Obstructive sleep apnea increases risk of female infertility: A 14-year nationwide population-based study

Zhu Wei Lim; I-Duo Wang; Panchalli Wang; Chi-Hsiang Chung; Song-Shan Huang; Chien-Chu Huang; Pei-Yi Tsai; Gwo-Jang Wu; Kuo-Hsiang Wu; Wu-Chien Chien

doi:10.1371/journal.pone.0260842

. 2021 Dec 15;16(12):e0260842. doi: 10.1371/journal.pone.0260842

Obstructive sleep apnea increases risk of female infertility: A 14-year nationwide population-based study

Zhu Wei Lim ^1,^‡, I-Duo Wang ^2,^‡, Panchalli Wang ³, Chi-Hsiang Chung ^4,⁵, Song-Shan Huang ³, Chien-Chu Huang ^6,⁷, Pei-Yi Tsai ⁸, Gwo-Jang Wu ^9,^10,^*, Kuo-Hsiang Wu ^11,^*, Wu-Chien Chien ^4,^5,^*

Editor: James Andrew Rowley¹²

¹Department of Obstetrics and Gynecology, Changhua Christian Hospital, Changhua, Taiwan

²Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan

³Department of Obstetrics and Gynecology, Chiayi Christian Hospital, Chiayi City, Taiwan

⁴Department of Medical Research, Tri-Service General Hospital, Taipei, Taiwan

⁵School of Public Health, National Defense Medical Center, Taipei, Taiwan

⁶Department of Obstetrics and Gynecology, China Medical University Hospital, Taichung, Taiwan

⁷Graduate Institution of Biomedical Sciences, China Medical University, Taichung, Taiwan

⁸Department of Radiation Oncology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan

⁹Obstetrics and Gynecology Department, Tri-Service General Hospital, Taipei, Taiwan

¹⁰Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei, Taiwan

¹¹Department of Nursing, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan

¹²Harper University Hospital, UNITED STATES

Competing Interests: The authors have declared that no competing interests exist.

‡ Zhu Wei Lim and I-Duo Wang are both the first authors to this manuscript.

^✉

* E-mail: gwojiang@yahoo.com (GJW); kamekame@mail.ndmctsgh.edu.tw (KHW); chienwu@ndmctsgh.edu.tw (WCC)

Roles

Zhu Wei Lim: Formal analysis, Writing – original draft, Writing – review & editing

I-Duo Wang: Conceptualization, Writing – original draft, Writing – review & editing

Panchalli Wang: Formal analysis, Investigation

Chi-Hsiang Chung: Data curation, Formal analysis, Methodology

Song-Shan Huang: Methodology, Resources, Software

Chien-Chu Huang: Project administration, Resources, Software, Validation, Visualization

Pei-Yi Tsai: Software, Validation, Visualization

Gwo-Jang Wu: Conceptualization, Project administration, Supervision

Kuo-Hsiang Wu: Funding acquisition, Project administration

Wu-Chien Chien: Funding acquisition, Supervision, Writing – review & editing

James Andrew Rowley: Editor

PMCID: PMC8673645 PMID: 34910749

Abstract

Objectives

To determine the risk of having OSA in a cohort of female subjects who are infertile and the odds of being infertile in women with OSA.

Patients and methods

A nationwide, case-control study of female patients 20 years or older diagnosed with female infertility living in Taiwan, from January 1, 2000, through December 31, 2013 (N = 4,078). We identified women who were infertile and created a 2:1 matched control group with women who were not infertile. We used multivariable logistic regression analysis to further estimate the effects of OSA on female infertility.

Results

In this 14- year retrospective study, we included 4,078 patients having an initial diagnosis of female infertility. Of those women with infertility, 1.38% had a history of OSA compared with 0.63% of fertile controls (p = 0.002). The mean ages in the study groups were 32.19 ± 6.20 years, whereas the mean ages in the control groups were 32.24 ± 6.37years. Women with OSA had 2.101- times the risk of female infertility compared to women without OSA (p<0.001).

Conclusion

Our study showed that OSA is more commonly seen in infertile women and increases the odds that a woman will be infertile. More studies need to be done on the whether or not diagnosing and treating OSA can decrease the rate of infertility.

Introduction

Obstructive sleep apnea (OSA) is a widely prevalent but often underdiagnosed respiratory disorder characterized by recurrent upper airway obstruction during sleeping. Approximately 5% of the general population experiences OSA; among those aged 30–60 years, the prevalence is 9% in women and 24% in men [1, 2]. The risk of OSA is higher with a family history of OSA, obesity, hypertension, menopause, cigarette smoking, and alcohol consumption [3]. OSA results in sleep fragmentation and repetitive hypoxemia and is associated with various comorbidities, including hypertension, diabetes mellitus, ischemic heart disease, and obesity [4, 5].

According to the American College of Obstetricians and Gynecologists (ACOG), the definition of infertility is the failure to conceive after 1 year or more of regular unprotected sexual intercourse [6]. The prevalence of infertility has increased since 1990; in 2010, approximately 48.5 million individuals worldwide suffered from infertility [7]. Moreover, according to the data published by Taiwan’s Ministry of the Interior, the fertility rates of women within childbearing age decreased from 1.680 births per woman in 2000 to 1.080 births per woman in 2018, with the mean age of the women at their first birth increasing from 22.88 years to 30.90 years during that period. Female infertility can result from various conditions, including endometriosis, pelvic adhesion, polycystic ovary syndrome, tubal blockage, hyperprolactinemia, and congenital or acquired uterine or ovarian abnormalities [8].

Infertility can be associated with multiple factors, such as inflammation, obesity, intermittent hypoxia and sympathetic activation [9, 10]. In our previous study, we have found an increased risk of infertility in female patients with non-apnea sleep disorder [11]. However, little is known about whether OSA is associated with a risk of female infertility.

The aim of the present study was to investigate whether women with OSA had an increased risk of subsequent female infertility. Accordingly, we used Taiwan’s National Health Insurance Research Database (NHIRD) for conducting the largest retrospective study to date discussing the association of female infertility with OSA.

Materials and methods

Data source

Taiwan launched its National Health Insurance program in 1995. This program covers approximately 99% of the 23.74 million individuals in Taiwan, and 97% of clinics are covered by the system [12]. Taiwan’s health care system is insurance-based, and is characterized by its good accessibility, high efficiency, comprehensive population coverage (99% of the 23.74 million residents in Taiwan), relatively low costs and short waiting times [13]. The NHIRD contains health registration records for most of the general population in Taiwan, including details of outpatient, inpatient, and emergency department visits, with diagnoses coded according to the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9). The high accuracy and validity of diagnoses in the NHIRD have been demonstrated in previous studies, confirming that the NHIRD offers representative data for medical and health-related research [14–16]. A subset of approximately 1 million patient records from the NHIRD was randomly chosen for inclusion in the Longitudinal Health Insurance Database as an aid to research projects. The privacy of all individuals registered in the program is ensured via the encryption and conversion of the identification numbers of all records.

The protocol for this study was approved by the Institutional Review Board of the Tri-Service General Hospital (TSGHIRB No. 1-106-05-169).

Study population

From the outpatient and inpatient data of 989,753 individuals for the period 2000 to 2013 in Taiwan’s Longitudinal Health Insurance Database, we identified female patients aged 20–45 years who were diagnosed with infertility. We excluded women who received radiation therapy, chemotherapy, and genital organ surgery (Fig 1). Patients who met the criteria were assigned to the study group. We used two-fold propensity score matching to create a control group by matching each case group member with two other women from the database according to age (by 5-year span) and index date, applying the same exclusion criteria [17, 18]. We compared differences between both groups for the prior exposure of OSA. Both groups were followed until the end of 2013. Our study was conducted by extracting the ICD-9 codes from the NHIRD. The diagnosis of OSA is made by polysomnography and the diagnosis of female infertility is confirmed by the obstetrician and gynecologists. We listed several covariates in our study, including season (Spring, Summer, Autumn, Winter), urbanization level of residence and level of care (medical center, regional, and local hospital). Moreover, common comorbidities as well as endocrine and gynecological diseases, such as obesity, Cushing’s syndrome, thyroid disease, PCOS, and endometriosis, were used in the analysis to evaluate the cause of infertility and their effects on OSA.

Statistical analysis

We compared the study and control groups with regard to characteristics and common comorbidities, including hypertension, diabetes mellitus, hyperlipidemia, and COPD, by using chi-squared tests. The mean ages of the two groups were compared using Student’s t-test. The odds ratio (OR) for factors potentially associated with female infertility were evaluated using multivariable logistic regression with and without stratification. The variables that adjusted in the odds ratio were the variables that listed in the table. Correlation analysis was used to study the strength of a relationship between age groups and the variables listed in S2 Table. All comparisons were two-tailed, and p-values <0.05 were considered statistically significant. The statistical analyses were performed using IBM SPSS v 22.0 software.

Results

We identified 4,078 female patients in the database who had been diagnosed with infertility by the end of the study. After applying the exclusion criteria, 2,400 patients were included and assigned as the study group in the analysis. The control group comprised 4,800 matched women without infertility. The mean ages in the study groups were 32.19 ± 6.20 years, whereas the mean ages in the control groups were 32.24 ± 6.37 years. Table 1 summarizes the characteristics of the study and the control groups. There were significantly more patients who had been diagnosed with OSA in the study group than in the control group (1.38% vs. 0.63%; p = .002). In addition, we have found that 33 patients in the study group and 30 patients in the reference group, who have had prior exposure to OSA. Women aged 26–30 years and 31–35 years were more than other aged groups in our study population (28.0% and 32.29% respectively).

Table 1. Characteristics of study.

Infertility	Total		With		Without		P
Variables	n	%	n	%	n	%	P
Total	7,200		2,400	33.33	4,800	66.67
OSAs							0.002
Without	7,137	99.13	2,367	98.63	4,770	99.38
With	63	0.88	33	1.38	30	0.63
Age (years)	32.22 ± 6.31		32.19 ± 6.20		32.24 ± 6.37		0.751
Age group (yrs)							0.999
20–25	972	13.50	324	13.50	648	13.50
26–30	2,016	28.00	672	28.00	1,344	28.00
31–35	2,325	32.29	775	32.29	1,550	32.29
36–40	1,386	19.25	462	19.25	924	19.25
41–45	501	6.96	167	6.96	334	6.96
Insured premium (NT$)							0.952
<18,000	6,787	94.26	2,265	94.38	4,522	94.21
18,000–34,999	272	3.78	88	3.67	184	3.83
≧35,000	141	1.96	47	1.96	94	1.96
HTN							<0.001
Without	6,751	93.76	2,204	91.83	4,547	94.73
With	449	6.24	196	8.17	253	5.27
DM							0.163
Without	6,850	95.14	2,271	94.63	4,579	95.40
With	350	4.86	129	5.38	221	4.60
Hyperlipidemia							<0.001
Without	7,081	98.35	2,324	96.83	4,757	99.10
With	119	1.65	76	3.17	43	0.90
COPD							0.003
Without	7,075	98.26	2,342	97.58	4,733	98.60
With	125	1.74	58	2.42	67	1.40
CKD							0.116
Without	6,993	97.13	2,342	97.58	4,651	96.90
With	207	2.88	58	2.42	149	3.10
IHD							<0.001
Without	7,085	98.40	2,334	97.25	4,751	98.98
With	115	1.60	66	2.75	49	1.02
CHD							0.018
Without	7,142	99.19	2,372	98.83	4,770	99.38
With	58	0.81	28	1.17	30	0.63
Stroke							0.001
Without	7,119	98.88	2,358	98.25	4,761	99.19
With	81	1.13	42	1.75	39	0.81
Cancer							0.208
Without	6,989	97.07	2,321	96.71	4,668	97.25
With	211	2.93	79	3.29	132	2.75
Obesity							0.001
Without	7,154	99.36	2,374	98.92	4,780	99.58
With	46	0.64	26	1.08	20	0.42
Hyperestrogenism							-
Without	7,200	100.00	2,400	100.00	4,800	100.00
With	0	0.00	0	0.00	0	0.00
Polycystic ovaries							0.479
Without	7,199	99.99	2,400	100.00	4,799	99.98
With	1	0.01	0	0.00	1	0.02
Irregular menstrual cycle							<0.001
Without	7,191	99.88	2,391	99.63	4,800	100.00
With	9	0.13	9	0.38	0	0.00
Endometriosis							-
Without	7,200	100.00	2,400	100.00	4,800	100.00
With	0	0.00	0	0.00	0	0.00
Uterine leiomyoma							-
Without	7,200	100.00	2,400	100.00	4,800	100.00
With	0	0.00	0	0.00	0	0.00
Cushing’s syndrome							-
Without	7,200	100.00	2,400	100.00	4,800	100.00
With	0	0.00	0	0.00	0	0.00
Thyrotoxicosis with or without goiter							0.139
Without	7,149	99.29	2,378	99.08	4,771	99.40
With	51	0.71	22	0.92	29	0.60
Acquired hypothyroidism							0.056
Without	7,175	99.65	2,387	99.46	4,788	99.75
With	25	0.35	13	0.54	12	0.25
Anxiety							<0.001
Without	6,920	96.11	2,216	92.33	4,704	98.00
With	280	3.89	184	7.67	96	2.00
Depression							<0.001
Without	6,974	96.86	2,262	94.25	4,712	98.17
With	226	3.14	138	5.75	88	1.83
Tobacco use disorder							0.011
Without	7,162	99.47	2,380	99.17	4,782	99.63
With	38	0.53	20	0.83	18	0.38
Alcoholism							0.019
Without	7,011	97.38	2,322	96.75	4,689	97.69
With	189	2.63	78	3.25	111	2.31
Season							0.720
Spring (Mar-May)	2,004	27.83	672	28.00	1,332	27.75
Summer (Jun-Aug)	1,892	26.28	644	26.83	1,248	26.00
Autumn (Sep-Nov)	1,581	21.96	528	22.00	1,053	21.94
Winter (Dec-Feb)	1,723	23.93	556	23.17	1,167	24.31
Location							<0.001
Northern Taiwan	3,160	43.89	1,125	46.88	2,035	42.40
Middle Taiwan	1,920	26.67	568	23.67	1,352	28.17
Southern Taiwan	1,528	21.22	533	22.21	995	20.73
Eastern Taiwan	411	5.71	109	4.54	302	6.29
Outlets islands	181	2.51	65	2.71	116	2.42
Urbanization level							<0.001
1 (The highest)	3,068	42.61	1,086	45.25	1,982	41.29
2	2,541	35.29	863	35.96	1,678	34.96
3	622	8.64	197	8.21	425	8.85
4 (The lowest)	969	13.46	254	10.58	715	14.90
Level of care							<0.001
Hospital center	2,433	33.79	1,077	44.88	1,356	28.25
Regional hospital	2,170	30.14	621	25.88	1,549	32.27
Local hospital	2,597	36.07	702	29.25	1,895	39.48

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

Multivariable logistic regression analysis was used in this retrospective study. We listed factors for female infertility in Table 2. There were no significant differences in the risk of female infertility between patients with and without gynecological disorders, endocrine disorders, or concomitant comorbidities, including hypertension, diabetes mellitus, hyperlipidemia, COPD, chronic kidney disease, coronary heart disease, stroke, obesity, anxiety, and depression (Table 2). The increased likelihood of subjects with OSA to be infertile was also showed in Table 2 (adjusted odds ratio, 2.101; p<0.001). ICD-9-CM and correlation analysis were listed in S1 and S2 Tables, respectively.

Table 2. Factors of infertility by using multivariable conditional logistic regression.

Variables	Crude OR	95% CI	95% CI	P	Adjusted OR	95% CI	95% CI	P
OSAs	Reference				Reference
	1.900	1.056	3.417	0.001	2.101	1.118	3.950	<0.001
Age group
20–25	1.000	0.818	1.193	0.999	0.947	0.772	1.160	0.753
26–30	1.000	0.821	1.188	0.999	0.852	0.697	1.040	0.179
31–35	1.000	0.804	1.213	0.999	0.781	0.626	0.989	0.050
36–40	1.000	0.739	1.320	0.999	0.783	0.572	1.071	0.165
41–45	Reference				Reference
Insured premium
<18,000	Reference				Reference
18,000–34,999	0.858	0.544	1.352	0.536	1.047	0.640	1.712	0.759
≧35,000	0.861	0.459	1.618	0.663	0.782	0.396	1.543	0.511
HTN	Reference				Reference
HTN	1.860	0.537	2.379	0.532	1.745	0.450	2.264	0.315
DM	Reference				Reference
DM	1.932	0.593	2.465	0.761	1.874	0.534	2.460	0.668
Hyperlipidemia	Reference				Reference
Hyperlipidemia	1.988	0.478	3.041	0.987	2.030	0.466	3.319	0.850
COPD	Reference				Reference
COPD	1.598	0.328	2.091	0.101	1.593	0.320	2.133	0.139
CKD	Reference				Reference
CKD	1.282	0.035	3.292	0.238	1.193	0.024	2.743	0.151
IHD	Reference				Reference
IHD	1.517	0.257	2.041	0.069	1.393	1.184	1.826	0.017
CHD	Reference				Reference
CHD	1.538	0.150	2.931	0.347	1.397	0.107	2.558	0.201
Stroke	Reference				Reference
Stroke	1.564	0.117	3.717	0.479	1.449	0.087	3.442	0.371
Cancer	Reference				Reference
Cancer	1.231	1.120	1.447	<0.001	1.125	1.058	1.256	<0.001
Obesity	Reference				Reference
Obesity	1.705	0.253	2.959	0.511	1.744	0.258	3.206	0.627
Hyperestrogenism	Reference				Reference
Hyperestrogenism	-	-	-	-	-	-	-	-
Polycystic ovaries	Reference				Reference
Polycystic ovaries	-	-	-	-	-	-	-	-
Irregular menstrual cycle	Reference				Reference
Irregular menstrual cycle	-	-	-	-	-	-	-	-
Endometriosis	Reference				Reference
Endometriosis	-	-	-	-	-	-	-	-
Uterine leiomyoma	Reference				Reference
Uterine leiomyoma	-	-	-	-	-	-	-	-
Cushing’s syndrome	Reference				Reference
Cushing’s syndrome	-	-	-	-	-	-	-	-
Thyrotoxicosis with or without goiter	Reference				Reference
Thyrotoxicosis with or without goiter	2.414	0.727	3.749	0.286	1.877	0.437	2.796	0.778
Acquired hypothyroidism	Reference				Reference
Acquired hypothyroidism	2.098	0.367	4.280	0.840	1.917	0.281	4.061	0.914
Anxiety	Reference				Reference
Anxiety	1.759	0.270	3.132	0.610	1.879	0.272	3.904	0.859
Depression	Reference				Reference
Depression	1.600	0.257	2.400	0.246	1.644	0.253	2.689	0.404
Tobacco use disorder	Reference				Reference
Tobacco use disorder	1.852	0.896	2.571	0.184	1.829	0.885	2.540	0.182
Alcoholism	Reference				Reference
Alcoholism	1.532	0.722	2.386	0.223	1.513	0.714	2.357	0.220
Season
Spring	Reference				Reference
Summer	1.018	0.875	1.186	0.684	0.980	0.831	1.154	0.937
Autumn	0.960	0.824	1.118	0.702	0.938	0.796	1.105	0.622
Winter	0.871	0.746	1.017	0.110	0.823	0.696	0.972	0.044
Location
Northern Taiwan	Reference				Had multicollinearity with urbanization level
Middle Taiwan	0.794	0.696	0.906	0.001	Had multicollinearity with urbanization level
Southern Taiwan	0.865	0.751	0.996	0.045	Had multicollinearity with urbanization level
Eastern Taiwan	0.871	0.659	1.153	0.377	Had multicollinearity with urbanization level
Outlets islands	0.899	0.419	1.929	0.799	Had multicollinearity with urbanization level
Urbanization level
1 (The highest)	3.459	2.808	4.262	<0.001	1.639	1.304	2.060	<0.001
2	2.003	1.624	2.469	<0.001	1.182	0.947	1.475	0.087
3	0.900	0.665	1.218	0.539	0.907	0.667	1.235	0.629
4 (The lowest)	Reference				Reference
Level of care
Hospital center	6.324	5.418	7.381	<0.001	5.734	4.841	6.791	<0.001
Regional hospital	2.272	1.939	2.662	<0.001	2.322	1.974	2.730	<0.001
Local hospital	Reference				Reference

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OR = odds ratio, CI = confidence interval, Adjusted OR: Adjusted variables listed in the table

Discussion

Our study is the largest retrospective study to date demonstrating the association of female infertility with OSA. In this nationwide, population-based, case-control study of over 14 years, we have found that infertile women have an odds ratio of 2.1 of having OSA compared with women who were fertile but also infertile women were more likely to have OSA. This article is the second study in which our group has shown that women with sleep disorders could link to female infertility. In our previous article, we have found that women with non-apnea sleep disorder had a 3.718-fold risk of female infertility compared with the control cohort [11].

OSA is defined as presence of sleep disordered breathing, excessive daytime sleepiness, and a high apnea–hypopnea index [1, 2, 19]. Changes in the frequency of apneas, hypopneas, and respiratory-effort-related arousal cause increases in sympathetic tone, circadian disruption, systemic inflammation, and intermittent and chronic hypoxia. These factors may gradually increase oxidative stress, leading to infertility [20]. Lifestyle factors such as obesity and reproductive pathological and physiological factors such as PCOS, endometriosis, and pregnancy can result in the generation of reactive oxygen species by suppressing the production of NO, promoting the production of endothelium-derived vasoconstrictors, and increasing hemoglobin-mediated inactivation [21, 22]. Therefore, excessive oxidative stress can result in poor oocyte quality, abnormal fertilization, the impairment of blastocyst or embryo development and growth, and increased embryo fragmentation, leading to apoptosis and ultimately leading to failed implantation [23]. It has also been reported that an imbalance of pro-inflammatory cytokines, anti-inflammatory cytokines, chemokines, growth factors, and anti-apoptotic proteins were associated with infertility and unsuccessful in vivo fertilization [24–26].

Patients with OSA are at risk of metabolic disorders, including an irregular menstrual cycle and obesity [27]. The menstrual cycle is modulated by the hypothalamus–pituitary–gonadal axis. The hypothalamus releases gonadotropin-releasing hormone, the pituitary gland produces follicle-stimulating hormone and luteinizing hormone, and the ovary produces estrogen and testosterone. Kloss et al. hypothesized that sleep disorders may activate the hypothalamus–pituitary–gonadal axis and alter sex hormones in the follicular, ovulation, luteal, and menstruation phases, ultimately resulting in infertility [28]. In addition, the interruption of breathing during sleep as a result of OSA can cause circadian dysrhythmia due to the increased levels of melatonin and cortisol [29]. The increase of cortisol levels can downregulate the hypothalamic-pituitary-adrenal axis and inhibit GnRH at the pituitary level, which may alter sex hormone profiles and thus lead to infertility [30].

Scientists have demonstrated the prevalence of OSA in women is lower than in men [2]. There is also likely underdiagnosis of OSA in women due to atypical symptoms such as depression, headache, anxiety and insomnia are more frequent presented in women [31]. In addition, women with OSA have been shown to have greater hypoxic chemosensitivity than those without OSA [32]. In contrast, no central compensatory respiratory drive adaptation has been observed in obese men with or without OSA [32]. The sex hormones progesterone and estrogen have been reported to increase ventilatory control and hypercapnic and hypoxia chemosensitivity [33, 34]. In addition, sex hormone also participated in the distribution of adipose tissue and muscle function in upper respiratory tract [35]. Scientist have demonstrated that high progesterone level in pregnancy status had the protective role in developing OSA, even in obese pregnant women [36, 37]. Greater activity of dilator muscle in upper respiratory tract was also seen in progesterone-dominant luteal phase [38]. However, these effects decreased with age because of the higher incidence rate of OSA and the greater severity of OSA in postmenopausal women than in premenopausal women [33, 39]. It has been reported that estradiol withdrawal was associated with a predisposition to OSA in peri- and postmenopausal women with depression [40]. As a result, sex hormones may influence the severity of OSA, especially in younger women who desired to get pregnant [41].

This study had some limitations. First, although the diagnosis of OSA is made by polysomnography, we could not obtain the severity of OSA due to the de-identification in the database. Therefore, studies regarding the severity of OSA and subsequent female infertility are warranted. Second, although the study draws subjects from a large database, however, the number of infertility and OSA was only 33 and the number of OSA with no infertility in the control group was only 30 subjects. Third, the absence of women with endometriosis and PCOS in the infertile cohort potentially limits the applicability in populations where these disorders are more common. Despite the listed limitations, our study provided a large group of patients and its longitudinal effects of over 14 years.

Conclusion

In conclusion, this study showed that OSA is more commonly seen in infertile women and increases the odds that a woman will be infertile. Therefore, infertile women should be screened for signs and symptoms of OSA, which may help to increase female fertility rate.

Supporting information

S1 Table. Abbreviation and ICD-9-CM.

(DOCX)

Click here for additional data file.^{(15.2KB, docx)}

S2 Table. Correlation between variables listed in the table and age group.

(DOCX)

Click here for additional data file.^{(13.6KB, docx)}

Acknowledgments

We appreciate the Health and Welfare Data Science Center, Ministry of Health and Welfare (HWDC, MOHW), Taiwan, for providing the National Health Insurance Research Database (NHIRD).

Abbreviations

ACOG: American College of Obstetricians and Gynecologists
COPD: Chronic obstructive pulmonary disease
ICD-9-CM: International Classification of Diseases, Ninth Revision, Clinical Modification
NASD: Non-apnea sleep disorders
NHIRD: National Health Insurance Research Database
OSA: Obstructive sleep apnea
PCOS: Polycystic ovary syndrome

Data Availability

Data are available from the National Health Insurance Research Database (NHIRD) published by Taiwan National Insurance (NHI) Bureau. Under Personal Data Protection Act in Taiwan, personal data cannot be obtained publicly. Interested researchers can sent a formal proposal to the NHIRD (https://dep.mohw.gov.tw/dos/cp-5119-59201-113.html).

Funding Statement

This study was supported by Grant Support from Tri-Service General Hospital Research Foundation (TSGH-D-110130, TSGH-B-110012). The funders has no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

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PLoS One. doi: 10.1371/journal.pone.0260842.r001

Decision Letter 0

James Andrew Rowley

Transfer Alert

This paper was transferred from another journal. As a result, its full editorial history (including decision letters, peer reviews and author responses) may not be present.

23 Jun 2021

PONE-D-21-15342

Obstructive sleep apnea increases risk of female infertility : A 14-year follow-up nationwide population-based cohort study

PLOS ONE

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Reviewer #1: This population-based cohort study evaluated whether women with OSA had increased risk of subsequent infertility. This study explores an interesting topic, but there are some significant issues noted below.

Major points:

1. This study draws subjects from a large database, however, the number of with infertility and OSA was only 33 with only 30 subjects with OSA and no infertility in the control group.

2. It is not clear what prior exposure to OSA means. Is this the presence of disease at the start of the study, the development of OSA during the time of the study, or both? Similarly, it’s not clear what the “years of OSA exposure” is referring to. I’m not sure what Table 4 is trying to tell me.

3. The groups were then stratified into five-year age groups, making the numbers even smaller and the conclusions less robust.

4. The definition of infertility includes a time period of at least one year. How would the authors know which season has the highest risk for infertility?

5. The limitations section is very brief and should address the issue of the small sample sizes of the OSA/infertility and OSA/non-infertility groups.

6. The authors conclude that detection and diagnosis of OSA may help to increase fertility, but this is speculative. There is no clear data to support this.

Minor points:

1. Many acronyms are not defined when first used: NHIRD, NASD, PCOS, COPD.

2. The last sentence of the “Study Population” section is incomplete.

3. Under “Results,” a sentence reads “Women aged 26-30 years… had the highest percentage.” The highest percentage of what?

4. Reference 21 in the manuscript does not appear to refer to reference 21 in the References section.

5. in the discussion section, the word choice of “elderly” is not appropriate, since elderly women are clearly post-menopausal and not candidates for infertility.

6. There is a sentence in the discussion that reads, The increased of cortisol…” A word appears to be missing.

7. Under the Results section, the Tables are mislabeled.

Reviewer #2: This is a study of the impact of OSA on fertility in women. The authors did a retrospective nested 2:1 matched control study of women with and without infertility and analyzed OSA as a risk factor for infertility, accounting for multiple co-morbidities. This is a companion to their prior prospective study on non-apnea sleep disorders (NASD) and the relationship to infertility. The authors demonstrate an association of OSA with female infertility with an odds ratio of 2.1 for women with infertility to have OSA versus those without infertility and also conclude that length of exposure to OSA increases risk of infertility. However, they conclude that women with OSA are more likely to be infertile than those without, which was not the design of their study.

Strengths: The relationship between OSA and fertility is an important topic and they used a large sample size and they performed sophisticated analyses on many co-variates.

MAJOR WEAKNESSES

General:

1. There is confusion as to what the authors are trying to prove. They conclude that women with OSA are more likely to be infertile but what they show is that women who are infertile have greater odds of having OSA than women who are fertile. This study is not the same design as the prior work, where they looked at women with NASD and then did a prospective study to see the risk of infertility.

2. They do not mention how they define infertility nor if they excluded male infertility.

3. It is surprising that a cohort of 2400 women with infertility has no cases of endometriosis (with an estimated prevalence of 25-50% among infertile women) or PCOS (present in about 40% of women with infertility) making generalizability of any conclusions questionable.

4. There is no discussion of how they determined the duration of the diagnosis of OSA relative to the timing of the diagnosis of infertility.

5. The abstract suggests a different protocol, which would have been to look at women with OSA and see how many are infertile while the actual protocol was to determine odds ratio of having OSA in a cohort of subjects who are infertile.

Introduction:

6. There is a discussion about effect of physiological consequences of OSA on sperm production in mice. This does not seem relevant to a paper on female infertility. Consider discussing more about female-relevant hormones, such as you do in the discussion.

Study Population:

7. Did you exclude women who were infertile because of male infertility issues?

8. How did you determine the prior exposure of OSA?

9. Last sentence is incomplete.

Statistical Analysis

10. There is mention of a Table 5 that is not included in the submission.

Results:

11. Table 3 is confusing—consider deleting these data. Table 2 is sufficient

Discussion:

12. You did not demonstrate that women with OSA had twice the risk of infertility but, rather, that infertile women had an odds ratio of 2.1 of having OSA compared with women who were fertile.

13. The fifth paragraph is confusing and the conclusion does not follow. The sex hormones do not mask the severity—they influence the severity.

MINOR WEAKNESSES

Author response to Decision Letter 0

27 Jul 2021

Answer to Editor’s and Reviewer's comments

Thank you for your positive comments on this manuscript. The responses to the raised questions are below.

The authors have serious and reasonable comments about this manuscript. The most compelling is the study design itself; this editor agrees that what the authors have shown is that amongst infertile women, OSA is more common, not that OSA is a potential cause of infertility. In addition, the editor would like to know how the diagnoses were searched for in the database. Were ICD codes used? If so, the authors need to indicate which codes were searched for (this could be done in a table).

Response: Thank you for your constructive critique. We totally agreed with you. OSA is more common, not that OSA is a potential cause of infertility. Due to it is a case control study, therefore, association of infertility and OSA was established in these 14 years follow up retrospective population base study. We used ICD-9-CM and added table S1 to indicate the codes.

Reviewer #1:

Major points:

1. This study draws subjects from a large database, however, the number of with infertility and OSA was only 33 with only 30 subjects with OSA and no infertility in the control group.

Response: Thank you for your thorough review and salient observations. The limited number of subjects in our study is because we have excluded women who received radiation therapy, chemotherapy, genital organ surgery, and aged <20, >45 years old. We identified women who became infertile and created a 2:1 matched control group with women who were not infertile, and got 4,800 of fertility control and 2,400 of infertility case. After that, we traced back to their OSA exposure, with 33 subjects in the case group and 30 subjects in the control group.

Response: Thank you for your thorough review and salient observations. Our study is a case control study which firstly identified infertile women, then traced back to their history of OSA. What table 4 (now table 3) is trying to say is that the more years of having OSA, the higher the risk of having infertility.

3. The groups were then stratified into five-year age groups, making the numbers even smaller and the conclusions less robust.

Response: Thank you for your thorough review and salient observations.

Although the number is lesser in stratified groups, we have the largest participants (N=989,753) from NHIRD database, which has not been previously reported. And we have adjusted the odd ratio by multivariable conditional logistic regression, which we think that the p value of each stratified variables was representative. The reason why we stratified into five-year age groups is because we wanted to dig deeper into the age-related effect on OSA and infertility and provide a greater precision, rather than the entire age group.

4. The definition of infertility includes a time period of at least one year. How would the authors know which season has the highest risk for infertility?

Response: Thank you for your thorough review and salient observations.

This is a 14-year follow-up case control study, first identified the infertility then retrospectively found out previous exposure of OSA, therefore, infertility was definitely diagnosed after a time period of at least one year. We also divided 365 days into four seasons for the first time of infertility diagnosis.

5. The limitations section is very brief and should address the issue of the small sample sizes of the OSA/infertility and OSA/non-infertility groups.

Response: Thank you for your thorough review and salient observations. We have revised these mistakes based on your recommendation in limitations section.

Third, the study has the small sample size after retrospectively extracted previous OSA exposure from participants with infertility and no infertility, however, the study has the largest database (N=989,753), which has not been previously reported.

6. The authors conclude that detection and diagnosis of OSA may help to increase fertility, but this is speculative. There is no clear data to support this.

Response: Thank you for your thorough review and kind suggestions. Indeed, there is no clear data to date about the association between OSA and female infertility. Therefore, we have performed this retrospective study to proof this hypothesis. In our study, we have found increased risk of female infertility in OSA patients. However, as this is a case control study, we could only determine the association between infertility and OSA. Therefore, we revised these mistakes based on your recommendation in Conclusion part.

In conclusion, this study showed OSA is more commonly seen in infertile women,

especially those with concomitant comorbidities.

Minor points:

1. Many acronyms are not defined when first used: NHIRD, NASD, PCOS, COPD.

Response: Thank you for your thorough review and salient observations. We have revised these mistakes based on your recommendation by adding abbreviation list.

Abbreviation list:

NHIRD, National Health Insurance Research Database

NASD, Non-apnea sleep disorders

PCOS, Polycystic ovary syndrome

COPD, Chronic obstructive pulmonary disease

OSA, Obstructive sleep apnea

ICD-9-CM, International Classification of Diseases, Ninth Revision, Clinical Modification

ACOG, American College of Obstetricians and Gynecologists

2. The last sentence of the “Study Population” section is incomplete.

Response: Thank you for your thorough review and salient observations. We have revised these mistakes based on your recommendation

Moreover, common comorbidities as well as endocrine and gynecological diseases, such as obesity, Cushing syndrome, thyroid disease, PCOS, and endometriosis, were used in the analysis to evaluate the cause of infertility and their effects on OSA.

3. Under “Results,” a sentence reads “Women aged 26-30 years… had the highest percentage.” The highest percentage of what?

Response: Thank you for your thorough review and salient observations. We have revised these mistakes based on your recommendation.

Women aged 26-30 years and 31-35 years were more than other aged groups in our study population (28.0% and 32.29% respectively).

4. Reference 21 in the manuscript does not appear to refer to reference 21 in the References section.

Response: Thank you for your thorough review and salient observations. We have revised these mistakes based on your recommendation.

We have deleted reference 21.

5. in the discussion section, the word choice of “elderly” is not appropriate, since elderly women are clearly post-menopausal and not candidates for infertility.

Response: Thank you for your thorough review and salient observations. We have revised these mistakes based on your recommendation.

In the general population, older women are more likely to be infertile than younger women.

6. There is a sentence in the discussion that reads, The increased of cortisol…” A word appears to be missing.

Response: Thank you for your thorough review and salient observations. We have revised these mistakes based on your recommendation.

The increased of cortisol levels downregulated the hypothalamic-pituitary-adrenal axis and involved in the inhibition of GnRH at the pituitary level, which altered sex hormone profile and thus leading to infertility.

7. Under the Results section, the Tables are mislabeled.

Response: Thank you for your thorough review and salient observations. We have revised these mistakes based on your recommendation (page 10-11).

Reviewer #2:

MAJOR WEAKNESSES

General:

Response: Thank you for your thorough review and salient observations.

Our previous study was a prospective study but present study is a case-control study.

2. They do not mention how they define infertility nor if they excluded male infertility.

Response: Thank you for your thorough review and salient observations. We have revised these mistakes based on your recommendation in introduction section.

(1) According to the American College of Obstetricians and Gynecologists (ACOG), the definition of infertility is the failure to conceive after 1 year or more of regular unprotected sexual intercourse, https://www.acog.org/womens-health/faqs/treating-infertility.

(2) We extracted data from female infertility which was definitely diagnosed in these 14 years follow up case control study after male infertility has been excluded.

Response: Thank you for your thorough review and salient observations.

We totally agreed with you. The estimated prevalence of endometriosis and PCOS were 25-50% and 40% among infertile women.

Prevalence is based on both incidence and duration of illness. High prevalence of a disease within a population might reflect high incidence or prolonged survival without cure or both. Thus, prevalence rate is always higher than incidence rate [6]. Endometriosis and PCOS were treatable disease [1-5], therefore, it may also be the reason of no cases of endometriosis and PCOS in our cohort of 2400 women with infertility.

However, we agreed to your precise recommendation as the limitation of our study and have revised these mistakes based on your recommendation in Limitation part. Fourth, there has no incidence of endometriosis or PCOS among infertile women in case group.

References:

1. Küpker W, Felberbaum RE, Krapp M, Schill T, Malik E, Diedrich K. Use of GnRH antagonists in the treatment of endometriosis. Reprod Biomed Online. 2002 Jul-Aug;5(1):12-6. doi: 10.1016/s1472-6483(10)61590-8. PMID: 12470539.

2. Rabinovici J, Stewart EA. New interventional techniques for adenomyosis. Best Pract Res Clin Obstet Gynaecol. 2006 Aug;20(4):617-36. doi: 10.1016/j.bpobgyn.2006.02.002. Epub 2006 Aug 24. PMID: 16934530.

3. Hirsch M, Dhillon-Smith R, Cutner AS, Yap M, Creighton SM. The Prevalence of Endometriosis in Adolescents with Pelvic Pain: A Systematic Review. J Pediatr Adolesc Gynecol. 2020 Dec;33(6):623-630. doi: 10.1016/j.jpag.2020.07.011. Epub 2020 Jul 29. PMID: 32736134.

4. Khadilkar S. S. (2019). Can Polycystic Ovarian Syndrome be cured? Unfolding the Concept of Secondary Polycystic Ovarian Syndrome!. Journal of obstetrics and gynaecology of India, 69(4), 297–302. https://doi.org/10.1007/s13224-019-01253-z

5. Arain F, Arif N, Halepota H. Frequency and outcome of treatment in polycystic ovaries related infertility. Pak J Med Sci. 2015;31(3):694-9. doi: 10.12669/pjms.313.8003. PMID: 26150870; PMCID: PMC4485297.

6. https://www.cdc.gov/csels/dsepd/ss1978/lesson3/section2.html

4. There is no discussion of how they determined the duration of the diagnosis of OSA relative to the timing of the diagnosis of infertility.

Response: Thank you for your thorough review and salient observations. We have added table 4 to determine the duration of the diagnosis of OSA relative to the timing of the diagnosis of infertility.

Response: Thank you for your thorough review and salient observations. We have revised these mistakes based on your recommendation in the abstract.

To determine the risk of having obstructive sleep apnea in a cohort of female patients who are infertile.

Introduction:

Response: Thank you for your thorough review and salient observations. We have revised these mistakes based on your recommendation. We have revised the sentence that related to sperm production in mice to “Scientists have demonstrated young to middle-aged mice which experienced chronic intermittent hypoxia, have reduced the reproductive functions via the decreased of nitric oxide production” and added 4 new references to discuss more about female-relevant hormones in discussion part.

In addition, sex hormone also participated in the distribution of adipose tissue and muscle function in upper respiratory tract [1]. Scientist have demonstrated that high progesterone level in pregnancy status had the protective role in developing OSA, even in obese pregnant women [2, 3]. Greater activity of dilator muscle in upper respiratory tract was also seen in progesterone-dominant luteal phase [4].

References:

1. Fotis Kapsimalis, MD, Meir H. Kryger, MD, FRCPC, Gender and Obstructive Sleep Apnea Syndrome, Part 2: Mechanisms, Sleep, Volume 25, Issue 5, August 2002, Pages 497–504, https://doi.org/10.1093/sleep/25.5.497

2. Brownell LG, West P, Kryger MH. Breathing during sleep in normal pregnant women. Am Rev Respir Dis. 1986;133(1):38-41.

3. Maasilta P, Bachour A, Teramo K, Polo O, Laitinen LA. Sleeprelated disordered breathing during pregnancy in obese women. Chest.

2001;120(5):1448-54.

4. Popovic RM, White DP. Upper airway muscle activity in normal women: influence of hormonal status. J Appl Physiol 1998;84(3):1055-1062.

Study Population:

7. Did you exclude women who were infertile because of male infertility issues?

Response: Thank you for your thorough review and salient observations. We extracted data from female infertility which was definitely diagnosed in these 14 years follow up case control study after male infertility has been excluded.

8. How did you determine the prior exposure of OSA?

Response: Thank you for your thorough review and salient observations. We determined the prior exposure of OSA by the first infertility diagnosis. We have added table 4 to determine the duration of the diagnosis of OSA relative to the timing of the diagnosis of infertility.

9. Last sentence is incomplete.

Response: Thank you for your thorough review and salient observations. We have revised these mistakes based on your recommendation. We have deleted the unnecessary words.

Statistical Analysis

10. There is mention of a Table 5 that is not included in the submission.

Response: Thank you for your thorough review and salient observations. We have revised these mistakes based on your recommendation. We have added table 5 (now table S2) in the end of manuscripts.

Results:

11. Table 3 is confusing—consider deleting these data. Table 2 is sufficient

Response: Thank you for your thorough review and salient observations. We have deleted Table 3 based on your recommendation.

Discussion:

12. You did not demonstrate that women with OSA had twice the risk of infertility but, rather, that infertile women had an odds ratio of 2.1 of having OSA compared with women who were fertile.

Response: Thank you for your thorough review and salient observations. We have revised these mistakes based on your recommendation by substitute the sentence to “In this nationwide, population-based, case-control study of over 14 years, we have found that infertile women had an odds ratio of 2.1 of having OSA compared with women who were fertile by creating a 2:1 matched control group with women who were not infertile”, instead of “women with OSA had twice the risk of infertility” (page 12).

13. The fifth paragraph is confusing and the conclusion does not follow. The sex hormones do not mask the severity—they influence the severity.

Response: Thank you for your thorough review and salient observations. We totally agreed with you. We have revised “Sex hormones do not mask the severity” to

sex hormones may influence the severity of OSA (page 15).

MINOR WEAKNESSES

Decision Letter 1

James Andrew Rowley

25 Aug 2021

PONE-D-21-15342R1

Obstructive sleep apnea increases risk of female infertility : A 14-year follow-up nationwide population-based cohort study

PLOS ONE

Dear Dr. Chien,

While the first reviewer feels that you have responded to her comments in a satisfactory manner, the second reviewer still has concerns at this time. In reading her comments, I must agree that you have two different analyses here and both need to be clearly delineated:

1. You find a higher prevalence of OSA in patients with infertility

2. OSA increases the risk of infertility

I also agree with some of the other changes the second reviewer recommends; they would greatly improve the manuscript and readability. I strongly urge you to consider these changes.

Please submit your revised manuscript by Oct 09 2021 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

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An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

We look forward to receiving your revised manuscript.

Kind regards,

James Andrew Rowley

Academic Editor

PLOS ONE

Journal Requirements:

Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

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Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: All comments have been addressed

Reviewer #2: (No Response)

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2. Is the manuscript technically sound, and do the data support the conclusions?

Reviewer #1: Yes

Reviewer #2: Partly

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: I Don't Know

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4. Have the authors made all data underlying the findings in their manuscript fully available?

Reviewer #1: Yes

Reviewer #2: Yes

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5. Is the manuscript presented in an intelligible fashion and written in standard English?

Reviewer #1: Yes

Reviewer #2: Yes

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6. Review Comments to the Author

Reviewer #1: (No Response)

Reviewer #2: Thank you for your work addressing both my concerns and those of the other reviewer. This revision makes it more clear that you are attempting to do two different analyses, which still needs to be clearly enunciated (see comments below). In addition, I am still concerned and confused about the absence of cases of endometriosis and the presence of just one case of PCOS (which happened to be in the fertile cohort). Please address these issues directly, particularly as I found an analysis of the LHID covering a similar period of time that was published in 2019 (https://www.liebertpub.com/doi/full/10.1089/jwh.2018.7648) looking at the relationship of PCOS and periodontal disease that identified 744 patients with PCOS and it is surprising that not a single one of these cases also had a diagnosis of infertility and did not have one of your exclusionary criteria. Finally, I have some issues with your description about the timing of OSA diagnosis and onset of infertility and I believe that the discussion about seasonality is less relevant.

MAJOR WEAKNESSES

ABSTRACT

Objectives: There are actually two objectives: to determine the risk of having OSA in a cohort of female subjects who are infertile and the odds of being infertile in women with OSA.

Results: Highlight the disparity between the prevalence of OSA in the infertile versus fertile group: “Of those women with infertility, 1.38% had a history of OSA compared with 0.63% of fertile controls (p=0.002).

Conclusion: You did not show that OSA is underdiagnosed nor did you fully show that if untreated, it increases the likelihood of infertility. Please be more precise: “Our study showed that OSA is more commonly seen in infertile women and increases the odds that a woman will be infertile. In addition, the likelihood of being diagnosed with infertility increases with time from the diagnosis of OSA [although please see my discussion about this particularly factor below]. More studies need to be done on the whether or not diagnosing and treating OSA can decrease the rate of infertility.”

INTRODUCTION

Third Paragraph: Please delete the whole section about mice as it is irrelevant and relates to male mice.

RESULTS

Second Paragraph: You should have the increased likelihood of subjects with OSA to be infertile at the end of this paragraph where you discuss the other results from Table 2 rather than coming after the information about stratification by possible years of exposure to OSA that starts paragraph 3.

Third Paragraph: I would eliminate the discussion about years of prior OSA exposure since you do not know which patients, if any, were treated nor do you know severity, rendering this a statistically significant result that may or may not have clinical relevance. It is enough to establish an association between having a diagnosis of OSA and one of infertility unless you had more information. Also, Tables 3 and 4 are confusing—it is not clear what you mean about first and last exposure to OSA prior to diagnosis of infertility.

DISCUSSION

First Paragraph: You not only found that women with OSA had an odds ratio of 2.1 of being infertile but also that infertile women were more likely to have OSA.

Third Paragraph: I do not think it adds much and would consider deleting it.

Fourth Paragraph:

1. Is it clear that OSA increases the risk of PCOS or, rather, that patients with PCOS are at greater risk of having OSA, not just because of obesity but also because of hyperadrenergism? Also, I am not aware of OSA increasing the risk of endometriosis. Reference 29 talks about progesterone—I do not think it addresses what you wrote.

2. Reference 32 describes the presentation of sleep-disordered breathing in women and does not discuss the HPA axis and infertility. Either delete this sentence or put in the correct reference. Perhaps you mean to be referencing reference 32 from the initial draft and the article by Ferin?

3. The last 2 sentences seem relevant as this is not a study of salivary cortisol.

Fifth Paragraph:

Consider deleting this. It is not relevant to your argument and has some confusing concepts. For example, the lower prevalence of OSA In women is not because they have different presenting symptoms, it is because of other reasons you mention.

Sixth Paragraph:

I have difficulty with the concept of determining an association of the season of onset of infertility with the date of diagnosis so I would eliminate this entire finding/discussion.

Seventh Paragraph/Limitations:

1. You need to mention that when assessing the duration of OSA, it is approximated by date of diagnosis code and that you do not know whether or not it is treated subsequent to that. I would delete the analysis of this factor because of the limited knowledge but if you keep it in, you need to mention this as a limitation.

2. Secondly, you mention the low rate of PCOS (I think there was 1 case in the fertile group) and endometriosis but do not then provide any explanation and as above, I am concerned given another recent publication that you found so few cases of PCOS overall.

CONCLUSION

You conclude that OSA is more common in infertile women but left out what you had prior that women with OSA have a greater likelihood of being infertile so please add this back. I believe you have greater difficulty with the length of exposure given that you do not know if women are treated or not and should narrow your conclusion to the increased prevalence and likelihood and conclude that infertile women should be screened for signs and symptoms of OSA.

TABLES

Table 2: You do not mention what variables you adjusted for in the adjusted odds ratio. Please add that to the footnote at the bottom of the table. Delete the “without” and “with” headings under the associated disease as they are not necessary and it is confusing.

Tables 3 and 4: I do not understand what is meant by first and last exposure to OSA prior to the diagnosis of infertility. Given how speculative this information is, you might to consider deleting it since you do not know if the OSA is treated or not.

MINOR WEAKNESSES

INTRODUCTION

Second paragraph: 1. website reference to definition of infertility should be a footnote; 2. The reduction in fertility rate could be a function of societal change and not necessarily indicate a change in rate of infertility. Consider rephrasing or eliminating that discussion.

Third paragraph: “Infertility can be associated with multiple factors”.

MATERIALS AND METHODS

Study Population, first paragraph: The diagnosis of OSA is made BY polysomnography.

RESULTS

First Paragraph: Move the sentence about the prevalence of women of different age groups before the sentence about the prevalence of OSA as it interrupts the flow.

DISCUSSION:

6th paragraph: Please edit the sentence about the cows to be grammatically correct.

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Reviewer #1: No

Reviewer #2: No

PLoS One. 2021 Dec 15;16(12):e0260842. doi: 10.1371/journal.pone.0260842.r004

Author response to Decision Letter 1

7 Oct 2021

Answer to Editor’s and Reviewer's comments

Thank you for your positive comments on this manuscript. The responses to the raised questions are below.

Response: Thank you for your constructive critique. We have revised one by one according to your recommendations below.

MAJOR WEAKNESSES

ABSTRACT

Objectives: There are actually two objectives: to determine the risk of having OSA in a cohort of female subjects who are infertile and the odds of being infertile in women with OSA.

Response: Thank you for your thorough review and salient observations. We have revised them according to your recommendation.

Objectives: To determine the risk of having OSA in a cohort of female subjects who are infertile and the odds of being infertile in women with OSA.

Patients and methods: A nationwide, case-control study of female patients 20 years or older diagnosed with female infertility living in Taiwan, from January 1, 2000, through December 31, 2013 (N = 4,078). We identified women who were infertile and created a 2:1 matched control group with women who were not infertile. We used multivariable logistic regression analysis to further estimate the effects of OSA on female infertility.

Results: In this 14- year retrospective study, we included 4,078 patients having an initial diagnosis of female infertility. Of those women with infertility, 1.38% had a history of OSA compared with 0.63% of fertile controls (p=0.002). The mean ages in the study groups were 32.19 ± 6.20 years, whereas the mean ages in the control groups were 32.24 ± 6.37years. Women with OSA had 2.101- times the risk of female infertility compared to women without OSA (p<0.001).

Conclusion: Our study showed that OSA is more commonly seen in infertile women and increases the odds that a woman will be infertile. More studies need to be done on the whether or not diagnosing and treating OSA can decrease the rate of infertility.

INTRODUCTION

Third Paragraph: Please delete the whole section about mice as it is irrelevant and relates to male mice.

Response: Thank you for your thorough review and salient observations. We have deleted the whole section about mice as it is irrelevant and relates to male mice.

Infertility can be associated with multiple factors, such as inflammation, obesity, intermittent hypoxia and sympathetic activation8,9. In addition, continuous positive airway pressure treatment showed the increased rate of successful intercourse attempts and increased of the score in International Index of Erectile Function 10,11. In our previous study, we have found an increased risk of infertility in female patients with non-apnea sleep disorder 12. However, little is known about whether OSA is associated with a risk of female infertility.

References:

8. Torres M, Laguna-Barraza R, Dalmases M, et al. Male fertility is reduced by chronic intermittent hypoxia mimicking sleep apnea in mice. Sleep 2014; 37(11): 1757-65.

9. Soukhova-O'Hare GK, Shah ZA, Lei Z, Nozdrachev AD, Rao CV, Gozal D. Erectile dysfunction in a murine model of sleep apnea. American journal of respiratory and critical care medicine 2008; 178(6): 644-50.

10. Li X, Dong Z, Wan Y, Wang Z. Sildenafil versus continuous positive airway pressure for erectile dysfunction in men with obstructive sleep apnea: a meta-analysis. The Aging Male 2010; 13(2): 82-6.

11. Perimenis P, Karkoulias K, Konstantinopoulos A, et al. Sildenafil versus continuous positive airway pressure for erectile dysfunction in men with obstructive sleep apnea: a comparative study of their efficacy and safety and the patient's satisfaction with treatment. Asian journal of andrology 2007; 9(2): 259-64.

12. Wang ID, Liu YL, Peng CK, et al. Non-apnea sleep disorder increases the risk of subsequent female infertility-a nationwide population-based cohort study. Sleep 2018; 41(1): zsx186.

RESULTS

Response: Thank you for your thorough review and salient observations. We have revised according to your recommendation.

Response: Thank you for your thorough review and salient observations. We have deleted them according to your recommendation.

DISCUSSION

First Paragraph: You not only found that women with OSA had an odds ratio of 2.1 of being infertile but also that infertile women were more likely to have OSA.

Response: Thank you for your thorough review and salient observations. We have revised according to your recommendation. Our study is the largest retrospective study to date demonstrating the association of female infertility with OSA. In this nationwide, population-based, case-control study of over 14 years, we have found that infertile women had an odds ratio of 2.1 of having OSA compared with women who were fertile but also infertile women were more likely to have OSA. This article is the second study in which our groups has shown that women with sleep disorders could link to female infertility. In our previous article, we have found that women with non-apnea sleep disorder had a 3.718-fold risk of female infertility compared with the control cohort12.

Reference:

12. Wang ID, Liu YL, Peng CK, et al. Non-apnea sleep disorder increases the risk of subsequent female infertility-a nationwide population-based cohort study. Sleep 2018; 41(1): zsx186.

Third Paragraph: I do not think it adds much and would consider deleting it.

Response: Thank you for your thorough review and salient observations. We have deleted third paragraph according to your recommendation.

Fourth Paragraph:

Response: Thank you for your thorough review and salient observations. PCOS was defined as 1) oligoovulation, 2) clinical hyperandrogenism (i.e. hirsutism) and/or hyperandrogenemia, and 3) exclusion of other related disorders, such as hyperprolactinemia, thyroid abnormalities, and non-classic adrenal hyperplasia1. Therefore, PCOS are at greater risk of having OSA, not just because of obesity but also because of hyperadrenergism. Also, due to OSA did not increase the risk of endometriosis, we have deleted the word “endometriosis” according to your suggestion.

References:

1. Knochenhauer, E. S., Key, T. J., Kahsar-Miller, M., Waggoner, W., Boots, L. R., & Azziz, R. (1998). Prevalence of the polycystic ovary syndrome in unselected black and white women of the southeastern United States: a prospective study. The Journal of clinical endocrinology and metabolism, 83(9), 3078–3082. https://doi.org/10.1210/jcem.83.9.5090

Response:

Thank you for your thorough review and salient observations. We have corrected the reference to Ferin M. Stress and the Reproductive Cycle. The Journal of Clinical Endocrinology & Metabolism 1999; 84(6): 1768-74.

3. The last 2 sentences seem relevant as this is not a study of salivary cortisol.

Response: Thank you for your thorough review and salient observations. We have revised the reference according to your suggestion.

Patients with OSA are at risk of metabolic disorders, including an irregular menstrual cycle, obesity and PCOS29. The menstrual cycle is modulated by the hypothalamus–pituitary–gonadal axis. The hypothalamus releases gonadotropin-releasing hormone, the pituitary gland produces follicle-stimulating hormone and luteinizing hormone, and the ovary produces estrogen and testosterone. Kloss et al. hypothesized that sleep disorders may activate the hypothalamus–pituitary–gonadal axis and alter sex hormones in the follicular, ovulation, luteal, and menstruation phases, ultimately resulting in inferility30. In addition, the interruption of breathing during sleep as a result of OSA can cause circadian dysrhythmia due to the increased levels of melatonin and cortisol31. The increased of cortisol levels downregulated the hypothalamic-pituitary-adrenal axis and involved in the inhibition of GnRH at the pituitary level, which altered sex hormone profile and thus leading to infertility32. Moreover, women with higher salivary cortisol levels have lower levels of estradiol during the follicular and luteal phases, accompanied by an increased concentration of cortisol and estrogen receptors in the mood regulation region of the brain33. Therefore, salivary cortisol levels are inversely proportional to estradiol levels, which may lead to missed or irregular periods and make getting pregnant difficult.

References:

29. Nitsche K, Ehrmann DA. Obstructive sleep apnea and metabolic dysfunction in polycystic ovary syndrome. Best Pract Res Clin Endocrinol Metab 2010; 24(5): 717-30.

30. Kloss JD, Perlis ML, Zamzow JA, Culnan EJ, Gracia CR. Sleep, sleep disturbance, and fertility in women. Sleep Med Rev 2015; 22: 78-87.

31. Potter GDM, Skene DJ, Arendt J, Cade JE, Grant PJ, Hardie LJ. Circadian Rhythm and Sleep Disruption: Causes, Metabolic Consequences, and Countermeasures. Endocr Rev 2016; 37(6): 584-608.

32. Ferin M. Stress and the Reproductive Cycle. The Journal of Clinical Endocrinology & Metabolism 1999; 84(6): 1768-74.

33. Hamidovic A, Karapetyan K, Serdarevic F, Choi SH, Eisenlohr-Moul T, Pinna G. Higher Circulating Cortisol in the Follicular vs. Luteal Phase of the Menstrual Cycle: A Meta-Analysis. Front Endocrinol (Lausanne) 2020; 11: 311-.

Fifth Paragraph:

Response: Thank you for your thorough review and salient observations. We have deleted it according to your recommendation.

Sixth Paragraph:

I have difficulty with the concept of determining an association of the season of onset of infertility with the date of diagnosis so I would eliminate this entire finding/discussion.

Response: Thank you for your thorough review and salient observations. We have deleted it according to your recommendation.

Seventh Paragraph/Limitations:

Response: Thank you for your thorough review and salient observations. We have deleted the analysis of this factor and added it as limitation, according to your recommendation.

This study had some limitations. First, our database could not provide detailed information about laboratory data or about the psychological impact of infertility and the use of assisted reproductive technologies. Second, although the diagnosis of OSA is made by polysomnography, we could not obtain the severity of OSA due to the de-identification in the database. Therefore, studies regarding the severity of OSA and subsequent female infertility are warranted. Third, although the study draws subjects from a large database, however, the number of infertility and OSA was only 33 and the number of OSA with no infertility in the control group was only 30 subjects. Fourth, there has no incidence of endometriosis or PCOS among infertile women in case group. A study has showed no infertility case in polycystic ovaries after performing blood hormones test and gynecologic ultrasonography and no constructive study that shows the relationship between OSA and endometriosis44. Fifth, the duration of OSA is approximated by date of diagnosis code but we do not know whether or not it is treated subsequent to that. Despite the listed limitations, our study provided a large group of patients and its longitudinal effects of over 14 years.

Reference:

44. Tong, C., Wang, Y. H., Yu, H. C., & Chang, Y. C. (2019). Increased Risk of Polycystic Ovary Syndrome in Taiwanese Women with Chronic Periodontitis: A Nationwide Population-Based Retrospective Cohort Study. Journal of women's health (2002), 28(10), 1436–1441. https://doi.org/10.1089/jwh.2018.7648

Response: Thank you for your thorough review and salient observations. We have advised it according to your recommendation.

Reference:

CONCLUSION

Response: Thank you for your thorough review and salient observations.

TABLES

Response: Thank you for your thorough review and salient observations. We have revised them in Material and methods and Table section according to your recommendation.

We compared the study and control groups with regard to characteristics and common comorbidities, including hypertension, diabetes mellitus, hyperlipidemia, and COPD, by using chi-squared tests. The mean ages of the two groups were compared using Student’s t-test. The odds ratio (OR) for factors potentially associated with female infertility were evaluated using multivariable logistic regression with and without stratification. The variables that adjusted in the odds ratio were the variables that listed in the table. Correlation analysis was used to study the strength of a relationship between age groups and the variables listed in Table S2. All comparisons were two-tailed, and p-values <0.05 were considered statistically significant. The statistical analyses were performed using IBM SPSS v 22.0 software.

Response: Thank you for your thorough review and salient observations. We have deleted Table 3 and 4 according to your recommendation.

MINOR WEAKNESSES

INTRODUCTION

Response: Thank you for your thorough review and salient observations. We have revised them according to your recommendation.

According to the American College of Obstetricians and Gynecologists (ACOG), the definition of infertility is the failure to conceive after 1 year or more of regular unprotected sexual intercourse6. The prevalence of infertility has increased since 1990; in 2010, approximately 48.5 million individuals worldwide suffered from infertility7. Moreover, according to the data published by Taiwan’s Ministry of the Interior, the fertility rates of women within childbearing age decreased from 1.680 births per woman in 2000 to 1.080 births per woman in 2018, with the mean age of the women at their first birth increasing from 22.88 years to 30.90 years during that period. Female infertility can result from various conditions, including endometriosis, pelvic adhesion, polycystic ovary syndrome, tubal blockage, hyperprolactinemia, and congenital or acquired uterine or ovarian abnormalities8.

References:

6. Medicine CoGPftASfR, Obstetricians tACo, Gynecologists. Infertility workup for the Women’s Health Specialist. Obstet Gynecol 2019; 133: e377-e84.

7. Mascarenhas MN, Flaxman SR, Boerma T, Vanderpoel S, Stevens GA. National, regional, and global trends in infertility prevalence since 1990: a systematic analysis of 277 health surveys. PLoS Med 2012; 9(12): e1001356.

8. Abrao MS, Muzii L, Marana R. Anatomical causes of female infertility and their management. International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics 2013; 123 Suppl 2: S18-S24.

Third paragraph: “Infertility can be associated with multiple factors”.

Response: Thank you for your thorough review and salient observations. We have revised it according to your recommendation.

MATERIALS AND METHODS

Study Population, first paragraph: The diagnosis of OSA is made BY polysomnography.

Response: Thank you for your thorough review and salient observations. We have revised it according to your recommendation.

RESULTS

First Paragraph: Move the sentence about the prevalence of women of different age groups before the sentence about the prevalence of OSA as it interrupts the flow.

Response: Thank you for your thorough review and salient observations. We have revised it according to your recommendation.

We identified 4,078 female patients in the database who had been diagnosed with infertility by the end of the study. After applying the exclusion criteria, 2,400 patients were included and assigned as the study group in the analysis. The control group comprised 4,800 matched women without infertility. The mean ages in the study groups were 32.19 ± 6.20 years, whereas the mean ages in the control groups were 32.24 ± 6.37 years. Table 1 summarizes the characteristics of the study and the control groups. There were significantly more patients who had been diagnosed with OSA in the study group than in the control group (1.38% vs. 0.63%; p = .002). In addition, we have found that 33 patients in the study group and 30 patients in the reference group, who have had prior exposure to OSA. Women aged 26-30 years and 31-35 years were more than other aged groups in our study population (28.0% and 32.29% respectively).

DISCUSSION:

6th paragraph: Please edit the sentence about the cows to be grammatically correct.

Response: Thank you for your thorough review and salient observations. We have deleted the paragraph because the discussion about seasonality is less relevant.

Last, we are deeply honored by the time and effort you spent in reviewing this manuscript. In reviewing and revising our text, we are motivated to read more and thus learn more from your criticisms.

Attachment

Submitted filename: 2021-09-21 Response to Reviewers.docx

Click here for additional data file.^{(44.4KB, docx)}

PLoS One. doi: 10.1371/journal.pone.0260842.r005

Decision Letter 2

James Andrew Rowley

27 Oct 2021

PONE-D-21-15342R2Obstructive sleep apnea increases risk of female infertility : A 14-year follow-up nationwide population-based cohort studyPLOS ONE

Dear Dr. Chien,

Please make the suggested revisions for Reviewer #2.

Please submit your revised manuscript by Dec 11 2021 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

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A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.
An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

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We look forward to receiving your revised manuscript.

Kind regards,

James Andrew Rowley

Academic Editor

PLOS ONE

Journal Requirements:

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

Reviewer #2: (No Response)

**********

2. Is the manuscript technically sound, and do the data support the conclusions?

Reviewer #2: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #2: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

Reviewer #2: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

Reviewer #2: Yes

**********

6. Review Comments to the Author

Reviewer #2: Thank you for your attention to my previous comments. This paper is much improved. There are still some minor weaknesses to address but we are almost there. Please see remaining comments below.

Minor Weaknesses

Abstract: delete the sentence in the conclusion about the likelihood of being infertile increasing with time from diagnosis of OSA as you deleted this analysis because of insufficient information.

Introduction, 3rd paragraph: please delete the sentence about CPAP improving erectile function—not relevant to a population of women (and be careful about adjusting your references).

Discussion, 1st paragraph, second sentence: “ . . . found that infertile women had” should be “infertile women have” and 3rd sentence: . . . which our groups have shown” or “which our group has shown”—whichever version is correct.

Discussion, 3rd paragraph: As mentioned before, the first sentence is incorrect. Women with PCOS are at increased risk for OSA; women with OSA are NOT known to be at increased risk for PCOS. Your topic sentence really should be about a theoretical relationship of hormonal dysregulation from OSA leading to infertility. Please change it.

Discussion, 3rd paragraph: . . . “ . . . cortisol31. The increase in cortisol levels can downregulate the HPA axis and inhibit GnRH at the pituitary level, which may alter sex hormone profiles and thus lead to infertility.32”

Discussion, 3rd paragraph: delete the discussion about salivary cortisol. It does not add anything and is confusing.

Discussion 4th paragraph: “ . . . prevalence of OSA In women is lower than IN men”.

Discussion 4th paragraph: the lower prevalence of OSA in pre-menopausal women is not a function of atypical presentation, it simply is. The atypical presentation explains the underdiagnosis of women but the prevalence is still lower in women so please revise this section.

Limitations: Delete the first limitation.

Limitations: fourth limitation: please point out that the absence of women with endometriosis and PCOS in the infertile cohort potentially limits the applicability in populations where these disorders are more common. Please delete the sentence about no infertility in PCOS and reference 45—not the point here.

Limitations: please delete the fifth limitation as you have removed that analysis from this paper.

**********

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Reviewer #2: No

PLoS One. 2021 Dec 15;16(12):e0260842. doi: 10.1371/journal.pone.0260842.r006

Author response to Decision Letter 2

3 Nov 2021

Answer to Editor’s and Reviewer's comments

Thank you for your positive comments on this manuscript. The responses to the raised questions are below.

Reviewer's Responses to Questions

Comments to the Author

Reviewer #2: (No Response)

2. Is the manuscript technically sound, and do the data support the conclusions?

Reviewer #2: Yes

Response: Thank you for your thorough review and salient observations.

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #2: Yes

Response: Thank you for your thorough review and salient observations.

4. Have the authors made all data underlying the findings in their manuscript fully available?

Reviewer #2: Yes

Response: Thank you for your thorough review and salient observations.

5. Is the manuscript presented in an intelligible fashion and written in standard English?

Reviewer #2: Yes

Response: Thank you for your thorough review and salient observations.

6. Review Comments to the Author

Response: Thank you for your thorough review and salient observations. We have revised these mistakes according to your suggestion.

Minor Weaknesses

Abstract: delete the sentence in the conclusion about the likelihood of being infertile increasing with time from diagnosis of OSA as you deleted this analysis because of insufficient information.

Response: Thank you for your thorough review and salient observations. We have revised these mistakes according to your suggestion.

Conclusion: Our study showed OSA is more commonly seen in infertile women, especially those with concomitant comorbidities, but yet its risk is often underdiagnosed. Therefore, early detection of OSA in women, especially in those with atypical symptoms, may help to increase female fertility rate.

Introduction, 3rd paragraph: please delete the sentence about CPAP improving erectile function—not relevant to a population of women (and be careful about adjusting your references).

Response: Thank you for your thorough review and salient observations. We have revised these mistakes according to your suggestion.

Infertility was associated with multiple factors, such as inflammation, obesity, intermittent hypoxia and sympathetic activation. Scientists have demonstrated young to middle-aged mice which experienced chronic intermittent hypoxia, have reduced the reproductive functions via the decreased of nitric oxide production. They have found the association of male infertility in these OSA mice8,9. In our previous study, we have found an increased risk of infertility in female patients with non-apnea sleep disorder10. However, little is known about whether OSA is associated with a risk of female infertility.

References:

8. Torres M, Laguna-Barraza R, Dalmases M, et al. Male fertility is reduced by chronic intermittent hypoxia mimicking sleep apnea in mice. Sleep 2014; 37(11): 1757-65.

10. Wang ID, Liu YL, Peng CK, et al. Non-apnea sleep disorder increases the risk of subsequent female infertility-a nationwide population-based cohort study. Sleep 2018; 41(1): zsx186.

Response: Thank you for your thorough review and salient observations. We have revised these mistakes according to your suggestion.

Our study is the largest retrospective study to date demonstrating the association of female infertility with OSA. In this nationwide, population-based, case-control study of over 14 years, we have found that infertile women had an odds ratio of 2.1 of having OSA compared with women who were fertile. This article is the second study in which our groups has shown that women with sleep disorders could link to female infertility. In our previous article, we have found that women with non-apnea sleep disorder have a 3.718-fold risk of female infertility compared with the control cohort10.

Reference:

10. Wang ID, Liu YL, Peng CK, et al. Non-apnea sleep disorder increases the risk of subsequent female infertility-a nationwide population-based cohort study. Sleep 2018; 41(1): zsx186.

Response: Thank you for your thorough review and salient observations. We have revised these mistakes according to your suggestion.

Patients with OSA are at risk of metabolic disorders, including an irregular menstrual cycle, endometriosis, and uterine leiomyoma27.

Reference:

27. Skatrud J, Dempsey J, Kaiser D. Ventilatory response to medroxyprogesterone acetate in normal subjects: time course and mechanism. J Appl Physiol 1978; 44(6): 939-44.

Response: Thank you for your thorough review and salient observations. We have revised these mistakes according to your suggestion.

Discussion, 3rd paragraph: delete the discussion about salivary cortisol. It does not add anything and is confusing.

Response: Thank you for your thorough review and salient observations. We have deleted the discussion about salivary cortisol according to your suggestion.

Discussion 4th paragraph: “ . . . prevalence of OSA In women is lower than IN men”.

Response: Thank you for your thorough review and salient observations. We have revised these mistakes according to your suggestion.

It is because of atypical OSA symptoms such as depression, headache, anxiety and insomnia are more frequent presented in women31.

Reference:

31. Collop NA, Adkins D, Phillips BA. Gender differences in sleep and sleep-disordered breathing. Clin Chest Med 2004; 25(2): 257-68.

Limitations: Delete the first limitation.

Response: Thank you for your thorough review and salient observations. We have revised these mistakes according to your suggestion.

Limitations: please delete the fifth limitation as you have removed that analysis from this paper.

Response: Thank you for your thorough review and salient observations. We have revised these mistakes according to your suggestion.

7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #2: No

Response: Thank you for your thorough review and salient observations.

Last, we are deeply honored by the time and effort you spent in reviewing this manuscript. In reviewing and revising our text, we are motivated to read more and thus learn more from your criticisms.

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PLoS One. doi: 10.1371/journal.pone.0260842.r007

Decision Letter 3

James Andrew Rowley

16 Nov 2021

PONE-D-21-15342R3Obstructive sleep apnea increases risk of female infertility : A 14-year follow-up nationwide population-based cohort studyPLOS ONE

Dear Dr. Chien,

The academic editor went through the latest revisions for the reviewer and most of have been changed in a satisfactory manner. However, there is still one small change to make, regarding the comment on prevalence (5th paragraph of discussion). The reviewer was pointing out that the lower prevalence in women is NOT due to an atypical presentation as epidemiologic studies, in which all subjects are studied, is lower in women. However, what is lower is underevaluation because of atypical presentations. Thus,the second sentence of this paragraph should be changed to: 'There is also likely underdiagnosis of OSA in women due to atypical symptoms such as...'. Please submit your revised manuscript by Dec 31 2021 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

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Reviewers' comments:

PLoS One. 2021 Dec 15;16(12):e0260842. doi: 10.1371/journal.pone.0260842.r008

Author response to Decision Letter 3

16 Nov 2021

Answer to Editor’s and Reviewer's comments

Thank you for your positive comments on this manuscript. The responses to the raised questions are below.

Reviewer's Responses to Questions

Comments to the Author

Response: Thank you for your thorough review and salient observations. We have revised these mistakes according to your suggestion.

Scientists have demonstrated the prevalence of OSA in women is lower than in men2. There is also likely underdiagnosis of OSA in women due to atypical symptoms such as depression, headache, anxiety and insomnia are more frequent presented in women31.

References:

2. Young T, Palta M, Dempsey J, Skatrud J, Weber S, Badr S. The occurrence of sleep-disordered breathing among middle-aged adults. The New England journal of medicine 1993; 328(17): 1230-5.

31. Ferin M. Stress and the Reproductive Cycle. The Journal of Clinical Endocrinology & Metabolism 1999; 84(6): 1768-74.

Last, we are deeply honored by the time and effort you spent in reviewing this manuscript. In reviewing and revising our text, we are motivated to read more and thus learn more from your criticisms.

Attachment

Submitted filename: 2021-11-17 Response to Reviewers.docx

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PLoS One. doi: 10.1371/journal.pone.0260842.r009

Decision Letter 4

James Andrew Rowley

18 Nov 2021

Obstructive sleep apnea increases risk of female infertility : A 14-year follow-up nationwide population-based cohort study

PONE-D-21-15342R4

Dear Dr. Chien,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

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Kind regards,

James Andrew Rowley

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

PLoS One. doi: 10.1371/journal.pone.0260842.r010

Acceptance letter

James Andrew Rowley

6 Dec 2021

PONE-D-21-15342R4

Obstructive sleep apnea increases risk of female infertility: A 14-year nationwide population-based study

Dear Dr. Chien:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

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on behalf of

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Associated Data

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

Supplementary Materials

S1 Table. Abbreviation and ICD-9-CM.

(DOCX)

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S2 Table. Correlation between variables listed in the table and age group.

(DOCX)

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Data Availability Statement

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PERMALINK

Obstructive sleep apnea increases risk of female infertility: A 14-year nationwide population-based study

Zhu Wei Lim

I-Duo Wang

Panchalli Wang

Chi-Hsiang Chung

Song-Shan Huang

Chien-Chu Huang

Pei-Yi Tsai

Gwo-Jang Wu

Kuo-Hsiang Wu

Wu-Chien Chien

Roles

Abstract

Objectives

Patients and methods

Results

Conclusion

Introduction

Materials and methods

Data source

Study population

Fig 1. The flowchart of study design (nested case-control study) from National Health Insurance Research Database in Taiwan.

Statistical analysis

Results

Table 1. Characteristics of study.

Table 2. Factors of infertility by using multivariable conditional logistic regression.

Discussion

Conclusion

Supporting information

Acknowledgments

Abbreviations

Data Availability

Funding Statement

References

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James Andrew Rowley

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James Andrew Rowley

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Decision Letter 2

James Andrew Rowley

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Author response to Decision Letter 2

Decision Letter 3

James Andrew Rowley

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Author response to Decision Letter 3

Decision Letter 4

James Andrew Rowley

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Acceptance letter

James Andrew Rowley

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Associated Data

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