Functioning before and after a major depressive episode: pre-existing vulnerability or scar? A prospective three-wave population-based study.

BACKGROUND: The vulnerability hypothesis suggests that impairments after remission of depressive episodes reflect a pre-existing vulnerability, while the scar hypothesis proposes that depression leaves residual impairments that confer risk of subsequent episodes. We prospectively examined vulnerability and scar effects in mental and physical functioning in a representative Dutch population sample. METHODS: Three waves were used from the Netherlands Mental Health Survey and Incidence Study-2, a population-based study with a 6-years follow-up. Mental and physical functioning were assessed with the Medical Outcomes Study Short Form (SF-36). Major depressive disorder (MDD) was assessed with the Composite International Diagnostic Interview 3.0. Vulnerability effects were examined by comparing healthy controls (n = 2826) with individuals who developed a first-onset depressive episode during first follow-up but did not have a lifetime diagnosis of MDD at baseline (n = 181). Scarring effects were examined by comparing pre- and post-morbid functioning in individuals who developed a depressive episode after baseline that was remitted at the third wave (n = 108). RESULTS: Both mental (B = -5.4, s.e. = 0.9, p < 0.001) and physical functioning (B = -8.2, s.e. = 1.1, p < 0.001) at baseline were lower in individuals who developed a first depressive episode after baseline compared with healthy controls. This effect was most pronounced in people who developed a severe episode. No firm evidence of scarring in mental or physical functioning was found. In unadjusted analyses, physical functioning was still lowered post-morbidly (B = -5.1, s.e. = 2.1, p = 0.014), but this effect disappeared in adjusted analyses. CONCLUSIONS: Functional impairments after remission of depression seem to reflect a pre-existing vulnerability rather than a scar.

[The bidirectional relationship between physical activity and sleep in depressed versus non-depressed individuals]. / De bidirectionele relatie tussen beweging en slaap bij personen met en zonder depressie1.

BACKGROUND: Sleep and physical activity are related, but the direction of this relationship is unclear and it is not known whether the direction differs in depressed and non-depressed persons. AIM: To study the bidirectional relationship between physical activity and sleep in daily life by making repeated measurements in depressed and non-depressed people. METHOD: Every day for 30 consecutive days each depressed (N = 27) and non-depressed (N = 27) participant in our study had to complete an electronic questionnaire relating to subjective sleep quality and sleep duration and were required to wear an accelerometer that recorded physical activity. RESULTS: Multi-level analysis showed that an increase in subjective sleep duration resulted in a decrease in physical activity. The differences between individuals with regard to the direction and strength of this relationship were significant. Changes in physical activity did not predict changes in sleep quality or sleep duration. We did not find any differences in the relationships for depressed and non-depressed participants. CONCLUSION: Change in sleep duration predicts change in physical activity, although there was significant heterogeneity in the results for individuals. Our findings underline the importance of further research and of the development of interventions that are tailored to the precise needs of the individual patient.

Stressful life events and leukocyte telomere attrition in adulthood: a prospective population-based cohort study.

BACKGROUND: Telomere attrition might be one of the mechanisms through which psychosocial stress leads to somatic disease. To date it is unknown if exposure to adverse life events in adulthood is associated with telomere shortening prospectively. In the current study we investigated whether life events are associated with shortening of telomere length (TL). METHOD: Participants were 1094 adults (mean age 53.1, range 33-79 years) from the PREVEND cohort. Data were collected at baseline (T1) and at two follow-up visits after 4 years (T2) and 6 years (T3). Life events were assessed with an adjusted version of the List of Threatening Events (LTE). TL was measured by monochrome multiplex quantitative PCR at T1, T2, and T3. A linear mixed model was used to assess the effect of recent life events on TL prospectively. Multivariable regression analyses were performed to assess whether the lifetime life events score or the score of life events experienced before the age of 12 predicted TL cross-sectionally. All final models were adjusted for age, sex, body mass index, presence of chronic diseases, frequency of sports, smoking status, and level of education. RESULTS: Recent life events significantly predicted telomere attrition prospectively (B = -0.031, p = 0.007). We were not able to demonstrate a significant cross-sectional relationship between the lifetime LTE score and TL. Nor did we find exposure to adverse life events before the age of 12 to be associated with TL in adulthood. CONCLUSIONS: Exposure to recent adverse life events in adulthood is associated with telomere attrition prospectively.

Adjusted prognostic association of depression following myocardial infarction with mortality and cardiovascular events: individual patient data meta-analysis.

BACKGROUND: The association between depression after myocardial infarction and increased risk of mortality and cardiac morbidity may be due to cardiac disease severity. AIMS: To combine original data from studies on the association between post-infarction depression and prognosis into one database, and to investigate to what extent such depression predicts prognosis independently of disease severity. METHOD: An individual patient data meta-analysis of studies was conducted using multilevel, multivariable Cox regression analyses. RESULTS: Sixteen studies participated, creating a database of 10 175 post-infarction cases. Hazard ratios for post-infarction depression were 1.32 (95% CI 1.26-1.38, P<0.001) for all-cause mortality and 1.19 (95% CI 1.14-1.24, P<0.001) for cardiovascular events. Hazard ratios adjusted for disease severity were attenuated by 28% and 25% respectively. CONCLUSIONS: The association between depression following myocardial infarction and prognosis is attenuated after adjustment for cardiac disease severity. Still, depression remains independently associated with prognosis, with a 22% increased risk of all-cause mortality and a 13% increased risk of cardiovascular events per standard deviation in depression z-score.

Validation of the Long-term Difficulties Inventory (LDI) and the List of Threatening Experiences (LTE) as measures of stress in epidemiological population-based cohort studies.

BACKGROUND: Stress questionnaires are included in many epidemiological cohort studies but the psychometric characteristics of these questionnaires are largely unknown. The aim of this study was to describe these characteristics for two short questionnaires measuring the lifetime and past year occurrence of stress: the List of Threatening Events (LTE) as a measure of acute stress and the Long-term Difficulties Inventory (LDI) as a measure of chronic stress. METHOD: This study was performed in a general population cohort consisting of 588 females (53.7%) and 506 males (46.3%), with a mean age of 53.5 years (s.d.=11.3 years). Respondents completed the LTE and the LDI for the past year, and for the age categories of 0-12, 13-18, 19-39, 40-60, and >60 years. They also completed questionnaires on perceived stress, psychological distress (the General Health Questionnaire, GHQ-12), anxiety and depression (the Symptom Checklist, SCL-8) and neuroticism (the Eysenck Personality Questionnaire - Revised Short Scale, EPQ-RSS-N). Approximately 2 years later, 976 respondents (89%) completed these questionnaires for a second time. RESULTS: The stability of the retrospective reporting of long-term difficulties and life events was satisfactory: 0.7 for the lifetime LDI and 0.6 for the lifetime LTE scores. The construct validity of these lists is indicated by their positive associations with psychological distress, mental health problems and neuroticism. CONCLUSIONS: This study in a large population-based sample shows that the LDI and LTE have sufficient validity and stability to include them in major epidemiological cohort studies.

Exploring temporal relationships among worrying, anxiety, and somatic symptoms.

OBJECTIVES: The role of anxiety symptoms in the development of functional somatic symptoms (FSS) is unknown. Somatic symptoms may be triggered by or give rise to anxiety symptoms. This study aimed to 1) explore interrelationships among within-day worrying, feeling anxious, and somatic symptoms, and 2) investigate the association between these interrelationships and overall level of FSS. METHODS: This study included 767 participants (83% females, mean age 39 years), who were recruited through an online crowdsourcing study in the Dutch general population. Somatic, and anxiety symptoms were reported thrice daily (6-h intervals) for 30 days using electronic diaries. FSS were assessed at baseline (PHQ-15). Temporal relationships among worrying, feeling anxious, and somatic symptoms were modeled using a multilevel vector autoregressive model. RESULTS: We observed large heterogeneity in the within-person interrelationships among worrying, feeling anxious and somatic symptoms. Averaged over participants, higher-than-usual somatic symptoms were associated with increases in levels of worrying six hours later (B = 0.017, 95% CI [0.006, 0.027]). At the between-person level, FSS levels predicted the persistence of feeling anxious (B = 0.230 95% CI [0.105, 0.350]) and the carry-over of worrying to feeling anxious over six-hours (B = 0.159, 95% CI [0.031, 0.283]). CONCLUSIONS: In contrast to what we expected, higher levels of somatic symptoms over multiple weeks were associated with the persistence and carry-over of within-day anxiety-related symptoms. One within-person association between psychological and somatic symptoms during the day was observed, suggesting that, over a time span of 6-h, anxiety symptoms relate to somatic symptoms only in a minority of people from the general population.

[The efficacy of the systems training for emotional predictability and problem solving (STEPPS) in the treatment of borderline personality disorder. A randomized controlled trial]. / De effectiviteit van de vaardigheidstraining emotieregulatiestoornis (VERS) in de behandeling van de borderlinepersoonlijkheidsstoornis; een gerandomiseerd onderzoek.

BACKGROUND: The types of treatment for borderline personality disorder devised over the last few decades are often difficult to implement in therapy centres. stepps is a group treatment for this disorder which is easy to implement. AIM: To compare the efficacy of stepps supported by limited individual treatment with 'treatment as usual' (tau). METHOD: 79 patients with bpd were randomly assigned to stepps or to tau. Measurements were taken before and after the intervention and at one-year follow-up. Outcome measures were: borderline and general psychiatric symptomatology, suicide attempts, quality of life and use of care services. results stepps led to a larger reduction in symptoms than did tau, the difference being still significant at follow-up. 70% of patients treated with stepps showed improvement compared to 47% of patients treated with tau. In both treatment groups the percentage of patients who recovered was small. There was no difference in the number of suicide attempts in each group. stepps led to a greater improvement in quality of life than did tau, particularly at follow-up. Care service use seemed about equal. CONCLUSION: The efficacy of treatment for bpd can be improved by the introduction of stepps, which is relatively simple to implement.

Subtyping psychological distress in the population: a semi-parametric network approach.

AIMS: The mechanisms underlying both depressive and anxiety disorders remain poorly understood. One of the reasons for this is the lack of a valid, evidence-based system to classify persons into specific subtypes based on their depressive and/or anxiety symptomatology. In order to do this without a priori assumptions, non-parametric statistical methods seem the optimal choice. Moreover, to define subtypes according to their symptom profiles and inter-relations between symptoms, network models may be very useful. This study aimed to evaluate the potential usefulness of this approach. METHODS: A large community sample from the Canadian general population (N = 254 443) was divided into data-driven clusters using non-parametric k-means clustering. Participants were clustered according to their (co)variation around the grand mean on each item of the Kessler Psychological Distress Scale (K10). Next, to evaluate cluster differences, semi-parametric network models were fitted in each cluster and node centrality indices and network density measures were compared. RESULTS: A five-cluster model was obtained from the cluster analyses. Network density varied across clusters, and was highest for the cluster of people with the lowest K10 severity ratings. In three cluster networks, depressive symptoms (e.g. feeling depressed, restless, hopeless) had the highest centrality. In the remaining two clusters, symptom networks were characterised by a higher prominence of somatic symptoms (e.g. restlessness, nervousness). CONCLUSION: Finding data-driven subtypes based on psychological distress using non-parametric methods can be a fruitful approach, yielding clusters of persons that differ in illness severity as well as in the structure and strengths of inter-symptom relationships.

The effects of occupational interventions on reduction of musculoskeletal symptoms in the nursing profession.

The objective of the review was to gain more insight into the effects of occupational interventions for primary prevention of musculoskeletal symptoms in healthcare workers. The Cochrane Collaboration methodological guidelines for systematic reviews functioned as a starting point. Thirteen studies meeting the inclusion criteria were analysed for methodological quality and effects. Eight outcome effect areas were established and defined as areas in which an effect had been determined in at least two studies. A method based on levels of scientific evidence was then used to synthesize the information available. Strong scientific evidence for the beneficial effect of occupational interventions was found for the outcome effect areas physical discomfort, technical performance of transfers and frequency of manual lifting. Insufficient evidence was found for the effect areas absenteeism due to musculoskeletal problems, musculoskeletal symptoms, fatigue, perceived physical load and knowledge of risk factors at work and ergonomic principles. Training and education combined with an ergonomic intervention were found to be effective.

Quantifying psychiatric comorbidity--lessions from chronic disease epidemiology.

BACKGROUND: Comorbidity research in psychiatric epidemiology mostly uses measures of association like odds or risk ratios to express how strongly disorders are linked. In contrast, chronic disease epidemiologists increasingly use measures of clustering, like multimorbidity (cluster) coefficients, to study comorbidity. This article compares measures of association and clustering. METHODS: Narrative review, algebraical examples, a secondary analysis of an existing dataset and a pooled analysis of published data. RESULTS: Odds and risk ratios, but the former more than the latter, confound clustering with coincidental comorbidity. Multimorbidity coefficients provide a pure estimate of clustering which is the proportion of the association between disorders that is of etiological interest. Odds and risk ratios can express comorbidity between no more than two disorders, whilst clustering coefficients, although computationally laboursome, can capture multimorbidity of any number of disorders. Cluster coefficients depend less on the prevalence of illness in study groups than measures of association. CONCLUSION: Odds and risk ratios are well suited for comorbidity research which focuses on which sets of disorders or syndromes tend to occur in combination and the implications of this for, for instance, nosological classification, a traditional interest of psychiatric epidemiology. However, the cluster coefficient is to be preferred if the interest is more aetiological, addressing for example why certain individuals are prone to multiple health problems.