Objective: This study was designed to examine the impact of social media addiction on healthy lifestyle beliefs in adolescents.
Method: The study is a descriptive correlational study. The study was conducted with 722 students at middle and high school levels in a city in the eastern part of Turkey. Data were collected using the Socio-Demographic Information Form, Short Form of Social Media Addiction Scale for Adolescents, Adolescent Healthy Lifestyle Belief Scale. The data were reported using numbers, percentages, means, standard values, linear and hierarchical regression.
Results: The mean age of adolescents was 14.44 ± 2.62 and their body mass index was 20.16 ± 3.72. Adolescents scored 14.43 ± 2.63 on the social media addiction scale and 55.23 ± 16.80 on the healthy lifestyle belief scale. Social media addiction explains 8.9% of the total variance in healthy lifestyle beliefs. An increase in social media addiction was found to have a statistically significant effect on healthy lifestyle beliefs. The model established for the impact of age, weight, height, and BMI added to social media addiction on healthy lifestyle beliefs was significant, and the explanatory power of the model was 11.6%.
Conclusion: It was concluded that social media addiction has an impact on healthy lifestyle beliefs in adolescents and that creating awareness, maintaining balance, promoting alternative activities, and fostering family-school cooperation are important in this regard.
Practice Implications: In order to increase healthy lifestyle beliefs in adolescents, it is necessary to reduce social media addiction levels. Nursing interventions to be implemented for this purpose are important in improving and protecting adolescent health.
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http://dx.doi.org/10.1016/j.pedn.2024.01.023 | DOI Listing |
J Med Internet Res
January 2025
Department of Industrial and Systems Engineering, The University of Florida, GAINESVILLE, FL, United States.
Background: The implementation of large language models (LLMs), such as BART (Bidirectional and Auto-Regressive Transformers) and GPT-4, has revolutionized the extraction of insights from unstructured text. These advancements have expanded into health care, allowing analysis of social media for public health insights. However, the detection of drug discontinuation events (DDEs) remains underexplored.
View Article and Find Full Text PDFEmotion
January 2025
Department of Psychology, University of Toronto, Scarborough.
With more than half the global population on social media, there is a critical need to understand how to engage it in a way that improves rather than worsens user well-being. Here, we show that positive empathy is a promising tool. Participants who received brief positive empathy instructions before 10 min of browsing their own Instagram feed showed greater affective well-being (Studies 1-4) and life satisfaction (Study 4) at posttest relative to participants who were instructed to browse as usual.
View Article and Find Full Text PDFAIDS Behav
January 2025
Rollins School of Public Health, Emory University, 1518 Clifton Rd. NE Atlanta GA, Atlanta, 30322, USA.
This study aimed to explore the awareness, willingness, and engagement with pre-exposure prophylaxis (PrEP) among high-risk Chinese men who have sex with men (MSM) and to investigate the factors influencing its use. A cross-sectional survey of 1800 HIV-negative MSM was conducted in Chengdu, Suzhou, and Wuhan between June 2022 and February 2023 through in-person and online recruitment methods. Univariate and multivariate logistic regression analyses were used to identify predictors of PrEP use.
View Article and Find Full Text PDFInt Urogynecol J
January 2025
Faculty of Health Sciences, Nursing Department, Division of Gynecology and Obstetrics Nursing, Bartın University, Bartın, Türkiye.
Introduction And Hypothesis: Health-seeking behavior is habitual among people in a society, resulting from the interaction and balance between health needs, health resources, and socioeconomic factors. This study seeks to investigate the influence of health fatalism and health-seeking behaviors on the frequency of non-medication coping strategy use among women with urinary incontinence in Türkiye.
Methods: This cross-sectional study was conducted between 8 August 2024, and 22 September 2024.
Health Technol Assess
January 2025
School of Medicine, Keele University, Keele, Staffordshire, UK.
Background: For people receiving haemodialysis, a balance has to be struck between removing sufficient but not too much fluid during a treatment session and maintaining any remaining kidney function they might have. In the BISTRO trial, this study sought to establish if getting the balance right might be improved by the additional use of bioimpedance, a device that measures body fluid composition to help decide how much fluid to remove during dialysis. Designing and executing this trial, which incorporated complex and repeated trial procedures that would be dependent on participant engagement, presented challenges that demanded effective public and patient involvement.
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