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. 2022 Nov 30;18(4):357-368.
doi: 10.5964/ejop.5343. eCollection 2022 Nov.

Internet Behavior and Satisfaction With Sleep, Health, Quality of Life and Physical Activity Self-Efficacy as Components of Subjective Well-Being: Findings From an Online Survey

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Internet Behavior and Satisfaction With Sleep, Health, Quality of Life and Physical Activity Self-Efficacy as Components of Subjective Well-Being: Findings From an Online Survey

Endi Guza et al. Eur J Psychol. .

Abstract

This study aimed to examine the relationship between internet use (constructive and health-related internet behavior, health app usages), physical activity self-efficacy, and subjective well-being (quality of life, health satisfaction, sleep satisfaction). Participants (N = 758) were recruited to participate in an online survey. One-way MANOVA and multiple regression analyses were used to examine the hypotheses. Results showed that internet use was negatively associated with sleep satisfaction, r(738) = -.127, p < .001. Individuals who use health-related apps for movement/fitness, t(689.900) = -3.354, p < .001, nutrition, t(300.075) = -2.434, p = .016, information for self-diagnosis, t(199.768) = -2.321, p = .021, and contact with doctors, t(90.630) = -2.035, p = .045, have higher PA self-efficacy than those who do not. Overall, there was a statistically significant difference in subjective well-being based on a participants' constructive internet use, F(28, 2590) = 1.97, p = .002, with quality of life (p = .006) and sleep satisfaction (p = .025) being statistically significant components of subjective well-being. This paper discusses the important theoretical and practical implications regarding the development of health-related apps and online well-being interventions which are significantly relevant to the well-being literature.

Keywords: health-related apps; internet use; online behavior; physical activity; subjective well-being.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Figure 1
Figure 1. Percentage of App Users for Each Health-Related App
Note. Multiple answers could be given by each participant for the use of health apps.

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