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The problem
Intervention: Assessment of cardiovascular risk using the non-laboratory Framingham Risk Score algorithm in individuals with history of child marriage versus adult marriage
Who it was tested with: Indian women aged 30-49 years (n=336,953) and men aged 30-54 years (n=49,617).
Experience from people who deliver programmes: stories, case studies and lessons learned. Valuable for understanding how and why, and for spotting what to test next, but not a measure of effect.
"Applying the non-laboratory-based Framingham algorithm to data on 336,953 women aged 30-49 years and 49,617 men aged 30-54 years, we estimated individual's predicted heart age (PHA). Comparing the PHA with chronological age (CA), we categorized individuals in four groups...We estimated multivariable multinomial logistic regressions to obtain relative risks of respective categories for the child marriage indicator." The study uses a large nationally representative sample with multivariable analysis to assess differential cardiovascular risk between those with and without history of child marriage.
Cross-sectional design prevents causal inference; predicted heart age is based on non-laboratory factors which may not capture all cardiovascular risk; lack of information on timing and age at marriage, duration of marriage, or mechanisms linking child marriage to increased risk
Across countries and designs
1 study · 1 country
