Seasonality of three dimensions of mania: Psychosis, aggression and suicidality

Volpe, Fernando Madalena; Tavares, Agostinho; Porto, José Alberto Del

doi:10.1016/j.jad.2007.09.014

Cited by 41 publications

(28 citation statements)

References 34 publications

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“…Several studies, with different strength of evidence, showed that some associations may exist between meteorological variables and different clinical conditions such as stroke [13], myocardial infarction [14], renal colic [15], atrial fibrillation [16], asthma [17], epistaxis [18], and arthritic pain [19]. Psychiatric emergencies are also influenced by climatic variables, although with variable degrees of strength and evidence [20,21]. It has also been suggested that SP episodes seem to occur in clusters, and in this respect, a correlation between incidence of SP and meteorological variations has been put forward, but the current evidence is scarce and somewhat contradictory [22][23][24].…”

Section: Resultsmentioning

confidence: 99%

Incidence of primary spontaneous pneumothorax is not associated with microclimatic variations. Results of a seven-year survey in a temperate climate area

Comelli

Bologna

Ticinesi

et al. 2017

Monaldi Arch Chest Dis

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Some diseases, such as renal colic and atrial fibrillation, display an association with microclimatic variations. In particular, despite a correlation has been reported between incidence of primary spontaneous pneumothorax (PSP) and meteorological variations, the evidence remains poor and conflictual. The aim of this study was to assess the influence of day-by-day meteorological variations on the number of visits for PSP in the Emergency Department (ED). All PSP cases were retrieved from the hospital database from January 2008 to December 2014. For all the observational days, meteorological data about the Parma Province were obtained from the Environment and Climate Regional Agency. The correlation between ED visits for PSP and variation of air temperature (T°), atmospheric pressure (hPa) and humidity (%) was then tested. The chronological data of all the visits for PSP were correlated with climate data by univariate linear regressions analysis. A total number of 608.215 ED visits were recorded during the observational period, with an average of 238 patients per day. Overall, 257 PSP cases were observed (mean age 37±21 years), 79% males and 21% females. No significant correlation between average daily visits for PSP and daily change of average temperature, humidity, or atmospheric pressure was observed throughout the observational period (p>0.05 for all). The results of the study show that the incidence of PSP is not significantly associated with changes of microclimatic variables.

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Section: Resultsmentioning

confidence: 99%

Incidence of primary spontaneous pneumothorax is not associated with microclimatic variations. Results of a seven-year survey in a temperate climate area

Comelli

Bologna

Ticinesi

et al. 2017

Monaldi Arch Chest Dis

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“…This result underscores the higher probability of admission during the pronounced photoperiod change between spring and summer, which agrees with numerous recent studies confirming a strong seasonal pattern in bipolar disorder. [9][10][11][12][13][14][15][16]21,[34][35][36][37] This finding, in light the DSM-5's focus on seasonal pattern in bipolar disorder, prompted the following question: is seasonality really the most incisive clinical parameter for assessing the onset of bipolar disorder, or is it, rather, greater exposure to sunlight?…”

Section: Discussionmentioning

confidence: 99%

Bipolar disorders: is there an influence of seasonality or photoperiod?

Aguglia

Borsotti

Maina

2017

Rev. Bras. Psiquiatr.

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Objective: To increase understanding of the influence of photoperiod variation in patients with bipolar disorders. Methods: We followed a sample of Italian bipolar patients over a period of 24 months, focusing on inpatients. All patients admitted to the Psychiatric Inpatient Unit of San Luigi Gonzaga Hospital in Orbassano (Turin, Italy) between September 1, 2013 and August 31, 2015 were recruited. Sociodemographic and clinical data were collected. Results: Seven hundred and thirty patients were included. The admission rate for bipolar patients was significantly higher during May, June and July, when there was maximum sunlight exposure, although no seasonal pattern was found. Patients with (hypo)manic episodes were admitted more frequently during the spring and during longer photoperiods than those with major depressive episodes. Conclusions: Photoperiod is a key element in bipolar disorder, not only as an environmental factor but also as an important clinical parameter that should be considered during treatment.

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“…Also in depressive disorders implicated emotions are sadness and irritability that a humid weather usually favors (Winkler et al, 2006). Volpe et al investigated the existence of a seasonal distribution of three dimensions of mania, psychosis, aggression and suicidality, during psychiatric hospitalizations, in a Brazilian sample (Volpe et al, 2008). Psychosis was positively correlated with hours of sunshine of index month and with increasing hours of sunshine; but negatively correlated with relative humidity of index month and with difference from previous to index month.…”

Section: Discussionmentioning

confidence: 99%

“…Episodes of panic were more common with the ponente wind (hot wind) twice less often rainfall, and one and a half times more common in fall than in other seasons (Bulbena et al, 2005). Vulnerability to seasonal changes seems to be a separate dimension of bipolar disorder (Volpe et al, 2008;Volpe et al, 2010). Studies of psychiatric and community samples provide robust evidence that the occurrence of psychosis, aggression and suicide (Shiloh et al, 2005;Kaplan et al, 1996;Lee et al, 2006;Deisenhammer et al, 2003).…”

Section: Psychiatric Emergency Visits In Messinamentioning

confidence: 99%

“…Among the latter, meteorological conditions, which have been shown to have an impact on the human beings (Sulman, 1984). The literature suggests a relationship between weather conditions and affective disorders, in example mood disorders (Molin et al, 1999;Lee et al, 2007), anxiety disorders (Bulbena et al, 2005), psychosis and impulsiveness (Volpe et al, 2008;Shory et al, 2003).…”

Section: Introductionmentioning

confidence: 99%

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