Waist circumference and VO2max are associated with metabolic and hemostatic risk in premenopausal nurses

In 21 nurses (34.4+/-3.9 yr), VO2max, physical activity, body composition and lifestyle parameters were measured to determine which of these characteristics are related to metabolic and hemostatic risk for cardiovascular disease. Physical activity was assessed with the 7-day recall interview VO2max was measured in a progressive and continuous treadmill test to volitional fatigue. Fasting insulin, total cholesterol, HDL-C, triglycerides, fibrinogen, tPA-act, tPA-ag, and PAI-1-ag were determined from fasting blood samples. Contrary to our expectation, there was no association of physical activity with any of these risk indicators. High VO2max was associated with lower levels of insulin and fibrinogen. Regression analyses indicated that metabolic and hemostatic risk indicators, as measured in healthy premenopausal nurses, were mainly predicted by waist circumference and oral contraceptive use

Single-Subject Research in Psychiatry:Facts and Fictions

Scientific evidence in the field of psychiatry is mainly derived from group-based ("nomothetic") studies that yield group-aggregated results, while often the need is to answer questions that apply to individuals. Particularly in the presence of great inter-individual differences and temporal complexities, information at the individual-person level may be valuable for personalized treatment decisions, individual predictions and diagnostics. The single-subject study design can be used to make inferences about individual persons. Yet, the single-subject study is not often used in the field of psychiatry. We believe that this is because of a lack of awareness of its value rather than a lack of usefulness or feasibility. In the present paper, we aimed to resolve some common misconceptions and beliefs about single-subject studies by discussing some commonly heard "facts and fictions." We also discuss some situations in which the single-subject study is more or less appropriate, and the potential of combining single-subject and group-based study designs into one study. While not intending to plea for single-subject studies at the expense of group-based studies, we hope to increase awareness of the value of single-subject research by informing the reader about several aspects of this design, resolving misunderstanding, and providing references for further reading

Fluctuations of prolonged grief disorder reactions in the daily life of bereaved people:An experience sampling study

IntroductionLoss-adaptation has been described as being characterized by ‘waves of grief’, whichmay result in a Prolonged Grief Disorder (PGD). Although this assumption about thefluctuating nature of grief is supported by theoretical work, it is not (yet) supported byempirical work. We are the first to explore to what extent PGD reactions fluctuate ineveryday life and whether fluctuations in PGD reactions are related to overall PGDlevels using experience sampling methodology (ESM).MethodsData from 38 bereaved individuals (74% women, on average 6 years post-loss, 47%lost a parent) were analyzed. For two weeks, five times per day, participants reportedon the severity of 11 PGD reactions in the past three hours (ESM-PGD). At baseline,overall PGD severity (B-PGD) in the past two weeks was assessed with telephone interviews using the Traumatic Grief Inventory–Clinician Administered. Root MeanSquare of Successive Differences (RMSSD) were calculated to reflect fluctuations inESM-PGD. Spearman correlations between RMSSD values of the 11 ESM-PGDreactions and B-PGD scores were computed.ResultsMean B-PGD scores were below the clinical cut-off. Some fluctuations in ESM-PGDreactions were found, as indicated by varying RMSSD values, but also floor effectswere detected. B-PGD levels were related to RMSSD values for ESM-PGD (ρ between.37 and .68, all p < .05; and between .36 and .63 after removal of floor effects).DiscussionWe found that (some) ESM-PGD reactions fluctuated in everyday life. This may offernew theoretical insights into loss-adaptation, which may result in optimizing PGDtreatment

Overnight affective dynamics and sleep characteristics as predictors of depression and its development

INTRODUCTION: Greater affective inertia during the day (higher carry-over effects of prior affect to the current moment) is associated with depression and its development. However, the role of overnight affective inertia (from evening to morning) in depression, and the role of sleep therein, has been scarcely studied. OBJECTIVES: We examined i) the difference in overnight inertia for positive (PA) and negative affect (NA) between individuals with past depression, current depression, and no depression; ii) how sleep duration and quality influence overnight affective inertia in these groups, and iii) whether overnight affective inertia predicts depression development. METHODS: We used data of 579 women from the East-Flanders Prospective Twin Survey. First, individuals with past (n=82), current (n=26), and no depression (n=471) at baseline were examined, and then individuals who did (n=58) and did not (n=319) develop depression at 12-months follow-up. Affect was assessed 10 times a day for 5 days. Sleep was assessed with sleep diaries. Affective inertia was operationalized as the influence of affect(t-1) on affect(t). Linear mixed-effect models were used to test the hypotheses. RESULTS: Overnight affective inertia was not associated with depression, neither was it differently associated with sleep characteristics in the depression groups. However, sleep characteristics were more negatively associated with morning NA in both depression groups compared to the non-depressed group. Overnight affective inertia did not predict the development of depression at follow-up. CONCLUSIONS: Depression and sleep characteristics might be more related to mean affect levels rather than to more complex emotion dynamics measures. Replication of these findings with longer time-series is needed