No. The math runs in your existing height-and-weight widget, which handles metric-imperial unit conversion and the BMI = weight in kg divided by height in meters squared formula. SleekRank reads the variant row from your sheet and renders the surrounding copy, the audience-appropriate category cutoffs, and the variant-specific FAQs. The widget consumes the category_source column to switch between fixed-cutoff and percentile-curve output.

The widget needs the user's age in months and sex to look up the percentile on the CDC growth curve. For child and teen variants, the widget enables the age-and-sex inputs and outputs the BMI value plus the corresponding percentile and category label like underweight, healthy, overweight, or obese per CDC categorization. The base page loads the percentile curve data once; every child or teen variant page inherits it through the shared widget.

BMI conflates lean mass and fat mass because it only uses height and weight. Athletes with high muscle mass routinely score in the overweight or obese category despite low body fat. The /bmi/athlete/ variant should explicitly call this out in the intro and FAQ, recommend body-fat-percentage methods like DEXA, BodPod, or skinfold calipers, and frame the BMI output as a baseline number rather than a category judgment for athletic populations.

Some geriatric research suggests that mild overweight in older adults may correlate with better outcomes than the same BMI in younger adults, partly because muscle-mass loss with age inflates the apparent fat-mass-driven BMI. The /bmi/senior/ variant should surface this nuance in the FAQ column and link to recent geriatric studies rather than treating the standard adult cutoffs as universally applicable across the lifespan.

Yes. The widget should accept both height-in-centimeters with weight-in-kilograms and height-in-feet-and-inches with weight-in-pounds. The output BMI value is unit-agnostic because the formula self-normalizes. The intro and FAQ columns should note that the BMI categorization is the same regardless of which input units the user uses, which helps users coming from different regional measurement conventions.

Write the body copy carefully and frame categories as descriptive rather than prescriptive. Phrases like underweight, healthy weight, overweight, and obesity follow WHO categorization, but the surrounding intro and FAQ content should emphasize that BMI is a screening tool, not a diagnosis. The athlete variant in particular should set the tone for the whole corpus by framing BMI as one signal among many rather than the definitive body-composition assessment.

Yes. Drop the HowTo JSON-LD on the base page once for steps like measure height with a stadiometer, weigh with a calibrated scale, enter the values, read the result. Inject audience-specific step copy through selector mappings tied to the row when steps differ across audiences. The pediatric variant might include additional steps for measuring child height accurately against a wall or growth chart.

Comfortably. Twenty audience variants with substantive audience-specific content is well within editorial and crawl budgets. The sheet stays a single readable document with one row per audience or age range. The widget stays a single artifact. Adding a new variant like a pregnancy-BMI page or a regional Asian-population variant with revised lower cutoffs is a sheet row plus a configured category_source value.