1,721,053 research outputs found

    Seasonality and suicide in Italy: amplitude is positively related to suicide rates

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    BACKGROUND: Recent studies have reported changes in the time patterns of suicide, with conflicting findings regarding the direction of these changes: data from Italy were investigated to evaluate the influence of recent social and medicine-related changes on the seasonality of suicides in the country. METHODS: A total of 71,227 male suicides and 26,466 female suicides occurring in Italy from 1974 to 2003 were investigated with harmonic spectral analysis to extract their monthly seasonal dispersion by five-year intervals. RESULTS: The suicide rates of both males and females showed a rising trend, with an evident peak in the 1987-1994 period and a decrease thereafter. Seasonality of suicides, with a clear peak in spring as against the other seasons, accounted for a statistically significant proportion of total variance: around 40% among males and 39% among females. Seasonality did not change across time in a relevant way; however, an anticipation of the peak was observed in both males and females over time, with amplitude increasing or decreasing as a function of yearly suicide rates. LIMITATIONS: Data could not be analysed according to age or to the method of suicide, since this information was not available across the whole time interval. CONCLUSION: The seasonal effect on mortality by suicide is positively related to suicide rates, so much that changes in suicide rates over time correspond to changes in suicide seasonality

    The assessment of path linearity in swimming: a pilot study

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    The lateral-medial displacement (LF) and the overall drift from a straight path (DT) were quantified and compared in 5 top-level (TLS) and 5 low-level (LLS) crawl swimmers. Sixteen repetitions of 25-m crawl at increasing intensity were performed and videotaped. The performances were divided into 3 intensities ( 90% of maximal speed). LF was expressed as overlength Swum (OLS) and coefficient of variation (CV) of the Z-component movement. OLS revealed a significant main effect for swimmer level (p < 0.01), intensity (p < 0.01) and their interaction (0.48, 0.37, 0.31-m for TLS and 0.47, 0.43, 0.44-m for ILLS, p<0.05). CV was significantly higher in LLS at the lowest (0.69 vs. 0.22, p<0.05) and highest intensity (0.71 vs. 0.33, p < 0.05). DT, expressed as the slope of the linear regression of position data vs. time, was significantly higher in LLS only at the highest intensity (0.025 vs. 0,013, p<0.05). The amount of dissipated energy due to LF, quantified by means of discrete Fourier analysis, revealed a difference only when the 0-5 Hz and 5-10 Hz spectral windows were analysed separately. While LF has a practical significance since it contributes to increase drag, DT is negligible at least for short-distance events

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Delusional profiles among young adults: a latent class analysis of delusion proneness

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    Delusional beliefs and experiences can predict the development of mental disorders within the spectrum of psychosis. The nature, content and prevalence of delusional experiences in the general population are still disputed topics. This study investigates the latent structure of delusion proneness in the non-clinical population. Eight hundred young adults (400 from Italy and 400 from the United Kingdom) completed the Peters et al. delusions inventory, a general population measure of delusional proneness. Latent class analysis was used to explore the latent structure of delusion proneness. Four classes were identified: low delusion proneness (including 28% of the sample), grandiosity (13%), paranoid thinking (41%) and positive psychotic beliefs (18%). Latent structures of sub-clinical symptoms can be observed also in non-clinical population; paranoid thinking is the most common delusional theme

    The epidemiology of homicide in Italy by season, day of the week and time of day

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    Circadian and seasonal rhythms have an impact on the risk of violent death in humans, with more evidence available in suicide than in homicide. This study set out to investigate the pattern of deaths by homicide in Italy, taking into account the month, the day of the week and the time of day when the homicidal incident happened. Data based on official statistics on deaths by homicide (n = 3894) from 2003 to 2008 were analysed by spectral analysis and circular statistics techniques based on the Rayleigh test. Homicides showed seasonal distribution with a bimodal pattern, with summer (July and August) and winter (December and January) peaks over the other seasons. Homicides also peaked on Sundays and Mondays and were at their highest at night-time (00:00 to 5:59 hours). These rhythms in homicide victimization could be accounted for by social factors - within the framework of the routine activity theory - by psychological factors, including those leading to domestic violence, and by biological factors, including those impacting on impulse dyscontrol. The identification of risk or protective factors involved in the victim's surviving or succumbing to an assault might be important for the prevention of the worst outcome of injury at large, suicides and accidents included

    Changes in the seasonality of suicides over time in Slovenia, 1971 to 2002. Amplitude is only positively related to suicide rates among females

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    BACKGROUND: Changes in the suicide rate within one region over time had been hypothesised to correspond to changes in suicide seasonality: a recent investigation from Italy confirmed such an assumption. Data from Slovenia were investigated to further evaluate the links between suicide rates and seasonal amplitude. METHODS: A total of 14325 male suicides and 4350 female suicides occurring in Slovenia from 1971 to 2002 were investigated with harmonic spectral analysis to extract their monthly seasonal dispersion by eight-year intervals. Changes in rate over time were analysed with a test for trend based on regression analysis. RESULTS: The suicide rates of both males and females increased over time, with an evident peak in the 1987-1994 period and a decrease thereafter. Seasonality decreased across time in both sexes; however, no change of the peak was observed over time. The amplitude of the major 12-month cycle was slightly positively related to suicide rates, but the correlation was only statistically significant among females (P=0.0053; males: P=0.22). LIMITATIONS: Data could not be analysed according to age, the method of suicide, or the diagnosis attributable to the deceased, since this information was not available. CONCLUSION: The study confirmed that the seasonal effect on mortality by suicide is positively related to suicide rates, so much so that changes in suicide rates over time correspond to changes in suicide seasonality, but in Slovenia this effect was only evident among females, further pointing towards differences by sex in the mechanics leading to suicide

    Seasonality of suicide: relationship with the reason for suicide

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    AIMS: This study set out to test the hypothesis that the suicides that can be attributed to a psychiatric illness show a higher seasonality than the suicides due to any other reason. METHODS: All the suicides registered in Italy from 1984 to 2000 (57,796 deaths by suicide: males = 41,741, yearly rate = 11.3 per 100,000; females = 16,055, yearly rate = 4.0 per 100,000) were analyzed with circular statistic techniques, based on the maximization of mean vector length method and on the Rayleigh test. RESULTS: The suicides clearly attributed to a psychiatric illness were 35.0% among males and 51.3% among females. An economic reason for suicide was more frequently found among males; somatic illness or sentimental reasons were equally distributed in both sexes. The suicides attributable to a psychiatric illness showed a significantly higher seasonal unevenness than the suicides attributable to somatic illness and to sentimental or economic reasons. CONCLUSIONS: The main drawback of this study is that psychiatric diagnoses were not formally assessed by a forensic specialist. However, it succeeded in showing that the dynamics of suicidal behaviour are not unilineal: suicides due to psychiatric or somatic illness mainly happen in spring/summer and those due to economic difficulties mainly in December. Patients with psychiatric and/or somatic illness should be more carefully followed in spring/summer
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