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Patterns of depressed mood across the menopausal transition: approaches to studying patterns in longitudinal data
Author(s) -
Woods Nancy Fugate,
Mariella Anne,
Mitchell Ellen Sullivan
Publication year - 2002
Publication title -
acta obstetricia et gynecologica scandinavica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.401
H-Index - 102
eISSN - 1600-0412
pISSN - 0001-6349
DOI - 10.1034/j.1600-0412.2002.810708.x
Subject(s) - mood , depressed mood , depression (economics) , clinical psychology , affect (linguistics) , transition (genetics) , medicine , longitudinal data , stressor , psychology , psychiatry , developmental psychology , demography , biochemistry , chemistry , communication , sociology , gene , economics , macroeconomics
To date many researchers have focused on depression as a discrete episode, attempting to relate its occurrence to a transition in menopausal stage or other factors that might account for its occurrence. Characterizing change over time requires consideration of pattern or trajectory, not merely discrete events. The purposes of this paper are to: 1) to explore methods for intraindividual and interindividual (group) analysis of patterns of depressed mood among midlife women 2) to identify challenges for analytic strategies for understanding depressed mood as it is experienced by midlife women, with special concern for its relationship to the menopausal transition. Data from the Seattle Midlife Women's Health Study were used to illustrate approaches to intraindividual and interindividual analysis of patterns of depressed mood. For most women, menopausal transition was not a time when there was a new episode of depression. Instead, a minority of women showed evidence of becoming depressed once the transition had begun. The most prevalent pattern was that of non‐depressed mood across the years of the menopausal transition. Association of several factors with a pattern of depressed mood included life stressors, perceived poor health, and vasomotor symptoms.

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