Exercise & Training

Predictors of sedentary behaviour in adults: the role of social media addiction and physical activity - a cross-sectional study from Turkey.

TL;DR

Daily internet use was the strongest predictor of sedentary behaviour in adults, while social media addiction had a small but significant effect, and physical activity was not a significant predictor.

Key Findings

Social media addiction was weakly positively correlated with sedentary behaviour in adults.

  • Pearson correlation r = 0.294, P < 0.001
  • The correlation was characterized as 'weakly positive'
  • Sample consisted of 442 individuals aged 18-65 years living in Turkey
  • Data collected online between April and June 2025 using the Bergen Social Media Addiction Scale and Sedentary Behavior Scale

Social media addiction was negatively correlated with physical activity.

  • Pearson correlation r = -0.124, P = 0.009
  • Physical activity was measured using the International Physical Activity Questionnaire-Short Form (IPAQ-SF)
  • The negative correlation indicates higher social media addiction was associated with lower physical activity levels

No significant correlation was found between sedentary behaviour and physical activity.

  • Pearson correlation r = 0.020, P = 0.679
  • This finding suggests that sedentary behaviour and physical activity operate as largely independent constructs in this sample
  • Physical activity was not a significant predictor of sedentary behaviour in hierarchical regression analysis (ΔR2 = 0.007, P > 0.05)

Daily internet use time was the strongest predictor of sedentary behaviour in hierarchical regression analysis.

  • Daily internet use time explained an additional ΔR2 = 0.109 (P < 0.001) in variance of sedentary behaviour
  • This was the largest unique contribution of any variable block in the four-step hierarchical regression model
  • The model was built in four steps to isolate contributions of demographic, physical activity, internet use, and social media addiction variables

Social media addiction made a small but statistically significant contribution to predicting sedentary behaviour beyond other factors.

  • Social media addiction explained an additional ΔR2 = 0.007 (P < 0.05) after controlling for demographics, physical activity, and daily internet use time
  • The contribution was characterized as 'small but significant'
  • The Bergen Social Media Addiction Scale was used to measure social media addiction

Sociodemographic variables collectively explained 9.5% of the variance in sedentary behaviour.

  • Demographic variables as a block explained R2 = 0.095 (9.5%) of variance in sedentary behaviour
  • Sociodemographic factors associated with sedentary behaviour included age, gender, education, income, and employment
  • This was entered as the first step in the four-step hierarchical regression model

The study was a cross-sectional online survey conducted in Turkey with 442 volunteer adult participants.

  • Participants were aged 18-65 years and living in Turkey
  • Data collection took place between April and June 2025
  • Instruments used included a sociodemographic form, the Bergen Social Media Addiction Scale, the Sedentary Behavior Scale, and the International Physical Activity Questionnaire-Short Form (IPAQ-SF)
  • The study was described as a 'cross-sectional analytical study'

What This Means

This research suggests that among Turkish adults, spending more time on the internet each day is the single strongest behavioural predictor of how sedentary a person is, meaning how much time they spend sitting or lying down during waking hours. Social media addiction also contributed to predicting sedentary behaviour, but its effect was small. Surprisingly, how much physical activity a person does was not a meaningful predictor of their sedentary behaviour, which supports the idea that being active and being sedentary are not simply opposites — a person can exercise regularly and still spend large amounts of time sitting. The study also found that social media addiction was associated with lower levels of physical activity, suggesting a possible indirect pathway where heavy social media use may both increase sitting time and reduce time spent being active. Demographic factors such as age, gender, education level, income, and employment status also played a role in predicting sedentary behaviour, accounting for about 9.5% of the variation seen across participants. This research matters because sedentary behaviour is linked to a wide range of health problems, and digital media use — particularly social media — is rising rapidly in countries like Turkey. The findings suggest that public health efforts to reduce harmful sitting time may need to focus not just on encouraging exercise, but also on addressing excessive internet and social media use as distinct behavioural risk factors. Because this was a cross-sectional study (a snapshot in time), it cannot prove that social media use or internet time directly causes sedentary behaviour, only that they are associated.

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Citation

B&#xfc;&#x11f;&#xfc;&#x15f;an Oru&#xe7; S, Mirzao&#x11f;lu N, Y&#x131;ld&#x131;r&#x131;m Z, Akkaya K, Elbasan B, Yakut Y. (2026). Predictors of sedentary behaviour in adults: the role of social media addiction and physical activity - a cross-sectional study from Turkey.. Journal of global health. https://doi.org/10.7189/jogh.16.04206