Metabolic syndrome burden, determinants and treatment status in an urban slum resettlement colony in Delhi, India
2024

Metabolic Syndrome in Urban Slum Populations in Delhi, India

Sample size: 400 publication 10 minutes Evidence: moderate

Author Information

Author(s): Rao Shivani, Basu Saurav, Nandi Kajal, Singh M M, Lalwani Heena, Maheshwari Vansh, Borle Amod, Sharma Nandini

Primary Institution: Maulana Azad Medical College, New Delhi

Hypothesis

What is the prevalence, determinants, and treatment status of metabolic syndrome in an urban slum resettlement population in Delhi, India?

Conclusion

A high burden of metabolic syndrome and suboptimal treatment status is prevalent in urban slum populations.

Supporting Evidence

  • 52.75% of participants with abdominal obesity were found to have metabolic syndrome.
  • The prevalence of metabolic syndrome was significantly higher in older adults.
  • Medication adherence was low among patients with diabetes and hypertension.
  • Females had a higher prevalence of abdominal obesity compared to males.
  • Screening for metabolic syndrome can help in early diagnosis and management.

Takeaway

Many people living in urban slums in Delhi have a serious health problem called metabolic syndrome, which can lead to heart disease. It's important to check for this condition, especially in older adults.

Methodology

The study used multiphase sampling to screen 1910 individuals for abdominal obesity, with 400 selected for further evaluation of metabolic syndrome components.

Potential Biases

There is a possibility of reporting bias for self-reported data such as family history and medication adherence.

Limitations

The study was cross-sectional, limiting causal inferences, and was conducted at a single site with a limited sample size.

Participant Demographics

The majority of participants were female (77%), aged under 60 years (81%), and 90.25% had a per capita income below the median.

Statistical Information

P-Value

p<0.05

Confidence Interval

95% CI 47.83 to 57.62

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1093/inthealth/ihae024

Want to read the original?

Access the complete publication on the publisher's website

View Original Publication