Pain is a risk factor for common mental disorders. Results from the Netherlands Mental Health Survey and Incidence Study-2: a longitudinal, population-based study

Pain might be an important risk factor for common mental disorders. Insight into the longitudinal association between pain and common mental disorders in the general adult population could help improve prevention and treatment strategies. Data were used from the first 2 waves of the Netherlands Mental Health Survey and Incidence Study-2, a psychiatric epidemiological cohort study among the Dutch general population aged 18 to 64 years at baseline (N = 5303). Persons without a mental disorder 12 months before baseline were selected as the at-risk group (n = 4974 for any mood disorder; n = 4979 for any anxiety disorder; and n = 5073 for any substance use disorder). Pain severity and interference due to pain in the past month were measured at baseline using the Short Form Health Survey. DSM-IV mental disorders were assessed at both waves using the Composite International Diagnostic Interview version 3.0. Moderate to very severe pain was associated with a higher risk of mood (odds ratio [OR] = 2.10, 95% confidence interval [CI] = 1.33-3.29) or anxiety disorders (OR = 2.12, 95% CI = 1.27-3.55). Moderate to very severe interference due to pain was also associated with a higher risk of mood (OR = 2.14, 95% CI = 1.30-3.54) or anxiety disorders (OR = 1.92, 95% CI = 1.05-3.52). Pain was not significantly associated with substance use disorders. No interaction effects were found between pain severity or interference due to pain and a previous history of mental disorders. Moderate to severe pain and interference due to pain are strong risk factors for first-incident or recurrent mood and anxiety disorders, independent of other mental disorders. Pain management programs could therefore possibly also serve as a preventative program for mental disorders

Pain as a risk factor for suicidal ideation. A population-based longitudinal cohort study

Objective To examine the longitudinal association between pain and suicidal ideation in the general adult population. Method Data were used from two waves (baseline and three-year follow-up) of the Netherlands Mental Health Survey and Incidence Study-2. Persons without prior 12-month suicidal ideation at baseline were included in this study (N = 5242). Pain severity and interference due to pain in the past month were measured using the 36-item Short Form Health Survey. Suicidal ideation and DSM-IV mental disorders were assessed using the Composite International Diagnostic Interview. Logistic regression analyses were performed. Results Moderate to very severe pain (OR 3.39, p < .001) and moderate to very severe interference due to pain (OR 2.35, p .01) were associated with a higher risk for incident suicidal ideation at follow-up after adjustment for baseline sociodemographic variables and mental disorders. No interaction effects were found between pain severity or interference due to pain and mental disorders. Conclusion Moderate to severe pain and interference due to pain are risk factors for suicidal ideation independently of concomitant mental disorders. We suggest taking assessment and management of suicidal ideation in patients with pain into account both in clinical treatment as well as in suicide prevention action plans

Control and Characterization of Individual Grains and Grain Boundaries in Graphene Grown by Chemical Vapor Deposition

The strong interest in graphene has motivated the scalable production of high quality graphene and graphene devices. Since large-scale graphene films synthesized to date are typically polycrystalline, it is important to characterize and control grain boundaries, generally believed to degrade graphene quality. Here we study single-crystal graphene grains synthesized by ambient CVD on polycrystalline Cu, and show how individual boundaries between coalescing grains affect graphene's electronic properties. The graphene grains show no definite epitaxial relationship with the Cu substrate, and can cross Cu grain boundaries. The edges of these grains are found to be predominantly parallel to zigzag directions. We show that grain boundaries give a significant Raman "D" peak, impede electrical transport, and induce prominent weak localization indicative of intervalley scattering in graphene. Finally, we demonstrate an approach using pre-patterned growth seeds to control graphene nucleation, opening a route towards scalable fabrication of single-crystal graphene devices without grain boundaries.Comment: New version with additional data. Accepted by Nature Material

Effectiveness and cost-effectiveness of transmural collaborative care with consultation letter (TCCCL) and duloxetine for major depressive disorder (MDD) and (sub)chronic pain in collaboration with primary care: design of a randomized placebo-controlled multi-Centre trial: TCC:PAINDIP

__Abstract__ Background: The comorbidity of pain and depression is associated with high disease burden for patients in terms of disability, wellbeing, and use of medical care. Patients with major and minor depression often present themselves with pain to a general practitioner and recognition of depression in such cases is low, but evolving. Also, physical symptoms, including pain, in major depressive disorder, predict a poorer response to treatment. A multi-faceted, patient-tailored treatment programme, like collaborative care, is promising. However, treatment of chronic pain conditions in depressive patients has, so far, received limited attention in research. Cost effectiveness of an integrated approach of pain in depressed patients has not been studied. This article describes the aims and design of a study to evaluate effects and costs of collaborative care with the antidepressant duloxetine for patients with pain symptoms and a depressive disorder, compared to collaborative care with placebo and compared to duloxetine alone

Interaction for Immersive Analytics

International audienceIn this chapter, we briefly review the development of natural user interfaces and discuss their role in providing human-computer interaction that is immersive in various ways. Then we examine some opportunities for how these technologies might be used to better support data analysis tasks. Specifically, we review and suggest some interaction design guidelines for immersive analytics. We also review some hardware setups for data visualization that are already archetypal. Finally, we look at some emerging system designs that suggest future directions

The association of depression and anxiety with pain: a study from NESDA.

Chronic pain is commonly co-morbid with a depressive or anxiety disorder. Objective of this study is to examine the influence of depression, along with anxiety, on pain-related disability, pain intensity, and pain location in a large sample of adults with and without a depressive and/or anxiety disorder. The study population consisted of 2981 participants with a depressive, anxiety, co-morbid depressive and anxiety disorder, remitted disorder or no current disorder (controls). Severity of depressive and anxiety symptoms was also assessed. In separate multinomial regression analyses, the association of presence of depressive or anxiety disorders and symptom severity with the Chronic Pain Grade and location of pain was explored. Presence of a depressive (OR = 6.67; P<.001), anxiety (OR = 4.84; P<.001), or co-morbid depressive and anxiety disorder (OR = 30.26; P<.001) was associated with the Chronic Pain Grade. Moreover, symptom severity was associated with more disabling and severely limiting pain. Also, a remitted depressive or anxiety disorder showed more disabling and severely limiting pain (OR = 3.53; P<.001) as compared to controls. A current anxiety disorder (OR = 2.96; p<.001) and a co-morbid depressive and anxiety disorder (OR = 5.15; P<.001) were more strongly associated with cardio-respiratory pain, than gastro-intestinal or musculoskeletal pain. These findings remain after adjustment for chronic cardio respiratory illness. Patients with a current and remitted depressive and/or anxiety disorder and those with more severe symptoms have more disabling pain and pain of cardio-respiratory nature, than persons without a depressive or anxiety disorder. This warrants further research

Screening high-risk patients and assisting in diagnosing anxiety in primary care: the Patient Health Questionnaire evaluated.

BACKGROUND: Questionnaires may help in detecting and diagnosing anxiety disorders in primary care. However, since utility of these questionnaires in target populations is rarely studied, the Patient Health Questionnaire anxiety modules (PHQ) were evaluated for use as: a) a screener in high-risk patients, and/or b) a case finder for general practitioners (GPs) to assist in diagnosing anxiety disorders. METHODS: A cross-sectional analysis was performed in 43 primary care practices in the Netherlands. The added value of the PHQ was assessed in two samples: 1) 170 patients at risk of anxiety disorders (or developing them) according to their electronic medical records (high-risk sample); 2) 141 patients identified as a possible ‘anxiety case’ by a GP (GP-identified sample). All patients completed the PHQ and were interviewed using the Mini International Neuropsychiatric interview to classify DSM-IV anxiety disorders. Psychometric properties were calculated, and a logistic regression analysis was performed to assess the diagnostic value of the PHQ. RESULTS: Using only the screening questions of the PHQ, the area under the curve was 83% in the high-risk sample. In GP-identified patients the official algorithm showed the best characteristics with an area under the curve of 77%. Positive screening questions significantly increased the odds of an anxiety disorder diagnosis in high-risk patients (odds ratio = 23.4; 95% confidence interval 6.9 to 78.8) as did a positive algorithm in GP-identified patients (odds ratio = 13.9; 95% confidence interval 3.8 to 50.6). CONCLUSIONS: The PHQ screening questions can be used to screen for anxiety disorders in high-risk primary care patients. In GP-identified patients, the benefit of the PHQ is less evident

Baseline characteristics of total NESDA sample (N = 2981).

<p>*39 missing.</p><p>**35 missing.</p><p>Baseline characteristics of total NESDA sample (N = 2981).</p

Associations of presence of current depressive disorder, current anxiety disorder, current co-morbid depression and anxiety and remitted depression or anxiety with the Chronic Pain Grade, with no depression and/or anxiety disorder as a reference category.

<p>*p<.05;</p><p>**p<.001.</p>a<p>reference category is no pain.</p>b<p>adjusted for age, gender, level of education, partner status, antidepressant use, use of other psychotropic drugs, chronic diseases, and number of depressive episodes.</p><p>Associations of presence of current depressive disorder, current anxiety disorder, current co-morbid depression and anxiety and remitted depression or anxiety with the Chronic Pain Grade, with no depression and/or anxiety disorder as a reference category.</p