Effect of daily variation in weather and sleep on seasonal affective disorder

Albert, Paul S.; Rosen, Leora N.; Alexander, Joseph R.; Rosenthal, Norman E.

doi:10.1016/0165-1781(91)90117-8

Cited by 35 publications

(18 citation statements)

References 14 publications

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“…Results have been more suggestive when studying specific illnesses (schizophrenia, mania, etc.) rather than complex dimensions like service utilisation (Albert et al 1991;Peck 1990;Salib and Sharp 2002;Summers and Shur 1992). San Gil, a psychiatrist and meteorologist, published results confirming an association between clinical cases treated at emergency services and weather conditions (San Gil et al 1988Gil et al , 1994.…”

Section: Introductionmentioning

confidence: 92%

Panic anxiety, under the weather?

Bulbena¹,

Pailhez²,

Aceña³

et al. 2004

Int J Biometeorol

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The relationship between weather conditions and psychiatric disorders has been a continuous subject of speculation due to contradictory findings. This study attempts to further clarify this relationship by focussing on specific conditions such as panic attacks and non-panic anxiety in relation to specific meteorological variables. All psychiatric emergencies attended at a general hospital in Barcelona (Spain) during 2002 with anxiety as main complaint were classified as panic or non-panic anxiety according to strict independent and retrospective criteria. Both groups were assessed and compared with meteorological data (wind speed and direction, daily rainfall, temperature, humidity and solar radiation). Seasons and weekend days were also included as independent variables. Non-parametric statistics were used throughout since most variables do not follow a normal distribution. Logistic regression models were applied to predict days with and without the clinical condition. Episodes of panic were three times more common with the poniente wind (hot wind), twice less often with rainfall, and one and a half times more common in autumn than in other seasons. These three trends (hot wind, rainfall and autumn) were accumulative for panic episodes in a logistic regression formula. Significant reduction of episodes on weekends was found only for non-panic episodes. Panic attacks, unlike other anxiety episodes, in a psychiatric emergency department in Barcelona seem to show significant meteorotropism. Assessing specific disorders instead of overall emergencies or other variables of a more general quality could shed new light on the relationship between weather conditions and behaviour.

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Section: Introductionmentioning

confidence: 92%

Panic anxiety, under the weather?

Bulbena¹,

Pailhez²,

Aceña³

et al. 2004

Int J Biometeorol

View full text Add to dashboard Cite

show abstract

“…The role of weather on mood (Goldstein, 1972;Jorgenson, 1981;Sanders and Brizzolara, 1982;Howarth and Hoffman, 1984;Albert et al, 1991) and consumer behavior (Cunningham, 1979;Schneider et al, 1980;Parsons, 2001) has been extensively studied but the impact of actual weather and the value of weather information to business and commercial activities has been largely ignored (see a survey of European corporate treasurers in Bertrand and Sinclair-Desgagné, 2012).…”

Section: Introductionmentioning

confidence: 99%

Assessing and hedging the cost of unseasonal weather: Case of the apparel sector

Bertrand

Brusset

Fortin

2015

European Journal of Operational Research

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“…Weather observations have long been incorporated into statistical models to explain various outputs. Notably, the role of weather on mood has been extensively studied (Goldstein, 1972; Jorgenson, 1981; Sanders and Brizzolara, 1982; Howarth and Hoffman, 1984; Albert et al, 1991), as has its effects on consumer behavior (Cunningham, 1979; Schneider et al, 1980; Parsons, 2001).…”

Section: Literature Reviewmentioning

confidence: 99%

Hedging weather risk and coordinating supply chains

Brusset

Bertrand

2018

J of Ops Management

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The sales of many products can be influenced by weather conditions, positively or negatively. For the manufacturers in question, one of their entrepreneurial risks is to incur lower than expected sales because of adverse weather conditions. The variability of weather conditions is expected to continue to rise because of climate change. Manufacturers can choose to do nothing and suffer the financial consequences, or transfer the weather risk partly or wholly to others. This paper presents an approach to transfer weather risks to risk takers and reduce sales volatility using weather index‐based financial instruments. In our approach, the risk of adverse weather conditions is calculated on the basis of adverse conditions observed in the past. We do not use forecasts of weather conditions. We illustrate our action design with case studies of three companies: a company manufacturing automotive replacement parts, a clothing company and a company producing of sunscreen products. We demonstrate its efficiency in reducing cash‐flow uncertainty and potential losses caused by adverse weather, and in influencing sales to the next tier.

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Effect of daily variation in weather and sleep on seasonal affective disorder

Cited by 35 publications

References 14 publications

Panic anxiety, under the weather?

Panic anxiety, under the weather?

Assessing and hedging the cost of unseasonal weather: Case of the apparel sector

Hedging weather risk and coordinating supply chains

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