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Public Health

Factors influencing patient delay in individuals with obstructive sleep apnoea: a study based on an integrated model

ORCID Icon, ORCID Icon, , , , , , , ORCID Icon & show all
Pages 2816-2828 | Received 10 May 2022, Accepted 30 Sep 2022, Published online: 19 Oct 2022

Figures & data

Figure 1. Hypothesised integrative model of patient delay among individuals with obstructive sleep apnoea. HEM: the health ecological model; TPB: the theory of planned behaviour.

Figure 1. Hypothesised integrative model of patient delay among individuals with obstructive sleep apnoea. HEM: the health ecological model; TPB: the theory of planned behaviour.

Table 1. Sociodemographic information and disease characteristics s of the subjects (n = 309).

Table 2. Symptom type of the participants (n = 309).

Table 3. Descriptive statistics of patient delay (n = 309).

Table 4. Descriptive statistics of provider delay (n = 309).

Table 5. The univariate analysis of factors affecting the patient delay.

Table 6. Logistic regression analysis of factors associated with patient delay.

Data availability statement

The data that support the findings of this study are available from the corresponding author CL, upon reasonable request.