Metrics
General Fitness
the general fitness refers to an individual's overall physical condition, encompassing endurance, strength and flexibility it is a holistic measure of how well a person can perform daily activities, sustain physical effort, and maintain good health a higher fitness level indicates greater physical capability, resilience, and cardiovascular efficiency how is it calculated? the general fitness level is determined through a combination of physiological measurements and self reported data we collect objective data on heart rate, respiratory rate, and heart rate variability (hrv) combined with responses to key fitness related questions by combining all this information, a comprehensive assessment of the user’s fitness level is generated when is the first reading available? the general fitness level depends on a combination of several inputs that need to be available to obtain a first reading in general, a first reading is obtained after two or three face scans how can it be used? the general fitness level is a valuable metric for both users and health professionals it provides an overall snapshot of a person’s physical health and helps in setting realistic fitness goals or identifying areas for improvement monitor fitness progress tracking changes in the general fitness level over time can help users assess the effectiveness of their exercise routines or health interventions detect health issues a sudden decline in fitness level could indicate underlying health concerns that need attention, such as cardiovascular or respiratory issues guide fitness programs based on the fitness level, tailored exercise and lifestyle recommendations can be made to improve specific aspects of health, such as endurance, strength, or flexibility the general fitness level score can be used on its own or in combination with other metrics to offer deeper insights into a person’s overall health comparing this score to population norms or personal baselines allows for personalised guidance and recommendations for improvement these kinds of analyses are also performed by intelliprove's insights algorithms and available as interpretations docid\ yj8wneqgt2x2amwnf1 kz interpreting results the general fitness level is returned as a numeric score between 0 and 100 and can be requested as a widgets docid\ oorapckooi6 89xrafduv or via the rest api docid\ biupvixvhltbukklr2ati definitions true false 118,138,89,209false unhandled content type false unhandled content type false unhandled content type false unhandled content type false unhandled content type false unhandled content type false unhandled content type false unhandled content type false unhandled content type false unhandled content type values true falsefalse left unhandled content type false left unhandled content type false left unhandled content type false left unhandled content type false left unhandled content type false left unhandled content type false left unhandled content type false left unhandled content type false left unhandled content type false left unhandled content type false left unhandled content type false left unhandled content type false left unhandled content type false left unhandled content type false left unhandled content type false left unhandled content type false left unhandled content type false left unhandled content type false left unhandled content type false left unhandled content type the table above shows value the possible values for the health insight meaning what does the value mean zone we distinguish three zones, useful – for example when creating a widget to clarify the feel towars the user green = optimal to normal yellow = normal to average red = outside the typical range; may require attention example user text an example of what could be communicated to the user in case this value is measured scientific papers lee dc, artero eg, sui x, blair sn 2010 mortality trends in the general population the importance of cardiorespiratory fitness j psychopharmacol 24(4 suppl) 27–35 kodama s, saito k, tanaka s, maki m, yachi y, asumi m, sugawara a, totsuka k, shimano h, ohashi y, yamada n, sone h 2009 cardiorespiratory fitness as a quantitative predictor of all cause mortality and cardiovascular events in healthy men and women a meta analysis jama 301(19) 2024–2035 ross r, blair sn, arena r, church ts, després jp, franklin ba, haskell wl, kaminsky la, levine bd, myers j, niebauer j, sallis r, sawada ss, sui x, wisloff u 2016 importance of assessing cardiorespiratory fitness in clinical practice a case for fitness as a clinical vital sign a scientific statement from the american heart association circulation 134(24)\ e653–e699