Understanding Your Personalized Exposure Report

A personalised exposure report is only as useful as the person reading it understands it to be. And this is where the design of risk communication — how health information is framed, presented, and contextualised — becomes as important as the accuracy of the underlying data.

The history of health risk communication is full of examples where technically accurate information produced exactly the wrong response: either paralyzing anxiety from information presented without context, or dangerous complacency from numbers that were technically within regulatory limits but masked genuine concern. The antidote to both is literacy — understanding what the numbers mean, what they can't tell you, and how to translate them into specific, proportionate action.

PollutionProfile's exposure report is designed with several risk communication principles that are worth understanding explicitly, because they shape how you should read it. A single risk score is less useful than a ranked list of contributing factors. A relative risk is more actionable than a probability. A confidence range is more honest than a point estimate. And an action checklist connected to the results is more valuable than a risk assessment that ends with the number.

Your exposure report contains risk scores — numerical representations of estimated risk relative to a reference population. Understanding how these scores are calculated is the foundation for interpreting them correctly.

The data inputs Your risk scores are derived from: • Estimated exposure concentration at each address and time period (from environmental monitoring data, modelling, and database cross-referencing) • Duration of exposure at each location • Age during exposure (developmental weighting applies — childhood exposure to many toxicants carries higher weight than equivalent adult exposure) • Occupational exposure estimates from your job history • Cross-referenced against dose-response relationships from the epidemiological literature

What the score represents The score is a relative risk estimate — the ratio of your estimated disease risk compared to an unexposed or average-exposed reference population. A score of 1.5 for a specific exposure category means the model estimates your risk is approximately 50% higher than the reference population for that category.

The compounding of uncertainty Each step in this calculation introduces uncertainty: exposure estimation, dose-response modelling, transferability from study populations to your individual situation. The report presents confidence intervals around risk estimates — ranges that reflect this uncertainty — rather than false-precision point estimates. A risk score of 1.5 with a confidence interval of 1.2–2.0 is meaningfully different from one with an interval of 0.8–3.5.

What the score cannot tell you The score cannot tell you whether you will develop a disease. It can tell you that your estimated exposure history is associated with higher-than-average risk in population-level studies. Individual variation in genetic susceptibility, lifestyle factors, and exposures not captured in the model all affect actual individual risk.

Each contaminant-specific risk summary in your report follows the same structure: what you were exposed to, when, at what estimated level, and what that level is associated with in the epidemiological literature.

Reading the air quality summaries Air quality risk summaries are primarily based on PM2.5 and ozone exposure estimates at your historical addresses. They reference the large-scale epidemiological literature — the Harvard Six Cities Study, the ACS Cancer Prevention Study II, the ESCAPE European cohort — that established dose-response relationships for cardiovascular and respiratory outcomes.

Reading the water quality summaries Water quality risk summaries reflect the contaminant history of the public water systems at your addresses and, where available, private well testing data. They distinguish between contaminants with zero MCLGs (lead, arsenic, PFAS) — where any detected level represents some risk — and contaminants regulated at non-zero MCLGs, where the risk estimate is based on concentrations relative to health thresholds.

Reading the occupational summaries These are based on the IARC classifications and occupational epidemiology for the industries and exposures you've logged. They are explicit about which exposures have Group 1 versus Group 2A evidence and what the relevant disease associations are.

The dose-response context Each summary includes a graph or visual showing where your estimated exposure sits on the dose-response curve established in the literature. This contextualisation — not just "you were exposed" but "here is where your estimated exposure falls relative to the doses at which effects were observed" — is the most important piece of interpretive context in the report.

The most important output of your exposure report isn't the risk scores — it's the action checklist that translates those scores into specific, prioritised steps.

Tier 1: Ongoing exposure reduction Any current exposures that the report identifies as elevated — current home air quality, current water quality, ongoing occupational exposure — represent opportunities for immediate risk reduction. Unlike past exposures, which are historical, current exposures can be changed.

The report flags these specifically, distinguishing past (fixed) from current (modifiable) exposures, and links to the relevant PollutionProfile feature for each: Air Quality monitoring for air exposures, Water Quality assessment for water concerns, Home Toxin Audit for indoor chemical exposures.

Tier 2: Medical follow-up conversations For past exposures associated with elevated risk estimates, the report generates a list of specific questions to raise with your physician, with suggested screening considerations based on your exposure profile.

These are framed as conversation starters, not medical recommendations. Your physician's role is to determine whether the screening is clinically appropriate given your full medical history — not just your exposure history.

Tier 3: Monitoring and re-evaluation Your exposure history is not static. New data becomes available — updated air quality records, new water quality testing, revised dose-response relationships in the literature. The report notes which components are most data-constrained and suggests when re-running the assessment with updated data would add value.

The goal of the action checklist is simple: make the gap between knowing and doing as small as possible. An exposure report that produces anxiety without a pathway to action has failed at its core purpose.