Nutritional Status and Sociodemographic Factors of Older Adults in Lalitpur, Nepal

A cross-sectional study of 360 community-dwelling individuals aged 60 and older from the outskirts of Lalitpur Metropolitan City, Nepal. The dataset includes nutritional status assessed via the Mini Nutritional Assessment (MNA) tool, alongside sociodemographic, socioeconomic, and health characteristics. It was authored by Eebaraj Simkhada and last updated on March 18, 2026.

Use Cases

• Predicting malnutrition risk based on sociodemographic factors like age and occupation mentioned in the description.
• Analyzing associations between chronic diseases (e.g., hypertension, diabetes) and nutritional status as described in the results.
• Studying the relationship between financial dependency and health outcomes in an older population.
• Modeling the prevalence of conditions like insomnia and chronic pain among older adults in an urban Nepalese setting.

Strengths

• Includes specific prevalence figures: 13% malnutrition, 45% at risk of malnutrition, and 28% overweight among participants.
• Data collection used a multi-stage cluster sampling method with probability proportional to size for a sample of 360 individuals.
• Associations between variables like occupation, age, hospitalization, and insomnia with nutritional status were tested using Chi-square and ANOVA.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small at 13.5 KB, indicating a limited scope focused on a specific geographic area and population.

Provenance

Source

Eebaraj Simkhada via figshare.

Collection Method

Cross-sectional population-based study using multi-stage cluster sampling.

Freshness

Last updated 2026-03-18 17:34:49; freshness should be verified.

Geography

Five Village Development Committees (VDCs) around the outskirts of Lalitpur Metropolitan City, Lalitpur district, Nepal.