Instagram Use and Mental Well-being Survey of 515 University Students in Pakistan

Ayesha Qamar's dataset contains statistical results from a 2024 study on Instagram use among university students in Islamabad, Pakistan. The data includes 515 survey responses from students aged 18-25, analyzed using a conditional mediation model. Findings relate Instagram use to self-esteem and depression, with moderation by social comparison tendencies.

Use Cases

• Test mediation and moderation models for social media effects based on the described conditional mediation (CoMe) framework.
• Analyze the relationship between social media usage frequency and psychological metrics like self-esteem and depression.
• Investigate demographic or behavioral moderators in digital well-being studies based on the described sample of university students.
• Replicate statistical analysis of path coefficients (β values) for Instagram's impact on mental health outcomes.

Strengths

• Dataset is based on a sample of 515 survey respondents, providing a quantitative foundation.
• Analysis includes specific statistical coefficients (e.g., β = -0.661, p < .001) for transparency.
• Focuses on a defined demographic: university students aged 18-25 in Islamabad, Pakistan.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The 5.5 KB file size suggests the dataset is very small, likely containing summary statistics rather than raw survey responses.

Provenance

Source

Ayesha Qamar via figshare.

Collection Method

Online surveys conducted with university students using convenience sampling.

Time Range

Data collection likely occurred around early 2024, as referenced in the description.

Freshness

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

Geography

Islamabad, Pakistan.