https://search.dev.ndltd.org/etd/massey/oai:mro.massey.ac.nz:10179/4128
type: CreativeWork
name: Obstructive sleep apnoea in Aotearoa/New Zealand : an objective and questionnaire-based approach to population prevalence and clinical screening : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Public Health at Massey University, Wellington Campus, New Zealand
description: The goals of this thesis were to objectively assess the prevalence of obstructive sleep apnoea syndrome (OSAS) among Māori and non-Māori adults in a community-based sample, and to develop a questionnaire-based multivariate predictive tool for OSAS, to help improve referral of patients to specialist sleep services, and prioritise waiting lists. This research was situated within the wider scope of ethnic inequalities in health between Māori and non-Māori, and was conducted within a Kaupapa Māori Research (KMR) framework. Between August 1999 and June 2001 letters and information were progressively sent out to 1200 (600 Māori, 600 non-Māori) Wellington residents aged 30-60 years selected randomly from the electoral rolls. Participants were asked to wear a small sleep monitoring device (MESAM4) for one night in their own homes and to fill out a sleep questionnaire. Contemporaneously, sleep and questionnaire data were collected from 510 consecutive patients aged 30-60 years, who were referred to the regional sleep clinic for suspected OSAS. In the community sample, OSA was found to be more prevalent among Māori. Among men, 21.98% of Māori had OSA (RDI≥ 5) compared with 11.37% of non-Māori. Among women, 6.28% of Māori and 3.02% of non-Māori respectively had OSA (RDI≥ 5). The higher risk among Māori appeared to be due to well-recognised risk factors such as higher body mass index (BMI) and larger neck circumference, rather than ethnicity per se. Using the combined data from the community and clinical samples, two clinical prediction models were developed using logistic regression modelling. One model (Model 1a) included age, sex, observed apnoeas, self-reported habitual snoring, subjective excessive daytime sleepiness, and BMI. The second model (Model 2a) included neck circumference instead of BMI. Model 1a correctly classified 82.50% of participants (sensitivity 72%, specificity 87%). Model 2a correctly classified 81.10% of participants (sensitivity 80%, specificity 82%). …
abstract: The goals of this thesis were to objectively assess the prevalence of obstructive sleep apnoea syndrome (OSAS) among Māori and non-Māori adults in a community-based sample, and to develop a questionnaire-based multivariate predictive tool for OSAS, to help improve referral of patients to specialist sleep services, and prioritise waiting lists. This research was situated within the wider scope of ethnic inequalities in health between Māori and non-Māori, and was conducted within a Kaupapa Māori Research (KMR) framework. Between August 1999 and June 2001 letters and information were progressively sent out to 1200 (600 Māori, 600 non-Māori) Wellington residents aged 30-60 years selected randomly from the electoral rolls. Participants were asked to wear a small sleep monitoring device (MESAM4) for one night in their own homes and to fill out a sleep questionnaire. Contemporaneously, sleep and questionnaire data were collected from 510 consecutive patients aged 30-60 years, who were referred to the regional sleep clinic for suspected OSAS. In the community sample, OSA was found to be more prevalent among Māori. Among men, 21.98% of Māori had OSA (RDI≥ 5) compared with 11.37% of non-Māori. Among women, 6.28% of Māori and 3.02% of non-Māori respectively had OSA (RDI≥ 5). The higher risk among Māori appeared to be due to well-recognised risk factors such as higher body mass index (BMI) and larger neck circumference, rather than ethnicity per se. Using the combined data from the community and clinical samples, two clinical prediction models were developed using logistic regression modelling. One model (Model 1a) included age, sex, observed apnoeas, self-reported habitual snoring, subjective excessive daytime sleepiness, and BMI. The second model (Model 2a) included neck circumference instead of BMI. Model 1a correctly classified 82.50% of participants (sensitivity 72%, specificity 87%). Model 2a correctly classified 81.10% of participants (sensitivity 80%, specificity 82%). …
author: Mihaere, Kara
keywords: Sleep apnoea, Maori health, Māori Doctoral Thesis
date published: 2004
date modified: 2026-07-27T20:17:00Z
provider: Massey University
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: Massey University