Clustering of hypertension and clustering of diabetes within households across districts of India: A cross-sectional analysis using a nationally representative household survey
These videos have been matched automatically. Contact us if they are not relevant.
These videos have been matched automatically. Contact us if they are not relevant.
View abstract on PubMed
Summary
This summary is machine-generated.Household clustering of hypertension and diabetes is significant in India. Nearly 15% of households have hypertension clustering and 7.7% have diabetes clustering, indicating a need for targeted interventions.
Area Of Science
- Public Health
- Epidemiology
- Non-communicable Diseases
Background
- Rising prevalence of hypertension and diabetes in India.
- Limited evidence on household clustering of these diseases in India.
- Need to understand disease distribution beyond individual cases.
Purpose Of The Study
- To examine hypertension and diabetes clustering within Indian households.
- To identify factors influencing disease clustering at community, district, and state levels.
- To provide district-wise insights into concentrated disease burden.
Main Methods
- Cross-sectional analysis using data from the National Family Health Survey-5 (2019-21).
- Inclusion of individuals aged 15 years and above across all 707 Indian districts.
- Multi-level analysis to evaluate influencing factors at various geographical levels.
Main Results
- 14.9% of households exhibited hypertension clustering, accounting for 50% of total hypertension cases.
- 7.7% of households showed diabetes clustering, responsible for 39.3% of total diabetes cases.
- Clustering was associated with larger, wealthier households, older members, overweight women, specific dietary habits (fish, fried food), and urban residence.
Conclusions
- Significant household-level clustering exists for both hypertension and diabetes in India.
- Findings highlight disproportionate disease burden in clustered households, emphasizing targeted interventions.
- Understanding district-wise clustering and its drivers is crucial for effective public health strategies and achieving SDG 3.4.
These videos have been matched automatically. Contact us if they are not relevant.
These videos have been matched automatically. Contact us if they are not relevant.
Related Concept Videos
Hypertension is asymptomatic and also referred to as the "silent killer" until it progresses to a severe stage or causes target organ disease. Patients may experience symptoms stemming from the strain on blood vessels and tissues in various organs or the heart's increased workload.Physical exams might show no abnormalities other than high blood pressure. Signs of vascular damage, when present, correspond to the organs supplied by the affected vessels, leading to target organ damage. For...
Hypertension is a widespread, long-term medical condition where blood pressure in the arteries remains elevated. It is characterized by systolic blood pressure readings of 130 mm Hg or above or diastolic blood pressure (DBP) readings of 80 mm Hg or higher. Unmanaged hypertension poses significant health risks, making the distinction between primary (or essential) hypertension and secondary hypertension crucial, as their management and implications vary.Primary HypertensionPrimary hypertension,...
Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
Hypertension is a chronic condition in which the blood's force against artery walls is excessively high, posing risks such as heart disease. The condition's underlying mechanisms involve complex interactions among the cardiovascular, kidney, and autonomic nervous systems.Renin-Angiotensin-Aldosterone System (RAAS): This system significantly influences blood pressure regulation. When blood pressure decreases, the kidneys secrete renin. This enzyme transforms angiotensinogen, a plasma protein,...
Hypertension, the most common cardiovascular disease, is diagnosed through repeated measurements of elevated blood pressure. Its risks, including damage to the kidney, heart, and brain, are directly proportional to blood pressure levels. Starting from 115/75 mm Hg, the risk of cardiovascular disease doubles with each increment of 20/10 mm Hg. The diagnosis relies on blood pressure measurements, not on patient symptoms, as hypertension is often asymptomatic until end-organ damage is imminent or...
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...