Swasthya Gram: Early Detection of Lifestyle Diseases in Rural Women.

Academic Research Title: "Predictive Modeling of Hypertension Risk Factors using BMI and Lifestyle Data among Geriatric Women in Rural Bihar."

Location: Rural Bihar , Singhasini, Ramgarwa

Target Group: Women (Aged 30–60 years)

Duration: 4 Weeks

1. Executive Summary

Project Swasthya Gram ("Healthy Village") is a preventive healthcare initiative aimed at detecting "Silent Killers"—specifically Hypertension (High Blood Pressure) and Obesity—among rural women. Contrary to popular belief, lifestyle diseases are no longer just urban problems; changed dietary habits and stress are driving them into villages. This project will screen 250 women using digital diagnostics and analyze the data to create a "Village Health Risk Profile," enabling early intervention before fatal events like strokes or cardiac arrests occur.

2. Problem Statement

In rural Bihar, healthcare seeking is often "symptom-driven"—women visit a doctor only when they are in pain or bedridden.

• The Silent Threat: Hypertension often has no visible symptoms until it causes a stroke.

• The Data Void: There is no localized data linking rural lifestyle factors ( high salt intake in pickles/preserves, stress) to cardiac health.

• The Consequence: Premature mortality among the matriarchs of the family, destabilizing entire households.

3. Objectives

1. Screening: To measure Blood Pressure (BP), Weight, and Height (for BMI) of 250 women.

2. Data Analysis: To calculate Body Mass Index (BMI) and correlate it with BP readings to identify "High-Risk" individuals.

3. Awareness: To educate women on the "DASH Diet" (Dietary Approaches to Stop Hypertension) using locally available foods.

4. Methodology & Data Analysis

Phase 1: The "Life-Audit" Survey (Data Collection)

We will collect lifestyle data points to identify root causes:

• Dietary Habits: Frequency of salt intake, consumption of fried food, and vegetable intake.

• Physical Activity: Hours of manual labor vs. sedentary time.

• Family History: History of stroke or heart attacks in parents.

Phase 2: The Health Camp (Screening)

• Station A (Vitals): Measuring Height and Weight.

• Station B (Cardiac): Measuring Resting Blood Pressure (3 readings averaged).

• Station C (Consultation): Immediate flagging of BP > 140/90.

Phase 3: The Risk Analysis (The Science)

We will process the data to categorize women into a "Traffic Light System":

• Green: Healthy BMI & Normal BP.

• Yellow: Pre-hypertensive or Overweight (Requires Diet Correction).

• Red: Stage 2 Hypertension or Obese (Requires Medical Referral).

5. Budget Breakdown

Component	Description	Cost (INR)
Diagnostic Tools	2 Digital BP Monitors (Omron/Dr. Morepen)	₹4,000
Anthropometry	1 Digital Weighing Scale + 2 Measuring Tapes	₹1,500
Logistics	Tent, Tables, Chairs rental for Village Camp	₹3,000
Awareness	Printing "Health Report Cards" for every woman	₹2,500
Nutrition Aid	Distribution of fruit packets (Bananas/Apples) as incentive	₹5,000
Team Support	Travel & Stipend for 2 Nursing Volunteers	₹3,000
Contingency	Batteries, Sanitizers, Emergency Fund	₹1,000
TOTAL		₹20,000

6. Expected Outcomes (Impact)

Social Impact

• 250 Women screened for the first time for Hypertension.

• Identification of approx. 30-40 "Red Zone" cases who will be referred to the District Hospital immediately.

• Increased awareness about the dangers of excess salt and oil in daily cooking.

Data Impact (Deliverable)

A Final Health Analytics Report featuring:

• BMI Distribution Graph: Percentage of Underweight vs. Obese women in the village.

• The "Salt Correlation": Analysis showing if high salt consumers have higher average BP.

• Village Risk Score: An aggregate score of the village's heart health to present to the Panchayat.

7. Conclusion

Project Swasthya Gram shifts the focus from "Cure" to "Prevention." By spending just ₹20,000, we create a comprehensive health dataset for the village and potentially save lives by catching the "Silent Killer" before it strikes. This model is highly scalable and can be replicated in every village in Bihar.