Positivity level predicts better health and mental health among adults

Shazeen Qamar, N. Yaqoob
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Abstract

The aim of this study is to predict positivity impact on mental health and overall health of adult students. Objective of study: To explore the relationship between adult positivity connection with mental health. Predict the relationship between positive behaviour and its impact on mental health in adults. Check significance gender difference of adult positivity as a predictor of better health and mental health. Research Design: In this study, a correlational research design was employed. Sampling Techniques: The sample was taken using by purposive sampling technique. Sample: The sample (N=200; 100 males, 100 females) of the study includes Government and private university students from the city of Faisalabad. Participants in the study ranged in age from 18 to 35 years old. Tool: A reliable tool of positivity, Rosenberg self-esteem, life satisfaction and BBC subjective well-being scales have used to measure the variables. Statistically analyse: The data have statistically analyse descriptive statistics, correlation, independent sample T-test, and regression run by using the SPSS software, to test the hypothesis of the study. Results: The Statistical Package for Social Sciences was used to analyse the data (SPSS, V 12.0). For the analysis, a significance level of 0.05, 0.01 was employed.
积极水平预示着成年人的健康和心理健康状况更好
本研究旨在探讨积极心态对成人学生心理健康及整体健康的影响。研究目的:探讨成人积极联结与心理健康的关系。预测积极行为与其对成人心理健康的影响之间的关系。检验成人积极情绪作为健康和心理健康预测因子的显著性性别差异。研究设计:本研究采用相关研究设计。抽样方法:采用有目的抽样方法。样本:样本(N=200;研究对象包括来自费萨拉巴德市的公立大学和私立大学的学生(男女各100人)。研究参与者的年龄从18岁到35岁不等。工具:一个可靠的工具,积极,罗森博格自尊,生活满意度和BBC主观幸福感量表被用来测量变量。统计分析:采用SPSS软件对数据进行描述性统计、相关性、独立样本t检验、回归等统计分析,检验研究的假设。结果:使用社会科学统计软件包(SPSS, v12.0)对数据进行分析。分析采用显著性水平0.05、0.01。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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