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Annals of General Psychiatry logoLink to Annals of General Psychiatry
. 2021 Sep 28;20:48. doi: 10.1186/s12991-021-00368-w

Posttraumatic stress disorder and the risk of erectile dysfunction: a nationwide cohort study in Taiwan

PTSD and erectile dysfunction

Sheng-Chiang Wang 1,2,3,4, Wu-Chien Chien 5,6,7,8, Chi-Hsiang Chung 5,6,7, Nian-Sheng Tzeng 2,9,✉,#, Yia-Ping Liu 2,3,4,10,✉,#
PMCID: PMC8480081  PMID: 34583712

Abstract

Background

This study aimed to investigate the association between posttraumatic stress disorder and the risk of developing erectile dysfunction.

Methods

In this population-based retrospective cohort study, we used Taiwan’s National Health Insurance Research Database to analyze patients who were newly diagnosed with posttraumatic stress disorder (PTSD) between 2000 and 2013, with a 1:3 ratio by age and index year matched with patients in a non-PTSD comparison group, for the risk of erectile dysfunction.

Results

In total, 5 out of 1079 patients in the PTSD group developed erectile dysfunction, and 3 out of 3237 patients in the non-PTSD group (47.58 vs. 9.03 per 100,000 per person-year) developed erectile dysfunction. The Kaplan–Meier analysis showed that the PTSD cohort had a significantly higher risk of erectile dysfunction (log-rank, p < 0.001). The Cox regression analysis revealed that the study subjects were more likely to develop an injury (hazard ratio: 12.898, 95% confidence intervals = 2.453–67.811, p = 0.003) after adjusting for age, monthly income, urbanization level, geographic region, and comorbidities. Psychotropic medications used by the patients with PTSD were not associated with the risk of erectile dysfunction.

Conclusions

Patients who suffered from PTSD had a higher risk of developing erectile dysfunction.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12991-021-00368-w.

Keywords: Posttraumatic stress disorder, Erectile dysfunction, Cohort study, National Health Insurance Research Database

Highlights

  • Utilizing a nationwide, population-based database, the Longitudinal Health Insurance Database in 2000–2015 in Taiwan, which comprised 2 million people, we conducted a study to clarify the association between posttraumatic stress disorder and erectile dysfunction.

  • Posttraumatic stress disorder was associated with the risk of erectile dysfunction.

  • Psychotropic medications in the subjects with PTSD were not associated with the risk of erectile dysfunction.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12991-021-00368-w.

Introduction

As a devastating and debilitating mental illness that occurs after exposure to traumatic events, posttraumatic stress disorder (PTSD) involves a cluster of symptoms, such as intrusion, hyperarousal, avoiding stimuli associated with traumatic events, and negative alterations in cognition and mood [1, 2]. PTSD can also lead to negative impacts on quality of life and functional impairment in various domains, including sexual dysfunction [36]. However, erectile dysfunction (ED) in PTSD is usually underreported in clinical practice and has received little attention in PTSD research, especially in Asian countries.

Few studies have investigated the correlation or rates of ED across PTSD populations [7, 8], and almost no literature has addressed the longitudinal effects of sexual dysfunction. Although it is noteworthy that the percentage of sexual dysfunction is astonishingly high in PTSD patients [9, 10], some inconsistent results have been reported regarding relationship between PTSD and sexual dysfunction [11]. For example, previous studies showed that veterans with sexual dysfunction have significantly more severe PTSD symptoms than those without sexual dysfunction [12]; however, one cross-sectional study in Turkey reported no association between lifetime PTSD and ED [13]. A systemic review reported that the prevalence of sexual dysfunction among veterans with PTSD could be between 8 and 89% in different study sample sizes [11]. Hence, there are still many investigations that need to be explored, including different prevalences of PTSD among all countries and inadequate treatment [14, 15], as well as PTSD and sexual dysfunction. Moreover, it has been suggested that comorbid mental and physical illnesses should be considered an alternative explanation of the co-occurrence of sexual dysfunction and PTSD [9, 16], such as anxiety and depression [17]. Co-occurring physical illnesses may also have bidirectional relationships, as sexual dysfunction is linked to nearly every organ system, including cardiovascular illness (e.g., stroke, coronary artery disease, and hypertension), diabetes mellitus, asthma and alcohol-related diseases [18]. Furthermore, prescription medications could represent the underlying mechanism that explains the co-occurrence of ED and PTSD, such as serotonin reuptake inhibitors and benzodiazepines [19, 20].

There are only a few studies and systematic reviews examining the impact of PTSD on ED in the general population of Asian countries. Since the relationship between PTSD and ED remains unclear, we conducted a nationwide population-based cohort study to investigate the association between PTSD and the risk of ED among Taiwanese people. We hypothesized that there is an increased risk of ED after a PTSD diagnosis, and we used the Taiwan National Health Insurance Research Database (NHIRD) to examine whether there is an association between PTSD and ED.

Methods

Data sources

The Taiwan National Health Insurance (NHI) program was launched in 1995 to provide a centralized health insurance system for its citizens, and as of 2014 approximately 93% of the nation’s medical care institutions were contracted, with an enrollment rate exceeding 99% of Taiwan’s population [21]. The NHIRD is derived from the Taiwan NHI program, and all claimed data are released by the Bureau of National Health Insurance for research purposes. The NHIRD uses the International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) codes to record diagnoses [22]. The quality and validity of the NHIRD is adequate, and its data have been used in many published studies [2325]. In the present study, we used the datasets from the Registry for the 1-million Longitudinal Health Insurance Database (LHID) which included comprehensive outpatient and inpatient information, such as demographic data, dates of clinical visits, diagnostic codes, and details of prescriptions, with regard to nearly 1 million beneficiaries in Taiwan over a 13-year period from the LHID (2000–2013).

Study design and sampled participants

This study was a retrospective study with a matched-cohort design. Patients with PTSD were selected from January 1, 2000, to December 31, 2013, according to ICD-9-CM code 309.81. In addition, each enrolled adult male PTSD patient was required to have made at least three outpatient visits within the one-year study period according to the ICD-9-CM codes. Patients diagnosed with ED before 2000 or before the first visit for PTSD were excluded. In addition, all patients aged < 20 years were excluded. A total of 4310 enrolled patients with 1079 subjects with PTSD and 3237 in the age- and index-year-matched control group without PTSD were included in this study, during a 13-year follow-up to December 31, 2013 (Fig. 1). The required sample size for data analysis is 388 in PTSD group (actual sample size is 1079), and 1164 in non-PTSD group (actual sample size is 3237). Besides, the expected Cohen’s d effect size in this study equals to 0.9015. As a sensitivity analysis, by excluding the ED diagnoses within the first and first 5 years after the enrollment of PTSD and non-PTSD groups, we could reduce the protopathic bias or carry-over effects. Therefore, the outcome measures could be more valid.

Fig. 1.

Fig. 1

The flowchart of study sample selection

Covariates

The covariates included age group (20–39 years, ≥ 40 years), geographic area of residence (north, center, south, west, and east of Taiwan), urbanization level of residence (levels 1–4), levels of hospitals as medical centers, regional hospitals, and local hospitals, and monthly income (in New Taiwan Dollars [NT$]: < 18,000, 18,000–34,999, ≥ 35,000). The Charlson Comorbidity Index (CCI) was used to define comorbidities [26, 27]. The population and various indicators defined the urbanization levels. Urbanization level 1 was defined as a population of > 1,250,000; level 2 was defined as a population between 500,000 and 1,249,999; and levels 3 and 4 were defined as a population between 149,999 and 499,999 and < 149,999, respectively [28].

Comorbidity

Baseline comorbidities (in ICD-9-CM codes) included dementia, schizophrenia, anxiety disorders, bipolar disorders, depression, stroke, coronary artery diseases (CAD), hypertension, diabetes mellitus (DM), asthma, and alcohol-related illnesses, with the reference from one previous study [29]. All the ICD-9-CM codes of comorbidities were listed in Table S1 (Additional file 1). Data on the usage of psychotropic medications, including antidepressants, antipsychotics, and hypnosedatives, were collected. The defined daily dose (DDD) data were obtained from the WHO Collaborating Centre for Drug Statistics Methodology (https://www.whocc.no/), and the duration of the use of drugs was calculated by dividing the cumulative doses by the DDD of drugs.

Main outcomes

All of the study participants were followed from the index date until the onset of erectile dysfunction (ED), withdrawal from the NHI program, or the end of 2013. ED was divided into two subgroups: psychogenic ED and organic ED, and the ICD-9-CM codes of ED were listed in Table S1 (Additional file 1).

Statistical analysis

All statistical analyses were performed using SPSS software V.22 (SPSS Inc., Chicago, Illinois, USA). The χ2 test and t-test were used to evaluate the distributions of the categorical and continuous variables, respectively. Fisher’s exact test was used for the categorical variables to statistically examine the differences between the two cohorts. The Cox regression model was used to determine the risk of psychiatric disorders, and the results are presented as hazard ratios (HRs) with 95% confidence intervals (CIs). The difference in the cumulative incidence of psychiatric disorders between the study and control groups was estimated using the Kaplan–Meier method with the log-rank test. A two-tailed p value < 0.05 was considered to indicate statistical significance.

Results

Sample characteristics

Table 1 shows that the PTSD group had more anxiety disorders, bipolar disorders, and depression and less CAD and DM than the non-PTSD group. The PTSD group also tended to have lower CCI scores, live in the northern and outlying islands of Taiwan, reside more in urbanization level 2 regions, and receive medical help from medical centers. There were no differences in the distribution of age and insurance premiums between these two groups.

Table 1.

Characteristics of study at the baseline

PTSD With Without P
Variables n % n %
Total 1079 25.00 3237 75.00
Age (years) 36.05 ± 14.11 36.73 ± 14.28 0.174
Age group (years) 0.999
 20–39 869 80.54 2607 80.54
 ≥ 40 210 19.46 630 19.46
Insured premium (NT$) 0.998
 < 18,000 967 89.62 2901 89.62
 18,000–34,999 80 7.41 241 7.45
 ≥ 35,000 32 2.97 95 2.93
Dementia 3 0.28 4 0.12 0.337
Schizophrenia 40 3.71 144 4.45 0.338
Anxiety 68 6.30 5 0.15 < 0.001
Bipolar disorder 123 11.40 15 0.46 < 0.001
Depression 471 43.65 24 0.74 < 0.001
Stroke 19 1.76 82 2.53 0.163
Coronary artery disease 7 0.65 97 3.00 < 0.001
Hypertension 49 4.54 165 5.10 0.517
Diabetes mellitus 17 1.58 150 4.63 < 0.001
Asthma 9 0.83 50 1.54 0.095
Alcohol-related disease 49 4.54 118 3.65 0.202
CCI < 0.001
 0 1029 95.37 2794 86.31
 1 25 2.32 231 7.14
 2 11 1.02 70 2.16
 3 6 0.56 93 2.87
 ≥ 4 8 0.74 49 1.51
Antidepressants 959 88.88 246 6.98 < 0.001
 1–364 days 311 28.82 157 4.85
 ≥ 365 days 648 60.06 69 2.13
SSRI 892 82.67 153 4.72 < 0.001
 1–364 days 345 31.97 104 3.21
 ≥ 365 days 547 50.70 49 1.51
SNRI 937 86.84 136 4.20 < 0.001
 1–364 days 338 31.33 99 3.06
 ≥ 365 days 599 55.51 37 1.14
Other antidepressants 948 87.85 162 5.00 < 0.001
 1–364 days 375 34.75 112 3.46
 ≥ 365 days 573 53.10 50 1.54
Sedative/hypnotics 884 81.92 173 5.34 < 0.001
 1–364 days 431 39.94 95 2.93
 ≥ 365 days 453 41.98 78 2.41
Antipsychotics 839 77.76 137 4.23 < 0.001
 1–364 days 368 34.11 66 2.04
 ≥ 365 days 471 43.65 71 2.19
Residence of Taiwan < 0.001
 Northern Taiwan 755 69.97 1315 40.62
 Middle Taiwan 122 11.31 911 28.14
 Southern Taiwan 163 15.11 790 24.41
 Eastern Taiwan 28 2.59 209 6.46
 Outlets islands 11 1.02 12 0.37
Urbanization level < 0.001
 1 (the highest) 177 16.40 1063 32.84
 2 776 71.92 1362 42.08
 3 57 5.28 289 8.93
 4 (the lowest) 69 6.39 523 16.16
Levels of hospitals < 0.001
 Medical center 693 64.23 1031 31.85
 Regional hospital 312 28.92 1143 35.31
 Local hospital 74 6.86 1063 32.84

PTSD posttraumatic stress disorder, P Chi-square/Fisher exact test on category variables and t-test on continue variables, NT$ New Taiwan Dollars, CCI Charlson Comorbidity Index, stroke, coronary artery disease, hypertension, diabetes mellitus and alcohol-related illness, SSRI selective serotonin reuptake inhibitor, SNRI serotonin norepinephrine reuptake inhibitor

Kaplan–Meier model for the cumulative risk of erectile dysfunction

At the end of the follow-up, five patients in the PTSD group (5 in 1079, 47.58 per 105 person-years) developed ED, and three patients in the non-PTSD group (3 in 3237, 9.03 per 105 person-years) developed ED. The Kaplan–Meier analysis for the cumulative incidence of erectile dysfunction in the study and control groups is shown in Fig. 2 (log-rank test, p < 0.001).

Fig. 2.

Fig. 2

Kaplan–Meier for cumulative incidence of erectile dysfunction aged 20 and over stratified by posttraumatic stress disorder with log-rank test

Hazard ratio analysis of ED in patients with PTSD

In the Cox regression analysis model, the crude HR of the PTSD group was 14.766 (95% CI 3.426–63.635, p < 0.001), and the adjusted HR of the PTSD group in the development of ED was 12.898 (95% CI 2.453–6–7.811, p = 0.003), in comparison to the non-PTSD group, after adjustment for age, insurance premiums, comorbidities, antidepressants, sedatives/hypnotics, urban levels and regions in Taiwan, and the levels of hospitals the patients used for medical care. Patients with comorbidities, such as such anxiety disorders (adjusted HR: 1.864, p = 0.025), bipolar disorders (adjusted HR: 1.998, p = 0.014), and depression (adjusted HR: 2.970, p = 0.001), were associated with the risk of ED (Table 2). The use of antidepressants, antipsychotics, and sedatives/hypnotics by patients were not associated with the development of ED.

Table 2.

Hazard ratios analysis of ED in the patients with PTSD

Variables Crude HR 95% CI 95% CI P Adjusted HR 95% CI 95% CI P
PTSD
 Without Reference Reference
 With 14.766 3.426 63.635 < 0.001 12.898 2.453 67.811 0.003
Anxiety
 Without Reference Reference
 With 2.294 1.445 3.978 0.001 1.864 1.064 3.568 0.025
Bipolar disorder
 Without Reference Reference
 With 1.795 1.042 2.568 0.030 1.998 1.165 2.774 0.014
Depression
 Without Reference Reference
 With 4.030 2.457 7.198 < 0.001 2.970 1.845 4.798 0.001

Adjusted HR: adjusted variables listed in Table 1

P Chi-square/Fisher exact test on category variables and t-test on continue variables, PTSD posttraumatic stress disorder, HR hazard ratio, CI confidence interval, crude hazard ratio

Subgroup analysis of ED in the patients with PTSD

Table 3 depicts that PTSD was associated with an increased risk of ED in the PTSD cohort in comparison to the non-PTSD cohort in the subgroup analysis. Compared with patients without anxiety disorders, PTSD had a significantly adjusted HR (7.804, p = 0.014). Patients with anxiety disorders and PTSD had a more significant adjusted HR (18.191, p < 0.001) than patients with anxiety but not PTSD, with a similar phenomenon in bipolar disorders (8.406 vs. 13.978) and depression (7.975 vs. 19.911).

Table 3.

Factors of ED stratified by variables listed in the table by using multivariable Cox regression

PTSD With Without With vs. without (reference)
Stratified Event PYs Rate (per 105 PYs) Event PYs Rate (per 105 PYs) Adjusted HR 95% CI 95% CI P
Total 5 10,508.98 47.58 3 33,224.39 9.03 12.898 2.453 67.811 0.003
Age group (years)
 20–39 3 4533.90 66.17 0 10,458.58 0.00 0.995
 ≥ 40 2 5975.08 33.47 3 22,765.80 13.18 6.245 1.198 32.687 0.002
Insured premium (NT$)
 < 18,000 5 10,375.92 48.19 3 32,687.78 9.18 12.898 2.453 67.811 0.003
 18,000–34,999 0 129.16 0.00 0 402.26 0.00
 ≥ 35,000 0 3.89 0.00 0 134.34 0.00
Dementia
 Without 5 10,474.83 47.73 3 33,104.41 9.06 12.898 2.453 67.811 0.003
 With 0 34.15 0.00 0 119.97 0.00
Schizophrenia
 Without 5 9605.58 52.05 3 30,821.27 9.73 12.898 2.453 67.811 0.003
 With 0 903.40 0.00 0 2403.12 0.00
Anxiety
 Without 1 10,327.00 9.68 1 32,922.36 3.04 7.804 1.424 41.027 0.014
 With 4 181.98 2198.00 2 302.03 662.19 18.191 3.569 72.774 < 0.001
Bipolar disorder
 Without 2 9853.89 20.30 2 32,389.69 6.17 8.046 1.530 42.306 0.007
 With 3 655.09 457.95 1 834.70 119.80 13.978 3.121 89.193 < 0.001
Depression
 Without 1 9699.42 10.31 1 31,603.57 3.16 7.975 1.517 41.995 0.012
 With 4 809.56 494.10 2 1620.82 123.39 19.911 3.697 101.454 < 0.001
Stroke
 Without 5 9852.17 50.75 3 31,397.33 9.55 12.898 2.453 67.811 0.003
 With 0 656.81 0.00 0 1827.05 0.00
Coronary artery disease
 Without 5 9770.07 51.18 2 30,978.06 6.46 18.795 3.685 98.975 0.001
 With 0 738.91 0.00 1 2,246.33 44.52 0.000 - - 0.898
Hypertension
 Without 5 9770.07 51.18 3 30,978.06 9.68 18.795 3.685 98.975 0.001
 With 0 738.91 0.00 0 2246.33 0.00
Diabetes mellitus
 Without 5 9632.65 51.91 2 28,166.68 7.10 0.000 0.000 0.000
 With 0 876.33 0.00 1 5057.71 19.77 0.000
Asthma
 Without 5 10,481.74 47.70 3 32,871.27 9.13 18.795 3.685 98.975 0.001
 With 0 27.24 0.00 0 353.12 0.00
Alcohol-related diseases
 Without 5 9663.48 51.74 3 31,260.49 9.60 18.795 3.685 98.975 0.001
 With 0 845.50 0.00 0 1963.90 0.00
CCI_R
 0 4 8437.56 47.41 2 25,127.98 7.96 14.498 2.775 77.045 < 0.001
 1 1 1208.07 82.78 0 3296.20 0.00 0.999
 2 0 122.52 0.00 1 1097.72 91.10 0.000 0.897
 3 0 403.61 0.00 0 2122.11 0.00 -
 ≥ 4 0 337.22 0.00 0 1580.38 0.00
Antidepressants
 Without 0 1248.79 0.00 1 29,780.20 3.36 0.000 0.986
 1–364 days 2 4054.91 49.32 0 1779.27 0.00 0.782
 ≥ 365 days 3 5205.29 57.63 2 1664.92 120.13 1.179 0.223 6.174 0.798
SSRI
 Without 4 1379.70 289.92 2 29,897.01 6.69 106.254 20.174 559.784 < 0.001
 1–364 days 0 4103.81 0.00 0 1897.04 0.00
 ≥ 365 days 1 5025.47 19.90 1 1430.33 69.91 0.765 0.124 3.687 0.594
SNRI
 Without 4 1349.01 296.51 2 29,901.12 6.69 108.513 20.634 570.501 < 0.001
 1–364 days 1 4098.91 24.40 1 1796.78 55.66 1.073 0.199 5.687 0.751
 ≥ 365 days 0 5061.06 0.00 0 1526.48 0.00
Other antidepressants
 Without 0 1309.10 0.00 2 28,965.87 6.90 0.000 0.897
 1–364 days 3 4077.91 73.57 0 2015.50 0.00 0.989
 ≥ 365 days 2 5121.97 39.05 1 2243.01 44.58 2.114 0.408 11.277 0.735
Sedative/hypnotics
 Without 0 1409.78 0.00 1 27,989.45 3.57 0.000 0.998
 1–364 days 2 4813.10 41.55 0 2695.02 0.00 0.975
 ≥ 365 days 3 4286.10 69.99 2 2539.92 78.74 2.176 0.414 11.438 0.762
Antipsychotics
 Without 0 1698.91 0.00 1 28,750.12 3.48 0.000 0.897
 1–364 days 2 4340.11 46.08 1 2245.78 44.53 2.533 0.482 13.601 0.513
 ≥ 365 days 3 4469.96 67.11 1 2228.48 44.87 3.661 0.689 19.265 0.772
Urbanization level
 1 (the highest) 2 3141.06 63.67 2 9110.76 21.95 7.101 1.354 37.301 0.021
 2 3 4877.23 61.51 0 14,053.73 0.00 0.986
 3 0 1034.04 0.00 1 3281.11 30.48 0.000 0.887
 4 (the lowest) 0 1456.64 0.00 0 6778.79 0.00
Levels of hospitals
 Hospital center 3 3498.68 85.75 2 10,247.28 19.52 10.789 2.049 56.535 < 0.001
 Regional hospital 2 4968.42 40.25 0 15,631.31 0.00 0.964
 Local hospital 0 2041.88 0.00 1 7345.80 13.61 0.000 0.997

NT$ New Taiwan Dollars, PYs person-years, adjusted HR adjusted hazard ratio: adjusted for the variables listed in Table 1, P Chi-square/Fisher exact test on category variables and t-test on continue variables, CI confidence interval, CCI_R Charlson Comorbidity Index, SSRI selective serotonin reuptake inhibitor, SNRI selective norepinephrine reuptake inhibitor

Types of ED after PTSD

Table 4 reveals that in the PTSD cohort, PTSD was associated with an increased overall risk of developing ED with an adjusted HR of 12.898 (95% CI 2.453–67.811, p = 0.003) and an increased risk of developing psychogenic ED with an adjusted HR of 27.044 (95% CI 2.731–267.795, p < 0.001), but not for developing organic ED.

Table 4.

Factors of erectile dysfunction subgroup by using multivariable Cox regression

PTSD With vs. without (reference)
ED subgroup Adjusted HR 95% CI 95% CI P
Overall 12.898 2.453 67.811 0.003
Psychosexual ED (N = 6) 27.044 2.731 267.795 < 0.001
Organic ED (N = 2) 0.000 0.998

Adjusted HR: adjusted variables listed in Table 1

ED erectile disorder, PTSD posttraumatic stress disorder, HR hazard ratio, CI confidence interval, P Chi-square/Fisher exact test on category variables and t-test on continue variables.P Chi-square/Fisher exact test on category variables and t-test on continue variables.

Discussion

Our results supported the study hypothesis that patients with PTSD would have an increased risk of developing erectile dysfunction. The log-rank of the Cox regression model was significant (p = 0.003). The adjusted HR was 12.898 (95% CI 2.453–67.811, p = 0.003). When compared with previous research on the association between PTSD and the risk of ED [8, 10, 16], this study focused on longitudinal changes in the general population of an Asian country. Previous nationwide cohort studies in the Taiwan NHIRD have reported that PTSD was associated with obstructive sleep apnea [30], bronchial asthma [31], hypertension, DM, dyslipidemia [32], osteoporosis [33], Parkinson’s disease [34], dementia [35], and epilepsy [36]. To the best of our knowledge, this is the first study on the topic of the association between PTSD and the risk of ED in a nationwide, population-based cohort study in an Asian country.

For the lifetime prevalence of PTSD, one study showed ranges from 1.3 to 12.2%, and the one-year prevalence was 0.2 to 3.8% [37]. Another previous study using the NHIRD found that the one-year incidence of PTSD was 1.1% [23]. In our study, the total incidence within the 13-year follow-up period was approximately 0.31% (3050 in 989,753), and when we excluded the 1971 cases of PTSD that did not meet the enrollment criteria of this study, the incidence was 0.11% (1079/989,753); both of these rates were lower than the findings in the 2014 study by Lin et al. This is likely due to the fact that men are hesitant to discuss their sexual lives with their doctors and do not seek medical help for ED and PTSD, or because doctors do not properly document the diagnoses in medical records using ICD-9 codes. Moreover, the discrepancy between the incidences in these two studies might well be related to the strict criteria we employed in the enrollment of PTSD; that is, each enrolled adult male PTSD patient was required to have made at least three outpatient visits within the 1-year study period according to ICD-9-CM codes 309.81.

In consideration of other psychiatric illnesses, such as anxiety, depression and bipolar disorder, our results showed that these comorbidities also contributed to the risk of developing erectile dysfunction; this is compatible with previous findings with bidirectional mechanisms [16, 38]. The percentage of ED in PTSD group due to comorbid depression, anxiety and bipolar disorders is higher, and the result is also consistent with PTSD had psychogenic ED predominantly, not organic ED [3941]. Endothelial dysfunction, sexual hormones and inflammation in the neural circuitry, susceptible to PTSD, may play crucial roles on the pathogenic effects of ED. Furthermore, in clinical practice guidelines, the most common psychotropic medications used by patients with PTSD include selective serotonin reuptake inhibitors (SSRIs), serotonin norepinephrine reuptake inhibitors (SNRIs), other antidepressants, sedative-hypnotics, and antipsychotics [42]. Among these medications, antipsychotics and lithium are often prescribed for the treatment of PTSD patients and are commonly reported to have adverse effects on sexual function [43, 44]. Previous studies have also reported that antidepressants, antipsychotics and benzodiazepines were associated with ED [45, 46]. However, in this study, the usage of psychotropic medications for PTSD was not associated with an increased risk of ED after adjusting for age, comorbidity, and other covariates. Some probable reasons might be considered, such as poor drug adherence and stigmatization. This implies that more studies are needed to clarify the impact of these medications on the risk of ED in patients with PTSD.

There is an enormous amount of evidence indicating a multifactorial etiology for erectile dysfunction, either organic or non-organic, and a complex interaction exists with psychological, interpersonal, social, cultural, physiological, and gender-influenced processes [47, 48]. Several possible reasons could explain the underlying mechanism. PTSD itself can lead to a higher prevalence of erectile dysfunction, and a higher prevalence of comorbidities exists among patients with PTSD [7]. In addition, patients with PTSD are treated with psychotropic drugs, which can cause side effects that could influence their sexual function [49, 50].

Despite recent studies that highlighted the relationship between ED and PTSD, finding an absolute causation and mechanism of treatment for a patient with ED suffering from PTSD is still challenging. The main limitation of this study is that the number of ED patients in this sample was small, which might be related to underestimation of self-report, stigmatization, and a lower percentage of doctor visits due to cultural factors. Patients with ED may choose not to talk to doctors due to embarrassment, discouragement, or disbelief of the treatment possibilities.

Conclusions

The patients with PTSD had a higher risk of developing erectile dysfunction than those without PTSD, as determined after adjustment for demographic data and medical and psychiatric comorbidities. PTSD should be considered a predisposing factor in clinical practice while treating patients with erectile dysfunction. As the future direction for research, further study is therefore necessary to clarify the definite pathophysiology between PTSD and erectile dysfunction and to investigate whether prompt interventions for PTSD may reduce ED risk.

Supplementary Information

12991_2021_368_MOESM1_ESM.docx (14KB, docx)

Additional file 1: Table S1. ICD-9-CM codes of comorbidities and major outcomes.

Acknowledgements

We appreciate Taiwan’s Health and Welfare Data Science Center and the Ministry of Health and Welfare (HWDC, MOHW) for providing the National Health Research Database. We also thank Mr. Michael Wise who revised and proofread the language in the manuscript.

Abbreviations

CAD

Coronary artery diseases

CCI

Charlson Comorbidity Index

DDD

Defined daily dose

DM

Diabetes mellitus

ED

Erectile dysfunction

HWDC

Health and Welfare Data Science Centers

ICD-9-CM

International Classification of Diseases, 9th Revision, Clinical Modification

LHID

Longitudinal Health Insurance Database

MOHW

Ministry of Health and Welfare

NHI

National Health Insurance

NHIRD

National Health Insurance Research Database

NT$

New Taiwan Dollars

PTSD

Posttraumatic stress disorder

SNRIs

Serotonin norepinephrine reuptake inhibitors

SSRIs

Selective serotonin reuptake inhibitors

Authors’ contributions

SCW, NST, and YPL conceived, designed and conducted the study, performed the statistical analyses, analyzed and interpreted the data, and drafted the manuscript. WCC and CHC participated in its conception, design, assisted with the data collection and scoring of the behavioral measures, analyzed and interpreted the data, and were involved in drafting the manuscript and revised the manuscript critically for important intellectual content. SCW wrote the first draft. NST and YPL conducted the critical revision of the manuscript. All authors read and approved the final manuscript.

Funding

This work was supported by the Tri-Service General Hospital Research Foundation (TSGH-C108-003, TSGH-C108-151, and TSGH-E-110240), Armed Forces Taoyuan General Hospital (TYAFGH-A-110020), and the Medical Affairs Bureau, Ministry of Defense, Taiwan (MAB-107-084, MND-MAB-110-087).

Availability of data and materials

The data that support the findings of this study are not openly available due to confidentiality of data collected from the centralized Health and Welfare Data Science Centers.

Declarations

Ethics approval and consent to participate

The identifiable database of individuals included in the NHIRD was encrypted to protect individual privacy. In addition, all researchers followed the Computer-Processed Personal Data Protection Law and related regulations in Taiwan and signed an agreement declaring that no attempt would be made to retrieve information potentially violating the privacy of patients or health care providers. Furthermore, the data retrieval and collection could only be done in the centralized Health and Welfare Data Science Centers (HWDC). Smartphones, tablets, laptops, electronic wearable devices, or any other electronic storage devices were not allowed to be carried into the HWDC. This study was approved by the Institutional Review Board of Tri-Service General Hospital (TSGHIRB-2-106-05-029), and written informed consent was waived.

Consent for publication

All of the authors have consented to publication of this research.

Competing interests

The authors declare that they have no conflict of interest.

Footnotes

Publisher's Note

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

Nian-Sheng Tzeng and Yia-Ping Liu contributed equally to this work

Contributor Information

Nian-Sheng Tzeng, Email: pierrens@mail.ndmctsgh.edu.tw, Email: pierrens91@gmail.com.

Yia-Ping Liu, Email: yiaping@mail.ndmctsgh.edu.tw.

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Associated Data

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

Supplementary Materials

12991_2021_368_MOESM1_ESM.docx (14KB, docx)

Additional file 1: Table S1. ICD-9-CM codes of comorbidities and major outcomes.

Data Availability Statement

The data that support the findings of this study are not openly available due to confidentiality of data collected from the centralized Health and Welfare Data Science Centers.


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