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. 2025 Sep 24;25:3063. doi: 10.1186/s12889-025-24344-1

Epidemiological characteristics of heat-related illness: a nationwide study in Taiwan

Wan-Yin Kuo 1,2,3,4, Chien-Cheng Huang 1,4,5, Chi-An Chen 3, Chung-Han Ho 6,7, Chien-Chin Hsu 1,#, Hung-Jung Lin 1,8, Shih-Bin Su 2,9,10, Jhi-Joung Wang 6,11, How-Ran Guo 3,12,✉,#
PMCID: PMC12461986  PMID: 40993647

Abstract

Background

Heat-related illness (HRI) is expected to occur more frequently and become a prominent issue worldwide in the context of global warming and climate change. Previous epidemiological studies of HRI were generally limited to selected populations or specific settings. The objective of this study was to characterize the epidemiological characteristics of HRI in a general population at the national level to fill the data gaps.

Methods

Using the National Health Insurance Research Database, we identified all HRI patients in Taiwan between 2000 and 2018. We described the epidemiological characteristics of the patients and evaluated the differences between the two sexes. In addition, we evaluated the mortality rates of different types of HRI.

Results

We identified 101,614 HRI patients, and male patients constituted the majority (56.2%). The mean age was 48.2 years, and most of the patients were between 20 and 44 years old (44.8%). In comparison with female patients, male patients were younger (46.4 vs. 50.5 years, p < 0.001) and more likely to receive treatment in hospitals (51.6% vs. 25.3%, p < 0.001). Among HRI, heat stroke was the most common diagnosis and had the highest mortality rate. The 7-day, 1-month, and 3-month mortality rates in heat stroke patients were 0.5%, 0.7% and 1.0%, respectively.

Conclusions

In Taiwan, patients with HRI are more likely to males and between 20 and 44 years old. Male patients were younger and more likely to receive treatment in hospitals. Heat stroke was the most common HRI and had the highest mortality rate, which calls for establishment of the prevention and treatment strategies.

Keywords: Epidemiology, Heat exhaustion, Heat related illness, Heat stroke, Heat syncope, Taiwan

Background

Rising global temperatures caused by climate change have profound effects on human health. Global temperatures have risen by approximately 1 °C compared to pre-industrial levels, with some regions experiencing increases of more than 2 °C [1]. It was estimated that vulnerable populations were exposed to an additional 475 million heatwave events in 2019 alone, leading to increased morbidity and mortality [2]. As temperatures continue to rise and extreme heat events grow in frequency and intensity, heat-related illness (HRI) is expected to occur more frequently and pose a major public health concern [3, 4].

HRI, disorders resulted from hyperthermia, is marked by a pathological elevation in core body temperature exceeding the thermoregulatory capacity [5]. Hyperthermia, which arises from environmental or exertional heat exposure, occurs when heat production exceeds the body’s ability to dissipate heat through mechanisms such as radiation, convection, and evaporation [6]. Prolonged hyperthermia can transition from a compensable phase to a noncompensable phase, resulting in systemic inflammatory responses, tissue injury, and multiorgan dysfunction [7, 8]. Recent studies have highlighted key contributors to the progression of hyperthermia, including intestinal ischemia, endotoxemia, and the release of inflammatory cytokines, which exacerbate systemic damages [6, 7]. These pathophysiologic changes underscore the severity of hyperthermia and its potential to progress to life-threatening conditions such as heat stroke.

​HRI comprises a broad spectrum of diseases ranging from mild illnesses such as heat cramp and heat edema, to more severe conditions including heat syncope and heat exhaustion, to the fatal condition of heat stroke [8, 9]. Heat stroke may lead to multiorgan failure and is a life-threatening condition with a high mortality rate if left untreated [4]. HRI may be caused by physical exercise, passive environmental exposure, or both [10]. Risk factors underlying HRI include age extremes, male sex, environmental factors, occupational exposure, and medical conditions such as cardiovascular diseases, diabetes mellitus, mental and pulmonary illnesses [4, 7, 9, 10]. Supportive care, rapid cooling measures, and rehydration with oral or intravenous fluids are the mainstay of treatments for HRI [911]. Mild to moderate HRI can be treated and discharged from the emergency departments (EDs). However, heat stroke patients generally require hospitalization or admission to intensive care unit [9, 10].

In the United States, heat-related injuries constitute the most common cause of environmental exposure-related injuries [12]. The Center for Disease Control and Prevention (CDC) reported a total of 3,066 heat-related deaths occurred in the United States during 2018–2020 [13]. The incidence of HRI was found to be 1.2 cases per 100,000 athletic exposures in high school athletes [14] and 1.77 cases per 1,000 person-years in Armed Forces [15]. An approximate average rate of ED visits for summertime HRI was 5 per 10,000 during 2006–2010 [16]. A recent study on an annual and national scale demonstrated the annual incidence rate of ED visits for HRI was 32.34 per 100,000 population in 2018, with an increase by an average of 2.85% per year from 2009 [17]. In Japan, deaths due to HRI occurred at a rate of about 500 per year since 2010 [18]. Previous epidemiological studies of HRI were generally limited to selected populations or specific settings (e.g., prehospital care, emergency department, and hospitalization). Therefore, the results might be biased or have limited use. Thus, we conducted a study to assess the incidence, demographic characteristics, and outcomes for HRI in the general population at the national level to fill the data gaps.

Methods

Data source

We used the National Health Insurance Research Database (NHIRD) to conduct this study, which contains registration files and original claim data for reimbursement from the National Health Insurance (NHI) program of Taiwan. The NHI was established in 1995 and had enrolled more than 99.9% of Taiwanese citizens in 2014 [19]. The NHIRD is one of the largest administrative health care databases in the world, which includes inpatient and outpatient data, prescribed medications, intervention procedures and the diagnoses of each claim that were coded by International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) or the International Classification of Diseases, Tenth Revision (ICD-10). NHIRD have been used for health care research, generating evidence to support clinical decisions and healthcare policy-making [20].

Identification of HRI patients and definitions of study variables

In this cross-sectional study, we identified patients aged 20 and above with a new diagnosis of HRI, determined by the ICD-9-CM code of 992 or ICD-10 code of T67, between January 1, 2000 and December 31, 2018 for hospitalization, emergency department care, or outpatient department care. Among the HRI patients, we further identified those with heat stroke (ICD-9-CM: 992.0 or ICD-10: T67.0), heat exhaustion (ICD-9-CM: 992.3–992.5 or ICD-10: T67.3–T67.5), heat syncope (ICD-9-CM: 992.1 or ICD-10: T67.1), heat cramps (ICD-9-CM: 992.2 or ICD-10: T67.2), heat fatigue (ICD-9-CM: 992.6 or ICD-10: T67.6), and other HRI (ICD-9-CM: 992.3–992.5 or ICD-10: T67.3–T67.5). We obtained variables including age, sex, season, monthly income, comorbidities, concomitant conditions, and medical facilities. We further categorized all the HRI patients into three age groups: 20–44, 45–64, and ≥ 65 years according to the definitions of adulthood, middle-aged persons, and elders by the Taiwanese government [21]. We identified seasons as spring (March, April, and May), summer (June, July, and August), autumn (September, October, and November), and winter (December, January, and February). Monthly income was classified as three subgroups: <20,000, 20,000-3999, and ≥ 40,000 New Taiwan Dollars (NTD). We studied medical comorbidities including hypertension (ICD-9-CM: 401–405 or ICD-10: I10–I16), diabetes (ICD-9-CM: 250 or ICD-10: E08–E13), hyperlipidemia (ICD-9-CM: 272 or ICD-10: E78), cardiovascular disease (ICD-9-CM: 390–398, 410–429, 440–448 or ICD-10: I00–I02, I05–I09, I20, I26–I28, I30–I52, I70–I75, I77–I79), chronic obstructive pulmonary disease (COPD, ICD-9: 490–492, 496 or ICD-10: J40, J410, J411, J418, J42, J430, J431, J432, J438, J439, J440, J441, J449), cerebrovascular disease (ICD-9-CM: 430–438 or ICD-10: I60–I69), renal disease (ICD-9-CM: 580–593 or ICD-10: N00–N20, N25–N29), metal disorder (ICD-9-CM: 290–319 or ICD-10: F01–F99), and malignancy(ICD-9-CM: 140–208 or ICD-10: C00–C69). These nine comorbidities were determined as being diagnosed if the patient had been coded at least three times in ambulatory care claims or once in hospital claims before a diagnosis of HRI. Concomitant conditions included seizure (ICD-9-CM: 345, 780.3 or ICD-10: R56, G40), rhabdomyolysis (ICD-9-CM: 728.88 or ICD-10: M6282), and shock (ICD-9-CM: 785.5 or ICD-10: R57) which coincided with a diagnosis of HRI. We also obtained the data on the types of medical facilities, hospitals or clinics, where HRI patients were treated. Furthermore, we calculated percentage of the HRI patients who visited ED based on the data from ED care and the percentage of the HRI patients who had hospitalizations based on the data from hospital claims. We also assessed 7-day, 1-month, and 3-month mortality rates of HRI, according to a previous study [22]. To ensure data accuracy and minimize potential bias, study subjects with missing data were excluded from the analysis.

Temperature data and geographic information

We obtained meteorological data on monthly mean temperature from Taiwan’s Central Weather Bureau. Taiwan is divided into 22 subnational divisions, comprising 6 special municipalities (Taipei, New Taipei, Taoyuan, Taichung, Tainan, and Kaohsiung), 13 counties (Hsinchu, Miaoli, Changhua, Nantou, Yunlin, Chiayi, Pingtung, Yilan, Hualien, Taitung, Penghu, Kinmen, and Lienchiang), and 3 cities (Keelung, Hsinchu, and Chiayi). We identified the administrative division that each HRI patient visited and calculated the incidence rate of the division through dividing the number of new incident HRI patients by mid-year population in 2010. Subsequently, we used ArcGIS Version 10.8 (ESRI, Redlands, CA, USA) to map the data, including incidence rate and average monthly mean temperature in each division.

Data analyses

We described the epidemiological characteristics of HRI patients and evaluated the differences between male and female patients. After performing a normality test, continuous variables such as age were presented as the mean with standard deviation (SD), and Student’s t-test was used to evaluate differences between groups. Categorical variables were expressed as frequencies with percentages, and Pearson’s χ² test was used to assess differences between groups. In addition, we assessed the mortality rates and the distributions of sex and age in different types of HRI. We carried out all analyses using the Statistical Analysis Software Version 9.3 (SAS Inc., Raleigh, NC, USA) at the significant level of 0.05 (two-tailed).

Results

Incidence rate of HRI

Between 2000 and 2018, there were a total of 101,614 patients experiencing HRI events. The incidence rates of HRI increased gradually, ranging from 1.76 per 10,000 population in 2000, to 4.17 per 10,000 population in 2018 (Fig. 1). In different types of HRI, heat stroke had the highest incidence rate, followed by heat exhaustion (Fig. 1).

Fig. 1.

Fig. 1

Incidence rates of overall and different types of heat-related illness in Taiwan between 2000 and 2018

Descriptive analysis of the HRI patients

Of the 101,614 HRI patients, 56.2% were males, and the mean age was 48.2 ± 18.0 years, with most of the patients in the age groups of 20–44 years (44.8%). Most of the HRI occurred in summer (67.9%) and in those with monthly income less than 20,000 NTD (65.9%). As to medical comorbidities, 22.2% of the HRI patients had hypertension, 12.3% had mental disorder, and 10.0% had hyperlipidemia. Less than 1% of the HRI patients had concomitant conditions such as seizure, rhabdomyolysis, or shock. Nearly 60% of the HRI patients sought medical care in clinics (Table 1). The proportion of the HRI patients who had visited an ED care was 22.2%, and only 4.9% of all HRI patients were hospitalized.

Table 1.

Demographic characteristics, comorbidities, concomitant conditions, medical facilities and dispositions in patients with heat-related illness in Taiwan between 2000 and 2018

Total Male Female
N % N % N % p valuea
Cases 101,614 100 57,131 56.2 44,483 43.8
Age (year) < 0.001
mean ± SD 48.2 ± 18.0 46.4 ± 18.1 50.5 ± 17.6
Age group (year) < 0.001
 20–44 45,583 44.8 28,292 49.5 17,291 38.9
 45–64 34,317 33.8 17,943 31.4 16,374 36.8
 ≥ 65 21,714 21.4 10,896 19.1 10,818 24.3
Seasonb < 0.001
 Spring 15,572 15.3 8773 15.4 6799 15.3
 Summer 68,977 67.9 38,772 67.9 30,205 67.9
 Fall 13,581 13.4 7969 14.0 5612 12.6
 Winter 3484 3.4 1617 2.8 1867 4.2
Monthly incomec < 0.001
 < 20,000 NTD 63,868 65.9 35,563 65.9 28,305 66.0
 20,000–39,999 NTD 22,062 22.8 11,642 21.6 10,420 24.3
 ≥ 40,000 NTD 10,957 11.3 6784 12.6 4173 9.7
Comorbidity
 Hypertension 22,577 22.2 11,699 20.5 10,878 24.5 < 0.001
 Diabetes 10,010 9.9 5179 9.1 4831 10.9 < 0.001
 Hyperlipidemia 10,124 10.0 5094 8.9 5030 11.3 < 0.001
 Cardiovascular disease 9293 9.1 5026 8.8 4267 9.6 < 0.001
 COPD 3360 3.3 2267 4.0 1093 2.5 < 0.001
 Cerebrovascular disease 3679 3.6 2243 3.9 1436 3.2 < 0.001
 Renal disease 5875 5.8 4204 7.4 1671 3.8 < 0.001
 Mental disorder 12,452 12.3 6060 10.6 6392 14.4 < 0.001
 Malignancy 2254 2.2 1175 2.1 1079 2.4 < 0.001
Concomitant condition
 Seizure 635 0.6 545 1.0 90 0.2 < 0.001
 Rhabdomyolysis 421 0.4 367 0.6 54 0.1 < 0.001
 Shock 324 0.3 256 0.5 68 0.2 < 0.001
Medical facilityd < 0.001
 Hospital 40,705 40.1 29,460 51.6 11,245 25.3
 Clinic 60,907 59.9 27,670 48.4 33,237 74.7

SD standard deviation, NTD New Taiwan Dollars, COPD chronic obstructive pulmonary disease

aComparison between males and females

bSpring: March, April, and May; summer: June, July, and August; autumn: September, October, and November; winter: December, January, and February

cNot all the patients had information on monthly income

dNot all the patients had information on medical facility

Comparisons between male and female patients

In comparison with female patients, male patients were younger (46.4 vs. 50.5 years, p < 0.001) and had higher proportions of having seizure (1.0% vs. 0.2%, p < 0.001), rhabdomyolysis (0.6% vs. 0.1%, p < 0.001), and shock (0.5% vs. 0.2%, p < 0.001). Male patients had a lower prevalence of all medical comorbidities evaluated, except for COPD, cerebrovascular diseases, and renal diseases. Additionally, male patients were more likely to receive treatment in hospitals (51.6% vs.25.3%, p < 0.001) (Table 1).

Sex, age, and mortality rates in different types of HRI

In all types of HRI, most of the patients were male except for “other HRI.” Most of the patients were in the age groups of 20–44 years across different diagnoses (Table 2). Among the diagnoses, heat stroke had the highest mortality rate (Fig. 2). The 7-day, 1-month, and 3-month mortality rates in heat stroke patients were 0.5%, 0.7% and 1.0%, respectively (Table 2).

Table 2.

Sex, age and mortality in different types of heat-related illness

Heat stroke Heat exhaustion Heat syncope Heat cramp Heat fatigue Other HRI
N % N % N % N % N % N %
Total 38,752 100.0 23,309 100.0 6753 100.0 7765 100.0 18,546 100.0 10,809 100.0
Sex
 Male 21,513 55.5 15,049 64.6 4148 61.4 5574 71.8 9506 51.3 4384 40.6
 Female 17,239 44.5 8260 35.4 2605 38.6 2191 28.2 9040 48.7 6425 59.4
Age groups
 20–44 15,400 39.7 11,306 48.5 2740 40.6 4288 55.2 7999 43.1 5713 52.9
 45–64 13,860 35.8 7534 32.3 2223 32.9 2596 33.4 6205 33.5 3378 31.3
 ≥65 9492 24.5 4469 19.2 1790 26.5 881 11.4 4342 23.4 1718 15.9
Mortality
 7 days 200 0.52 39 0.17 20 0.30 9 0.12 5 0.03 8 0.07
 1 month 278 0.72 80 0.34 31 0.46 17 0.22 12 0.06 13 0.12
 3 months 400 1.03 143 0.61 67 0.99 30 0.39 55 0.30 26 0.24

Fig. 2.

Fig. 2

The 7-day, 1-month, and 3-month mortality rates of different types of heat-related illness

Geographic distributions of HRI

Geographic distribution showed that the incident HRI patients were observed more in Hsinchu, Miaoli, and Yilan that located in the subtropical zone (Fig. 3).

Fig. 3.

Fig. 3

Geographic distribution of incident heat-related illness between 2000 and 2018. The color was for temperature gradient, and lines or dots were for levels of incidences rates by division

Discussion

This nationwide study described the epidemiological characteristics of HRI in Taiwan between 2000 and 2018. The incidence of HRI increased gradually over a 19-year period. The majority of HRI patients were male and young. Male patients were younger and more likely to receive treatment in hospitals than female patients. Most of the HRI patients sought medical care in clinics. Among the different types of HRI, heat stroke had the highest incidence rate and mortality rate.

Previous nationwide studies on the incidence of HRI were limited to specific populations of interest, such as patients with ED visits [16, 17], high school athletes [14], and military personnel [15]. In contrast, this study described the epidemiological characteristics of HRI in a general population and revealed that the incidence rates of HRI increased gradually, ranging from 1.76 per 10,000 population in 2000, to 4.17 per 10,000 population in 2018. The results confirmed the concern of an increased incidence of HRI under the scenario of global warming.

This study showed that there were more male HRI patients than female HRI patients, which is consistent with previous studies [16, 17, 23, 24]. A systematic review investigating the impact of sex on occurrence of HRI across the lifespan found that males had a significantly higher risk of HRI compared to females. The reasons for this difference may include physiological, psychological, and behavioral factors [25]. Studies have shown that females were more likely to report symptoms in a heat event than males [26, 27], while males were more likely to experience more severe HRI than females [25]. In our study, we found that male patients had a higher percentage of concomitant conditions and were more likely to receive treatment in hospitals compared to female patients, indicating that male patients might be in more severe conditions than female patients when they seek for medical care for HRI. However, in different types of HRI, the sex difference varied, from 71.8% males in the heat cramp group to 51.3% in the heat fatigue group. The results provide an implication that preventive measures taken for HRI should be more focus on male.

Regarding other demographic characteristics in this study, the mean age for HRI patients was 48.2 years with majority of the patients in the 20 to 64 age group (44.8% in 20–44 age group, and 33.8% in 45–64 age group), which was similar to a study describing Emergency Medical Services activation for HRI in the United States [28]. In different types of HRI, this study showed that the highest proportion of HRI cases occurred in the 20–44 age group across all HRI subtypes. This aligned with previous research suggesting that occupational exposure, outdoor physical activity, and lifestyle factors are major contributors to HRI risk in this age group [18, 28, 29]. We also found that male HRI patients tend to be younger than female patients, which might be attributed to several factors. Younger males are more likely to engage in high-risk occupations such as construction, agriculture, and manual labor, which involve prolonged outdoor exposure to heat and physically demanding activities [18, 30]. Behavioral factors also play a role, as younger males had lower risk awareness and underestimated the dangers of heat exposure and delay preventive measures, such as hydration or seeking shade [25]. These findings underscore the need for targeted interventions, including workplace safety policies, education on heat risks, and awareness campaigns, to reduce HRI risk in younger males. In terms of socioeconomic status, people with lower socioeconomic status or those living in lower income household were found to be at increased risk for HRI [4, 29]. Our study found that most of the HRI patients were in the lowest income group (65.9%), which was consistent with previous studies.

In this study, a very small proportion of HRI patients had concomitant conditions such as seizure, rhabdomyolysis, or shock, and only 4.9% of HRI patients were hospitalized. Previous studies using national ED database in the United States demonstrated that 6.5–12% of HRI patients were admitted to hospitals [12, 16, 24]. The difference might be attributable to differences in the health care system, geographic region, etc. However, it still showed that most of HRI patients were treated and released without complicated situations, either in the ED or in the general population. We also found that nearly 60% of HRI patients sought medical care in clinics. The healthcare system in Taiwan is characterized by good accessibility and comprehensive population coverage [31]. Patients have easy access to clinics with low co-payment and short waiting times [32]. Since the majority of HRI can be benign and reversed [10], clinics should be a suitable medical facility for treatment in most cases.

Our study showed that heat stroke was the most common type of HRI, which was different from the previous studies. Most previous studies revealed that heat exhaustion was the most common type of HRI in the ED [12, 16, 24]. To date, the diagnosis of HRI still relies on clinical presentations, without a single diagnostic test to confirm it [10]. Clinically, heat stroke is characterized by a core temperature exceeding 40 °C with central nerve system dysfunction [4]. Early neurological manifestations of heat stroke may include dizziness, weakness, nausea, vomiting, and confusion [4, 33]. It is generally advised that any changes in mental status in patients with heat exhaustion must be considered as heat stroke regardless of the core temperature [9]. As heat exhaustion may progress to heat stroke, and early neurological presentations are nonspecific, it may be difficult to differentiate between these two diagnoses especially in the early stage of clinical manifestations [33]. Therefore, a portion of heat exhaustion cases might be categorized as heat stroke. In addition, during hot weather, the Taiwanese government frequently advocated for instructions and educations on heat stroke [34], which may raise the awareness for people experiencing HRI to seek medical care early and for clinical physicians with a high index of suspicion in diagnosing heat stroke.

Regarding the geographic distributions of HRI, we found that the incident rate was higher in Hsinchu, Miaoli, and Yilan that located in the subtropical region rather than in the tropical region. It indicated that the occurrence of HRI was not merely related to ambient temperature. Other factors such as geographic and climate factors, occupational exposure, availability and usage of air conditioning, and acclimatization, may also contribute to the occurrence of HRI [16, 24].

An obvious strength of this study was its investigation of the epidemiological characteristics of HRI in a general population, which distinguished it from previous studies. We believe that the results of this study can provide additional knowledge on HRI. However, this study still had some limitations. First, the diagnosis of HRI was based solely on diagnostic codes and misclassification bias may exist. It is possible that a clinical physician may choose the diagnostic code of heat stroke, instead of heat exhaustion, for a patient with severe symptoms after heat exposure but not really meeting the strict criteria of heat stroke. This might lead to an overestimate of heat stroke. Second, the NHIRD did not provide information on the etiology of HRI, body mass index, alcohol drinking habits, and other sociodemographic factors such as education level, Therefore, we could not investigate these factors in this study. Third, we only obtained data on ambient temperature and the incident HRI patients for mapping the geographic distribution of HRI and did not have information on other factors such as usage of air conditioning and occupational exposure. Likewise, we could not investigate these factors in this study. Fourth, the results in this study may not be generalizable to other nations due to the differences in contributing factors such as climate, health care system, and culture.

Conclusions

In Taiwan, HRI patients are more likely to be male and between 20 and 44 years old. Male patients were younger and more likely to receive treatment in hospitals. Heat stroke was the most common type of HRI and had the highest mortality rate, which highlights the need for the establishment of prevention and treatment strategies.

Acknowledgements

This study was supported by grant CMNCKU11011 from Chi Mei Medical Center. Our study used data from the Taiwan National Health Insurance Research Database established by the National Health Insurance Administration, Ministry of Health and Welfare, and managed by the National Health Research Institutes.

Abbreviations

HRI

Heat-related illness

ED

Emergency department

CDC

Center for Disease Control and Prevention

NHIRD

National Health Insurance Research Database

NHI

National Health Insurance

ICD-9-CM

International Classification of Diseases, Ninth Revision, Clinical Modification

ICD-10

International Classification of Diseases, Tenth Revision

NTD

New Taiwan Dollars

COPD

Chronic obstructive pulmonary disease

Authors’ contributions

WYK designed the study, interpreted the data, and was primarily responsible for writing the manuscript. CCH, HJL, and SBS provided support through study design and completion. CAC and CHH participated in data compilation and analysis. JJW provided access to the data. HRG performed critical revisions of the manuscript and supervised the completion of the manuscript. The author(s) read and approved the final manuscript.

Funding

This study was supported by grant CMNCKU11011 from Chi Mei Medical Center.

Data availability

The data supporting the findings of this study were obtained from the Taiwan National Health Insurance Research Database, managed by the Health and Welfare Data Science Center (HWDC), Ministry of Health and Welfare, Taiwan. Due to legal, ethical, and privacy restrictions, these data are publicly available to Taiwanese researchers. Requests for data access can be submitted as formal proposals to the HWDC (https://dep.mohw.gov.tw/DOS/cp-5283-63826-113.html), and payment is required.

Declarations

Ethics approval and consent to participate

This study was carried out according to the ethical principles of the Declaration of Helsinki and was approved by the Institutional Review Board of Chi Mei Medical Center (approval code: 11203-007). The requirement for informed consent was waived by the Institutional Review Board due to the use of de-identified and encrypted data, in compliance with the Taiwan Personal Data Protection Act. The data used in this study were accessed on-site at the Health and Welfare Data Science Center (HWDC), Ministry of Health and Welfare, Taiwan, which were publicly available for Taiwanese researchers upon approval of application and receipt of payment.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Chien-Chin Hsu and How-Ran Guo contributed equally to this work.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The data supporting the findings of this study were obtained from the Taiwan National Health Insurance Research Database, managed by the Health and Welfare Data Science Center (HWDC), Ministry of Health and Welfare, Taiwan. Due to legal, ethical, and privacy restrictions, these data are publicly available to Taiwanese researchers. Requests for data access can be submitted as formal proposals to the HWDC (https://dep.mohw.gov.tw/DOS/cp-5283-63826-113.html), and payment is required.


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