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BMJ. Apr 1, 2006; 332(7544): 749–755.
PMCID: PMC1420707

Factors predisposing women to chronic pelvic pain: systematic review

Pallavi Latthe, subspecialty trainee in urogynaecology,1 Luciano Mignini, WHO research fellow,1 Richard Gray, professor of medical statistics,2 Robert Hills, principal statistician,2 and Khalid Khan, professor1


Objective To evaluate factors predisposing women to chronic and recurrent pelvic pain.

Design, data sources, and methods Systematic review of relevant studies without language restrictions identified through Medline, Embase, PsycINFO, Cochrane Library. SCISEARCH, conference papers, and bibliographies of retrieved primary and review articles. Two reviewers independently extracted data on study characteristics, quality, and results. Exposure to risk factors was compared between women with and without pelvic pain. Results were pooled within subgroups defined by type of pain and risk factors.

Results There were 122 studies (in 111 articles) of which 63 (in 64 286 women) evaluated 54 risk factors for dysmenorrhoea, 19 (in 18 601 women) evaluated 14 risk factors for dyspareunia, and 40 (in 12 040 women) evaluated 48 factors for non-cyclical pelvic pain. Age < 30 years, low body mass index, smoking, earlier menarche (< 12 years), longer cycles, heavy menstrual flow, nulliparity, premenstrual syndrome, sterilisation, clinically suspected pelvic inflammatory disease, sexual abuse, and psychological symptoms were associated with dysmenorrhoea. Younger age at first childbirth, exercise, and oral contraceptives were negatively associated with dysmenorrhoea. Menopause, pelvic inflammatory disease, sexual abuse, anxiety, and depression were associated with dyspareunia. Drug or alcohol abuse, miscarriage, heavy menstrual flow, pelvic inflammatory disease, previous caesarean section, pelvic pathology, abuse, and psychological comorbidity were associated with an increased risk of non-cyclical pelvic pain.

Conclusion Several gynaecological and psychosocial factors are strongly associated with chronic pelvic pain. Randomised controlled trials of interventions targeting these potentially modifiable factors are needed to assess their clinical relevance in chronic pelvic pain.


Chronic pelvic pain is a common gynaecological problem with an estimated prevalence of 38 per 1000 in women aged 15-73, a rate comparable with that of asthma (37/1000) and chronic back pain (41/1000).1 It is the single most common indication for referral to gynaecology clinics, accounting for 20% of all outpatient appointments in secondary care.2 An estimated £158m (€230m, $274m) is spent annually on the management of this condition in the NHS,3 and $881.5m a year (£507m, €740m) on its outpatient management in the United States.4

There is wide variation in clinical evaluation of women with chronic pelvic pain. Diagnostic laparoscopy is often carried out after referral to a gynaecologist as an initial investigation to uncover pathological causes—for example, endometriosis or adhesions—but has negative results in over half of cases.5 Moreover, the extent to which such conditions cause pain is uncertain as there is overlap with psychosocial factors in most cases.6,7 Even laparoscopy may have beneficial effects through psychological mechanisms.8 Thus empirical treatment is increasingly being recommended as standard initial management.9,10 There is, however, uncertainty about the effectiveness of the available treatments11-17 and, consequently, variation in their use. A better understanding of the relative contribution of various pathological, social, and psychological factors18 would be helpful in clinical evaluation as well as in the development of prevention and treatment strategies.

Several primary studies have sought to identify risk factors for chronic pelvic pain but often with conflicting results. A previous meta-analysis summarised the evidence on social and psychological factors,18 but language restrictions in its search and lack of quality assessment of the studies included19 potentially limit the strength of its inferences. To date, we know of no systematic review of the influence of physical and environmental (smoking, occupational stress, etc) factors. We undertook a comprehensive systematic review of all studies that evaluated risk factors for chronic pelvic pain.


We developed a protocol using widely recommended methods for systematic reviews of observational studies.20,21 We searched general bibliographic databases (Medline (1966-2004), Embase (1980-2004), and PSYCHINFO (1887-2004)) and searched specialist computer databases (Cochrane Library (2004, issue 1) and SCISEARCH (1974-2004)). Our search term combination for electronic databases, based on published advice,22 was MeSH headings, text words, and word variants for dysmenorrhoea, dyspareunia, and chronic pelvic pain. We used relevant terms for aetiological factors (causal, odds ratio, relative risk, etc) combined with terms for relevant study designs (cohort, risk, case-control studies) and restricted the search to human and female. We also hand searched the bibliographies of all relevant reviews and primary studies to identify articles not captured by electronic searches.

Criteria for selection of studies

Different definitions of chronic pelvic pain exist, based on duration, location, and type of pain and relation to menstruation and sexual activity.23-30 Recurrent pain, such as that associated with isolated dysmenorrhoea and dyspareunia, is often considered biologically distinct from chronic pain, although many women have overlapping symptoms. To investigate any differences in risk factors for different classes of chronic pelvic pain, we adopted an inclusive approach with a composite of chronic and recurrent pelvic pain. We selected studies that included a comparison group without pelvic pain and provided information on exposure to any risk factor according to various criteria.

We classified risk factors as general (age, race, body mass index, smoking, occupational exposures, socioeconomic status, education, exercise); gynaecological and obstetric (contraception, age at menarche, duration of menstrual flow, premenstrual symptoms, infertility, history of abortion or miscarriage, parity, age at birth of first child, previous caesarean section, pelvic inflammatory disease, pelvic adhesions, varices, endometriosis, menopause); and psychological and social (history of childhood or lifetime physical, psychological, or sexual abuse, anxiety, depression, borderline syndrome, psychosomatic symptoms, alcohol or drug abuse, unsatisfactory family relationship, history of death or divorce of parent at an early age, alcoholism in parent, disturbed childhood).

We included studies of menstrual pain (dysmenorrhoea), pain related to intercourse (dyspareunia), and chronic non-cyclical pain, localised in the lower abdomen and pelvis and lasting three months or more. Studies on women with only vulvar pain were ineligible.

Observational (cohort, case-control, or cross sectional) studies had to provide information on the association of risk factors with chronic pelvic pain. We excluded studies without comparative information on risk factors and outcomes.

Study selection and data extraction

Studies were selected in a two stage process. PL scrutinised the citations downloaded from the electronic searches and obtained full manuscripts of all citations that met or might have met the predefined selection criteria. PL and LM made the final decision on inclusion or exclusion of these manuscripts. For duplicate publication we used all reports to assess study characteristics and quality but selected only the most recent and complete versions for results. We applied no language restrictions. PL and LM independently assessed English manuscripts. People with command of the language assessed and extracted data from manuscripts in Chinese, Bulgarian, French, German, and Japanese. We resolved any disagreements about inclusion or exclusion by consensus or arbitration by a third reviewer (KK) and extracted information on characteristics of participants, exposures, and outcomes. Some studies provided information on more than one outcome. For each outcome, we extracted data on separate forms. PL and LM piloted the data extraction form on primary studies related to dyspareunia. Overall, the observer agreement regarding the various components of the data extraction form was 90-100%. We attempted to obtain missing data by contacting authors via email or post. Wherever possible, we used exposure data and numbers of women with and without chronic pelvic pain to construct 2×2 tables. In studies where the data on exposure were continuous, we abstracted means, SDs, and numbers in groups with and without chronic pelvic pain. In some studies, where these data were absent, we extracted significance (P) values or correlation coefficients if quoted.

Assessment of study quality

We assessed all manuscripts that met the selection criteria for quality. We defined quality as the confidence that the study design, conduct, and analysis minimised bias in the estimation of the effect of exposure to a risk factor. Our quality items were based on existing texts and checklists.20,31,32 We considered a study to be of good quality if it used prospective design, consecutive or random recruitment of participants, ascertainment of exposures with validated instruments, ascertainment of outcome by clinical evaluation with or without laparoscopy, temporal relation between exposure and outcome, and control for confounding factors. We classified studies arbitrarily into high or low quality categories by whether or not they fulfilled three or more of these criteria.

Statistical analysis

We tabulated information from each study stratified according to the three prespecified outcomes (dysmenorrhoea, dyspareunia, and non-cyclical pelvic pain). Results were computed separately for dichotomous and continuous data. For dichotomous data, we assessed effects in individual studies using standard Mantel Haenszel techniques,33 giving Peto odds ratios and confidence intervals.34 For continuous outcomes, the measure of interest was the standardised mean difference (SMD), the difference in means divided by the pooled SD, which we used to synthesise data from studies where different scales were used.35 This method assumes that differences in SDs in the studies arise from differences in the scales rather than differences in population. To combine studies which assessed the same factors, but where some studies used continuous and some used dichotomous variables, we used the SD factor of π/Ö3 to convert from SMD to log odds ratio.36 Results were displayed graphically with odds ratio plots with continuous and dichotomous scales where appropriate and heterogeneity between trials assessed with standard techniques.35 To allow for the possibility of false positive results arising out of multiple testing, we used 99% confidence intervals in all plots.

Studies within each outcome were subgrouped according to risk factors and further according to control groups (pain free or with other pain). We also stratified by study quality. We assessed heterogeneity of individual effects within subgroups of studies graphically (using odds ratios plots) and statistically (using χ2 tests) to help us decide how to proceed with quantitative synthesis.37,38 We explored possible sources of heterogeneity by meta-regression analysis for risk factors with more than 10 studies39,40 using various explanatory variables defined a priori including age and study quality. When a variable was not explicitly mentioned, it was treated as “no” in the meta-regression analysis. To evaluate publication and related biases, we generated funnel plots (odds ratios or SMD v reciprocal of its SE) for risk factors with more than 10 studies. We also performed statistical analysis for funnel asymmetry,41-44 although this was limited owing to the small number of studies in the subgroups.


Literature identification, study characteristics, and quality

We identified 5567 citations, of which we selected 111 articles (with122 studies) for review (fig 1). Sixty three studies (in 64 286 women) evaluated dysmenorrhoea, 19 studies (in 18 601 women) evaluated dyspareunia, and 40 studies (in 12 040 women) evaluated non-cyclical pelvic pain (full details of all included and excluded studies are at www.luna.bham.ac.uk/Publications.htm). Twenty nine studies (46%) on dysmenorrhoea, 13 (68%) on dyspareunia, and 28 (70%) on non-cyclical pelvic pain satisfied three or more quality criteria (fig 2).

Fig 1
Study selection process for systematic review of studies of predisposing factors for chronic pelvic pain
Fig 2
Methodological quality of studies included in systematic review of risk factors for chronic pelvic pain (data presented as 100% stacked bars; figures in stacks represent number of studies)

Risk factors for chronic pelvic pain

Presentation with dysmenorrhoea was associated with age (< 30 years), being thin (BMI < 20), smoking, early menarche (< 12 years), longer cycles/duration of bleeding, irregular or heavy menstrual flow, presence of premenstrual symptoms, clinically suspected pelvic inflammatory disease, sterilisation, and history of sexual assault (fig 3). The risk of dysmenorrhoea increased with the number of cigarettes smoked (P < 0.05 by trend test).45,46 Use of oral contraceptives, fish intake, physical exercise, being married or in a stable relationship, and higher parity were associated with reduced risk of dysmenorrhoea.

Fig 3
Meta-analysis of risk factors associated with dysmenorrhoea (all multiple studies are heterogeneous; *** P<0.001, **P<0.01)

Dyspareunia was more common in women who had been “circumcised,” had clinically suspected pelvic inflammatory disease, or were peri/postmenopausal. Anxiety, depression, and sexual assault were more common in women with dyspareunia (fig 4).

Fig 4
Meta-analysis of risk factors associated with dyspareunia (all multiple studies are heterogeneous; *** P<0.001, **P<0.01)

Non-cyclical pelvic pain was associated with numerous general, gynaecological, and obstetric factors; abuse; and psychological morbidity—notably, previous miscarriage, longer menstrual flow, presence of endometriosis, clinically suspected pelvic inflammatory disease, caesarean section scar, pelvic adhesions, childhood physical or sexual abuse, lifetime sexual abuse or any abuse, anxiety, depression, hysteria, and somatisation (fig 5).

Fig 5
Meta-analysis of risk factors associated with non-cyclical chronic pelvic pain (all multiple studies are heterogeneous; *** P<0.001, **P<0.01)

Subgroup investigations

Multivariable meta-regression analysis showed that sexual abuse was not associated with any particular type of chronic pelvic pain. In this analysis, poor quality studies showed more prominent associations between abuse and pelvic pain than good quality studies (P = 0.02). On subgroup analysis, we found that abuse was more strongly associated with pelvic pain when the comparison group was pain-free than when the controls had other pain like backache or headache. Psychological morbidity (depression, anxiety, neuroticism, and somatisation) was more in women with pelvic pain than in pain-free controls (P = 0.03), irrespective of presence or absence of obvious pelvic pathology on laparoscopy.


In this comprehensive review we evaluated over 60 risk factors in 122 studies and found strong and consistent associations between chronic pelvic pain and presence of pelvic pathology, history of abuse, and coexistent psychological morbidity. These key gynaecological and psychosocial factors provide potential targets for new therapeutic strategies for treating women with this disabling condition, for which current treatment options provide little relief.

The review represents the best available evidence on the consistency and strength of the association of risk factors with the various types of chronic pelvic pain. It was rigorously carried out with an extensive literature search without language restrictions. It met the criteria laid down in the MOOSE statement.47 We paid careful attention to quality assessment of studies and collected information important for evaluation of the validity of the observed associations, potential for bias, and causality. Using a new statistical technique, we combined results expressed as odds ratios and as mean differences to improve statistical power as well as to combine all relevant evidence in one unified analysis.36

Limitations and potential bias

Our review was limited to evaluation of risk factors studied in published reports—for example, we did not identify any study that investigated comorbidities such as irritable bowel syndrome. Publication bias is another potential problem as studies may have looked at the interaction of several risk factors with chronic pelvic pain but published only those that were interesting or statistically significant. Theoretically, this could introduce bias in both directions—that is, analyses are probably equally likely to be published whether or not a particular factor indicates an abnormally high or low risk. Funnel plots showed evidence of publication bias for just three of the risk factors studied: oral contraceptives, parity, and smoking showed asymmetry (P < 0.01) in favour of positive results in dysmenorrhoea, which indicates that these associations may be explained by publication bias. There was no indication of publication bias, however, for the associations of childhood and adulthood sexual abuse with non-cyclical pelvic pain (P = 0.5).

Certain population features may affect the validity of our findings. We did not uniformly use an explicit definition for chronic pelvic pain and the prognosis may vary according to population characteristics—for example, women with short duration of symptoms (such as up to three months) are more likely to have spontaneous resolution of symptoms. Among the few studies (16/122) that reported duration of symptoms, however, only two included women who had had symptoms for less than six months, making it improbable that variable symptom duration might be confounding associations, particularly as women tend to wait a long time before seeking advice. Other concerns relate to the use of non-standard measurement tools with questionable validity or reliability to discriminate between women with and without a risk factor. Often studies were lacking in one or another quality feature. For these reasons, associations that are not strong and consistent should be viewed as no more than hypothesis generating.

Retrospective association studies can be biased by an inappropriate choice of control group—for example, choosing women who have experienced physical or psychological abuse as a control group for a sexually abused group may obscure clinically relevant differences between sexually abused and nonsexually abused women because psychological distress is present in both groups.48,49 Bias may also arise if control groups are selected from women consulting for other conditions in the same setting who did not have laparoscopy and so presence of pathology could not be assessed. The choice of community controls in some studies50,51 can also be misleading as associations between risk factors and chronic pelvic pain may be due to differences in healthcare seeking behaviour rather than chronic pelvic pain itself.52

Inter-related risk factors

It is important to disentangle the relative importance of the key risk factors because chronic pelvic pain is seldom caused by a single factor alone. For example, abuse is strongly associated with depression in women53 so it is possible that women who are abused are depressed and hence complain of chronic pelvic pain more often. Similarly, worry about menstrual distress may lead to heightened anxiety rather than the anxiety itself prompting dysmenorrhoea. It could also be that pathology, the root cause of dysmenorrhoea and dyspareunia, may contribute to somatic imbalance that is expressed in raised scores on personality inventories.54 We could not perform multivariate analysis in our meta-analyses to disentangle such relations between factors. Pooling of raw data from relevant studies in meta-analyses of data from individual patients might help to clarify the causality of some observed associations.

The key criteria for judging whether risk factors are causal are consistency, strength, and temporality of association; methodological quality of the studies; dose-response relation; and biological plausibility.55 Our review was based largely on case-control studies, which are subject to incomplete or selective recall of previous events.56 Prospective cohort studies are a more reliable way of delineating a relation between various risk factors and chronic pelvic pain. Only a quarter of the studies evaluated the temporal relation between risk factors and such pain. This is especially a problem for psychiatric comorbidities such as depression. Temporality, however, is only one of several causal criteria, and it is sometimes reasonable to infer that an observed association is causal even though not all criteria are met.57 The associations between abuse, psychological morbidity and pathology, and chronic pelvic pain are sufficiently consistent and strong to suggest that they may well be causally related. Robust aetiological studies should confirm this suggestion. Such studies could provide important insights into ways of improving treatment strategies for millions of women with pelvic pain. In the meantime, it would be rational to use the findings of our review to design robust intervention studies targeted at modifiable psychological and pathological risk factors in chronic pelvic pain.

What is already known on this topic

Chronic pelvic pain is a common disabling condition that has been poorly studied

There is uncertainty about the causes and best treatment

What this study adds

This comprehensive review highlights strong associations between all types of chronic pelvic pain and pelvic pathology, history of abuse, and psychological morbidity


We thank Mary Publicover for helping with the electronic search for the systematic review; J Chan, Stefka Ritchie, Tomoo Shaktari, and H Kuntz for the foreign language translations; and K Dunn and J Golding for providing data.

Contributors: PL was responsible for conception, design, search, study selection, data extraction and synthesis, and writing the manuscript. LM extracted data and created tables. RH was responsible for statistical analysis and figures. RG was responsible for statistical analysis, interpretation, and revision of manuscript. KK was responsible for conception, design, data synthesis, and writing and revising the manuscript. PL and KK are guarantors.

Funding: PL was a research fellow coordinating the laparoscopic uterine nerve ablation trial for chronic pelvic pain and was funded by WellBeing of Women grant CF/371 while performing this systematic review.

Competing interest: None declared.

Ethical approval: Not required.


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