Senses, emotions and wellbeing in forest recreation and tourism

心理学 娱乐 心理健康 旅游 应用心理学 利克特量表 社会心理学 幸福 地理 发展心理学 心理治疗师 生态学 生物 考古
作者
Linsheng Zhong,Carly Campbell,Ralf Buckley,Dongfang Zhu,Hu Yu,Aliénor L. M. Chauvenet,Mary‐Ann Cooper
出处
期刊:Tourism recreation research [Informa]
卷期号:50 (4): 688-700 被引量:16
标识
DOI:10.1080/02508281.2024.2312347
摘要

Outdoor tourism can provide nature therapies. Implementation research for mental healthcare aims to establish psychological mechanisms and specify designs, doses and durations for medical trials. As one component, we tested simultaneous links from senses to emotions, and emotions to self-perceived wellbeing, for 524 tourists at 27 forest reserves in China. We used quantitative surveys, in person, with: 5-point Likert-type scales to measure links; free-text descriptions of their most memorable sensory and emotional experiences during these forest visits; and 7-item Personal Wellbeing Index (PWI) and 10-item Kessler stress index (K10) to measure mental health and wellbeing. We found that Chinese forest tourists perceive strongly (p < 0.00001) that sensory experiences drive emotions, and emotions determine wellbeing. Senses reported were: sight by 86%, sound by 36%, smell by 41%, touch by 18%, temperature by 42%, and humidity by 20%. The number of senses engaged during forest experiences ranged from 1, for 39%, to 6, for 9%. The K10 stress-reduction measure of wellbeing was significantly (p = 0.0272) but weakly (R2 = 0.009) correlated with the number of senses engaged. Future research on mechanisms for mental health benefits to outdoor tourists, and tourist choreography by tour guides and trail signs, should therefore focus on intensity of senses and emotions.
最长约 10秒,即可获得该文献文件

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
求助人员发布了新的文献求助20
刚刚
Sumia发布了新的文献求助10
刚刚
Khan发布了新的文献求助10
1秒前
JJ索完成签到,获得积分10
1秒前
朱小燕发布了新的文献求助10
1秒前
科研的光完成签到,获得积分10
2秒前
浅渊完成签到,获得积分10
2秒前
2秒前
深情雨泽发布了新的文献求助10
2秒前
无理完成签到 ,获得积分10
2秒前
2秒前
FashionBoy应助诗经采纳,获得10
2秒前
3秒前
领导范儿应助lyh采纳,获得10
3秒前
小榕完成签到,获得积分10
3秒前
3秒前
4秒前
蓝天发布了新的文献求助10
4秒前
万书发布了新的文献求助10
4秒前
5秒前
5秒前
5秒前
6秒前
CodeCraft应助甜甜友容采纳,获得10
6秒前
风秋千发布了新的文献求助10
7秒前
机智水儿发布了新的文献求助10
7秒前
麦地娜完成签到,获得积分10
8秒前
超人研究生完成签到,获得积分10
8秒前
9秒前
anzai完成签到,获得积分10
9秒前
zby发布了新的文献求助10
10秒前
11秒前
ding应助fuueer采纳,获得10
11秒前
水水水发布了新的文献求助10
11秒前
搞怪人雄发布了新的文献求助10
11秒前
vk完成签到,获得积分10
12秒前
12秒前
今后应助鳄鱼队长采纳,获得10
12秒前
13秒前
在水一方应助开朗的早晨采纳,获得10
13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
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Russian Foreign Policy: Change and Continuity 800
Real World Research, 5th Edition 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
Superabsorbent Polymers 700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5710639
求助须知:如何正确求助?哪些是违规求助? 5200300
关于积分的说明 15261682
捐赠科研通 4863272
什么是DOI,文献DOI怎么找? 2610500
邀请新用户注册赠送积分活动 1560823
关于科研通互助平台的介绍 1518430