Association Between Sleep Trouble and Cataracts in US Adults, 2005-2008

Jun Huang's cross-sectional study analyzes data from 2,601 US adults aged 40 and older from the National Health and Nutrition Examination Survey (2005–2008). The dataset likely contains variables for self-reported trouble sleeping, cataract operation history, and covariates including sociodemographic factors, lifestyle, and comorbidities. It was last updated on figshare in April 2026.

Use Cases

• Conducting logistic regression analysis based on the association between self-reported sleep trouble and cataract status.
• Performing subgroup analyses based on demographic and clinical characteristics mentioned in the study.
• Investigating potential confounding effects based on sociodemographic, lifestyle, and comorbidity variables.

Strengths

• Dataset is derived from the authoritative National Health and Nutrition Examination Survey (NHANES).
• Analysis includes a sample of 2,601 adults and reports a significant adjusted odds ratio (OR=2.50).
• Study design adjusts for multiple covariates including sociodemographic factors, lifestyle, and comorbidities.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The 45.0 KB file size suggests the dataset is very small, likely containing summary or processed results rather than raw survey data.

Provenance

Source

National Health and Nutrition Examination Survey (NHANES) 2005-2008.

Collection Method

Cross-sectional analysis of survey data using multiple logistic regression.

Time Range

2005–2008

Freshness

Last updated 2026-04 23 04:19:21; freshness should be verified.

Geography

United States