Literature DB >> 36059578

Clinical Characteristics of Hyperandrogenism Include Hirsutism, Polycystic Ovary Syndrome, and Acne: Association with Psychiatric Disease in Women -A Nationwide Population-Based Cohort Study in Taiwan.

Tsan-Min Wang1,2, Cheng-Hao Chou1,2, Yi-Liang Lee3,4, Chi-Hsiang Chung1,5,6, Yao-Ching Huang1,7, Xiao-Cheng Lai8, Chien-An Sun9,10, Chieh-Yi Kang11, Gwo-Jang Wu1,3,12, Wu-Chien Chien1,5,6,8.   

Abstract

Objective: Previous studies have shown an increased in psychiatric disorders in women with disorders associated with hyperandrogenism, but few nationwide cohorts have studied this phenomenon. Therefore, this study is aimed to examine the association between the clinical manifestations of hyperandrogenism and subsequent psychiatric disorders.
Methods: Based on the National Health Insurance Research Database, 49,770 enrolled participants were matched for age and index date between January 1, 2000, and December 31, 2015. Hirsutism, polycystic ovary syndrome, and acne are characterized by hyperandrogenism. After adjusting for confounding factors, we used Cox proportional analysis to compare the risk of psychiatric disorders during the 16 years of follow-up.
Results: Of all the participants, 1319 (13.25%) had psychiatric disorders in the study group, whereas only 3900(9.80%) had psychiatric disorders in the control group. After adjusting for age, and monthly income, the Cox regression analysis showed that the study patients were more likely to develop psychiatric disorders (hazard ratio [HR]: 2.004, 95% confidence interval [CI] = 1.327-2.724, P < 0.001). The results demonstrated that women aged 20-29 years had a more significant risk.
Conclusion: Women with clinical characteristics of hyperandrogenism have a higher risk of developing psychiatric disorders, especially those aged 20-29 years.
© 2022 Wang et al.

Entities:  

Keywords:  Taiwan; cohort study; hyperandrogenism; national health insurance research database; psychiatric disorders; women

Year:  2022        PMID: 36059578      PMCID: PMC9432384          DOI: 10.2147/IJWH.S376244

Source DB:  PubMed          Journal:  Int J Womens Health        ISSN: 1179-1411


Introduction

Previous literature has revealed that hirsutism, polycystic ovary syndrome (PCOS), and acne are linked by an association with hyperandrogenism.1–3 Heidelbaugh (2016) argues that hirsutism is characterized as excessive terminal hair, typically occurring in male growth patterns in the androgen-dependent regions of the female body.1 Moreover, PCOS has been defined using multifarious criteria, including hyperandrogenism, oligoovulation or anovulation, and polycystic ovaries.2,4 Additionally, acne is a characteristic of PCOS.2,3 Consequently, we used three clinical manifestations of hyperandrogenism, including hirsutism, PCOS, and acne, to represent the clinical characteristics of hyperandrogenism in this study. In the previous research, hirsutism, PCOS, and acne have been linked to an increased risk for subsequent psychiatric disorders.5–8 Brutocao (2018) suggested that PCOS is linked to an increased risk of depression, anxiety, and bipolar disorders after including 57 studies reporting on 172,040 patients.5 A nationwide cohort study in the UK revealed acne is associated with an increased risk of depression.6 In his epidemiological cohort study, Morgan asserted that the prevalence of eating disorders in women with hirsutism has increased.7 In addition to psychological disorders, the present study used other disorders to analyze depression, anxiety, sleep disorders, and eating disorders. Further, we added suicide to the study list of the considered variables.9 Thus far, although numerous population-based studies have been published on the appearance characteristics of hyperandrogenism,10 There has been was a lack of direct analysis of large databases to verify the clinical manifestations of hyperandrogenism and subsequent psychiatric disorders. We hypothesized that a nationwide population-based cohort study utilizing the National Health Insurance Research Database (NHIRD) could examine women with clinical manifestations of hyperandrogenism and the possible risk of psychiatric disorders. Nonetheless, the main limitation of this study is the lack of exact androgen level data. This study aimed to demonstrate the correlation between hirsutism, PCOS, acne, and subsequent psychiatric disorders.

Materials and Methods

Data Source

This study used data from the NHIRD to investigate the association between the three clinical manifestations of hyperandrogenism and psychiatric disorders over a 16-year period.11 As a subset of the NHIRD, the Longitudinal Health Insurance Database of a two million randomized sampled population from 2000 to 2015 was used to study the association between clinical features of hyperandrogenism and the risk of psychiatric disorders.12 The National Health Insurance (NHI) program was launched in Taiwan in 1995. As of June 2009, it included contracts with 97% of medical providers with approximately 23 million beneficiaries or more than 99% of the population.13,14 The NHIRD, which contains all claims data of beneficiaries, uses the International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) codes to record diagnoses.15 The details of the program were documented in a previous study.12 In this study, we used data from the NHIRD to investigate the association between patients with hirsutism (ICD-9-CM: 704.1), PCOS (ICD-9-CM:256.4 and 628.0), acne (ICD-CM:706.1), and psychiatric disorders (ICD-9-CM:290–319) over a 16-year period, from the total hospitalization Longitudinal Health Insurance Database in Taiwan (2000–2015).16

Study Design and Sampled Participants

This study used a population-based, matched-cohort design. This study was observational. Patients newly diagnosed with any of the three clinical manifestations of hyperandrogenism, including hirsutism, PCOS, and acne, were selected from the Longitudinal Health Insurance Database from January 1, 2000, to December 31, 2015. Patients with these diseases before 2000 were excluded from the study. This method could be viewed as a way to ensure that these diseases were recent-onset, with references from other studies on the association between clinical characteristics of hyperandrogenism and psychiatric health, utilizing the NHIRD.17 Additionally, the patients diagnosed with anxiety, depression, bipolar disorders, sleep disorders, posttraumatic stress disorders (PTSD) or acute stress disorders (ASD), dementia, eating disorders, substance-related disorders (SRD), psychotic disorders, autism, other mental disorders, suicide, before 2000, or before their first visit for any one of the three diseases mentioned above were also excluded.18 Of the total patients enrolled, 9954 participants with any of the three clinical manifestations of hyperandrogenism and 39,816 controls were matched for age and index date. Each enrolled participant was required to have made at least three outpatient visits or one inpatient episode in the 1-year study period for any of the three diseases mentioned above, according to the ICD-9-CM codes. Participants fulfilling any of clinical manifestation criteria were referred to the study group; participants without clinical features were referred to the control group (Figure 1).
Figure 1

The flowchart of the study.

The flowchart of the study.

Covariates

The covariates included age groups (≤ 19, 20–44, 45–64, and ≥ 65 years), geographical area of residence (north, center, south, and east of Taiwan), urbanization level of residence (levels 1–4), and monthly income (in New Taiwan Dollars [NT$]; < 18,000, 18,000–34,999,and ≥35,000). The urbanization level of a residence was defined according to the population and various indicators of the level of development.19 Level 1 was defined as a population of > 1,250,000 and a specific designation as political, economic, cultural, and metropolitan development. Level 2 was defined as populations between 500,000 and 1,249,999 and as playing an important role in politics, economy, and culture. Urbanization levels 3 and 4 were defined as a population between 149,999 and 499,999, and <149,999, respectively.20

Comorbidities

Baseline comorbidities included diabetes mellitus (DM; ICD-9-CM: 250), hypertension (HTN; ICD-9CM: 401–405), renal disease (ICD-9-CM: 580–589),hyperlipidemia (ICD-9-CM: 272), thyrotoxicosis (ICD-9-CM: 242), pneumonia (ICD-9-CM: 480–486), chronic liver disease (CLD; ICD-9-CM: 571), injury (ICD-9-CM: 800–999), tumor (ICD-9-CM: 140–208), and obesity (ICD-9-CM: 278.0–278.1). These comorbidities were based on previous population-based literature.21,22

Major Outcome

All study participants were tracked from the index date until the onset of anxiety disorders (ICD-9-CM:300), depression (ICD-9-CM:296.2–296.3, 300.4, and 311), bipolar disorders (ICD-9-CM 296.0, and 296.4–296.8), sleep disorders (ICD-9-CM:307.4 and 780.5), PTSD or ASD (ICD-9-CM:308,309.81), dementia (ICD-9-CM: 290.0, 290.10, 290.11, 290.12, 290.13, 290.20, 290.21, 290.3, 290.41, 290.42, 290.43, 290.8, 290.9, and 331.0), eating disorders (ICD-9-CM:307. 1, 307.5), SRD (ICD-9-CM:291–292, 303.3, 303.9, 304–305), psychotic disorders (ICD-9-CM: 295 and 297–298), autism (ICD-9-CM:299.0), other mental disorders (ICD-9-CM: 290–319 excluding listed above), suicide (ICD-9-CM: E950-E959), withdrew from the NHI program, or the end of 2015. Moreover, each psychiatric diagnosis was required to have made at least three outpatient visits within the 1-year study period for psychiatric disorders, according to the ICD-9-CM codes.15,23

Statistical Analyses

All statistical analyses were performed using SPSS Windows software version 22.0. χ2 and t-tests were used to evaluate the distributions of categorical and continuous variables, respectively.24 The results are presented as hazard ratios (HR) with 95% confidence intervals (CI).25,26 Differences in the risk of psychiatric disorders between the study and control groups were estimated using the Kaplan–Meier method with the Log rank test. Statistical significance was defined as a two-tailed p-value < 0.05.27

Results

Table 1 shows the age, comorbidities, urbanization, area of residence, and monthly insured premiums of the high-androgen females and controls. We identified 9954 patients with clinical manifestations of hyperandrogenism and 39,816 patients without hyperandrogenism. The difference between the two groups was not statistically significant in the distribution of age, renal disease, thyrotoxicosis, pneumonia, chronic liver disease (CLD), injury, tumor, obesity, or season of medical visits. Most patients were under 30 years of age (77.32% in the hyperandrogenism participant group and the non-hyperandrogenism control cohort). The hyperandrogenism cohort had more DM, HTN, and hyperlipidemia cases than the non-hyperandrogenism control cohort. Patients with clinical features of hyperandrogenism tended to pay a higher insurance premium, lived in the northern and central regions of Taiwan, had urbanization levels 1 and 2, and received medical care from hospital centers.
Table 1

Characteristics of Study in the Baseline

HyperandrogenismTotalwithwithoutP
Variablesn%n%n%
Total49,770995420.0039,81680.00
Age (years)28.88 ± 13.6928.81 ± 13.0828.90 ± 13.850.557
Age group (yrs)0.999
≦ 1918,95038.08379038.0815,16038.08
20–2919,53039.24390639.2415,62439.24
30–39605012.16121012.16484012.16
≧ 40524010.53104810.53419210.53
Insured premium (NT$)< 0.001
< 18,00036,49973.34709171.2429,40873.86
18,000–34,999729414.66162216.29567214.25
≧ 35,000597712.01124112.47473611.89
DM< 0.001
Without44,48489.38874987.8935,73589.75
With528610.62120512.11408110.25
HTN< 0.001
Without43,00086.40835183.9034,64987.02
With677013.60160316.10516712.98
Renal disease0.437
Without44,80490.02894089.8135,86490.07
With49669.98101410.1939529.93
Hyperlipidemia< 0.001
Without47,27794.99922792.7038,05095.56
With24935.017277.3017664.44
Thyrotoxicosis0.055
Without48,89498.24975698.0139,13898.30
With8761.761981.996781.70
Pneumonia0.541
Without44,78289.98894089.8135,84290.02
With498810.02101410.1939749.98
CLD0.293
Without46,39893.22925692.9937,14293.28
With33726.786987.0126746.72
Injury0.949
Without42,71585.82854185.8034,17485.83
With705514.18141314.20564214.17
Tumor0.462
Without48,38197.21968797.3238,69497.18
With13892.792672.6811222.82
Obesity0.856
Without49,14498.74982798.7239,31798.75
With6261.261271.284991.25
Season0.999
Spring (Mar - May)11,97524.06239524.06958024.06
Summer (Jun - Aug)12,59025.30251825.3010,07225.30
Autumn (Sep - Nov)12,98526.09259726.0910,38826.09
Winter (Dec - Feb)12,22024.55244424.55977624.55
Location< 0.001
Northern Taiwan15,01930.18325532.7011,76429.55
Central Taiwan14,57129.28297129.8511,60029.13
Southern Taiwan14,01428.16291329.2611,10127.88
Eastern Taiwan510410.267597.63434510.91
Outlying islands10622.13560.5610062.53
Urbanization level< 0.001
1 (The highest)14,48029.09303830.5211,44228.74
215,59231.33336233.7812,23030.72
3948619.06160716.14787919.79
4 (The lowest)10,21220.52194719.56826520.76
Level of care< 0.001
Hospital center17,38734.93567857.0411,70929.41
Regional hospital17,25134.66226422.7414,98737.64
Local hospital15,13230.40201220.2113,12032.95

Note: P: Chi-square/Fisher exact test on category variables and t-test on continue variables.

Characteristics of Study in the Baseline Note: P: Chi-square/Fisher exact test on category variables and t-test on continue variables. Of the total 49,770 participants, 1319 were from 9954 (13.25%) in the hyperandrogenism cohort, compared to 3900 from the 39,816 (9.80%) non-hyperandrogenism cohort. Kaplan-Meier survival analysis revealed that the difference in the development of psychiatric disorders was statistically significant (log-rank, p<0.001). (Figure 2)
Figure 2

Kaplan-Meier for survival of mental disorders among aged 15–49 women stratified by hyperandrogenism with Log rank test.

Kaplan-Meier for survival of mental disorders among aged 15–49 women stratified by hyperandrogenism with Log rank test. Table 2 shows the results of the COX regression analysis: the incidence of psychiatric disorders was higher in the hyperandrogenism group than that in the non-hyperandrogenism control cohort (13.25% vs 9.80%). The Cox regression revealed that the crude HR was 2.267 (95% CI = [1.385,2.916], p < 0.001), and the adjusted HR was 2.004 (95% CI = [1.327, 2.724], p < 0.001) in the risk of psychiatric disorders after adjusting for age, comorbidities, geographical area of residence, urbanization level of the residence, and monthly income. For the subgroup of participants aged 20–29 years, the risk of psychiatric disorders was 1.878 times that of the age group ≤19 years. The results show that those with DM, HTN, renal disease, CLD, injury, and tumors are more likely to suffer from subsequent psychiatric disorders. Additionally, the mean years from clinical features of hyperandrogenism diagnosis to psychiatric disorders were 5.82 ± 5.69 years in the participant group, shorter than 6.06 ± 5.92 years for the control group from tracking the course of psychiatric disorders. (Table 3)
Table 2

Factors of Mental Disorders by Using Cox Regression

VariablesCrude HR95% CI95% CIPAdjusted HR95% CI95% CIP
Hyperandrogenism
WithoutReferenceReference
With2.2671.3852.916< 0.0012.0041.3272.724< 0.001
Age group (yrs)
≦ 19ReferenceReference
20–291.8781.3442.128< 0.0011.7181.3332.064< 0.001
30–391.5781.0741.807< 0.0011.4311.0411.7860.009
≧ 400.9000.5101.3060.3890.8390.4921.2440.422
Insured premium (NT$)
< 18,000ReferenceReference
18,000–34,9991.0720.8481.3060.2981.0420.7951.2190.382
≧ 35,0001.2060.8921.3140.2221.1120.8191.2950.271
DM
WithoutReferenceReference
With1.9081.2052.281< 0.0011.8141.1212.204< 0.001
HTN
WithoutReferenceReference
With1.9861.2292.392< 0.0011.9161.1972.253< 0.001
Renal disease
WithoutReferenceReference
With1.7631.2412.166< 0.0011.7131.2192.049< 0.001
Hyperlipidemia
WithoutReferenceReference
With1.3100.8681.8080.2951.2540.8571.7460.384
Thyrotoxicosis
WithoutReferenceReference
With1.1320.6581.6170.4111.0930.5211.5120.427
Pneumonia
WithoutReferenceReference
With1.3060.7611.7000.5351.2090.6031.6030.562
CLD
WithoutReferenceReference
With1.5121.1221.909< 0.0011.4921.1001.835< 0.001
Injury
WithoutReferenceReference
With1.3491.0721.666< 0.0011.3331.0421.6230.007
Tumor
WithoutReferenceReference
With1.4631.1091.714< 0.0011.4101.0661.6840.000
Obesity
WithoutReferenceReference
With1.1170.8981.4920.2751.0800.8191.4310.299
Season
SpringReferenceReference
Summer1.3940.8471.8550.2441.3120.7301.7870.313
Autumn1.4110.9491.9360.1011.3920.8381.8140.265
Winter1.5021.0122.0110.0391.4350.9191.9110.097
LocationMulticollinearity with urbanization level
Northern TaiwanReferenceMulticollinearity with urbanization level
Central Taiwan0.9930.4261.6270.498Multicollinearity with urbanization level
Southern Taiwan0.8870.3781.5620.513Multicollinearity with urbanization level
Eastern Taiwan0.8090.3351.3960.597Multicollinearity with urbanization level
Outlying islands0.8030.2881.2120.656Multicollinearity with urbanization level
Urbanization level
1 (The highest)1.6841.2652.403< 0.0011.5831.1422.281< 0.001
21.5701.2332.227< 0.0011.4511.1102.028< 0.001
31.2141.0481.8990.0011.1280.9931.8550.056
4 (The lowest)ReferenceReference
Level of care
Hospital center3.0071.9584.038< 0.0012.7201.4983.399< 0.001
Regional hospital2.2841.8633.913< 0.0011.8781.3142.910< 0.001
Local hospitalReferenceReference

Abbreviations: HR, hazard ratio; CI, confidence interval; Adjusted HR, Adjusted variables listed in the table.

Table 3

Years to Mental Disorders

HyperandrogenismMinMedianMaxMean ± SD
With0.024.2115.295.82 ± 5.69
Without0.024.8315.336.06 ± 5.92
Overall0.024.3215.336.01 ± 5.88
Factors of Mental Disorders by Using Cox Regression Abbreviations: HR, hazard ratio; CI, confidence interval; Adjusted HR, Adjusted variables listed in the table. Years to Mental Disorders We analyzed the data by stratifying factors, such as age, urbanization level, geographic areas of residence, seasons of medical visits, monthly insured premiums, and levels of care from medical service providers. We found that different urbanization levels, residence areas, seasons of medical visits, insured premiums, and levels of care were associated with an increased risk of psychiatric disorders. Patients with clinical characteristics of hyperandrogenism between the ages of 20 and 29 years had an increased risk of developing psychiatric disorders Tables 4 and 5 shows the adjusted HR of anxiety with adjusted HR: 2.196, p < 0.001, depression with adjusted HR: 2.389, p < 0.001, bipolar disorders adjusted HR: 2.047, p < 0.001; SRD adjusted HR: 1.933, p <0.001; psychotic disorders adjusted HR: 1.768 p < 0.001, and other mental disorders adjusted HR: 1.997, p <0.001 in patients with three clinical manifestations of hyperandrogenism when compared to the patients without clinical characteristics of hyperandrogenism. Surprisingly, we found that eating disorders were significant. Nonetheless, there was no statistical significance when the first year was excluded, and there was statistically a significant difference when the first five years were excluded.
Table 4

Factors of Mental Disorders Stratified by Variables Listed in the Table by Using Cox Regression

Hyperandrogenism StratifiedWith vs Without (Reference)
Adjusted HR95% CI95% CIP
Overall2.0041.3272.724< 0.001
Age group (yrs)
≦ 191.9871.3162.701< 0.001
20–292.0321.3462.764< 0.001
30–392.0091.3302.730< 0.001
≧ 401.9591.2972.662< 0.001
Insured premium (NT$)
< 18,0001.9561.2952.658< 0.001
18,000–34,9992.0591.3642.799< 0.001
≧ 35,0002.1691.4372.950< 0.001
DM
Without1.9231.2732.614< 0.001
With2.6811.7763.644< 0.001
HTN
Without1.8961.2562.578< 0.001
With2.8161.8643.828< 0.001
Renal disease
Without1.9351.2822.632< 0.001
With2.5101.6623.412< 0.001
Hyperlipidemia
Without1.9971.3222.714< 0.001
With2.1171.4022.877< 0.001
Thyrotoxicosis
Without1.9981.3232.716< 0.001
With2.2571.4953.069< 0.001
Pneumonia
Without1.9951.3212.712< 0.001
With2.0881.3822.838< 0.001
CLD
Without1.9991.3242.717< 0.001
With2.0521.3592.790< 0.001
Injury
Without1.9851.3142.698< 0.001
With2.1101.3972.868< 0.001
Tumor
Without2.0001.3242.719< 0.001
With2.1371.4162.905< 0.001
Obesity
Without2.0011.3252.711< 0.001
With2.1261.4032.889< 0.001
Season
Spring1.8531.2272.518< 0.001
Summer2.0081.3302.729< 0.001
Autumn2.0471.3552.783< 0.001
Winter2.1151.4012.875< 0.001
Urbanization level
1 (The highest)2.0451.3542.781< 0.001
22.0321.3462.763< 0.001
31.9841.3132.697< 0.001
4 (The lowest)1.9071.2632.592< 0.001
Level of care
Hospital center2.2011.4572.992< 0.001
Regional hospital1.9671.3022.673< 0.001
Local hospital1.8971.2562.579< 0.001

Abbreviations: PYs, Person-years; Adjusted HR, Adjusted Hazard ratio: Adjusted for the variables listed in Table 2; CI, confidence interval.

Table 5

Factors of Mental Disorders Subgroups by Using Cox Regression

Sensitivity TestHyperandrogenism Mental Disorders SubgroupsWith vs Without (Reference)
Adjusted HR95% CI95% CIP
OverallOverall2.0041.3272.724< 0.001
 Anxiety2.1961.4542.984< 0.001
 Depression2.3891.5833.248< 0.001
 Bipolar2.0471.3542.784< 0.001
 Sleep disorders1.9581.2972.661< 0.001
 PTSD/ASD1.3460.8911.8290.123
 Dementia1.3050.8641.7730.184
 Eating disorders1.8721.2392.545< 0.001
 SRD1.9331.2802.629< 0.001
 Psychotic disorders1.7681.1712.403< 0.001
 Autism1.5551.0012.1130.050
 Other mental disorders1.9971.3232.715< 0.001
 Suicide1.2960.8581.7610.225
In the first year excludedOverall2.0201.3372.746< 0.001
 Anxiety1.8431.2212.505< 0.001
 Depression2.0461.3552.781< 0.001
 Bipolar2.7521.8233.740< 0.001
 Sleep disorders2.8261.8723.842< 0.001
 PTSD/ASD1.4010.9271.9030.104
 Dementia1.3360.8851.8160.135
 Eating disorders1.4820.9822.0150.062
 SRD2.2501.4903.058< 0.001
 Psychotic disorders2.3181.5353.151< 0.001
 Autism1.4400.9541.9570.080
 Other mental disorders3.3072.1904.494< 0.001
 Suicide1.1070.7331.5050.299
In the first 5 years excludedOverall1.9801.3102.691< 0.001
 Anxiety1.7411.1532.366< 0.001
 Depression2.2191.4693.016< 0.001
 Bipolar2.1781.4422.960< 0.001
 Sleep disorders2.3111.5303.141< 0.001
 PTSD/ASD1.0190.6751.3840.362
 Dementia1.3990.9251.9000.108
 Eating disorders1.5481.0262.1050.025
 SRD2.0101.3312.732< 0.001
 Psychotic disorders2.6351.7453.581< 0.001
 Autism1.0720.7091.4570.372
 Other mental disorders2.2291.4763.030< 0.001
 Suicide1.4260.9441.9380.065

Abbreviations: PYs, Person-years; Adjusted HR, Adjusted Hazard ratio: Adjusted for the variables listed in Table 2; CI, confidence interval.

Factors of Mental Disorders Stratified by Variables Listed in the Table by Using Cox Regression Abbreviations: PYs, Person-years; Adjusted HR, Adjusted Hazard ratio: Adjusted for the variables listed in Table 2; CI, confidence interval. Factors of Mental Disorders Subgroups by Using Cox Regression Abbreviations: PYs, Person-years; Adjusted HR, Adjusted Hazard ratio: Adjusted for the variables listed in Table 2; CI, confidence interval. Overall, the differences between people with and without psychiatric disorders, including hirsutism, PCOS, and acne were statistically significant. Nevertheless, the difference in the hirsutism and acne subgroups was not statistically significant; the p-values for hirsutism and acne were 0.342 and 0.053 respectively. The adjusted HR values of all subgroups, including hirsutism and acne, were greater than 1. For PCOS, the adjusted HR values were 3.165. (Table 6)
Table 6

Factors of Mental Disorders Among Different Hyperandrogenism Subgroups by Using Cox Regression

Hyperandrogenism subgroupsAdjusted HR95% CI95% CIP
Without hyperandrogenismReference
With hyperandrogenism2.0041.3272.724<0.001
 Hirsutism1.2480.8041.6840.342
 PCOS3.1652.2034.303<0.001
 Acne1.6250.9982.2110.053

Abbreviations: PYs, Person-years; Adjusted HR, Adjusted Hazard ratio: Adjusted for the variables listed in Table 2; CI, confidence interval.

Factors of Mental Disorders Among Different Hyperandrogenism Subgroups by Using Cox Regression Abbreviations: PYs, Person-years; Adjusted HR, Adjusted Hazard ratio: Adjusted for the variables listed in Table 2; CI, confidence interval.

Discussions

This study examined the association between three clinical manifestations of hyperandrogenism and the risk of psychiatric disorders. After adjusting for covariates, the adjusted HR was 2.004 for the participants (95% CI = 1.327–2.724, p < 0.001) compared to the control group. Kaplan–Meier analysis demonstrated that the study participants had a significantly higher 16-year psychiatric disorders-free survival rate than controls. Using the two million NHIRD with the advantage of a larger dataset, our study confirmed the association between three clinical manifestations of hyperandrogenism and the increased risk of depressive disorder, bipolar disorder, anxiety disorders, and sleep disorders. Our study excluded patients and controls with psychiatric disorders before the follow-up period. Patients with clinical characteristics of hyperandrogenism were associated with a higher risk of overall psychiatric disorders than the control group, especially anxiety, depression, bipolar disorders, SRD, and other mental disorders. In this group, hyperandrogenism was associated with an increased risk of overall psychiatric disorders, especially depression and anxiety. Therefore, regular psychiatric follow-up may be vital for patients with hyperandrogenism.10,28 Our study did not find an association between the clinical characteristics of hyperandrogenism and suicide, which may be due to several reasons. Suicidal ideation occurs more frequently in women than in men; nevertheless, men are more likely to commit suicide than woman.29,30 Utilizing the NHIRD, we could not count patients with suicidal ideation, which may have affected the results of this study. A previous article suggested that androgens in men are a risk factor for completed suicide.30,31 However, our study included only women, which may be a critical reason for the lack of statistical significance due to sex differences. The underlying association between androgens and suicide requires clarification in future research. Most previous population-based studies on psychiatric morbidity were related to patients with hirsutism, PCOS, or acne.10 Therefore, to the best of our knowledge, this is the first population‐based study on the incidence of psychiatric disorders with clinical manifestations of hyperandrogenism. A crucial question is whether the increased risk of psychiatric disorders after exposure to high androgen levels is associated with high androgen levels. Previous animal studies have shown that supraphysiological doses of androgens contribute to neurodegeneration, decreased brain-derived neurotrophic factors, increased inflammation, and increased neuronal density, which may correspond to changes in mood, cognition, and aggression.32 Neural alterations likely play a role in the common mental health problems in patients with high androgen levels.33 The total cerebral cortex volume of people with high androgen levels was more compact than that of controls.34 A trophy of the cerebral cortex is a risk factor. Specifically, the brain neurons of patients with high androgen levels may have become atrophied.35 Although the mechanism between the atrophied brain and high androgen levels is yet to be clarified, there is a dose-response relationship.32 Further, patients with high androgen levels are more likely to develop cerebrovascular problems.36 Epidemiological studies have confirmed high comorbidity between cerebrovascular problems and psychiatric disorders, particularly depression. Comorbidity is bidirectional, and the mechanisms responsible are complex and multifaceted.37 One study indicated that high androgen levels demonstrated more attention-deficit hyperactivity disorder (ADHD) symptoms; however, we do not emphasize this section in this study.38 Table 6 demonstrates that the p-value of hirsutism is 0.342, which is far from the significance standard, although there is an association between hirsutism and psychiatric disorders in previous studies.39 The number of patients with hirsutism is far less than that of patients with PCOS, which may be an important influencing factor of the p-value. Despite their clinical importance, the prevalence of different pathological conditions associated with androgen excess is not apparent.10 The most recognizable clinical feature of androgen excess may be hirsutism. However, not all patients with hirsutism have overt evidence of androgen excess, with some women suffering from what we understand to be idiopathic hirsutism.40 Nevertheless, the mechanisms underlying idiopathic hirsutism are not completely known.1,41 Alternatively, not all patients with an androgen excess disorder have hirsutism, as in Asian patients with PCOS.42 East Asian females have fewer hirsute compared to Caucasians.42,43 Thus, owing to ethnic differences, it is important to discuss different standards. Women aged 20–29 years had the highest risk for psychiatric disorders, followed by those aged 30–39 years. In previous studies, compared to females aged >40 years, females aged 20–40 years produced more androgens and testosterone, a type of androgen.44 Women aged 20–29 years secreted more significant amounts of androgens than those between the ages of 30 and 39 years in most previous studies.45 Furthermore, psychiatric disorders were associated with age.46 Although females’ physical function worsens with age; they simultaneously feel less stressed.47 Another reason is that women aged 20–40 years may face the task of reproduction and may come down with psychiatric disorders during this experience.48,49 The mechanisms associated with androgen and psychiatric disorders have not been completely confirmed; consequently, age may be an influencing factor leading to this result. Hirsutism, PCOS, and acne are risk factors that influence patients’ mental health.50–55 A Poor prognosis included psychiatric disorders and suicide in this study. Women with hirsutism have an increased risk of depression linked to their circulating active testosterone levels.50 Similarly, in Derogatis’ research, the findings indicate that depression in hirsute women is more likely to be affected by a malfunctioning neuroendocrine system than by psychosocial factors.51 The underlying mechanisms of psychopathology are needed to clarify the underlying mechanisms of psychopathology. Daisung et al’s meta-analysis observed a 26% increase risk of suicide deaths and a 17% increase risk of suicide attempts after concluding 32 papers.52 Yin argues that women with PCOS tend to experience a low quality of life and suffer from depression and anxiety after conducting a meta-analysis of 46 studies.53 Cesta suggests that PCOS in women might be a risk factor for psychiatric disorders and attempted suicide.54 However, concerning completed suicide, the estimate attenuates, and the significance disappears when adjusting for comorbid psychiatric disorders.54 Conversely, the results of this study demonstrate that the three clinical manifestations of hyperandrogenism could be a risk factor for completed suicide. Due to the limitations of the NHIRD, suicide in this study only included completed suicide. Hull maintained that acne may have considerable psychological influence, including anxiety, depression, and suicide.55 Concerning the laboratory testing for hirsutism, screening for serum testosterone and 17-hydroxyprogesterone levels is sufficient in most cases.56 In 2003, new guidelines for the diagnosis of PCOS were suggested by the European Society for Human Reproduction and Embryology and the American Society of Reproductive Medicine to replace the guidelines for the diagnosis of PCOS launched by the National Institutes of Health.57 PCOS should be diagnosed when at least two of the following three characteristics are present: oligoovulation or anovulation, clinical or biochemical signs of hyperandrogenism, and polycystic ovaries.4 Furthermore, new guidelines concerning the diagnosis of PCOS were launched at the 2018 European Society for Human Reproduction and Embryology meeting in Barcelona.58 However, this cohort study were conducted between 2000 and 2015; hence, the latest principle is not applicable. Acne can be diagnosed by a simple visual inspection.59 Nevertheless, a dermatologist may recommend a blood test to determine if the progesterone and androgen levels are low.59 Hyperandrogenism is a defining feature of PCOS.60 As such, patients with PCOS have a higher risk of psychiatric disorders and vice versa.61 PCOS is a common heterogeneous endocrine disorder characterized by irregular menses, hyperandrogenism, and polycystic ovaries.2 Moreover, the negative influence on body image may contribute to subsequent psychiatric disorders.62,63 Research in the United States maintains that women with PCOS are more likely to have low body image stress scores and the lower BIS scores, which may be associated with anxiety and depression.62 A cross-sectional study suggests that PCOS is correlated with lower satisfaction with body images, which may lead to sexual dysfunction, anxiety, and depression.63 Hirsutism, PCOS, and acne were not separated. Thus, clarifying the mechanisms underlying the interaction between these diseases and hyperandrogenism is necessary. First, one of the primary strengths of this study is the set of ICD-9 codes, and several studies have demonstrated the accuracy and validity of several diagnoses in the NHIRD, including cancer and central nervous system diseases, such as stroke or comorbidity.64,65 Some studies have also demonstrated concordance between Taiwan’s National Health Survey and the NHIRD for various diagnoses.64,66 Second, the relatively long-term observation period allowed for more credibility compared with similar studies to propose mechanisms and plausible hypotheses. Third, we attempted to explain the lack of statistical significance when people experience hirsutism. Fourth, and most importantly, we attempted to explain the mutual biological and psychological mechanisms between the three clinical manifestations of hyperandrogenism and psychiatric disorders. Finally, for the first time, we found that clinical manifestations of hyperandrogenism are associated with an increased risk of psychiatric disorders using a nationwide population-based cohort study design, which to the best of our knowledge, has not been established in previous studies. The present study had several limitations that warrant consideration. First, we did not use the test results for the exact amount of androgens as the basis for the discussion. Therefore, the results may have been inaccurate. Only three diseases have been used to explain this phenomenon. Second, other genetic, psychosocial, and environmental factors were not considered. Third, the lack of data on the severity of psychiatric disorders limits the generalizability of the results. Fourth, the NHI program started in 1995; however, in this study, the NHIRD that we used contained a database of only 16 years. We strongly recommend a more comprehensive follow-up study in the future. Fifth, some individuals with characteristics of hyperandrogenism during development may not express any of these traits. These patients were not included in our study. Finally, the results of this study were limited to Taiwan and may not necessarily represent other countries or regions. Hence, further studies are needed to investigate the association between the three clinical manifestations of hyperandrogenism and the risk of psychiatric disorders.

Conclusions

The results showed an association between the clinical characteristics of hyperandrogenism and psychiatric disorders. Additionally, this study demonstrated that women aged 20–29 years were more likely to develop subsequent psychiatric disorders. Nevertheless, this study is limited by the lack of exact data on serum androgen levels, as the three clinical symptoms are inferred from hyperandrogenism. Further studies are needed to elucidate the underlying pathophysiological mechanisms of the relationship between hyperandrogenism and psychiatric disorders in women. These findings should be timely reminders for clinicians to pay attention to women who might suffer from psychiatric disorders.
  66 in total

Review 1.  Supraphysiologic-dose anabolic-androgenic steroid use: A risk factor for dementia?

Authors:  Marc J Kaufman; Gen Kanayama; James I Hudson; Harrison G Pope
Journal:  Neurosci Biobehav Rev       Date:  2019-02-25       Impact factor: 8.989

2.  Validity of in-hospital mortality data among patients with acute myocardial infarction or stroke in National Health Insurance Research Database in Taiwan.

Authors:  Ching-Lan Cheng; Hsu-Chih Chien; Cheng-Han Lee; Swu-Jane Lin; Yea-Huei Kao Yang
Journal:  Int J Cardiol       Date:  2015-08-01       Impact factor: 4.164

Review 3.  Psychiatric disorders in women with polycystic ovary syndrome: a systematic review and meta-analysis.

Authors:  Claire Brutocao; Feras Zaiem; Mouaz Alsawas; Allison S Morrow; M Hassan Murad; Asma Javed
Journal:  Endocrine       Date:  2018-07-31       Impact factor: 3.633

4.  Structurally different anabolic androgenic steroids reduce neurite outgrowth and neuronal viability in primary rat cortical cell cultures.

Authors:  Sofia Zelleroth; Erik Nylander; Axel Örtenblad; Frida Stam; Fred Nyberg; Alfhild Grönbladh; Mathias Hallberg
Journal:  J Steroid Biochem Mol Biol       Date:  2021-03-04       Impact factor: 4.292

5.  Update on PCOS: Consequences, Challenges, and Guiding Treatment.

Authors:  Kathleen M Hoeger; Anuja Dokras; Terhi Piltonen
Journal:  J Clin Endocrinol Metab       Date:  2021-03-08       Impact factor: 5.958

6.  Serum androgens and psychopathology in hirsute women.

Authors:  L R Derogatis; L I Rose; L H Shulman; L A Lazarus
Journal:  J Psychosom Obstet Gynaecol       Date:  1993-12       Impact factor: 2.949

Review 7.  Ethnic differences: Is there an Asian phenotype for polycystic ovarian syndrome?

Authors:  Zhongwei Huang; Eu-Leong Yong
Journal:  Best Pract Res Clin Obstet Gynaecol       Date:  2016-05-18       Impact factor: 5.237

8.  Cross-national prevalence and risk factors for suicidal ideation, plans and attempts.

Authors:  Matthew K Nock; Guilherme Borges; Evelyn J Bromet; Jordi Alonso; Matthias Angermeyer; Annette Beautrais; Ronny Bruffaerts; Wai Tat Chiu; Giovanni de Girolamo; Semyon Gluzman; Ron de Graaf; Oye Gureje; Josep Maria Haro; Yueqin Huang; Elie Karam; Ronald C Kessler; Jean Pierre Lepine; Daphna Levinson; Maria Elena Medina-Mora; Yutaka Ono; José Posada-Villa; David Williams
Journal:  Br J Psychiatry       Date:  2008-02       Impact factor: 9.319

9.  Polycystic ovary syndrome and psychiatric disorders: Co-morbidity and heritability in a nationwide Swedish cohort.

Authors:  Carolyn E Cesta; Mattias Månsson; Camilla Palm; Paul Lichtenstein; Anastasia N Iliadou; Mikael Landén
Journal:  Psychoneuroendocrinology       Date:  2016-08-03       Impact factor: 4.905

10.  Pubertal timing, menstrual irregularity, and mental health: results of a population-based study.

Authors:  Elena Toffol; Päivikki Koponen; Riitta Luoto; Timo Partonen
Journal:  Arch Womens Ment Health       Date:  2013-11-26       Impact factor: 3.633

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