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Female gender but not season of birth is associated with mood seasonality in a near-equatorial Brazilian city

机译:在接近赤道的巴西城市,女性性别与出生季节无关,与情绪季节性相关

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OBJECTIVE: Studies conducted mainly in countries located in the Northern Hemisphere have shown that season of birth influences mood seasonality. Greater mood seasonality has been observed for individuals born during spring/summer months than those born during autumn/winter months. Expanding past research to the Southern Hemisphere, in this study we examine the influence of season of birth on mood seasonality in a sample of 1,247 healthy young Brazilians. METHOD: The Seasonal Pattern Assessment Questionnaire was used to compute a global seasonality score as a measure of mood seasonality in a cross-sectional study. RESULTS: Analysis of covariance was conducted to examine the effects of month of birth and gender on mood seasonality, with age entered as a covariate. A main effect of gender was observed, F (1, 1197) = 17.86, p < .01; partial Eta-squared = .02, with mood seasonality being higher for females (M = 8) than for males (M = 7). Contradicting previous findings, no significant main effect for month of birth was observed, F (1, 1197) = 0.65, p .05. CONCLUSION: The unexpected finding is tentatively explained by differences in geographic location and weather fluctuations between the sampling location in Brazil and other countries where season of birth has been found to influence mood seasonality. Additional studies with larger samples from the Southern Hemisphere are necessary to shed additional light on the possible significant influence of season of birth on mood.
机译:目的:主要在北半球国家进行的研究表明,出生季节会影响情绪的季节性。在春季/夏季月份出生的人比秋季/冬季月份出生的人的情绪季节性更大。将过去的研究扩展到南半球,在这项研究中,我们在1247名健康的年轻巴西人样本中研究了出生季节对情绪季节性的影响。方法:在横断面研究中,使用季节性模式评估问卷来计算总体季节性得分,以衡量情绪季节性。结果:进行协方差分析以检查出生月份和性别对情绪季节性的影响,并以年龄作为协变量。观察到性别的主要影响,F(1,1197)= 17.86,p <.01;部分Eta平方= .02,女性(M = 8)的情绪季节性高于男性(M = 7)。与先前的发现相反,未观察到出生月份的重大影响,F(1,1197)= 0.65,p> .05。结论:该意外发现暂时由巴西和其他发现出生季节影响情绪季节性的国家/地区的采样地点之间的地理位置和天气波动的差异来解释。为了进一步了解出生季节对情绪的重大影响,有必要对南半球的较大样本进行更多研究。

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