Race is strong predictor for RLS

For everything and anything else not covered in the other RLS sections.
Post Reply
jul2873
Posts: 445
Joined: Thu Nov 15, 2012 7:32 pm

Race is strong predictor for RLS

Post by jul2873 »

Forty percent of Caucasian women have RLS!!! https://www.sciencedaily.com/releases/2 ... D7vrnViP0Y

stjohnh
Posts: 1284
Joined: Sun Feb 14, 2016 3:13 pm
Location: Palo Alto, California

Re: Race is strong predictor for RLS

Post by stjohnh »

Hard to believe that 40% of white women have RLS. Doesn't fit with the people I know.
Blessings,
Holland

Rustsmith
Moderator
Posts: 6476
Joined: Sat Sep 28, 2013 9:31 pm
Location: Colorado Springs, Colorado

Re: Race is strong predictor for RLS

Post by Rustsmith »

Although the statistics reported in the paper may be valid indication of RLS among the patients at the author's clinic, there is an extremely good chance that the clinic's population does not represent the overall population. For starters, patients at the clinic have self selected themselves simply by appearing at the clinic. This means that patients in the clinic population have some condition that requires medical treatment or requires periodic checkups. Individuals that do not need medical care would not be represented in the clinic's population.

This is a perfect example of incorrectly applying statistical analysis and is a fantastic example of a technical publication that requires careful review because the facts reported may be correct but the analysis of the data in the report is either incorrect or at best it is highly misleading.
Steve

https://www.mayoclinicproceedings.org/a ... 0/fulltext
Opinions presented by Discussion Board Moderators are personal in nature and do not, in any way, represent the opinion of the RLS Foundation, and are not medical advice.

QyX

Re: Race is strong predictor for RLS

Post by QyX »

Rustsmith wrote:
Fri Mar 05, 2021 3:00 pm
Although the statistics reported in the paper may be valid indication of RLS among the patients at the author's clinic, there is an extremely good chance that the clinic's population does not represent the overall population. For starters, patients at the clinic have self selected themselves simply by appearing at the clinic. This means that patients in the clinic population have some condition that requires medical treatment or requires periodic checkups. Individuals that do not need medical care would not be represented in the clinic's population.
Yep, exactly this!

Post Reply