses were used to study whether associations between depression and dietary intake were mediated by eating styles. Current depression diagnosis and severity were associated with lower MDS and higher intake of sweet foods and snack/fast-food. Emotional and external eating were associated with higher intakes of snack/fast-food; external eating was also associated with higher total energy intake. Restrained eating was associated with lower total energy and intake of sweet foods, and higher MDS. Associations between current depression or severity and intake of snack/fast-food were mediated by external eating. In general, depression and eating styles contributed independently to poorer diet quality and higher intake of sweet and snack/fast-food. The association between depression and higher intake of snack/fast-food was mediated by external eating.

Screening for metabolic syndrome in older patients with severe mental illness.

OBJECTIVE: To evaluate metabolic screening of elderly patients with severe mental illness (SMI) in terms of newly detected metabolic abnormalities. METHODS: Prospective evaluation of the metabolic screening outcome data of 100 consecutive elderly outpatients with SMI, all with universal access to health services. We gathered data on previous diagnoses of hypertension, diabetes, and dyslipidemia and assessed metabolic syndrome parameters. The findings were compared with those from a group of 124 healthy elderly. RESULTS: In our patients with SMI (mean age: 69 years; 52% bipolar disorder, 48% schizophrenia), the frequency of metabolic syndrome was not higher compared with the healthy elderly. However, in 51% of the SMI sample, metabolic screening detected at least one metabolic abnormality in a patient with no prior history for that specific parameter. CONCLUSION: Implementing routine screening for metabolic syndrome in elderly patients with SMI may reveal substantial rates of previously undetected metabolic abnormalities.

Effects of food-related behavioral activation therapy on eating styles, diet quality and body weight change: Results from the MooDFOOD Randomized Clinical Trial.

OBJECTIVE: Depression and obesity are bi-directionally related, eating styles and diet quality are two important factors associated with both. It remains uncertain if and how these two factors can be modified. Therefore the current study aims to investigate whether food-related behavioral activation therapy (F-BA), targeting mood, dietary habits and food related behavior, can improve eating styles, and diet quality and reduce body weight in adults with overweight or obesity and subsyndromal depressive symptoms. METHODS: Data were derived from the MooDFOOD prevention trial, a 2x2 factorial RCT investigating the effect of nutritional strategies on prevention of depression. Changes in emotional, uncontrolled, and cognitive restrained eating (Three Factor Eating Questionnaire Revised), Mediterranean Diet Score (MDS), and body weight were analyzed among 1025 adults who either received F-BA or no intervention for 12 months. Intervention effect was tested by longitudinal analysis of covariance using mixed model analysis. RESULTS: The F-BA group showed a small decrease in emotional (ß=-5.68, p<.001) and uncontrolled eating (ß=-4.05, p=.03), and increase in cognitive restrained eating (ß=5.53, p<.01), compared to no F-BA. The effect of the F-BA therapy on emotional and uncontrolled eating was stronger in those with higher baseline depressive symptoms (IDS-SR). The F-BA did also lead to small improvements in MDS (ß=1.95, p<.001), but not to change in body weight. CONCLUSION: Our trial showed no reduction in bodyweight, but provides support for the possibility to improve both unhealthy eating styles and diet quality using an intervention targeting these specifically, although effects were small [Trial registration: clinicaltrials.gov NCT02529423].

Depressive Symptom Clusters in Relation to Body Weight Status: Results From Two Large European Multicenter Studies.

Background: There is strong evidence for a bidirectional association between depression and obesity. Several biological, psychological, and behavior-related factors may influence this complex association. Clinical impression and preliminary evidence suggest that patients with a diagnosis of major depressive disorder may endorse very different depressive symptom patterns depending on their body weight status. Until now, little is known about potential differences in depressive symptoms in relation to body weight status. Objective: The aim of this analysis is the investigation of potential differences in depressive symptom clusters (mood symptoms, somatic/vegetative symptoms, and cognitive symptoms) in relation to body weight status. Methods: Cross-sectional baseline data were derived from two large European multicenter studies: the MooDFOOD Trial and the NESDA cohort study, including persons with overweight and obesity and normal weight reporting subthreshold depressive symptoms (assessment via Inventory of Depressive Symptomatology Self-Report, IDS-SR30). Different measures for body weight status [waist-to-hip ratio (WHR) and body mass index (BMI)] were examined. Propensity score matching was performed and multiple linear regression analyses were conducted. Results: A total of n = 504 individuals (73.0% women) were analyzed. Results show that more somatic/vegetative depressive symptoms, such as pain, change in appetite and weight, gastrointestinal symptoms, and arousal-related symptoms, were significantly associated with both a higher BMI and higher WHR, respectively. In addition, being male and older age were significantly associated with higher WHR. Mood and cognitive depressive symptoms did not yield significant associations for both body weight status measures. Conclusions: Somatic/vegetative symptoms and not mood and cognitive symptoms of depression are associated with body weight status. Thus, the results support previous findings of heterogeneous depressive symptoms in relation to body weight status. In addition to BMI, other body weight status measures for obesity should be taken into account in future studies. Clinical Trial Registration: www.ClinicalTrials.gov, identifier NCT02529423.

Eating styles in major depressive disorder: Results from a large-scale study.

Depressed persons have been found to present disturbances in eating styles, but it is unclear whether eating styles are different in subgroups of depressed patients. We studied the association between depressive disorder, severity, course and specific depressive symptom profiles and unhealthy eating styles. Cross-sectional and course data from 1060 remitted depressed patients, 309 currently depressed patients and 381 healthy controls from the Netherlands Study of Depression and Anxiety were used. Depressive disorders (DSM-IV based psychiatric interview) and self-reported depressive symptoms (Inventory of Depressive Symptomatology) were related to emotional, external and restrained eating (Dutch Eating Behavior Questionnaire) using analyses of covariance and linear regression. Remitted and current depressive disorders were significantly associated with higher emotional eating (Cohen's d = 0.40 and 0.60 respectively, p < 0.001) and higher external eating (Cohen's d = 0.20, p = 0.001 and Cohen's d = 0.32, p < 0.001 respectively). Little differences in eating styles between depression course groups were observed. Associations followed a dose-response association, with more emotional and external eating when depression was more severe (both p-values <0.001). Longer symptom duration was also associated to more emotional and external eating (p < 0.001 and p = 0.001 respectively). When examining individual depressive symptoms, neuro-vegetative depressive symptoms contributed relatively more to emotional and external eating, while mood and anxious symptoms contributed relatively less to emotional and external eating. No depression associations were found with restrained eating. Intervention programs for depression should examine whether treating disordered eating specifically in those with neuro-vegetative, atypical depressive symptoms may help prevent or minimize adverse health consequences.

Contributions of depression and body mass index to body image.

Depression and body mass index (BMI) are known to be associated with body image, however, their independent or joint effects on body image in adults are largely unknown. Therefore, we studied associations of depression diagnosis, severity, and BMI with perceptual body size (PBS) and body image dissatisfaction (BID). Cross-sectional data from 882 remitted depressed patients, 242 currently depressed patients and 325 healthy controls from the Netherlands Study of Depression and Anxiety were used. Depressive disorders (DSM-IV based psychiatric interview), standardized self-reported depressive symptoms (Inventory of Depressive Symptomatology) and BMI were separately and simultaneously related to body image (the Stunkard Figure Rating scale) using linear regression analyses. Thereafter, interaction between depression and BMI was investigated. Analyses were adjusted for demographic and health variables. Higher BMI was associated with larger PBS (B = 1.13, p < .001) and with more BID (B = 0.61, p < .001). Independent of this, depression severity contributed to larger PBS (B = 0.07, p < .001), and both current (B = 0.21, p = .001) and remitted depression diagnosis (B = 0.12, p = .01) as well as depression severity (B = 0.11, p < .001) contributed to BID. There was no interaction effect between BMI and depression in predicting PBS and BID. In general, depression (current, remitted and severity) and higher BMI contribute independently to a larger body size perception as well as higher body image dissatisfaction. Efforts in treatment should be made to reduce body dissatisfaction in those suffering from depression and/or a high BMI, as BID can have long-lasting health consequences, such as development of anorexia and bulimia nervosa and an unhealthy lifestyle.

Associations between cognitive functioning, mood symptoms and coping styles in older age bipolar disorder.

BACKGROUND: Older age patients with bipolar disorder (OABD) have often passive coping styles, generally considered as detrimental for functioning. The aim of the current study is to identify the contribution of cognitive functioning, subjective cognitive complaints and mood symptoms to passive and active coping styles in older age BD. METHODS: In 90 euthymic patients (age > 60) with BD I or II, we examined coping, neuropsychological profile including memory, attention, executive function and fluency, subjective cognitive complaints and mood symptoms. RESULTS: Better executive functioning and fewer depressive symptoms were associated with more active coping (p = .02 and p = .001 respectively). Associations between executive functioning and coping styles turned nonsignificant when combined with depressive symptoms in one model, indicating the importance of mood on coping styles. No associations were found between subjective cognitive complaints and coping styles. LIMITATIONS: Cross-sectional data were used and no conclusions about causality can be made. CONCLUSIONS: Even in euthymic patients, subclinical depressive symptoms may influence active coping negatively. Subjective cognitive complaints and objectified cognitive functioning seem to be of less importance for coping styles. Important implications are on the one hand optimizing treatment on reducing depressive symptoms and on the other hand focusing therapeutic interventions on coping in bipolar patients.

The association between depression and eating styles in four European countries: The MooDFOOD prevention study.

OBJECTIVE: Depression, one of the most prevalent and disabling disorders in Europe, is thought to be associated with unhealthy eating styles. As prevalence of depression and eating styles potentially differ across Europe, the current study aimed to investigate in a large, European sample, the associations of history of major depressive disorder and depression severity with unhealthy eating styles. METHODS: Baseline data of the MooDFOOD prevention study was used. The current analysis included 990 participants of four European countries (The Netherlands, United Kingdom, Germany, Spain). Analyses of Covariance and linear regression analyses were performed with depression history or depression severity as determinants, and emotional, uncontrolled, and cognitive restrained eating (Three Factor Eating Questionnaire Revised, 18 item) as outcomes. RESULTS: Depression history and severity were associated with more emotional and uncontrolled eating and with less cognitive restrained eating. Mood, somatic, and cognitive symptom clusters were also associated with more emotional and uncontrolled eating, and with less cognitive restrained eating. The somatic depressive symptoms "increased appetite" and "increased weight" were more strongly associated to unhealthy eating styles compared to other symptoms. No differences in associations between depression and unhealthy eating were found between European countries. CONCLUSION: Our results suggest that depression is related to more unhealthy eating styles. Diminishing unhealthy eating styles in subthreshold depressed persons could potentially reduce adverse health consequences like weight gain, unhealthy dietary patterns and weight-related diseases. It is also possible that interventions that decrease depressive symptoms can lead to a decrease in unhealthy eating styles.

Which biopsychosocial variables contribute to more weight gain in depressed persons?

Depression appears to be associated with weight gain. Little is known about whether this association is independent of, or partly due to, several biopsychosocial variables. This study aims to investigate which biopsychosocial variables contribute to weight gain over a 4-year period in persons with major depressive disorder (MDD) or high depressive symptoms. Data from 1658 adults who participated in the Netherlands Study of Depression and Anxiety were used. Baseline depression was measured with a DSM-IV based psychiatric interview and with a depressive symptom measure. Four year weight gain was classified as stable weight (within 5% gain or loss) versus weight gain (>5% gain). Twenty-one baseline psychological, lifestyle and biological variables and antidepressant use were considered as potential contributing variables. In sociodemographic adjusted models, MDD and depressive symptoms were associated with subsequent weight gain. None of the biopsychosocial variables or antidepressants was associated with weight gain, thus did not contribute to the observed increased weight gain risk in depression, except for alcohol intake and TCA use. Future research should explore other potential factors that may be responsible for the increased risk for subsequent weight gain in depression, e.g. unhealthy dietary patterns or eating styles, or underlying intrinsic factors such as genetics.

The association between personality traits, cognitive reactivity and body mass index is dependent on depressive and/or anxiety status.

OBJECTIVE: A range of biological, social and psychological factors, including depression and anxiety disorders, is thought to be associated with higher body mass index (BMI). Depression and anxiety disorders are associated with specific psychological vulnerabilities, like personality traits and cognitive reactivity, that may also be associated with BMI. The relationship between those psychological vulnerabilities and BMI is possibly different in people with and without depression and anxiety disorders. Therefore, we examined the relationship between personality traits, cognitive reactivity and severity of affective symptoms with BMI in people with and without depression and anxiety disorders. METHODS: Data from 1249 patients with current major depressive and/or anxiety disorder and 631 healthy controls were sourced from the Netherlands Study of Depression and Anxiety. Linear and logistic regression analyses were used to determine the associations between personality traits (neuroticism, extraversion, conscientiousness), cognitive reactivity (hopelessness, aggression, rumination, anxiety sensitivity), depression and anxiety symptoms with BMI classes (normal: 18.5-24.9, overweight: 25-29.9, and obese: ≥30kg/m(2)) and continuous BMI. Due to significant statistical interaction, analyses were stratified for healthy individuals and depressed/anxious patients. RESULTS: Personality traits were not consistently related to BMI. In patients, higher hopelessness and aggression reactivity and higher depression and anxiety symptoms were associated with higher BMI. In contrast, in healthy individuals lower scores on hopelessness, rumination, aggression reactivity and anxiety sensitivity were associated with higher BMI. CONCLUSION: These results suggest that, particularly in people with psychopathology, cognitive reactivity may contribute to obesity.

Coping and personality in older patients with bipolar disorder.

BACKGROUND: Little is known about coping styles and personality traits in older bipolar patients. Adult bipolar patients show a passive coping style and higher neuroticism scores compared to the general population. Our aim is to investigate personality traits and coping in older bipolar patients and the relationship between coping and personality. METHOD: 75 Older patients (age > 60) with bipolar I or II disorder in a euthymic mood completed the Utrecht Coping List and the NEO Personality Inventory FFI and were compared to normative data. RESULTS: Older bipolar patients show more passive coping styles compared to healthy elderly. Their personality traits are predominated by openness, in contrast conscientiousness and altruism are relatively sparse. Neuroticism was related to passive coping styles, whereas conscientiousness was related to an active coping style. CONCLUSIONS: Older bipolar patients have more passive coping styles. Their personality is characterized by openness and relatively low conscientiousness and altruism. Our sample represents a survival cohort; this may explain the differences in personality traits between older patients in this study and in adult bipolar patients in other studies. The association between coping styles and personality traits is comparable to reports of younger adult patients with bipolar disorder. Longitudinal studies are warranted to explore if coping and personality change with ageing in bipolar patients and to determine which coping style is most effective in preventing mood episodes.