DIGITAL LIFESTYLES AND SOCIAL OUTCOMES: A CROSS-SECTIONAL ANALYSIS OF SOCIAL MEDIA USAGE PATTERNS
DOI:
https://doi.org/10.69980/hdcyr628Abstract
The study examines the relationship between digital lifestyles and social outcomes, focusing on how social media usage patterns influence psychological well-being and social behavior. Using a quantitative cross-sectional design and secondary data from a Kaggle dataset (N = 705), the study analyzes key variables including daily usage duration, sleep patterns, mental health, social conflicts, and addiction levels. Descriptive statistics, correlation analysis, and multiple regression models were employed to assess associations and predictive relationships. The findings reveal that higher social media usage is significantly associated with increased addiction (β = 0.066, p < 0.01), greater interpersonal conflicts (β = 0.487, p < 0.001), and negative academic impact (β = 0.596, p < 0.001), while showing strong negative relationships with sleep duration (β = -0.174, p < 0.001) and mental health (β = -0.585, p < 0.001). A secondary model confirms that excessive usage and conflict significantly reduce mental health, whereas adequate sleep improves it. The study contributes to digital sociology by providing an integrated framework linking usage patterns with multidimensional social outcomes. The results highlight the importance of balanced digital engagement and inform policy and educational strategies aimed at promoting digital well-being.
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