O R I G I N A L R E S E A R C H Association Between Self-Reported Polycystic Ovary Syndrome with Chronic Diseases Among Emiratis: A Cross-Sectional Analysis from the UAE Healthy Future Study Nirmin F Juber 1, Abdishakur Abdulle1, Abdulla AlJunaibi2, Abdulla AlNaeemi3, Amar Ahmad1, Andrea Leinberger-Jabari1, Ayesha S Al Dhaheri4, Eiman AlZaabi5, Fatma Al-Maskari 6,7, Fatme AlAnouti8, Habiba Alsafar9–11, Juma Alkaabi12, Laila Abdel Wareth13, Mai Aljaber14, Marina Kazim15, Michael Weitzman16, Mohammad Al-Houqani17, Mohammed Hag-Ali18, Naima Oumeziane15, Scott Sherman19, Syed M Shah6, Wael Almahmeed20, Youssef Idaghdour1, Tom Loney 21, Omar El-Shahawy19, Raghib Ali1,22 1Public Health Research Center, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates; 2Department of Pediatrics, Zayed Military Hospital, Abu Dhabi, United Arab Emirates; 3Department of Cardiology, Zayed Military Hospital, Abu Dhabi, United Arab Emirates; 4Department of Nutrition and Health, College of Medicine and Health Sciences, UAE University, Al-Ain, United Arab Emirates; 5Department of Pathology, Sheikh Shakhbout Medical City, Abu Dhabi, United Arab Emirates; 6Institute of Public Health, College of Medicine and Health Sciences, UAE University, Al- Ain, United Arab Emirates; 7Zayed Center for Health Sciences, UAE University, Al-Ain, United Arab Emirates; 8College of Natural and Health Sciences, Zayed University, Abu Dhabi, United Arab Emirates; 9Center for Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates; 10Department of Genetics and Molecular Biology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates; 11Department of Biomedical Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates; 12Department of Internal Medicine, College of Medicine and Health Sciences, UAE University, Al-Ain, United Arab Emirates; 13The National Reference Laboratory, Abu Dhabi, United Arab Emirates; 14Healthpoint Hospital, Abu Dhabi, United Arab Emirates; 15Abu Dhabi Blood Bank Services, SEHA, Abu Dhabi, United Arab Emirates; 16Department of Environmental Medicine, New York University of Medicine, New York, NY, USA; 17Department of Medicine, College of Medicine and Health Sciences, UAE University, Al-Ain, United Arab Emirates; 18Faculty of Health Sciences, Higher Colleges of Technology, Abu Dhabi, United Arab Emirates; 19Department of Population Health, New York University School of Medicine, New York, NY, USA; 20Heart and Vascular Institute, Cleveland Clinic Abu Dhabi, Abu Dhabi, United Arab Emirates; 21College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, United Arab Emirates; 22MRC Epidemiology Unit, University of Cambridge, Cambridge, UK Correspondence: Nirmin F Juber, Public Health Research Center, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates, Tel +971-2-6287631, Email nirmin.juber@nyu.edu Purpose: This study aimed to assess the prevalence of self-reported polycystic ovary syndrome (PCOS) among Emiratis and examine bi-directional associations of PCOS with self-reported chronic diseases, namely: diabetes, asthma, high cholesterol, and high blood pressure. Patients and Methods: A cross-sectional analysis was performed using the UAE Healthy Future Study (UAEHFS) data collected from February 2016 to April 2022 involving 1040 Emirati women aged 25–67 years from recruitment centers in the United Arab Emirates (UAE). The bi-directional associations between self-reported PCOS and self-reported chronic diseases were evaluated by establishing temporality based on reported age-at-diagnoses. Firstly, the associations between PCOS (diagnosed at ≥25 years) and chronic diseases (diagnosed at <25 years) were examined, followed by PCOS (diagnosed at <25 years) and chronic diseases (diagnosed at ≥25 years). Finally, a Poisson regression under unadjusted and age-and-body mass index (BMI) adjusted models was performed to obtain the risk ratio (RR) and its 95% confidence interval (CI). Results: The prevalence of PCOS in this study was 25.9%. Those with asthma and high cholesterol diagnosed at <25 years had increased risks of PCOS diagnosed at ≥25 years (RR = 1.79, 95% CI: 1.17–2.76 for asthma; and RR = 1.61, 95% CI: 1.01–2.59 for high cholesterol), compared to those respective healthier counterparts, after adjusting for age and BMI. No significant association was observed between PCOS diagnosed at <25 years and respective chronic diseases diagnosed at ≥25 years. Conclusion: PCOS prevalence among Emirati women was high. Asthma and high cholesterol in earlier life were associated with PCOS in later life. Understanding how chronic disease conditions and PCOS are associated in bi-directional ways may improve the International Journal of Women’s Health 2023:15 289–298 289 © 2023 Juber et al. This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). International Journal of Women’s Health Dovepress open access to scientific and medical research Open Access Full Text Article Received: 23 November 2022 Accepted: 3 February 2023 Published: 15 February 2023 surveillance of chronic disease conditions among women with PCOS and may also contribute to more targeted PCOS prevention strategies. Keywords: polycystic ovary syndrome, self-reported diagnosis, epidemiology, women’s health, United Arab Emirates, UAE Healthy Future Study Introduction Polycystic ovary syndrome (PCOS) is a common hormonal disorder affecting 4% to 20% of women of reproductive age worldwide.1,2 To date, there are no universal criteria for PCOS diagnosis, making the definition of PCOS vary from one setting to another.3,4 The clinical manifestations of PCOS include irregular or prolonged menstruation, excessive androgen level, and, frequently, obesity.1,5,6 The exact etiology of PCOS is not fully known, however, there are several known common triggers, including genetic, hormonal, and environmental factors.3 Females with low birthweight history,7,8 with low levels of vitamin D,3 with parental PCOS history,9,10 as well as with childhood overweight or adult obesity,10,11 were reported to be at increased risk for subsequent PCOS. PCOS has been recognized as a chronic metabolic condition beyond a merely reproductive disorder,12 and females with PCOS were found to be more susceptible to chronic diseases compared to females without PCOS.13 Previous studies have established a relationship between concomitant health disorders in females with PCOS.13–15 Obesity and insulin resistance or diabetes among females with PCOS are known to exacerbate the symptoms of PCOS.3,16 Females with PCOS are also known to have a higher risk of cardiovascular diseases, compared to their healthier counterparts.17 In addition, females with PCOS are at higher risk for other chronic diseases, namely: asthma, high cholesterol, and high blood pressure.14,18 The previously-mentioned chronic diseases and PCOS are known to have shared risk factors, including systemic inflammation,16 metabolic factors,12 and hormonal factors.3 Despite the fact of shared risk factors for chronic diseases and PCOS, to our knowledge, there is no bi-directional study on chronic disease conditions and PCOS. We, therefore, aimed to assess the prevalence of self-reported PCOS among Emirati women aged 25 years or above and to examine possible bi-directional associations of self-reported PCOS with self-reported chronic diseases, namely: diabetes, asthma, high cholesterol, and high blood pressure, based on age at diagnoses. Materials and Methods Study Design, Participants, and Setting This is a retrospective cross-sectional study using the UAE Healthy Future Study (UAEHFS) data fielded between February 2016 to April 2022 involving 1040 Emirati women aged 25–67 years. The study design, questionnaire, and methodologies of the UAEHFS are described elsewhere.19 In brief, the UAEHFS is a population-based study that aims to explore risk factors for non-communicable diseases (NCDs) among Emirati nationals aged 18 years and older. Emirati adults were asked to fill out the questionnaire and had some physical measurements taken at multiple centers across major cities in the United Arab Emirates (UAE), namely: Abu Dhabi, Al-Ain, Dubai, and Ras Al Khaimah. All participants were informed of the purpose of the UAE Healthy Future Study. Measurements Disease Diagnoses Self-reported physician diagnoses for PCOS were determined based on the questionnaire response to: “Has a doctor ever told you that you have polycystic ovary syndrome/disease?” (yes, no). Self-reported diabetes or asthma was determined based on the respective questionnaire response to: ‘Has a doctor ever told you that you have diabetes?’ (yes, no); ‘Has a doctor ever told you that you have asthma?’ (yes, no). Whereas, self-reported cholesterol or high blood pressure was determined based on the respective questionnaire response to: ‘Has a doctor ever told you that you have or had high cholesterol?’ (yes, no); ‘Has a doctor ever told you that you have or had high blood pressure?’ (yes, no). https://doi.org/10.2147/IJWH.S398651 DovePress International Journal of Women’s Health 2023:15 290 Juber et al Dovepress Powered by TCPDF (www.tcpdf.org) Demographic Characteristics Age was constructed based on the questionnaire response to “What is your date of birth”. Body Mass Index (BMI) was calculated using the Tanita MC 780 (Tanita Inc., Tokyo, Japan) by nurses at the recruitment centers. Due to a high number of missing values of BMI (15%), we used a missing indicator and categorized BMI into: normal or below (<25 kg/m2), overweight or obese (≥25 kg/m2), and missing.20 Statistical Analysis Sensitivity analysis to compare the demographic characteristics and self-reported chronic disease conditions between those included in the study and those with missing values of PCOS history was performed to evaluate the pattern of missingness. Demographic characteristics and self-reported chronic disease conditions between women with vs without self-reported PCOS in our study were evaluated using frequencies with percentage (n, %) for categorical variables and means with standard deviations (means ± SD) for continuous variables. A Poisson regression with robust variance to estimate the risk ratio (RR) and its 95% confidence interval (95% CI) were modelled to assess its bi-directional associations. The bi-directional associations between PCOS and chronic diseases were evaluated by establishing temporality between PCOS and chronic diseases based on reported age at diagnoses. The associations between PCOS (diagnosed at ≥25 years) and chronic diseases (diagnosed at <25 years) were evaluated first, followed by PCOS (diagnosed at <25 years) and chronic diseases (diagnosed at ≥25 years). For each bi-directional association, the RR and its 95% CI were obtained for two models: unadjusted and age and BMI-adjusted models. Age and BMI are known to be strong confounding factors in epidemiological studies involving disease outcomes.13,14 The inclusion criteria of those aged 25 years or above with certain PCOS diagnoses (yes or no) and the exclusion of those with PCOS status missing values were made to better address immortal-time bias, as those aged <25 years could not possibly have been diagnosed with PCOS or chronic diseases at 25 years of age or above. The age cut-off of 25 years was used in this study since previous epidemiological studies of PCOS have involved adult populations (mean age of 25 years or above).21 Analyses were carried out using STATA 17.0 (StataCorp, TX, USA). p values < 0.05 were considered statistically significant. Ethical Approval The study and its procedures have been reviewed and approved by the Institutional Review Board at New York University Abu Dhabi, Dubai Health Authority, Ministry of Health and Prevention in the UAE, and Health Research and Technology Committee, reference number DOH/HQD/2020/516. Written consent was obtained from participants at the centers or by filling out an online consent form before data collection started. Results Figure 1 shows the flowchart of the final analytical sample included in this study. For the temporality establishment, we excluded those with uncertain PCOS status and those aged <25 years. After the exclusion criteria, the final analytical sample in our study was 1040 women aged ≥25 years. The prevalence of PCOS in this study was 25.9% (n=269). Figure 2 illustrates the prevalence of PCOS in the 5-year age group among participants aged ≥25 years in this study. The PCOS prevalence for each group was described as follows: 25–30 years of age: 25.1%; 31–35 years of age: 28.3%; 36–40 years of age: 25.6%; and 41 years of age or above: 23.2%. Table 1 shows the demographic characteristics and chronic disease conditions of the participants aged ≥25 years based on PCOS status. Compared to those without PCOS, Emirati women with PCOS had higher BMI levels, a higher proportion reported being overweight or obese, had a higher proportion with poor or fair health status. had a higher proportion with self-reported chronic disease conditions, namely: diabetes, asthma, high cholesterol, and high blood pressure. Table 2 presents the risk ratios (RRs) of the associations between self-reported chronic diseases diagnosed at <25 years of age and self-reported PCOS diagnosed at ≥25 years of age. In the age-and-BMI adjusted model, those with asthma and high cholesterol diagnosed at <25 years had significantly increased risk for self-reported older adult PCOS diagnosed at ≥25 years (RR = 1.79, 95% CI: 1.17–2.76 for asthma; RR = 1.61, 95% CI: 1.01–2.59 for high cholesterol), compared to those respective healthier counterparts. International Journal of Women’s Health 2023:15 https://doi.org/10.2147/IJWH.S398651 DovePress 291 Dovepress Juber et al Powered by TCPDF (www.tcpdf.org) Table 3 shows the risk ratios (RRs) of the associations between self-reported PCOS diagnosed at <25 years of age and self-reported chronic diseases diagnosed at ≥25 years of age. We did not find any significant association between self-reported PCOS diagnosed at <25 years and self-reported chronic diseases diagnosed at ≥25 years. Table 4 presents the comparison of demographic characteristics and self-reported chronic disease conditions of Emirati women aged 18+ years between women with vs without self-reported PCOS status. Those with missing Figure 1 Flowchart of the final analytical sample included in the study. Figure 2 Prevalence of PCOS by age group among participants in this study (N=1040). https://doi.org/10.2147/IJWH.S398651 DovePress International Journal of Women’s Health 2023:15 292 Juber et al Dovepress Powered by TCPDF (www.tcpdf.org) Table 1 Demographic Characteristics and Self-Reported Chronic Disease Conditions Based on PCOS Status (N= 1040) Demographic Characteristics and Self-Reported Chronic Disease Conditions Without PCOS (N=771) With PCOS (N=269) Age, year (mean ± SD) 33.5 ± 6.8 33.0 ± 6.0 BMI, kg/m2 (mean ± SD) 27.8 ± 6.8 28.8 ± 6.6 Overweight/obesity status, n (%) Normal or below (<25 kg/m2) 239 (31.0) 78 (29.0) Overweight or obese (≥25 kg/m2) 412 (53.4) 165 (61.3) Missing 120 (15.6) 26 (9.7) Urbanicity, n (%) Rural or other non-urban 80 (10.4) 27 (10.0) Urban 691 (89.6) 242 (90.0) Education levels, n (%) <6 years of schooling 22 (2.9) 9 (3.4) 6 to 12 years of schooling 210 (27.2) 69 (25.7) >12 years of schooling 539 (69.9) 191 (71.0) Overall health status, n (%) Excellent or good 593 (76.9) 196 (72.9) Poor or fair 178 (23.1) 73 (27.1) With diabetes, n (%) No 727 (94.3) 240 (89.2) Yes 44 (5.7) 29 (10.8) With asthma, n (%) No 674 (87.4) 222 (82.5) Yes 97 (12.6) 47 (17.5) With high cholesterol, n (%) No 614 (79.6) 199 (74.0) Yes 157 (20.4) 70 (26.0) With high blood pressure, n (%) No 698 (90.5) 238 (88.5) Yes 73 (9.5) 31 (11.5) Note: Inclusion age criteria for this analysis: ≥25 years. Abbreviations: SD, Standard deviation; BMI, Body mass index. Table 2 Associations Between Chronic Diseases Diagnosed at <25 Years of Age with PCOS Diagnosed at ≥25 Years of Age Risk for Self-Reported PCOS at ≥25 Years Crude Model Age and BMI-Adjusted Model RR [95% CI] p-value RR [95% CI] p-value Chronic disease conditions diagnosed at 25 years or below Diabetes 2.25 [0.86–5.89] 0.099 2.08 [0.81–5.36] 0.129 Asthma 1.73 [1.11–2.67] 0.015 1.79 [1.17–2.76] 0.008 High cholesterol 2.20 [1.13–4.30] 0.021 1.61 [1.01–2.59] 0.047 High blood pressure 1.16 [0.41–3.33] 0.783 1.15 [0.40–3.30] 0.790 Notes: Reference group: those without respective chronic disease conditions. Bold values: Significant at 0.05 (p=value<0.05). Abbreviations: *CI, Confidence Interval; RR, Risk Ratio; BMI, Body mass index. International Journal of Women’s Health 2023:15 https://doi.org/10.2147/IJWH.S398651 DovePress 293 Dovepress Juber et al Powered by TCPDF (www.tcpdf.org) Table 4 Demographic Characteristics and Self-Reported Chronic Disease Conditions Based on Certain and Uncertain PCOS Status Demographic Characteristics and Self-Reported Chronic Disease Conditions Final Sample (N=2497) Missing on PCOS Status (N=715) Age, year (mean ± SD) 25.9 ± 7.7 27.8 ± 9.3 BMI, kg/m2 (mean ± SD) 26.0 ± 6.8 26.6 ± 6.8 Overweight/obesity status, n (%) Normal or below (<25 kg/m2) 1088 (43.6) 212 (29.7) Overweight or obese (≥25 kg/m2) 1004 (40.2) 240 (33.6) Missing 405 (16.2) 263 (36.8) Urbanicity, n (%) Rural or other non-urban 362 (14.5) 46 (6.4) Urban 2135 (85.5) 234 (32.7) Missing 435 (60.8) Education attainment, n (%) <6 years of schooling or missing 97 (3.9) 257 (35.9) 6 to 12 years of schooling 1122 (44.9) 204 (28.5) >12 years of schooling 1278 (51.2) 254 (35.5) Overall health status, n (%) Excellent or good 1903 (76.2) 292 (40.9) Poor or fair 594 (23.8) 96 (13.5) Missing 327 (45.7) With diabetes, n (%) No 2392 (95.8) 345 (48.3) Yes 105 (4.2) 11 (1.5) (Continued) Table 3 Associations Between PCOS Diagnosed at <25 Years of Age with Chronic Diseases Diagnosed at ≥25 Years of Age Risk for Self-Reported Chronic Diseases at ≥25 Years Crude Model Age and BMI-Adjusted Model RR [95% CI] p-value RR [95% CI] p-value Diabetes 0.70 [0.17–2.97] 0.630 0.76 [1.18–3.23] 0.709 Asthma N/A N/A Cholesterol 0.92 [0.52–1.62] 0.760 1.06 [0.60–1.88] 0.842 High blood pressure 0.78 [0.34–1.78] 0.554 1.23 [0.53–2.86] 0.633 Notes: Reference group: women without PCOS. Abbreviations: *CI, Confidence Interval; RR, Risk Ratio; N/A, not available; BMI, Body mass index. https://doi.org/10.2147/IJWH.S398651 DovePress International Journal of Women’s Health 2023:15 294 Juber et al Dovepress Powered by TCPDF (www.tcpdf.org) PCOS status information were shown to be older and had a similar BMI. Furthermore, those with missing PCOS status had significant missing values of other chronic disease conditions ranging from 36.8% to 60.8%. Discussion In this study, the prevalence of self-reported PCOS among Emirati women aged ≥25 years was 25.9% (Figure 1), and the distribution of those with PCOS among adult Emiratis aged ≥25 years based on the 5-year age group showed that women aged 31– 35 years had the highest PCOS prevalence (Figure 2). Our estimates were found to be similar to another United Arab Emirates (UAE) study that found 27.6% PCOS prevalence based on the NIH criteria among university students aged 18–24 years.10 In contrast, the prevalence in our study from multiple recruitment center across UAE was shown to be higher than a recent single site UAE study that found 13% of self-reported PCOS prevalence among Emirati university students aged 18–25 years.22 We believe the difference in diagnosis criteria, sample characteristics, and sampling design used in the studies, contributed to these differences. The Middle Eastern population in general and the Gulf region especially are known to have a considerable prevalence of PCOS, with at least 20%-25% of women in this region affected by PCOS.3 In the UAE, an increasing rate of obesity has been suspected to contribute to an increasing rate of PCOS in this country, as obesity increases PCOS susceptibility.3 The significant association between self-reported asthma in earlier life (diagnosed at age <25 years) with self-reported PCOS later in life (diagnosed at ≥25 years) were observed, after adjusting for age and BMI. Asthma and PCOS were suggested to have similar risk factors and known to be associated in many ways, including in metabolic syndrome and proinflammatory profiles.16 Compared to non-asthmatics, those with asthma tend to be diagnosed with subsequent chronic diseases due to immune system impairment and persistent systemic inflammation.23,24 Similarly, those with PCOS are known to be associated with low-grade systemic inflammation.25 Our finding on the association between asthma and PCOS was different from an Australian study that found no association between asthma and PCOS in their age and BMI-adjusted model.14 However, this study could not establish the temporality and only included self-reported respiratory symptoms for asthma diagnosis, whereas we used self-reported doctor-diagnosed asthma with clear temporality based on age at diagnosis of asthma or PCOS. Due to the very low sample size in our analysis for this direction, we could not explore the association Table 4 (Continued). Demographic Characteristics and Self-Reported Chronic Disease Conditions Final Sample (N=2497) Missing on PCOS Status (N=715) Missing 359 (50.2) With asthma, n (%) No 2215(88.7) 262 (36.6) Yes 282 (11.3) 25 (3.5) Missing 428 (59.9) With high cholesterol, n (%) No 2145 (85.9) 342 (47.8) Yes 352 (14.1) 48 (6.7) Missing 325 (45.5) With high blood pressure, n (%) No 2329 (93.3) 367 (51.3) Yes 168 (6.7) 23 (3.2) Missing 325 (45.5) Abbreviations: SD: Standard deviation, BMI: Body mass index. Inclusion criteria: women aged 18+ years. International Journal of Women’s Health 2023:15 https://doi.org/10.2147/IJWH.S398651 DovePress 295 Dovepress Juber et al Powered by TCPDF (www.tcpdf.org) between self-reported PCOS in earlier life (diagnosed at <25 years) and self-reported asthma later in life (diagnosed at ≥25 years). A previous epidemiological study suggested that PCOS was an independent risk factor for subsequent asthma and suggested chronic systemic inflammation as one of the possible mechanisms to explain this linkage.26 In addition, this study also revealed a significant association between high cholesterol diagnosed in earlier life with PCOS later in life, independent of age and BMI status. Metabolic syndrome, including high cholesterol profile in earlier life (childhood and adolescence), is known to be associated with other metabolic syndromes such as PCOS.27 On a different note, we found no significant association in another direction (PCOS diagnosed in earlier life and high cholesterol in later life). Women with a history of PCOS are known to have higher concentrations of total cholesterol, compared to those without PCOS.28 A cross-sectional Australian study found no significant association between cholesterol medication use and PCOS.14 On the contrary, a prospective British study revealed a significant association between PCOS and high cholesterol, in their crude and BMI-adjusted models.28 However, this study included middle-aged women in the baseline, implying a different phenotype of PCOS. The expression of PCOS in adolescence and early adulthood may differ from and does not necessarily resemble that of clinical and endocrinological features observed in later adulthood.21 The influence of BMI in this study was shown to only shift the point estimates, however, the significance persisted even after adjusting for BMI (Table 2), implying that BMI (or obesity) was not fully responsible for the associations between chronic disease conditions and PCOS bi-directionally. A previous study revealed that the relationship between PCOS and chronic disease conditions can be explained only partially by the relationship between PCOS and obesity.28 Obesity is known to be associated with PCOS due to the involvement of low-grade systemic inflammation, hence promoting insulin resistance and metabolic disorders, all of which contribute to the development of PCOS.29 We believe future studies to examine whether obesity mediates the association between PCOS and chronic diseases are worth exploring. In this study, there was no significant association observed between diabetes and high blood pressure with PCOS. Even though previous studies found a significant association between diabetes and PCOS.13,14 Shared metabolic risk factors such as insulin resistance, may explain the association between diabetes or high blood pressure with PCOS.12 Our findings were in agreement with from previous studies that found significant associations between diabetes,13,14 and hypertension,13 with PCOS. We believe that a low sample size and statistical power for the association of diabetes and high blood pressure with PCOS in our analysis may contribute to these non-significant findings. Strengths and Limitations This cross-sectional study comprehensively examined the bi-directional associations between several chronic disease conditions, namely: self-reported diabetes, asthma, high cholesterol, and high blood pressure, with self-reported PCOS. The clear temporality based on age at disease diagnosis for each self-reported disease included in this study were able to improve the validity our findings. To improve the generalizability of this study, multiple recruitment centers in four major cities across the UAE were chosen to be included. Despite the above strengths, our study was subject to several limitations. One major limitation was self- reported PCOS and other chronic disease conditions, raising concerns about disease ascertainment accuracies. However, previous epidemiological studies found self-reported PCOS and other chronic diseases to be reliable.30,31 In addition, the self-reported age of diagnoses, such as asthma and diabetes, have been shown to be accurate.32,33 Furthermore, by adjusting for age in our age and BMI, this study aimed to better address possible age effects of recall error for the self-reported diseases. This study also prone to selection bias due to inclusion criteria based on PCOS status, however, our sensitivity analyses revealed non-systematic mechanisms in the missingness pattern of those with and without PCOS status (Table 4). Lastly, our study may be prone to residual confounding factors, such as physical activity and smoking status.13 Conclusion PCOS prevalence among Emirati women in this study was high. Asthma and high cholesterol in earlier life were associated with PCOS in later life. Understanding how chronic disease conditions and PCOS are associated in bi- directional ways may improve the surveillance of comorbid conditions among women with PCOS and may also contribute to more targeted PCOS prevention strategies. https://doi.org/10.2147/IJWH.S398651 DovePress International Journal of Women’s Health 2023:15 296 Juber et al Dovepress Powered by TCPDF (www.tcpdf.org) Acknowledgments The authors would like to thank all members of the Public Health Research Center at New York University Abu Dhabi and those who are actively involved in the UAE Healthy Future Study (UAEHFS). Funding This publication is based upon works supported by Tamkeen under Research Institute Grant No. G1206. 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