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Background: Acceptance and Commitment Therapy (ACT) plays an important role in the treatment of patients with refractory Somatic Symptom Disorder and related disorders with complex problems and/or somatic or psychiatric comorbidity (complex SSD)., Aim: To gain insight into the possible role of (experiential) acceptance in improved quality of life during and after treatment., Method: Observational longitudinal study in 41 patients with complex SSD treated at Altrecht Psychosomatic Medicine Eikenboom. They completed online questionnaires around the start and completion of treatment and after six months of follow-up. Assessed were experiential acceptance (AAQ-II-NL) and three aspects of quality of life (RAND-36: mental health, physical functioning, general health perception). The associations between changes in acceptance and quality of life were determined., Results: Acceptance increased significantly from treatment initiation to follow-up. Mental health increased significantly between start and end of treatment, and general health perception increased significantly in the follow-up period. Physical functioning did not change. During treatment, an increase in acceptance was significantly associated with improvement in mental health and general health perception; during follow-up, an increase in acceptance was associated with an improvement in mental health., Conclusion: The current study demonstrates that an increase in experiential acceptance goes hand in hand with an improvement in mental health and general health perception. These results indicate the potential importance of acceptance-based treatment in patients with complex SSD. Experimental research with more frequent measurements is needed to test a temporal relationship between (first) increased acceptance and (then) improved quality of life.

Background: Patients with mental health disorders often have difficulty perceiving associations between multiple symptoms, such as inter-relations between somatic and psychological symptoms. This difficulty may be particularly challenging in patients with complex disorders. Individual dynamic network analysis may provide novel diagnostic and treatment possibilities because it can create a starting point for a personalized approach in complex cases in tertiary mental health care expert centres, where standard protocolized interventions were insufficiently effective., Aim: To explore the possibilities provided by dynamic network technologies in the care of patients in tertiary care expert centres., Method: Overview of these possibilities, with a focus on somatic symptom disorder., Results: Intensive longitudinal data can be obtained using a short and personalized questionnaire that is presented via a patient's smartphone a few times per day during several weeks. These data are then converted to patient-specific dynamic symptom networks using time series analysis. These networks display how variations over time in somatic and mental symptoms and other factors (such as specific situations) mutually influence each other in daily life. They also provide information about cause-effect associations., Conclusion: Dynamic symptom networks provide insight into the associations between symptoms and other factors and can be used to personalize treatment goals and interventions in tertiary care expert centres. Furthermore, these networks create opportunities to examine the (patient-tailored) effects of personalized interventions.

The main objective of the study is to determine if non-specific physical symptoms (NSPS) in people with self-declared sensitivity to radiofrequency electromagnetic fields (RF EMF) can be explained (across subjects) by exposure to RF EMF. Furthermore, we pioneered whether analysis at the individual level or at the group level may lead to different conclusions. By our knowledge, this is the first longitudinal study exploring the data at the individual level. A group of 57 participants was equipped with a measurement set for five consecutive days. The measurement set consisted of a body worn exposimeter measuring the radiofrequency electromagnetic field in twelve frequency bands used for communication, a GPS logger, and an electronic diary giving cues at random intervals within a two to three hour interval. At every cue, a questionnaire on the most important health complaint and nine NSPS had to be filled out. We analysed the (time-lagged) associations between RF-EMF exposure in the included frequency bands and the total number of NSPS and self-rated severity of the most important health complaint. The manifestation of NSPS was studied during two different time lags - 0-1 h, and 1-4 h - after exposure and for different exposure metrics of RF EMF. The exposure was characterised by exposure metrics describing the central tendency and the intermittency of the signal, i.e. the time-weighted average exposure, the time above an exposure level or the rate of change metric. At group level, there was no statistically significant and relevant (fixed effect) association between the measured personal exposure to RF EMF and NSPS. At individual level, after correction for multiple testing and confounding, we found significant within-person associations between WiFi (the self-declared most important source) exposure metrics and the total NSPS score and severity of the most important complaint in one participant. However, it cannot be ruled out that this association is explained by residual confounding due to imperfect control for location or activities. Therefore, the outcomes have to be regarded very prudently. The significant associations were found for the short and the long time lag, but not always concurrently, so both provide complementary information. We also conclude that analyses at the individual level can lead to different findings when compared to an analysis at group level., (Copyright © 2019 Elsevier Ltd. All rights reserved.)

Measurement error is omnipresent in psychological data. However, the vast majority of applications of autoregressive time series analyses in psychology do not take measurement error into account. Disregarding measurement error when it is present in the data results in a bias of the autoregressive parameters. We discuss two models that take measurement error into account: An autoregressive model with a white noise term (AR+WN), and an autoregressive moving average (ARMA) model. In a simulation study we compare the parameter recovery performance of these models, and compare this performance for both a Bayesian and frequentist approach. We find that overall, the AR+WN model performs better. Furthermore, we find that for realistic (i.e., small) sample sizes, psychological research would benefit from a Bayesian approach in fitting these models. Finally, we illustrate the effect of disregarding measurement error in an AR(1) model by means of an empirical application on mood data in women. We find that, depending on the person, approximately 30-50% of the total variance was due to measurement error, and that disregarding this measurement error results in a substantial underestimation of the autoregressive parameters.

Background: Although it is generally the severity of a patient's symptoms and impairments which determines the amount of care allocated to patients with somatoform disorders, comorbidity appears to be an additional relevant factor. A number of studies in different populations with somatoform disorders have shown that these disorders overlap with mood disorders, anxiety disorders, and personality disorders. So far, however, little is known about comorbidity in patients in tertiary care who are suffering from severe somatoform disorders., Aim: To determine comorbidity of mood, anxiety and personality disorders in patients in tertiary care suffering from severe somatoform disorders., Method: The study was based on a sample of 340 patients with dsm-iv-tr somatoform disorder who were awaiting treatment in a specialised care centre. The sample was examined by means of structured clinical assessment of dsm-iv-tr axis I and axis II disorders., Results: 49.4% of the 340 participants was diagnosed with a mood disorder, 62.1% with an anxiety disorder and 50.6% with a personality disorder., Conclusion: Patients in tertiary care suffering from (severe) somatic disorders show higher comorbidity of mood, anxiety and personality disorder than previously reported for somatoform disorder patients in primary and secondary care.

Background: Patients with severe somatoform disorder (in secondary and tertiary care) typically experience functional impairment associated with physical symptoms and mental distress. Although psychotherapy is the preferred treatment, its effectiveness remains to be demonstrated., Aims: To examine the effectiveness of psychotherapy for severe somatoform disorder in secondary and tertiary care compared with treatment as usual (TAU) but not waiting-list conditions., Method: Main inclusion criteria were presence of a somatoform disorder according to established diagnostic criteria and receiving psychotherapy for somatoform disorder in secondary and tertiary care. Both randomised and non-randomised trials were included. The evaluated outcome domains were physical symptoms, psychological symptoms (depression, anxiety, anger, general symptoms) and functional impairment (health, life satisfaction, interpersonal problems, maladaptive cognitions and behaviour)., Results: Ten randomised and six non-randomised trials were included, comprising 890 patients receiving psychotherapy and 548 patients receiving TAU. Psychotherapy was more effective than TAU for physical symptoms (d = 0.80 v. d = 0.31, P<0.05) and functional impairment (d = 0.45 v. d = 0.15, P<0.01), but not for psychological symptoms (d = 0.75 v. d = 0.51, P = 0.21). These effects were maintained at follow-up., Conclusions: Overall findings suggest that psychotherapy is effective in severe somatoform disorder. Future randomised controlled studies should examine specific interventions and mechanisms of change.

Introduction: Idiopathic Environmental Intolerance (IEI) attributed to electromagnetic fields (EMF) refers to self-reported sensitivity mainly characterised by the attribution of non-specific physical symptoms to low-level EMF exposure emitted from sources such as mobile phones. Scientific studies have not provided evidence for the existence of IEI-EMF, but these studies did not resemble the real-life situation or suffered from poor exposure characterisation and biased recall of health symptoms. To improve existing methods for the study of IEI-EMF, an Ecological Momentary Assessment (EMA) study is designed., Methods and Analysis: The study is an EMA study in which respondents carry personal exposure metres (exposimeters) that measure radiofrequency (RF) EMF, with frequent assessment of health symptoms and perceived EMF exposure through electronic diary registration during five consecutive days. Participants will be a selection from an epidemiological study who report to be sensitive to RF EMF. The exposimeters measure electric field strength in 12 frequency bands. Diary questions include the occurrence and severity of 10 non-specific physical symptoms, mood states and perceived exposure to (sources of) EMF. The relationship of actual and perceived EMF exposure and mood with non-specific physical symptoms will be analysed using multilevel regression analysis with time-shift models., Discussion: The study has several advantages over previous studies, including assessment of personal EMF exposure and non-specific physical symptoms by an ecological method with a minimised chance of recall bias. The within-person design reduces confounding by time-stable factors (eg, personal characteristics). In the conduct of the study and the analysis and interpretation of its outcomes, some methodological issues including a high participant burden, reactivity, compliance to the study protocol and the potential of chance findings due to multiple statistical testing will be accounted for and limited as much as possible.

Smartphones were used in an online Ecological Momentary Assessment (EMA) design to test prodromal functioning relative to the interictal state in migraine patients. Eighty-seven participants completed an electronic diary 4 times daily during 3-6 weeks to monitor their migraine attacks. Twice daily the diary additionally included 16 multi-answer questions covering physical symptoms (30 items), cognitive-affective functioning (25 items) and external factors (25 items). Eight clustered prodromal features were identified in the current study: sensory sensitivity, pain/stiffness, fatigue, cognitive functioning, positive affect, negative affect, effort spent and stressors encountered. Per feature, individual change scores with interictal control days--excluding 24-hour post-attack recovery--were computed for six 12-hour pre-attack time windows covering three prodromal days. Linear mixed model (fixed-effect) analysis established significant increases in sensory sensitivity, pain/stiffness and fatigue, and a tendency for increased negative affect, in the 12 hours prior to the attack. Positive affect and cognitive functioning were impaired both in the 25-36 hour and--more strongly--in the 12-hour time window before the attack. No effects were found for effort spent and stressors encountered. Exploratory (random effect) analysis revealed significant individual differences in the change scores in sensory sensitivity, pain/stiffness, fatigue and negative affect. It is concluded that the prodromal change in migraine--relative to interictal functioning--predominantly exists within the last 12 hours before attack onset. Individual diversity is large, however. Future research should zoom in to identify prodrome development within the 12 pre-attack hours as well as to isolate individual patterns.

Background: Slow breathing and heart coherence training are being offered increasingly as treatments for anxiety, depression and stress-related mental and somatic complaints. Both of these interventions are aimed at influencing (i.e. increasing or optimising) heart rate variability and the mechanism involved is described in terms such as heart coherence, resonance breathing and heart-brain communication., Aim: To find out whether treatment effects are indeed based on the optimisation of heart rate variability., Method: Our literature search focused on 1) the assumption that poor mental health is definitely linked to deviant heart rate variability, and 2) the assumption that optimising heart rate variability leads specifically to a reduction of complaints and symptoms., Results: There is insufficient evidence to support these two assumptions., Conclusion: Slow breathing and heart coherence training probably achieve their effects as a result of non-specific psychological mechanisms.

Background: The Internet can facilitate diary monitoring (experience sampling, ecological momentary assessment) and behavioral coaching. Online digital assistance (ODA) is a generic tool for mobile Web-based use, intended as an adjuvant to face-to-face or Internet-based cognitive behavioral treatment based. A current ODA application was designed to support home-based training of behavioral attack prevention in chronic migraine, focusing on the identification of attack precursors and the support of preventive health behaviour., Objective: The aim was to establish feasibility of the ODA approach in terms of technical problems and participant compliance, and ODA acceptability on the basis of ratings of user-friendliness, potential burden, and perceived support of the training for behavioral attack prevention in migraine., Methods: ODA combines mobile electronic diary monitoring with direct human online coaching of health behavior according to the information from the diary. The diary contains three parts covering the following: (1) migraine headache and medication use, (2) attack precursors, and (3) self-relaxation and other preventive behavior; in addition, menstruation (assessed in the evening diary) and disturbed sleep (assessed in the morning diary) is monitored. The pilot study consisted of two runs conducted with a total of five women with chronic migraine without aura. ODA was tested for 8.5 days (range 4-12 days) per participant. The first test run with three participants tested 4-5 diary prompts per day. The second run with another three participants (including one subject who participated in both runs) tested a reduced prompting scheme (2-3 prompts per day) and minor adaptations to the diary. Online coaching was executed twice daily on workdays., Results: ODA feasibility was established on the basis of acceptable data loss (1.2% due to the personal digital assistant; 5.6% due to failing Internet transmission) and good participant compliance (86.8% in the second run). Run 1 revealed some annoyance with the number of prompts per day. Overall ODA acceptability was evident by the positive participant responses concerning user-friendliness, absence of burden, and perceived support of migraine attack prevention. The software was adapted to further increase the flexibility of the application., Conclusions: ODA is feasible and well accepted. Tolerability is a sensitive issue, and the balance between benefit and burden must be considered with care. ODA offers a generic tool to combine mobile coaching with diary monitoring,independently of time and space. ODA effects on improvement of migraine remain to be established.