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Longitudinal and Cohort Studies in Public Health (316) Environmental Health (81) Public Health (207) Air Pollution (22)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46591, first published .
Association Between Long‑Term Exposure to Air Pollution and the Rate of Mortality After Hip Fracture Surgery in Patients Older Than 60 Years: Nationwide Cohort Study in Taiwan

Association Between Long‑Term Exposure to Air Pollution and the Rate of Mortality After Hip Fracture Surgery in Patients Older Than 60 Years: Nationwide Cohort Study in Taiwan

Association Between Long‑Term Exposure to Air Pollution and the Rate of Mortality After Hip Fracture Surgery in Patients Older Than 60 Years: Nationwide Cohort Study in Taiwan

Authors of this article:

Shu-Han Chuang1 Author Orcid Image ;   Yi-Jie Kuo2, 3 Author Orcid Image ;   Shu-Wei Huang4 Author Orcid Image ;   Han-Wei Zhang5, 6, 7, 8 Author Orcid Image ;   Hsiao-Ching Peng5 Author Orcid Image ;   Yu-Pin Chen2, 3 Author Orcid Image
Article Authors Cited by Tweetations (2) Metrics

    Original Paper

    1Division of General Practice, Department of Medical Education, Changhua Christian Hospital, Changhua, Taiwan

    2Department of Orthopedics, Wan Fang Hospital, Taipei Medical University, Taipei City, Taiwan

    3Department of Orthopedics, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan

    4Department of Applied Science, National Taitung University, Taitung City, Taitung County, Taiwan

    5MetaTrial Research Center, Biomedica Corporation, New Taipei, Taiwan

    6Program for Aging, China Medical University, Taichung, Taiwan

    7Institute of Population Health Sciences, National Health Research Institutes, Miaoli, Taiwan

    8Department of Electrical and Computer Engineering, Institute of Electrical Control Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan

    *these authors contributed equally

    Corresponding Author:

    Yu-Pin Chen, MD, PhD

    Department of Orthopedics

    Wan Fang Hospital

    Taipei Medical University

    No. 111, Sec. 3, Xinglong Rd, Wenshan District

    Taipei City, 116079

    Taiwan

    Phone: 886 933296411

    Email: 99231@w.tmu.edu.tw


    Background: To enhance postoperative patient survival, particularly in older adults, understanding the predictors of mortality following hip fracture becomes paramount. Air pollution, a prominent global environmental issue, has been linked to heightened morbidity and mortality across a spectrum of diseases. Nevertheless, the precise impact of air pollution on hip fracture outcomes remains elusive.

    Objective: This retrospective study aims to comprehensively investigate the profound influence of a decade-long exposure to 12 diverse air pollutants on the risk of post–hip fracture mortality among older Taiwanese patients (older than 60 years). We hypothesized that enduring long-term exposure to air pollution would significantly elevate the 1-year mortality rate following hip fracture surgery.

    Methods: From Taiwan’s National Health Insurance Research Database, we obtained the data of patients who underwent hip fracture surgery between July 1, 2003, and December 31, 2013. Using patients’ insurance registration data, we estimated their cumulative exposure levels to sulfur dioxide (SO2), carbon dioxide (CO2), carbon monoxide (CO), ozone (O3), particulate matter having a size of <10 μm (PM10), particulate matter having a size of <2.5 μm (PM2.5), nitrogen oxides (NOX), nitrogen monoxide (NO), nitrogen dioxide (NO2), total hydrocarbons (THC), nonmethane hydrocarbons (NMHC), and methane (CH4). We quantified the dose-response relationship between these air pollutants and the risk of mortality by calculating hazard ratios associated with a 1 SD increase in exposure levels over a decade.

    Results: Long-term exposure to SO2, CO, PM10, PM2.5, NOX, NO, NO2, THC, NMHC, and CH4 demonstrated significant associations with heightened all-cause mortality risk within 1 year post hip fracture surgery among older adults. For older adults, each 1 SD increment in the average exposure levels of SO2, CO, PM10, PM2.5, NOX, NO, NO2, THC, NMHC, and CH4 corresponded to a substantial escalation in mortality risk, with increments of 14%, 49%, 18%, 12%, 41%, 33%, 38%, 20%, 9%, and 26%, respectively. We further noted a 35% reduction in the hazard ratio for O3 exposure suggesting a potential protective effect, along with a trend of potentially protective effects of CO2.

    Conclusions: This comprehensive nationwide retrospective study, grounded in a population-based approach, demonstrated that long-term exposure to specific air pollutants significantly increased the risk of all-cause mortality within 1 year after hip fracture surgery in older Taiwanese adults. A reduction in the levels of SO2, CO, PM10, PM2.5, NOX, NO, NO2, THC, NMHC, and CH4 may reduce the risk of mortality after hip fracture surgery. This study provides robust evidence and highlights the substantial impact of air pollution on the outcomes of hip fractures.

    JMIR Public Health Surveill 2024;10:e46591

    doi:10.2196/46591

    Keywords

    air pollution; hip fracture; mortality; exposure; older adult; environmental hazard; hazard; morbidity 


    Hip fracture, a major concern for older adults, is associated with high mortality and morbidity as well as a high economic burden on the health care system [1,2]. Hip fracture surgery often leads to poor functional outcomes, such as reduced quality of life, substantial care demands, and limited mobility [3-9]. Several studies have reported an increased rate of mortality (12% to 40%) within 1 year after hip fracture in older adults [10-15]. Pneumonia and cardiovascular diseases are the predominant causes of mortality after hip fracture in these individuals [16-19]. Perioperative factors associated with the risk of 1-year mortality after hip fracture surgery include high baseline Charlson Comorbidity Index (CCI) scores, high American Society of Anesthesiologists grades, and prolonged surgery delay [4,20-22]. To adopt stratified care approaches, such as prioritizing geriatric patients with hip fractures at high risk of mortality for intensive care and to reduce the rate of mortality, clinicians must be aware of the relevant prognostic factors [15].

    Since the 1990s, air pollution has been recognized as a major global environmental problem, which leads to increased mortality and morbidity rates [23-26]. Exposure to air pollution is associated with the risk of mortality from various conditions, such as cancer [27], critical illness [28], chronic obstructive pulmonary disease [29], COVID-19 [30], and major surgery [31-33]. However, few studies have investigated the effects of air pollution on the outcomes of hip fractures.

    A recent meta-analysis revealed that high risks of osteoporosis and hip fracture were positively associated with increased exposure to air pollutants [34]. However, most studies on air pollution have focused only on bone marrow density and hip fracture incidence, but not on further prognosis or outcome. In 2022, Shi et al [35] reported that exposure to particulate matter having a size of <2.5 μm (PM2.5), particulate matter having a size of <10 μm (PM10), and nitrogen dioxide (NO2) may increase the risk of mortality within 30 days after hip fracture. Despite the limited samples of air pollutants collected and the lack of long-term evaluation, the aforementioned study may be the only one on the effects of air pollution on mortality after hip fracture surgery.

    Emerging evidence underscores the need for a more detailed understanding of the relationship between air pollution and post–hip fracture mortality, particularly given the complex interplay of factors involved in the health outcomes of older adults. Beyond the direct respiratory effects, air pollution has been implicated in systemic inflammation [36-42] and oxidative stress [43-52], both of which are central to the pathophysiological processes underlying hip fracture complications and mortality [53,54]. In other words, this complex interplay might go beyond immediate respiratory implications and include the broader landscape of systemic health. Besides, the older population, particularly those with preexisting comorbidities, may be disproportionately vulnerable to the adverse effects of air pollution due to reduced physiological reserves and impaired reparative mechanisms [55]. It is essential to recognize the holistic impact of air pollution, not only as a respiratory hazard but as a systemic disruptor influencing the delicate balance of physiological processes in older adults.

    Furthermore, hip fracture recovery is a complex process that involves various mechanisms that can be influenced by systemic factors. Investigations into the specific impact of long-term exposure to a comprehensive array of air pollutants on the 1-year postoperative mortality risk in this population have been limited, necessitating a deeper exploration into the biological underpinnings. As we consider the theoretical framework of hip fracture pathogenesis, we must delve into the ways air pollution may intricately contribute to the vulnerability and subsequent mortality risk in older adults following hip fracture surgery. By expanding our focus beyond the immediate postoperative period, we can unravel the enduring effects of air pollution on recovery trajectories and long-term outcomes in this vulnerable population.

    Therefore, we conducted this retrospective study to investigate the effects of decade-long exposure to various air pollutants on the risk of mortality after hip fracture surgery in older Taiwanese patients. We hypothesized that long-term exposure to air pollution would have an impact on the rate of 1-year mortality after hip fracture surgery. This study investigated the effects of decade-long exposure to 12 air pollutants—sulfur dioxide (SO2), carbon dioxide (CO2), carbon monoxide (CO), ozone (O3), PM10, PM2.5, nitrogen oxides (NOX), nitrogen monoxide (NO), NO2, total hydrocarbons (THC), nonmethane hydrocarbons (NMHC), and methane (CH4)—on older Taiwanese adults who underwent hip fracture surgery. This study seeks to address these critical knowledge gaps by using a population-based approach and comprehensive air pollutant exposure data, shedding light on the intricate relationship between air pollution and post–hip fracture outcomes. This knowledge has the potential to offer evidence that may serve as a foundation for government authorities to develop strategies aimed at mitigating air pollution. Such strategies could significantly alleviate the strain on the health care system.


    Data Source

    In this study, we collected relevant data from Taiwan’s National Health Insurance Research Database (NHIRD), which was launched by the Taiwanese government in 1995. This database contains the comprehensive medical information of approximately 98.29% of the population of Taiwan (approximately 23 million insured individuals) [56]; these data include the patient’s sex, date of birth, employment status, inpatient and outpatient diagnoses, medical procedures, drug use, treatment duration, and medical costs [57]. We obtained the patients’ baseline information from the Longitudinal Health Insurance Database 2000, a subset of the NHIRD, containing the data of 1 million randomly selected patients.

    All data generated or analyzed during this study are included in this published paper and its Multimedia Appendix files. More detailed data sets are not publicly available due to restrictions set by the Taiwan Ministry of Health and Welfare regarding the NHIRD in Taiwan. Researchers interested in accessing the data from the NHIRD must obtain approval from the Health and Welfare. For further information on data availability and access, please refer to the “Data Availability” section.

    Study Population

    Only patients with complete available data were included in this study. Patients with missing, inconsistent, or unknown records of baseline information, such as sex and birth year, were excluded from this study. The cohort included patients who underwent hip fracture surgery between January 1, 2000, and December 31, 2012. Additional exclusion criteria were as follows: unreasonable age (0 years old); younger than 60 years at baseline; with the outcome diagnosis prior to the start of the study (to prevent reverse causation bias); history of pathological fracture, open fracture, or major traffic accident before the initiation of the study; whose follow-up start date was the same as the follow-up end date. At last, participants were excluded if their survival date was before July 01, 2003, to ensure that the study population had a minimum of 10 years of exposure to air pollution. This criterion was established because the Environmental Protection Administration (EPA) data for this study was only available starting from July 1, 1993. Therefore, if a participant’s follow-up ended before July 1, 2003, their exposure to air pollution would be less than 10 years. The ICD-9 (International Classification of Diseases, Ninth Revision) codes established in the inclusion and exclusion criteria were listed in Multimedia Appendix 1.

    Exposure Data Collection

    We obtained information on the cumulative daily average levels of the aforementioned 12 air pollutants from 76 monitoring stations maintained by the Taiwan EPA, Executive Yuan. Data were collected for the period between July 1, 1993, and December 31, 2013. The cumulative daily average level of each pollutant was calculated over the 10 years before the end of follow-up. Then, the data were integrated with the patients’ residential postal codes obtained from their insurance registration data. Any change in residence during the assessment period was also considered. Specifically, changes in a patient’s place of residence during the study period were tracked by their information with insurance registration records, ensuring that any shifts in location were accounted for in the study’s data analysis to maintain accuracy and reliability.

    Outcomes and Confounders

    All-cause mortality was the major outcome of interest. We followed up on each patient until we reached the primary end point, which was determined by 2 conditions: death (withdrawal from the National Health Insurance program) or end of the study period (December 31, 2013). The survival duration was calculated in months. Several confounders were identified and adjusted for, such as age, urbanization level, insurance amount, CCI score, hip fracture procedure, comedications, antiosteoporosis medication, ambient temperature, season, and lag 0-1. Patient data such as age, insurance amount, CCI score, hip fracture procedure, comedications, and antiosteoporosis medication were also obtained from the NHIRD database. Specifically, the insurance amount was evaluated as an average value for the assessment period of air pollution exposure. Comorbidities were defined as those occurring before the survival date. ICD-9 codes or Anatomical Therapeutic Chemical Classification codes for the definition of hip fracture procedure, comedications, and antiosteoporosis medication were detailed in Multimedia Appendix 1. Information on the meteorological factor of ambient temperature was collected from the EPA. Data on the urbanization level were recorded according to the patients’ residence at the beginning of the follow-up period in accordance with the classification proposed by Liu et al [58]. Furthermore, the season was defined on the basis of the date. We also included the 2-day moving average of current- and previous-day levels of air pollutants before the primary end point (lag 0-1) as a confounder, considering the largest effect estimate reported in the literature [59-61].

    Statistical Analysis

    To identify the patient characteristics associated with air pollution, the cohort was divided into 3 tertiles on the basis of the level of exposure to each pollutant. The tertiles were compared using the chi-square test or 1-way ANOVA. Post hoc tests were performed to estimate between-tertile differences if significance was indicated. We plotted crude cumulative incidence curves of mortality within 1 year after hip fracture surgery for the 3 tertiles; between-tertile differences were assessed through log-rank tests. Hazard ratios (HRs) for exposure at 1 SD increment for 10 years were calculated using Cox regression models to evaluate the dose-response effects between air pollutants and mortality risk. The regression models were adjusted for the aforementioned confounders. All tests were 2-sided; statistical significance was set at P<.05. All analyses were performed using the MetaTrial Research Platform (Biomedica Corp).

    Ethical Considerations

    The Research Ethics Committee of Taipei Medical University, Taiwan, approved this study (TMU-JIRB N202203088). Because of the anonymity of patient data in the NHIRD, the requirement of informed consent was waived.


    Study Population

    After the inclusion of patients with complete available data (n=882,391), those who underwent hip fracture surgery during the study period were identified (n=9286). Patients who met the exclusion criteria (1349, 75, and 473 for the aforementioned 3 criteria, respectively) were further excluded from the analysis. Finally, 7426 patients were included in the analysis. Figure 1 illustrates the selection process.

    ‎
    Figure 1. Flowchart for patient selection. NHI: National Health Insurance. CH4: methane; CO: carbon monoxide; CO2: carbon dioxide; NMHC: nonmethane hydrocarbons; NO: nitrogen monoxide; NO2: nitrogen dioxide; NOX: nitrogen oxides; O3: ozone; PM10: particulate matters having a size of <10 μm; PM2.5: particulate matters having a size of <2.5 μm; SO2: sulfur dioxide; THC: total hydrocarbons.

    Characteristics and Descriptive Results

    Table 1 summarizes the characteristics of the included cohort (n=7426). The incidence of mortality was 929 (12.51%). The average age of the cohort was 78.54 years, and 2926 (39.40%) patients were men. The characteristics of patients exposed to each pollutant were assessed by dividing the cohort into 3 tertiles (Multimedia Appendices 2-13). Table 2 presents the mean and distribution values of each pollutant over the 10-year exposure period.

    Table 1. Baseline characteristics of the study cohort.
    CharacteristicsValues
    Deaths, n (%)929 (12.51)
    Men, n (%)2926 (39.40)
    Age (years), n (%)

    		60-793866 (52.06)

    		≥803560 (47.94)
    Age (years); mean (SD)78.54 (8.07)
    Urbanization level, n (%)

    		1 (highest)3272 (44.06)

    		22765 (37.23)

    		3711 (9.57)

    		4 (lowest)112 (1.51)

    		Unknown566 (7.62)
    Insurance amount (US $), n (%)

    		Financially dependent24 (0.32)

    		0.032 to 631.233537 (47.63)

    		631.26 to 1262.502373 (31.96)

    		≥1262.53119 (1.60)

    		Unknown1373 (18.49)
    CCIa score; mean (SD)4.57 (2.97)
    Hip fracture procedure, n (%)

    		Closed reduction of fracture with internal fixation448 (6.03)

    		Open reduction of fracture with internal fixation3957 (53.29)

    		Partial hip replacement3021 (40.68)
    Comedications, n (%)6344 (85.43)
    Antiosteoporosis medication, n (%)

    		Alendronate752 (10.13)

    		Risedronate0 (0)

    		Ibandronate11 (0.15)

    		Zoledronic0 (0)

    		Denosumab0 (0)

    		Raloxifene236 (3.18)

    aCCI score: Charlson Comorbidity Index.

    Table 2. Mean and distribution of air pollutants over the exposure period.

    		SO2a (ppbb)CO2c (ppmd)COe (ppm)O3f (ppb)PM10g (μg/m3)PM2.5h (μg/m3)NOXi (ppb)NOj (ppb)NO2k (ppb)THCl (ppm)NMHCm (ppm)CH4n (ppm)
    Mean (SD)4.14 (1.35)398.46 (11.50)0.55 (0.14)28.08 (2.56)55.68 (9.78)33.7 (6.85)25.43 (8.16)7.41 (4.41)18.02 (4.16)2.31 (0.17)0.30 (0.11)2.01 (0.11)
    T1o3.59393.970.4727.3150.2529.9820.594.6915.872.220.251.96
    T2p4.06401.510.6128.8358.4536.4928.327.7620.292.360.322.05

    aSO2: sulfur dioxide.

    bppb: parts per billion.

    cCO2: carbon dioxide.

    dppm: parts per million.

    eCO: carbon monoxide.

    fO3: ozone.

    gPM10: particulate matter <10 μm in size.

    hPM2.5: particulate matter <2.5 μm in size.

    iNOX: nitrogen oxides.

    jNO: nitrogen monoxide.

    kNO2: nitrogen dioxide.

    lTHC: total hydrocarbons.

    mNMHC: nonmethane hydrocarbons.

    nCH4: methane.

    oT1: 33.33rd percentile.

    pT2: 66.66th percentile.

    Cumulative Mortality Incidence

    Table 3 presents the incidence of mortality within 1 year after hip fracture surgery across the tertiles, as well as the corresponding P value (1-way analysis of variance and post hoc tests). The cumulative incidence curves revealed substantial differences in the direction and strength of the associations between each air pollutant and the incidence of mortality (Figures 2-13).

    Table 3. Incidence of mortality within 1 year after hip fracture surgery across tertiles.
    PollutantsTertiles of average daily exposure, n/n (%)P valuesTotal, n/n (%)

    		T1 (lowest)T2T3 (highest)

    SO2a229/2391 (9.58)264/2541 (10.39)436/2494 (17.48)<.001929/7426 (12.51)
    CO2b252/1271 (19.83)86/1269 (6.78)64/1272 (5.03)<.001402/3812 (10.55)
    COc180/2438 (7.38)300/2512 (11.94)449/2476 (18.13)<.001929/7426 (12.51)
    O3d574/2343 (24.50)178/2607 (6.83)177/2476 (7.15)<.001929/7426 (12.51)
    PM10e274/2475 (11.07)266/2335 (11.39)389/2616 (14.87)<.001929/7426 (12.51)
    PM2.5f240/2417 (9.93)245/2417 (10.14)361/2418 (14.93)<.001846/7252 (11.67)
    NOXg199/2439 (8.16)329/2511 (13.10)401/2476 (16.20)<.001929/7426 (12.51)
    NOh215/2409 (8.92)325/2541 (12.79)389/2476 (15.71)<.001929/7426 (12.51)
    NO2i197/2475 (7.96)311/2475 (12.57)421/2476 (17.00)<.001929/7426 (12.51)
    THCj118/2442 (4.83)231/2441 (9.46)573/2442 (23.46)<.001922/7325 (12.59)
    NMHCk215/2442 (8.80)305/2441 (12.49)402/2442 (16.46)<.001922/7325 (12.59)
    CH4l100/2442 (4.10)229/2441 (9.38)593/2442 (24.28)<.001922/7325 (12.59)

    aSO2: sulfur dioxide.

    bCO2: carbon dioxide.

    cCO: carbon monoxide.

    dO3: ozone.

    ePM10: particulate matters having a size of <10 μm.

    fPM2.5: particulate matters having a size of <2.5 μm.

    gNOX: nitrogen oxides.

    hNO: nitrogen monoxide.

    iNO2: nitrogen dioxide.

    jTHC: total hydrocarbons.

    kNMHC: nonmethane hydrocarbons.

    lCH4: methane.

    ‎
    Figure 2. Cumulative incidence curves of mortality across tertiles of sulfur dioxide.
    ‎
    Figure 3. Cumulative incidence curves of mortality across tertiles of carbon dioxide.
    ‎
    Figure 4. Cumulative incidence curves of mortality across tertiles of carbon monoxide.
    ‎
    Figure 5. Cumulative incidence curves of mortality across tertiles of ozone.
    ‎
    Figure 6. Cumulative incidence curves of mortality across tertiles of particulate matters having a size of <10 μm.
    ‎
    Figure 7. Cumulative incidence curves of mortality across tertiles of particulate matters having a size of <2.5 μm.
    ‎
    Figure 8. Cumulative incidence curves of mortality across tertiles of nitrogen oxides.
    ‎
    Figure 9. Cumulative incidence curves of mortality across tertiles of nitrogen monoxide.
    ‎
    Figure 10. Cumulative incidence curves of mortality across tertiles of nitrogen dioxide.
    ‎
    Figure 11. Cumulative incidence curves of mortality across tertiles of total hydrocarbons.
    ‎
    Figure 12. Cumulative incidence curves of mortality across tertiles of nonmethane hydrocarbons.
    ‎
    Figure 13. Cumulative incidence curves of mortality across tertiles of methane.

    Dose-Response Effects Between Air Pollutants and Mortality Risk

    To evaluate the dose-response effects between the levels of air pollutants and the risk of mortality, we used Cox regression models and calculated the HRs for exposure at 1 SD increment for 10 years. Table 4 presents the corresponding HRs. The findings suggest that a 1 SD increment in the average exposure levels of SO2, CO, PM10, PM2.5, NOX, NO, NO2, THC, NMHC, and CH4 was associated with 14%, 49%, 18%, 12%, 41%, 33%, 38%, 20%, 9%, and 26% significant increases in mortality risk, respectively. However, a significantly negative association was observed for O3, with a 35% reduction in mortality risk. CO2 tended to exhibit only a trend but not a statistical significance to reduced mortality risk.

    Table 4. Hazard ratios for mortality associated with long-term exposure to air pollution at 1 SD increment for 10 years.
    PollutantsAdjusteda HRb (95% CI)P valuesMean (SD)
    SO2c (ppbd)1.14 (1.06-1.23)<.0014.14 (1.35)
    CO2e (ppmf)0.88 (0.76-1.02).09398.46 (11.50)
    COg (ppm)1.49 (1.38-1.59)<.0010.55 (0.14)
    O3h (ppb)0.65 (0.60-0.69)<.00128.08 (2.56)
    PM10i (μg/m3)1.18 (1.08-1.29)<.00155.68 (9.78)
    PM2.5j (μg/m3)1.12 (1.01-1.23).0333.7 (6.85)
    NOXk (ppb)1.41 (1.29-1.53)<.00125.43 (8.16)
    NOl (ppb)1.33 (1.23-1.44)<.0017.41 (4.41)
    NO2m (ppb)1.38 (1.26-1.50)<.00118.02 (4.16)
    THCn (ppm)1.20 (1.11-1.29)<.0012.31 (0.17)
    NMHCo (ppm)1.09 (1.01-1.17).030.30 (0.11)
    CH4p (ppm)1.26 (1.16-1.36)<.001 2.01 (0.11)

    aCox regression models were adjusted for age, urbanization level, insurance amount, Charlson Comorbidity Index score, hip fracture procedure, comedications, antiosteoporosis medication, ambient temperature, season, and lag 0-1.

    bHR: hazard ratio.

    cSO2: sulfur dioxide.

    dppb: parts per billion.

    eCO2: carbon dioxide.

    fppm: parts per million.

    gCO: carbon monoxide.

    hO3: ozone.

    iPM10: particulate matters having a size of <10 μm.

    jPM2.5: particulate matters having a size of <2.5 μm.

    kNOX: nitrogen oxides.

    lNO: nitrogen monoxide.

    mNO2: nitrogen dioxide.

    nTHC: total hydrocarbons.

    oNMHC: nonmethane hydrocarbons.

    pCH4: methane.


    Principal Findings

    In this study, long-term exposure to SO2, CO, PM10, PM2.5, NOX, NO, NO2, THC, NMHC, and CH4 was associated with an increased risk of all-cause mortality within 1 year after hip fracture surgery. In older individuals, a 1 SD increment in the average exposure levels of SO2, CO, PM10, PM2.5, NOX, NO, NO2, THC, NMHC, and CH4 was associated with 14%, 49%, 18%, 12%, 41%, 33%, 38%, 20%, 9%, and 26% increases in mortality risk, respectively. By contrast, we found a significant reduction (35%) in the HR for O3 and a trend of potentially protective effects of CO2.

    Comparison With Prior Work

    In this study, long-term exposure to SO2, CO, PM10, PM2.5, NOX, NO, NO2, THC, NMHC, and CH4 was consistently found to be risk factors for mortality within 1 year after hip fracture surgery. Previous studies have found an association between osteoporosis and the levels of exposure to air pollutants, including PM2.5, PM10, CO, and NO2 [62-65]. The same trends were observed in the risk of hip fracture associated with PM2.5, SO2, NO, NO2, and O3 [66,67]. Shi et al [35] were the first to investigate the effects of air pollution on mortality after hip fracture. In their nationwide cohort study in the United Kingdom, the levels of specific air pollutants, such as PM2.5, PM10, and NO2 exhibited a moderately positive association with the increases in the incidence and 30-day mortality rates of hip fracture. Thus far, their study was the only one on the negative effects of air pollution on mortality after hip fracture. However, the focus on 30-day mortality limited the scope of the long-term prognosis assessment. Moreover, the representativeness and extrapolation of their findings were limited because of the lack of age-standardization of the incidence; the possibility of errors in air pollution assessment owing to the use of data acquired only from the hospital region; and the presence of key unadjusted confounders, such as sex, season, temperature, socioeconomic, and CCI score. The aforementioned limitations of their study and the complexity of air pollution resulted in an unclear dose-response effect. To overcome this problem, we analyzed many pollutants; the robust evidence obtained in this study may help policy makers assess the economic loss and burden associated with air pollution and devise effective prevention strategies.

    Possible Mechanisms

    Although the precise mechanisms underlying the association between air pollution and mortality remain unclear, we hypothesized the following mechanism: air pollution contributes to frailty in older adults, thus increasing their susceptibility to mortality after hip fracture surgery. Air pollution is an independent risk factor for mortality from respiratory and cardiac diseases [25,68]. Furthermore, air pollution modifies the aging process by interfering with biological pathways; these effects are supported by toxicological evidence indicating that air pollution enhances oxidative stress [43-52], activates systemic inflammation [36-42], and causes metabolic disorders [69-72], genetic and epigenetic alterations [73-81], and vector-mediated pathogen transmission [30]. Zanobetti and Schwartz [82] suggested that air pollution influences the frail population in the following manners: increasing the mortality rate, increasing recruitment into the frail group, and delaying recovery. This finding indicates that air pollution modifies aging through frailty. Moreover, air pollution may aggravate age-related decline and functional deterioration at the cellular, tissue, and organ levels [83], thus increasing individuals’ vulnerability to disease development and mortality incidence. Given the association of exposure to ambient air pollution with all-cause and specific morbidity and mortality, our hypothesis and the obtained significant HRs appear to be highly conceivable and concomitant.

    We found a negative association between the risk of mortality after hip fracture and exposure to O3 pollution. Various conclusions have been reported regarding the effects of O3 exposure [84-88]. Studies reporting protective effects, which are consistent with our findings, have provided the following explanations. First, sunlight facilitates O3 formation; O3 is a seasonal pollutant because its level is higher in summer than in winter. Therefore, seasonal effects should be considered when analyzing the effects of O3 on health [84,89]. In this study, season served as a confounder in our regression models for potentially adjusting for the seasonal effects. Second, O3 is highly reactive and leads to the formation of other pollutants, such as NO2 and particulate matter [84,87]. Thus, O3 appears to be associated with other air pollutants; hence, the effects of O3 on health should be considered together with those of other pollutants. Thus, in this study, we performed a Pearson correlation analysis of air pollutants (Multimedia Appendix 1). To address the confounding impact of other pollutants and to prevent potential issues related to multicollinearity, we used potential associations among air pollutants to evaluate the impacts of multiple pollutants, selectively regulating those based on their weak correlations with other air pollutants. We defined the absolute value of correlation coefficients of <0.3 to indicate a low strength of correlation. However, the negative association between mortality and O3 pollution persisted (Multimedia Appendix 1) in the multiple-pollutant models of the targeted pollutants; thus, the second explanation was rejected. Thus, the precise mechanisms underlying the protective effects of O3 remain unclear. Nevertheless, other theories may provide some insights into these mechanisms, as follows: the enhanced expression levels of endothelial and inducible nitric oxide synthase [90-92], improvement of hemorheological parameters and oxygen delivery [92,93], and neuroprotective effects [92,94].

    CO2 emission exhibits a nonsignificant negative correlation with mortality after hip fracture. For the correlation between exposure to CO2 pollution and the risk of mortality within 1 year after hip fracture surgery, the HR was 0.88 (95% CI 0.76-1.02), with a P value of .09. This finding is similar to previous findings that CO2 emission exerted positive but nonsignificant effects on longevity [95-97]. After adjustment for the urbanization level and insurance amount, our analysis revealed a positive but nonsignificant trend in the health effects of CO2 exposure, which is consistent with the literature. However, to the best of our knowledge, this has so far not been explained nor recognized in the literature. The need for more extensive research in the future is evident, as there remain numerous unexplored facets and complexities within this subject that warrant thorough investigation to advance our knowledge and drive progress in the field.

    Strengths

    Our study has several strengths. First, to the best of our knowledge, this study is the first to indicate that long-term exposure to air pollution contributes to mortality within 1 year after hip fracture surgery. Second, we analyzed many key air pollutants (n=12). Third, we assessed the mortality within 1 year of surgery, thus focusing on the long-term outcomes of hip fracture. Finally, we adjusted for most of the major confounders, such as sex, season, temperature, socioeconomic, and CCI score, which further strengthened our findings and provided robustness for our primary conclusion.

    Limitations

    This study has some limitations. First, although smoking is a key factor influencing ambient air quality, we could not include it in the analysis because of data unavailability; this might have led to a potential bias. Second, the NHIRD does not include data on disease severity, clinical manifestations, laboratory findings, and mortality causes. Hence, we could not determine the specific causes of mortality. Third, the possibility of errors in the assessment of air pollution cannot be ignored. Fourth, because we regarded death as withdrawal from the National Health Insurance program, bias might have been introduced into our findings. Fifth, while we considered any changes in residence during the assessment period, it is worth noting that the residential postcodes may not always be updated accurately in the insurance registration data. This could result in inaccuracies when reflecting patient characteristics. Sixth, although we adjusted for several confounders, unmeasured or unknown confounders might have introduced bias into our results. Given the limitations of retrospective health insurance database cohorts, which may not encompass all potential confounding factors, the possibility of residual bias due to unmeasured variables remains. Seventh, although we aimed to analyze individual molecules separately, it is possible that we neglected the potential for nonlinear relationships or the possibility of mixed effects of other molecules. Finally, there is a potential that the current levels of air pollution may differ from the data used in our study. However, due to the availability of data, this is the most up-to-date information we can analyze. Furthermore, our paper highlights the health and societal hazards of air pollution, and we hope that our research findings can provide empirical support for air pollution control policies across various times and situations. Despite the aforementioned limitations, this study provides adequate, high-quality evidence to support our conclusion that long-term exposure to SO2, CO, PM10, PM2.5, NOX, NO, NO2, THC, NMHC, and CH4 is associated with an increased risk of all-cause mortality within 1 year after hip fracture surgery.

    Conclusions

    In this nationwide population-based retrospective study, we discovered that long-term exposure to SO2, CO, PM10, PM2.5, NOX, NO, NO2, THC, NMHC, and CH4 is correlated with an increased risk of all-cause mortality within 1 year after hip fracture surgery in Taiwanese adults older than 60 years. Furthermore, 1 SD increment in the average exposure levels of SO2, CO, PM10, PM2.5, NOX, NO, NO2, THC, NMHC, and CH4 was associated with 14%, 49%, 18%, 12%, 41%, 33%, 38%, 20%, 9%, and 26% increases in mortality risk, respectively. However, O3 exposure was associated with a significant reduction (35%) in HR, whereas CO2 exhibited a nonsignificant trend of potentially protective effects. Thus, our findings provide robust evidence that can be used by the government to devise and implement air pollution prevention strategies for reducing the burden on the health care system. Nonetheless, future studies with well-adjusted confounders are warranted to investigate the correlation between air pollution and hip fracture mortality and the underlying pathophysiologic mechanisms.

    Acknowledgments

    The authors thank the programmer and data technologists from the MetaTrial Platform, a cloud-based solution using the R language, for data mining, sorting, merging, algorithm building, and statistical application for various study designs. The authors also would like to acknowledge the Laboratory Animal Center at Taipei Medical University for technical support in English editing. The authors attest that there was no use of generative artificial intelligence (AI) technology in the generation of text, figures, or other informational contexts of this manuscript. The authors are grateful to Wan Fang Hospital (Grant numbers 113-wf-eva-31 and 113-wf-swf-03) for financially supporting this research.

    Data Availability

    All data generated or analyzed during this study are included in this published paper and its Multimedia Appendix files. More detailed data sets are not publicly accessible due to the requirement of obtaining approval from the Taiwan Ministry of Health and Welfare. Researchers interested in obtaining access to this data set may initiate the process by submitting an application form to the Ministry of Health and Welfare. For further guidance and assistance, please reach out to the MOHW staff via email at stcarolwu@mohw.gov.tw. The address of the Taiwan Ministry of Health and Welfare is as follows: No.488, Sec. 6, Zhongxiao E. Rd., Nangang Dist., Taipei City 115, Taiwan. You can also contact them by phone at +886-2-8590-6848.

    Conflicts of Interest

    None declared.

    Multimedia Appendix 1

    The International Classification of Diseases, Ninth Revision, (ICD-9) codes and Anatomical Therapeutic Chemical (ATC) Classification code established in the inclusion criteria, exclusion criteria, and definition of confounders.

    DOCX File , 20 KB
    Multimedia Appendix 2

    Characteristics of the study population across the tertiles of SO2 exposure.

    DOCX File , 25 KB
    Multimedia Appendix 3

    Characteristics of the study population across the tertiles of CO2 exposure.

    DOCX File , 25 KB
    Multimedia Appendix 4

    Characteristics of the study population across the tertiles of CO exposure.

    DOCX File , 25 KB
    Multimedia Appendix 5

    Characteristics of the study population across the tertiles of O3 exposure.

    DOCX File , 25 KB
    Multimedia Appendix 6

    Characteristics of the study population across the tertiles of PM10 exposure.

    DOCX File , 25 KB
    Multimedia Appendix 7

    Characteristics of the study population across the tertiles of PM2.5 exposure.

    DOCX File , 25 KB
    Multimedia Appendix 8

    Characteristics of the study population across the tertiles of NOX exposure.

    DOCX File , 25 KB
    Multimedia Appendix 9

    Characteristics of the study population across the tertiles of NO exposure.

    DOCX File , 25 KB
    Multimedia Appendix 10

    Characteristics of the study population across the tertiles of NO2 exposure.

    DOCX File , 25 KB
    Multimedia Appendix 11

    Characteristics of the study population across the tertiles of THC exposure.

    DOCX File , 25 KB
    Multimedia Appendix 12

    Characteristics of the study population across the tertiles of NMHC exposure.

    DOCX File , 25 KB
    Multimedia Appendix 13

    Characteristics of the study population across the tertiles of CH4 exposure.

    DOCX File , 25 KB
    Multimedia Appendix 14

    Pearson correlation analysis for air pollutants detected over the exposure period.

    DOCX File , 23 KB
    Multimedia Appendix 15

    Hazard ratios for long-term ozone exposure at 1 standard deviation increment associated with mortality rate.

    DOCX File , 20 KB
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    ‎
    CCI: Charlson Comorbidity Index
    CH4: methane
    CO: carbon monoxide
    CO2: carbon dioxide
    EPA: Environmental Protection Administration
    HR: hazard ratio
    ICD-9: International Classification of Diseases, Ninth Revision
    NHIRD: National Health Insurance Research Database
    NMHC: nonmethane hydrocarbons
    NO: nitrogen monoxide
    NO2: nitrogen dioxide
    NOX: nitrogen oxides
    O3: ozone
    PM10: particulate matters having a size of <10 μm
    PM2.5: particulate matters having a size of <2.5 μm
    SO2: sulfur dioxide
    THC: total hydrocarbons

    Edited by A Mavragani, T Sanchez; submitted 21.02.23; peer-reviewed by C Ji, CY Wang; comments to author 22.09.23; revised version received 08.10.23; accepted 08.02.24; published 18.03.24.

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    ©Shu-Han Chuang, Yi-Jie Kuo, Shu-Wei Huang, Han-Wei Zhang, Hsiao-Ching Peng, Yu-Pin Chen. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 18.03.2024.

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