Canadian Psychiatric Association
 

Editorial Credits/ Crédits éditorials

Subscription Rates /Prix d'abonnements

Advertising Rates / Tarifs publicitaires (PDF)


Guest Editorial
Training Issues in Psychiatry in Canada
Emmanuel Persad, John Leverette
(PDF)


In Review
The Implications of Core Competencies for Psychiatric Education and Practice in the US

Stephen C Scheiber, Thomas AM Kramer, Susan E Adamowski

(PDF)

Mastering CanMEDS Roles in Psychiatric Residency: A Resident’s Perspective
Isolda Tuhan

(PDF)

Residency Training: Challenges and Opportunities in Preparing Trainees for the 21st Century
Lawrence Martin, Karen Saperson, Barbara Maddigan

(PDF)


Original Research
Patient Characteristics Associated With Nonprescription Drug Use in Intentional Overdose
Andre Lo, Stephen Shalansky, Marianna Leung, Yitzchak Hollander, Janet Raboud
(PDF)

The Canadian Psychiatric Association Practice Profile Survey: I. Methods and General Sample Characteristics
Elizabeth Lin, D Blake Woodside, Anne Rhodes

(PDF)

The Canadian Psychiatric Association Practice Profile Survey: II. General Description of Results
D Blake Woodside, Elizabeth Lin

(PDF)

Effect of Depression on Stroke Morbidity and Mortality
Rajamannar Ramasubbu, Scott B Patten

(PDF)

Switch to Mania Upon Discontinuation of Antidepressants in Patients With Mood Disorders: A Review of the Literature
Sherese Ali, Roumen Milev

(PDF)

Acute Neuroendocrine Response to Sexual Stimulation in Sexual Offenders
Philip Haake, Manfred Schedlowski, Michael S Exton, Christoph Giepen, Uwe Hartmann, Michael Osterheider, Martin Flesch, Onno E Janssen, Norbert Leygraf, Tillmann HC Krüger

(PDF)


Brief Communication
Weight Gain in First-Episode Psychosis

Jean Addington, Chrystal Mansley, Donald Addington

(PDF)

Influence of Season and Latitude in a Community Sample of Subjects With Bipolar Disorder
Ayal Schaffer, Anthony J Levitt, Michael Boyle

(PDF)


Book Reviews
(PDF)

Overcoming Resistance in Cognitive Therapy.
Reviewed by
Nancy L Kocovski, MA; Zindel V Segal, PhD, C Psych

Media Violence and Its Effect on Aggression: Assessing the Scientific Evidence.
Reviewed by
Jan Volavka, MD, PhD


Letters to the Editor
(PDF)

Biological Factors and Adolescent Alcohol Use

Minor Strokes Related to Paroxetine Discontinuation in an Elderly Subject: Emergent Adverse Events

Quetiapine Reduces Flashbacks in Chronic Posttraumatic Stress Disorder

Behaviour Therapy for Dizziness?

Involuntary Treatment of a Patient with Factitious Disorder: A Paradox?

Brief Communication

Influence of Season and Latitude in a Community Sample of Subjects With Bipolar Disorder

Ayal Schaffer, MD, FRCPC1, Anthony J Levitt, MD, FRCPC2, Michael Boyle, MSW, PhD3

 

Objective: To report on the prevalence of seasonal bipolar disorder (BD) and the impact of latitude in a community sample in the province of Ontario.

Method: This study used the telephone-administered Depression and Seasonality Interview. Exact latitude was determined for each participant.

Results: Overall, 14 of 62 (22.6%) subjects with BD had the seasonal subtype of BD. Latitude did not appear to influence the proportion of subjects with the seasonal subtype.

Conclusions: We identified a seasonal pattern of illness in a proportion of subjects with BD.

(Can J Psychiatry 2003;48: 277–280)

Click here for author affiliations.

Clinical Implications

  • A seasonal pattern of illness was identified in 22.6% of subjects with bipolar disorder (BD).

  • Latitude does not appear to affect the prevalence of BD or the proportion of subjects with BD and a seasonal pattern of illness.

  • Seasonal bipolar depression appears to occur more often between the months of September and February.

Limitations

  • Only a minority of households agreed to participate in the study.

  • The timing of past episodes of mania or bipolar depression may be difficult to ascertain using a telephone interview.

  • The sample size (n = 62) of subjects with BD was modest.


Key Words
: bipolar disorder, seasonal, latitude, depression, mania, community

Résumé : Influence des saisons et de la latitude dans un échantillon bipolaire d’une communauté

It has long been recognized that aspects of bipolar disorder (BD) have a seasonal pattern (1); however, studies have focused nearly exclusively on hospital admissions for mania (2–8). A few retrospective chart reviews have examined bipolar depression or mood episodes and have found the prevalence of a seasonal subtype of BD in clinic samples to be 15% to 18% (9–11). To our knowledge, there have been no reports of the prevalence of the BD seasonal subtype in a community sample. Latitude has been examined for the effect on seasonality in recurrent major depressive disorder (12–16), but there are limited data with respect to the effect of latitude on BD.

This study reports the prevalence of the seasonal subtype of BD in a community sample in the province of Ontario. To address the impact of latitude on the prevalence of BD, the study gave particular attention to latitude in the sampling technique.

Patients and Methods

This study used the telephone-administered Depression and Seasonality Interview, Ontario Version (DSI-O). Levitt and others provide a detailed description of this interview (17). For the purposes of sampling, the province was divided into 8 strata (1º latitude each) from 41.50ºN to 49.49ºN. An equal number of residential telephone numbers was randomly selected for each stratum. The selected residences were then randomly assigned for contact in each of the 4 seasons of the year. Households were eligible if at least 1 member of the household was aged 20 years or over and had been residing at the current abode (or within 150 km) for more than 6 months in each of the past 3 years. The person in the household with the next birthday who was aged 20 years or over was then identified as the “target respondent.” If the target respondent agreed to participate, we obtained verbal informed consent. Goldfarb Consultants, a market research company involved in developing the DSI-O and experienced in its use, conducted all interviews. The Institutional Research Ethics Board approved the procedures for this study.

The DSI-O uses DSM-III-R criteria to define mood episodes and to diagnose BD. Seasonal mania was defined as occuring when subjects reported that 50% or more of their episodes of mania began and ended at the same time of the year each year. Seasonal bipolar depression was defined in an analogous manner. Subjects with BD who met the criteria for seasonal mania or seasonal bipolar depression were defined as having a seasonal subtype of BD.

Table 1  Sociodemographic characteristics of the bipolar disorder group

Bipolar disorder
(n = 62)

Age years, mean (SD)

35.8 (9.8)

%


Women  (%)

58.1

Marital status

     Married or common-law

     Divorced or separated

     Single

     Other

 

51.6

24.2

19.4

4.8

Employment status

     Full-time or part-time

     Unemployed or disabled

     Not in work force




66.1

14.5

19.3

Education level

     Below grade 12

     High school graduate

     Above high school




32.3

27.4

40.3

Results

Sample Description
Between mid-March 1996 and mid-March 1997, 6666 telephone numbers were processed. No contact was made with 2291. Of the 4375 successful contacts, 2397 refused to participate before hearing details of the study. Of the 1978 contacts who heard the details of the study, 228 (12%) refused to participate, 145 (7%) had no eligible member of the household, and 1605 (81%) completed the interview. Table 1 displays the sociodemographic characteristics of the BD group.

Prevalence and Lifetime Course of BD
Of the respondents, 62 (3.9%) were identified as having BD. Subjects with BD had a mean (SD) of 10.2 (14.9) lifetime episodes of mania or hypomania and a mean (SD) of 9.1 (14.8) lifetime episodes of depression. Mean (SD) age of first mania or hypomania was 24.7 (11.1) years, and mean (SD) age of first depression was 21.9 (9.8) years. Subjects with BD I and subjects with BD II did not differ significantly on any of these lifetime course variables (Table 2).

Table 2  Prevalence, lifetime course, and frequency of seasonal subtypes

Bipolar I

Bipolar II

P value

Crude lifetime prevalence

32/1605
(2.0%; 95%CI 1.3%–2.7%)

30/1605
(1.9%; 95%CI 1.2%–2.5%)

ns

Seasonal mania (%)

5/32 (15.6)

3/30 (10)

ns

Seasonal depression (%)

1/32 (3.1)

7/30 (23.3)

0.02

Seasonal mania and seasonal depression (%)

1/32 (3.1)

1/30 (3.3)

ns

Seasonal subtype (%)

5/32 (15.6)

9/30 (30)

ns

 

Mean (SD)


Mean (SD)


 

Age of first mania or hypomania (years)

25.8 (12.2)

23.5 ( 9.8)

ns

Age of first depression (years)

21.5 (11.1)

22.3 ( 8.5)

ns

Number of lifetime manias or hypomanias

9.1 (12.6)

11.4 (17.3)

ns

Number of lifetime depressions

9.5 (18.3)

8.7 (11.0)

ns

Seasonal BD
Overall, 14/62 (22.6%) (95%CI, 11.9% to 33.3%) BD subjects had the seasonal subtype of BD. Seasonal mania and seasonal bipolar depression each occurred in 8/62 (12.9%) subjects with BD. Two BD subjects (3.2%) experienced both seasonal mania and seasonal bipolar depression. Table 2 provides comparisons between subjects with BD I and II.

Figure 1 displays the months of the year in which mood episodes began for the 14 subjects with a seasonal subtype of BD. Of note, the total number of months is greater than 14, because episodes may have been defined as occurring during a particular season rather than during a specific month. The small number of subjects with seasonal BD did not allow for meaningful comparisons between the frequency of onset of mood episodes at different months of the year.

Effect of Latitude
Prevalence of BD across strata (linear-by-linear association = 0.11, df 1, P = 0.74) did not differ significantly. The small number of subjects with seasonal BD (n = 14) did not allow for meaningful comparisons of the frequency of seasonal BD across the 8 strata.

Figure 1 Month of the year in which seasonal mania or
seasonal depression began (double plotted)

schafferfig1.jpg - 28097 Bytes

Discussion

This study examined the influence of season and latitude in a community sample of subjects with BD. This is the first study we know of that examines these factors among subjects who were not recruited at treatment centres, and as a result, may be more generalizable to community populations.

Seasonal mania or seasonal bipolar depression was identified in 22.6% of the BD subjects. This is somewhat higher than previously reported prevalence rates of seasonal BD (15% to 18%) (9–11). One potential explanation is that our use of telephone interviewing may overestimate the prevalence of the seasonal subtype. However, because we sampled a nontreatment group of individuals, who are less affected by treatment or sampling bias, the estimated prevalence rates identified in this study may be more representative of the true community prevalence rates. The seasonal subtype was numerically more frequent among subjects with BD II (30%) vs BD I (15.6%). This result is consistent with the original findings of Rosenthal and others, who noted that most cases of seasonal depression are found in subjects with BD II (18).

The fact that BD patients appear to be more likely to experience an onset of a mood episode during certain times of the year (Figure 1) raises an interesting methodological issue with respect to the timing of recruitment for BD treatment studies. This seasonal influence makes it less likely that subjects with seasonal BD who are recruited in August will maintain their response to treatment, compared with subjects recruited in April. One way to examine this potential bias would be for treatment studies to document the proportion of BD subjects with a seasonal pattern of illness and then report on rates of recruitment according to month.

Latitude does not seem to be an important factor in the occurrence of BD or in the proportion of BD subjects with a seasonal subtype. These results support the indirect findings of the available literature examining BD in different locations, which has failed to identify a clear pattern with respect to the effect of latitude on seasonal variations in BD.

The findings of this study must be considered in the context of several limitations. First, this study relied on telephone interviewing, which may be less accurate than face-to-face interviews. Notably, however, our group’s previous experience in comparing telephone administration of the DSI-O with face-to-face interviews using the Schedule for Affective Disorders and Schizophrenia Lifetime Version (SADS-LV (19) found a sensitivity of 83%, a specificity of 100%, a negative predictive value of 93%, and a positive predictive value of 100% (17). The advantage of using telephone interviews in this study is that it allowed us to sample subjects across a large geographic area.

A second potential limitation is that the study was limited to the province of Ontario, which is entirely above 41.5ºN. We cannot rule out the possibility that studying a larger area, or an area below 41.5ºN or above 49.5ºN, would demonstrate evidence of an effect of latitude. A third limitation of this study is the relatively small number of subjects with BD (n = 62). This is relatively large, compared with other studies of seasonal BD, but it is small in terms of epidemiologic surveys. Thus, the reported prevalence rates of BD and the seasonal subtype of BD must be interpreted with appropriate caution. A final limitation of the study is that 2397 telephone contacts refused to participate in the study before hearing any details. This is a universal issue when conducting general population studies and necessitates caution when interpreting the results.

Given the consistent evidence for a seasonal pattern of illness in some BD patients, determining the influence of season should be part of assessing any patient with BD. Future studies are needed to evaluate the influence of season on treatment response in BD.


References

1. Goodwin FK, Jamison KR. Manic-depressive illness. New York: Oxford University Press; 1990.

2. Symonds RL, Williams P. Seasonal variation in the incidence of mania. Br J Psychiatry 1976;129:45–8.

3. Eastwood MR, Stiasny S. Psychiatric disorder, hospital admission, and season. Arch Gen Psychiatry 1978;35:769–71.

4. Mulder RT, Cosgriff JP, Smith AM, Joyce PR. Seasonality of mania in New Zealand. Aust N Z J Psychiatry 1990;24:187–90.

5. Sayer HK, Marshall S, Mellsop GW. Mania and seasonality in the southern hemisphere. J Affect Disord 1991;23:151–6.

6. Partonen T, Lonnqvist J. Seasonal variation in bipolar disorder. Br J Psychiatry 1997;170:483–4.

7. Whitney DK, Sharma V, Kueneman K. Seasonality of manic depressive illness in Canada. J Affect Disord 1999;55:99–105.

8. Clarke M, Moran P, Keogh F, Morris M, Kinsella A, Larkin C, and others. Seasonal influences on admissions for affective disorder and schizophrenia in Ireland: a comparison of first and readmissions. Eur Psychiatry 1999;14:251–5.

9. Hunt N, Sayer H, Silverstone T. Season and manic relapse. Acta Psychiatr Scand 1992;85:123–6.

10. Faedda GL, Tondo L, Teicher MH, Baldessarini RJ, Gelbard HA, Floris GF. Seasonal mood disorders: patterns of seasonal recurrence in mania and depression. Arch Gen Psychiatry 1993;50:17–23.

11. Avasthi A, Sharma A, Gupta N, Kulhara P, Varma VK, Malhotra S, and others. Seasonality and affective disorders: a report from North India. J Affect Disord 2001;64:145–54.

12. Rosen LN, Targum SD, Terman M, Bryant MJ, Hoffman H, Kasper SF, and others. Prevalence of seasonal affective disorder at four latitudes. Psychiatry Res 1990;31:131–44.

13. Williams RJ, Schmidt GG. Frequency of seasonal affective disorder among individuals seeking treatment at a Northern Canadian Mental Health Center. Psychiatry Res 1993;46:41–5.

14. Ozaki N, Ono Y, Ito A, Rosenthal NE. Prevalence of seasonal difficulties in mood and behavior among Japanese civil servants. Am J Psychiatry 1995;152:1225–7.

15. Blazer DG, Kessler RC, Swartz MS. Epidemiology of recurrent major and minor depression with a seasonal pattern: the National Comorbidity Survey. Br J Psychiatry 1998;172:164–7.

16. Saarijarvi S, Lauerma H, Helenius H, Saarilehto S. Seasonal affective disorders among rural Finns and Lapps. Acta Psychiatr Scand 1999;99:95–101.

17. Levitt AJ, Boyle MH, Joffe RT, Baumal Z. Estimated prevalence of the seasonal subtype of major depression in a Canadian community sample. Can J Psychiatry 2000;45:650–4.

18. Rosenthal NE, Sack DA, Gillin C, Lewy AJ, Goodwin FK, Davenport Y, and others. Seasonal affective disorder: a description of the syndrome and preliminary findings with light therapy. Arch Gen Psychiatry 1984;41:72–80.

19. Endicott J, Spitzer RL. A diagnostic interview: the schedule for affective disorders and schizophrenia. Arch Gen Psychiatry 1978;35:837–44.

Author(s)

Manuscript received September 2002 and accepted October 2002.

1. Assistant Professor, Department of Psychiatry, University of Toronto, Toronto, Ontario; Deputy Head, Mood Disorders Program, Sunnybrook and Women’s College Health Sciences Centre, Toronto, Ontario.

2. Associate Professor, Department of Psychiatry, University of Toronto, Toronto, Ontario; Psychiatrist-in-Chief, Sunnybrook and Women’s College Health Sciences Centre, Toronto, Ontario.

3. Professor, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario.

Address for correspondence: Dr A Schaffer, Sunnybrook and Women’s College Health Sciences Centre, 2075 Bayview Avenue, Room FG46, Toronto, ON M4N 3M5

e-mail: ayal.schaffer@swchsc.on.ca


1 | 2



CJP Archives in English | Archives RCP en français
Supplements and Position Paper Inserts |
Lignes directrices cliniques, énoncés de principe et communiqués
Author Index to 2002 | Index RCP des auteurs 2002
Subject Index to 2002 | Index RCP des sujets 2002
Information for Contributors | Information à l'intention des auteurs
Style Notes for Contributors
Subscription Rates | Prix d'abonnements
Advertising Rates | Tarifs publicitaires
CPA Home | Page d'accueil