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Article

Effect of Obstructive Sleep Apnea on the Risk of Injuries—A Nationwide Population-Based Cohort Study

by
An-Che Cheng
1,
Gwo-Jang Wu
2,3,
Chi-Hsiang Chung
4,5,6,
Kuo-Hsiang Wu
7,
Chien-An Sun
8,9,
I-Duo Wang
10,* and
Wu-Chien Chien
4,5,6,11,*
1
Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei City 11490, Taiwan
2
Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei City 11490, Taiwan
3
Department of Obstetrics and Gynecology, Tri-Service General Hospital, National Defense Medical Center, Taipei City 11490, Taiwan
4
School of Public Health, National Defense Medical Center, Taipei City 11490, Taiwan
5
Department of Medical Research, Tri-Service General Hospital, Taipei City 11490, Taiwan
6
Taiwanese Injury Prevention and Safety Promotion Association (TIPSPA), Taipei City 11490, Taiwan
7
Department of Nursing, Tri-Service General Hospital, National Defense Medical Center, Taipei City 11490, Taiwan
8
Big Data Research Center, College of Medicine, Fu-Jen Catholic University, New Taipei City 24205, Taiwan
9
Department of Public Health, College of Medicine, Fu-Jen Catholic University, New Taipei City 24205, Taiwan
10
Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei City 11490, Taiwan
11
Graduate Institute of Life Sciences, National Defense Medical Center, Taipei City 11490, Taiwan
 
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Authors to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2021, 18(24), 13416; https://doi.org/10.3390/ijerph182413416
Submission received: 12 November 2021 / Revised: 8 December 2021 / Accepted: 10 December 2021 / Published: 20 December 2021
(This article belongs to the Special Issue Big Data for Public Health Research and Practice)
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Abstract

:
Obstructive sleep apnea (OSA) has been reported to increase the risk of motor vehicle accidents. However, only few studies have investigated the effects of OSA on overall risk injury. The aim of study is to investigate whether OSA increases the risk of overall injury. The data were collected during 2000–2015 from Taiwan’s National Health Insurance Research Database. A total of 8901 individuals diagnosed with OSA were inpatients, or outpatients at least three times were enrolled. Finally, 6915 participants with OSA were included as the study cohort. We matched the study cohort with a comparison cohort, at a ratio of 1:4. Cox proportional hazards regression was used to analyse the association between OSA and overall injury. Patients with OSA had 83.1% increased risk of overall injury, compared to non-OSA individuals [adjusted hazards ratio (HR) = 1.831, confidence interval (CI) = 1.674–2.020, p < 0.001]. In the stratified age group, patients aged ≧65 years had the highest risk of injury (adjusted HR= 2.014; CI = 1.842–2.222, p < 0.001). Patients with OSA were at a higher risk of falls, traffic injury, poisoning, suffocation, suicide, and abuse or homicide than non-OSA individuals, with falls and traffic injury as the leading causes of injuries. The data demonstrated that patients with OSA have a higher risk of overall injury. The study results can be a reference for developing injury prevention strategies in the future. The general population and clinicians should have more awareness regarding OSA and its negative effects on injury development.

1. Introduction

Obstructive sleep apnoea (OSA) is a prevalent, yet under-diagnosed respiratory disorder, characterised by frequent episodes of upper airway collapse during sleep. Approximately 1 billion adult population have sleep apnoea [1]. OSA causes sleep fragmentation and repetitive hypoxemia and is associated with various adverse outcomes, including daytime sleepiness, decreased learning skills, and impaired neurocognitive function [2]. OSA has been strongly associated with long-term health consequences, including hypertension, cardiovascular events, cerebrovascular disease, diabetes, and depression [3,4,5,6].
The relationship between OSA and motor vehicle accidents (MVAs) has been well-established [7,8] and become one of the top priorities of the Federal Motor Carrier Safety Administration in the United States. However, only few studies have investigated the relationship between OSA and its effect on injury development in the general adult population. In the present study, we used data from Taiwan’s National Health Insurance Research Database (NHIRD), a longitudinal nationwide population-based cohort study, with data of follow-up for more than 16 years, with an aim to determine whether OSA is associated with the risk of overall injury.

2. Material and Methods

2.1. Data Sources

We used data from the National Health Insurance Research Database (NHIRD) in Taiwan. Taiwan has started the National Health Insurance (NHI) program, since 1995. It includes the data of approximately 99% of the people in Taiwan (a total of 23.74 million people) and 97% of the clinics are covered under the NHI system [9]. The NHIRD contains several health registration records of the Taiwanese general population, including outpatient, inpatient, and emergency department data. Physicians coded the diagnosis according to the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM). The NHIRD has high accuracy and validity, in terms of diagnoses [10]. Therefore, the NHIRD offers representative data for medical- and health-related research. Moreover, the NHIRD encrypts and converts all the identification numbers in all NHIRD records to protect the privacy of all people registered in the program. Our study protocol was approved by the Institutional Review Board of Tri-Service General Hospital (TSGHIRB No. B-110-55).

2.2. Study Design and Participants

This population-based cohort study enrolled 1,936,512 outpatients and inpatients from the Longitudinal Health Insurance Database, between 1 January 2000 and 31 December 2015, in Taiwan. We included patients aged above 20 years who were diagnosed with OSA (ICD-9-CM code: 780.51, 780.53, 780.57) and had at least three outpatient visits or one hospitalization among the 8901 individuals. OSA is diagnosed by otorhinolaryngologists and pulmonologists, using overnight polysomnography (PSG) to detect the frequency of apnoeic and hypopnoeic events. The apnoea–hypopnoea index (AHI) is the average number of disordered breathing events per hour. OSA syndrome is defined as an AHI of ≥5 associated symptoms (e.g., excessive daytime sleepiness, fatigue, or impaired cognition) or an AHI of ≥15, regardless of associated symptoms [11]. Patients diagnosed with OSA and those who had injuries before 1 January 2000 were excluded. The index date was defined as the date of a new diagnosis of OSA. In total, 6915 participants who matched our inclusion criteria were assigned to the study cohort. Individuals without OSA diagnosis were randomly selected for the control group and matched with the OSA group by age, sex, index date, and comorbidities, using a four-fold propensity score matching. Among the control patients, we excluded those with a history of sleep disorders in the study period and with a medical history, following the exclusion criteria. The flowchart of the study design is shown in Figure 1.

2.3. Outcome and Comorbidity

All the participants were followed from the index date until the onset of injury or the end of 31 December 2015. Different categories of injury according to the ICD-9 diagnosis, such as fracture, dislocation, sprain and strains, intracranial/internal injury, open wound, injury to blood vessels, superficial injury, contusion, crushing, foreign body entering through orifice, burn, injury to nerves and spinal cord, poisoning and others, were included. We categorised the mechanisms of injuries according to the ICD-9 diagnosis, including traffic injury, falls, suffocation, other unintentional injuries, and suicide. Common comorbidities such as diabetes mellitus (DM), hypertension (HTN), hyperlipidaemia, cerebrovascular disease (CVD), stroke, obesity, anxiety, and depression were listed and compared the baseline characteristics between the two groups. The ICD-9-CM codes used in the present study are shown in Supplementary Table S1.

2.4. Statistical Analysis

The demographic features and common comorbidities between patients with OSA and non-OSA individuals were compared using the chi-square test. Mean patient age in both cohorts was calculated using Student’s t-test. The incidence rate (per 105 person-years) of injury was calculated according to sex, age, and comorbidities for each cohort. Age, sex, and concomitant comorbidities were included in the multivariable model for adjustment. Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated using multivariable Cox proportional hazards models. We evaluated the cumulative incidence of OSA-related injury using the Kaplan–Meier analysis and log-rank test. All statistical analyses were conducted using SPSS 22.0 software for Windows, version 22.0 (IBM Corp., Armonk, NY, USA), with a two-tailed test p value of <0.05 for statistical significance.

3. Results

3.1. Baseline Characteristics of the Patients in the Study

The study included 6915 patients (mean [SD] age, 56.11[17.94] years) in the OSA cohort and 12,100 patients (mean [SD] age, 56.14[18.04] years) in the control cohort, 2000–2015 (Figure 1). Data of baseline demographic characteristics and common comorbidities of patients are shown in Supplementary Table S2. Most patients in our study population were male (67.10%). Among the study population, 39.81% of patients were aged more than 65 years, 35.23% of patients were aged 45–64 years, and 24.96% of patients were aged 20–44 years. The distribution of age, sex, and common comorbidities was similar between the study and control cohorts.

3.2. Endpoint Characteristics of the Study

Information of the endpoint characteristics is presented in Table 1. At the end of the follow-up, injury events developed in 1770 patients in the OSA cohort and 6675 patients in the control cohort (Figure 1). The mean follow-up time was 10.29 ± 10.76 years in the OSA cohort and 10.94 ± 11.29 in the control cohort (Supplementary Table S3). The mean number of years to injury was 5.54 ± 4.22 in OSA cohort and 5.63 ± 4.33 in the control cohort (Supplementary Table S4). The prevalence of DM, HTN, stroke, and obesity in OSA cohort were higher than control cohort (all p < 0.001).

3.3. Comparison between the Incidence and Risk of Injury of the OSA and Control Cohorts

We stratified and analysed sex, age, and concomitant comorbidities for the risk of injury using Cox regression model as presented in Table 2. After adjusting for age, sex, and other concomitant comorbidities, patients with OSA had an 83.1% higher risk of injury (adjusted HR = 1.831 [95% CI, 1.674–2.202]; p< 0.001) than non-OSA individuals. Patients with OSA had a higher incidence of injury than the non-OSA individuals (2590 vs. 2278 per 105 person-years, p < 0.05). The Kaplan–Meier curve showed that the incidence of injury started to branch off in the first year in the OSA group and persisted until the end of the follow-up (log-rank; p < 0.001; Figure 2).
In the analysis of stratified age groups, OSA had the greatest impact on the age group of more than 65 years (adjusted HR = 2.014 [95% CI, 1.842–2.222]; p < 0.001), followed by the age group of 45–64 (adjusted HR = 1.746 [95% CI, 1.596–1.926]; p < 0.001) and the age group of 20–44 years (adjusted HR = 1.741 [95% CI, 1.592–1.921]; p < 0.001) (Table 2). The risk of injury in patients with OSA increased with concomitant comorbidities, including DM, HTN, hyperlipidaemia, CVD, stroke, obesity, anxiety, and depression (all p < 0.001).

3.4. Diagnosis and Causes of Injury

The subgroup analysis of injury, including its diagnosis and causes, through Cox regression, are presented in Table 3. For the diagnosis, patients with OSA had a higher risk of fracture, dislocation, intracranial injury, open wound, blood vessel injury, contusion and crushing injury, foreign body entering through an orifice, nerve and spinal cord injury, poisoning, and other injuries than non-OSA individuals.
For the causes of injury, falls had the highest incidence (490.26 injuries per 105 person-years), followed by traffic injury (440.50 injuries per 105 person-years). In unintentional injury, patients with OSA had higher risk for falls [adjusted HR = 1.564 (95% CI, 1.430–1.726); p < 0.001], traffic injury [adjusted HR = 1.808 (95% CI, 1.653–1.994); p < 0.001], poisoning (solid and liquid substances) [adjusted HR = 1.752 (95% CI, 1.068–1.933); p < 0.001], and suffocation [adjusted HR = 1.168 (95% CI, 1.602–1.289); p < 0.001] than the non-OSA individuals. In intentional injury, patients with OSA had a higher risk of suicide by 6.683-fold [adjusted HR = 6.683 (95% CI, 6.110–7.372); p < 0.001] and homicide or abuse by 10.888-fold [adjusted HR = 10.888 (95% CI, 9.955–12.012); p < 0.001] than the non-OSA individuals.

4. Discussion

This population-based cohort study demonstrated that patients with OSA had a higher incidence rate and 83.1% higher risk of overall injury than those without OSA. In the stratified age group, the older patients (≥65 years old) with OSA had a 2.01-fold greater risk of injury than those without OSA. Patients with OSA were at a higher risk of unintentional injuries, including falls and substance poisoning, traffic injury, and suffocation, than non-OSA individuals. In intentional injury, patients with OSA had a 6.68- and 10.88-fold greater risk of suicide and abuse or homicide-related injury, respectively, than non-OSA individuals.
Past studies [7,8] have reported that patients with OSA had a higher risk of developing MVA and crash-related injury than non-OSA individuals. Moreover, a strong relationship has been reported between OSA and the risk of occupational injury [2,12,13]. However, investigations on the relationship between OSA and its effect on injury development in the general population are limited. To the best of our knowledge, our study is the largest and longest nationwide cohort study that investigated the association between OSA and the risk of overall injury.
For the unintentional injuries, falls had the highest incidence, followed by traffic injury. The results were similar to previous observations [14,15], showing traffic injury and falls as the prevalent leading causes of unintentional injury in Taiwan, especially in the older population. For the risk of unintentional injury subtypes, patients with OSA had higher risks of falls, traffic injury, poisoning (solid and liquid substances), suffocation, and other unintentional injuries than non-OSA individuals. Our study provided information on the risk of different unintentional injury types in patients with OSA, which could be used as a reference for establishing injury prevention strategies in future studies.
The mechanism of OSA, and its association with different types of unintentional injuries, are not completely clear. There are several possible explanations for these findings. First, previous studies suggest neurocognitive defects in patients with OSA, including decline in cognition, attention, memory, vigilance, executive functioning, and even visuospatial/constructional abilities [16,17,18,19]. These may cause overestimation of their ability, misjudged environmental hazards, mistaken identification of inedible substances, such as disinfectants as medications, and ingestion of foreign bodies. Second, patients with OSA commonly present with poor sleep quality, nocturnal hypoxemia, and excessive daytime sleepiness [20]. Furdato et al. [21] demonstrated that healthy individuals with long-term poor sleep quality have worsened static and dynamic postural stability, compared to those with good sleep quality. Degache et al. [22] examined that the nocturnal oxygen saturation level has the strongest independent association with impaired daytime postural control. Sleep loss status has a negative effect on the driver’s maintenance of lane positions, steering in simulation, and reaction time [23]. Excessive daytime sleepiness also contributes to MVAs [7,24] and an increase in the risk of falls, especially in females [25,26]. Third, a previous study demonstrated that patients with OSA were likely to present with impaired swallowing reflex [27]. Another study [28] examined that symptomatic patients with OSA had an increased risk of pharyngeal aspiration than the normal control group. This mechanism is still unclear, but it may be due to the perturbed neural and muscular function of the upper airways [27]; thus, it may be associated with an increased risk of suffocation. Further investigations are needed for understanding OSA and its effect on different types of injuries.
The relationship between sleep apnoea and psychiatric disorders, including mood, anxiety, depression, and schizophrenia, is well-established [29,30,31]. For example, a previous study also demonstrated a positive association between OSA and suicidal thinking [32]. However, there are limited data comparing the risk of suicide-related injury between patients with and without OSA. Our study reported that OSA was significantly associated with suicide-related injury. Nevertheless, a recent large national sample study [33] found that sleep apnoea was not significantly associated with past-year suicide attempts, which was not consistent with the findings of our study. This inconsistency, assessed using single self-report items, may be due to many variables, including suicidal ideation, planning, and attempt. Thus, the methodology may have led to the underestimation of suicide prevalence. The present study demonstrated that OSA should be considered a risk factor for suicide-related injury. Moreover, the early diagnosis of OSA may provide clinicians the opportunity to discuss mental health with their patients, resulting in early prevention of suicide-related injury.
Although the specific mechanism of OSA in suicidality remains unclear, several hypotheses have been proposed to explain this relationship. For example, sleep disruption affected mental health, including increased impulsivity and irritability, difficulty in maintaining motivation, and emotional dysregulation [34], all of which may impair the patient’s ability to avoid suicidal thought and behaviour. Furthermore, chronic disruption of the sleep cycle can decrease mental and physical energy, potentially affecting the ability to deal with stress and mental difficulties [35]. Recent literature [36,37,38] revealed that OSA is associated with the development of many comorbidities, such as cardiovascular, cerebrovascular, and metabolic diseases, all of which may lead to decreased quality of life, indirectly increasing suicide risk. Future research is needed to investigate the mechanisms, as well as the direct and indirect effects of OSA on mental health.
Another important finding in the present study was that patients with OSA were 10.88 times more likely to be injured due to homicide or abuse than those without OSA, especially women, who are associated with a higher risk than men with OSA. To the best of our knowledge, this is the first study to prove that OSA is a novel risk factor for adult abuse or homicide-related injury; however, the underlying reasons have yet to be elucidated. This result may be because patients with OSA had a higher prevalence of comorbidities [36,37,38], such as cardiovascular and neurocognitive dysfunction [18,19] and psychiatric disorders [30,31], than non-OSA individuals. As mentioned above, these were the risk factors for abuse or homicide victimization [39,40]. Therefore, they are more likely to become a victim of abuse or homicide than those without OSA. Moreover, snoring could impair the sleep and life quality of their bed partner or caregivers [41] and lead to frustration, irritation, exhaustion, depression, strained relationship, and marital dissatisfaction [42,43]. In some cases, this may result in domestic violence [44], which was accounts for approximately 40% of homicide cases in the U.S. [45]. Abuse may be emotional, physical, or sexual. However, we were unable to conduct a detailed analysis on abuse because the database contained no information on its various types. Further research should be conducted to better understand the relationship between OSA and the type of abuse and underlying mechanisms. Subsequently, this will facilitate the development of abuse prevention strategies, practices, and policies.
The present study showed that the increased incidence and risk in injury was most pronounced among elderly patients with OSA aged more than 65 years, followed by those aged 45–64 years and 20–44 years. These results suggest that the effects of OSA on injury development were greater in elderly patients than in younger patients. There are several possible explanations for this result. A recent study [46] compared clinical and polysomnographic characteristics of patients with OSA above and below 65 years of age. The results revealed that the apnoea–hypopnea index was higher, whereas mean oxygen saturation was lower in elderly patients than in younger patients. All of the above findings may be associated with poorer sleep quality, intermittent chronic hypoxia, and increased daytime sleepiness in older patients. Poor sleep quality may have impaired postural control and stability [21,22]. Chronic hypoxia may affect brain functions, such as attention, vigilance, and coordination [16,47,48]. Moreover, excessive daytime sleepiness is associated with at least one event of fall in one year, especially in elderly female [26]. The result of the current study suggests that clinicians should pay more attention to the effect of OSA on injury development and implement injury preventive measures for older patients with OSA.
This study has some limitations. First, the polysomnographic data were not available. We could not associate the disease severity with injury risk. There was a lack of data on the degree of excessive daytime sleepiness, hypoxemia, sleep fragmentation, and sleep quality, which limited the generalisation of the results. Second, no comprehensive information on patient characteristics was recorded in the Taiwan’s NHIRD, such as on lifestyle, behaviour pattern, alcohol consumption, psychosocial and environmental factors, and medications. Patients with OSA had a higher prevalence of cardiovascular [36,37,38] and psychiatric disorders [30,31] than non-OSA individuals. They may be prescribed with anti-depressive and anti-hypertensive agents, which may have caused dizziness [49,50], hyper somnolence [50,51], or cognitive dysfunction [52]; however, we could not confirm the drug effect on the risk of injury. Third, only those who have symptoms and sought medical service at clinics or emergency rooms were included in the database because many patients with OSA are asymptomatic [53]. Thus, that may have caused us to underestimate the OSA prevalence or injury incidence, and we could not exclude the individuals without OSA diagnosis in the control group who were actually victims of OSA. Fourth, OSA and insomnia are two prevalent sleep disorders, and they often coexist interacting to amplify an overall more severe illness [54,55,56]. A recent study reported the prevalence of comorbid insomnia and OSA (COMISA); 35% of insomnia patients have an AHI of ≥5, and 29% have an AHI of ≥15, while 38% of patients with OSA meet insomnia criteria [57]. However, in our study, we could not exclude the patients with COMISA or those who are comorbid, with other sleep disorders. Fifth, previous studies demonstrated continuous positive airway pressure (CPAP) treatment and surgical intervention could reduce the risk of MVA [58], improve cognitive dysfunction [59], and reduce daytime sleepiness [60] in patients with OSA, which might have resulted in a decreased injury risk. However, we could not exclude the patients with OSA who accepted CPAP or surgery. This is a potential confounding factor, which may have affected the study results.

5. Conclusions

OSA was independently associated with an increased overall injury risk. The effect of OSA on the risk of injury increases with age. Patients with OSA aged >65 years old, 45–64 years old, and 45–64 years old were 2.014, 1.746, and 1.741, respectively, with -fold greater risk of injury than those without OSA. For the different causes of injury, patients with OSA were at a higher risk of falls and substances poisoning, traffic injury, suffocation, suicide-related injury, and abuse- or homicide-related injury. The results of this study may serve as a reference for the development of injury prevention strategies. Moreover, the general population and clinicians should have more awareness, regarding OSA and its negative effects on injury development.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/ijerph182413416/s1. Table S1: the ICD-9-CM codes used in the study. Table S2: baseline characteristics of cohort and comparison cohort in the baseline. Table S3 years of follow-up. Table S4: years to injury.

Author Contributions

Conceptualization, A.-C.C.; Data curation, C.-A.S. and G.-J.W.; funding acquisition, G.-J.W. and W.-C.C.; methodology, A.-C.C., C.-A.S., and C.-H.C.; project administration, G.-J.W., K.-H.W., I.-D.W., and W.-C.C.; resources, C.-A.S. and W.-C.C.; software, C.-H.C. and W.-C.C.; supervision, K.-H.W., C.-A.S., I.-D.W., and W.-C.C.; writing—original draft preparation, A.-C.C. and I.-D.W.; writing—review and editing, A.-C.C., K.-H.W., C.-A.S., I.-D.W., and W.-C.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Tri-Service General Hospital Research Foundation (TSGH-B-110012, TSGH-B-111018 and TSGH-D-110130), and the sponsor has no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Institutional Review Board of Tri-Service General Hospital (TSGHIRB No. B-110-55).

Informed Consent Statement

Not applicable.

Acknowledgments

We appreciate the Health and Welfare Data Science Center, Minis try of Health and Welfare (HWDC, MOHW), Taiwan, for providing the National Health Insurance Research Database (NHIRD).

Conflicts of Interest

The authors declare no conflict of interest.

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Ijerph 18 13416 g001 550
Figure 1. Flowchart of study group selection from the National Health Insurance Research Database in Taiwan.
Figure 1. Flowchart of study group selection from the National Health Insurance Research Database in Taiwan.
Ijerph 18 13416 g001
Ijerph 18 13416 g002 550
Figure 2. Kaplan-Meier for cumulative survive of injury among aged 20 and over stratified by OSAs with log-rank test.
Figure 2. Kaplan-Meier for cumulative survive of injury among aged 20 and over stratified by OSAs with log-rank test.
Ijerph 18 13416 g002
Table
Table 1. Endpoint characteristics of the study.
Table 1. Endpoint characteristics of the study.
OSAsTotalWithWithoutP
Variablesn%n%n%
Total34,575 691520.0027,66080.00
Injury 0.011
Without26,13075.57514574.4020,98575.87
With844524.43177025.6667524.13
Gender 0.999
Male23,20067.10464067.1018,56067.10
Female11,37532.90227532.90910032.90
Age (y)66.87 ± 19.4866.04 ± 18.2667.08 ± 19.77<0.001
Age group (y) <0.001
20–44687119.87152922.11534219.31
45–6411,74633.97244235.31930433.64
≧6515,95846.15294442.5713,01447.05
DM <0.001
Without28,99383.86557380.5923,42084.67
With558216.14134219.41424015.33
HTN <0.001
Without28,24781.70544278.7022,80582.45
With632818.30147321.30485517.55
Hyperlipi
demia		 0.208
Without33,89598.03676697.8527,12998.08
With6801.971492.155311.92
CVD 0.399
Without31,67791.62631891.3725,35991.68
With28988.385978.6323018.32
Stroke <0.001
Without31,76191.86623190.1125,53092.30
With28148.146849.8921307.70
Obesity <0.001
Without34,55099.93690099.7827,65099.96
With250.07150.22100.04
Anxiety 0.001
Without34,45599.65687699.4427,57999.71
With1200.35390.56810.29
Depression 0.004
Without34,33699.31684999.0527,48799.37
With2390.69660.951730.63
P: Chi-square/Fisher exact test on category variables and t-test on continue variables. Abbreviations: OSA = obstructive sleep apnea; y = years; DM = diabetes mellitus;.HTN = hypertension; CVD = cardiovascular disease.
Table
Table 2. Injury factors stratified by variables by using Cox regression.
Table 2. Injury factors stratified by variables by using Cox regression.
OSAWithWithoutWith vs. Without
StratifiedEventsPYsRate
(per 105 PYs)		EventsPYsRate
(per 105 PYs)		RatioAdjusted HR95% CI95% CIP
Total177068,331.702590.316775297,346.612278.491.1371.8311.6742.020<0.001
Gender
Male116243,533.392669.224077173,185.762354.121.1341.8261.6702.015<0.001
Female60824,798.312451.782698124,160.852172.991.1281.8171.6612.005<0.001
Age group (y)
20-4429814,504.712054.5179741,937.461900.451.0811.7411.5921.921<0.001
45-6473028,126.242595.44228495,380.392394.621.0841.7461.5961.926<0.001
≧6574225,700.752887.073694160,028.752308.341.2512.0141.8422.222<0.001
DM
Without149157,447.272595.425533240,331.502302.241.1271.8161.6602.003<0.001
With27910,884.432563.29124257,015.112178.371.1771.8951.7332.091<0.001
HTN
Without143552,024.022758.345430221,961.832446.371.1281.8161.6602.003<0.001
With33516,307.682054.25134575,384.781784.181.1511.8541.6952.046<0.001
Hyperlipi
demia
Without171165,627.412607.146714288,258.772329.161.1191.8031.6481.989<0.001
With592704.302181.71619087.84671.233.2505.2354.7865.775<0.001
CVD
Without164261,274.032679.766321266,420.252372.571.1291.8191.6632.007<0.001
With1287057.671813.6345430,926.351468.001.2351.9901.8192.195<0.001
Stroke
Without165962,945.262635.626393273,043.042341.391.1261.8131.6582.000<0.001
With1115386.452060.7338224,303.571571.791.3112.1121.9312.330<0.001
Obesity
Without176768,113.392594.206772297,084.572279.491.1381.8331.6762.022<0.001
With3218.311374.203262.031144.891.2001.9331.7672.133<0.001
Anxiety
Without176368,218.882584.336764296,229.622283.361.1321.8231.6672.011<0.001
With7112.826204.42111,116.98984.806.30010.1479.27711.194<0.001
Depression
Without174767,546.472586.376718294,942.012277.741.1351.8291.6722.018<0.001
With23785.232929.06572404.592370.461.2361.9901.8192.196<0.001
Abbreviations: OSA = obstructive sleep apnea; y = years; PYs = person-years; Adjusted HR = adjusted hazard ratio: adjusted for the variables listed in Table 2; CI = confidence interval.
Table
Table 3. Factors of injury subgroup by using Cox regression.
Table 3. Factors of injury subgroup by using Cox regression.
OSAWithWithoutWith vs. Without
Injury SubgroupEventsPYsRate
(per 105 PYs)		EventsPYsRate
(per 105 PYs)		RatioAdjusted HR95% CI95% CIp
Injury diagnosis
Fracture51368,331.70750.752321297,346.61780.570.9621.5491.4161.709<0.001
Dislocation2568,331.7036.59120297,346.6140.360.9071.4601.3351.611<0.001
Sprains and strains1868,331.7026.34153297,346.6151.460.5120.8250.7540.910<0.001
Intracranial / internal injury27368,331.70399.521,017297,346.61342.031.1681.8811.7202.076<0.001
Open wound13468,331.70196.10510297,346.61171.521.1431.8411.6842.032<0.001
Injury to blood vessels1668,331.7023.429297,346.613.037.73612.46011.39113.746<0.001
Superficial injury / contusion5568,331.7080.49276297,346.6192.820.8671.3971.2771.541<0.001
Crushing1868,331.7026.3432297,346.6110.762.4483.9423.6044.349<0.001
Foreign body entering through orifice968,331.7013.1735297,346.6111.771.1191.8021.6481.988<0.001
Injury to nerves
and spinal cord		568,331.707.3232297,346.6110.760.6801.0951.0011.2080.049
Poisoning13068,331.70190.25347297,346.61116.701.6302.6262.4012.897<0.001
Others injury56768,331.70829.781819297,346.61611.741.3562.1851.9972.410<0.001
Cause of injury
Traffic30168,331.70440.501167297,346.61392.471.1221.8081.6531.994<0.001
Poisoning
(solid and liquid substances )		768,331.7010.2428297,346.619.421.0881.7521.6021.933<0.001
Falls33568,331.70490.261501297,346.61504.800.9711.5641.4301.726<0.001
Suffocation568,331.707.3230297,346.6110.090.7251.1681.0681.289<0.001
Suicide8268,331.70120.0086297,346.6128.924.1496.6836.1107.372<0.001
Homicide/Abuse8768,331.70127.3256297,346.6118.836.76010.8889.95512.012<0.001
Intentionality
of injury
Unintentional112468,331.701644.924285297,346.611441.081.1411.8381.6812.028<0.001
Intentional16968,331.70247.32142297,346.6147.765.1798.3417.6269.202<0.001
Abbreviations: OSA = obstructive sleep apnea; y = years; PYs = person-years; Adjusted HR = adjusted hazard ratio: adjusted for sex, age, comorbidities (diabetes mellitus, hypertension, hyperlipidemia, cerebrovascular disease, stroke, obesity, anxiety, depression); CI = confidence interval. Unintentional: traffic; poisoning (solid and liquid substances); falls; suffocation. Intentional: suicide; homicide/abuse.
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Cheng, A.-C.; Wu, G.-J.; Chung, C.-H.; Wu, K.-H.; Sun, C.-A.; Wang, I.-D.; Chien, W.-C. Effect of Obstructive Sleep Apnea on the Risk of Injuries—A Nationwide Population-Based Cohort Study. Int. J. Environ. Res. Public Health 2021, 18, 13416. https://doi.org/10.3390/ijerph182413416

AMA Style

Cheng A-C, Wu G-J, Chung C-H, Wu K-H, Sun C-A, Wang I-D, Chien W-C. Effect of Obstructive Sleep Apnea on the Risk of Injuries—A Nationwide Population-Based Cohort Study. International Journal of Environmental Research and Public Health. 2021; 18(24):13416. https://doi.org/10.3390/ijerph182413416

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Cheng, An-Che, Gwo-Jang Wu, Chi-Hsiang Chung, Kuo-Hsiang Wu, Chien-An Sun, I-Duo Wang, and Wu-Chien Chien. 2021. "Effect of Obstructive Sleep Apnea on the Risk of Injuries—A Nationwide Population-Based Cohort Study" International Journal of Environmental Research and Public Health 18, no. 24: 13416. https://doi.org/10.3390/ijerph182413416

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