Index Of Race 2
Jeanett Fite
A limited number of race entries are available during the priority registration period, with a portion of entries reserved for general opening (for all UTMB World Series non-lottery events). This means priority registrations may sell out during the priority registration window, so it is first come first served! If the priority allocation sells out, please try again during general registration opening.
We place great importance on ensuring that the race experience is unforgettable on the big day. With this in mind, some races require the implementation of a start wave system. This approach aims to give every runner the opportunity to start under conditions best suited to their level.
The priority registration window is open for 48 hours before general registration opening. Please note that priority registration places are limited, so they may sell out during the priority registration window! If the priority allocation sells out, please try again during general registration opening (for all UTMB World Series non-lottery events).
The UTMB index is a formula developed by the UTMB World Series designed to assess the performance level of trail runners globally, based on their results from taking part in UTMB World Series events and UTMB Index races. View it here: UTMB Index.
In most cases, simply holding a valid UTMB Index is sufficient to gain you priority access. However, if your race has a safety requirement, you must have a UTMB Index for that respective distance, or a greater distance.
After connecting or creating your My UTMB account, the system will recognize your first name, last name and date of birth, match it against your UTMB Index results and will grant you access to complete the registration.
Please note that priority registration places are limited, so it may sell out during the priority registration window! If the priority registration allocation sells out, please try again during general registration opening (for all UTMB World Series non-lottery events).
1. Your race is not a UTMB World Series Event and/or UTMB Index race. Please check the race calendar to see if it is registered as a UTMB Index race. If the race does not feature in the list then you will need to contact the race organiser and ask them to register as a UTMB Index race. This is free for event organizers to do and only takes a few minutes on utmb.world.
2. If the race is a UTMB World Series Event and/or UTMB Index race but no results are published,it is because we have not yet received the results from the race organizer. We will publish the results as soon as we receive them.
If the results are uploaded and your result has not been attached to your profile, there is an error in the information provided in your result. This has resulted in a new profile being created or the result being allocated to another runner. Possible reasons include an error in the spelling of your name / date of birth / nationality. If this is the case, please contact us by email at in...@utmb.world, providing as much information as possible to help us resolve the issue.
This tool also helps you understand the new qualification requirements for races, see your upcoming registrations, check how many Running Stones you have collected, check your UTMB Index and enter future UTMB World Series Finals pre-registrations.
No, pricing will remain the same as advertised on the website, but priority registration gives you first access to the best prices before registrations open to the general public. With many events selling out quickly, priority access improves your chances of securing a place on the start line.
Please note that priority slots are limited, so it may sell out during the priority registration window! If the priority slots sell out, please try again during general registration opening (for all UTMB World Series non-lottery events).
A UTMB Index race contributes towards every Finishers UTMB Index in the corresponding category (20K, 50K, 100K or 100M) and gives privileged access to the UTMB World Series Events or Majors*. The privileged access corresponds to:
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Objective: A recent study conducted by the Pediatric Research in Office Settings network provided evidence that girls in the United States, especially black girls, are starting puberty at a younger age than earlier studies had found, but the reasons for this are not known. Because nutritional status is known to affect timing of puberty and there is a clear trend for increasing obesity in US children during the past 25 years, it was hypothesized that the earlier onset of puberty could be attributable to the increasing prevalence of obesity in young girls. Therefore, the objective of this study was to reexamine the Pediatric Research in Office Settings puberty data by comparing the age-normalized body mass index (BMI-ZS; a crude estimate of fatness) of girls who had breast or pubic hair development versus those who were still prepubertal, looking at the effects of age and race.
Results: For white girls, the BMI-ZS were markedly higher in pubertal versus prepubertal 6- to 9-year-olds; for black girls, a smaller difference was seen, which was significant only for 9-year-olds. Higher BMI-ZS also were found in girls who had pubic hair but no breast development versus girls who had neither pubic hair nor breast development. A multivariate analysis confirms that obesity (as measured by BMI) is significantly associated with early puberty in white girls and is associated with early puberty in black girls as well, but to a lesser extent.
Conclusions: The results are consistent with obesity's being an important contributing factor to the earlier onset of puberty in girls. Factors other than obesity, however, perhaps genetic and/or environmental ones, are needed to explain the higher prevalence of early puberty in black versus white girls.
Later this month, the U.S. Census Bureau plans to release the first results from the 2020 Census on race and ethnicity. These data will provide a snapshot of the racial and ethnic composition and diversity of the U.S. population as of April 1, 2020.
The OMB standards also emphasize that people of Hispanic origin may be of any race. In data tables, we often cross-tabulate the race and Hispanic origin categories to display Hispanic as a single category and the non-Hispanic race groups as categories summing up to the total population.
These diversity calculations require the use of mutually exclusive racial and ethnic (nonoverlapping) categories. For our analyses, we calculate the Hispanic or Latino population of any race as a category; each of the race alone, non-Hispanic groups as individual categories; and the Multiracial non-Hispanic group as a distinct category.
One of the measures we will use to present the 2020 Census results is the Diversity Index, or DI. This index shows the probability that two people chosen at random will be from different race and ethnic groups.
The DI is bounded between 0 and 1, with a zero-value indicating that everyone in the population has the same racial and ethnic characteristics, while a value close to 1 indicates that everyone in the population has different characteristics.
We converted the probabilities into percentages to make the results easier to interpret. In this format, the DI tells us the chance that two people chosen at random will be from different racial and ethnic groups.
In Figure 1, the population is made up of only two large and even groups. The DI for this population indicates that there is a 50% chance that two people chosen at random will be from different race and ethnic groups.
Figure 2, the second hypothetical example, shows a population with four equally sized groups where the DI is 75%. The chance that the two people come from different race and ethnic groups is increased, even though the size of each group is smaller than in the first example.
Figure 3 shows a hypothetical population with four unequally sized groups and a DI of 70%. Comparing Figure 2 and Figure 3, we see that the relative size of the racial and ethnic groups affects the DI score by decreasing the probability when some groups are larger than the others.
The DI for actual data from the 2010 Census for the United States and selected states illustrate how the metric can vary based on the distribution of the population by race and ethnicity. In 2010, there was a 54.9% chance that two people chosen at random from the U.S. population would be from different race or ethnicity groups (Figure 4).
With prevalence rankings, which show the most common group in an area, we look at patterns in the percentage of the population that falls into the largest race or ethnic group, second-largest group, and third-largest group. The prevalence ranking approach uses tables or graphs to show the percentages of the largest groups.
The diffusion score measures the percentage of the population that is not in the first-, second- or third-largest racial and ethnic groups combined. This metric tells us how diverse and unconcentrated the population is relative to the three largest groups.
For example, the diffusion score for the United States was 7.7% in 2010, as 7.7% of the population was not one of the three largest racial or ethnic groups. When we look across the country, we see a lot of variation in the diffusion scores by state in 2010.