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Prevalence of chronic pelvic pain and primary dysmenorrhea in women of reproductive age in Ecuador



Chronic pelvic pain (CPP) and primary dysmenorrhoea are debilitating conditions that can impair the quality of life of affected women. These conditions are frequently neglected, delaying proper diagnosis and healthcare provision. This study aimed to estimate the prevalence of CPP and primary dysmenorrhoea in Ecuador and identify potential variables associated with their occurrence.


We conducted a cross-sectional survey in an urban neighbourhood of Quito, the capital of Ecuador. A total of 2397 participants of 14–49 years of age were included. The data were collected through questionnaires administered by trained interviewers.The crude and adjusted prevalence ratios were calculated using a log-binomial regression model. The correlation between pain intensity catastrophising of symptoms were statistically analysed.


The prevalence of CPP and primary dysmenorrhoea was 9.8% and 8.9%, respectively. Irritative urinary symptoms, primary dysmenorrhoea, and underlying mental disorders were associated with CPP, while smoking, irritable bowel syndrome, sleep disturbance, dyspareunia, and mental disorders were associated with primary dysmenorrhoea.


The prevalence of CPP and primary dysmenorrhoea in Ecuador was similar to that in other Latin American countries. Primary dysmenorrhoea is a risk factor of CPP, and less than a quarter of women are undergoing treatment for the condition. Our findings reinforce the importance of healthcare interventions in anticipating the diagnosis of these conditions in women of reproductive age.

Peer Review reports


Chronic pelvic pain (CPP) is a common condition that affects women at different stages of life, but most often occurs during the reproductive years [1]. As a role, it is defined as cyclical or non-cyclical pain of at least 3–6 months’ duration that occurs in lower abdominal region, pelvis, or the female organs of women, usually associated with negative cognitive, behavioral, sexual and emotional consequences. Despite recent efforts, there is still no consensus on a precise definition [2]. Typically, chronic cyclical pelvic pain is considered pain that occurs in association with the menstrual cycle, including dysmenorrhoea, but not only. It also incorporates pelvic pain that occurs in a cyclic pattern and not related to the menstrual cycle, such as those that occur at the time of intercourse and ovulation (Mittelschmerz pain) or are associated with numerous pathologies [3]. Primary dysmenorrhoea is the most frequent cause of cyclical CPP. It is defined as painful menstrual cycle with a cramping sensation in the lower abdomen immediately before or during the menstruation period in the absence of any pelvic pathology and commonly accompanied by other symptoms, such as sweating, headache, nausea, vomiting, diarrhoea, and tremulousness [4]. Typically it is presented after menarche or shortly after it (6 to 12 months) and is reported by up to 75% of women, being severe in up to 15% of them [5,6,7,8].

Non-cyclical CPP does not maintain a relationship with the cycle. Its global prevalence varies from 2%–27% and is approximately 4% in developed countries [9, 10]. At least 20% of these women do not have their condition properly investigated, up to 60% remain undiagnosed, and many experience symptoms for long periods [11, 12]. An overlap of gynaecological and non-gynaecological conditions can be diagnosed in up to 60% of women [13], and in approximately one-third of the patients, no specific pelvic disease is identified [14]. CPP is often associated with mood disorders [15], and 60%–80% of patients are diagnosed with somatoform disorder according to the International Classification of Diseases-10 criteria [16]. CPP accounts for 10%–20% of gynaecological consultations, 20% of hysterectomies, and 40% of gynaecological laparoscopies [17]. In addition, the disease has a negative impact on women's quality of life [18], contributes to high catastrophising scores [19], leads to social isolation [20], has a negative impact on performing work and daily activities [21], contributes to the frequent use of health services [22], and has a significant economic impact on the lives of women and the community as a whole [23, 24]. All these factors make the condition a serious public health problem that is still underestimated.

From a pathophysiological point of view, the condition is probably not a consequence of a specific disease, but a complex interaction of diverse factors, including life history and sociocultural factors. Several association factors have been identified in women with non-cyclic CPP and/or dysmenorrhoea, including age < 30 years, low body mass index, smoking, menarche before 12 years of age, long menstrual cycles, prolonged menstrual flow, nulliparity, premenstrual syndrome, infertility, pelvic inflammatory disease, sexual abuse, childhood violence, psychological symptoms, alcohol and drug abuse, abortions, endometriosis, and previous caesarean section [25,26,27]. The interaction between these factors and other correlates, such as high body mass index, catastrophising, and pelvic floor tenderness, has also been identified through machine learning tools [28]. Although a direct causal relationship between these associations and CPP cannot be inferred, there is an evident interaction between the gynaecological, urinary, gastrointestinal, musculoskeletal, neuroendocrine, and psychological systems.

Currently, there is a scarcity of studies reporting the prevalence of CPP and associated factors, making it difficult to design effective global public health policies to mitigate this problem. Mapping the occurrence of CPP and identifying associated factors in different countries and regions can contribute to a better understanding of the nuances of the disease, and consequently, favour measures to improve women’s health. Our objective was to estimate the prevalence of CPP, particularly non-cyclical pelvic pain (not occurring in association with menstruation or in a temporal pattern) and primary dysmenorrhoea (painful menstrual cramps presented since menarche), among women in the urban community of Quito, the capital of Ecuador, and to identify potential variables associated with their occurrence.


Study design

A cross-sectional community-based survey was conducted that included 2397 women of 14–49 years of age, recruited between August 2017 and July 2018 in Quito, Ecuador. This study was approved by the relevant university ethics committee. All participants or their legal representatives provided written informed consent. We followed the ethical standards for the regulation of research in humans in accordance with the Declaration of Helsinki.

Women of reproductive age between 14 and 49 years on the date of the interview, residing in the urban parishes of the Metropolitan District of Quito were eligible for inclusion. We excluded women who had been pregnant during the 12 months prior to the interview or those with a cognitive deficiency or altered mental state that prevented obtaining informed consent, understanding the questionnaire, or completing the interview.

Interviewer training and data management

Initially, two physicians supervising the interviewers underwent face-to-face training at the pelvic pain clinic, a specialized multidisciplinary public service and national reference with more than 25 years of experience in caring for these women. Subsequently, “in locu” interviewers were selected and trained. All interviewers had knowledge in the health area, but were not directly linked to any public health care program. The questionnaire (Additional file 1) was pre-tested on 50 women randomly selected from the urban parishes in the Metropolitan District of Quito. All women who were diagnosed with CPP were referred to the public health network for evaluation of their condition. Data were collected and managed using the REDCap electronic data capture tools hosted at [] [29]. REDCap is a secure, web-based software platform designed to support data capture for research studies, providing (1) An intuitive interface for validated data capture, (2) Audit trails for tracking data manipulation and export procedures, (3) Automated export procedures for seamless data downloads to common statistical packages, and (4) Procedures for data integration and interoperability with external sources.

Research location

The study was conducted in an urban area of the Metropolitan District of Quito, or the canton of Quito. The city is located in the province of Pichincha in northern Ecuador, in the inter-Andean region, in the eastern part of the Andes, and is divided into units of lower administrative political hierarchy, the parishes. In Quito, it is estimated that there are more than 830,000 women of reproductive age (between 14 and 49 years of age), accounting for approximately 57.3% of the population.

Data source and measurement methods

Information was obtained through interviews conducted at home in a confidential environment at a time chosen by the participant. A proportional stratified probabilistic sample was obtained, considering the population density per hectare in each parish (Fig. 1). The addresses in each region were selected by systematic sampling, in which residences were selected at regular intervals considering the number of homes estimated in the parish and the estimated number of women living in that area. Only one woman in each household was interviewed. In case of more than one woman being interested in participating by residence, the participant was randomly selected through the roll of a die (the one with the highest value would be chosen). The questionnaire chosen as the data collection instrument was provided to and completed by the interviewee herself or with the help of the interviewer, guaranteeing confidentiality and avoiding the effect of excessive interference from the researcher.

Fig. 1
figure 1

Urban parishes "parroquias" in Quito Ecuador and number of interviews carried out in each one

Sample size

The sample size was calculated according to the study design to respond to the main objective of the study, considering an infinite population. For this we used the expression \(n=\frac{{z}_{\frac{\alpha }{2}}^{2}\left(1-P\right)}{{\epsilon }^{2}P}\), where is the sample size, \({z}_{\frac{\alpha }{2}}^{2}\) is the statistic corresponding to level of confidence, P is the expected prevalence, and \(\epsilon\) is the relative error (the difference between the observed and expected prevalence multiplied by 100 and divided by the expected) [30]. We performed a simulation in which the prevalence and relative error were varied to estimate the sample size. We considered a scenario with a prevalence of 4% for both outcomes, a confidence coefficient of 95%, and a relative error of 20% as the most appropriate, and subsequently decided to survey at least 2,305 women.

Biases and minimization methods

The interviews were conducted predominantly on Saturday afternoons\because it was the most suitable period identified when all residents of the household were expected to be at home. All the women in the house at the time of the interviewers visit were screened for participation. In the event that more than one potential participant met the eligibility criteria in a single household, we performed a simple random selection, so that only one woman from each household was included. Children younger than 18 years participated if their legal representatives were found to authorise it.

Approximately 10% of the women in each parish were re-interviewed to check the reliability of the information provided. Any disagreement was reaffirmed with the participant and the information was considered ratified in the last interview. The data analysis was conducted by one of the researchers who did not have access to the interviews and by a statistician without prior knowledge of the clinical or characterisation data of the participants.


To define CPP, we considered the reVITALize proposal, an initiative led by the American College of Obstetricians and Gynecologists, that aims to standardise the terminology in gynaecology and obstetrics [31]. Therefore, we defined CPP as “pain symptoms perceived to originate from pelvic organs or structures typically lasting more than six months. It is often associated with negative cognitive, behavioural, sexual, and emotional consequences and symptoms suggestive of lower urinary tract, sexual, bowel, pelvic floor, myofascial, or gynaecological dysfunction”. The definition used was also in accordance with that proposed by the International Association for the Study of Pain [32]. To assess non-cyclical pelvic pain we asked the following question: “Have you ever experienced any persistent pelvic pain? Consider any type of pain in the lower part of your belly not occurring in concert with menstruation or in a temporal pattern. At this moment, you should not consider pain related to stomach flu, acute and infectious diarrhoea, food poisoning, acute trauma, sports, surgery, pregnancy or childbirth, intercourse, periods, menstrual cramps”. To assess primary dysmenorrhea we asked the following question: “Have you experienced recurrent, cramping pain during your periods since around your first period?”. Cramps perceived during, or shortly before and after, the menstrual period were considered, which characteristically began near menarche [4]. Pain from sexual intercourse is controversial but has been discussed as a component symptom of the conditions studied [13, 31]. Therefore, we assessed pain from sexual intercourse, but did not consider it part of CPP. We consider only moderate (intense pain that interrupts sexual intercourse) and severe dyspareunia (intense pain that prevents sexual intercourse).

We analysed non-cyclical pelvic pain and primary dysmenorrhoea separately as dependent variables and as a joint variable (non-cyclical pelvic pain plus primary dysmenorrhea). Pain intensity was measured using a visual analogue scale (VAS). The VAS consists of a 100-mm-long line at the left end of which is the phrase, “I don’t feel any pain,” and at the right end, “The pain I feel can’t be greater.” This scale is practical, fast, widely accepted, valid, and reliable [33, 34]. Participants were considered to have significant non-cyclical pelvic pain when the VAS score was ≥ 30 mm with a frequency of at least one episode per week [35]. The intensity of dysmenorrhoea was also classified as mild, moderate, or severe according to the degree of systemic involvement, use of medications, and level of interference with work or daily activities. Thus, dysmenorrhoea was classified as mild (possible pelvic discomfort with no effect on daily activity with, need for occasional medication), moderate (pain that affects daily life, responds to the use of medications, and forces you to miss work or school), or severe (pain that lasts the entire menstrual period, with significant limitations in daily activities, frequent use of high dosage medications, forces you to miss work, and often accompanied by symptoms such as severe headaches, weakness, and vomiting). At the time of the analysis, we considered only moderate and severe dysmenorrhoea as significant risk factors of CPP.

The other variables analysed were social, gynaecological, and clinical factors. The social metrics included age, body mass index, marital status, level of education, income, physical activity, religion, smoking of cigarettes, alcohol use disorder (impaired ability to stop or control alcohol use despite adverse social, occupational, or health consequences) according to criteria of the Diagnostic and Statistical Manual-5 [36], illicit drug use, and whether they had previously been the victim of violence (physical or sexual). Gynaecological variables included the use of contraceptives, sexual activity, dyspareunia (genital pain that can be experienced before, during, or after intercourse) [37], dysmenorrhoea, abnormal menstrual pattern (periods that occur less than 21 days or more than 45 days apart, duration higher than 8 days, missing three or more periods in row, and menstrual flow that is much higher or lower than usual) [38], and parity. The clinical variables were heart disease, diabetes, respiratory disease, previous completed cancer treatment, diagnosis of a mental disorder, health conditions such as low back pain and headache/migraine, infra-umbilical surgery (including caesarean section), functional gastrointestinal disorders diagnosed by the Rome-III criteria [39] and the Bristol Stool Form Scale [40, 41], urinary symptoms (pain, urgency, and increased frequency), and sleep disturbances. Additionally, the presence of mental disorders was determined using the self-reporting questionnaire 20 (SRQ-20) developed by the World Health Organization [42]. The SRQ-20 is used as a screening or case-finding instrument for identification of important psychological symptoms commonly in primary care settings. The instrument has been shown to be reproducible and consistent in various countries and communities. It has been used in various countries of Latin America [43,44,45] including Ecuador [46] as observed in previous studies, we used a cut-off > 7 to consider a positive screening for mental disorder. Pain catastrophizing was assessed using the Spanish version of Pain Catastrophising Scale, which has shown excellent reliability [47].

Statistical methods

All statistical analyses were performed using SAS version 9.4 (SAS Institute Inc., Cary, NC, USA, 2011). Initially, an exploratory data analysis was performed, considering the measures of central position (mean and median) and dispersion (standard deviation). For qualitative variables, absolute and relative frequencies were estimated. We used Student's t-test to compare the quantitative variables of interest, and Pearson correlation test was used to analyse the correlation between pain intensity and catastrophising of symptoms. To verify whether there was an association between the exploratory variables and their respective results, crude and adjusted prevalence ratios were calculated using log-binomial regression model. This model is a generalised linear binomial model with a logarithmic link function [48]. These models estimated the adjusted prevalence ratio followed by the 95% confidence interval. For each result, two models were built: one considering all the variables of interest, and another including only the variables that showed some statistical evidence of association on univariate analysis, considering all of them, even those significant for some outcomes only. However, in some situations we had restricted maximum likelihood limitations and the model did not fit. For this reason, there is a small divergence in the variables used to adjust the final models according to the outcome considered.Akaike’s information criteria, Bayesian information criteria, and log-likelihood criteria were considered for the choice of models.


We interviewed 2397 women. Thirty-three women residing in twenty residences chose not to participate in the research and did not respond to the questionnaires.

Non-cyclical CPP

We identified 236 participants with non-cyclical CPP (9.8%). Among them, the mean pain intensity in the last three months was 60.3 ± 19.7 mm, and the pain catastrophising score was 11.1 ± 12.0 of possible 52 points. There was no correlation between pain intensity and the catastrophising score (r = 0.26, p = 0.066).

Table 1 shows the results of the questionnaire, divided into a control group and those with non-cyclical CPP. Table 2A presents the adjusted prevalence ratios, 95% confidence intervals and p-values for factors associated with CPP. Irritative urinary symptoms, primary dysmenorrhoea, and mental disorders were factors independently associated with CPP.

Table 1 Distribution of the variables regarding non-cyclical pelvic pain as the outcome
Table 2 Estimates of the prevalence ratio adjusted by the log-binomial model, followed by confidence intervals and the p-value considering women with non cyclical pelvic pain, primary dysmenorrhoea, and with both jointly conditions

Primary dysmenorrhoea

We identified 213 participants with primary dysmenorrhoea (8.9%), of which 44 had non-cyclical CPP (20.7%). The mean pain intensity in the last three months was 74.3 ± 22.6 mm, and the pain catastrophising score was 12.8 ± 14.1. There was no correlation between the two variables (r = 0.25, p = 0.062). Table 3 shows the results of the questionnaire, divided into a control group and those with primary dysmenorrhoea. Table 2B presents the adjusted prevalence ratios, 95% confidence intervals and respective p-values of factors associated with primary dysmenorrhoea. Smoking, irritable bowel syndrome (IBS), sleep disturbance, dyspareunia, and mental disorder were independently associated with primary dysmenorrhoea.

Table 3 Distribution of the variables regarding primary dysmenorrhoea as the outcome

Non-cyclical CPP plus primary dysmenorrhoea

We identified 44 participants with non-cyclical CPP and primary dysmenorrhoea (1.8%). Among them, the mean pain intensity in the last three months was 80.9 ± 17.8 mm, and the pain catastrophising score was 16.9 ± 13.8 of possible 52 points. There was no correlation between pain intensity and the catastrophising score (r = 0.07, p = 0.640).

Table 4 shows the results of the questionnaire, divided into a control group and those with non-cyclical CPP and primary dysmenorrhoea. Table 2C presents the adjusted prevalence ratios, 95% confidence intervals and p-values for factors associated with joint conditions. IBS and mental disorders were independently associated with these joint conditions.

Table 4 Distribution of the variables regarding the joint variables non-cyclical pelvic pain and primary dysmenorrhoea (joint pain) as the outcome

Women with primary dysmenorrhoea experienced more intense pain than women with non-cyclical pelvic pain (74.3 ± 22.6 mm versus 60.3 ± 19.7 mm, respectively, mean difference = 14.0 mm, 95% confidence interval 10.0–17.9, p-value < 0.001). The difference between catastrophising scores was not significant between women with primary dysmenorrhoea and women with non-cyclical CPP (12.8 ± 14.1 versus 11.1 ± 12.0, respectively, mean difference = 1.7, 95% confidence interval − 0.7 to 4.1, p-value = 0.166).

Women with primary dysmenorrhoea and concomitant non-cyclical pelvic pain (n = 44/2,397, 1.8%) had a higher average mean pain intensity (80.9 ± 17.8 mm) than women with non-cyclical pelvic pain alone (mean difference = 20.6 mm, 95% confidence interval 14.3–26.9, p-value < 0.001), but there was no significant difference in pain score compared to the scores of women with primary dysmenorrhoea alone (mean difference = 6.6, 95% confidence interval − 0.5 to 13.8, p-value = 0.068). The catastrophising score in women with primary dysmenorrhoea and non-cyclical pelvic pain was 16.9 ± 13.8, which was higher than that of women with non-cyclical pelvic pain alone (mean difference = 5.8, 95% confidence interval 1.8–9.7, p = 0.005), but not statistically different from those of women with primary dysmenorrhoea alone (mean difference = 4.06, 95% confidence interval − 0.5 to 8.6, p = 0.082). Additionally, there was a weak correlation between pain intensity and the catastrophising score in women with both primary dysmenorrhoea and non-cyclical pelvic pain (r = 0.07, p = 0.005).


We identified a prevalence of 9.8% for non-cyclical CPP and 8.9% for primary dysmenorrhoea in women of reproductive age in Ecuador. The main variables associated with CPP were irritative urinary symptoms, primary dysmenorrhoea, and mental disorders. The main variables associated with primary dysmenorrhea were smoking, IBS, sleep disturbance, dyspareunia, and mental disorders. To the best of our knowledge, this is the first study reporting the prevalence of these conditions and associated factors in Ecuador. Reiterating the purpose of this study, we believe that the integration of this information in the international literature can contribute to highlight the importance of CPP within the context of women's health worldwide, and help to map common association factors that may be addressed through global health policies. The observed prevalence of CPP in Ecuador was similar to that identified in other Latin American countries. In Brazil, the prevalence of CPP varied between 10% in affluent neighbourhoods [11] and 20% in disadvantaged regions [49]. In Mexico, the prevalence rates of CPP and dysmenorrhoea were 6% and 40%, respectively [50].

Our study showed that both CPP and dysmenorrhoea were independently associated with higher SRQ-20 scores. We consider this an important point; however, there is a limitation due to the absence of a formal validation of the instrument in this population. Several prospective studies have attempted to understand the causal relationship between mood and psychiatric disorders and pain and vice-versa. Despite the lack of conclusive evidence, particularly with regard to primary dysmenorrhoea [51, 52], the literature suggests that chronic pain may be a greater risk factor for the development of negative psychological symptoms than vice-versa [53]. In any case, the mutual occurrence of these conditions may be, at least in part, due to common neurobiological vulnerabilities and signify an affective relationship or emotional vulnerability to chronic pain [54]. Some authors have also correlated the symptoms of anxiety and depression with the catastrophising process. However, although a correlation is present, they are different constructs [55]. Catastrophising is considered an attitude of distress or belief in response to perceived pain, as opposed to a coping mechanism [56]. Moreover, a significant aspect of this relationship is that women with high catastrophising scores have worse rates of symptom relief in response to different treatment strategies [57, 58].

We also found that primary dysmenorrhoea was a potential risk factor of non-cyclical pelvic pain. This finding is in agreement with that of a prospective study [59] and a recent meta-analysis of population-based studies [60]. There is also some evidence of an association between structural and functional brain alterations [61] and abnormal reward neural system connectivity in patients with primary dysmenorrhoea [62]. These changes may be associated with the abnormal empathy observed in women with primary dysmenorrhoea, regardless of their phase of the menstrual cycle [63, 64]. Along with catastrophising, these neurological aspects can significantly affect the experience and intensity of pain that is perceived by women with primary dysmenorrhoea [65].

In addition, long-standing primary dysmenorrhoea can induce adaptive neuroplasticity with consequent functional reorganisation of the central nervous system neural networks which can result in central sensitisation [66]. This functional remodelling can have implications for pain modulation [67], potentially leading to lower pain thresholds or greater reactivity to painful stimuli [68]. This reduced neuroplasticity may explain the high frequency and independent association between primary dysmenorrhoea and IBS observed in our study [69]. Another interesting finding was the independent association between CPP and irritative urinary symptoms. However, contrary to our expectations, irritative urinary symptoms were not associated with primary dysmenorrhoea. Recent studies have reported persistent autonomic dysfunction and bladder sensitivity in primary dysmenorrhoea [70]. Our study may not have been sensitive to detect this, as we did not perform any type of provocative testing, nor did we standardise the phase of the menstrual cycle at the time of administering the questionnaire, as has been used in study designs that repeatedly observe this association [71, 72].

Further, less than a quarter of the women with primary dysmenorrhoea in this study were using hormonal contraceptives, which can effectively control this condition [73]. This may reflect that socioeconomic inequalities still exist in women’s access to healthcare in Ecuador, even after the reformation in the Ecuadorian health system [74]. Although it is plausible to state that primary dysmenorrhoea is a relevant risk factor of non-cyclical CPP, only longitudinal studies can confirm a causal association between these conditions.

Another relevant observation in our study was the association between smoking and primary dysmenorrhoea, although we cannot draw conclusions about the nature of this temporal relationship. A recent meta-analysis of observational studies showed that smokers were 1.45 times more likely to develop dysmenorrhoea than non-smokers [75]. Furthermore, it has been observed that there is a strong dose–response association between tobacco exposure and the intensity of dysmenorrhoea [76]. On the other hand, there seems to be a complex relationship between smoking, psychological symptoms, and primary dysmenorrhoea. Some studies have even counterintuitively observed that symptoms of anxiety and depression may have a higher impact on dysmenorrhoea in women who have never smoked [77]. A possible explanation for this may be that the substances found in cigarettes can antagonise the synthesis of prostaglandins, which may be associated with the genesis of dysmenorrhoea. Nevertheless, the bidirectional relationship between smoking, anxiety, and depression may have obscured and complicated the interpretation of these findings [78]. Regarding primary dysmenorrhoea, our cross-sectional study design does not allow us to assert a temporal association between smoking and the development of pelvic pain. Despite this, the information is relevant because it shows the need for a policy to reduce the consumption and frequency of cigarette use among women with pain which is approximately 30%, and is well above the rates observed in the general population of women of reproductive age in Ecuador [79].

The association between primary dysmenorrhoea and sleep disturbance is also relevant. Recent publications have highlighted the potential negative impact of primary dysmenorrhoea on sleep disturbance, but only few studies have reported on this relationship [80]. A recent review showed that patients with chronic pain and sleep disturbances are more likely to experience anxiety, depression, catastrophising, and suicidal ideation [81]. This relationship is believed to be intrinsically linked to the presence of central sensitisation and dysfunction of the dopaminergic, serotonergic, and opioidergic systems [82]. Moreover, even in healthy individuals, sleep deprivation can trigger an increase in pain sensitivity, impairment in conditioned pain modulation, and facilitation of the temporal summation process [83]. This is further evidence that neuroplasty is associated with chronic pain processes and that primary dysmenorrhoea is a potential event which can induce this process, as brain changes can occur early and rapidly in these women [84, 85].

Implications for practice

Considering our study as a whole, primary dysmenorrhoea, in particular, draws our attention for its significant association with non-cyclical CPP, higher intensity of symptoms, and other elements suggestive of neuroplasty and central sensitisation. We believe that this may be an initial marker for the risk of pain progression to chronicity. Severely intermittent painful menstrual episodes can trigger a process of hyperalgesic priming, which in turn can lead to neuroplastic change in nociceptors and consequently, pain chronicity (Jarrel, Arendt-Nielsen AJOG 2016). Despite these negative aspects, our study shows that there is a window of opportunity to combat this condition, as only a quarter of women with the disease use contraceptives, which can relieve early symptoms and potentially prevent the progression of the condition or future deleterious associations. We believe that our population-based study provides evidence for the urgent need to determine whether early treatment of primary dysmenorrhoea is effective in reducing the intensity of associated symptoms, thereby reducing the risk of developing CPP. Finally, worldwide population studies are essential, not only to characterise the conditions, but also to alert the scientific and political community about the negative repercussions of these taboo subjects for women and society. This will allow the implementation of effective public health policies to understand and mitigate the problems associated with CPP and primary dysmenorrhoea.


Our study shows that the prevalence of CPP and primary dysmenorrhoea in this population is high, and the latter should be considered as a risk factor for the former. Furthermore, there is an independent association with symptoms that can be interpreted as signs of central sensitisation, neuroplasty (irritative urinary symptoms, IBS, sleep disturbance, and mental disorders) and potentially aggravating behaviours, particularly smoking (Additional file 1).



Chronic pelvic pain


Irritable bowel syndrome


Self-reporting questionnaire 20


Visual analogue scale


  1. Ayorinde AA, Bhattacharya S, Druce KL, Jones GT, Macfarlane GJ. Chronic pelvic pain in women of reproductive and post-reproductive age: a population-based study. Eur J Pain. 2017;21(3):445–55.

    CAS  PubMed  Article  Google Scholar 

  2. Williams RE, Hartmann KE, Steege JF. Documenting the current definitions of chronic pelvic pain: implications for research. Obstet Gynecol. 2004;103(4):686–91.

    PubMed  Article  Google Scholar 

  3. Won HR, Abbott J. Optimal management of chronic cyclical pelvic pain: an evidence-based and pragmatic approach. Int J Womens Health. 2010;20(2):263–77.

    Google Scholar 

  4. ACOG. ACOG Committee Opinion No. 760: dysmenorrhea and endometriosis in the adolescent. Obstet Gynecol. 2018;132(6):e249–58.

  5. Andersch B, Milsom I. An epidemiologic study of young women with dysmenorrhea. Am J Obstet Gynecol. 1982;144(6):655–60.

    CAS  PubMed  Article  Google Scholar 

  6. Weissman AM, Hartz AJ, Hansen MD, Johnson SR. The natural history of primary dysmenorrhoea: a longitudinal study. BJOG. 2004;111(4):345–52.

    PubMed  Article  Google Scholar 

  7. Burnett MA, Antao V, Black A, Feldman K, Grenville A, Lea R, et al. Prevalence of primary dysmenorrhea in Canada. J Obstet Gynaecol Can. 2005;27(8):765–70.

    PubMed  Article  Google Scholar 

  8. De Sanctis V, Soliman A, Bernasconi S, Bianchin L, Bona G, Bozzola M, et al. Primary dysmenorrhea in adolescents: prevalence, impact and recent knowledge. Pediatr Endocrinol Rev. 2015;13(2):512–20.

    PubMed  Google Scholar 

  9. Ahangari A. Prevalence of chronic pelvic pain among women: an updated review. Pain Physician. 2014;17(2):E141–7.

    PubMed  Article  Google Scholar 

  10. Latthe P, Latthe M, Say L, Gülmezoglu M, Khan KS. WHO systematic review of prevalence of chronic pelvic pain: a neglected reproductive health morbidity. BMC Public Health. 2006;6(1):177.

    PubMed  PubMed Central  Article  Google Scholar 

  11. da Silva GP de OG, do Nascimento AL, Michelazzo D, Alves Junior FF, Rocha MGMG, Silva JCRE, et al. High prevalence of chronic pelvic pain in women in Ribeirão Preto, Brazil and direct association with abdominal surgery. Clinics (Sao Paulo, Brazil). 2011;66(8):1307–12.

  12. Zondervan KT, Yudkin PL, Vessey MP, Jenkinson CP, Dawes MG, Barlow DH, et al. Chronic pelvic pain in the community—symptoms, investigations, and diagnoses. Am J Obstet Gynecol. 2001;184(6):1149–55.

    CAS  PubMed  Article  Google Scholar 

  13. ACOG. Chronic pelvic pain. Obstetrics Gynecology. 2020;135(3):e98–109.

  14. Warren JW, Morozov V, Howard FM. Could chronic pelvic pain be a functional somatic syndrome? Am J Obstet Gynecol. 2011;205(3):199.e1-5.

    Article  Google Scholar 

  15. Romão APMSPMS, Gorayeb R, Romão GSS, Poli-Neto OBB, Dos Reis FJCJC, Rosa-E-Silva JCC, et al. High levels of anxiety and depression have a negative effect on quality of life of women with chronic pelvic pain. Int J Clin Pract. 2009;63(5):707–11.

    PubMed  Article  Google Scholar 

  16. Ehlert U, Heim C, Hellhammer DH. Chronic pelvic pain as a somatoform disorder. Psychother Psychosom. 1999;68(2):87–94.

    CAS  PubMed  Article  Google Scholar 

  17. Mathias SD, Kuppermann M, Liberman RF, Lipschutz RC, Steege JF. Chronic pelvic pain: prevalence, health-related quality of life, and economic correlates. Obstet Gynecol. 1996;87(3):321–7.

    CAS  PubMed  Article  Google Scholar 

  18. Da Luz RA, de Deus JM, Conde DM. Quality of life and associated factors in Brazilian women with chronic pelvic pain. J Pain Res. 2018;11:1367–74.

    PubMed  PubMed Central  Article  Google Scholar 

  19. Sewell M, Churilov L, Mooney S, Ma T, Maher P, Grover SR. Chronic pelvic pain – pain catastrophizing, pelvic pain and quality of life. Scand J Pain. 2018;18(3):441–8.

    PubMed  Article  Google Scholar 

  20. Mellado BH, Falcone AC, Poli-Neto OB, E Silva JC, Nogueira AA, Candido-dos-Reis FJ. Social isolation in women with endometriosis and chronic pelvic pain. Int J Gynaecol Obstet Off Organ Int Fed Gynaecol Obstet. 2016;133(2):199–201.

    Article  Google Scholar 

  21. Grace V, Zondervan K. Chronic pelvic pain in women in new zealand: comparative well-being, comorbidity, and impact on work and other activities. Health Care Women Int. 2006;27(7):585–99.

    PubMed  Article  Google Scholar 

  22. Grace VM, Zondervan KT. Chronic pelvic pain in New Zealand: prevalence, pain severity, diagnoses and use of the health services. Aust N Z J Public Health. 2004;28(4):369–75.

    PubMed  Article  Google Scholar 

  23. Chen I, Thavorn K, Shen M, Goddard Y, Yong P, MacRae GS, et al. Hospital-associated costs of chronic pelvic pain in Canada: a population-based descriptive study. J Obstet Gynaecol Can. 2017;39(3):174–80.

    PubMed  Article  Google Scholar 

  24. Stones RW, Price C. Health services for women with chronic pelvic pain. J Royal Soc Med Royal Soc Med. 2002;95:531–5.

    Article  Google Scholar 

  25. Almeida ECS, Nogueira AA, Candido dos Reis FJ, Rosa e Silva JC. Cesarean section as a cause of chronic pelvic pain. Int J Gynaecol Obstet. 2002;79(2):101–4.

    CAS  PubMed  Article  Google Scholar 

  26. Latthe P, Mignini L, Gray R, Hills R, Khan K. Factors predisposing women to chronic pelvic pain: systematic review. BMJ. 2006;332(7544):749–55.

    PubMed  PubMed Central  Article  Google Scholar 

  27. Ayorinde AA, Macfarlane GJ, Saraswat L, Bhattacharya S. Chronic pelvic pain in women: an epidemiological perspective. Women’s Health (Lond Engl). 2015;11(6):851–64.

    CAS  Article  Google Scholar 

  28. Elgendi M, Allaire C, Williams C, Bedaiwy MA, Yong PJ. Machine learning revealed new correlates of chronic pelvic pain in women. Front Digit Health [Internet]. 2020 [cited 2021 Mar 30];2. Available from:

  29. Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)—A metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42(2):377–81.

    PubMed  Article  Google Scholar 

  30. Arya R, Antonisamy B, Kumar S. Sample size estimation in prevalence studies. Indian J Pediatr. 2012;79(11):1482–8.

    PubMed  Article  Google Scholar 

  31. Sharp HT, Johnson JV, Lemieux LA, Currigan SM. Executive summary of the reVITALize initiative: standardizing gynecologic data definitions. Obstet Gynecol. 2017;129(4):603–7.

    PubMed  Article  Google Scholar 

  32. Nicholas M, Vlaeyen JWS, Rief W, Barke A, Aziz Q, Benoliel R, et al. The IASP classification of chronic pain for ICD-11: chronic primary pain. Pain. 2019;160(1):28–37.

    PubMed  Article  Google Scholar 

  33. Hawker GA, Mian S, Kendzerska T, French M. Measures of adult pain: visual analog scale for pain (VAS Pain), numeric rating scale for pain (NRS Pain), McGill pain questionnaire (MPQ), short-form mcgill pain questionnaire (SF-MPQ), chronic pain grade scale (CPGS), short form-36 bodily pain scale (SF-36 BPS), and measure of intermittent and constant osteoarthritis pain (ICOAP). Arthritis Care Res. 2011;63(S11):S240–52.

    Article  Google Scholar 

  34. Delgado DA, Lambert BS, Boutris N, McCulloch PC, Robbins AB, Moreno MR, et al. Validation of digital visual analog scale pain scoring with a traditional paper-based visual analog scale in adults. J Am Acad Orthop Surg Glob Res Rev. 2018;2(3): e088.

    PubMed  PubMed Central  Google Scholar 

  35. Boonstra AM, Schiphorst Preuper HR, Balk GA, Stewart RE. Cut-off points for mild, moderate, and severe pain on the visual analogue scale for pain in patients with chronic musculoskeletal pain. Pain. 2014;155(12):2545–50.

    PubMed  Article  Google Scholar 

  36. American Psychiatric Association, American Psychiatric Association, editors. Diagnostic and statistical manual of mental disorders: DSM-5. 5th ed. Washington, D.C: American Psychiatric Association; 2013. 947 p.

  37. Tayyeb M, Gupta V. Dyspareunia. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2022 [cited 2022 Jun 2]. Available from:

  38. ACOG. ACOG Committee Opinion No. 651: Menstruation in girls and adolescents: using the menstrual cycle as a vital sign. Obstet Gynecol. 2015 Dec;126(6):e143–6.

  39. Drossman DA, Dumitrascu DL. Rome III: New standard for functional gastrointestinal disorders. J Gastrointestin Liver Dis. 2006;15(3):237–41.

    PubMed  Google Scholar 

  40. Parés D, Comas M, Dorcaratto D, Araujo MI, Vial M, Bohle B, et al. Adaptation and validation of the Bristol scale stool form translated into the Spanish language among health professionals and patients. Rev Esp Enferm Dig. 2009;101(5):312–6.

    PubMed  Article  Google Scholar 

  41. Lewis SJ, Heaton KW. Stool form scale as a useful guide to intestinal transit time. Scand J Gastroenterol. 1997;32(9):920–4.

    CAS  PubMed  Article  Google Scholar 

  42. Beusenberg M, Orley JH, Health WHOD of M. A User’s guide to the self reporting questionnaire (SRQ [Internet]. World Health Organization; 1994 [cited 2022 Jun 2]. Report No.: WHO/MNH/PSF/94.8. Unpublished. Available from:

  43. Penayo U, Kullgren G, Caldera T. Mental disorders among primary health care patients in Nicaragua. Acta Psychiatr Scand. 1990;82(1):82–5.

    CAS  PubMed  Article  Google Scholar 

  44. Mari JJ, Williams P. A validity study of a psychiatric screening questionnaire (SRQ-20) in primary care in the city of Sao Paulo. British J Psychiatry J Mental Sci. 1986;148:23–6.

    CAS  Article  Google Scholar 

  45. Lima BR, Pai S, Santacruz H, Lozano J. Psychiatric disorders among poor victims following a major disaster: Armero. Colombia J Nerv Ment Dis. 1991;179(7):420–7.

    CAS  PubMed  Article  Google Scholar 

  46. Lima BR, Chávez H, Samaniego N, Pai S. Psychiatric disorders among emotionally distressed disaster victims attending primary mental health clinics in Ecuador. Bull Pan Am Health Organ. 1992;26(1):60–6.

    CAS  PubMed  Google Scholar 

  47. Lami MJ, Martínez MP, Miró E, Sánchez AI. Versión Española de la ‘Escala de catastrofización del dolor’: Estudio psicométrico en mujeres sanas. [Spanish version of the Pain Catastrophizing Scale: Psychometric study in healthy women.]. Behavioral Psychology / Psicología Conductual: Revista Internacional Clínica y de la Salud. 2013;21(1):137–56.

  48. Fang Y. Asymptotic equivalence between cross-validations and akaike information criteria in mixed-effects models. J Data Sci. 2021;9(1):15–21.

    Article  Google Scholar 

  49. Coelho LSC, Brito LMO, Chein MBC, Mascarenhas TS, Costa JPL, Nogueira AA, et al. Prevalence and conditions associated with chronic pelvic pain in women from São Luís, Brazil. Braz J Med Biol Res. 2014;47(9):818–25.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  50. García-Pérez H, Harlow SD, Erdmann CA, Denman C. Pelvic pain and associated characteristics among women in northern Mexico. Int Perspect Sex Reprod Health. 2010;36(2):90–8.

    PubMed  Article  Google Scholar 

  51. Pakpour AH, Kazemi F, Alimoradi Z, Griffiths MD. Depression, anxiety, stress, and dysmenorrhea: a protocol for a systematic review. Syst Rev. 2020;26(9):65.

    Article  Google Scholar 

  52. Bajalan Z, Moafi F, MoradiBaglooei M, Alimoradi Z. Mental health and primary dysmenorrhea: a systematic review. J Psychosom Obstet Gynaecol. 2019;40(3):185–94.

    PubMed  Article  Google Scholar 

  53. Till SR, As-Sanie S, Schrepf A. Psychology of chronic pelvic pain: prevalence, neurobiological vulnerabilities, and treatment. Clin Obstet Gynecol. 2019;62(1):22–36.

    PubMed  PubMed Central  Article  Google Scholar 

  54. Williams DA. The importance of psychological assessment in chronic pain. Curr Opin Urol. 2013;23(6):554–9.

    PubMed  PubMed Central  Article  Google Scholar 

  55. Martin CE, Johnson E, Wechter ME, Leserman J, Zolnoun DA. Catastrophizing: a predictor of persistent pain among women with endometriosis at 1 year. Hum Reprod. 2011;26(11):3078–84.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  56. Turner JA, Jensen MP, Romano JM. Do beliefs, coping, and catastrophizing independently predict functioning in patients with chronic pain? Pain. 2000;85(1–2):115–25.

    CAS  PubMed  Article  Google Scholar 

  57. Carey ET, Martin CE, Siedhoff MT, Bair ED, As-Sanie S. Biopsychosocial correlates of persistent postsurgical pain in women with endometriosis. Int J Gynaecol Obstet. 2014;124(2):169–73.

    PubMed  Article  Google Scholar 

  58. Allaire C, Williams C, Bodmer-Roy S, Zhu S, Arion K, Ambacher K, et al. Chronic pelvic pain in an interdisciplinary setting: 1-year prospective cohort. Am J Obstet Gynecol. 2018;218(1):114.e1-114.e12.

    Article  Google Scholar 

  59. Li R, Kreher DA, Jusko TA, Chapman BP, Bonham AD, Seplaki CL. Prospective Association between dysmenorrhea and chronic pain development in community-dwelling women. J Pain. 2021;22(9):1084–96.

    PubMed  Article  Google Scholar 

  60. Li R, Li B, Kreher DA, Benjamin AR, Gubbels A, Smith SM. Association between dysmenorrhea and chronic pain: a systematic review and meta-analysis of population-based studies. Am J Obstet Gynecol. 2020;223(3):350–71.

    PubMed  Article  Google Scholar 

  61. Low I, Wei SY, Lee PS, Li WC, Lee LC, Hsieh JC, et al. Neuroimaging studies of primary dysmenorrhea. Adv Exp Med Biol. 2018;1099:179–99.

    CAS  PubMed  Article  Google Scholar 

  62. Zhang Q, Yu S, Wang Y, Wang M, Yang Y, Wei W, et al. Abnormal reward system network in primary dysmenorrhea. Molecular Pain [Internet]. 2019 [cited 2022 Feb 22];15. Available from:

  63. Mu J, Wang Q, Dun W, Yang J, Wang K, Zhang M, et al. The effects of long-term menstrual pain on pain empathy in women with primary dysmenorrhea. Pain. 2021;162(7):2051–9.

    PubMed  Article  Google Scholar 

  64. Wang C, Liu Y, Dun W, Zhang T, Yang J, Wang K, et al. Effects of repeated menstrual pain on empathic neural responses in women with primary dysmenorrhea across the menstrual cycle. Hum Brain Mapp. 2020;42(2):345–56.

    PubMed  PubMed Central  Article  Google Scholar 

  65. Yakunchikov DY, Olechowski CJ, Simmonds MK, Verrier MJ, Rashiq S, McWilliams LA, et al. The effect of social observational learning, empathy and catastrophizing in chronic pain patients during acute pain induction. Pain Med. 2017;18(5):871–8.

    PubMed  Google Scholar 

  66. Payne LA, Seidman LC, Sim MS, Rapkin AJ, Naliboff BD, Zeltzer LK. Experimental evaluation of central pain processes in young women with primary dysmenorrhea. Pain. 2019;160(6):1421–30.

    PubMed  PubMed Central  Article  Google Scholar 

  67. Wu TH, Tu CH, Chao HT, Li WC, Low I, Chuang CY, et al. Dynamic changes of functional pain connectome in women with primary dysmenorrhea. Sci Rep. 2016;19(6):24543.

    Article  CAS  Google Scholar 

  68. Payne LA, Rapkin AJ, Seidman LC, Zeltzer LK, Tsao JC. Experimental and procedural pain responses in primary dysmenorrhea: a systematic review. J Pain Res. 2017;10:2233–46.

    PubMed  PubMed Central  Article  Google Scholar 

  69. Zheng Z, Zeng Y, Yang W, Wu J. Irritable bowel syndrome may be induced by decreased neuroplasticity. Neuro Endocrinol Lett. 2014;35(8):655–65.

    PubMed  Google Scholar 

  70. Oladosu FA, Hellman KM, Ham PJ, Kochlefl LE, Datta A, Garrison EF, et al. Persistent autonomic dysfunction and bladder sensitivity in primary dysmenorrhea. Sci Rep. 2019;9(1):2194.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  71. Tu FF, Datta A, Atashroo D, Senapati S, Roth G, Clauw D, et al. Clinical profile of comorbid dysmenorrhea and bladder sensitivity: a cross-sectional analysis. Am J Obstet Gynecol. 2020;222(6):594.e1-594.e11.

    Article  Google Scholar 

  72. Hellman KM, Roth GE, Dillane KE, Garrison EF, Oladosu FA, Clauw DJ, et al. Dysmenorrhea subtypes exhibit differential quantitative sensory assessment profiles. Pain. 2020;161(6):1227–36.

    PubMed  PubMed Central  Article  Google Scholar 

  73. Damm T, Lamvu G, Carrillo J, Ouyang C, Feranec J. Continuous vs cyclic combined hormonal contraceptives for treatment of dysmenorrhea: a systematic review. Contracept X. 2019.

    Article  PubMed  PubMed Central  Google Scholar 

  74. Quizhpe E, Sebastian MS, Teran E, Pulkki-Brännström AM. Socioeconomic inequalities in women’s access to health care: has Ecuadorian health reform been successful? Int J Equity Health. 2020;19(1):178.

    PubMed  PubMed Central  Article  Google Scholar 

  75. Qin LL, Hu Z, Kaminga AC, Luo BA, Xu HL, Feng XL, et al. Association between cigarette smoking and the risk of dysmenorrhea: a meta-analysis of observational studies. PLoS ONE. 2020;15(4): e0231201.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  76. Chen C, Cho SI, Damokosh AI, Chen D, Li G, Wang X, et al. Prospective study of exposure to environmental tobacco smoke and dysmenorrhea. Environ Health Perspect. 2000;108(11):1019–22.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  77. Dorn LD, Negriff S, Huang B, Pabst S, Hillman J, Braverman P, et al. Menstrual symptoms in adolescent girls: association with smoking, depressive symptoms, and anxiety. J Adolesc Health. 2009;44(3):237–43.

    PubMed  Article  Google Scholar 

  78. Fluharty M, Taylor AE, Grabski M, Munafò MR. The association of cigarette smoking with depression and anxiety: a systematic review. Nicotine Tob Res. 2017;19(1):3–13.

    PubMed  Article  Google Scholar 

  79. Tong VT, Turcios-Ruiz RM, Dietz PM, England LJ. Patterns and predictors of current cigarette smoking in women and men of reproductive age-Ecuador, El Salvador, Guatemala, and Honduras. Rev Panam Salud Publica. 2011;30(3):240–7.

    PubMed  Article  Google Scholar 

  80. Ishikura IA, Hachul H, Pires GN, Tufik S, Andersen ML. The impact of primary dysmenorrhea on sleep and the consequences for adolescent academic performance. J Clin Sleep Med. 2020;16(3):467–8.

    PubMed  PubMed Central  Article  Google Scholar 

  81. Husak AJ, Bair MJ. Chronic pain and sleep disturbances: a pragmatic review of their relationships, comorbidities, and treatments. Pain Med. 2020;21(6):1142–52.

    PubMed  Article  Google Scholar 

  82. Nijs J, Mairesse O, Neu D, Leysen L, Danneels L, Cagnie B, et al. Sleep disturbances in chronic pain: neurobiology, assessment, and treatment in physical therapist practice. Phys Ther. 2018;98(5):325–35.

    PubMed  Article  Google Scholar 

  83. Staffe AT, Bech MW, Clemmensen SLK, Nielsen HT, Larsen DB, Petersen KK. Total sleep deprivation increases pain sensitivity, impairs conditioned pain modulation and facilitates temporal summation of pain in healthy participants. PLoS ONE. 2019;14(12): e0225849.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  84. Tu CH, Niddam DM, Yeh TC, Lirng JF, Cheng CM, Chou CC, et al. Menstrual pain is associated with rapid structural alterations in the brain. Pain. 2013;154(9):1718–24.

    PubMed  Article  Google Scholar 

  85. Lee PS, Low I, Chen YS, Tu CH, Chao HT, Hsieh JC, et al. Encoding of menstrual pain experience with theta oscillations in women with primary dysmenorrhea. Sci Rep. 2017;7(1):15977.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

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We acknowledge Ricardo Perussi e Silva for technical support and management of REDCap. We also acknowledge CAPES, which is the Foundation for supporting our post- graduate program; FAEPA; and UCE for the academic mobility agreement between the institutions to support the training of doctors.


This research did not receive any specific grants from funding agencies in the public, commercial, or not-for-profit sectors. This study was partly supported by Universidad Central del Ecuador (UCE), Foundation for the Support of Teaching, Research and Service of the University Hospital of the Ribeirão Preto Medical School (FAEPA), and Coordination for the Improvement of Higher Education Personnel (CAPES).

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CYLMVR: Conception, design, acquisition of data, interpretation of data, drafting the article, prepared Fig. 1, final approval. SCM: Analysis and interpretation of data, revising the article, final approval. AAN: Conception, interpretation of data, revising the article, final approval. JAVC: Acquisition of data, interpretation of data, revising the article, final approval. JCRS: Interpretation of data, revising the article, final approval. FJCR: Analysis and interpretation of data, revising the article, final approval. OBPN: Conception, design, acquisition of data, analysis and interpretation of data, drafting and revising the article, final approval. All authors read and approved the final manuscript.

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Correspondence to Omero Benedicto Poli-Neto.

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. Information from the questionnaire used for the interviews.

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de Las Mercedes Villa Rosero, C.Y., Mazin, S.C., Nogueira, A.A. et al. Prevalence of chronic pelvic pain and primary dysmenorrhea in women of reproductive age in Ecuador. BMC Women's Health 22, 363 (2022).

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  • Chronic pelvic pain
  • Primary dysmenorrhoea
  • Prevalence
  • Associated factors
  • Ecuador