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[Diagnosing community health by factorial analysis]
A Irigoyen Coria1, E R Ponce Rosas, M E Dickinson Bannack
1Universidad Nacional Autónoma de México, México DF.
Atencion Primaria
|April 29, 1998
Summary
Factorial analysis identified key health risk factors in a Mexican community, aiding in diagnosing health needs. This supports developing programs for at-risk families and early Diabetes Mellitus detection.
Area of Science:
- Community health research
- Epidemiology
- Health services research
Context:
- Primary Care Centre in Tlalpan, Mexico City.
- Study involved 590 randomly sampled dwellings.
- Analysis based on demographic, economic, and family features.
Purpose:
- Identify medical care needs.
- Prioritize health service delivery.
- Utilize factorial analysis of health indicators.
Summary:
- 16 health markers categorized into demographic, social, health-damaging, and family.
- Nine markers with Pearson's correlation index > 0.40 selected.
- Factorial analysis revealed two primary factors influencing community health.
Impact:
- Facilitated community health diagnosis through risk factor identification.
- Highlighted the need for studying dysfunctional families.
- Recommended a prevention and early diagnosis program for Diabetes Mellitus.