Table 1_Perceived barriers to healthy eating and self-efficacy among Indian adults at high

Longitudinal data from 1,007 Indian adults participating in the Kerala Diabetes Prevention Program (K-DPP) over 9 years. The dataset, authored by Mayuko McMillin and shared under CC-BY-4.0, examines the effects of perceived barriers and dietary self-efficacy on fruit and vegetable intake. Analysis used linear mixed-effects models across four survey waves.

Use Cases

• Modeling fruit and vegetable intake based on perceived barrier domains like availability and cost.
• Analyzing the longitudinal relationship between dietary self-efficacy items and consumption patterns.
• Investigating demographic and behavioral covariates associated with healthy eating in a high-risk cohort.

Strengths

• Dataset includes longitudinal data from 1,007 participants tracked across four waves.
• Analysis provides specific beta coefficients and confidence intervals for key predictors like availability barriers (β = −53.9 g/day).
• Focus on a defined high-risk population (Indian adults at risk of type 2 diabetes) within a specific program (K-DPP).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The primary data file is a DOCX document (682.0 KB), suggesting the underlying tabular data may require extraction.

Provenance

Source

Kerala Diabetes Prevention Program (K-DPP) study.

Collection Method

Secondary analysis of longitudinal survey data using linear mixed-effects models.

Time Range

Data collection spanned 9 years, as indicated by the study period.

Freshness

Last updated 2026-05-25 04:34:43; freshness should be verified.

Geography

India, specifically participants from the Kerala Diabetes Prevention Program.