Sensitivity to seasonal changes in panic disorder patients

Physical Activity, Seasonal Sensitivity and Psychological Well-Being of People of Different Age Groups Living in Extreme Environments

Physical activity can prevent many organic and mental pathologies. For people living in extreme southern high-latitude environments, weather conditions can affect these activities, altering their psychological well-being and favoring the prevalence of seasonal sensitivity (SS). This study aims to determine the relationships between the practice of physical activity, seasonal sensitivity and well-being in people living in high southern latitudes. A cross-sectional study was conducted, using the Seasonal Pattern Assessment Questionnaire (SPAQ), applying a psychological well-being scale, and determining sports practice according to the recommendations of the World Health Organization (WHO) for the 370 male (n = 209; 55%) and female (n = 173; 45%) participants. The main results indicated that 194 people (52 ± 7.7 years) reported physical activity. High-intensity physical activity practitioners recorded a significantly lower proportion of SS. In terms of psychological well-being, an adverse effect was found between the Seasonal Score Index (SSI) and five subcategories of the Ryff well-being scale. In conclusion, those who perform high-intensity physical activity have a lower SS, and those who have a higher SS have a lower psychological well-being.

Seasonal affective disorder and non-seasonal affective disorders: results from the NESDA study

BACKGROUND

Seasonal affective disorder (SAD) is considered to be a subtype of depression.

AIMS

To compare the clinical picture of SAD to non-seasonal affective disorders (non-SADs).

METHOD

Diagnoses according to the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) were established in 2185 participants of the Netherlands Study of Depression and Anxiety. The Seasonal Pattern Assessment Questionnaire was administered to diagnose SAD. Symptoms of depression and anxiety were measured with the Inventory of Depressive Symptoms, the Beck Anxiety Inventory and the Fear Questionnaire.

RESULTS

Participants with SAD, participants with a lifetime bipolar disorder and participants with a lifetime comorbid anxiety and depressive disorder scored highest in terms of psychopathology in the past year. The seasonal distribution of major depressive episodes was not different for participants with or without SAD.

CONCLUSIONS

SAD may be a measure of severity of depression with a subjectively perceived worsening of symptoms in the winter months.

DECLARATION OF INTEREST

Y.M. has received research funding and served as a consultant for Royal Philips Electronics NV and The Litebook Company Ltd. W.A.N. has received grants from the Netherlands Organization for Health Research and Development, the European Union, the Stanley Medical Research Institute, Astra Zeneca, Eli Lilly, GlaxoSmithKline and Wyeth; has received honoraria/speaker's fees from Astra Zeneca, Pfizer, Servier and Wyeth; and has served in advisory boards for Astra Zeneca, Pfizer and Servier.

COPYRIGHT AND USAGE

© The Royal College of Psychiatrists 2017. This is an open access article distributed under the terms of the Creative Commons Non-Commercial, No Derivatives (CC BY-NC-ND) license.

A discussion of various aspects of panic disorder depending on presence or absence of agoraphobia

OBJECTIVE

The quality of life of individuals with panic disorder and agoraphobia can be improved by the alleviation of agoraphobia. In other words, examining panic disorder in terms of whether agoraphobia is present is crucial. The current study examined panic disorder from this perspective.

METHODS

Subjects were 253 patients who met the diagnostic criteria for panic disorder (lifetime) according to the Mini International Neuropsychiatric Interview (MINI). Of those patients, 179 had agoraphobia and 74 did not. Statistical analysis was used to examine gender differences in the presence (or absence) of agoraphobia, comorbidities, and the effects of the presence of agoraphobia (severity, assessment of depression, assessment of anxiety, and personality) in these patients.

RESULTS

Results indicated gender differences in the presence (or absence) of agoraphobia. Compared to patients without agoraphobia, significantly more patients with agoraphobia were female (p<.001), and had a higher prevalence of comorbidities. Patients with agoraphobia had a higher suicide risk (p<.05), more hypomanic episodes (current) (p<.05), and more frequent episodes of social phobia (p<.05). In addition, patients with agoraphobia had more severe panic disorder and a higher level of neuroticism, sensitivity to anxiety, and trait anxiety [PDSS-J, P&A, NEO-N: p<.01, ASI, STAI (Trait Anxiety): p<.05].

CONCLUSIONS

The current findings suggest that when treating a panic disorder, diagnosing the presence of agoraphobia is extremely important.

Weekly and holiday-related patterns of panic attacks in panic disorder: a population-based study

BACKGROUND

While chronobiological studies have reported seasonal variation in panic attacks (PA) episodes, information on the timing of PA by week-days may enable better understanding of the triggers of PA episodes and thereby provide pointers for suitable interventional approaches to minimize PA attacks. This study investigated weekly variation in potential PA admissions including associations with holidays using a population-based longitudinal, administrative claims-based dataset in an Asian population.

METHODS

This study used ambulatory care data from the "Longitudinal Health Insurance Database 2000. We identified 993 patients with panic disorder (PD), and they had 4228 emergency room (ER) admissions for potential PA in a 3-year period between 1 January 2009 and 31 December 2011. One-way analysis of variance (ANOVA) was used to examine associations between the potential PA admissions and holidays/weekend days/work-days of the week.

RESULTS

The daily mean number of potential PA admissions was 3.96 (standard deviation 2.05). One-way ANOVA showed significant differences in potential PA admissions by holiday and day of the week (p<0.001). Daily frequencies showed a trough on Wednesday-Thursday, followed by a sharp increase on Saturday and a peak on Sunday. Potential PA admissions were higher than the daily mean for the sample patients by 29.4% and 22.1%, respectively on Sundays and holidays. Furthermore, the weekly variations were similar for females and males, although females always had higher potential PA admissions on both weekdays and holidays than the males.

CONCLUSIONS

We found that potential PA admissions among persons with PD varied systematically by day of the week, with a significant peak on weekends and holidays.

Self-attributed seasonality of mood and behavior: a report from the Netherlands study of depression and anxiety

BACKGROUND

Seasonal changes in mood and behavior are considered to be common in the general population and in patients with psychiatric disorders. However, in several studies this seasonality could not be demonstrated. The present study examined self-attributed seasonality of depressive symptoms among patients with a lifetime diagnosis of a depressive disorder (D), an anxiety disorder (A), a comorbid depressive and anxiety disorder (DA), and healthy controls (HC).

METHODS

The CIDI was used to establish diagnoses according to DSM-IV criteria in 2,168 participants of the Netherlands Study of Depression and Anxiety (NESDA). The Seasonal Pattern Assessment Questionnaire (SPAQ) was administered to assess variation in mood and behavior.

RESULTS

Of the 2,168 participants 53.5% reported seasonality of mood. Highest percentages of low mood were seen in the winter months. Although all groups showed this pattern of lowered mood during the winter months, D, A, and DA were significantly (P < .001) more likely to experience seasonality is this respect. This was also shown for seasonal changes in energy, social activities, sleeping, eating, weight and for the Global Seasonality Score. A limitation of this study was the cross-sectional design.

CONCLUSIONS

Seasonal variation in mood and behavior was demonstrated for both participants with a lifetime diagnosis of depression and/or anxiety disorder and for healthy controls, but patients with anxiety and/or depression were more likely to experience this seasonal variation. Clinicians should take into account that the time of the year could influence the feelings of well- and ill-being of their patients.

Seasonal patterns of abdominal pain consultations among adults and children

BACKGROUND AND AIM

Consultations for chronic abdominal pain are frequent in adults and children. A seasonal pattern of abdominal pain consultations with winter predominance was shown in previous pediatric studies; however, no studies have investigated whether such a pattern exists in adult patients. Understanding the differences in seasonal patterns of abdominal pain consultations among adults and children may indicate that either different mechanisms exist for common chronic pain conditions or triggering factors may vary by age. The aim of the study was to investigate whether a seasonal variation in abdominal pain consultation patterns exists among adults and children.

METHODS

The number of outpatient consultations among children (5-17 years) and adults (18 years or older) with a diagnosis of abdominal pain of nonspecified origin (International Classification of Diseases-9 code 789.0) from May 2000 to December 2008 was identified in an administrative claims database. The primary outcome measure was the rate of abdominal pain consultations (total number of abdominal pain consultations/total number of distinct patients by month×1000) by season in children and adults. Seasons were defined as follows: winter (December-February), spring (March-May), summer (June-August), and fall (September-November). A trend test was conducted to determine the degree of linearity in the patterns between the 2 groups. Among children, subanalyses by age 5 to 11 years and 12 to 17 years and sex were conducted.

RESULTS

A total of 172.4 million distinct patients (13.4% children, 87.6% adults) were identified in the database between May 2000 and December 2008. During the same time period, 15.6 million patient consultations for abdominal pain were identified (10.1% children, 89.9% adults). Children demonstrated a seasonal pattern in abdominal pain consultations, which best fit a quadratic regression curve, with consultations less common during the summer months. Abdominal pain consultations in adults were linear with no seasonal predominance. The trend in seasonal variation of abdominal pain consultations among children stratified by age and sex remained consistent with the overall child population.

CONCLUSIONS

Abdominal pain consultations in children are less common during summer months, whereas no evidence of seasonal pattern of consultation was found in adults. Factors involved in the pathogenesis of abdominal pain in adults and children may differ.

Seasonal variation in the presentation of abdominal pain

BACKGROUND

Anxiety and depression, conditions frequently associated with childhood chronic abdominal pain (AP), are characterized by seasonal exacerbations. A seasonal pattern characterized by a higher frequency of consultations for AP during winter has been suspected but has never, to our knowledge, been demonstrated. We hypothesize the presence of a seasonal variation in AP consultations with a winter predominance.

AIMS

To determine the seasonal distribution of AP consultations among centers across time and geographic latitude.

PATIENTS AND METHODS

This was a retrospective cohort study. The number of outpatient consultations from primary care clinics and every pediatric specialty clinic that resulted in a diagnosis of AP and the total number of outpatient consultations (2001-2004) from 6 tertiary care institutions (Chicago, Pittsburgh, Wilmington, Pensacola, Orlando, Jacksonville) was determined. Rates of consultations were compared across time and between cities. Four time periods of interest, with 2- and 3-month definitions, were arbitrarily selected. Seasonal rates across time were compared separately for each of the 2-month (January-February vs June-July) and 3-month periods (January-March vs June-August). Logistic regression models for each city were used to determine variations in the rate of outpatient AP cases by season or by year.

RESULTS

A total of 3,929,522 outpatient consultations and 73,591 AP consultations were analyzed. The rates of AP consultations were consistently higher in the winter months at all of the sites. The results differed between sites at northern and southern latitudes.

CONCLUSIONS

There seems to be a seasonal variation in consultation patterns for AP at the tertiary care level. A possible role of daylight hours, climate, latitude, and stress is proposed.