Suppr超能文献

一种针对情绪与天气之间关系的多维研究方法。

A multidimensional approach to the relationship between mood and weather.

作者信息

Howarth E, Hoffman M S

出版信息

Br J Psychol. 1984 Feb;75 ( Pt 1):15-23. doi: 10.1111/j.2044-8295.1984.tb02785.x.

Abstract

Ten mood variables were related to eight weather variables in a multidimensional study. Data were collected from 24 male subjects over 11 consecutive days. The mood variables were as follows: concentration, cooperation, anxiety, potency, aggression, depression, sleepiness, scepticism, control, and optimism. The weather variables included: hours of sunshine, precipitation, temperature, wind direction, wind velocity, humidity, change in barometric pressure and absolute barometric pressure. Humidity, temperature and hours of sunshine had the greatest effect on mood. High levels of humidity lowered scores on concentration while increasing reports of sleepiness. Rising temperatures lowered anxiety and scepticism mood scores. Humidity was the most significant predictor in regression and canonical correlation analysis. Implications for school and office performance are discussed which highlight the importance of humidity as a weather variable.

摘要

在一项多维研究中,十种情绪变量与八种天气变量相关。连续11天从24名男性受试者收集数据。情绪变量如下:注意力、合作性、焦虑、力量感、攻击性、抑郁、嗜睡、怀疑、控制力和乐观度。天气变量包括:日照时长、降水量、温度、风向、风速、湿度、气压变化和绝对气压。湿度、温度和日照时长对情绪影响最大。高湿度会降低注意力得分,同时增加嗜睡报告。气温上升会降低焦虑和怀疑情绪得分。在回归分析和典型相关分析中,湿度是最显著的预测因子。讨论了对学校和办公表现的影响,强调了湿度作为一个天气变量的重要性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验