Although hypertension is a readily detectable and modifiable condition it is responsible for more deaths worldwide than any other cardiovascular risk factor, including tobacco use, obesity, and lipid disorders.
Individuals are also more likely to want information as the condition becomes more serious, e.g. considering a modifiable condition we have, compared to the serious disease baseline, a non-serious disease log odds of −0.89 (95%% CI −1.19 to −0.59) and a fatal disease log odds of 0.55 (95%% CI 0.25 0.86).
Risk factors include a high attack rate, medication overuse, obesity, depression, low income, as well as non-modifiable conditions, such as childhood stressing experiences ([3].
Knowledge about existing non-modifiable conditions provides a much-needed in-depth understanding of antibiotic surveillance results.
This component of the burden of disease calculation is an assessment of exposures to particular, potentially modifiable, housing conditions that are implicated in home injury.
When comparing the relative contribution of the three modifiable coexisting conditions (dyslipidemia, hypertension, and hyperglycemia) with development of future coronary heart disease (CHD), the estimated hazard ratio (HR) for the upper third, relative to the lower third, for LDL cholesterol, systolic blood pressure, and A1C were 2.26, 1.82, and 1.52, respectively (4).
Few individuals would appear to feel, for a modifiable or preventable condition, "that [they] would NOT like to be contacted"; modifiable and non-serious 19 %, CI 15 25%%; preventable and fatal 5%%, CI 3 7 % with very few feeling "very strongly that [they] would NOT like to be contacted".
These diseases are largely preventable, as they are directly and indirectly associated with potentially modifiable factors, including socioeconomic conditions.
It is necessary that new mHealth systems, where possible, fit into existing workflows and be easily modifiable to fit local conditions and to other diseases.
