Literature DB >> 2789026

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

S Kasper1, T A Wehr, J J Bartko, P A Gaist, N E Rosenthal.   

Abstract

Patterns of seasonal changes in mood and behavior in Montgomery County, Maryland, were evaluated in randomly selected household samples by lay interviewers using a telephone version of the Seasonal Pattern Assessment Questionnaire. The method for selecting the sample unit was random-digit dialing. We found that 92% of the survey subjects noticed seasonal changes of mood and behavior to varying degrees. For 27% of the sample seasonal changes were a problem and 4.3% to 10% of subjects, depending on the case-finding definition, rated a degree of seasonal impairment equivalent to that of patients with seasonal affective disorder. The seasonal pattern of "feeling worst" exhibited a bimodal distribution with a greater winter and a substantially lower summer peak (ratio, 4.5:1). Younger women who have a problem with seasonal changes and who feel worse on short days tended to exhibit the highest seasonality scores. It is apparent from our study that seasonal affective disorder represents the extreme end of the spectrum of seasonality that affects a large percentage of the general population. The influence of environmental factors on mood disorders and mood changes in the general population might provide valuable insight into pathogenesis, treatment, and prevention of affective illness.

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Year:  1989        PMID: 2789026     DOI: 10.1001/archpsyc.1989.01810090065010

Source DB:  PubMed          Journal:  Arch Gen Psychiatry        ISSN: 0003-990X


  90 in total

1.  Photoperiod is associated with hippocampal volume in a large community sample.

Authors:  Megan A Miller; Regina L Leckie; Shannon D Donofry; Peter J Gianaros; Kirk I Erickson; Stephen B Manuck; Kathryn A Roecklein
Journal:  Hippocampus       Date:  2015-01-20       Impact factor: 3.899

2.  Seasonal changes in affective state in samples of Asian and white women.

Authors:  K Suhail; R Cochrane
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  1997-04       Impact factor: 4.328

3.  Seasonality in human sleep.

Authors:  M Kohsaka; N Fukuda; K Honma; S Honma; N Morita
Journal:  Experientia       Date:  1992-03-15

4.  Seasonal affective disorder: an overview and update.

Authors:  Kathryn A Roecklein; Kelly J Rohan
Journal:  Psychiatry (Edgmont)       Date:  2005-01

5.  Prevalence and correlates of binge eating in seasonal affective disorder.

Authors:  Shannon D Donofry; Kathryn A Roecklein; Kelly J Rohan; Jennifer E Wildes; Marissa L Kamarck
Journal:  Psychiatry Res       Date:  2014-03-15       Impact factor: 3.222

6.  Mood-worsening with high-pollen-counts and seasonality: a preliminary report.

Authors:  Alvaro Guzman; Leonardo H Tonelli; Darryl Roberts; John W Stiller; Michael A Jackson; Joseph J Soriano; Samina Yousufi; Kelly J Rohan; Hirsh Komarow; Teodor T Postolache
Journal:  J Affect Disord       Date:  2007-01-12       Impact factor: 4.839

Review 7.  How the cerebral serotonin homeostasis predicts environmental changes: a model to explain seasonal changes of brain 5-HTT as intermediate phenotype of the 5-HTTLPR.

Authors:  Jan Kalbitzer; Urs Kalbitzer; Gitte Moos Knudsen; Paul Cumming; Andreas Heinz
Journal:  Psychopharmacology (Berl)       Date:  2013-10-23       Impact factor: 4.530

8.  Seasonality of blood neopterin levels in the Old Order Amish.

Authors:  Hira Mohyuddin; Polymnia Georgiou; Abhishek Wadhawan; Melanie L Daue; Lisa A Brenner; Claudia Gragnoli; Erika F H Saunders; Dietmar Fuchs; Christopher A Lowry; Teodor T Postolache
Journal:  Pteridines       Date:  2017-12-02       Impact factor: 0.581

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

Authors:  Haomiao Jia; Erica I Lubetkin
Journal:  Public Health Rep       Date:  2009 Sep-Oct       Impact factor: 2.792

10.  Suppression of voluntary ethanol intake in mice under constant light and constant darkness.

Authors:  Alan M Rosenwasser; Walter D McCulley; Matthew C Hartmann; Michael C Fixaris; John C Crabbe
Journal:  Alcohol       Date:  2019-06-05       Impact factor: 2.405

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