Instagram Use and Mental Well-Being Survey of Pakistani University Students, 2024

515 survey responses from students aged 18-25 at two universities in Islamabad explore the link between Instagram use and mental well-being. The data, collected in 2024, applies a conditional mediation model to show how Instagram use predicts decreased self-esteem and higher depression, moderated by social comparison. Author Ayesha Qamar published the dataset on figshare under a CC-BY-4.0 license.

Use Cases

• Test conditional mediation models based on the described CoMe Model framework.
• Analyze the relationship between social media use and self-esteem based on survey variables.
• Study the moderating effect of upward social comparison on mental health outcomes.
• Replicate statistical analysis of path coefficients (β values) reported in the description.

Strengths

• Dataset includes 515 survey responses, providing a substantive sample size for analysis.
• Specific statistical results are reported (e.g., β=-0.661 for Instagram use on self-esteem), suggesting underlying data supports detailed modeling.
• Clear temporal and geographic scope: data from university students in Islamabad, Pakistan, collected around 2024.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for some statistical methods.
• Data reflects a specific geographic and demographic bias (university students in Islamabad) and may not be generalizable.

Provenance

Source

figshare, author Ayesha Qamar.

Collection Method

Online surveys conducted via convenience sampling at two universities.

Time Range

Data likely collected around 2024, based on description context.

Freshness

Last updated 2026-04-29 17:32:03; freshness should be verified.

Geography

Islamabad, Pakistan.