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Statistisk analys av riskfaktorer för sömnapné

Holm, Rebekka LU (2013) STAH11 20122
Department of Statistics
Abstract
Obesity is an increasing problem that brings suffering to the individual and complicates life not only daytime, but also during the night. There is a correlation between being overweight and sleep apnea. This paper aims toward creating models using risk factors, to help the evaluating physician determine whether or not the patient has an increased risk for obstructive sleep apnea syndrome (OSAS). One model is based on what the physician can measure hands on and acquire from the medical history, and the other is based on a questionnaire for the patient to fill in. The patients in this study have already been, or will be subject to weight control surgery (Laparoscopic Gastric Bypass).

With the statistical method of multiple logistic... (More)
Obesity is an increasing problem that brings suffering to the individual and complicates life not only daytime, but also during the night. There is a correlation between being overweight and sleep apnea. This paper aims toward creating models using risk factors, to help the evaluating physician determine whether or not the patient has an increased risk for obstructive sleep apnea syndrome (OSAS). One model is based on what the physician can measure hands on and acquire from the medical history, and the other is based on a questionnaire for the patient to fill in. The patients in this study have already been, or will be subject to weight control surgery (Laparoscopic Gastric Bypass).

With the statistical method of multiple logistic regression the examined variables are modeled in order to investigate the relationship between sleep apnea and the risk factors.

The material for this study has been made available by the Ear, Nose and Throat Clinic at Kalmar County Hospital, Sweden.

Due to the fact that the patients in the study share many of the same characteristics that come with obesity, there is little variation in the sample. Some factors that have turned out to be significant for OSAS in other studies do not show significance in this study. (Less)
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author
Holm, Rebekka LU
supervisor
organization
course
STAH11 20122
year
type
M2 - Bachelor Degree
subject
keywords
sleep apnea, binary logistic regression, Fisher’s exact test, Logistic regression
language
Swedish
id
3799944
date added to LUP
2013-06-13 14:12:46
date last changed
2013-06-13 14:12:46
@misc{3799944,
  abstract     = {Obesity is an increasing problem that brings suffering to the individual and complicates life not only daytime, but also during the night. There is a correlation between being overweight and sleep apnea. This paper aims toward creating models using risk factors, to help the evaluating physician determine whether or not the patient has an increased risk for obstructive sleep apnea syndrome (OSAS). One model is based on what the physician can measure hands on and acquire from the medical history, and the other is based on a questionnaire for the patient to fill in. The patients in this study have already been, or will be subject to weight control surgery (Laparoscopic Gastric Bypass). 

With the statistical method of multiple logistic regression the examined variables are modeled in order to investigate the relationship between sleep apnea and the risk factors. 

The material for this study has been made available by the Ear, Nose and Throat Clinic at Kalmar County Hospital, Sweden.

Due to the fact that the patients in the study share many of the same characteristics that come with obesity, there is little variation in the sample. Some factors that have turned out to be significant for OSAS in other studies do not show significance in this study.},
  author       = {Holm, Rebekka},
  keyword      = {sleep apnea,binary logistic regression,Fisher’s exact test,Logistic regression},
  language     = {swe},
  note         = {Student Paper},
  title        = {Statistisk analys av riskfaktorer för sömnapné},
  year         = {2013},
}