Seasonal Differences of Depression in Mental Hospital Admissions as Measured by the MMPI

Cerbus, George; Dallara, Robert F.

doi:10.2466/pr0.1975.36.3.737

Cited by 10 publications

(3 citation statements)

References 4 publications

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“…(2013), all were registry studies. Six of them (Cerbus and Dallara, 1975; Christensen and Dowrick, 1983; Posternak and Zimmerman, 2002; Belleville et al ., 2013; Holloway and Evans, 2014) found no indications of seasonality, including Sato et al . (2006) that found no overall association, but higher rates of prescriptions for major depressive episode in spring among individuals with unipolar depression without depressed mixed states, and in autumn for bipolar and unipolar individuals with depressed mixed states.…”

Section: Resultsmentioning

confidence: 99%

Seasonality and symptoms of depression: A systematic review of the literature

Øverland

Woicik

Sikora

et al. 2019

Epidemiol Psychiatr Sci

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Aims Lay opinions and published papers alike suggest mood varies with the seasons, commonly framed as higher rates of depression mood in winter. Memory and confirmation bias may have influenced previous studies. We therefore systematically searched for and reviewed studies on the topic, but excluded study designs where explicit referrals to seasonality were included in questions, interviews or data collection. Methods Systematic literature search in Cochrane database, DARE, Medline, Embase, PsychINFO and CINAHL, reporting according to the PRISMA framework, and study quality assessment using the Newcastle-Ottawa scale. Two authors independently assessed each study for inclusion and quality assessment. Due to large heterogeneity, we used a descriptive review of the studies. Results Among the 41 included studies, there was great heterogeneity in regards to included symptoms and disorder definitions, operationalisation and measurement. We also observed important heterogeneity in how definitions of ‘seasons’ as well as study design, reporting and quality. This heterogeneity precluded meta-analysis and publication bias analysis. Thirteen of the studies suggested more depression in winter. The remaining studies suggested no seasonal pattern, seasonality outside winter, or inconclusive results. Conclusions The results of this review suggest that the research field of seasonal variations in mood disorders is fragmented, and important questions remain unanswered. There is some support for seasonal variation in clinical depression, but our results contest a general population shift towards lower mood and more sub-threshold symptoms at regular intervals throughout the year. We suggest future research on this issue should be aware of potential bias by design and take into account other biological and behavioural seasonal changes that may nullify or exacerbate any impact on mood.

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Section: Resultsmentioning

confidence: 99%

Seasonality and symptoms of depression: A systematic review of the literature

Øverland

Woicik

Sikora

et al. 2019

Epidemiol Psychiatr Sci

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“…Changes in the environment have also been linked to other antisocial behavioral tendencies (Friedman & Becker, 1965;Cerbus & Dallara, 1975;Banziger & Owens, 1978;Raps & Stoupel, 1992;Barker et al, 1994;Stoupel, 1999;Yan, 2000;Rotton, 2001). It has been reported that suicide increases with rises in barometric pressure and decreases in wind, drug addiction increases with greater changes in warm and cold fronts, and psychiatric admissions increase with warmer ambient temperatures.…”

Section: Weather and Human Behaviormentioning

confidence: 93%

Weathering the preschool environment: affect moderates the relations between meteorology and preschool behaviors

Lagacé‐Séguin¹,

d’Entremont²

2005

Early Child Development and Care

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“…Many studies examining seasonal fluctuations in depressive symptoms have used the season of hospital admission as the dependent measure (Cerbus and Dallara, 1975;Eastwood and Stiasny, 1978;Szabo and Terre Blanche, 1995;Suhail and Cochrane, 1998). Others have examined how frequency of suicide deaths fluctuates throughout the year (Zung and Green, 1974).…”

mentioning

confidence: 99%

Seasonal Variation of Depression and Other Moods: A Longitudinal Approach

Harmatz¹,

Well²,

Overtree³

et al. 2000

J Biol Rhythms

156

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The present study examined the effect of season of the year on depression and other moods. Previous work, primarily cross sectional or retrospective in design and involving clinically depressed or seasonally affective disordered samples, has suggested that mood changes as a function of season. However, the literature also shows conflicting and/or inconsistent findings about the extent and nature of this relationship. Importantly, these prior studies have not adequately answered the question of whether there is a seasonal effect in nondepressed people. The present study employed a longitudinal design and a large sample drawn from a normal population. The results, based on those participants for whom mood measures were collected in each season, demonstrated strong seasonal effects. Beck Depression Inventory (BDI) scores were highest in winter and lowest in summer. Ratings on scales of hostility, anger, irritability, and anxiety also showed very strong seasonal effects. Further analyses revealed that seasonal variation in BDI scores differed for females and males. Females had higher BDI scores that showed strong seasonal variation, whereas males had lower BDI scores that did not vary significantly across season of the year.

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Seasonal Differences of Depression in Mental Hospital Admissions as Measured by the MMPI

Abstract: In 160 new hospital admissions, depression as measured by the MMPI was significantly lower in summer than in each of the other seasons.

Cited by 10 publications

References 4 publications

Seasonality and symptoms of depression: A systematic review of the literature

Seasonality and symptoms of depression: A systematic review of the literature

Weathering the preschool environment: affect moderates the relations between meteorology and preschool behaviors

Seasonal Variation of Depression and Other Moods: A Longitudinal Approach

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