Epidemiological findings of seasonal changes in mood and behavior. A telephone survey of Montgomery County, Maryland

World Federation of Societies of Biological Psychiatry (WFSBP) guidelines for biological treatment of unipolar depressive disorders, part 1: update 2013 on the acute and continuation treatment of unipolar depressive disorders

OBJECTIVES

This 2013 update of the practice guidelines for the biological treatment of unipolar depressive disorders was developed by an international Task Force of the World Federation of Societies of Biological Psychiatry (WFSBP). The goal has been to systematically review all available evidence pertaining to the treatment of unipolar depressive disorders, and to produce a series of practice recommendations that are clinically and scientifically meaningful based on the available evidence. The guidelines are intended for use by all physicians seeing and treating patients with these conditions.

METHODS

The 2013 update was conducted by a systematic update literature search and appraisal. All recommendations were approved by the Guidelines Task Force.

RESULTS

This first part of the guidelines (Part 1) covers disease definition, classification, epidemiology, and course of unipolar depressive disorders, as well as the management of the acute and continuation phase treatment. It is primarily concerned with the biological treatment (including antidepressants, other psychopharmacological medications, electroconvulsive therapy, light therapy, adjunctive and novel therapeutic strategies) of adults.

CONCLUSIONS

To date, there is a variety of evidence-based antidepressant treatment options available. Nevertheless there is still a substantial proportion of patients not achieving full remission. In addition, somatic and psychiatric comorbidities and other special circumstances need to be more thoroughly investigated. Therefore, further high-quality informative randomized controlled trials are urgently needed.

Seasonality of mood and behavior in the Old Order Amish

BACKGROUND/OBJECTIVE

We examined seasonality and winter seasonal affective disorder (SAD) in the Old Order Amish of Lancaster County, Pennsylvania, a unique population that prohibits use of network electric light in their homes.

METHODS

We estimated SAD using the seasonal pattern assessment questionnaire (SPAQ) in 1306 Amish adults and compared the frequencies of SAD and total SAD (i.e., presence of either SAD or subsyndromal-SAD) between men and women, young and old, and awareness of (ever vs. never heard about) SAD. Heritability of global seasonality score (GSS) was estimated using the maximum likelihood method, including a household effect to capture shared environmental effects.

RESULTS

The mean (±SD) GSS was 4.36 (±3.38). Prevalence was 0.84% (95% CI: 0.36-1.58) for SAD and 2.59% (95% CI: 1.69-3.73) for total SAD. Heritability of GSS was 0.14±0.06 (SE) (p=0.002) after adjusting for age, gender, and household effects.

LIMITATIONS

Limitations include likely overestimation of the rates of SAD by SPAQ, possible selection bias and recall bias, and limited generalizability of the study.

CONCLUSIONS

In the Amish, GSS and SAD prevalence were lower than observed in earlier SPAQ-based studies in other predominantly Caucasian populations. Low heritability of SAD suggests dominant environmental effects. The effects of awareness, age and gender on SAD risk were similar as in previous studies. Identifying factors of resilience to SAD in the face of seasonal changes in the Amish could suggest novel preventative and therapeutic approaches to reduce the impact of SAD in the general population.

Bright light for weight loss: results of a controlled crossover trial

OBJECTIVE

To investigate whether bright light treatment can reduce body mass in overweight subjects irrespective of their seasonal (= light) dependence.

METHODS

A crossover, placebo-controlled, randomized clinical trial was performed between November and April in Novosibirsk, Russia (55° N). The trial comprised a 3-week in-home session of morning bright light treatment using a device of light-emitting diodes and a 3-week placebo session by means of a deactivated ion generator, separated by an off-protocol period of at least 23 days. The number of placebo and light sessions was matched with respect to season. Data were obtained from 34 overweight women, aged 20-54 years, 10 were seasonal-dependent according to the Seasonal Pattern Assessment Questionnaire. Weekly measures included body weight, percentage body fat by bioimpedancemetry, and subjective scores (appetite, mood, energy levels).

RESULTS

Motivation and expectation towards weight loss were similar for the two intervention sessions. With light, compared to the placebo session, weight did not reduce significantly, but percentage fat, fat mass, and appetite were significantly lower (average fat reduction 0.35 kg). The latter two results remained significant after excluding seasonal-dependent subjects from the analysis. Irrespective of the type of intervention, seasonal-dependent subjects had greater weight and fat mass changes during treatment (decline p < 0.036) or between sessions (regain p < 0.003). Photoperiod (p = 0.0041), air temperature to a lesser extent (p = 0.012), but not sunshine (p = 0.29) was associated with the weight change (greater weight reduction if the second session was in spring).

CONCLUSION

Morning bright light treatment reduces body fat and appetite in overweight women and may be included in weight control programs.

Seasonality patterns of mood and behavior in the Old Order Amish

BACKGROUND

Although humans have become partially isolated from physical seasonal environmental changes through artificial lighting and temperature control, seasonal changes in mood and behavior have been described across hemispheres, continents, ethnicities and occupations. The Old Order Amish are more exposed than the general population to environmental seasonal changes both occupationally as well as through their limited use of electric light in the winter and air conditioning in the summer; yet, their seasonal changes in mood and behavior have not been previously studied.

METHODS

The aim of this study was to analyze seasonal patterns in mood and behavior in the Old Order Amish of Lancaster County, Pennsylvania, who returned completed Seasonal Pattern Assessment Questionnaires (SPAQ). Monthly seasonal patterns were analyzed with repeated measures ANOVAs, followed by a post hoc t-test if significant. The χ² was used for presence or absence of seasonal patterns for each item.

RESULTS

More than 75% of the participants reported at least one seasonal change. More than 75 % endorsed seasonality in "feeling best" but only <25% did so for "feeling worst". Mood-wise, the best month was May, and the worst months were January and February.

CONCLUSIONS

There were significant seasonal patterns for all mood and behavior items reported by the majority of participants. The results were consistent with an overall winter pattern of seasonality previously consistently reported in predominantly Caucasian populations.

Are there any seasonal changes of cognitive impairment, depression, sleep disorders and quality of life in hemodialysis patients?

OBJECTIVE

Cognitive impairment, depression, sleep disorders and impaired quality of life are very common in hemodialysis (HD) patients. However, whether there are any seasonal changes of cognitive impairment, depression, sleep disorders and quality of life in HD patients is not known.

METHODS

The laboratory parameters, depressive symptoms, health-related quality of life, sleep quality (SQ) and cognitive function, were measured twice.

RESULTS

A total of 66 HD patients were enrolled. Pre-dialysis systolic blood pressure (BP) and pre-dialysis diastolic BP were higher, whereas predialysis creatinine and sodium were lower in January compared to July. Among domains of Short Form 36 (SF-36), physical functioning, role-physical limitation, general health perception, vitality, role emotional, Physical Component Summary Score (PCS) were higher, whereas Beck Depression Inventory (BDI) score was lower in July compared to January. Stepwise linear regression analysis revealed that only change in albumin and smoking status were related with seasonal change of BDI scores. Additionally only change in Mental Component Summary score of SF-36 were related with change in PCS score of SF-36 scores.

CONCLUSIONS

Depressive symptoms and quality of life but not SQ and cognitive function showed seasonal variability in HD patients.

Test-retest reliability of the Seasonal Pattern Assessment Questionnaire in Old Order Amish

BACKGROUND

Research on test-retest reliability of the Season Pattern Assessment Questionnaire (SPAQ) is sparse, and to date, has not been done with subgroups such as the Old Order Amish.

METHODS

We examined the test-retest reliability of the SPAQ in a sample of Old Order Amish. A total of 68 Old Order Amish participants completed the SPAQ twice, with 4 months between administrations. Quantitative data analyses were carried out to determine respective strengths of test-restest reliability for two variables [i.e., Global Seasonality Score (GSS), and Problem Rating Score (PRS)].

RESULTS AND CONCLUSIONS

Results revealed the test-retest reliability of the SPAQ in this population to be strong within the respective variables (GSS, α= 0.87; and PRS, α= 0.79) using Cronbach's alpha.

Neurochemical imaging and depressive behaviours

Neurochemical imaging is frequently applied to measure markers of pathological change so as to understand mechanisms that create symptoms of major depressive disorder. For example, indices of greater monoamine oxidase A(MAO-A) level, particularly in the prefrontal and anterior cingulate cortex, are associated with depressed mood states, and high-risk states for onset of major depressive episodes. MAO-A metabolises monoamines, and greater metabolism of monoamines occurs when MAO-A is elevated in brain. Lower extracellular serotonin is associated with greater pessimism in humans and chronic serotonin deficiency is associated with upregulation of 5-HT2A (serotonin2A) receptors in cortex. During major depressive episodes when pessimism is more severe, greater 5-HT2A BPND, an index of density occurs in prefrontal and anterior cingulate cortex. These results argue for a mechanism of lowering extracellular serotonin in the prefrontal and anterior cingulate cortex, consequent to elevated MAO-A level. The relationship between elevated 5-HTT BPND and greater pessimism during major depressive episodes suggests that greater 5-HTT density in the context of elevated MAO-A level further contributes to serotonin deficiency in these brain regions. A similar mechanism may explain the association between neuroimaging indices of greater dorsal striatal D2 density, DAT density and symptoms of motor retardation: Greater MAO-A level and relatively greater DAT density lower extracellular dopamine in the dorsal striatum, leading to motor retardation. Indices of greater 5-HT1A density, particularly in the cingulate cortex, have been associated with major depressive disorder, and well as anxiety disorders, suggesting that this abnormality is mechanistically related to presence of anxiety symptoms. To date, abnormalities of Glx a measure reflecting glutamate and glutamine levels have been most strongly associated with presence of major depressive episodes, with greater levels in occipital cortex, and reduced levels in prefrontal cortex. Ultimately, the future for neurochemical imaging is to better understand the mechanisms that predispose toward onset of MDE so as to create biologically informed, novel, methods of prevention, and superior, more symptom-targeted treatments.

Melanopsin, photosensitive ganglion cells, and seasonal affective disorder

In two recent reports, melanopsin gene variations were associated with seasonal affective disorder (SAD), and in changes in the timing of sleep and activity in healthy individuals. New studies have deepened our understanding of the retinohypothalamic tract, which translates environmental light received by the retina into neural signals sent to a set of nonvisual nuclei in the brain that are responsible for functions other than sight including circadian, neuroendocrine and neurobehavioral regulation. Because this pathway mediates seasonal changes in physiology, behavior, and mood, individual variations in the pathway may explain why approximately 1-2% of the North American population develops mood disorders with a seasonal pattern (i.e., Major Depressive and Bipolar Disorders with a seasonal pattern, also known as seasonal affective disorder/SAD). Components of depression including mood changes, sleep patterns, appetite, and cognitive performance can be affected by the biological and behavioral responses to light. Specifically, variations in the gene sequence for the retinal photopigment, melanopsin, may be responsible for significant increased risk for mood disorders with a seasonal pattern, and may do so by leading to changes in activity and sleep timing in winter. The retinal sensitivity of SAD is hypothesized to be decreased compared to controls, and that further decrements in winter light levels may combine to trigger depression in winter. Here we outline steps for new research to address the possible role of melanopsin in seasonal affective disorder including chromatic pupillometry designed to measure the sensitivity of melanopsin containing retinal ganglion cells.

Serum BDNF concentrations show strong seasonal variation and correlations with the amount of ambient sunlight

Earlier findings show seasonality in processes and behaviors such as brain plasticity and depression that in part are regulated by Brain-Derived Neurotrophic Factor (BDNF). Based on this we investigated seasonal variation in serum BDNF concentrations in 2,851 persons who took part in the Netherlands Study of Depression and Anxiety (NESDA). Analyses by month of sampling (monthly n's >196) showed pronounced seasonal variation in serum BDNF concentrations (P<.0001) with increasing concentrations in the spring-summer period (standardized regression weight (ß) = 0.19, P<.0001) and decreasing concentrations in the autumn-winter period (ß = -0.17, P<.0001). Effect sizes [Cohen's d] ranged from 0.27 to 0.66 for monthly significant differences. We found similar seasonal variation for both sexes and for persons with a DSM-IV depression diagnosis and healthy control subjects. In explorative analyses we found that the number of sunshine hours (a major trigger to entrain seasonality) in the week of blood withdrawal and the 10 weeks prior to this event positively correlated with serum BDNF concentrations (Pearson's correlation coefficients ranged: 0.05-0.18) and this could partly explain the observed monthly variation. These results provide strong evidence that serum BDNF concentrations systematically vary over the year. This finding is important for our understanding of those factors that regulate BDNF expression and may provide novel avenues to understand seasonal dependent changes in behavior and illness such as depression. Finally, the findings reported here should be taken into account when designing and interpreting studies on BDNF.

Treatment of seasonal affective disorders

Seasonal affective disorder (SAD) is a subform of major depressive disorder, recurrent, or bipolar disorder with a regular onset of depressive episodes at a certain time of year, usually the winter. The treatment of SAD is similar to that of other forms of affective disorder, except that bright light therapy is recommended as the first-line option. Light therapy conventionally involves exposure to visible light of at least 2500 lux intensity at eye level. The effects of light therapy are thought to be mediated exclusively by the eyes, not the skin, although this assumption has not yet been verified. Morning light therapy has proven to be superior to treatment regimens in the evening. Response rates to light therapy are about 80% in selected patient populations, with atypical depressive symptoms being the best predictor of a favorable treatment outcome. Data from randomized, controlled trials suggest that antidepressants are effective in the treatment of SAD. Three double-blind, placebo-controlled trials have been conducted showing promising results for the selective serotonin reuptake inhibitors (SSRIs) sertraline and fluoxetine, as well as for moclobemide, a reversible inhibitor of monoamine oxidase A.

Light-dependent alteration of serotonin-1A receptor binding in cortical and subcortical limbic regions in the human brain

OBJECTIVE

Climate, in particular sunshine, influences mood and energy levels, creating a positive upswing of mood on bright, sunny days and negative downswing in cold, dark winter seasons. Higher serotonin transporter availability in healthy human subjects in times of lesser light exposure and lower serotonin levels have been shown in winter.

METHODS

We examined the light-dependent variations in serotonin-1A receptor binding in limbic regions in 36 drug-naive healthy human subjects. Receptor binding was quantified using positron emission tomography and the radioligand [carbonyl-¹¹C]WAY-100635. Binding potential values were related to the amount of individual exposure to sunlight (daily duration of sunshine) and global radiation (total light intensity).

RESULTS

We found a 20-30% lower serotonin-1A receptor binding in the group exposed to a lower amount of global light radiation. Partial correlation analysis revealed significant positive correlations between the regional postsynaptic serotonin-1A receptor binding and global radiation accumulated over a period of 5 days.

CONCLUSIONS

Seasonal factors, such as daily amount of sunshine and global radiation, influence serotonin-1A receptor binding in limbic brain regions of healthy human subjects. Combined with recently demonstrated seasonal fluctuations in the serotonin transporter availability, our results underline the importance of seasonal factors in the regulation of the serotonergic transmission.

Cross-national survey of winter and summer patterns of mood seasonality: a comparison between Italy and India

The aim of this study was to compare winter and summer patterns of mood seasonality in university students living at different latitudes: Bologna, 44° N (Italy), and Kalyani, 22° N (India). To assess the mood seasonality, the Seasonal Pattern Assessment Questionnaire was administered to 1370 university students (808 females, 562 males; 862 Italians, 508 Indians), ranging in age between 18 and 28 years. A significantly higher Global Seasonality Score was observed in females than males as well as in Italians than Indians. The estimated rates of summer seasonal affective disorder (SAD) and summer subsyndromal SAD were higher in Indians, whereas Italians reported higher percentage of winter SAD and winter subsyndromal SAD. The present findings are discussed in relation to the different environmental features between the 2 countries: high summer temperature in India and short winter photoperiod along with its great excursion over the year in Italy.

Is Collegiate Athletic Participation a Protective Factor in Seasonality?

This study investigated seasonality in male and female college athletes and nonathletes. Given the literature on activity level and its positive impact on mood, it was predicted that athletes would benefit more than nonathletes with regards to seasonal symptoms. Participants completed measures of seasonality, depression, and cognitive processes during a winter month. Multiple measures of seasonality were administered to distinguish seasonal depression symptoms from nonseasonal symptoms. Results indicated that nonathletes reported more seasonal symptoms, seasonal attitudes, and rumination, gained more weight, socialized the least, and slept more than athletes. Female nonathletes reported the most impact from the changing seasons and more negative thoughts about the changing seasons. These results indicate that engaging in collegiate athletics may serve as a protective factor in seasonal depression.

Imaging of seasonal affective disorder and seasonality effects on serotonin and dopamine function in the human brain

According to current knowledge, disturbances in brain monoamine transmission play a major role in many psychiatric disorders, and many of the radioligands used for investigating these disorders bind to targets within the brain monoamine systems. However, a phylogenetically ancient and prevailing function of monoamines is to mediate the adaptation of organisms and cells to rhythmical changes in light conditions, and to other environmental rhythms, such as changes in temperature, or the availability of energy resources throughout the seasons. The physiological systems mediating these changes are highly conserved throughout species, including humans. Here we review the literature on seasonal changes in binding of monoaminergic ligands in the human brain. Moreover, we argue for the importance of considering possible effects of season when investigating brain monoamines in healthy subjects and subjects with psychiatric disorders.

Seasonality and sleep: a clinical study on euthymic mood disorder patients

Background. Research on mood disorders has progressively focused on the study of seasons and on the mood in association with them during depressive or manic episodes yet few studies have focused on the seasonal fluctuation that characterizes the patient's clinical course both during an illness episode and during euthymic periods. Methods. 113 euthymic outpatients 46 affected by major recurrent depression and 67 affected by bipolar disorder were recruited. We evaluated the impact of clinical "rhythmical" factors: seasonality, sleep disturbance, and chronotype. Patients completed the SPAQ+ questionnaire, the MEQ questionnaire, and the medical outcomes study (MOS) sleep scale. We used t-test analyses to compare differences of clinical "rhythmical" and sociodemographic variables and of differences in the assessment scales among the diagnostic groups. Results. Patients reporting a family history for mood disorders have higher fluctuations throughout seasons. Sleep disturbance is more problematic in unipolars when compared to bipolars. Conclusions. Sleep, light, and seasonality seem to be three interconnected features that lie at the basis of chronobiology that, when altered, have an important effect both on the psychopathology and on the treatment of mood disorders.

Seasonality in depressive and anxiety symptoms among primary care patients and in patients with depressive and anxiety disorders; results from the Netherlands Study of Depression and Anxiety

BACKGROUND

Little is known about seasonality of specific depressive symptoms and anxiety symptoms in different patient populations. This study aims to assess seasonal variation of depressive and anxiety symptoms in a primary care population and across participants who were classified in diagnostic groups 1) healthy controls 2) patients with a major depressive disorder, 3) patients with any anxiety disorder and 4) patients with a major depression and any anxiety disorder.

METHODS

Data were used from the Netherlands Study of Depression and Anxiety (NESDA). First, in 5549 patients from the NESDA primary care recruitment population the Kessler-10 screening questionnaire was used and data were analyzed across season in a multilevel linear model. Second, in 1090 subjects classified into four groups according to psychiatric status according to the Composite International Diagnostic Interview, overall depressive symptoms and atypical versus melancholic features were assessed with the Inventory of Depressive Symptoms. Anxiety and fear were assessed with the Beck Anxiety Inventory and the Fear questionnaire. Symptom levels across season were analyzed in a linear regression model.

RESULTS

In the primary care population the severity of depressive and anxiety symptoms did not show a seasonal pattern. In the diagnostic groups healthy controls and patients with any anxiety disorder, but not patients with a major depressive disorder, showed a small rise in depressive symptoms in winter. Atypical and melancholic symptoms were both elevated in winter. No seasonal pattern for anxiety symptoms was found. There was a small gender related seasonal effect for fear symptoms.

CONCLUSIONS

Seasonal differences in severity or type of depressive and anxiety symptoms, as measured with a general screening instrument and symptom questionnaires, were absent or small in effect size in a primary care population and in patient populations with a major depressive disorder and anxiety disorders.

Bright-light therapy in the treatment of mood disorders

Bright-light therapy (BLT) is established as the treatment of choice for seasonal affective disorder/winter type (SAD). In the last two decades, the use of BLT has expanded beyond SAD: there is evidence for efficacy in chronic depression, antepartum depression, premenstrual depression, bipolar depression and disturbances of the sleep-wake cycle. Data on the usefulness of BLT in non-seasonal depression are promising; however, further systematic studies are still warranted. In this review, the authors present a comprehensive overview of the literature on BLT in mood disorders. The first part elucidates the neurobiology of circadian and seasonal adaptive mechanisms focusing on the suprachiasmatic nucleus (SCN), the indolamines melatonin and serotonin, and the chronobiology of mood disorders. The SCN is the primary oscillator in humans. Indolamines are known to transduce light signals into cells and organisms since early in evolution, and their role in signalling change of season is still preserved in humans: melatonin is synthesized primarily in the pineal gland and is the central hormone for internal clock circuitries. The melatonin precursor serotonin is known to modulate many behaviours that vary with season. The second part discusses the pathophysiology and clinical specifiers of SAD, which can be seen as a model disorder for chronobiological disturbances and the mechanism of action of BLT. In the third part, the mode of action, application, efficacy, tolerability and safety of BLT in SAD and other mood disorders are explored.

Cognitive vulnerability in moderate, mild, and low seasonality

This study examined the association between cognitive vulnerability factors and seasonality. Students (N = 88), classified based on the Seasonal Pattern Assessment Questionnaire as experiencing moderate (n = 26) or mild (n = 32) seasonality, and nondepressed, low-seasonality controls (n = 30) completed explicit (i.e., dysfunctional attitudes, automatic negative thoughts, seasonal attitudes, and rumination) and implicit (i.e., implicit associations test) measures of cognitive vulnerability at one winter and one nonwinter assessment. Relative to low- and mild-seasonality participants, moderate-seasonality participants endorsed more automatic thoughts and rumination in winter and more dysfunctional attitudes across both seasons. Moderate- and mild-seasonality participants endorsed more maladaptive seasonal attitudes than did low-seasonality participants. All groups demonstrated increased dysfunctional attitudes, automatic thoughts, and rumination and stronger implicit associations about light and dark during the winter. The findings support a possible cognitive mechanism of winter depression onset and/or maintenance unique to individuals with moderate, as opposed to mild, seasonality.

Abnormal hypothalamic response to light in seasonal affective disorder

BACKGROUND

Vulnerability to the reduction in natural light associated with fall/winter is generally accepted as the main trigger of seasonal affective disorder (SAD), whereas light therapy is a treatment of choice of the disorder. However, the relationship between exposure to light and mood regulation remains unclear. As compared with green light, blue light was shown to acutely modulate emotion brain processing in healthy individuals. Here, we investigated the impact of light on emotion brain processing in patients with SAD and healthy control subjects and its relationship with retinal light sensitivity.

METHODS

Fourteen symptomatic untreated patients with SAD (34.5 ± 8.2 years; 9 women) and 16 healthy control subjects (32.3 ± 7.7 years; 11 women) performed an auditory emotional task in functional magnetic resonance imaging during the fall/winter season, while being exposed to alternating blue and green monochromatic light. Scotopic and photopic retinal light sensitivities were then evaluated with electroretinography.

RESULTS

Blue light enhanced responses to auditory emotional stimuli in the posterior hypothalamus in patients with SAD, whereas green light decreased these responses. These effects of blue and green light were not observed in healthy control subjects, despite similar retinal sensitivity in SAD and control subjects.

CONCLUSIONS

These results point to the posterior hypothalamus as the neurobiological substrate involved in specific aspects of SAD, including a distinctive response to light and altered emotional responses.

Chronic sleep deprivation and seasonality: implications for the obesity epidemic

Sleep duration has progressively fallen over the last 100 years while obesity has increased in the past 30 years. Several studies have reported an association between chronic sleep deprivation and long-term weight gain. Increased energy intake due to sleep loss has been listed as the main mechanism. The consequences of chronic sleep deprivation on energy expenditure have not been fully explored. Sleep, body weight, mood and behavior are subjected to circannual changes. However, in our modern environment seasonal changes in light and ambient temperature are attenuated. Seasonality, defined as cyclic changes in mood and behavior, is a stable personality trait with a strong genetic component. We hypothesize that the attenuation in seasonal changes in the environment may produce negative consequences, especially in individuals more predisposed to seasonality, such as women. Seasonal affective disorder, a condition more common in women and characterized by depressed mood, hypersomnia, weight gain, and carbohydrate craving during the winter, represents an extreme example of seasonality. One of the postulated functions of sleep is energy preservation. Hibernation, a phenomenon characterized by decreased energy expenditure and changes in the state of arousal, may offer useful insight into the mechanisms behind energy preservation during sleep. The goals of this article are to: a) consider the contribution of changes in energy expenditure to the weight gain due to sleep loss; b) review the phenomena of seasonality, hibernation, and their neuroendocrine mechanisms as they relate to sleep, energy expenditure, and body weight regulation.

Delayed sleep phase syndrome is related to seasonal affective disorder

BACKGROUND

Both delayed sleep phase syndrome (DSPS) and seasonal affective disorder (SAD) may manifest similar delayed circadian phase problems. However, the relationships and co-morbidity between the two conditions have not been fully studied. The authors examined the comorbidity between DSPS and SAD.

METHODS

We recruited a case series of 327 DSPS and 331 controls with normal sleep, roughly matched for age, gender, and ancestry. Both DSPS and controls completed extensive questionnaires about sleep, the morningness-eveningness trait, depression, mania, seasonality of symptoms, etc.

RESULTS

The prevalences of SAD and subsyndromal SAD (S-SAD) were higher in DSPS compared to controls (χ(2)=12.65, p=0.002). DSPS were 3.3 times more likely to report SAD (odds ratio, 3.34; 95% CI, 1.41-7.93) compared to controls as defined by the Seasonal Pattern Assessment Questionnaire (SPAQ). Correspondingly, DSPS showed significantly higher seasonality scores compared to controls in mood, appetite, and energy level subscores and the global seasonality score (t=3.12, t=0.002; t=2.04, p=0.041; t=2.64, p=0.008; and t=2.15, p=0.032, respectively). Weight fluctuation during seasons and winter-summer sleep length differences were also significantly higher in DSPS than controls (t=5.16, p<0.001 and t=2.64, p=0.009, respectively). SAD and S-SAD reported significantly higher eveningness, higher depression self-ratings, and more previous mania symptoms compared to non-seasonal subjects regardless of whether they were DSPS or controls.

CONCLUSIONS

These cases suggested that DSPS is partially comorbid with SAD. These data support the hypothesis that DSPS and SAD may share a pathophysiological mechanism causing delayed circadian phase.

Seasonal variations in sleep problems at latitude 63°-65° in Norway: The Nord-Trondelag Health Study, 1995-1997

Most studies on seasonal variability in sleep have asked participants if they think their sleep quality varies with the seasons, which reveals the research hypothesis to the participants. To date, the hypothesis of seasonal variation in sleep has not been tested in a large population-based fully blinded study. The aim of the current study was to investigate monthly variations in sleep problems in a geographic region of Norway with large seasonal differences in daytime light. Using data from a general health survey, the authors had access to information on sleep in the general population, collected across the seasons over 2 years without linking sleep to seasonal variation. In all, 43,045 participants (mean age, 44.6 years) of the Nord-Trøndelag Health Study, 1995-1997 (referred to as "HUNT-2"), provided reports of insomnia symptoms and time in bed in all months except July. The mean prevalence of insomnia symptoms was 12.4%. No evidence of a seasonal variation on reports of insomnia symptoms or time in bed was found. These null findings are in marked contrast to previous seasonality studies of sleep. Previous studies reporting seasonal variations in sleep and insomnia might have been subject to publication biases and lack of blinding to the research hypothesis.

Differences between bipolar I and bipolar II disorders in clinical features, comorbidity, and family history

BACKGROUND

The present study was designed to investigate whether bipolar II disorder (BP-II) has different characteristics from bipolar I disorder (BP-I), not only in manic severity but also in clinical features, prior course, comorbidity, and family history, sufficiently enough to provide its nosological separation from BP-I.

METHODS

Comprehensive clinical evaluation was performed based on information available from ordinary clinical settings. Seventy-one BP-I and 34 BP-II patients were assessed using the Diagnostic Interview for Genetic Studies, Korean version. Psychiatric assessment for first-degree relatives (n=374) of the probands was performed using the modified version of the Family History-Research Diagnostic Criteria.

RESULTS

The frequency of depressive episodes was higher in BP-II (p=0.009) compared to BP-I. Further, seasonality (p=0.035) and rapid-cycling course (p=0.062) were more common in BP-II. Regarding manic expression, 'elated mood' was predominant in BP-II whereas 'elated mood' and 'irritable mood' were equally prevalent in BP-I. With regard to depressive symptoms, psychomotor agitation, guilty feeling, and suicidal ideation were more frequently observed in BP-II. BP-II patients exhibited a higher trend of lifetime co-occurrence of an axis I diagnosis (p=0.09), and a significantly higher incidence of phobia and eating disorder. The overall occurrence rate of psychiatric illness in first-degree relatives was 15.4% in BP-I and 26.5% in BP-II (p=0.01). Major depression (p=0.005) and substance-related disorder (p=0.051) were more prevalent in relatives of BP-II probands.

CONCLUSION

Distinctive characteristics of BP-II were identified in the current study and could be adopted to facilitate the differential diagnosis of BP-I and BP-II in ordinary clinical settings.

Atypical pattern of rod electroretinogram modulation by recent light history: a possible biomarker of seasonal affective disorder

Our goal was to challenge both normal controls and patients with seasonal affective disorders (SAD) to various light histories and then measure their retinal response modulation using the electroretinogram (ERG) in both winter and summer. In winter and summer, 11 normal controls and 12 SAD patients were exposed to three different light conditions for 1 h (10,000, 100 and 5 lux) followed by an ERG. Groups showed similar ERG amplitudes in the 100 lux condition. Compared with the 100-lux condition, in controls, the ERG response was significantly increased in the 5-lux condition; in SAD, it was significantly decreased in the 10,000-lux condition. This pattern was present in both seasons. This is the first time a retinal response modulation anomaly has been observed in SAD patients in both the depressed and euthymic states. Retinal response modulation may represent an interesting biomarker of the disease for future research.

What is this thing called “SAD”? A critique of the concept of seasonal affective disorder

Background– Seasonal Affective Disorder (SAD) is supposed to be caused by lack of daylight in winter. Yet the population of Northern Norway, living without sun for two winter months, does not spontaneously complain about depression during the dark period.Aims– To summarize research bearing upon the validity of the concept of SAD.Method– Review of relevant literature concerning the epidemiology of SAD and the questionnaire developed to measure it in general populations, the Seasonal Pattern Assessment Questionnaire (SPAQ).Results– Large population studies from northern Norway do not point to a higher prevalence of depression in winter than expected in any other general population. The psychometric properties of SPAQ are rather poor, and the diagnosis of SAD based on SPAQ bears little relationship to a meaningful concept of depression.Conclusions– Seasonal Affective Disorder is not a valid medical construct. Instead, “Recurrent depression with seasonal pattern” as defined in the DSM-IV and the ICD-10 should be used as terms. However, more research is needed to establish whether it is at all fruitful to single out such a subtype of recurrent depression.

Declaration of Interest: None.

Seasonal severity of depressive symptoms as a predictor of health service use in a community-based sample

OBJECTIVE

To determine whether severity of seasonal depressive symptoms is an independent predictor of depression-specific health service use.

METHODS

Cross-sectional telephone survey evaluating mood-related symptom changes across seasons using a structured interview based on the World Mental Health Composite International Diagnostic Interview, in a community sample representative of the province of Ontario, Canada (N = 1605). This study focuses on the 625 individuals (out of a total of 1605 interviewed) who screened positive for lifetime depressive symptoms. Severity of seasonal symptoms of depression (or "seasonality") was measured using the Seasonal Depression Severity (SDS) score (range 0-36). The primary outcome was lifetime depression-specific use of health services from a physician (family physician or psychiatrist). Lifetime psychotropic medication use, use of health services from a non-physician therapist, and psychiatric hospitalization were secondary outcomes. Other important variables that are known to predict depression-specific health service use were considered in multivariable analysis.

RESULTS

In our sample of individuals with depressive symptoms, those who had used physician health services had higher SDS scores than non-users (11.5 (SD 7.2) vs. 9.7 (SD 6.4), t(616) = 3.182, P = 0.001). In multivariable analysis, SDS score was independently associated with depression-specific health service use by a physician (OR = 1.04, 95% CI 1.01-1.07, p = 0.004). The relationship between seasonality and use of psychotropic medication use was similar (OR = 1.04, 95% CI 1.01-1.07, p = 0.007).

CONCLUSIONS

Seasonality was independently associated with depression-specific health service use for individuals with depressive symptoms. The results imply that greater seasonality may independently reflect increased severity and need for treatment of depression.

Association of seasonality and premenstrual symptoms in bipolar I and bipolar II disorders

BACKGROUND

Although seasonal affective disorder and premenstrual syndrome (PMS) are frequently observed in mood disorders, little is known as to whether lifetime traits of seasonality and premenstrual distress are related to bipolar disorder independent of mood episodes. This study aimed at investigating these two cyclic traits with respect to bipolar I and II disorders as well as evaluating the association between them.

METHODS

Subjects included 61 female patients with bipolar I or II disorders and 122 healthy women. Seasonality and premenstrual symptoms were measured retrospectively on a lifetime basis using the Seasonal Pattern Assessment Questionnaire (SPAQ) and the Premenstrual Symptoms Screening Tool (PSST).

RESULTS

Patients showed higher global seasonality scores on the SPAQ compared to the normal controls. Further, the patient-control difference was more prominent in cases of bipolar II disorder (p<0.0001) than in bipolar I disorder (p=0.001). The prevalence of moderate to severe PMS as indicated on the PSST was also significantly higher in bipolar II disorder patients (51.6%) as compared to controls (19.7%). A significant association between seasonality and PMS was observed in both patient and control groups.

CONCLUSIONS

The results suggested that female patients with bipolar disorder experience seasonal and premenstrual changes in mood and behavior regardless of their mood episodes, and traits of seasonality and PMS are associated with each other. A common biological mechanism of these two cyclic conditions may be involved in the development of the cyclicity of bipolar disorder.

Impact of blue vs red light on retinal response of patients with seasonal affective disorder and healthy controls

OBJECTIVES

Seasonal affective disorder (SAD) is characterized by a mood lowering in autumn and/or winter followed by spontaneous remission in spring or summer. Bright light (BL) is recognized as the treatment of choice for individuals affected with this disease. It was speculated that BL acts on photosensitive retinal ganglion cells, particularly sensitive to blue light, which led to the emergence of apparatus enriched with blue light. However, blue light is more at risk to cause retinal damage. In addition, we reported using electroretinography (ERG) that a 60 min exposure of BL could reduce rod sensitivity. The goal of the present study was to verify if this decreased in sensitivity could be a consequence of the blue light portion present in the white light therapy lamps. We also wanted to assess the effect of monochromatic blue light vs red light in both healthy controls and patients with SAD.

METHOD

10 healthy subjects and 10 patients with SAD were exposed in a random order for 60 min to two different light colors (red or blue) separated by an interval of at least 1 day. Cone and rod ERG luminance-response function was assessed after light exposure.

RESULTS

A two-way ANOVA indicates that blue light decreases the maximal ERG response (Vmax) in both groups in photopic (p<0.05) and scotopic conditions (p<0.01).

CONCLUSION

The main finding of this experiment is that blue light reduces photoreceptor responses after only a single administration. This brings important concerns with regard to blue-enriched light therapy lamps used to treat SAD symptoms and other disorders.

Sunshine-exposure variation of human striatal dopamine D(2)/D(3) receptor availability in healthy volunteers

BACKGROUND

In addition to the serotonergic system, the central dopaminergic system has been reported to be correlated with seasonality. The aim of this study was to explore the difference in striatal dopamine D(2)/D(3) receptor availability between healthy volunteers who had a high-sunshine exposure and those who had a low exposure.

METHODS

Sixty-eight participants were enrolled, and those in the upper and lower quartiles in terms of sunshine exposure were categorized into high- (n = 17) and low-sunshine-exposure (n = 18) subgroups. Single photon emission computed tomography with [(123)I] iodo-benzamide was used to measure striatal dopamine D(2)/D(3) receptor availability.

RESULTS

Striatal dopamine D(2)/D(3) receptor availability was significantly greater in the subjects with high-sunshine exposure than in those with low-sunshine exposure (F = 7.97, p = 0.01) after controlling for age, sex, and smoking status.

LIMITATIONS

Different subjects were examined at different time points in our study. In addition, the sex and tobacco use distributions differed between groups.

CONCLUSION

The central dopaminergic system may play a role in the neurobiological characteristics of sunshine-exposure variation.

Improvement in Fatigue, Sleepiness, and Health-Related Quality of Life with Bright Light Treatment in Persons with Seasonal Affective Disorder and Subsyndromal SAD

Objective. To investigate the effects of bright light treatment for secondary outcome measures and to explore and validate empirically derived subgroups and treatment effects in subgroups. Methods. A descriptive design. A sample of forty-nine persons (mean age of 45.8) with clinically assessed seasonal affective disorder (SAD) or subsyndromal SAD (S-SAD) participated in a two-group clinical trial evaluating the effects of treatment with bright light therapy. A person-oriented cluster analysis was applied to study treatment effects in subgroups. Results. For the merged group, sleepiness (Epworth Sleepiness Scale), fatigue (fatigue questionnaire), and health-related quality of life (SF-36) were improved at posttreatment, and results were maintained at the one-month followup. Three distinct subgroups had a high level of fatigue in common, while the level of excessive daytime sleepiness and depressed mood differed between the subgroups. Over time, all subgroups improved following ten days treatment in a light room. Conclusion. Fatigue, excessive daytime sleepiness, and health-related quality of life improve in a similar way as depressed mood following treatment with bright light. The treatment was effective irrespective of the severity of the disorder, that is, for persons with SAD and subsyndromal SAD.

Light therapy for seasonal affective disorder in a clinical office setting

OBJECTIVE

To determine predictors of response to light therapy (LT) for seasonal affective disorder, winter version, in a clinical office setting for patients with a spectrum of seasonality defined by the Seasonal Pattern Assessment Questionnaire (SPAQ).

METHOD

A retrospective review was done of charts of 51 patients who had been treated with a 1-week light therapy intervention. Patient self-rated scales applied in a standard manner were used to measure clinical progress. The Beck Depression Inventory (BDI) with added atypical features was used as the primary outcome variable. Sleep patterns were analyzed and the effect of psychotropic medications on outcome was determined. Seven point scales were used to assess expected response and global response. The importance of having LT set up and available in an office setting was evaluated. Retrospective degree of disability was measured based on the SPAQ degree of problem. The severity of the depressive episode was determined based on BDI score at entry.

RESULTS

Seasonality (how a patient's symptoms vary as a function of the season of the year), degree of disability based on the SPAQ, and severity of depressive episode at entry based on the BDI predicted response to LT. Greater severity at baseline based on BDI score predicted less chance of attaining full remission within 7 days of treatment compared with patients with lower severity scores at entry on the BDI. Sleep patterns relative to a fixed treatment time of 7 AM did not predict LT response. Light therapy was effective on its own, and the results were mixed as to whether adding LT to an existing antidepressant medication produced superior results.

CONCLUSION

Degree of seasonality can be used as a predictor of response to LT and may be clinically useful when suggesting that patients consider a trial of LT.

Do seasons have an influence on the incidence of depression? The use of an internet search engine query data as a proxy of human affect

BACKGROUND

Seasonal depression has generated considerable clinical interest in recent years. Despite a common belief that people in higher latitudes are more vulnerable to low mood during the winter, it has never been demonstrated that human's moods are subject to seasonal change on a global scale. The aim of this study was to investigate large-scale seasonal patterns of depression using Internet search query data as a signature and proxy of human affect.

METHODOLOGY/PRINCIPAL FINDINGS

Our study was based on a publicly available search engine database, Google Insights for Search, which provides time series data of weekly search trends from January 1, 2004 to June 30, 2009. We applied an empirical mode decomposition method to isolate seasonal components of health-related search trends of depression in 54 geographic areas worldwide. We identified a seasonal trend of depression that was opposite between the northern and southern hemispheres; this trend was significantly correlated with seasonal oscillations of temperature (USA: r = -0.872, p<0.001; Australia: r = -0.656, p<0.001). Based on analyses of search trends over 54 geological locations worldwide, we found that the degree of correlation between searching for depression and temperature was latitude-dependent (northern hemisphere: r = -0.686; p<0.001; southern hemisphere: r = 0.871; p<0.0001).

CONCLUSIONS/SIGNIFICANCE

Our findings indicate that Internet searches for depression from people in higher latitudes are more vulnerable to seasonal change, whereas this phenomenon is obscured in tropical areas. This phenomenon exists universally across countries, regardless of language. This study provides novel, Internet-based evidence for the epidemiology of seasonal depression.

Potential animal models of seasonal affective disorder

Seasonal affective disorder (SAD) is characterized by depressive episodes during winter that are alleviated during summer and by morning bright light treatment. Currently, there is no animal model of SAD. However, it may be possible to use rodents that respond to day length (photoperiod) to understand how photoperiod can shape the brain and behavior in humans. As nights lengthen in the autumn, the duration of the nightly elevation of melatonin increase; seasonally breeding animals use this information to orchestrate seasonal changes in physiology and behavior. SAD may originate from the extended duration of nightly melatonin secretion during fall and winter. These similarities between humans and rodents in melatonin secretion allows for comparisons with rodents that express more depressive-like responses when exposed to short day lengths. For instance, Siberian hamsters, fat sand rats, Nile grass rats, and Wistar rats display a depressive-like phenotype when exposed to short days. Current research in depression and animal models of depression suggests that hippocampal plasticity may underlie the symptoms of depression and depressive-like behaviors, respectively. It is also possible that day length induces structural changes in human brains. Many seasonally breeding rodents undergo changes in whole brain and hippocampal volume in short days. Based on strict validity criteria, there is no animal model of SAD, but rodents that respond to reduced day lengths may be useful to approximate the neurobiological phenomena that occur in people with SAD, leading to greater understanding of the etiology of the disorder as well as novel therapeutic interventions.

Seasonal changes in brain serotonin transporter binding in short serotonin transporter linked polymorphic region-allele carriers but not in long-allele homozygotes

BACKGROUND

A polymorphism in the promoter region of the serotonin transporter gene (5-HTTLPR) has been associated with seasonality both in patients with seasonal affective disorder and in the general population.

METHOD

We used in vivo molecular imaging to measure cerebral serotonin transporter (5-HTT) binding in 57 healthy Scandinavians and related the outcome to season of the year and to the 5-HTTLPR carrier status.

RESULTS

We found that the number of daylight minutes at the time of scanning correlated negatively with 5-HTT binding in the putamen and the caudate, with a similar tendency in the thalamus, whereas this association was not observed for the midbrain. Furthermore, in the putamen, an anatomic region with relatively dense serotonin innervation, we found a significant gene x daylight effect, such that there was a negative correlation between 5-HTT binding and daylight minutes in carriers of the short 5-HTTLPR allele but not in homozygote carriers of the long allele.

CONCLUSIONS

Our findings are in line with S-carriers having an increased response in neural circuits involved in emotional processing to stressful environmental stimuli but here demonstrated as a endophenotype with dynamic changes in serotonin reuptake.

Increased health risk in subjects with high self-reported seasonality

BACKGROUND

Seasonal variations in mood and behaviour, termed seasonality, are commonly reported in the general population. As a part of a large cross-sectional health survey in Hordaland, Norway, we investigated the relationship between seasonality, objective health measurements and health behaviours.

METHODOLOGY/PRINCIPAL FINDINGS

A total of 11,545 subjects between 40-44 years old participated, completing the Global Seasonality Score, measuring seasonality. Waist/hip circumference, BMI and blood pressure were measured, and blood samples were analyzed for total cholesterol, HDL cholesterol, triglycerides and glucose. Subjects also completed a questionnaire on miscellaneous health behaviours (exercise, smoking, alcohol consumption). Hierarchical linear regression analyses were used to investigate associations between seasonality and objective health measurements, while binary logistic regression was used for analysing associations between seasonality and health behaviours. Analyses were adjusted for sociodemographic factors, month of questionnaire completion and sleep duration. Seasonality was positively associated with high waist-hip-ratio, BMI, triglyceride levels, and in men high total cholesterol. Seasonality was negatively associated with HDL cholesterol. In women seasonality was negatively associated with prevalence of exercise and positively associated with daily cigarette smoking.

CONCLUSIONS/SIGNIFICANCE

High seasonality was associated with objective health risk factors and in women also with health behaviours associated with an increased risk for cardiovascular disease.

Seasonal trends in depressive problems among United States children and adolescents: a representative population survey

This study examined season-of-assessment differences in parent and child reports of depressive problems on well-validated instruments in 2009 U.S. children and adolescents, aged 6 to 18 years, from a nationally representative population survey. A parent completed the Child Behavior Checklist (CBCL) for each participant and 1226 of the 11-18-year-olds completed the Youth Self-Report (YSR). Outcome measures were CBCL and YSR withdrawn/depressed syndrome scale scores and rates of clinically elevated scores. Overall fall/winter versus spring/summer differences were not found on the CBCL or YSR for depressive problem severity or rates of depressive problems. Age, sex, and latitude were examined as potential moderators of the association between season-of-assessment and the outcomes. Of these, the effect of season-of-assessment on CBCL depressive problem severity depended upon age. Parents of 16-18-year-old adolescents rated depressive problems as significantly more severe in fall and winter than in spring and summer. Parents also rated depressive problems as significantly more severe in 16-18-year-olds than in 6-15-year-olds, but only when assessed in the fall and winter. There were no season-of-assessment differences among 6-15-year-old children and adolescents. The overall lack of season-of-assessment differences and the finding of age as a moderator on only one of four outcomes suggest minimal seasonality effects.

Time trends and seasonal patterns of health-related quality of life among U.S. adults

OBJECTIVES

Although numerous studies have examined health-related quality of life (HRQOL) longitudinally, little is known about the impact of seasonality on HRQOL. We examined trend and seasonal variations of population HRQOL.

METHODS

We used data from the monthly Behavioral Risk Factor Surveillance System (BRFSS). We examined monthly observed mean physically and mentally unhealthy days from January 1993 to December 2006, using the structural time-series model to estimate the trend and seasonality of HRQOL.

RESULTS

We found overall worsening physical and mental health during the time period and a significant and regular seasonal pattern in both physical and mental health. The worst physical health was during the winter and the best physical health was during the summer. The mean number of physically unhealthy days in January was 0.63 days higher than in July. The worst mental health occurred during the spring and fall, but the magnitude of the seasonal effect was much smaller. The difference between the best and worst months of mentally unhealthy days was approximately 0.23 days. We found significant differences in unadjusted and season-adjusted unhealthy days in many counties.

CONCLUSIONS

Our findings can be used to examine time-varying causal factors and the impact of interventions, such as policies designed to improve population health. Our findings also demonstrated the need for calculating season-adjusted HRQOL scores when examining cross-sectional factors on the population HRQOL measures for continuous surveys or longitudinal data.

Olfactory Discrimination and Transient Mood Change in Young Men and Women: Variation by Season, Mood State, and Time of Day

Odor performance varies by clinical state and gender, though little is known about its variation by season or time of day. Many odors, including lavender, induce transient mood changes. This study explored discrimination differences between various lavender oil blends and their effects on transient mood in the morning and evening in depressed and nondepressed adults. We also determined seasonal influences on these measures. A total of 169 subjects, 98 women and 71 men (mean age +/- SD, 19.3 +/- 1.6 y) participated, with different subjects studied at different times of the year. The Beck Depression Inventory (BDI) classified subjects as depressed (score > or =10; N= 57) or nondepressed (score <10; N= 112). In the discrimination test, subjects compared pairs of two different lavender oil blends or a control. Transient change in mood was assessed by the Profile of Mood States (POMS) after each trial of five lavender blends interspersed by three control odors. Tests were conducted in the morning (08:00-10:00 h) and evening (18:00-20:00h). In all subjects, discrimination was significantly better for some odor pairs than for others, thus demonstrating test specificity. Discrimination was better overall in the fall than winter/spring and better in depressed than nondepressed subjects for specific odor pairs. No significant gender or time-of-day differences in discriminability were detected. There were, however, significant group differences in transient mood profiles. Current depressed state affected mood response, with lavender increasing anger in depressed subjects only. In addition, depressed subjects and men, whether or not depressed, exhibited diurnal mood variation, with better mood in the evening; the former group also showed more evening energy. All subjects were more confused in the morning than evening. Season also affected transient mood; winter/spring-tested subjects reported more vigor than fall-tested subjects. In addition, summer-tested subjects showed more tension in the morning, whereas fall-tested subjects showed the opposite pattern in the evening. In all subjects, lavender increased fatigue, tension, confusion, and total mood disturbance, and it decreased vigor. The study showed that both chronobiological (seasonal and time-of-day) and clinical factors modify discrimination and mood response to odors. Brief lavender odor presentation may serve as a nonphotic method for altering mood in young depressed and nondepressed adults particularly during the fall, a time of heightened discriminability.

Brief Communication: SEASONAL VARIABILITY IN BEHAVIORAL DESPAIR IN FEMALE RATS

Separate groups of female Wistar rats were tested every three months over a year to assess the extent of seasonal variability in the behavioral despair model of depression consisting of 2 swim tests separated by 24 h. There was a significant seasonal variability in the duration of immobility in the swim tests; duration of immobility was shorter in August and November than in February and May. These findings suggest reduced immobility and susceptibility to behavioral despair in summer and fall compared to winter and spring.

Winter Depression: Integrating mood, circadian rhythms, and the sleep/wake and light/dark cycles into a bio-psycho-social-environmental model

The phase shift hypothesis (PSH) states that most patients with SAD become depressed in the winter because of a delay in circadian rhythms with respect to the sleep/wake cycle: According to the PSH, these patients should preferentially respond to the antidepressant effects of bright light exposure when it is scheduled in the morning so as to provide a corrective phase advance and restore optimum alignment between the circadian rhythms tightly coupled to the endogenous circadian pacemaker and those rhythms that are related to the sleep/wake cycle. Recent support for the PSH has come from studies in which symptom severity was shown to correlate with the degree of circadian misalignment: it appears that a subgroup of patients are phase advanced, not phase delayed; however, the phase-delayed type is predominant in SAD and perhaps in other disorders as well, such as non-seasonal unipolar depression. It is expected that during the next few years the PSH will be tested in these and other conditions, particularly since healthy subjects appear to have more severe symptoms of sub-clinical dysphoria correlating with phase-delayed circadian misalignment; critically important will be the undertaking of treatment trials to investigate the therapeutic efficacy of morning bright light or afternoon/evening low-dose melatonin in these disorders in which symptoms are more severe as the dim light melatonin onset (DLMO) is delayed with respect to the sleep/wake cycle (non-restorative sleep should also be evaluated, as well as bipolar disorder). The possibility that some individuals (and disorders) will be of the phase-advanced type should be considered, taking into account that the correct timing of phase-resetting agents for them will be bright light scheduled in the evening and/or low-dose melatonin taken in the morning. While sleep researchers and clinicians are accustomed to phase-typing patients with circadian-rhythm sleep disorders according to the timing of sleep, phase typing based on the DLMO with respect to the sleep/wake cycle may lead to quite different recommendations for the optimal scheduling of phase-resetting agents, particularly for the above disorders and conditions.

Prevalence of self-reported seasonal affective disorders and the validity of the seasonal pattern assessment questionnaire in young adults Findings from a Swiss community study

BACKGROUND

The objective of this study was to expand the knowledge on the prevalence of self-reported Seasonal Affective Disorder (SAD) and to further study the validity of the Seasonal Pattern Assessment Questionnaire (SPAQ).

METHODS

A total of N=844 young adults were assessed in a Swiss community study by use of the SPAQ, a Seasonal Affective Disorders Questionnaire (SADQ), the Young Adult Self Report (YASR), the Centre for Epidemiologic Depression Scale (CES-D), and scales for measuring self-esteem, self-awareness and life events. At a second stage, a total of N=534 screen positives and controls were subjected to the Composite International Diagnostic Interview (M-CIDI) for the assessment of mental disorders. According to the SPAQ classification a group of SAD subjects and a group of subsyndromal SAD subjects (S-SAD) were defined. In addition, a third group of high-scoring depressives (HSD) subjects scoring above the 75th percentile of the CES-D was defined. Comparisons included these three groups and the rest of the sample serving as controls.

RESULTS

The weighted prevalence for SAD in this sample was 7.84% based on the SPAQ alone. With the addition of the SADQ, weighted prevalence rates dropped to 2.22%. Weighted subsyndromal SAD was 33.04%. Across the vast majority of scales, the SAD group was indistinguishable from the HSD group. These two groups scored highest, whereas the S-SAD group had an intermediate position and the controls had the lowest scores. SAD was best predicted by the CES-D total score.

CONCLUSIONS

The SPAQ as a single measure leads to an overestimation of SAD which, nevertheless, is a rather common phenomenon also in this central European population. The findings on the validity of the SPAQ are extended by showing that predominantly general aspects of depression are measured.

NPAS2 and PER2 are linked to risk factors of the metabolic syndrome

Background

Mammalian circadian clocks control multiple physiological events. The principal circadian clock generates seasonal variations in behavior as well. Seasonality elevates the risk for metabolic syndrome, and evidence suggests that disruption of the clockwork can lead to alterations in metabolism. Our aim was to analyze whether circadian clock polymorphisms contribute to seasonal variations in behavior and to the metabolic syndrome.

Methods

We genotyped 39 single-nucleotide polymorphisms (SNP) from 19 genes which were either canonical circadian clock genes or genes related to the circadian clockwork from 517 individuals drawn from a nationwide population-based sample. Associations between these SNPs and seasonality, metabolic syndrome and its risk factors were analyzed using regression analysis. The p-values were corrected for multiple testing.

Results

Our findings link circadian gene variants to the risk factors of the metabolic syndrome, since Npas2 was associated with hypertension (P-value corrected for multiple testing = 0.0024) and Per2 was associated with high fasting blood glucose (P-value corrected for multiple testing = 0.049).

Conclusion

Our findings support the view that relevant relationships between circadian clocks and the metabolic syndrome in humans exist.