Association of Social Media Addiction, Weight Perception, and Lifestyle in Mexican Nursing Students

In recent years, there has been a reported significative increase in social media addiction (SMA), associated with unhealthy lifestyle habits. To analyze the association between SMA, lifestyle, and weight perception among Mexican nursing students, a cross-sectional, correlational study was conducted among undergraduate and graduate students over 18 years old. The survey was administered via Google Forms and distributed through Facebook, WhatsApp, and Instagram from June to August 2023. Data were analyzed using descriptive statistics, correlation analysis, and a multiple linear regression model with SPSS. A total of 255 students participated, 80.0% of whom were women, and 86.2% were undergraduate students. The average social media addiction score was 25.6 (SD = 14.0). Of the participants, 49.8% reported a dangerous-to-fair lifestyle, while 50.2% reported a good-to-excellent lifestyle. Social media addiction was negatively correlated with lifestyle (rs = −0.496, p < 0.001). In the multiple linear regression model, social media addiction, perception of body weight, and students who work explained 32.5% of the lifestyle variance. Students who reported higher levels of social media addiction tended to have less healthy lifestyles. It is important to consider the detection of social media addiction and its potential long-term health implications for nursing students.

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Publication Details

Journal
Social Sciences
Published
2024-12-13
DOI
https://doi.org/10.3390/socsci13120673
Citations
2
Primary Topic
Health and Lifestyle Studies
Type
article
Field-Weighted Citation Impact
1.70
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article

Association of Social Media Addiction, Weight Perception, and Lifestyle in Mexican Nursing Students

Geu Mendoza-Catalán, Angélica Saraí Jiménez‐Osorio, J.A. García, Diego Estrada-Luna et al.
2 citations
Social Sciences
Health and Lifestyle Studies
1.70
article

Association of Social Media Addiction, Weight Perception, and Lifestyle in Mexican Nursing Students

Geu Mendoza-Catalán, Angélica Saraí Jiménez‐Osorio, J.A. García, Diego Estrada-Luna, Vanessa Patiño-Jaimes, María Camila Giraldo-Suarez
article en
2 citations

Abstract

In recent years, there has been a reported significative increase in social media addiction (SMA), associated with unhealthy lifestyle habits. To analyze the association between SMA, lifestyle, and weight perception among Mexican nursing students, a cross-sectional, correlational study was conducted among undergraduate and graduate students over 18 years old. The survey was administered via Google Forms and distributed through Facebook, WhatsApp, and Instagram from June to August 2023. Data were analyzed using descriptive statistics, correlation analysis, and a multiple linear regression model with SPSS. A total of 255 students participated, 80.0% of whom were women, and 86.2% were undergraduate students. The average social media addiction score was 25.6 (SD = 14.0). Of the participants, 49.8% reported a dangerous-to-fair lifestyle, while 50.2% reported a good-to-excellent lifestyle. Social media addiction was negatively correlated with lifestyle (rs = −0.496, p < 0.001). In the multiple linear regression model, social media addiction, perception of body weight, and students who work explained 32.5% of the lifestyle variance. Students who reported higher levels of social media addiction tended to have less healthy lifestyles. It is important to consider the detection of social media addiction and its potential long-term health implications for nursing students.

Social SciencesVol. 13(12)
Universidad Autónoma del Estado de Hidalgo (MX), Universidad Pontificia Bolivariana (CO), Corporación Universitaria Empresarial Alexander von Humboldt (CO)
Good health and well-being
Openalex Percentile: Top 13%
Health and Lifestyle Studies
1.70
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Association of Social Media Addiction, Weight Perception, and Lifestyle in Mexican Nursing Students — Geu Mendoza-Catalán, Angélica Saraí Jiménez‐Osorio, et al. · Social Sciences (2024) | TGRS Research Map | TGRS