Age, stress, and emotional complexity: Results from two studies of daily experiences.

社会情感选择理论 心理学 压力源 发展心理学 情感(语言学) 相关性 操作化 消极情绪 压力(语言学) 负相关 临床心理学 医学 哲学 语言学 几何学 数学 沟通 认识论 内科学
作者
Stacey Scott,Martin J. Sliwinski,Jacqueline Mogle,David M. Almeida
出处
期刊:Psychology and Aging [American Psychological Association]
卷期号:29 (3): 577-587 被引量:57
标识
DOI:10.1037/a0037282
摘要

Experiencing positive and negative emotions together (i.e., co-occurrence) has been described as a marker of positive adaptation during stress and a strength of socio-emotional aging.Using data from daily diary (N=2,022; ages 33-84) and ecological momentary assessment (N=190; ages 20-80) studies, we evaluate the utility of a common operationalization of co-occurrence, the within-person correlation between positive affect (PA) and negative affect (NA).Then we test competing predictions regarding when co-occurrence will be observed and whether age differences will be present.Results indicate that the correlation is not an informative indicator of co-occurrence.Although correlations were stronger and more negative when stressors occurred (typically interpreted as lower co-occurrence), objective counts of emotion reports indicated that positive and negative emotions were more 3 to 4 times likely to co-occur when stressors were reported.This suggests that co-occurrence reflects the extent to which negative emotions intrude on typically positive emotional states, rather than the extent to which people maintain positive emotions during stress.The variances of both PA and NA increased at stressor reports, indicating that individuals reported a broader not narrower range of emotion during stress.Finally, older age was associated with less variability in NA and a lower likelihood of co-occurring positive and negative emotions.In sum, these findings cast doubt on the utility of the PA-NA correlation as an index of emotional co-occurrence, and question notion that greater emotional cooccurrence represents either a typical or adaptive emotional state in adults.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
徐梓睿发布了新的文献求助10
刚刚
刚刚
Domenica发布了新的文献求助10
1秒前
zyy0648完成签到,获得积分10
1秒前
1秒前
2秒前
舒服的婷冉完成签到 ,获得积分10
2秒前
Dimple发布了新的文献求助10
3秒前
英勇星月完成签到 ,获得积分10
4秒前
Peggy完成签到,获得积分10
4秒前
6秒前
orixero应助小灯采纳,获得10
7秒前
Aypnia完成签到,获得积分10
7秒前
8秒前
泠鸢应助yangy801017采纳,获得10
9秒前
田様应助小城故事和冰雨采纳,获得10
9秒前
qqqxl完成签到 ,获得积分10
9秒前
金岁岁完成签到 ,获得积分10
10秒前
阳光总在风雨后完成签到,获得积分10
10秒前
方舟完成签到,获得积分10
12秒前
称心的蛟凤完成签到,获得积分10
13秒前
14秒前
huanhuan完成签到 ,获得积分10
15秒前
17秒前
19秒前
19秒前
en完成签到,获得积分10
19秒前
暴躁的嘉懿完成签到,获得积分10
19秒前
22秒前
lan兰完成签到,获得积分10
22秒前
23秒前
小二郎应助科研通管家采纳,获得10
23秒前
lizishu应助科研通管家采纳,获得20
23秒前
23秒前
科研通AI2S应助科研通管家采纳,获得10
23秒前
CodeCraft应助科研通管家采纳,获得10
23秒前
lizishu应助科研通管家采纳,获得20
23秒前
lizishu应助科研通管家采纳,获得20
24秒前
唠叨的代真完成签到,获得积分10
24秒前
小天应助科研通管家采纳,获得10
24秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6359404
求助须知:如何正确求助?哪些是违规求助? 8173338
关于积分的说明 17214178
捐赠科研通 5414494
什么是DOI,文献DOI怎么找? 2865441
邀请新用户注册赠送积分活动 1842823
关于科研通互助平台的介绍 1691023