Self-disclosure, mindfulness, and their relationships with happiness and well-being

Author:

Aldahadha BasimORCID

Abstract

Abstract Background This study aims to test how self-disclosure relates to mindfulness, whether self-disclosure or mindfulness best predicts happiness and well-being, and whether there are significant differences between happiness and well-being levels due to self-disclosure and mindfulness. Data from a public sample was collected using e-mails and social media platforms (N = 486). Results The findings demonstrated a weak relationship between mindfulness and self-disclosure (r = 0.16) and acting with awareness but a strong relationship between happiness, wellness, mindfulness, and its factors. The results revealed four values that predict the differentiation between happy and unhappy people, and these values are statistically significant, namely, mindfulness, description, acceptance without judgment, and self-disclosure, as well as four values that predict the distinction between being well and unwell, namely mindfulness, observation, description, and self-disclosure. Additionally, results showed significant differences in the means of each of the mindfulness predictor variables in favor of happiness, wellness, and females. For the self-disclosure variable, the results showed differences in its means favoring females, happiness, and wellness. Finally, when controlling for gender and age, regression analyses found mindfulness to be an important predictor for happiness and well-being at 59% and 48% of the variance, respectively, while self-disclosure was a weak predictor at 12% and 15%, respectively. Conclusions In general, the results indicate that mindfulness is more effective and beneficial for living a happy and healthy life than self-disclosure

Funder

The research leading to these results has received funding from Mutah University.

Publisher

Springer Science and Business Media LLC

Subject

Psychiatry and Mental health

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3