Literature DB >> 9130867

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

K Suhail1, R Cochrane.   

Abstract

Seasonality of the affective state has been reported to vary in direct proportion to latitude in temperate regions. The frequency of seasonal affective disorder (SAD) and the severity of the symptoms associated with it have been reported to be greater in higher than in lower latitudes. In addition, recent research has suggested a genetic loading for SAD. Most of the research on the seasonality of affect has been done in high latitude areas, seasonal mood cycles have been infrequently investigated in tropical areas, and no study has so far measured and compared seasonal changes in affect and behaviour in indigenous and populations non-indigenous to high latitudes. To rule out the biases associated with retrospective designs, a prospective longitudinal study was designed to investigate seasonal mood variations in indigenous white and non-indigenous Asian populations. Since previous research has indicated the excessive vulnerability of women to winter depression, it was decided to measure seasonality of the affective state only in women. To examine the relative effects of genetic predispositions and physical environment, the Asian group was further divided into "Asian" and "Asian-British". The former group comprised women who were living in England but who had been born and had spent considerably more time in their country of origin, while the latter group consisted of women who were born in England and who had lived there all their lives. The three groups of 25 women each were matched for age and socio-economic status, and were interviewed every month for 1 year using the Hospital Anxiety and Depression Scale (HAD), a Behavioural Change Inventory (BCI), the Ladder Scale of General Well-being (LSW) and a Monthly Stress Inventory (MSI). One retrospective scale was administered at the end of the study year to compare the extent of seasonal change in affect with that on the HAD-depression subscale. The results showed that seasonal depression peaked in winter in all three groups, with the incidence of winter depression being highest in the Asian group. Seasonal changes on several dimensions of behaviour were in the direction of winter depression for all three groups. States other than depression (anxiety and general well-being) did not show any seasonal variation. Hours of daylight was found to be the best predictor of seasonal variation in mood among environmental and psychosocial variables. There was no evidence to support a genetic hypothesis for SAD.

Entities:  

Mesh:

Year:  1997        PMID: 9130867     DOI: 10.1007/bf00794614

Source DB:  PubMed          Journal:  Soc Psychiatry Psychiatr Epidemiol        ISSN: 0933-7954            Impact factor:   4.328


  39 in total

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

Authors:  S Kasper; T A Wehr; J J Bartko; P A Gaist; N E Rosenthal
Journal:  Arch Gen Psychiatry       Date:  1989-09

2.  Seasonal affective disorder: prevalence varies with latitude and climate.

Authors:  S G Potkin; M Zetin; V Stamenkovic; D Kripke; W E Bunney
Journal:  Clin Neuropharmacol       Date:  1986       Impact factor: 1.592

3.  Phototherapy and its mechanisms of action in seasonal affective disorder.

Authors:  G Isaacs; D S Stainer; T E Sensky; S Moor; C Thompson
Journal:  J Affect Disord       Date:  1988 Jan-Feb       Impact factor: 4.839

4.  Seasonal variations of current symptoms in a healthy population.

Authors:  D Schlager; J E Schwartz; E J Bromet
Journal:  Br J Psychiatry       Date:  1993-09       Impact factor: 9.319

5.  Mental distress during winter. An epidemiologic study of 7759 adults north of Arctic Circle.

Authors:  V Hansen; B K Jacobsen; R Husby
Journal:  Acta Psychiatr Scand       Date:  1991-08       Impact factor: 6.392

6.  Seasonal affective disorder. A description of the syndrome and preliminary findings with light therapy.

Authors:  N E Rosenthal; D A Sack; J C Gillin; A J Lewy; F K Goodwin; Y Davenport; P S Mueller; D A Newsome; T A Wehr
Journal:  Arch Gen Psychiatry       Date:  1984-01

7.  Seasonal mood variation among Japanese residents of Stockholm.

Authors:  S Murase; S Murase; M Kitabatake; T Yamauchi; A A Mathé
Journal:  Acta Psychiatr Scand       Date:  1995-07       Impact factor: 6.392

8.  Evaluation of seasonality in six clinical populations and two normal populations.

Authors:  T A Hardin; T A Wehr; T Brewerton; S Kasper; W Berrettini; J Rabkin; N E Rosenthal
Journal:  J Psychiatr Res       Date:  1991       Impact factor: 4.791

9.  Phototherapy in nonseasonal depression.

Authors:  A Mackert; H P Volz; R D Stieglitz; B Müller-Oerlinghausen
Journal:  Biol Psychiatry       Date:  1991-08-01       Impact factor: 13.382

10.  Light treatment in seasonal and nonseasonal depression.

Authors:  B E Thalén; B F Kjellman; L Mørkrid; R Wibom; L Wetterberg
Journal:  Acta Psychiatr Scand       Date:  1995-05       Impact factor: 6.392

View more
  6 in total

1.  A cross-sectional study of retrospectively reported seasonality in native and non-native residents of Chukotka and Turkmenistan.

Authors:  Arcady A Putilov
Journal:  Int J Occup Environ Health       Date:  2018-07-27

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

Authors:  Ryan M Kuehner; Dipika Vaswani; Uttam K Raheja; Aamar Sleemi; Hassaan Yousufi; Hira Mohyuddin; Nadine Postolache; Gagan Virk Nijjar; Teodor T Postolache
Journal:  Int J Disabil Hum Dev       Date:  2013-02

3.  Seasonality in mood and behaviours of Japanese residents in high-latitude regions: transnational cross-sectional study.

Authors:  Yumiko Kurata; Shuhei Izawa; Shinobu Nomura
Journal:  Biopsychosoc Med       Date:  2016-12-05

4.  Brainstem volume mediates seasonal variation in depressive symptoms: A cross sectional study in the UK Biobank cohort.

Authors:  Naif A Majrashi; Trevor S Ahearn; Gordon D Waiter
Journal:  Sci Rep       Date:  2020-02-27       Impact factor: 4.379

Review 5.  The darkness and the light: diurnal rodent models for seasonal affective disorder.

Authors:  Anusha Shankar; Cory T Williams
Journal:  Dis Model Mech       Date:  2021-01-26       Impact factor: 5.758

6.  Seasonal affective disorder and engagement in physical activities among adults in Alaska.

Authors:  Elaine M Drew; Bridget L Hanson; Kevin Huo
Journal:  Int J Circumpolar Health       Date:  2021-12       Impact factor: 1.228

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.