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Obesity is a medical condition, considered a disease by multiple organizations, in which excess body fat has accumulated to such an extent that it can have negative effects on health. People are classified as obese when their body mass index (BMI)—a person's weight divided by the square of the person's height—is over 30 kg/m2; the range 25–30 kg/m2 is…
The analysis highlights History, Community, Culture and Applications as prominent areas in the source structure around Obesity.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Obesity shows recurring relationship patterns in the source. For example, Obesity → Adults, Canadian Clinical Practice Guidelines, Canadian Obesity Network, Care Research, Child Health, Children, Clinical Excellence, Clinical Guidelines, Commons Health Select Committee, CPG, Derek Wanless, Evaluation, Faculty, Health, House, Identification, In, King's Fund, Management, Many Another extracted example is Obesity → After, Alessandro, Blackburn, Borro, Christian European, Corpulence, During, England, Female Reformers, George Cruikshank, Greek, Henry VIII, In, Renaissance, Roman, Rubenesque, Rubens, Some, The, The Belle Alliance. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
weight obese people health bmi food fat risk body children overweight increased physical diet world also rates disease energy found
TTTA extracted 359 structured relationships around Obesity. Examples in this analysis include Obesity → Causes → Excessive consumption of energy-dense foods, sedentary work and lifestyles and lack of physical activity, changes in modes of transportation, urbanization, lack of supportive po… and Obesity → Complications → Cardiovascular diseases, type 2 diabetes, obstructive sleep apnea, certain types of cancer, osteoarthritis, depression. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Obesity | Causes | Excessive consumption of energy-dense foods, sedentary work and lifestyles and lack of physical activity, changes in modes of transportation, urbanization, lack of supportive po… | 1.00 | infobox |
| Obesity | Complications | Cardiovascular diseases, type 2 diabetes, obstructive sleep apnea, certain types of cancer, osteoarthritis, depression | 1.00 | infobox |
| Obesity | Deaths | 2.8 million people per year | 1.00 | infobox |
| Obesity | Diagnostic method | BMI > 30 kg/m2 | 1.00 | infobox |
| Obesity | Frequency | Over 1 billion / 12.5% (2022) | 1.00 | infobox |
| Obesity | Prevention | Societal changes, changes in the food industry, access to a healthy lifestyle, personal choices | 1.00 | infobox |
| Obesity | Prognosis | Reduced life expectancy | 1.00 | infobox |
| Obesity | Specialty | Endocrinology, bariatrics, family medicine | 1.00 | infobox |
| Obesity | Symptoms | Increased fat | 1.00 | infobox |
| Obesity | Treatment | Diet, exercise, medications, surgery | 1.00 | infobox |
| Obesity | is a | medical condition | 0.90 | text |
| Obesity | is a | major cause of disability and is correlated with various diseases and conditions | 0.90 | text |
| Obesity | is a | leading preventable cause of death worldwide | 0.90 | text |
| Obesity | is a | single strongest risk factor for severe COVID-19 illness.Complications may be either directly caused by obesity or indirectly related through mechanisms sharing a common cause s… | 0.90 | text |
| Obesity | is a | disorder of the energy homeostasis system | 0.90 | text |
| Obesity | is a | result of an interplay between genetic and environmental factors | 0.90 | text |
| Obesity | is a | major feature in several syndromes | 0.90 | text |
| Obesity | is a | main feature | 0.90 | text |
| Obesity | is a | disability | 0.90 | text |
The concept neighborhoods around Obesity bring nearby vocabulary together. In this analysis, examples include Rates, Risk and People. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Obesity, one of the stronger structural bridges in this analysis connects Obesity with Causes. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Obesity to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Community, Culture & Applications, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Obesity · EN edition · Analysis: TopicsToTalkAbout